ETH DCA Strategy [3Commas & Quantpilot]ETH DCA RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for ETH / USDT that opens a position only in oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below the entry threshold; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 36 (oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (4.5%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 What changed — two parameters, tuned with QuantPilot:
This strategy started from a baseline configuration (RSI entry below 28, 3% take-profit). Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, two parameters were swept and re-selected: the RSI entry threshold moved from 28 to 36, and the take-profit moved from 3% to 4.5%. Everything else was left untouched — same five-order ladder, same deviations, same 1.8× sizing, same fees.
- Baseline (RSI < 28, TP 3%): Net +5,790.33 USDT (+5.79%), Max Drawdown 3.83%, 93 closed trades, 68.82% profitable, Profit Factor 5.019.
- Optimized (RSI < 36, TP 4.5%): Net +14,518.03 USDT (+14.52%), Max Drawdown 4.41%, 134 closed trades, 71.64% profitable, Profit Factor 7.513.
The result: net profit roughly 2.5× higher (+5.79% → +14.52%), profit factor up from 5.0 to 7.5, win rate up from 69% to 72%, and the trade count rose from 93 to 134. The looser RSI entry (36) lets the strategy engage the dip earlier and more often, while the wider 4.5% target lets each recovery run further before the position is banked; the trade-off is a modestly higher drawdown (3.83% → 4.41%). The published defaults use the optimized values; the baseline metrics are shown here purely so the effect of the two parameter changes is transparent.
🔷 Who is it for:
- Swing traders accumulating ETH on RSI pullbacks rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 36 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 4.5% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Parameters: The RSI threshold (36) and take-profit (4.5%) are not arbitrary — they are the values the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The RSI threshold and take-profit were selected by sweeping those parameters over the same historical window shown in the results. Values that were best in-sample are not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume: The optimized configuration produced 134 closed trades over ~30 months (93 on the baseline) — above the ~100-trade threshold commonly used as a floor for statistical relevance, which lends more weight to the win rate and profit factor than a smaller sample would. Still, past results do not guarantee future performance.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ETH trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:ETHUSDT.P (Perpetual) — strategy is portable to any ETH / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 36 (optimizer-tuned from 28).
Take Profit: 4.5% above average entry (optimizer-tuned from 3%).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — RSI < 36, TP 4.5%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +14,518.03 USDT (+14.52%)
Max Equity Drawdown: 4,939.51 USDT (4.41%)
Total Closed Trades: 134
Percent Profitable: 71.64% (96 / 134)
Profit Factor: 7.513
🔷 STRATEGY RESULTS (Baseline — RSI < 28, TP 3%, for comparison)
Net Profit: +5,790.33 USDT (+5.79%)
Max Equity Drawdown: 3,976.44 USDT (3.83%)
Total Closed Trades: 93
Percent Profitable: 68.82% (64 / 93)
Profit Factor: 5.019
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (default 36), the five AO deviations and sizes, and the Take Profit (default 4.5%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 4.41%. The 134-trade sample is above the ~100-trade floor for statistical relevance, though optimized parameters still carry in-sample bias — re-validate on fresh data.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 36 — optimizer-tuned).
Take Profit (%): Distance above average entry where the full position closes (default 4.5%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
SOL RSI DCA Strategy [3Commas & QuantPilot]SOL RSI DCA Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for SOL / USDT that opens a position only in oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below the entry threshold; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 33 (oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (4%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 What changed — two parameters, tuned with QuantPilot:
This strategy started from a baseline configuration (RSI entry below 28, 3% take-profit). Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, two parameters were swept and re-selected: the RSI entry threshold moved from 28 to 33, and the take-profit moved from 3% to 4%. Everything else was left untouched — same five-order ladder, same deviations, same 1.8× sizing, same fees.
- Baseline (RSI < 28, TP 3%): Net +5,178.77 USDT (+5.18%), Max Drawdown 5.53%, 77 closed trades, 67.53% profitable, Profit Factor 4.582.
- Optimized (RSI < 33, TP 4%): Net +10,399.80 USDT (+10.40%), Max Drawdown 5.32%, , , .
The result: net profit roughly 2× higher (+5.18% → +10.40%), while maximum drawdown actually eased slightly (5.53% → 5.32%). The looser RSI entry (33) lets the strategy engage the dip earlier and more often, while the wider 4% target lets each recovery run a little further before the position is banked. The published defaults use the optimized values; the baseline metrics are shown here purely so the effect of the two parameter changes is transparent.
🔷 Who is it for:
- Swing traders accumulating SOL on RSI pullbacks rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 33 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 4% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Parameters: The RSI threshold (33) and take-profit (4%) are not arbitrary — they are the values the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The RSI threshold and take-profit were selected by sweeping those parameters over the same historical window shown in the results. Values that were best in-sample are not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume — Below the Statistical Floor: The baseline produced 77 closed trades over ~30 months; the optimized configuration is in the same range. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and profit factor as indicative rather than conclusive.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If SOL trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:SOLUSDT.P (Perpetual) — strategy is portable to any SOL / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 33 (optimizer-tuned from 28).
Take Profit: 4% above average entry (optimizer-tuned from 3%).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — RSI < 33, TP 4%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +10,399.80 USDT (+10.40%)
Max Equity Drawdown: 5,751.73 USDT (5.32%)
Total Closed Trades:
Percent Profitable:
Profit Factor:
🔷 STRATEGY RESULTS (Baseline — RSI < 28, TP 3%, for comparison)
Net Profit: +5,178.77 USDT (+5.18%)
Max Equity Drawdown: 5,748.16 USDT (5.53%)
Total Closed Trades: 77
Percent Profitable: 67.53% (52 / 77)
Profit Factor: 4.582
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (default 33), the five AO deviations and sizes, and the Take Profit (default 4%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 5.32%. Keep in mind the trade sample is below the ~100-trade floor for statistical confidence, and the profit factor reflects that small, optimized sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 33 — optimizer-tuned).
Take Profit (%): Distance above average entry where the full position closes (default 4%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
BTC DCA Strategy [3Commas & QuantPilot]BTC Smart DCA Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for BTC / USDT that opens a position only in oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below the entry threshold; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 38 (oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (5.5%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 What changed — two parameters, tuned with QuantPilot:
This strategy started from a baseline configuration (RSI entry below 28, 3% take-profit). Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, two parameters were swept and re-selected: the RSI entry threshold moved from 28 to 38, and the take-profit moved from 3% to 5.5%. Everything else was left untouched — same five-order ladder, same deviations, same 1.8× sizing, same fees.
- Baseline (RSI < 28, TP 3%): Net +3,078.29 USDT (+3.08%), Max Drawdown 3.79%, 62 closed trades, 70.97% profitable, Profit Factor 4.028.
- Optimized (RSI < 38, TP 5.5%): Net +9,250.25 USDT (+9.25%), Max Drawdown 3.67%, 93 closed trades, 76.34% profitable, Profit Factor 10.454.
The result: net profit roughly 3× higher (+3.08% → +9.25%), profit factor up from 4.0 to 10.5, win rate up from 71% to 76% — all while maximum drawdown stayed essentially flat (3.79% → 3.67%). The looser RSI entry (38) lets the strategy engage the dip earlier and more often, while the wider 5.5% target lets each recovery run further before the position is banked. The published defaults use the optimized values; the baseline metrics are shown here purely so the effect of the two parameter changes is transparent.
🔷 Who is it for:
- Swing traders accumulating BTC on RSI pullbacks rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 38 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 5.5% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Parameters: The RSI threshold (38) and take-profit (5.5%) are not arbitrary — they are the values the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The RSI threshold and take-profit were selected by sweeping those parameters over the same historical window shown in the results. Values that were best in-sample are not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume — Near the Statistical Floor: The optimized configuration produced 93 closed trades over ~30 months (62 on the baseline). This is approaching but still below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the high profit factor as indicative rather than conclusive.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If BTC trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:BTCUSDT.P (Perpetual) — strategy is portable to any BTC / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 17, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 38 (optimizer-tuned from 28).
Take Profit: 5.5% above average entry (optimizer-tuned from 3%).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — RSI < 38, TP 5.5%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +9,250.25 USDT (+9.25%)
Max Equity Drawdown: 3,980.36 USDT (3.67%)
Total Closed Trades: 93
Percent Profitable: 76.34% (71 / 93)
Profit Factor: 10.454
🔷 STRATEGY RESULTS (Baseline — RSI < 28, TP 3%, for comparison)
Net Profit: +3,078.29 USDT (+3.08%)
Max Equity Drawdown: 3,852.12 USDT (3.79%)
Total Closed Trades: 62
Percent Profitable: 70.97% (44 / 62)
Profit Factor: 4.028
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (default 38), the five AO deviations and sizes, and the Take Profit (default 6%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 3.67%. Keep in mind the 93-trade sample is just below the ~100-trade floor for statistical confidence, and the high profit factor reflects that small, optimized sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 38 — optimizer-tuned).
Take Profit (%): Distance above average entry where the full position closes (default 5.5%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
INJ DCA Long Strategy [3Commas & QuantPilot]INJ DCA Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for INJ / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (9%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 The one change that mattered — Take Profit tuning:
This strategy started from a baseline configuration with a 3% fixed take-profit. Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, the take-profit parameter was swept and the best-performing value landed at 9%. Nothing else was touched — same RSI entry, same five-order ladder, same deviations, same 1.8× sizing, same fees. Only the Take Profit input changed from 3% to 9%.
- Baseline (Take Profit 3%): Net +6,888.76 USDT (+6.89%), Max Drawdown 4.39%, 84 closed trades, 71.43% profitable, Profit Factor 4.925.
- Optimized (Take Profit 9%): Net +15,830.72 USDT (+15.83%), Max Drawdown 5.65%, 90 closed trades, 82.22% profitable, Profit Factor 17.886.
Widening the target lets each recovery run further before the position is banked, capturing the fuller mean-reversion bounce instead of exiting on the first small pop. The trade-off is a modestly higher drawdown (4.39% → 5.65%) and longer average hold time. The published defaults use the optimized 9% value; the baseline metrics are shown here purely so the effect of the single parameter change is transparent.
🔷 Who is it for:
- Swing traders accumulating INJ on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 9% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Exit: The 9% take-profit is not an arbitrary round number — it is the value the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The 9% take-profit was selected by sweeping the parameter over the same historical window shown in the results. A value that was best in-sample is not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume — Below the Statistical Floor: The optimized configuration produced 90 closed trades over ~30 months (84 on the baseline). Both are below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the high profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If INJ trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. A wider 9% target also means positions are held longer, so the grid can sit loaded through deeper dips before the exit is reached.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:INJUSDT.P (Perpetual) — strategy is portable to any INJ / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 16, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 9% above average entry (optimizer-tuned from a 3% baseline).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — Take Profit 9%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +15,830.72 USDT (+15.83%)
Max Equity Drawdown: 6,426.47 USDT (5.65%)
Total Closed Trades: 90
Percent Profitable: 82.22% (74 / 90)
Profit Factor: 17.886
🔷 STRATEGY RESULTS (Baseline — Take Profit 3%, for comparison)
Net Profit: +6,888.76 USDT (+6.89%)
Max Equity Drawdown: 4,429.13 USDT (4.39%)
Total Closed Trades: 84
Percent Profitable: 71.43% (60 / 84)
Profit Factor: 4.925
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the Take Profit (default 9%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 5.65%. Keep in mind the 90-trade sample is below the ~100-trade floor for statistical confidence, and the high profit factor reflects that small, optimized sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes (default 9%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
SOL RSI Strategy [3Commas]SOL RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for SOL / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating SOL on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 77 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If SOL trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 5.53% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within SOL's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:SOLUSDT.P (Perpetual) — strategy is portable to any SOL / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 13, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +5,178.77 USDT (+5.18%)
Max Equity Drawdown: 5,748.16 USDT (5.53%)
Total Closed Trades: 77
Percent Profitable: 67.53% (52 / 77)
Profit Factor: 4.582
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 5.53%. Keep in mind the 77-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
GRAM RSI Strategy [3Commas]GRAM RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for GRAM / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
Single entry filter: 4h RSI(14) below 28 (deep oversold).
Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
Fixed take-profit on the blended average entry; no trailing, no stop loss.
Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
Swing traders accumulating GRAM on deep RSI flushes rather than chasing momentum.
Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 78 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If GRAM trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 2.21% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within GRAM's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: GRAM / USDT — strategy is portable to any GRAM / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 3, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,822.76 USDT (+3.82%)
Max Equity Drawdown: 2,283.04 USDT (2.21%)
Total Closed Trades: 78
Percent Profitable: 69.23% (54 / 78)
Profit Factor: 4.791
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 2.21%. Keep in mind the 78-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
[ A L P H A X ] RESONANCE - Triple-RSI StackAlphaX RESONANCE — RSI Harmonic Engine: Triple-RSI Stack, Adaptive Exhaustion Zones, RSI Coil Release, Pivot Divergence Reversals & Five-Phase Market Classification
AlphaX RESONANCE is a professional-grade momentum and mean-reversion system built on a fundamentally different RSI architecture from any conventional oscillator overlay. Where standard RSI indicators use a single period and static overbought/oversold levels, RESONANCE runs three RSI instances simultaneously — a fast Pulse RSI, a medium Core RSI, and a slow Anchor RSI — each measuring a different temporal dimension of momentum, and combines them into a unified harmonic stack that classifies the current market phase, scores directional conviction, detects RSI bandwidth compression (the RSI equivalent of a volatility coil), and fires precision entry signals across four distinct setup types. The adaptive exhaustion zones replace fixed 70/30 thresholds with percentile-ranked dynamic levels calibrated to the current instrument's own RSI distribution — so the system's definition of "overbought" evolves with actual market behavior rather than staying fixed at an arbitrary number. The result is a system that reads momentum the way it actually behaves — in layers, in phases, and in cycles — rather than as a single oscillating line. Designed for traders across crypto, forex, gold, and indices on any timeframe.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎵 The Harmonic Philosophy — Three RSI Periods, One Unified Picture
The core problem with a single-period RSI is temporal ambiguity. A 14-period RSI reading of 65 could mean the market is in a healthy trend with room to run, or a short-term overbought stretch about to snap back — the same number carries completely different meanings depending on whether the underlying trend is strong or weak. A fast RSI alone is noisy and prone to false signals. A slow RSI alone is too lagged to be actionable for entries.
RESONANCE solves this by running all three simultaneously and treating their relationship as the signal — not any single RSI value in isolation.
The three RSI layers:
Pulse RSI (default: 7 periods) — the fastest layer. Reacts immediately to price movements. Used for timing — detecting the exact bar of a snapback exit from an exhaustion zone, the crossing of the harmonic midline, and the moment a coil releases. The Pulse RSI is the trigger layer
Core RSI (default: 14 periods) — the standard intermediate layer. Used for divergence detection, slope measurement, and bandwidth compression. The Core RSI is the evidence layer — it confirms that the Pulse RSI signal has structural backing from a wider momentum view
Anchor RSI (default: 28 periods) — the slowest, most stable layer. Used for market phase classification. When the Anchor RSI is above 58 and rising, the market is in MARKUP. Below 42 and falling, MARKDOWN. The Anchor RSI is the context layer — it tells you the macro momentum environment within which all other signals must be interpreted
The harmonic stack:
RESONANCE defines a true harmonic alignment when all three RSI layers are stacked on the same side of the midline with aligned slopes — Pulse above 50, Core above 48, Anchor above 46 (with tolerance buffers to avoid false collapses on minor retracements). When all three are stacked and sloping in the same direction, the market has broad-based momentum conviction across fast, medium, and slow timeframes simultaneously. This triple-stack condition is the backbone of the HARMONIC BREAK setup and is the highest-weight component in the Resonance Score.
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📊 Five-Phase Market Classification — The Harmonic Dashboard
Using the Anchor RSI as the primary reference and the Core RSI slope as a secondary differentiator, RESONANCE classifies the market into one of five phases on every bar. The current phase is displayed prominently on the dashboard as the HARMONIC row and determines which setup types are most appropriate to trade.
MARKUP:
Anchor RSI at or above 58 with a positive slope — the slow momentum layer confirms a sustained upward bias. The macro momentum environment is bullish. This is the primary background condition for HARMONIC BREAK long setups and SNAPBACK long entries that occur as the Pulse RSI dips to the adaptive oversold zone and recovers.
MARKDOWN:
Anchor RSI at or below 42 with a negative slope — macro momentum is bearish. Primary background for HARMONIC BREAK shorts and SNAPBACK short entries.
DISTRIB (Distribution):
Anchor RSI is above 52 (mildly bullish macro) but Core RSI is below the Anchor and its slope is negative — the intermediate momentum layer is diverging downward against the still-elevated Anchor. This is the distribution phase: the long-term bias has not yet shifted, but the medium-term momentum is beginning to roll over. A warning sign for bulls and an early-watch condition for bear setups.
ACCUM (Accumulation):
Anchor RSI is below 48 but Core RSI is above the Anchor and its slope is positive — intermediate momentum is recovering against a still-depressed Anchor. This is the accumulation phase: the macro bias has not yet turned bullish but buying pressure is building. An early-watch condition for bull setups.
COIL:
The RSI bandwidth (highest Core RSI minus lowest Core RSI over the coil lookback) has compressed below the average bandwidth by the configured multiplier. The market is in a momentum squeeze — all three RSI layers are converging toward neutral and the directional energy is compressing. This phase precedes the COIL RELEASE setup and is displayed with a purple tint to distinguish it from the directional phases.
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📐 Adaptive Exhaustion Zones — Dynamic Overbought/Oversold
The standard RSI uses fixed overbought (70) and oversold (30) levels. These thresholds are problematic because every instrument has a different RSI distribution — a strongly trending equity might spend months above 70 and rarely touch 30, while a mean-reverting commodity might hit 70 and snap back immediately. Fixed levels produce the wrong trigger points for most instruments most of the time.
RESONANCE replaces fixed thresholds with adaptive exhaustion zones computed from the Core RSI's own historical percentile distribution:
Dynamic Overbought (dynOb):
The 82nd percentile of Core RSI readings over the adaptive zone lookback period (default: 100 bars). This means the overbought threshold is set at the level that Core RSI has exceeded only 18% of the time historically. When the Pulse RSI crosses above this level and then crosses back below it, the system detects a genuine exhaustion exit — not just a touch of an arbitrary 70 threshold, but an exit from a genuinely extreme reading for this specific instrument at this specific time.
Dynamic Oversold (dynOs):
The 18th percentile of Core RSI readings — the level that Core RSI has been below only 18% of the time. The oversold exit is a Pulse RSI crossover back above this level.
Self-calibrating behavior: During strongly trending markets, the adaptive thresholds shift upward (dynOb moves above 70, dynOs moves above 30) reflecting the fact that RSI stays elevated in trends. During ranging markets, the thresholds move toward 70/30 or tighter. The system always uses the statistically appropriate threshold for the current regime, automatically.
Dashboard display: The current dynamic oversold/overbought pair is displayed live on the dashboard as the ZONES row — e.g., "22 / 78" — updating continuously as new bars accumulate.
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⚡ RSI Coil Engine — Momentum Compression Detection
The RSI Coil Engine translates the volatility compression concept — so central to CATALYST, VECTOR, and PRISM — into the RSI domain. Instead of measuring price volatility compression, it measures RSI bandwidth compression: how much the Core RSI is oscillating relative to its recent average oscillation.
Coil detection:
On every bar, the system computes:
`RSI Bandwidth = Highest Core RSI over coilLen − Lowest Core RSI over coilLen`
This is then compared to the average bandwidth over the same period. When current bandwidth falls below `average × coilMult` (default: 0.72), the Core RSI is oscillating in a significantly tighter range than usual — all three RSI layers are converging. The inCoil boolean activates, the phase displays as COIL, and the dashboard COIL BW row shows "COMPRESSED."
Coil release detection:
A coil release is the transition from compressed (inCoil was true on the prior bar) to decompressed (inCoil is false on the current bar), accompanied by a Pulse RSI move of at least the configured minimum (default: 2.5 RSI points) in a single bar. This rapid Pulse RSI expansion is the momentum equivalent of a volatility breakout — the RSI bandwidth spring is releasing directional energy.
What the RSI coil captures: When all three RSI layers converge toward neutral with declining bandwidth, institutional participants are in a standoff — neither buyers nor sellers are winning the momentum battle. The coil release is the moment that standoff resolves, and the direction of the Pulse RSI's first large move after the release is the signal of who won. The COIL RELEASE setup capitalizes on this first-mover momentum advantage.
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🏷 Four Setup Types — The Resonance Playbook
RESONANCE fires signals through four distinct setup types, each exploiting a different momentum pattern detected by the triple-RSI harmonic system. All four can be enabled simultaneously and the highest-priority qualifying setup is selected for each signal bar.
Setup priority order (when multiple qualify simultaneously):
COIL RELEASE → DIVERGENCE REVERSAL → HARMONIC BREAK → SNAPBACK
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Setup A — SNAPBACK (Adaptive OB/OS Exit)
The mean-reversion setup. Fires when the Pulse RSI exits the adaptive exhaustion zone with Core RSI confirmation.
Long conditions:
Pulse RSI crosses above the dynamic oversold level (dynOs) — exiting the adaptive oversold zone
Core RSI is rising on the current bar (rsiCore > rsiCore ) — intermediate momentum is recovering
Anchor RSI is within 8 points of the midline on the bullish side (anchor > midLine − 8) — the macro context is not severely bearish
A bullish rejection candle is present (close above open, close above prior close)
Why SNAPBACK is the timing-precision setup: The combination of the adaptive oversold exit (not fixed 30) and Core RSI confirmation means the signal only fires when the oversold reading is genuine by historical standards AND the intermediate momentum has already begun recovering. The Anchor RSI tolerance prevents SNAPBACK longs from firing in deeply bearish macro environments where mean-reversion is likely to fail.
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Setup B — HARMONIC BREAK (50-Line Cascade)
The momentum-continuation setup. Fires when the Pulse RSI crosses the harmonic midline (default: 50) with all three RSI layers stacked in the same direction.
Long conditions:
Pulse RSI crosses above the harmonic midline from below
stackBull is true — all three RSIs are above their respective midline thresholds (Pulse > 50, Core > 48, Anchor > 46)
slopeBull is true — all three RSI slopes over 3 bars are positive (Pulse slope > 0, Core slope > 0, Anchor slope ≥ 0)
Why the triple-stack midline cross is significant: A single RSI crossing 50 is noise. When the Pulse RSI crosses 50 simultaneously with Core RSI already above 48 and Anchor RSI above 46 — all three slopes positive — it means the fast, intermediate, and slow momentum layers are all accelerating upward at the same moment. This is genuine broad-based momentum conviction, not a temporary oscillation. The cascade quality reflects institutional commitment across multiple momentum timeframes.
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Setup C — DIVERGENCE REVERSAL (Pivot-Based)
The reversal setup using Core RSI pivot divergence. Fires when price makes a new extreme but Core RSI does not confirm it, within the adaptive exhaustion zone context.
Long divergence conditions:
A confirmed price pivot low is below the prior confirmed pivot low — price is making a lower low
The Core RSI at the same pivot low bar is above the Core RSI at the prior pivot low — momentum is making a higher low despite price's lower low
Core RSI at the divergence low is within 8 points of the dynamic oversold level — the divergence is occurring in a genuinely oversold context, not at neutral RSI
A bullish rejection candle confirms on or after the divergence bar
Pulse RSI is rising on the current bar
Current close is above the divergence low — price has recovered off the pivot
Divergence recency window:
Divergence is tracked with a live validity window — the divergence remains active for a configurable number of bars (default: divLen × 2). If no confirming rejection candle appears within this window, the divergence expires. This prevents acting on stale divergence signals that occurred many bars ago.
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Setup D — COIL RELEASE (RSI Bandwidth Explosion)
The momentum breakout setup fired by RSI bandwidth decompression. The highest-priority setup in the selection hierarchy.
Long conditions:
coilRelease is true — the Core RSI was compressed on the prior bar and the bandwidth expanded this bar with a minimum Pulse RSI move
Pulse RSI is above the dynamic oversold level — the release is occurring on the bullish side of the exhaustion zone
slopeBull is true — all three RSI slopes are positive, confirming the release is directionally bullish
A bullish candle is present (close above open)
Why COIL RELEASE is the highest-priority setup: RSI bandwidth compression is the most reliable pre-breakout indicator within the RSI framework. When all three RSI layers have converged to the same neutral zone and then the bandwidth suddenly expands with a directional Pulse RSI move, the momentum suppression has lifted and the underlying institutional order flow has revealed its direction. This is the RSI equivalent of CATALYST's squeeze release — and like the squeeze release, the first bar of the release carries the highest momentum intensity of the entire move.
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🧠 The Resonance Score — 10-Point Conviction Rating
Every bar, regardless of whether a signal fires, RESONANCE computes a directional conviction score from 0 to 10. This score is displayed live on the dashboard, shown on signal labels when Show Setup Tag is enabled, and used as the minimum gate for all signals — setups below the minimum score threshold (default: 5) are blocked regardless of their setup type conditions.
Score components:
RSI Stack Alignment (up to 2 points):
Full triple-stack (stackBull or stackBear — all three RSIs stacked) scores 2 points. Partial alignment (Pulse and Core both above midline but Anchor lagging) scores 1 point. No alignment scores 0. This is the highest-weight component — genuine triple-stack alignment is rare and carries the most institutional significance.
RSI Slope Agreement (up to 2 points):
All three RSI slopes positive (slopeBull) or all negative (slopeBear) scores 2 points. Pulse and Core slopes aligned (but Anchor flat or lagging) scores 1 point. No slope agreement scores 0. Momentum acceleration across multiple timeframes — not just direction but rate of change — is the key measure of this component.
RSI Hierarchy Alignment (1 point):
For bull: Pulse RSI above Core RSI and Core RSI approximately above Anchor RSI (within 3 points). For bear: Pulse below Core and Core below Anchor within tolerance. This checks that the RSI layers are in the correct relative order — the faster layer leading the slower, which is the natural configuration during genuine trending momentum.
HTF Bias (up to 2 points):
Higher timeframe EMA aligned with the signal direction scores 2 points. When HTF is disabled in settings, 1 neutral point is always awarded. When HTF is enabled and opposes the signal, 0 points.
Volume Expansion (1 point):
Current bar volume meets or exceeds the configured volume threshold.
Non-Chop Market (1 point):
Choppiness Index is below the configured threshold. Also enforced as a hard gate.
EMA Filter (1 point, optional):
Price is on the correct side of the configurable EMA. Off by default.
Grade thresholds:
A (8–10) — elite resonance. Triple-stack, slope agreement, HTF aligned, volume confirmed. The highest-conviction signal the system produces
B (6–7) — strong resonance. Most components confirmed
C (minimum to 5) — acceptable resonance. Passes the gate with partial confirmation
Signal accent colors: Grade A signals render in the brightest yellow-green (bull) or red (bear). Grade B in slightly dimmer versions. Grade C in transparent-tinted versions. The signal triangle's color communicates quality at a glance without reading the dashboard.
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🎨 Candle Tinting and Phase Background
RESONANCE includes two optional chart coloring systems that provide continuous visual context even between signals.
Candle Tinting (showBarTint):
When enabled (default: on), candles are tinted yellow-green at 78% transparency during stackBull conditions and red at 78% transparency during stackBear conditions. During neutral periods (no full stack), candles retain their default color. This creates a continuous visual momentum ribbon directly on the price chart — you can see at a glance how long a triple-stack condition has been sustained, when it begins, and when it collapses.
Phase Background (showPhaseBg):
When enabled (default: off), a very subtle full-bar background color reflects the current harmonic phase — purple for COIL, faint yellow-green for MARKUP/ACCUM, faint red for MARKDOWN/DISTRIB. Off by default to preserve chart cleanliness, but valuable when studying phase transitions.
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📊 Live Dashboard
The 14-row real-time dashboard displays the complete state of the harmonic RSI engine.
PHASE
HARMONIC — current market phase: MARKUP, MARKDOWN, ACCUM, DISTRIB, COIL, or NEUTRAL. Color-coded — purple for COIL, yellow-green for bullish phases, red for bearish phases
SETUP — the current or most recent setup with grade: e.g., "COIL REL ", "SNAPBACK ", "DIV REV ", or "ARM LONG " when approaching a trigger. ARM LONG / ARM SHORT appear when a setup condition is developing but the full signal has not yet fired
RSI STACK
PULSE — the live 7-period RSI value, color-coded yellow-green above the midline and red below
CORE — the live 14-period RSI value with the same color coding
ANCHOR — the live 28-period RSI value — the macro momentum reference
ZONES — the current dynamic oversold / overbought pair (e.g., "22 / 78"), displayed in orange. These are the adaptive exhaustion thresholds that the SNAPBACK setup watches
QUALITY
RESONANCE — the live directional conviction score out of 10. Yellow-green when at or above the minimum threshold, neutral otherwise
HTF BIAS — ▲ BULL, ▼ BEAR, or — FLAT from the higher timeframe EMA structure
CHOP — live Choppiness Index value. Orange when above the stand-aside threshold (the hard gate condition)
COIL BW — the current RSI bandwidth state: "COMPRESSED · xx.x" (purple) when in coil, "OPEN · xx.x" otherwise. When an active trade plan exists, the current TP1 level is appended to this row for quick reference
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📈 Chart Visual System
▲ Triangle (below bar) — bull entry signal. Size and color reflect the Resonance Grade — brightest yellow-green for Grade A, dimmer for B, transparent-tinted for C. COIL RELEASE and DIVERGENCE signals render in purple and orange accents respectively to distinguish them visually from SNAPBACK and HARMONIC signals
▼ Triangle (above bar) — bear entry signal with matching grade-based coloring
Setup Tag Label (optional) — when Show Setup Tag is enabled, a small label appears below (bull) or above (bear) the signal showing the setup abbreviation and grade (e.g., "COIL REL A"). Off by default for chart cleanliness
Candle Tinting — yellow-green at 78% transparency during stackBull, red during stackBear. Continuous momentum ribbon effect on the price chart
Phase Background (optional, off by default) — subtle full-bar tint for COIL (purple), MARKUP/ACCUM (faint yellow-green), MARKDOWN/DISTRIB (faint red)
Entry Line (dashed) — the entry close level, extending guideExtend bars forward when Show SL + TP1 + TP2 is enabled
SL Line (red dashed) — ATR-based stop loss level, extending forward
TP1 Line (lime dotted) — first take profit at 1.8× ATR from entry
TP2 Line (bright yellow-green dashed, width 2) — second take profit at 3.2× ATR from entry
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🚀 How to Trade with AlphaX RESONANCE — Step by Step
Step 1 — Read the Phase and Stack
Check the HARMONIC row on the dashboard. MARKUP or MARKDOWN with a confirmed triple-stack (candles tinted yellow-green or red) is the ideal background condition for HARMONIC BREAK and SNAPBACK entries
Check COIL BW — COMPRESSED means RSI bandwidth is in squeeze mode. Prepare for a COIL RELEASE signal on the upcoming bars
Check ZONES — how far is current price/RSI from the adaptive exhaustion levels? When the CORE RSI is approaching or inside the dynamic zone, a SNAPBACK is potentially developing
Check RESONANCE score. If it is already at or above the minimum before a signal fires, the conditions are favorable. Watch for the triggering setup condition to develop
Step 2 — Identify the Setup Developing
SETUP shows ARM LONG or ARM SHORT when a setup condition is partially met but the full signal has not fired. This is your preparation window — note the entry price, calculate SL and TP positions
COIL BW showing COMPRESSED → watch for the next bar's release. If SETUP shows ARM LONG during a coil, a COIL RELEASE long may fire on the next expansion bar
HARMONIC row switching from ACCUM to MARKUP → the Anchor RSI has crossed 58 and is rising. HARMONIC BREAK long conditions may soon be met as the Pulse RSI approaches the midline from below
Step 3 — Enter on the Triangle Signal
A triangle signal with Grade A coloring (brightest yellow-green or red) is the highest-conviction entry. Enter on the close of the signal bar or the next bar's open
Check which setup fired on the dashboard SETUP row. COIL REL is the premium setup. DIV REV is a high-quality reversal. HARMONIC is a premium continuation. SNAPBACK at minimum score warrants reduced size
Enable Show SL + TP1 + TP2 to see the ATR-based guide levels projected forward from the signal bar
Step 4 — Manage with RSI Context
During a long trade, monitor the PULSE RSI value. When it approaches the dynamic overbought zone (dynOb), partial profit at TP1 becomes prudent — momentum may be approaching exhaustion
If the phase transitions from MARKUP to DISTRIB during an open long trade (Anchor RSI still high but Core RSI rolling over), tighten the stop
If the candle tint disappears (triple-stack collapses), the momentum conviction has weakened — move stop to breakeven or take profit
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⚠ Identifying Low-Quality Conditions — When Not to Trade
Stand aside when:
CHOP is orange on the dashboard — the hard gate is active. Extreme chop blocks all signals. RSI oscillates rapidly in choppy conditions and the triple-stack alignments are transient rather than structural
Phase shows NEUTRAL — none of the five phase conditions have been met. The Anchor RSI is in the middle zone (48–52) without a clear slope. Momentum conviction is absent at the macro level
RESONANCE score is exactly at minimum (5/10) — marginal confluence. In neutral or transitional market conditions, minimum-score signals fail at a significantly higher rate. Require 6+ before committing full size
COIL BW is COMPRESSED but no directional RSI slope is present — a coil without slope agreement means RSI has converged but without directional bias. The COIL RELEASE signal requires slopeBull or slopeBear to fire, but if the slopes are flat during the coil, the release direction is unpredictable — wait for a slope to develop before sizing up
HTF Bias opposes the stack direction — a bull triple-stack against a bearish HTF is a counter-trend momentum entry. These work but carry higher reversal risk. Reduce position size or require a Grade A score
SETUP shows ARM LONG but Anchor RSI is in severely bearish territory (below 35) — approaching a SNAPBACK long trigger against a deeply bearish Anchor is a mean-reversion trade against significant macro momentum. The Anchor RSI tolerance condition blocks the signal below midLine − 8, but values near that boundary are still high-risk
The ideal RESONANCE setup:
Phase MARKUP (bull) or MARKDOWN (bear) sustained for 5+ bars
Full triple-stack with positive slopes on all three RSIs
COIL BW just releasing from COMPRESSED state (COIL RELEASE setup) OR Pulse RSI crossing the midline with stack and slope confirmed (HARMONIC BREAK)
HTF aligned with stack direction
Volume above average on the signal bar
RESONANCE score at 8–10 (Grade A)
Chop Index well below threshold
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⚡ Key Features
🎵 Triple-RSI harmonic stack — Pulse (7), Core (14), and Anchor (28) RSIs operating simultaneously, each measuring a different temporal dimension of momentum
📐 Adaptive exhaustion zones — dynamic overbought and oversold thresholds computed from the Core RSI's own percentile distribution over the configurable lookback, replacing fixed 70/30 levels with statistically calibrated thresholds
⚡ RSI Coil Engine — bandwidth compression detection triggering when Core RSI oscillation falls below average × multiplier, with directional coil release detection on bandwidth expansion
📊 Five-phase market classification — MARKUP, MARKDOWN, ACCUM, DISTRIB, COIL — derived from the Anchor RSI level and slope, providing macro momentum context for every signal
🏷 Four setup types — SNAPBACK (adaptive OB/OS exit), HARMONIC BREAK (triple-stack midline cascade), DIVERGENCE REVERSAL (pivot-based Core RSI divergence), COIL RELEASE (RSI bandwidth explosion)
🧠 10-point Resonance Score — RSI Stack (2pts), Slope Agreement (2pts), Hierarchy Alignment (1pt), HTF Bias (2pts), Volume (1pt), Non-Chop (1pt), EMA Filter (1pt, optional)
🎨 Grade-coded signal colors — Grade A in full brightness, B in standard, C in transparent-tinted. COIL signals in purple, DIV signals in orange accent — visual quality differentiation on every triangle
🌈 Candle tinting — bars colored yellow-green during stackBull and red during stackBear, creating a continuous momentum ribbon on the price chart
🔮 ARM LONG / ARM SHORT awareness — dashboard SETUP row shows developing (partially-triggered) conditions before the full signal fires, providing advance preparation
📡 Pivot-based RSI divergence — structural pivot comparisons with live validity window, more robust than slope-based divergence detection
📊 14-row live dashboard — Phase, Setup with grade, all three RSI values, adaptive zones, Resonance Score, HTF Bias, Chop, and Coil bandwidth updated on every bar
🔔 2 alert conditions — RESONANCE Bullish Setup and RESONANCE Bearish Setup
⚙ Fully configurable — all three RSI periods, zone lookback and percentiles, harmonic midline, coil compression multiplier, coil release minimum, all four setup enables, divergence pivot length, cooldown, Resonance minimum, HTF timeframe and EMAs, volume filter, chop gate, optional EMA filter, SL/TP ATR multiples, guide extension, phase background, candle tinting, setup tags, dashboard size and position, and all colors are independently adjustable
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⚙ Settings Reference
RSI Harmonic Stack
Pulse RSI Length — the fastest RSI layer for snapback timing and coil release triggering (default: 7)
Core RSI Length — the intermediate layer for divergence detection and bandwidth measurement (default: 14)
Anchor RSI Length — the slowest layer for phase classification and macro context (default: 28)
Adaptive Zone Lookback — bars used to compute the Core RSI percentile distribution for the dynamic exhaustion zones (default: 100)
Exhaustion Percentile High — percentile level defining the dynamic overbought threshold (default: 82)
Exhaustion Percentile Low — percentile level defining the dynamic oversold threshold (default: 18)
Harmonic Midline — the RSI equilibrium level used as the HARMONIC BREAK trigger and phase divider (default: 50)
RSI Coil Engine
Coil Lookback — bars used to compute RSI bandwidth and its average (default: 20)
Coil Compression Mult — bandwidth must fall below average × this multiplier to activate the compressed state (default: 0.72)
Coil Release Min RSI Move — minimum single-bar Pulse RSI movement required to register a release (default: 2.5 RSI points)
Live Setups
Snapback (adaptive OB/OS exit) — toggle the adaptive exhaustion zone exit setup
Harmonic Break (50-line cascade) — toggle the triple-stack midline crossover setup
Divergence Reversal — toggle the pivot-based Core RSI divergence setup
Coil Release — toggle the RSI bandwidth decompression setup
Divergence Pivot Length — bars each side for RSI and price pivot confirmation (default: 5)
Signal Cooldown (bars) — minimum bars between consecutive signals (default: 6)
Resonance Gate
Min Resonance Score (of 10) — minimum score to fire any signal (default: 5)
Hard HTF Alignment — when on, counter-HTF signals are fully blocked
HTF Trend Bias / HTF Timeframe / HTF Fast / HTF Slow EMA — higher timeframe parameters (defaults: on / 60-minute / 21 / 55)
Volume Confirm / Volume vs Avg / Volume Avg — volume expansion layer parameters (defaults: on / 1.1× / 20 bars)
Block Extreme Chop / Choppiness Length / Chop Block Above — chop gate parameters (defaults: on / 14 / 62.0)
EMA Price Filter / EMA Length — optional price EMA directional filter (default: off / 21)
Entry / Exit Guides
Show SL + TP1 + TP2 — toggle the guide line system (default: off)
ATR Length — ATR calculation lookback (default: 14)
SL (xATR) — stop loss distance from entry in ATR multiples (default: 1.2)
TP1 (xATR) — first take profit distance (default: 1.8)
TP2 (xATR) — second take profit distance (default: 3.2)
Guide Extend (bars) — how many bars forward guide lines project (default: 30)
Display
Show Entry Markers — toggle signal triangle shapes
Subtle Phase Background — toggle the harmonic phase background tinting (default: off)
Phase Background Opacity — background transparency when enabled (default: 96)
Tint Candles by Bias — toggle yellow-green/red candle tinting during triple-stack conditions (default: on)
Show Setup Tag (A/B/C) — toggle setup name and grade label on signal bars (default: off)
Show Dashboard — toggle the full dashboard
Dashboard Text Size — Standard / Small
Dashboard Position — Top Left / Top Right / Bottom Left / Bottom Right
Colors
Bull / Resonance Up — yellow-green for bullish signals, tinting, and stack indicators
Bull Signal — bright yellow-green for Grade A bull signal triangles
Bear / Resonance Down — red for bearish signals and stack indicators
Bear Signal — bright red for Grade A bear signals
Coil / Harmonic Accent — purple for COIL phase, RSI coil markers, and COIL RELEASE signals
Snapback Accent — orange for SNAPBACK signals, divergence accents, and ZONES dashboard row
Stop Line / TP1 Line / TP2 Line — individual guide line colors
Neutral — gray for neutral states and inactive dashboard rows
Dash Text / Dash BG / Dash Header / Dash Section / Dash Frame — full dashboard color control
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🔔 Alert Conditions (2 total)
RESONANCE Bullish Setup — all long conditions confirmed. Pulse RSI trigger, Resonance Score above minimum, chop gate clear, HTF alignment met
RESONANCE Bearish Setup — all short conditions confirmed
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🎯 Recommended Settings by Instrument & Timeframe
The default configuration is optimized for XAUUSD, major forex pairs, and crypto on M5–H1 :
Triple RSI at 7/14/28 — the 2× doubling ratio creates clean harmonic separation between the three layers. Each layer is exactly twice as slow as the prior one, producing independent but harmonically related readings
Adaptive zone lookback at 100 bars — approximately 8 hours on M5, sufficient to calibrate the percentile distribution to current intraday volatility conditions
Coil multiplier at 0.72 — requires RSI bandwidth to fall below 72% of its average to declare compression. Tight enough to catch genuine coils without excessive false compressions
Resonance minimum at 5 — balanced between frequency and quality. Raise to 6–7 for higher conviction filtering
For other instruments or timeframes, adjust:
M1–M3 scalping — reduce RSI periods to 5/9/18, reduce Adaptive Zone Lookback to 60, reduce Cooldown to 3, reduce Guide Extend to 15, reduce Coil Release Min to 1.5
H4–Daily swing trading — increase RSI periods to 9/21/42, increase Zone Lookback to 200, increase TP2 to 5.0× ATR, raise Min Resonance to 6
Crypto (BTC, ETH) — increase Adaptive Zone Percentile High to 85 and Low to 15 for the wider RSI distribution of crypto. Increase Coil Release Min to 3.0 for the larger single-bar RSI moves
Indices (NAS100, US30) — use EMA Price Filter with a 50-period EMA, increase Min Resonance to 6, restrict via session filter to cash market hours
More signals — lower Min Resonance to 4, reduce Cooldown to 3, enable all four setups, widen adaptive zone percentiles (75/25)
Ultra-selective only — raise Min Resonance to 7–8, enable Hard HTF Alignment, enable EMA Price Filter, require Grade A minimum (increase minResonance to 8), disable SNAPBACK
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👥 Who This Is For
📊 Momentum and RSI traders who want more than a single oscillator — RESONANCE is the definitive multi-period RSI implementation in the AlphaX suite. Three periods, five phases, four setups, and a 10-point scoring system replace the single-line RSI with a complete momentum intelligence framework
🎵 Traders who understand that momentum has layers — the 7/14/28 harmonic stack separates fast momentum (entry timing), intermediate momentum (structural backing), and slow momentum (macro context) into three distinct readings that must align before the highest-quality signals fire
📐 Traders who struggle with fixed RSI overbought/oversold levels — the adaptive exhaustion zones calibrate to the actual RSI distribution of the current instrument at the current time, producing thresholds that are statistically meaningful rather than arbitrary
⚡ Volatility coil traders who want the RSI-domain equivalent — the RSI Coil Engine applies the compression-and-release concept from CATALYST to the momentum domain, detecting RSI bandwidth squeezes that precede explosive directional moves
🔀 Mean-reversion and trend-following traders simultaneously — SNAPBACK entries are mean-reversion (adaptive OB/OS exits). HARMONIC BREAK entries are trend continuation (triple-stack midline). Both are available within the same system, automatically selected based on which fires first
🥇 Gold and forex intraday traders — the 7/14/28 RSI stack with adaptive zones is particularly effective on XAUUSD and major forex pairs where the RSI distribution shifts significantly between trending and ranging sessions
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📝 Notes
All signals are confirmed on bar close — the indicator is non-repainting by design. All RSI computations, stack alignments, divergence detections, and confluence scoring finalize on confirmed bars
The adaptive exhaustion zones require the full Adaptive Zone Lookback period to calibrate. On charts with fewer bars than the lookback setting, the dynamic thresholds may not reflect accurate percentile distributions. Allow at least the full lookback period (default: 100 bars) to accumulate before treating the SNAPBACK setup as fully calibrated
The RSI Coil Engine's bandwidth average also requires the Coil Lookback period to stabilize. On fresh chart loads, the COMPRESSED state may trigger briefly before the average has fully computed — this resolves naturally within the coil lookback period
The divergence validity window (divLen × 2 bars after detection) means divergence signals can fire up to 10 bars (default divLen 5 × 2) after the actual pivot low or high. The confirming candle requirement prevents stale divergences from generating signals without fresh price confirmation
The candle tinting applies the stackBull/stackBear condition which uses a ±2 to ±4 tolerance buffer around the midline for Core and Anchor RSIs. This prevents the tinting from flickering on and off as Core or Anchor RSIs oscillate near the midline. The tint represents sustained broad stack alignment, not momentary
Guide lines (SL, TP1, TP2) are only drawn on the last bar and are redrawn whenever a new signal fires. They reflect the most recent active trade plan
The indicator does not track open positions or P&L; and does not connect to any broker or account
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who understand that momentum is not a single number — it is a harmonic relationship between fast energy, intermediate conviction, and slow institutional commitment. Indicator
Divergence Indicator RSI, MACD,, Hidden Reversal Signals LunqFXDivergence Indicator is a multi-engine divergence scanner for PulseWire that reads RSI, MACD and OBV at every confirmed swing and only draws a divergence when the engines agree — so instead of the usual flood of weak one-oscillator signals, you get a few graded, high-conviction ones. Every divergence is rated by strength: ★★★ all three engines confirm (rare, strongest), ★★ two confirm, single-engine noise is filtered out by default. It detects regular divergences (price makes a new extreme, oscillators refuse — potential reversal) and hidden divergences (trend continuation), on any market — forex, crypto, stocks, indices, gold — and any timeframe. Built in Pine Script v6, fully non-repainting. Keywords: divergence indicator, RSI divergence, MACD divergence, OBV divergence, hidden divergence, regular divergence, reversal, momentum, exhaustion, multi oscillator scanner.
◆ WHY MULTI-ENGINE
Any single oscillator diverges constantly — that's why classic divergence tools feel random. Requiring independent confirmation from momentum (RSI), trend-momentum (MACD) and volume flow (OBV) removes most false positives: when all three refuse to follow price, the move is genuinely running out of fuel.
◆ WHAT IT DRAWS
Divergence lines on price — solid neon violet for bullish, neon amber for bearish; dashed for hidden divergences.
Star-graded labels — ★★ / ★★★ with tooltips explaining exactly what diverged.
Exhaustion candles — a unique display layer: candles glow at full neon while price and engines agree, and fade as engines stop confirming — you see a divergence brewing before it prints.
Status strip dashboard — a horizontal HUD along the bottom: last signal + strength, a live engine board (P / RSI / MACD / OBV direction arrows), a FUEL meter, and bull/bear counters.
◆ HOW IT WORKS
Swings are detected with confirmed pivots (N closed bars each side).
At each new confirmed pivot the scanner compares price and each engine against the previous pivot: price lower low + engine higher low = regular bull; price higher low + engine lower low = hidden bull (mirrored for highs).
The number of agreeing engines (1–3) becomes the star rating; signals below your minimum are skipped.
The live engine board and fuel meter track slope agreement in real time — display-only context that never alters signals.
◆ HOW TO USE IT
Treat ★★★ regular divergences as your primary reversal alerts — look for entries with your own structure/levels.
Use hidden divergences to join the trend on pullbacks.
Watch the FUEL meter: when it drains and candles fade, tighten stops on trend trades.
Raise Min strength to 3 for only the rarest, cleanest signals; lower pivot bars for faster (but noisier) detection.
◆ SETTINGS
Pivot left/right bars, max gap between swings, minimum strength, hidden divergences on/off, engine toggles (RSI/MACD/OBV), RSI length, exhaustion candles, label size, dashboard position/size.
◆ ALERTS
Bullish divergence · Bearish divergence (fire when a confirmed signal prints).
◆ LIMITATIONS
Signals confirm with a pivot delay (right bars) — that is the honest cost of zero repaint; lower it for speed, raise it for reliability.
On symbols without volume data the OBV engine adds no information — disable it there.
Divergence marks exhaustion, not timing — always combine with structure and risk management.
◆ ORIGINALITY & NON-REPAINTING
Original work: the three-engine agreement grading, the exhaustion-candle layer, the live engine board and the fuel meter are my own implementation — no third-party code. All divergences are built from confirmed pivots only; a drawn line or label never moves or disappears.
Educational analysis tool, not financial advice. © LunqFX. Indicator
RSI Core Levels Heatmap [BigBeluga]🔵 OVERVIEW
The RSI Core Levels Heatmap turns the standard Relative Strength Index (RSI) indicator into powerful support and resistance lines drawn directly on your main price chart. Instead of forcing you to constantly look down at a separate oscillator window, this script automatically finds hidden momentum levels and projects them right where you trade, helping you spot key reversal floors and ceilings instantly.
🔵 FEATURES
The system uses a smart layout tracking engine to map momentum without cluttering your screen:
1 — Momentum-Mapped Support & Resistance Lines
Signal Line Crossover Alerts: The indicator tracks momentum changes using a smooth Signal Line Length . When the raw RSI line crosses above or below this signal line, it triggers a setup.
Smart Price Capture: The moment a crossover happens, the engine looks back at the last 10 candles. If it is a bullish bounce, it finds the low price; if it is a bearish drop, it grabs the high price.
Direct Chart Overlay: It takes those key prices and draws clean support or resistance lines right on your main chart with clear labels.
2 — No-Clutter Overlap Protection Logic
Collision Checker: To stop your chart from looking like a messy spiderweb, the indicator checks if a new line is being drawn too close to an old one.
Duplicate Blocking: If a new level lands directly on top of an existing active zone, the script blocks it automatically to keep your trading area perfectly clean.
// Strict Collision Box Overlap Detection Matrix
is_overlapping_existing_block(high_val, low_val) =>
overlap = false
if array.size(activeBlocks) > 0
for i = 0 to array.size(activeBlocks) - 1
BlockLevel item = array.get(activeBlocks, i)
if (high_val <= item.topPrice and high_val >= item.botPrice) or (low_val >= item.botPrice and low_val <= item.topPrice) or (high_val >= item.topPrice and low_val <= item.botPrice)
overlap := true
break
overlap
3 — Active Line Lifecycle & FIFO System
Automatic Extension: All active, unbroken support and resistance lines automatically stretch forward on every new candle so they stay fresh.
Broken Line Changes: When price actions breaks through a line, the script instantly changes its style to a thin, grey dashed line and stops tracking it. This shows you exactly where historical levels failed.
Levels Heat Color: Each support and resistance level color intense is based on the rsi value at the moment level was created.
FIFO (First-In, First-Out) Lag Protection: To keep your PulseWire running fast without any lag, you can set a Max Active Levels & Labels limit. When you reach this cap, the oldest lines drop off the chart first (First-In, First-Out) to make room for new ones.
// Object Array State Lifecycle Management Snippet
if array.size(activeBlocks) > 0
for i = array.size(activeBlocks) - 1 to 0
BlockLevel item = array.get(activeBlocks, i)
bool broken = item.isBull ? (close < item.botPrice) : (close > item.topPrice)
if broken
label.delete(item.lvlLabel)
line.set_style(item.lvlLine, line.style_dashed)
line.set_color(item.lvlLine, color.gray)
line.set_width(item.lvlLine, 1)
array.remove(activeBlocks, i)
else
line.set_x2(item.lvlLine, bar_index)
label.set_x(item.lvlLabel, bar_index)
4 — Gradient Heatmap Ribbon & Proximity Dashboard
Color-Changing Ribbon blocks: The bottom sub-pane features a smooth gradient ribbon that tracks market extremes. It lights up bright green during deep oversold conditions, bright red when overbought, and turns yellow during tight consolidations ( Show Midline Squeeze Zone ).
Distance Telemetry HUD Table: A clean on-screen table calculates exactly how close the current price is to your nearest active support or resistance level in points and exact percentages.
🔵 HOW TO USE
Using this simple multi-layer blueprint helps you manage setups step-by-step:
Trading Reversals and Bounces: Watch the chart when price falls down toward a green support line. If the Dashboard Table shows the distance getting very close to 0% and the bottom ribbon is flashing deep green (oversold), look for a long bounce trade off the level.
Managing Risk and Trailing Stops: If you enter long at a support line, use that level as your risk floor. If price flushes below it, the indicator will instantly turn the line grey and dashed, letting you know the setup is invalid and it is time to cut the trade.
Spotting Squeeze Breakouts: When the bottom ribbon stays yellow, it means the market is squeezing sideways. Watch your distance dashboard closely; when price breaks out of the squeeze and flies toward your outer lines, you can ride the explosive momentum expansion.
🔵 NOTES
Why this implementation is unique:
It saves screen space by turning abstract momentum data from an oscillator below into highly accurate, tradeable price targets up on your main chart.
The overlap blocker prevents multiple lines from bunching together, keeping your chart clean and easy to read.
The automated FIFO memory cleaning system makes sure the script stays fast and lightweight, no matter how many bars are loaded on your chart.
Indicator
Adaptive Multi-Timeframe RSI Divergence📈 Adaptive Multi-Timeframe RSI Divergence
Brief Description
A multi-timeframe RSI oscillator that combines weighted higher-timeframe momentum, adaptive trend confirmation, divergence detection, and configurable Flip alerts into a unified momentum analysis framework.
📖 Overview
Adaptive Multi-Timeframe RSI Divergence expands the traditional RSI by introducing a Composite RSI calculated from multiple higher timeframes.
Instead of evaluating momentum from a single timeframe, the indicator compares local RSI behavior with broader market momentum while integrating trend confirmation, divergence detection, and adaptive visualization into one oscillator.
The objective is to reduce noise while providing a more reliable interpretation of momentum shifts.
⭐ Key Features
🔹 Composite Multi-Timeframe RSI
• Combines RSI values from three configurable higher timeframes.
• Uses customizable weighting for each timeframe.
• Smooths the result with an EMA to reduce noise.
🔹 Adaptive Trend Detection
Trend changes require multiple confirmation conditions:
✅ RSI crossover
✅ Minimum RSI distance
✅ RSI slope confirmation
✅ Confirmation bars
✅ Deadband filtering
This helps avoid false flips during ranging markets.
🔹 Flip Detection Engine
The Flip Engine confirms bullish and bearish momentum transitions only after all validation rules have been satisfied.
Flip labels and alerts are generated after confirmation rather than immediately at crossover.
🔹 RSI Divergence Detection
Supports:
• Regular Bullish
• Hidden Bullish
• Regular Bearish
• Hidden Bearish
using configurable pivot detection and lookback filtering.
🔹 Dynamic RSI Zones
Highlights active overbought and oversold regions only when RSI enters those zones, improving readability without permanently coloring the oscillator.
🔹 Trend Ribbon
🟢 Green = Confirmed Bullish Momentum
🔴 Red = Confirmed Bearish Momentum
🟣 Purple = Momentum Transition
🔔 Alerts
Includes alert conditions for:
• Bullish Flip
• Bearish Flip
Alerts trigger only after confirmation.
⚙️ Inputs
The script allows customization of:
• RSI Settings
• Composite RSI Timeframes
• Timeframe Weights
• Flip Detection
• Confirmation Rules
• Divergence Settings
📊 How to Interpret
🟢 Bullish Flip
Momentum has shifted toward bullish conditions after confirmation.
🔴 Bearish Flip
Momentum has shifted toward bearish conditions after confirmation.
📈 Composite RSI
Represents weighted higher-timeframe momentum.
📍 Divergences
Highlight potential exhaustion or continuation depending on the divergence type.
🎯 Best Applications
• Swing Trading
• Trend Confirmation
• Momentum Analysis
• Multi-Timeframe Analysis
• Divergence Confirmation
⚠️ Limitations
Like all momentum indicators, this script should be used as a decision-support tool rather than a standalone trading system.
Divergences and momentum shifts may persist before price reacts. Additional confirmation from price action or risk management techniques is recommended.
💡 Originality
Unlike a traditional RSI indicator, this script introduces several original concepts:
✔ Weighted Composite RSI using multiple higher timeframes.
✔ Adaptive trend confirmation using RSI distance, slope, persistence filters, and deadband logic.
✔ Configurable Flip Detection Engine.
✔ Trend-state ribbon.
✔ Integrated divergence detection.
✔ Built-in alert system.
Rather than simply combining existing indicators, the objective is to create a unified momentum framework that filters market noise while providing a broader view of momentum across multiple time horizons. Indicator
HBAR RSI Strategy [3Commas]HBAR Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for HBAR / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating HBAR on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 81 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the high profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If HBAR trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 0.92% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within HBAR's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:HBARUSDT.P (Perpetual) — strategy is portable to any HBAR / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 2, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,902.32 USDT (+3.90%)
Max Equity Drawdown: 938.07 USDT (0.92%)
Total Closed Trades: 81
Percent Profitable: 82.72% (67 / 81)
Profit Factor: 11.248
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached just 0.92%. Keep in mind the 81-trade sample is below the ~100-trade floor for statistical confidence, and the 11.248 profit factor reflects that small, favorable sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
BTC RSI Indicator [3Commas]BTC RSI Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a long-only DCA workflow on BTC / USDT. It tracks a single virtual position: a base entry opens when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the virtual position at fixed deviations from the base entry, each larger than the last; the position is then closed at a fixed take-profit above the blended average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL from honest fill-by-fill bookkeeping, and emits a webhook-ready JSON alert payload on the base order, every safety order, and the close.
Single entry filter: 4h RSI(14) below 28 (deep oversold).
Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
Fixed take-profit on the blended average entry; no trailing, no stop loss.
Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized PnL displayed live on the chart.
🔷 Who is it for:
Swing traders accumulating BTC on deep RSI flushes who want a chart-driven signal source.
Bot operators who want base / safety-order / close webhook JSON ready to drive a DCA Bot.
Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
Traders who want strategy-tester-equivalent insight (live realized / unrealized PnL) without running a backtest engine.
🔷 How does it work:
Base Entry: On each closed 4h bar the indicator reads RSI(14). When RSI falls below 28 and there is no open virtual position, it marks a virtual base order at the close price and dispatches the entry webhook.
Averaging Orders: Once in a virtual position, the indicator watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding safety order is recorded and its webhook fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, and Open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Take Profit & Lifetime PnL: When price closes at or above the take-profit level (a fixed percentage above the average entry), the virtual position is closed, its round-trip profit is added to a persistent realized-PnL counter, and the close webhook fires. The status table displays both Open PnL (current unrealized state) and cumulative realized PnL, so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the base order plus the five safety orders. Once all five are filled, no further adds occur — the position simply waits for the take-profit.
🔷 Why it's unique:
Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the signal quiet in normal conditions and only fires after a meaningful flush.
Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. One PulseWire alert with "Any alert() function call" drives a 3Commas DCA Bot end-to-end.
Live PnL Tracking: Open PnL and cumulative realized PnL are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest.
🔷 Considerations Before Using the Indicator:
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If BTC trends hard below the −25% AO5 level without recovering to take-profit, the virtual position sits fully loaded with no further adds and no stop — Open PnL can grow deeply negative until price reverts.
No Stop Loss: There is no exit signal on adverse moves. Risk is bounded only by the fixed ladder allocation (base + five AOs ≈ $20,633 at default sizing). If a hard exchange-side stop is required, configure it on the bot directly.
Match Sizing to Your Bot: The avg-entry and PnL display becomes meaningful only when the indicator's base/AO sizing matches your real DCA Bot configuration.
Cross Detection Granularity: Base, safety-order, and take-profit events are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-PnL counter in the status table gives a running approximation. For full metrics over the reference ~30-month sample (62 closed trades, 70.97% win rate, 3.79% max drawdown, profit factor 4.028, +3.08% net return over January 1, 2024 – June 29, 2026), use the companion strategy version on identical parameters. Note the 62-trade sample is below the ~100-trade floor for statistical confidence — treat those metrics as indicative.
🔷 How to Use It:
🔸 Add the indicator to a 4h BTC / USDT chart.
🔸 Confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your bot's configuration. Match the base/AO sizing so the avg-entry and PnL display stays meaningful.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_BTC).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The base order, each safety order, and the close will each emit a dedicated JSON payload formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size: Virtual capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Virtual capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table (shows status, AOs filled, base/avg entry, TP target, deployed capital, open PnL, RSI, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
BTC RSI Strategy [3Commas]BTC RSI Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for BTC / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating BTC on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 62 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low — and BTC is less volatile than smaller alts, so deep flushes below the entry threshold are relatively rare.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If BTC trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 3.79% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within BTC's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:BTCUSDT.P (Perpetual) — strategy is portable to any BTC / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — June 29, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,078.29 USDT (+3.08%)
Max Equity Drawdown: 3,852.12 USDT (3.79%)
Total Closed Trades: 62
Percent Profitable: 70.97% (44 / 62)
Profit Factor: 4.028
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 3.79%. Keep in mind the 62-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
XRP RSI Strategy [3Commas]XRP RSI Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for XRP / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating XRP on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If XRP trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Trade Volume — Below the Statistical Floor: The reference backtest produced 75 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the high profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Capital Deployment & Drawdown: The reference backtest reached a 1.00% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within XRP's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:XRPUSDT.P (Perpetual) — strategy is portable to any XRP / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — June 29, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,450.27 USDT (+3.45%)
Max Equity Drawdown: 1,010.83 USDT (1.00%)
Total Closed Trades: 75
Percent Profitable: 76.00% (57 / 75)
Profit Factor: 13.058
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached just 1.00%. Keep in mind the 75-trade sample is below the ~100-trade floor for statistical confidence, and the 13.058 profit factor reflects that small, favorable sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
ETH RSI Strategy [3Commas]ETH RSI Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for ETH / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating ETH on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 93 closed trades over ~30 months. This is just below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ETH trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 3.83% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within ETH's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:ETHUSDT.P (Perpetual) — strategy is portable to any ETH / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — June 28, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +5,790.33 USDT (+5.79%)
Max Equity Drawdown: 3,976.44 USDT (3.83%)
Total Closed Trades: 93
Percent Profitable: 68.82% (64 / 93)
Profit Factor: 5.019
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 3.83%. Keep in mind the 93-trade sample is just below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
ATOM RSI Indicator [3Commas]ATOM RSI Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a long-only DCA workflow on ATOM / USDT. It tracks a single virtual position: a base entry opens when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the virtual position at fixed deviations from the base entry, each larger than the last; the position is then closed at a fixed take-profit above the blended average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL from honest fill-by-fill bookkeeping, and emits a webhook-ready JSON alert payload on the base order, every safety order, and the close.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders accumulating ATOM on deep RSI flushes who want a chart-driven signal source.
- Bot operators who want base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Traders who want strategy-tester-equivalent insight (live realized / unrealized PnL) without running a backtest engine.
🔷 How does it work:
Base Entry: On each closed 4h bar the indicator reads RSI(14). When RSI falls below 28 and there is no open virtual position, it marks a virtual base order at the close price and dispatches the entry webhook.
Averaging Orders: Once in a virtual position, the indicator watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding safety order is recorded and its webhook fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, and Open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Take Profit & Lifetime PnL: When price closes at or above the take-profit level (a fixed percentage above the average entry), the virtual position is closed, its round-trip profit is added to a persistent realized-PnL counter, and the close webhook fires. The status table displays both Open PnL (current unrealized state) and cumulative realized PnL, so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the base order plus the five safety orders. Once all five are filled, no further adds occur — the position simply waits for the take-profit.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the signal quiet in normal conditions and only fires after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. One PulseWire alert with "Any alert() function call" drives a 3Commas DCA Bot end-to-end.
- Live PnL Tracking: Open PnL and cumulative realized PnL are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest.
🔷 Considerations Before Using the Indicator:
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ATOM trends hard below the −25% AO5 level without recovering to take-profit, the virtual position sits fully loaded with no further adds and no stop — Open PnL can grow deeply negative until price reverts.
No Stop Loss: There is no exit signal on adverse moves. Risk is bounded only by the fixed ladder allocation (base + five AOs ≈ $20,633 at default sizing). If a hard exchange-side stop is required, configure it on the bot directly.
Match Sizing to Your Bot: The avg-entry and PnL display becomes meaningful only when the indicator's base/AO sizing matches your real DCA Bot configuration.
Cross Detection Granularity: Base, safety-order, and take-profit events are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-PnL counter in the status table gives a running approximation. For full metrics over the reference ~30-month sample (84 closed trades, 70.24% win rate, 4.57% max drawdown, profit factor 3.417, +4.74% net return over January 1, 2024 – June 24, 2026), use the companion strategy version on identical parameters. Note the 84-trade sample is below the ~100-trade floor for statistical confidence — treat those metrics as indicative.
🔷 How to Use It:
🔸 Add the indicator to a 4h ATOM / USDT chart.
🔸 Confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your bot's configuration. Match the base/AO sizing so the avg-entry and PnL display stays meaningful.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_ATOM).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The base order, each safety order, and the close will each emit a dedicated JSON payload formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size: Virtual capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Virtual capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table (shows status, AOs filled, base/avg entry, TP target, deployed capital, open PnL, RSI, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
ATOM RSI Strategy [3Commas]ATOM RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for ATOM / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating ATOM on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 84 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ATOM trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 4.57% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within ATOM's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:ATOMUSDT.P (Perpetual) — strategy is portable to any ATOM / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — June 24, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +4,739.50 USDT (+4.74%)
Max Equity Drawdown: 4,608.66 USDT (4.57%)
Total Closed Trades: 84
Percent Profitable: 70.24% (59 / 84)
Profit Factor: 3.417
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 4.57%. Keep in mind the 84-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
JUP RSI Long Indicator [3Commas]JUP RSI Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a JUP dip-buying workflow with a scaling safety-order ladder. It tracks one virtual long position at a time, opened only when JUP prints a deep oversold reading on 4-hour RSI. Five safety orders fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes scaling 1.8× on every rung. Exit is a fixed 3% Take Profit from average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL — all derived from honest fill-by-fill bookkeeping. Every event emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
- Selective oversold entry: 4h RSI < 28.
- Non-uniform fixed-deviation safety ladder: −2%, −5%, −9.5%, −16%, −25% from base entry.
- 1.8× scaling safety-order sizes: 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT from a $500 base.
- Tight 3% Take Profit from the averaged-down entry — quick deal close once price stabilizes.
- Honest virtual bookkeeping: Open PnL and lifetime Total PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders running a DCA Bot on JUP who want to buy deep oversold dips.
- DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves.
- Bot operators who want a chart-driven signal source that emits per-event JSON ready for a DCA Bot.
- Traders comfortable with a scaling martingale ladder deploying up to ~20.6% of equity per trade in exchange for a high deal-close rate.
🔷 How does it work:
Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips.
Base Entry: When the gate is satisfied, the indicator marks a virtual long entry, captures the base entry price, and seeds the cost-basis ledger with the configured base order size (default 500 USDT).
Safety Order Ladder (Fixed Deviations, 1.8× Sizes): After base fill, the indicator monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fills at close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. USDT sizes scale 1.8× from a 900 first AO: 900 / 1,620 / 2,916 / 5,249 / 9,448. Each fill updates the running cost-basis and dispatches its own webhook payload.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, Open PnL, and Total PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut from base entry, no synthetic averaging.
Lifetime Total PnL: When the position closes for profit, the realized PnL from that cycle accumulates into a lifetime counter. The status table displays both Open PnL (current cycle, resets on exit) and Total PnL (lifetime, persists across the chart history).
Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the close webhook fires, realized PnL accumulates, and the virtual position resets.
🔷 Why it's unique:
- Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip.
- Non-Uniform Fixed-Deviation Ladder: Most published DCA tools use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves.
- 1.8× Scaling (Not Doubling): The 1 / 1.8 / 3.24 / 5.83 / 10.5 size progression is softer than a 2× doubling martingale — it still concentrates size in the deeper rungs but caps maximum deployment at ~20.6% of equity.
- Lifetime PnL Tracking: Open PnL and Total PnL are displayed live on the chart — Open resets per cycle, Total persists across the entire chart history. The indicator gives strategy-tester-equivalent insight without running a backtest.
- Per-Event Webhook Ledger: Up to seven discrete events per cycle (entry + 5 AO fills + TP), each with its own JSON alert payload. One PulseWire alert with "Any alert() function call" drives a DCA Bot end-to-end.
🔷 Considerations Before Using the Indicator:
Sample Size: The companion strategy's backtest produced 83 closed trades over a ~29-month window — below the ≥100 floor typically used for statistical confidence. The high win rate and profit factor reflect favorable conditions and the averaging mechanic, not a deterministic edge. Treat them as indicative, not a forward-performance guarantee.
Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches ~$20,633 = ~20.6% of the default reference equity. The scaling ladder amplifies both upside on recovery and risk if the lower bound breaks. Match the indicator's per-AO allocation to your bot's configuration to keep the avg-entry display honest.
No Stop Loss: There is no exit signal on adverse moves below AO5 (−25% from base). If price keeps falling, the virtual position holds unhedged until either price recovers to the 3% TP target or the user intervenes. Risk is structurally capped on the bot side by the bounded position ladder; if a hard exchange-side stop is required, configure it on the bot directly.
Martingale Tail Risk: A ladder that bottoms out at −25% is built for mean-reverting moves. JUP is a high-volatility asset; a sustained directional collapse below −25% leaves the full virtual position open with no further averaging available — the single largest risk in any martingale DCA.
Cross Detection Granularity: Entries and AO fills are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position state is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live Total PnL counter in the status table gives a running approximation. For full metrics over a ~29-month sample (83 closed trades, 69.88% win rate, 1.55% max drawdown, profit factor 5.655, +3.99% net return), use the companion strategy version on identical parameters.
🔷 How to Use It:
🔸 Add the indicator to a 4h JUP / USDT chart.
🔸 Review the RSI entry level, the five AO deviations and sizes, and the Take Profit percentage. Defaults are calibrated for JUP 4h — recalibrate when the asset's volatility regime shifts.
🔸 Set Base Order Size and AO sizes to match your bot's configuration (the indicator's avg-entry display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_JUP).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit JSON payloads for entry, each safety order, and TP exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): Virtual order size for the avg-entry / open-PnL computation.
AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5.
AO1–AO5 Size (USDT): Virtual USDT amount of each safety order. Scales 1.8× per rung by default.
RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry.
Take Profit (%): Fixed distance above the running average entry where the virtual long closes.
Active Window: Optional date filter — when ON, the indicator only fires signals between From and To dates.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
JUP RSI Long Strategy [3Commas]JUP RSI Long Strategy
🔷 What it does:
This is a long-only DCA strategy with a selective oversold entry and a scaling safety-order ladder. A long entry opens only when the 4-hour RSI falls below 28 (deep oversold). Five safety orders then fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes scaling 1.8× on every rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base). Exit is a fixed 3% Take Profit from average entry. No trailing, no Stop Loss.
- Single base order with up to five safety orders on a non-uniform fixed-deviation ladder reaching −25% below base.
- Size scaling 1.8× per rung — aggressive enough to pull the average down hard, softer than a 2× doubling martingale.
- Tight 3% Take Profit from average entry — the averaging ladder pulls the average down so a small recovery closes the deal in profit.
- Single entry filter: deeply oversold 4h RSI — a clean, selective trigger.
- Every entry, safety order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Swing traders looking for long exposure on JUP when it prints deep oversold readings on the 4h.
- DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves.
- Bot operators who want to drive a DCA Bot via webhook with per-event JSON payloads tagged for each base / safety order / exit action.
- Traders comfortable with a scaling martingale ladder deploying up to ~20.6% of equity per trade in exchange for a high deal-close rate.
🔷 How does it work:
Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips.
Base Order: Sized at 500 USDT default (0.5% of 100k capital). Configurable as Market (default) or Limit at the bar's close.
Safety Order Ladder (Fixed Deviations, 1.8× Sizes): After the base fill, the strategy monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fires when close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. Sizes scale 1.8× from a 900 USDT first AO: 900 / 1,620 / 2,916 / 5,249 / 9,448.
Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the position closes at market. No trailing, no Stop Loss.
Why the Ladder Works: Each scaling safety order weights the average entry toward the lowest fills. After several rungs fill, the average sits well below base, so a modest 3% bounce off the lows is enough to close the whole deal in profit — the core mechanic of a DCA bot.
🔷 Why it's unique:
- Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip.
- Non-Uniform Fixed-Deviation Ladder: Most published DCAs use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves and the lowest rung sits a full 25% below base.
- 1.8× Scaling (Not Doubling): The 1 / 1.8 / 3.24 / 5.83 / 10.5 size progression is softer than a 2× doubling martingale — it still concentrates size in the deeper rungs but caps maximum deployment at ~20.6% of equity rather than ~31%.
- Tight Recovery Target: The 3% Take Profit on the averaged-down entry closes deals quickly once price stabilizes, keeping the win rate high and holding times short relative to the depth of the ladder.
- DCA Bot Integration: Every event (base, AO 1–5, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer.
🔷 Considerations Before Using the Strategy:
Sample Size: The backtest produced 83 closed trades — below the ≥100 floor typically used for statistical confidence. The 69.88% win rate and high profit factor reflect favorable conditions over the test window and the averaging mechanic, not a deterministic edge. Treat these numbers as indicative of how the ladder behaves, not a forward-performance guarantee. Extend the test window or run the strategy across multiple assets to build a larger sample before committing capital.
Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches ~$20,633 = ~20.6% of default 100k equity — above PulseWire's typical 5–10% per-trade band. Size the base and AO inputs down to dial per-trade risk into a safer range. The scaling ladder amplifies both upside (when price recovers) and risk (if the lower bound breaks).
No Stop Loss: There is no exit on adverse moves below the −25% AO5. If price keeps falling below the lowest safety order, the position holds unhedged until either price recovers to the 3% TP target or the user intervenes. The structural risk cap is the bounded 5-rung position ladder; if a hard exchange-side stop is required, layer it on the bot directly.
Martingale Tail Risk: A ladder that bottoms out at −25% is built for mean-reverting moves. JUP is a high-volatility asset; a sustained directional collapse below −25% leaves the full position open with no further averaging available — the single largest risk in any martingale DCA. Choose regimes where deep-but-recoverable dips are the norm.
Commission Calibration: The default 0.06% commission is calibrated for perpetual taker conditions. Match it to your exchange's actual fees.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:JUPUSDT.P (Perpetual) — portable to any JUP / USDT pair.
Timeframe: 4H
Test Period: January 31, 2024 — June 25, 2026 (~29 months).
Initial Capital: 100,000 USDT.
Order Size per Trade: 0.5% of Capital base + 5 safety orders with 1.8× size scaling.
Max Capital Deployed: ~$20,633 per trade (~20.6% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Base Order: 500 USDT, Market by default (Limit toggle available).
Take Profit: 3.0% above average entry (no trailing).
Stop Loss: None — bounded position size is the structural risk cap.
Entry Filter: 4h RSI(14) Less Than 28.
Safety Orders: 5 with fixed deviations −2% / −5% / −9.5% / −16% / −25% from base entry; sizes 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT (1.8× scaling).
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,990.21 USDT (+3.99%)
Max Equity Drawdown: 1,573.79 USDT (1.55%)
Total Closed Trades: 83
Percent Profitable: 69.88% (58 / 83)
Profit Factor: 5.655
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the five AO deviations and sizes, the RSI entry level, and the Take Profit percentage. Defaults are calibrated for JUP 4h — recalibrate when the asset's volatility regime shifts.
🔸 Results Review: The backtest produced 83 closed trades over ~29 months — below the ~100-trade floor for statistical relevance. Treat the metrics as indicative of the ladder's behavior; a larger sample increases confidence. Confirm that the trade frequency and the ladder's max deployment fit your risk tolerance before deploying capital.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each safety order, and exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the long entry.
Use LIMIT for Base: Toggle between Market (default) and Limit at bar close.
AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5.
AO1–AO5 Size (USDT): USDT amount of each safety order. Scales 1.8× per rung by default.
RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry.
Take Profit (%): Fixed distance above average entry where the long closes for profit.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
POL RSI Long Strategy [3Commas]POL RSI Long Strategy
🔷 What it does:
This is a long-only DCA strategy with a selective oversold entry and a scaling safety-order ladder. A long entry opens only when the 4-hour RSI falls below 28 (deep oversold). Five safety orders then fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes scaling 1.8× on every rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base). Exit is a fixed 3% Take Profit from average entry. No trailing, no Stop Loss.
- Single base order with up to five safety orders on a non-uniform fixed-deviation ladder reaching −25% below base.
- Size scaling 1.8× per rung — aggressive enough to pull the average down hard, softer than a 2× doubling martingale.
- Tight 3% Take Profit from average entry — the averaging ladder pulls the average down so a small recovery closes the deal in profit.
- Single entry filter: deeply oversold 4h RSI — a clean, selective trigger.
- Every entry, safety order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Swing traders looking for long exposure on POL when it prints deep oversold readings on the 4h.
- DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves.
- Bot operators who want to drive a DCA Bot via webhook with per-event JSON payloads tagged for each base / safety order / exit action.
- Traders comfortable with a scaling martingale ladder deploying up to ~20.6% of equity per trade in exchange for a high deal-close rate.
🔷 How does it work:
Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips.
Base Order: Sized at 500 USDT default (0.5% of 100k capital). Configurable as Market (default) or Limit at the bar's close.
Safety Order Ladder (Fixed Deviations, 1.8× Sizes): After the base fill, the strategy monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fires when close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. Sizes scale 1.8× from a 900 USDT first AO: 900 / 1,620 / 2,916 / 5,249 / 9,448.
Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the position closes at market. No trailing, no Stop Loss.
Why the Ladder Works: Each scaling safety order weights the average entry toward the lowest fills. After several rungs fill, the average sits well below base, so a modest 3% bounce off the lows is enough to close the whole deal in profit — the core mechanic of a DCA bot.
🔷 Why it's unique:
- Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip.
- Non-Uniform Fixed-Deviation Ladder: Most published DCAs use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves and the lowest rung sits a full 25% below base.
- 1.8× Scaling (Not Doubling): The 1 / 1.8 / 3.24 / 5.83 / 10.5 size progression is softer than a 2× doubling martingale — it still concentrates size in the deeper rungs but caps maximum deployment at ~20.6% of equity rather than ~31%.
- Tight Recovery Target: The 3% Take Profit on the averaged-down entry closes deals quickly once price stabilizes, keeping the win rate high and holding times short relative to the depth of the ladder.
- DCA Bot Integration: Every event (base, AO 1–5, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer.
🔷 Considerations Before Using the Strategy:
Sample Size: The backtest produced 72 closed trades — below the ≥100 floor typically used for statistical confidence. The 72.22% win rate and high profit factor reflect favorable conditions over the test window and the averaging mechanic, not a deterministic edge. Treat these numbers as indicative of how the ladder behaves, not a forward-performance guarantee. Extend the test window or run the strategy across multiple assets to build a larger sample before committing capital.
Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches ~$20,633 = ~20.6% of default 100k equity — above PulseWire's typical 5–10% per-trade band. Size the base and AO inputs down to dial per-trade risk into a safer range. The scaling ladder amplifies both upside (when price recovers) and risk (if the lower bound breaks).
No Stop Loss: There is no exit on adverse moves below the −25% AO5. If price keeps falling below the lowest safety order, the position holds unhedged until either price recovers to the 3% TP target or the user intervenes. The structural risk cap is the bounded 5-rung position ladder; if a hard exchange-side stop is required, layer it on the bot directly.
Martingale Tail Risk: A ladder that bottoms out at −25% is built for mean-reverting moves. POL is a high-volatility asset; a sustained directional collapse below −25% leaves the full position open with no further averaging available — the single largest risk in any martingale DCA. Choose regimes where deep-but-recoverable dips are the norm.
Commission Calibration: The default 0.06% commission is calibrated for perpetual taker conditions. Match it to your exchange's actual fees.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:POLUSDT.P (Perpetual) — portable to any POL / USDT pair.
Timeframe: 4H
Test Period: September 13, 2024 — June 24, 2026 (~21 months).
Initial Capital: 100,000 USDT.
Order Size per Trade: 0.5% of Capital base + 5 safety orders with 1.8× size scaling.
Max Capital Deployed: ~$20,633 per trade (~20.6% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Base Order: 500 USDT, Market by default (Limit toggle available).
Take Profit: 3.0% above average entry (no trailing).
Stop Loss: None — bounded position size is the structural risk cap.
Entry Filter: 4h RSI(14) Less Than 28.
Safety Orders: 5 with fixed deviations −2% / −5% / −9.5% / −16% / −25% from base entry; sizes 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT (1.8× scaling).
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,583.76 USDT (+3.58%)
Max Equity Drawdown: 944.08 USDT (0.94%)
Total Closed Trades: 72
Percent Profitable: 72.22% (52 / 72)
Profit Factor: 7.9
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the five AO deviations and sizes, the RSI entry level, and the Take Profit percentage. Defaults are calibrated for POL 4h — recalibrate when the asset's volatility regime shifts.
🔸 Results Review: The backtest produced 72 closed trades over ~21 months — below the ~100-trade floor for statistical relevance. Treat the metrics as indicative of the ladder's behavior; a larger sample increases confidence. Confirm that the trade frequency and the ladder's max deployment fit your risk tolerance before deploying capital.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each safety order, and exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the long entry.
Use LIMIT for Base: Toggle between Market (default) and Limit at bar close.
AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5.
AO1–AO5 Size (USDT): USDT amount of each safety order. Scales 1.8× per rung by default.
RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry.
Take Profit (%): Fixed distance above average entry where the long closes for profit.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
BCH RSI Indicator [3Commas]BCH RSI Indicator
🔷 What it does:
This is the signal-only companion to the BCH RSI Short strategy — it fires alerts without running a backtest engine. It tracks one virtual short at a time, opened when the RSI(9) — sampled on the 5-minute timeframe — crosses back DOWN through 80. The indicator itself runs on the 15-minute chart, which acts as the execution/confirmation layer: signals are evaluated at 15m bar close while the trigger reads the lower-timeframe RSI. Up to three averaging orders stack at +1%, +2%, and +3% above entry (equal size). The deal closes on a 1.3% Take Profit from the average with a 0.3% trailing lock, or a hard 8% Stop Loss. Running average entry, deployed capital, open PnL, and lifetime realized PnL are kept from honest fill-by-fill bookkeeping, and every event emits a webhook-ready JSON payload for a DCA Bot.
- RSI trigger on 5m; indicator run on the 15m chart (higher timeframe = confirmation).
- Uniform averaging ladder above entry: +1% / +2% / +3%.
- 1.3% Take Profit with a 0.3% trailing lock, plus a hard 8% Stop Loss.
- Live Open PnL and lifetime Total PnL on the chart.
🔷 Who is it for:
- Intraday traders fading overbought spikes on BCH with a multi-timeframe filter.
- Bot operators wiring PulseWire alerts straight into a DCA Bot via per-event JSON.
- Traders who want a defined-risk short signal — averaging with a stop, not a stopless martingale.
- Operators who want to watch the virtual deal state (entry, fills, exit) directly on the chart.
🔷 How does it work:
Timeframe Setup: Add the indicator to a 15-minute chart. The RSI is pulled from the 5-minute timeframe via request.security with lookahead disabled (no repaint). The entry signal is driven by 5m RSI dynamics, while the execution clock — when entries, averaging orders, and exits are evaluated — is the 15m bar close. The higher 15m timeframe therefore acts as a confirmation/execution layer over the faster 5m trigger.
Entry Trigger: The base short opens when the 5m RSI(9) was ≥ 80 on its prior close and drops below it — the overbought-to-neutral rollover.
Base Entry: On the trigger, the indicator marks a virtual short, records the entry, and seeds the cost-basis ledger with the base order size (default 500 USDT).
Averaging Ladder (uniform): Three safety orders at fixed +1% / +2% / +3% above base, 250 USDT each. Each fill updates the running cost-basis and dispatches its own webhook, raising the virtual average entry.
Honest Bookkeeping: Cost and quantity update on every event, so the average entry, deployed capital, Open PnL, and Total PnL in the status table reflect the true broker-equivalent state.
Exit (TP + Trailing): At 1.3% below the running average, a trailing exit arms; the indicator tracks the in-favor low and signals a close on a 0.3% retrace off it.
Stop Loss: A hard 8% stop above the average fires the close webhook, banks realized PnL, and resets the virtual position.
Lifetime Total PnL: Each closed cycle's realized PnL accumulates into a lifetime counter shown alongside the current-cycle Open PnL.
🔷 Why it's unique:
- Multi-Timeframe Filter: A 5m RSI rollover trigger executed on the 15m chart blends a fast signal with a slower execution cadence — the 15m close acts as a confirmation gate that reduces reaction to 5m noise.
- Stop-Bounded Averaging: A compact 3-rung ladder plus an explicit 8% stop keeps the worst-case loss known up front.
- Trailing Profit Lock: The 1.3% target arms a 0.3% trail, banking the snap-back while letting an extended drop run.
- Lifetime PnL Tracking: Open and lifetime Total PnL on the chart give strategy-tester-equivalent insight without a backtest.
- Plug-and-Play Webhooks: Base, each AO, and the exit each emit a complete JSON alert; one "Any alert() function call" alert drives a DCA Bot end-to-end.
🔷 Considerations Before Using the Indicator:
Sample Size: The companion strategy's backtest produced 131 closed trades — above the ~100-trade floor commonly used for statistical relevance. Still a single test window, so treat the metrics as indicative.
Timeframe Pairing: This setup samples a LOWER timeframe (5m) than the chart it runs on (15m); the indicator only acts at 15m closes, filtering some intra-15m 5m crosses — that is the intended "confirmation" behavior. Keep the chart on 15m to reproduce the companion strategy's results.
Short Execution Venue: This signals shorts. Live shorting of BCH requires a margin or perpetual venue — it cannot run on a spot account.
Stop Loss Discipline: The 8% stop is the core risk control. Base plus three AOs deploy at most ~1,250 USDT (12.5% of the default reference equity); an 8% stop on that caps the worst case near ~1% of equity. Keep the stop on.
Trend Risk: Fading strength suits ranges and choppy tape. In a relentless uptrend the short can be stopped out repeatedly; the rollover trigger reduces, but does not remove, that risk.
Cross Detection Granularity: Entries, AO fills, and exits evaluate on bar close. A spike-and-revert within a single bar may be missed by design — matching realistic polling and avoiding intra-bar over-signaling.
Live vs Historical State: The virtual state is rebuilt from chart history on each recompile. If added mid-deployment or if the live bot diverges (manual interventions, partial fills), states may differ. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live Total PnL counter gives a running approximation. For full metrics over a ~13.7-month sample (131 closed trades, 87.79% win rate, 1.73% max drawdown, profit factor 2.821, +4.63% net return), use the companion strategy version on identical parameters.
🔷 How to Use It:
🔸 Add the indicator to a 15-minute BCH / USDT chart (the RSI input stays on 5m — this is the intended pairing).
🔸 Review the RSI trigger level/timeframe, the averaging-order count/deviation/size, the Take Profit, Trailing, and Stop Loss percentages. Defaults mirror the source strategy.
🔸 Set Base Order Size and AO sizes to match your bot's configuration (the avg-entry display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_BCH).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator emits JSON for entry, each averaging order, and the TP/SL exit.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): Virtual order size for the avg-entry / open-PnL computation.
Averaging Orders per Trade: Number of safety orders (default 3).
First AO Size (USDT): Virtual size of each averaging order (uniform by default).
Deviation to First AO (%) / Deviation Step Multiplier: Spacing of the AO ladder above base entry. Defaults to uniform +1% steps.
Order Size Multiplier: Per-rung size scaling (1.0 = uniform).
RSI Timeframe / Length / Crossing Down Level: The RSI(9) crossing-down trigger — default 5m, run on the 15m chart.
Take Profit (%) / Trailing (%): TP distance below average entry and the trailing retrace that closes the position.
Stop Loss (%): Hard stop above average entry.
Active Window: Optional date filter — when ON, the indicator only fires signals between From and To dates.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle DCA Ladder, Avg / TP / SL plot lines, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
BCH RSI Strategy [3Commas]BCH RSI Strategy
🔷 What it does:
A short-only, momentum-fade DCA system for Bitcoin Cash. The deal arms the moment a fast push higher exhausts itself: the RSI(9) — sampled on the 5-minute timeframe — must cross back DOWN through 80. The strategy itself runs on the 15-minute chart, which acts as the execution/confirmation layer: signals are evaluated and orders fire at 15m bar close, while the trigger reads the lower-timeframe RSI. From the base short, up to three averaging orders stack at +1%, +2%, and +3% above entry (equal size). The position closes on a 1.3% Take Profit from the average with a 0.3% trailing lock, and a hard 8% Stop Loss caps the downside.
- RSI trigger on 5m; strategy executed on the 15m chart (higher timeframe = confirmation).
- One base short plus a 3-rung uniform averaging ladder placed above entry.
- Take Profit at −1.3% from average with a 0.3% trailing retrace to extend winners.
- Hard 8% Stop Loss — a real, bounded per-trade risk rather than an open-ended martingale.
- Every base fill, averaging order, and exit emits a webhook-ready JSON payload for a DCA Bot.
🔷 Who is it for:
- Intraday traders who fade overbought spikes on BCH with a multi-timeframe filter.
- Bot operators wiring PulseWire alerts straight into a DCA Bot via per-event JSON.
- Traders who want averaging with a stop attached, not a stopless grind.
- Portfolio builders adding a high-win-rate short-side sleeve with capped risk.
🔷 How does it work:
Timeframe Setup: Add the strategy to a 15-minute chart. The RSI is pulled from the 5-minute timeframe via request.security with lookahead disabled (no repaint). So the entry signal is driven by 5m RSI dynamics, while the execution clock — when entries, averaging orders, and exits are evaluated — is the 15m bar close. The higher 15m timeframe therefore acts as a confirmation/execution layer over the faster 5m trigger.
Entry Trigger: The base short opens when the 5m RSI(9) was ≥ 80 on its prior close and drops below it — the overbought-to-neutral rollover.
Base Order: 500 USDT default (5% of 10k capital), placed Limit at the signal bar's close (a Market toggle is available).
Averaging Ladder (uniform): Three safety orders sit at fixed +1% / +2% / +3% above the base, each 250 USDT (half the base). They average the short up if price keeps climbing, shrinking the bounce needed to reach target.
Exit (TP + Trailing): Once price reaches 1.3% below the running average, a trailing exit arms; the strategy then tracks the in-favor low and closes on a 0.3% retrace off it.
Stop Loss: A hard 8% stop above the average closes the deal at market if the short keeps running against the position.
🔷 Why it's unique:
- Multi-Timeframe Filter: A 5m RSI rollover trigger executed on the 15m chart blends a fast signal with a slower execution cadence — the 15m close acts as a confirmation gate that reduces reaction to 5m noise.
- Stop-Bounded Averaging: A compact 3-rung ladder plus an explicit 8% stop keeps the worst-case loss known up front, unlike classic stopless martingale shorts.
- Trailing Profit Lock: The 1.3% target arms a 0.3% trail, banking the snap-back while still letting an extended drop run.
- Plug-and-Play Webhooks: Base, each AO, and the exit each emit a complete JSON alert; one "Any alert() function call" alert drives a DCA Bot end-to-end.
🔷 Considerations Before Using the Strategy:
Sample Size: The backtest produced 131 closed trades — above the ~100-trade floor commonly used for statistical relevance. The 87.79% win rate and 2.821 profit factor still reflect a single test window, so treat them as indicative and broaden the test (longer period or more assets) before sizing up.
Timeframe Pairing: This setup samples a LOWER timeframe (5m) than the chart it runs on (15m). The strategy only acts at 15m closes, so some intra-15m 5m crosses are effectively filtered — that is the intended "confirmation" behavior. If you change the chart timeframe, the signal cadence changes; keep the chart on 15m to reproduce these results.
Stop Loss Discipline: The 8% Stop Loss is the defining risk control. With the base plus three averaging orders, maximum deployed capital is ~1,250 USDT (12.5% of default equity); an 8% stop on that bounds the worst-case loss to roughly 1% of equity. Keep the stop enabled.
Trend Risk: Fading overbought conditions works best in ranges and choppy regimes. In a strong, sustained uptrend the short can hit the 8% stop repeatedly. The RSI-crossing-down trigger reduces but does not eliminate this.
Commission Calibration: The default 0.06% commission is calibrated for Bybit perpetual taker conditions. Match it to your venue's actual fees.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:BCHUSDT.P (Perpetual) — portable to any BCH / USDT pair.
Timeframe: 15M chart, with the RSI trigger sampled from 5M (higher timeframe acts as confirmation).
Test Period: May 1, 2025 — June 23, 2026 (~13.7 months).
Initial Capital: 10,000 USDT.
Order Size: 500 USDT base (5%) + 3 averaging orders of 250 USDT each (uniform).
Max Capital Deployed: ~1,250 USDT per trade (~12.5% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Short Positions: 100% (1× leverage, Isolated in source config).
Indicator Settings: Default Configuration.
Base Order: 500 USDT, Limit by default (Market toggle available).
Entry Trigger: 5m RSI(9) Crossing Down 80 (evaluated on the 15m chart).
Averaging Orders: 3 with fixed deviations +1% / +2% / +3% above base entry; uniform 250 USDT sizing.
Take Profit: 1.3% below average entry, with 0.3% trailing.
Stop Loss: 8% above average entry (hard close).
Strategy: Short Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +462.89 USDT (+4.63%)
Max Equity Drawdown: 173.62 USDT (1.73%)
Total Closed Trades: 131
Percent Profitable: 87.79% (115 / 131)
Profit Factor: 2.821
🔷 How to Use It:
🔸 Add the strategy to a 15-minute BCH / USDT chart (the RSI input stays on 5m — this is the intended pairing).
🔸 Adjust Settings: Review the Base Order Size, the AO count/deviation/size, the RSI trigger level/timeframe, the Take Profit/Trailing, and the Stop Loss. Defaults mirror the source DCA Bot configuration.
🔸 Results Review: 131 closed trades clears the ~100-trade floor; still validate across a longer window or more assets, and confirm drawdown and trade frequency fit your tolerance before going live.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs. The strategy emits JSON for entry, each averaging order, and exit.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the initial short.
Use LIMIT for Base: Toggle between Limit (default) and Market entry.
Averaging Orders per Trade: Number of safety orders (default 3).
First AO Size (USDT): Size of each averaging order (uniform by default).
Deviation to First AO (%) / Deviation Step Multiplier: Spacing of the AO ladder above base entry. Defaults to uniform +1% steps.
Order Size Multiplier: Per-rung size scaling (1.0 = uniform).
RSI Timeframe / Length / Crossing Down Level: The RSI(9) crossing-down trigger — default 5m, run on the 15m chart.
Take Profit (%) / Trailing (%): TP distance below average entry and the trailing retrace that closes the position.
Stop Loss (%): Hard stop above average entry.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle DCA Ladder, Avg / TP / SL plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
ARB RSI Short Indicator [3Commas]ARB RSI Short Indicator
🔷 What it does:
This is the signal-only companion to the ARB RSI Short strategy — it fires alerts without running a backtest engine. It tracks one virtual short at a time, opened when the 4-hour RSI(14) crosses back DOWN through 74 (an overbought rollover). Two averaging orders stack ABOVE entry at +5% and +10% (sizes scaled 1.7×: 850, then 1,445). The deal closes on a fixed 6% Take Profit from the average. There is no Stop Loss — the position is bounded by the 2-rung ladder. Running average entry, deployed capital, open PnL, and lifetime realized PnL are kept from honest fill-by-fill bookkeeping, and every event emits a webhook-ready JSON payload for a DCA Bot.
- Entry on the 4h RSI rollover: crossing DOWN through 74.
- Two averaging orders above entry: +5% / +10%, sized 1.7× per rung.
- Fixed 6% Take Profit from the running average. No trailing.
- No Stop Loss — bounded by the 2-AO ladder.
- Live Open PnL and lifetime Total PnL on the chart.
🔷 Who is it for:
- Swing traders fading higher-timeframe overbought conditions on ARB.
- DCA-style traders comfortable with rare, selective entries (a 4h RSI rollover fires only a few times per year).
- Bot operators wiring PulseWire alerts straight into a DCA Bot via per-event JSON.
- Traders who accept a bounded ladder with no hard stop in exchange for a high deal-close rate.
🔷 How does it work:
Entry Trigger: A 4-hour RSI(14) is pulled with request.security and lookahead disabled (no repaint). The short fires when that RSI was ≥ 74 on the prior 4h close and drops below it on the current close.
Base Entry: On the trigger, the indicator marks a virtual short, records the entry, and seeds the cost-basis ledger with the base order size (default 500 USDT).
Averaging Ladder: Two safety orders at fixed +5% / +10% above base, sized 850 then 1,445 (1.7× progression). Each fill updates the running cost-basis and dispatches its own webhook, raising the virtual average entry.
Honest Bookkeeping: Cost and quantity update on every event, so the average entry, deployed capital, Open PnL, and Total PnL in the status table reflect the true broker-equivalent state.
Exit: A fixed 6% Take Profit below the running average. When close reaches it, the close webhook fires, realized PnL accumulates, and the virtual position resets.
No Stop Loss: There is no exit signal above the top rung. Risk is structurally capped on the bot side by the bounded position; if a hard stop is required, configure it on the bot.
Lifetime Total PnL: Each closed cycle's realized PnL accumulates into a lifetime counter shown alongside the current-cycle Open PnL.
🔷 Why it's unique:
- Higher-Timeframe Rollover: Firing on a 4h RSI cross-down through 74 is far more selective than an intraday trigger — it waits for a meaningful overbought turn.
- Bounded Averaging, No Stop: A compact 2-rung 1.7× ladder caps the maximum position in advance, which is the structural risk control in place of a stop.
- Fixed Recovery Target: The 6% Take Profit on the averaged-down entry releases the deal on a clean, defined bounce.
- Lifetime PnL Tracking: Open and lifetime Total PnL on the chart give strategy-tester-equivalent insight without a backtest.
- Plug-and-Play Webhooks: Base, each AO, and the exit each emit a complete JSON alert; one "Any alert() function call" alert drives a DCA Bot end-to-end.
🔷 Considerations Before Using the Indicator:
Sample Size (Important): Over a ~3.25-year backtest the companion strategy produced only 10 closed trades — far below the ~100-trade floor for statistical relevance. The 80% win rate and high profit factor are a consequence of this tiny, selective sample and must NOT be extrapolated. Treat them as a demonstration of the entry's discipline; validate across more assets and conditions, and expect a very low signal frequency.
No Stop Loss / Tail Risk: With no stop, a sustained rally above the +10% top rung leaves the full virtual position open until price reverts to the 6% target — the largest risk here. The bounded ladder caps deployment (~28% of reference equity), not how far price can run against the unhedged remainder.
Short Execution Venue: This signals shorts. Live shorting of ARB requires a margin or perpetual venue — it cannot run on a spot account.
Cross Detection Granularity: Entries, AO fills, and exit evaluate on bar close. A spike-and-revert within a single bar may be missed by design — matching realistic polling and avoiding intra-bar over-signaling.
Live vs Historical State: The virtual state is rebuilt from chart history on each recompile. If added mid-deployment or if the live bot diverges (manual interventions, partial fills), states may differ. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live Total PnL counter gives a running approximation. For full metrics over a ~3.25-year sample (10 closed trades, 80.00% win rate, 4.48% max drawdown, profit factor 16.189, +5.30% net return), use the companion strategy version on identical parameters — and read the Sample Size note above before relying on those figures.
🔷 How to Use It:
🔸 Add the indicator to a 4h ARB / USDT chart.
🔸 Review the RSI trigger level (74), the AO deviations/sizes, and the Take Profit. Defaults mirror the source strategy.
🔸 Set Base Order Size and AO sizes to match your bot's configuration (the avg-entry display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_ARB).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator emits JSON for entry, each averaging order, and the TP exit.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): Virtual order size for the avg-entry / open-PnL computation.
Averaging Orders per Trade: Number of safety orders (default 2).
First AO Size (USDT): Virtual size of the first averaging order; subsequent AOs scale by the Order Size Multiplier.
Deviation to First AO (%) / Deviation Step Multiplier: Spacing of the AO ladder above base entry. Defaults to +5% then +10%.
Order Size Multiplier: Per-rung size scaling (default 1.7).
RSI Timeframe / Length / Crossing Down Level: The 4h RSI(14) crossing-down trigger for the base short.
Take Profit (%): Fixed distance below average entry where the virtual short closes.
Active Window: Optional date filter — when ON, the indicator only fires signals between From and To dates.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
