Momentum Cascade | Lyro RSOverview:
Momentum Cascade is a rate-of-change momentum tool that passes a single momentum reading through three sequential smoothing stages to filter out early, unconfirmed moves. Rather than reacting to the first sign of a shift, it waits for the momentum signal to "cascade" through instant, reactive, and committed stages before confirming a trend, giving a cleaner read on when a move has genuine follow-through.
Key Features
Three-Stage Cascade Engine: Calculates a rate-of-change momentum value, then passes it through two successive EMA smoothing stages. Stage 1 is the raw instant impulse, Stage 2 is the first reactive smoothing, and Stage 3 is the fully committed signal.
Trend Confirmation Score: Each stage contributes +1 or -1 depending on its direction. A trend only confirms when all three stages agree (score of +3 or -3), filtering out momentum blips that fade before they cascade through.
Gradient Strength Visualization: The committed Stage 3 line and candle coloring use a gradient blend based on how strong the current agreement is across all three stages, giving an at-a-glance read on conviction.
Multi-Layer Plotting: Displays all three cascade stages simultaneously (thin instant line, mid-weight reactive line, and a glow-effect committed line) so you can see momentum building in real time, not just the final confirmation.
Candle Coloring: Optionally recolors chart candles using the same gradient logic as the oscillator, aligning price action visually with the cascade's current trend strength.
Customizable Visuals: Choose from 4 preset palettes — Classic, Mystic, Accented, Royal — or define your own custom bullish/bearish colors.
Built-In Signals: Automatically plots long/short labels on confirmed trend flips (when the score crosses into full +3 or -3 agreement).
How It Works
Momentum Calculation – Computes rate-of-change of price over the chosen length as the raw momentum impulse (Stage 1).
Cascade Smoothing – Passes that momentum through an EMA to produce Stage 2 (reactive), then smooths again to produce Stage 3 (committed).
Scoring – Assigns +1/-1 per stage based on sign, summing to a score between -3 and +3.
Trend Confirmation – A trend state only flips when the score reaches full agreement (+3 or -3), meaning all three stages point the same direction.
Signal Plotting – Trend flips are marked with long/short labels, and candle/line coloring reflects both direction and agreement strength via gradient.
Practical Use
Trend Confirmation – Use full cascade agreement (score of ±3) as confirmation that a momentum shift has enough follow-through to be tradeable, rather than acting on Stage 1 alone.
Early Warning – Watch Stage 1 and Stage 2 for early signs of a potential shift before the full cascade confirms, useful for anticipating entries.
Conviction Reading – Use the gradient strength on Stage 3 and candles to gauge how strongly the current trend is holding versus weakening.
Combine with Structure – Pair cascade confirmations with support/resistance or market structure levels for higher-quality entries.
Customization
Adjust Momentum Length and Stage Smoothing independently to tune responsiveness vs. lag.
Toggle signal labels and candle coloring on/off.
Pick a preset palette or define fully custom bullish/bearish colors.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals. Indicator
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.
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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. Strategy
MRB Cycle Oscillator Alpha**Overview**
The "MRB Cycle Oscillator Alpha" is a highly advanced, multi-dimensional momentum and trend-analysis tool. It is not just another MACD; it upgrades traditional momentum concepts by combining Triple Exponential Smoothing (TES), mathematically derived momentum "Cycle Candles," RSI-confluent Bollinger Bands, and an ADX/DMI-driven background. This provides traders with a unified dashboard for trend direction, momentum strength, and mean-reversion zones without cluttering the main chart.
**What makes it original? (Core Concepts)**
This script brings originality to the Community Scripts by fusing several independent mathematical concepts into a single cohesive oscillator:
1. **TES-MACD (Triple Exponential Smoothing):** Instead of standard EMAs, this indicator calculates the MACD utilizing a custom Triple Exponential Smoothing (TES) algorithm. This significantly reduces market noise and lag compared to a traditional MACD.
2. **Momentum Cycle Candles:** Instead of displaying a raw oscillator line, the script extracts the open, high, low, and close values directly from the TES-MACD's historical delta. It then applies a custom smoothing algorithm to generate "Cycle Candles." This unique transformation visualizes momentum shifts and trend persistence much more clearly than a standard line or histogram.
3. **RSI-Dynamic Bollinger Bands:** Bollinger Bands are applied directly to the oscillator (users can choose to base it on the MACD Line EMA or the Signal Line TES). Furthermore, the outer bands dynamically change color based on the traditional chart's RSI values (e.g., turning green when RSI is overbought, red when oversold). This provides a dual-confirmation for extreme conditions.
4. **ADX/DMI Background Matrix:** The indicator calculates ADX and ±DI in the background. If the ADX crosses a user-defined threshold, the chart background changes color based on the dominant DI (green for uptrends, red for downtrends). This acts as a macro-trend filter.
**How to use it**
* **Trend Confirmation:** Use the background color (driven by ADX/DMI) to filter your trades. Only look for long setups when the background is green, and short setups when red.
* **Momentum Shifts:** Watch the color and body of the Cycle Candles in the oscillator pane. A transition from red to green indicates a shift to bullish momentum.
* **Overextended Zones (Mean Reversion):** When the Cycle Candles pierce the outer Bollinger Bands, AND the bands themselves change color (triggered by RSI extremes), it signals a highly overextended market, warning of a potential reversal or pullback.
**Customization**
Every element is modular. Traders can disable the Cycle Candles view in favor of a standard line, toggle the Bollinger Bands, adjust the RSI thresholds for band coloring, and fine-tune the ADX/DMI periods for background filtering. Indicator
SMI + Bollinger Bands## SMI + Bollinger Bands
SMI + Bollinger Bands is an overlay indicator that projects the Stochastic Momentum Index directly into the price space defined by Bollinger Bands.
Traditional SMI indicators are displayed in a separate oscillator pane. This script instead transforms the SMI value into a price-relative flow line, allowing momentum, volatility, and price structure to be viewed together on the main chart.
### Core concept
The indicator calculates two related systems:
1. A standard Bollinger Band structure based on a configurable moving average and standard deviation.
2. A double-smoothed Stochastic Momentum Index calculated from the relationship between the closing price and its recent high-low range.
The SMI is then normalized using the selected SMI Threshold and projected around the Bollinger basis:
* An SMI value equal to the positive threshold aligns with the primary upper Bollinger Band.
* An SMI value equal to the negative threshold aligns with the primary lower Bollinger Band.
* Values between the thresholds appear inside the primary Bollinger range.
* Momentum exceeding the threshold can extend beyond the primary bands and into the optional extended-band zones.
This projection makes it possible to compare momentum behavior directly with current price and volatility rather than interpreting an oscillator in a separate pane.
### Plotted elements
**Bollinger basis**
The center line of the Bollinger structure. The moving-average type can be selected from SMA, EMA, SMMA/RMA, WMA, or VWMA.
**Primary Bollinger Bands**
The upper and lower volatility boundaries calculated from the selected standard-deviation multiplier.
**Extended Bollinger Bands**
Optional outer volatility zones using a separately configurable standard-deviation multiplier. These areas can help visualize unusually extended price or momentum conditions.
**SMI Flow**
The yellow line represents the projected Stochastic Momentum Index. Its position shows where momentum currently sits relative to the Bollinger structure.
**SMI Flow-Base**
The white line is an EMA-smoothed version of the projected SMI Flow. It provides a slower reference line that can be used to observe momentum direction, compression, expansion, and crossings.
### Inputs
**Bollinger Band settings**
* Length: Lookback period used for the Bollinger basis and standard deviation.
* Basis MA Type: Moving-average calculation used for the basis.
* Source: Price source used for the Bollinger calculations.
* StdDev: Multiplier used for the primary Bollinger Bands.
* Extended StdDev: Multiplier used for the optional outer bands.
* Use Extended Bands: Enables or disables the extended volatility zones.
**SMI settings**
* %K Length: Lookback period used to determine the recent high-low momentum range.
* %D Length: Double-EMA smoothing applied during the SMI calculation.
* EMA Length: Smoothing applied to the projected SMI Flow-Base line.
* SMI Threshold: Defines which positive and negative SMI values align with the primary upper and lower Bollinger Bands.
### General interpretation
The indicator is intended as a visual analysis framework rather than a standalone entry system.
Traders may use it to study:
* Momentum changes relative to volatility.
* SMI Flow and Flow-Base crossings.
* Momentum expansion beyond the primary bands.
* Momentum rejection from extended zones.
* Divergence between price movement and projected momentum.
* Compression around the Bollinger basis.
* Confluence with trend, structure, volume, support, resistance, or other analysis.
A movement outside a band does not automatically indicate a reversal. Strong trends can remain extended, and crossings can occur repeatedly during sideways or volatile conditions. Market context and risk management remain necessary.
### Calculation behavior
This script does not use future data, lookahead calculations, or higher-timeframe requests. Values on the active candle may continue changing as the candle’s high, low, and close update. Historical values are finalized after their respective candles close.
### Disclaimer
This indicator is provided for research, education, and chart analysis. It does not provide guaranteed trade signals, financial advice, or predictions of future market performance. Users are responsible for independently evaluating all trading decisions and managing their own risk.
Indicator
ATK/DEF KDJ Rewind ContextRewind KDJ Context is a visual KDJ analysis indicator designed to provide a clearer understanding of momentum structure through the relationship between the K, D, and J lines.
Traditional KDJ analysis often focuses on fixed overbough and oversol levels. This indicator expands the interpretation by analyzing the interaction between KDJ components, including line arrangement, directional changes, momentum development, and structural transitions.
The script transforms KDJ movement into different context states, helping users observe how momentum conditions develop, slow down, weaken, and recover over time.
Instead of treating K, D, and J as isolated values, Rewind KDJ Context focuses on the relationship between the three components and presents their current condition through a structured visual approach.
KDJ Context Framework
▶️ Momentum Push
Identifies conditions where K, D, and J show coordinated upward momentum development.
This context represents a phase where KDJ structure is aligned with increasing momentum activity and stronger directional movement.
⏸️ Momentum Pause
Highlights situations where momentum remains active but begins to slow or entr a temporary balance condition.
This state focuses on changes in momentum speed and the relationship between K, D, and J during a slowing phase.
⏪ Reversal Context
Highlights changes in KDJ structure where J-line movement and the relationship between K and D indicate a possible transition in short-term momentum conditions.
This context focuses on structural changes rather than predicting future pric direction.
⬇️ Weakness Context
Displays conditions where KDJ structure shows reduced momentum strength and weaker directional movement.
This state helps visualize when previous momentum conditions begin losing strength.
🔄 Recovery Context
Highlights situations where KDJ structure begins improving after a weaker phase.
This context observes changes in J-line behavior and KDJ alignment during potential momentum recovery conditions.
⚪ Neutral Context
Represents situations where K, D, and J do not form a strong directional structure and momentum remains relatively balanced.
Main Features
• Customizable KDJ calculation parameters
• Dynamic K, D, and J value visualization
• KDJ line relationship and structure analysis
• Momentum context classification
• Historical context table display
• Recent bar comparison
• Visual markers for important KDJ transitions
• KDJ arrangement monitoring
• Adjustable display range and historical reference position
How It Works
Rewind KDJ Context uses the traditional KDJ calculation method based on RSV, followed by smoothing calculations for the K and D lines.
The J line is derived from the relationship between K and D:
• K line represents the smoothed RSV movement
• D line represents the smoothed K line movement
• J line represents an extended momentum relationship between K and D
The indicator evaluates several aspects of KDJ behavior, including:
• Relative position between K, D, and J
• Directional movement of each component
• Changes in momentum expansion and contraction
• KDJ structural transitions
• Recent historical context
These calculations are organized into visual context states to make KDJ behavior easier to interpret.
Intended Use
Rewind KDJ Context is designed as a technical analysis tool for observing momentum conditions and KDJ structure.
It can be used together with price action analysis, trend evaluation, support and resistance analysis, volatility analysis, and other technical methods to build a broader market view.
The indicator is intended to provide additional context about momentum behavior rather than replace complete market analysis.
Notes
Rewind KDJ Context is based on mathemat calculations derived from historical pric data.
The displayed context states represent current and historical KDJ conditions based on the selected settings and market data available on the chart.
Different assets, timeframes, and market environments may produce different interpretations of the same indicator behavior.
Disclaimer
Rewind KDJ Context is provided for informational and technical analysis purposes only.
This indicator does not provide finacl advice, personalized recommendations, autm trading decisions, or guaranteed results.
The displayed KDJ context states, momentum conditions, and visual markers are generated from mathematical calculations and should not be interpreted as predictions of future pric movements.
Users are responsible for conducting their own analysis, making their own decisions, and applying appropriate risk management methods.
Past market behavior and technical indicator performance do not guaran future outcomes. Indicator
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.
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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. Strategy
Multi-Oscillator Divergence Scanner [Quantum Algo]Multi-Oscillator Divergence Scanner
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🔶 OVERVIEW
Multi-Oscillator Divergence Scanner is a confluence-based divergence indicator that scans up to seven classic oscillators simultaneously — Relative Strength Index, Moving Average Convergence Divergence, Stochastic Oscillator, Commodity Channel Index, On Balance Volume, Money Flow Index, and Momentum — and displays the result on two synchronized canvases at once. Divergence lines, graded labels, and reaction zones are drawn directly on the price chart, while a dedicated pane below plots a Composite Oscillator built from every enabled engine, with the same divergence lines mirrored onto the composite itself. You see both slopes of every divergence — price disagreeing with momentum — in one glance.
The problem this script solves is selective divergence trading. Any single oscillator produces frequent divergences, and most of them fail. Requiring multiple mathematically independent engines — momentum-based, volume-based, and volatility-normalized — to diverge at the same confirmed swing filters the noise down to setups where disagreement between price and participation is broad, not incidental.
🔶 WHAT IS A DIVERGENCE?
A divergence occurs when price prints a new extreme but an oscillator refuses to confirm it. A regular bullish divergence forms when price makes a lower low while the oscillator makes a higher low — a classic reversal condition. A regular bearish divergence forms when price makes a higher high while the oscillator makes a lower high. Hidden divergences are the continuation counterparts: price makes a higher low while the oscillator makes a lower low (hidden bullish), or price makes a lower high while the oscillator makes a higher high (hidden bearish). This scanner detects all four types on confirmed swing pivots.
🔶 WHAT IS THE COMPOSITE OSCILLATOR?
The Composite Oscillator is the consensus reading of every engine you enable. Bounded oscillators (Relative Strength Index, Stochastic, Money Flow Index) contribute their native zero-to-one-hundred values; unbounded engines (Moving Average Convergence Divergence histogram, On Balance Volume, Momentum) are range-normalized over a configurable lookback; the Commodity Channel Index is rescaled onto the same axis. The average of all enabled engines plots as a single gradient line with overbought and oversold guides, a midline fill, and divergence lines drawn directly on it — so the pane shows aggregate momentum from the same engines that vote on every signal, not a separate calculation.
🔶 WHY THIS SCRIPT IS ORIGINAL
1. True multi-engine confluence. Divergences are not detected on one oscillator and decorated with others. All seven engines are evaluated independently at every confirmed pivot, and a signal only exists when the minimum confluence count you set is reached.
2. Dual-canvas mirroring. Every qualified divergence is drawn twice: on price, and on the Composite Oscillator in the pane, connected at the same two pivots. Both slopes of the disagreement are visible simultaneously — the visual proof that defines a divergence.
3. Consensus composite pane. The pane line is not one more oscillator; it is the averaged, normalized voice of the exact engines doing the scanning, colored by a gradient between the oversold and overbought guides.
4. Full transparency on every label. Each signal prints its strength as a diamond meter and lists the exact oscillators that diverged (for example: RSI · OBV · MFI). You always know why a signal exists — nothing is a black box.
5. Strength-scaled visuals. Divergence lines thicken with confluence on both canvases, and signals reaching the Strong threshold upgrade to the accent color, so chart hierarchy communicates quality instantly.
6. Reaction zones with a life cycle. Every regular divergence projects a volatility-sized zone around its pivot (measured in Average True Range). Zones gray out automatically the moment price invalidates them, so the chart always distinguishes live zones from dead ones.
7. Divergence pressure gauge. A decaying pressure model accumulates bullish and bearish divergence weight over time, giving a one-glance read on which side has been stacking disagreement with price.
🔶 HOW IT WORKS
Pivot scanning: Swing highs and swing lows are confirmed with a symmetric pivot lookback. All divergence checks are evaluated on closed bars at pivot confirmation, so historical signals do not repaint. Confirmation lag equals the right-side pivot length by design.
Confluence evaluation: At each confirmed pivot, every enabled oscillator's value at that pivot is compared against its value at the previous same-side pivot. The four divergence types are tested independently per oscillator, and contributions are counted.
Signal grading: Signals meeting the Minimum Oscillator Confluence print with strength diamonds (one per contributing oscillator). Signals reaching the Strong Signal Threshold upgrade to the accent color and thicker geometry on both the price chart and the composite pane.
Composite rendering: The pane plots the consensus line with a gradient fill to the midline, dashed overbought and oversold guides, tinted extreme bands, triangle marks at divergence bars, and the mirrored divergence lines.
Reaction zones: Each regular divergence projects a box around its pivot sized by Average True Range, extended a configurable number of bars. A bullish zone grays out when price closes below it; a bearish zone grays out when price closes above it.
Dashboard: A fully themeable panel on the price chart shows the last signal, a live divergence pressure meter, and one row per engine with its live value — color-coded for overbought, oversold, or directional state — plus each engine's most recent divergence side. Text size (four steps), position, and every color (title band, background, frame, grid, header, body, muted) are adjustable.
Chart hygiene: The number of divergences kept is capped by input, on both canvases. Older lines, labels, and zones are deleted automatically, keeping the chart readable and the auto-scale anchored to current price.
🔶 HOW TO USE IT
1. Works on any market — cryptocurrency, forex, gold, indices, stocks, futures — and any timeframe. Higher timeframes produce fewer, larger-structure signals.
2. Start with Minimum Oscillator Confluence at 2 and the Strong threshold at 4. Raise the minimum to 3 for a strict, low-frequency reversal tool; lower it to 1 to study single-oscillator behavior.
3. Read the pane and the chart together: a valid signal shows price sloping one way and the composite sloping the other, connected at the same pivots.
4. Regular divergences are reversal-oriented: treat them as exhaustion evidence at swing extremes, strongest when the composite is also inside an overbought or oversold band.
5. Hidden divergences are continuation-oriented: treat them as trend re-entry evidence during pullbacks, and do not read them like reversal signals.
6. Use the reaction zone as the decision area: a live zone holding on retest supports the signal; a grayed zone means the divergence failed.
7. The pressure meter is context, not a trigger — persistent one-sided pressure alongside fresh strong signals is the highest-quality condition.
🔶 SETTINGS
- Pivot Left / Right Length — swing size; larger values scan bigger structures.
- Independent toggles and lengths for all seven oscillator engines.
- Composite pane: normalization lookback, overbought and oversold levels, pane marks, and mirrored divergence lines toggle.
- Regular and hidden divergence toggles, minimum confluence, strong threshold.
- Reaction zone height (Average True Range ratio) and extension.
- Divergences To Keep — caps historical drawings on both canvases for chart cleanliness and stable auto-scale.
- Dashboard with adjustable text size, position, live oscillator values, and full color theming.
- Full color customization for all chart drawings and pivot markers.
🔶 ALERTS
- Bullish Divergence / Bearish Divergence — a regular divergence met the confluence minimum.
- Hidden Bullish Divergence / Hidden Bearish Divergence — a continuation divergence met the minimum.
- Strong Divergence — a regular divergence reached the strong threshold.
🔶 FREQUENTLY ASKED QUESTIONS
Does the indicator repaint? No. Divergences are evaluated only on confirmed pivots at bar close. The trade-off is intentional confirmation lag equal to the right-side pivot length.
Why does a pane divergence line sometimes start slightly off the composite's visual peak? Divergence is measured at price structure points. The line connects the composite's values at the two confirmed price pivots, which is the correct comparison even when the composite made its own extreme a bar or two away.
Why do some obvious divergences not print? Either the confluence minimum was not reached, the oscillator involved is disabled, or the swing did not confirm as a pivot under the current lengths.
Which oscillators should I enable? The default set mixes momentum and volume perspectives, which is the point of confluence: independent evidence, not seven copies of the same math.
Is a Strong signal a guaranteed reversal? No. Strength counts agreement between engines; it is a transparency measure, not a probability of profit.
🔶 CREDITS
This script builds its scanning and composite engine on classic, public-domain oscillators, and gratefully credits their creators: the Relative Strength Index by J. Welles Wilder Jr. (1978), Moving Average Convergence Divergence by Gerald Appel, the Stochastic Oscillator popularized by George C. Lane, the Commodity Channel Index by Donald Lambert (1980), On Balance Volume by Joseph Granville (1963), and the Money Flow Index by Gene Quong and Avrum Soudack. All oscillator calculations use standard built-in formulas. Drawing divergence lines on an oscillator is a long-established charting convention popularized by many community authors, acknowledged here as shared prior art. The multi-engine confluence scanner, the consensus Composite Oscillator, the dual-canvas mirroring, transparency labeling, strength grading, reaction zone life cycle, pressure model, and all code in this script are original work — no third-party or open-source script code was reused.
🔶 LIMITATIONS
Divergence can persist or fail entirely during strong trends; regular divergences against a powerful trend are the weakest application. Volume-based engines (On Balance Volume, Money Flow Index) are less meaningful on symbols with unreliable volume reporting. The composite's normalized components depend on the normalization lookback. Pivot confirmation introduces intentional delay. No indicator replaces independent analysis.
🔶 DISCLAIMER
This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past behavior of any signal does not guarantee future results. Trading involves substantial risk. Always do your own research and manage risk independently.
Indicator
Zero-Lag MACD Divergence Pro Zero-Lag MACD Divergence Pro is a MACD-family oscillator that reduces the indicator's inherent lag using zero-lag exponential averaging, detects regular divergences directly inside the MACD pane, and optionally gates its buy/sell markers so they only appear when a divergence and a crossover confirm each other. It is designed for intraday timeframes but works on any chart.
What makes it original
This is not a standard MACD with cosmetic changes. Three elements work as one system: (1) all three components — fast line, slow line, and signal line — are rebuilt on zero-lag EMAs rather than standard EMAs, (2) divergence detection runs on the zero-lag MACD line itself and draws its lines and labels inside the oscillator pane, with an optional mirrored dashed line on the price chart, and (3) a combo-gating mode suppresses crossover markers unless a divergence was confirmed within a recent, user-defined window, which filters the many insignificant crossovers a MACD produces in ranging markets.
How it works
Zero-Lag Core: Each component uses the zero-lag EMA construction (2 × EMA − EMA of EMA), a public-domain technique attributed to John Ehlers' error-correction work. This roughly halves the effective lag of each average, so crossovers occur earlier than on a classic MACD. A faded classic MACD line can be displayed for side-by-side comparison and switched off in the settings.
Divergence Detection: Confirmed pivot highs/lows on the zero-lag MACD line are compared with price highs/lows at the same bars. A regular bullish divergence (price lower low, MACD higher low) or regular bearish divergence (price higher high, MACD lower high) draws a connecting line between the two MACD pivots with a label in the pane. Pivots confirm only after the lookback period elapses, so divergence lines appear with a delay by design and do not repaint.
Combo Signals: In the default mode, a buy/sell marker prints on the price chart only when a zero-lag crossover occurs while a same-direction divergence is still valid (within a user-defined number of bars). Turning combo mode off prints markers on every confirmed crossover instead. Signals respect a cooldown and a daily maximum.
Four-Color Histogram: The histogram distinguishes rising and fading momentum on both sides of the zero line.
Dashboard: A dark, movable panel (styled to stay readable on light-theme charts) summarizes MACD state, histogram direction, active divergence, zero-line position, and the day's signal count.
How to use it
Add the indicator to a lower-timeframe chart (5–15 min for intraday use). Watch for a divergence label in the pane, then wait for the crossover marker that confirms it — the combo mode automates exactly this sequence. The zero-line row on the dashboard helps grade signals: bullish setups above the zero line and bearish setups below it occur in the direction of the broader momentum. All lengths, the divergence window, signal limits, colors, and dashboard placement are adjustable.
Limitations
Divergence lines appear only after pivots confirm (default 5 bars), so they are visible later than the pivot itself; this is the unavoidable cost of non-repainting detection. Reduced lag also means the zero-lag lines are more sensitive than a classic MACD and can produce more crossovers in choppy conditions — the combo mode exists to filter these. This tool describes momentum conditions; it does not predict future price movement, and past behavior of any signal does not guarantee future results. Always combine with your own analysis and risk management. Indicator
Dynamic Buying and Selling Power (ADTM)
什么是 ADTM？
ADTM（Dynamic Buying and Selling Power Indicator，动态买卖气指标）是一种经典的动量与反转量化指标。它通过对比开盘价的跃升与下挫，精确量化开盘后多空双方的推进力度（即爆发力），并将这种力量对比归一化在 的固定区间内。
与传统单纯依赖收盘价（Close）的振荡指标不同，ADTM 更加关注 开盘价（Open）相对于前一交易日的位置以及当日极值（High/Low）的延伸空间 ，从而能够更敏锐地捕捉到市场资金的日内异动。
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为什么使用它？
在波诡云谲的市场中，单纯的均线或 lagging 指标容易产生钝化。ADTM 的优势在于：
无量纲化区间：其输出被严格限制在 之间，避免了绝对数值对趋势研判的干扰。
日内真实动能：通过计算买方动态能量（DTM）和卖方动态能量（DBM），能够更早地在左侧识别出多空力量的衰竭点。
极佳的反转提示：特别适合配合超买超卖边界进行逆势（反转）波段的卡点操作。
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怎么用？
本指标的使用逻辑非常直观，默认参数为经典配置： N = 23（求和周期），M = 8（信号均线周期）。
左侧买点（超卖区）：
当蓝色 ADTM 曲线跌破 -0.5 时，意味着市场短期内空头宣泄极快，进入超卖状态。这通常是极佳的左侧分批布局或观察止跌反转的买点。
左侧风险（超买区）：
当蓝色 ADTM 曲线突破 +0.5 时，意味着多头短期冲锋过急，进入超买状态。此时应防范多头力竭回撤，注意锁定利润或降低仓位。
中轴信号：
0轴为多空分界线。当 ADTM 在 0 轴上方运行时，多头占优；反之，空头占优。
均线交叉：
蓝色主线（ADTM）与橙色信号线（MA_ADTM）的黄金交叉与死亡交叉，可作为右侧动能确认的辅助信号。
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在哪里用？
本指标采用纯粹的价格几何结构算法，具有极强的普适性：
适用市场：广泛适用于 A 股、美股、加密货币、商品期货以及外汇等主流交易市场。
适用周期：在日线（Daily）及以上大周期中表现尤为稳定，能够有效过滤盘整期的日内噪音；在小周期（如 1H/4H）中，配合趋势背景亦可用于日内波段捕捉。
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原创与致谢声明
指标原创作者： 本指标的核心算法源自经典量化分析领域的经典设计。
脚本重构与发布： 由本人进行 Pine Script v6 的标准化重构、算法优化与开源发布。
风险提示： 任何技术指标都无法百分之百预测市场。建议将 ADTM 融入自身的交易系统中，结合量价结构、关键支撑阻力位以及严谨的资金管理共同使用。
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What is ADTM?
ADTM (Dynamic Buying and Selling Power Indicator) is a classic momentum and reversal quantification tool. It precisely quantifies the offensive strength (i.e., explosive power) of both bulls and bears after the market opens by comparing the upward jumps and downward drops of the opening price, and normalizes this power comparison within a fixed range of .
Unlike traditional oscillators that rely solely on the closing price (Close), ADTM places greater emphasis on the opening price (Open) relative to the previous trading day's position, as well as the extension space of the day's extremes (High/Low) , enabling it to more keenly capture intraday anomalies in market capital flow.
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Why Use It?
In volatile and unpredictable markets, simple moving averages or lagging indicators are prone to desensitization (flattening). The advantages of ADTM are:
Dimensionless interval: Its output is strictly confined within , eliminating the interference of absolute price levels on trend assessment.
Intraday true momentum: By calculating Dynamic Buying Momentum (DTM) and Dynamic Selling Momentum (DBM), it can identify exhaustion points of bullish/bearish power earlier on the left side.
Excellent reversal signals: Particularly well-suited for contrarian (reversal) swing trading by utilizing overbought/oversold boundaries.
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How to Use It?
The usage logic of this indicator is highly intuitive, with default parameters set to the classic configuration: N = 23 (Summation Period), M = 8 (Signal MA Period).
Left-side Buy Signal (Oversold Zone):
When the blue ADTM line drops below -0.5, it indicates that bearish forces have been excessively unleashed in the short term, entering an oversold state. This is typically an excellent opportunity for left-side accumulation or observing for a bullish reversal.
Left-side Risk Signal (Overbought Zone):
When the blue ADTM line rises above +0.5, it indicates that bullish forces have pushed too aggressively in the short term, entering an overbought state. At this point, one should be cautious of bullish exhaustion and pullbacks, and consider locking in profits or reducing positions.
Zero-Line Signal:
The 0.0 axis serves as the bull-bear dividing line. When ADTM is above 0, bulls are in control; when below 0, bears are in control.
Moving Average Crossover:
The golden cross and death cross between the blue main line (ADTM) and the orange signal line (MA_ADTM) can serve as auxiliary signals for right-side momentum confirmation.
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Where to Use It?
This indicator employs a pure geometric price-structure algorithm, offering strong universality:
Applicable Markets: Widely applicable to A-shares, U.S. stocks, cryptocurrencies, commodity futures, forex, and other major trading markets.
Applicable Timeframes: Performs particularly well on Daily and higher timeframes, effectively filtering out intraday noise during consolidation periods. On lower timeframes (e.g., 1H/4H), it can also be used for intraday swing trading when combined with the broader trend context.
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Acknowledgments & Originality Statement
Original Author: The core algorithm of this indicator originates from classic designs in the field of quantitative analysis.
Script Re-engineering & Release: This script has been fully refactored, optimized, and released as open-source by myself.
Risk Disclaimer: No technical indicator can predict the market with 100% accuracy. It is strongly recommended to integrate ADTM into your own trading system, combining it with volume-price structure, key support/resistance levels, and strict risk management practices. Indicator
ATK/DEF MACD Momentum Context InctorMACD Momentum Context is a momentum analysis indicator designed to help traders visualize MACD behavior, momentum changes, and market context through a structured dashboard.
This indicator focuses on analyzing the relationship between the MACD line, signal line, and histogram to provide a clearer view of momentum direction, momentum strength, and changes in market pressure.
Instead of displaying only traditional MACD values, this tool organizes multiple momentum conditions into an easy-to-read context view, allowing users to better understand how momentum is developing over time.
Features
📊 MACD Momentum Analysis
The indicator analyzes:
• MACD Line behavior
• Sign Line relationship
• Histogram direction
• Histogram expansion and contraction
• Momentum acceleration and slowdown
The histogram is evaluated based on its position and movement to help visualize whether momentum is increasing, weakening, or remaining balanced.
📈 Momentum Direction Context
The dashboard categorizes momentum conditions into different states:
• Bullish acceleration
• Bullish slowdown
• Bearish acceleration
• Bearish slowdown
• Sideways / balanced momentum
These states are based on MACD histogram behavior and are designed to help users quickly understand current momentum conditions.
🔥 Momentum Strength Measurement
The indicator compares current histogram strength with recent historical momentum range.
This helps visualize whether current momentum is:
• Moderate
• Strong
• Extreme
Strength classification is based on relative momentum expansion rather than fixed pric movement.
🔄 MACD Trend Context
The indicator evaluates the relationship between:
• MACD position above or below zero
• Histogram direction
• Sign line interaction
This creates a broader momentum context such as:
• Bullish momentum environment
• Bearish momentum environment
• Momentum transition area
• Neutral conditions
⚡ Momentum Change Tracking
The tool monitors changes in histogram behavior:
• Increasing momentum
• Decreasing momentum
• Stable momentum
This helps users observe whether current momentum is gaining strength or losing energy.
🔍 Divergence Observation
The indicator includes divergence detection based on price movement and MACD behavior.
It highlights situations where:
• Pric reaches a new high while MACD momentum does not confirm
• Pric reaches a new low while MACD momentum does not confirm
Divergence information is provided as a visual reference for studying momentum differences.
📋 Information Dashboard
The built-in table provides a structured overview of recent MACD conditions, including:
• Historical bar reference
• Momentum direction
• Momentum change
• Momentum strength
• MACD behavior
• Momentum edge
• MACD events and context
This allows users to review recent momentum development without manually interpreting multiple MACD components.
⚙️ Customization
Users can adjust:
• MACD fast length
• MACD slow length
• Sign length
• Number of bars displayed
• Table starting position
Different parameter settings can be used to study different market environments and timeframes.
Intended Use
MACD Momentum Context is designed as a market analysis and visualization tool.
It can be used to study:
• Momentum behavior
• Trend strength changes
• MACD structure
• Histogram development
• Potential momentum shifts
This indicator does not provide finan advice, trading recommendations, or guaranteed market outcomes. Users should combine this tool with their own analysis, risk management, and trading approach.
Notes
MACD Momentum Context is based on the traditional MACD concept with additional visualization and contextual analysis layers.
The indicator is intended to improve readability and understanding of momentum conditions by presenting multiple MACD measurements in a structured format. Indicator
Adaptive ATR Scalper - Instant & Lock VersionWelcome to Adaptive ATR Scalper, a robust, trend-following scalping strategy designed to capture quick momentum bursts while heavily filtering out noise during chop or post-target consolidation.
This strategy combines an ADX-Adaptive ATR trailing stop with a dual-timeframe dynamic (Main Trend + Fast Trigger) and introduces a unique Smart Lock Mechanism to prevent overtrading.
⚡ Key Features
ADX-Adaptive Multiplier
Most ATR-based indicators (like Supertrend) use a fixed multiplier, which fails when market regimes change. This strategy dynamically switches its ATR multiplier based on ADX.
When ADX is rising (strong trending environment), it uses a tighter multiplier (m1) to secure early entries.
When ADX is falling (weakening trend or chop), it automatically widens the multiplier (m2) to prevent getting chopped out.
Dual-Layer Trend Alignment
Main Trend (Thick Line): Acts as the major filter, keeping you on the right side of the macro direction.
Fast Trigger (Thin Line): Captures micro-swings.
An entry only occurs when both trends align in the same direction.
Smart Lock Mechanism (The Anti-Overtrading Shield)
A classic problem with scalping scripts is that after a successful TP (Take Profit) or SL (Stop Loss), the script immediately re-enters the same trend, often leading to losses.
How it works: As soon as a position closes, the strategy enters a Lock State (visualized by a grey background).
How it unlocks: It will not take another trade until either the Main Trend or the Fast Trigger changes direction. This ensures you only trade fresh momentum.
🛠️ Execution & Exit Rules
Entries: Triggered when Main Trend == Fast Trigger and the script is not locked.
Exits: The strategy utilizes a triple-exit matrix for maximum safety:
Dynamic Trend Exit: If the Fast Trigger reverses against the position, it exits immediately to preserve capital.
Fixed Stop Loss (SL): Percentage-based emergency stop.
Fixed Take Profit (TP): Percentage-based target to lock in gains.
📊 Recommended Settings & Assets
Assets: High-liquidity instruments (Crypto majors like BTC/ETH, Forex majors, or Index Futures like Nasdaq/SPY).
Timeframes: Designed primarily for 1m, 3m, 5m, and 15m charts.
Tip: Adjust the SL/TP percentages based on the volatility of your selected asset and timeframe.
Disclaimer: Backtest thoroughly before deploying live. Past performance does not guarantee future results. Strategy
BTC Trend-Momentum Strategy A rules-based long/short strategy designed specifically for Bitcoin, combining three complementary components:
Trend filter (EMA 200): Only trades in the direction of the prevailing trend — long above the EMA, short below it.
Volume confirmation (Chaikin Money Flow): Confirms that actual buying or selling pressure supports the trend direction before entering.
Momentum trigger (Stochastic RSI): Times entries when %K crosses back out of oversold/overbought territory, avoiding entries at momentum extremes.
Optional volatility filter (ATR vs. its moving average): Can restrict trading to periods of above-average volatility, filtering out low-volatility chop.
Risk disclosure: This strategy has no built-in stop-loss or take-profit. Positions are only closed by an opposing signal (a long signal closes an existing short and vice versa). This means an open position can theoretically run at a loss for an extended period before the opposite signal triggers. Traders should manage their own risk (position sizing, stops) independently when applying this on a live account.
Backtest settings used: Initial capital $1,000, 0.075% commission per trade, no slippage, 100% equity per trade, tested on BTC/USD from 2018 onward. Past performance does not guarantee future results.
This publication is for educational purposes only and does not constitute financial advice. Strategy
RTI Trend State + MacroCoverRTI Trend State + MacroCover
A trend-state oscillator built on the Relative Trend Index (RTI) — a stochastic-position measure of where price sits inside its recent high/low range, then EMA-smoothed:
raw = 100 * (close - lowest(low, n)) / (highest(high, n) - lowest(low, n))
RTI = EMA(raw, smooth) -> a 0-100 line
How the state works
The 0-100 RTI is converted into a persistent LONG / FLAT / SHORT state through a hysteresis band , so it does not flip on noise around the mid-line:
RTI above the upper band -> LONG
RTI below the lower band -> SHORT
in between -> holds the last state
The gap between the two bands is the hysteresis — widen it for fewer, steadier flips; narrow it for a more reactive read.
MacroCover (optional long bias)
When the state would be SHORT but price trades above a slow EMA (default 200), the short is covered to FLAT — i.e. it won't fight the higher-timeframe uptrend. Turn MacroCover off for a symmetric long/short reading.
On the chart
The RTI line (0-100) colored by state: green long, red short, gray flat.
Dashed upper/lower bands and a dotted mid-line.
State background tint and flip markers where the state changes.
A compact table with the current RTI value, state and macro side.
The RTI value plus state_-1_0_1 and ema_macro are available in the Data Window for tooltips and cross-checks.
Inputs
RTI engine — Lookback n (30), EMA smoothing (3), upper/lower bands (55 / 45).
MacroCover — on/off and macro EMA length (200).
Timeframe — use the chart timeframe, or lock the calculation to a fixed resolution.
Visual — toggle the state background, flip markers and table.
Notes
Works on any symbol and any timeframe.
Non-repainting : values are computed on confirmed bars, and the optional higher-timeframe request uses lookahead_off.
This is a discretionary / confluence tool, not financial advice or a complete trading system.
Indicator
ATK/DEF RSI Context idctorRSI Context is an advanced Relative Strength Index analysis tool designed to provide a deeper understanding of RSI behavior, momentum conditions, volatility changes, and market context through a structured visual dashboard.
Traditional RSI indicators mainly display a single RSI line with fixed overbought and oversold levels. RSI Context expands this concept by analyzing RSI from multiple perspectives, including RSI strength, movement direction, volatility range, historical behavior, and important RSI events.
This indicator focuses on helping users study how RSI behaves under different market conditions and provides additional context for interpreting momentum changes.
## RSI Core Analysis
The indicator calculates RSI based on the selected RSI period and analyzes its current position and behavior.
The RSI analysis includes:
• Current RSI value
• RSI movement direction
• RSI strength and weakness conditions
• RSI relationship with the 50 midpoint level
• Momentum acceleration and deceleration
• Overbought and oversold areas
The system categorizes RSI behavior into different states to provide a clearer visual understanding of current momentum conditions.
## Dynamic RSI Volatility Framework
Unlike fixed RSI interpretation alone, RSI Context includes a dynamic volatility framework based on RSI statistical behavior.
The indicator uses RSI volatility measurements to create adaptive reference areas:
• RSI standard deviation calculation
• Dynamic upper and lower RSI boundaries
• RSI volatility expansion detection
• RSI volatility contraction observation
• Abnormal RSI movement identification
These dynamic levels help users compare current RSI movement with its recent historical behavior.
## RSI Behavior Classification
The indicator evaluates different RSI conditions and classifies them into readable states, including:
• Strong upward RSI movement
• Weakening upward momentum
• Strong downward RSI movement
• Recovery and rebound conditions
• Overboug conditions
• Oversod conditions
• Neutral and flat RSI conditions
This classification provides additional context beyond simply reading RSI valu.
## RSI Midpoint Analysis
The RSI 50 level is included as an important momentum reference area.
The indicator observes:
• Movement above the 50 level
• Movement below the 50 level
• Cross events around the midpoint
• Changes in RSI momentum direction
This helps users study transitions in RSI positioning and changes in momentum structure.
## RSI Event Detection
RSI Context automatically identifies several RSI-related events:
• RSI crossing above 50
• RSI crossing below 50
• Potential bullish divergence observation
• Potential bearish divergence observation
Detected events are displayed visually on the RSI panel for easier historical review.
The event system is designed as an analytical reference to highlight changes in RSI behavior.
## Divergence Analysis
The indicator includes price and RSI comparison logic to observe possible momentum differences.
The divergence module monitors situations where:
• Prce reaches a new recent high while RSI shows reduced strength
• Prce reaches a new recent low while RSI shows stronger RSI behavior
These observations help users study the relationship between prce movement and momentum changes.
## Historical RSI Context Table
The integrated dashboard provides recent RSI information in a structured table format.
The table includes:
• Recent bar references
• RSI values
• RSI behavior classification
• Dynamic RSI upper range
• RSI midpoint reference
• Dynamic RSI lower range
• Detected RSI events
• Context interpretation
This allows users to compare recent RSI development instead of focusing only on the current RSI reading.
## Visual RSI Dashboard
The indicator provides a complete RSI information panel containing:
• Main RSI line
• Dynamic RSI volatility bands
• 70 / 30 reference levels
• RSI 50 midpoint reference
• RSI event labels
• Historical RSI comparison table
The visual design helps users quickly review RSI structure and momentum information directly from the chart.
## Designed For
RSI Context is designed for users who study:
• RSI behavior
• Momentum analysis
• Technical analysis concepts
• Market condition observation
• Indicator research
• Price and momentum relationships
This tool can be used as part of a broader chart analysis process together with other forms of market evaluation.
## Usage Philosophy
RSI Context focuses on observation and analysis rather than automated decision-making.
The indicator presents RSI information in a structured format so users can independently interpret momentum conditions and market context.
It is designed to support learning, research, and visual analysis of RSI behavior.
## Important Notes
RSI Context is an analytical and educational indicator.
It does not provide guaranteed outcomes, financial advice, or automated trading decisions.
Users should apply their own analysis methods, timeframe selection, and risk management practices when interpreting market information.
The indicator is intended to improve understanding of RSI behavior and provide additional context for technical analysis studies.
Indicator
True RSITrue RSI | MisinkoMaster
The True RSI is a sophisticated reimagining of classical momentum. While the standard Relative Strength Index has served as a cornerstone of technical analysis for decades, it possesses a fundamental limitation: it treats all price movements equally, regardless of the time elapsed since the market made its last major peak or trough. The True RSI solves this structural blind spot by merging price magnitude with temporal trend strength, weighting gains and losses according to their cyclical maturity.
By dynamically scaling price changes against the time-distance of local extremes, this indicator filters out lateral market noise, reduces false overbought and oversold readings during strong trends, and delivers highly responsive execution signals.
How It Works (The Core Architecture)
Instead of relying solely on arithmetic averages of upward and downward price closes, True RSI filters raw market data through a multi-dimensional momentum matrix:
Temporal Trend Weighting: The algorithm continuously tracks how recently the market has formed local highs and lows. Gains are mathematically weighted against the strength of the upward cycle, while losses are weighted against the strength of the downward cycle.
Cycle-Weighted Ratio: The accumulated, time-weighted gains and losses are calculated over your lookback period to establish a true relative strength ratio. If gains occur during an actively surging upward cycle, they are heavily amplified; if they occur during a dying trend, they are heavily discounted.
Smoothing and Normalization: This ratio is translated into a normalized scale bounded between 0 and 100, providing an incredibly smooth yet responsive oscillator curve alongside a secondary momentum velocity histogram.
Key Features
Time-Weighted Velocity: True RSI prevents premature exhaustion signals during strong, healthy trends because it understands the cyclical age of the current market move.
On-Chart Candle Morphing: The system automatically tracks the oscillator state and alters the colors of your main price bars to keep you visually aligned with the macro trend.
Overlay Execution Labels: Prints pristine Long and Short labels directly on your price pane the moment the underlying structural momentum shifts past your designated thresholds.
Internal Divergence Histogram: Built directly behind the main oscillator is a custom acceleration histogram that monitors the rate of change of the index, pinpointing hidden momentum shifts before they reflect in the price.
Input Parameters & Optimization Guide
Lookback Period: Controls the baseline window for both the cycle-strength calculations and the price change evaluations. A default of 21 bars balances macro trend stability with immediate short-term utility.
Long / Short Thresholds: The structural boundaries that dictate trend shifts. By default, crossing above 50 signals a bullish regime, while dropping below 50 initiates a bearish regime.
Overbought / Oversold Thresholds: Tailored extremes designed to isolate true premium and discount zones. The default 80 and 20 boundaries act as high-probability mean-reversion targets.
Trading Strategies & Execution
Trend Regime Shift
When momentum builds structural backing, the indicator updates its trend state:
A crossing of the True RSI above the Long Threshold triggers a green Long label on the chart, changing candle colors to vibrant green.
A crossing of the True RSI below the Short Threshold triggers a pink Short label, shifting candle colors to pink.
Exhaustion Reversals
Because price movement is weighted against cycle time, entering the overbought (80) or oversold (20) zones represents a market that is genuinely overstretched both in terms of price velocity and time. Reversals from these zones carry high statistical significance for counter-trend scalps or trailing-stop targets.
Acceleration Divergences
Watch the central histogram centered around the 50 line. When the price is grinding flat but the histogram starts to rise or fall aggressively, it shows that the internal speed of the True RSI is accelerating. This hidden momentum often foreshadows explosive breakout expansions.
Disclaimer: Trading financial markets involves high risk. This technical script is designed as an informational analytical tool to support your rule-based mechanical execution system and does not constitute financial advice. Indicator
DMI DI Gap by ByblloDMI DI Gap by Bybllo
This indicator plots the gap (difference) between the DI+ and DI- lines of the Directional Movement Index (DMI). Instead of visually comparing two separate DI+ / DI- lines to spot a crossover, the difference (DI+ minus DI-) is calculated directly and plotted as a single line around a zero baseline.
A cross above the zero line signals a shift toward bullish momentum, while a cross below the zero line signals a shift toward bearish momentum — each crossing is automatically marked with a buy or sell arrow, so there is no need to eyeball where the two DI lines intersect.
Key Features
A single "DI Gap" line (DI+ minus DI-) replaces the need to watch two overlapping DI+ / DI- lines and spot their crossovers by eye.
Zero-line crossover / crossunder is detected automatically and marked with buy (upward) and sell (downward) triangle arrows, offset a configurable distance from the zero line.
An optional ADX line, rescaled from its native 0–100 range to a custom min/max range, can be overlaid to gauge trend strength alongside the directional gap.
A filled cloud area between the gap line and the zero line is colored according to whether the current gap is positive or negative.
+25 / -25 dotted reference lines help gauge how strong the current directional imbalance is.
Real-price calculation via request.security() ensures values stay consistent regardless of chart type (Heikin Ashi, Renko, etc.).
How to Use
When the DI Gap line crosses above zero, a buy arrow appears below the zero line, indicating directional momentum has turned bullish (DI+ has overtaken DI-).
When the DI Gap line crosses below zero, a sell arrow appears above the zero line, indicating directional momentum has turned bearish (DI- has overtaken DI+).
Use the optional rescaled ADX line to check whether the broader trend has enough strength to support the signal before acting on it.
The +25 / -25 dotted lines can be used as a rough guide for how pronounced the current directional imbalance is.
Notes
The rescaled ADX line is for visual reference only; it does not represent the standard 0–100 ADX scale unless the scale inputs are set to 0 and 100.
Works consistently across chart types since real market price data is always pulled via request.security(), regardless of the chart type currently displayed. Indicator
KNN Adaptive Cycles█ OVERVIEW
An adaptive Stochastic RSI whose lookback lengths are driven by the market's measured dominant cycle period, further refined in real time by a K-Nearest Neighbors machine learning layer. Rather than accepting a fixed RSI or Stochastic length, the indicator continuously measures the dominant cycle in price using two independent spectral methods, then uses KNN to anticipate where the cycle is heading and to condition the oscillator output against historical outcomes — so the indicator adapts to what the market is actually doing, not what a static setting assumes it should be.
█ CYCLE DETECTION
The indicator measures the dominant cycle period using two independent methods from the digital signal processing work of John Ehlers, who treated price as a waveform and applied engineering filters to extract its underlying structure.
Autocorrelation Periodogram
Computes Pearson correlation across lags from the minimum to maximum period range, identifying the lag at which price most strongly repeats. Returns a correlation coefficient used directly as a confidence score.
Goertzel / DFT Power Spectrum
A frequency-domain scan that computes spectral power at each candidate period and selects the one carrying the most energy. Independent of the autocorrelation method, giving two mathematically distinct perspectives on the same cycle.
Before measurement, price is conditioned with Ehlers' filter set: a Highpass filter to remove the trend component, a Super Smoother for anti-aliasing, and an optional Bandpass pre-filter to isolate the cycle band. In AC + DFT (Confirmed) mode the two estimates are cross-checked, with each method weighted by its agreement strength and the AC correlation coefficient before blending into a single confirmed period. Single-method modes run the selected method at full per-bar resolution.
█ KNN MACHINE LEARNING
Two independent KNN nearest-neighbor routines operate on top of the cycle and signal layers. Both use weighted Euclidean distance across feature vectors, a 1/distance-weighted outcome average across K neighbors, and ALMA smoothing on the output bias.
Period KNN
Searches history for bars whose cycle state most closely resembles the current bar — matching on current period, rate of change, stability streak, confidence score, and volatility regime. Observes what the period actually became Forward Bars later at each neighbor, then blends that prediction into the current period estimate before final smoothing. Helps the indicator anticipate cycle transitions rather than just react to them.
Signal KNN
Searches history for bars whose StochRSI context most closely resembles now — matching on K level, K−D histogram, K slope, volatility regime, OB/OS proximity, and D line. Observes the forward price outcome at each neighbor and blends the resulting bias into the K line before D smoothing, so D inherits the correction naturally.
█ FEATURES
Cycle detection
• Dual spectral cycle detection — AC and DFT run in parallel with a 0–100% confidence score reflecting method agreement
• Confidence-weighted period blending — each method weighted by agreement and correlation strength, smoothed into one adaptive period
• Single-method modes — Optional select Autocorrelation Only or DFT Only run for faster loading
• Optional Performance Throttle — cadence-limited spectral scans for the AC + DFT mode
KNN layer
• Period KNN — anticipates cycle transitions by learning from historical cycle states and their forward outcomes
• Signal KNN — conditions the K line against historically similar StochRSI contexts and their forward price outcomes
• Per-feature importance weights for both KNN routines — tunable to emphasize what matters most on a given instrument
• ALMA-smoothed bias output — configurable length, offset, and sigma Indicator
Percentile Context [RC Tools]RC Tools — Percentile Context
─────────────────────────────────────────────────────────────
█ OVERVIEW
Not "is RSI over 70" — "where does today's reading actually sit in its own history?" This tool takes a metric of your choice (realised volatility, RSI, volume, rate of change, or any custom source you plug in) and ranks it as a percentile against its own trailing distribution. It's the statistical primitive underneath most technical analysis, made explicit instead of buried in a fixed threshold.
█ WHAT IT DOES
Plots a 0–100 percentile-rank line for the selected metric, flags "extreme" zones (default: below the 10th percentile or above the 90th), and shows a stats table with the current value, current percentile, all-time min/max seen on the chart, and how many bars it's been since the metric last hit either extreme.
█ THE THEORY BEHIND IT
Fixed thresholds ("RSI > 70 = overbought") assume a metric's meaningful range never changes. It does — across assets, and across time on the same asset. A percentile rank fixes this by asking a relative question instead of an absolute one: given everything this metric has done over its own trailing window, how unusual is today's reading? This is the same idea underneath the Regime Classifier's volatility-state measure, generalised to any metric.
█ HOW IT IS CALCULATED
The selected metric is computed per bar:
• Realised Volatility: stdev(log(close/close ), N)
• RSI: standard Wilder RSI
• Volume: raw bar volume
• Rate of Change %: (close − close ) / close × 100
• Custom Source: whatever series you plug into the source input (e.g. another indicator's plot)
The metric is then percentile-ranked against its own trailing window (default 750 bars ≈ 3 years on daily): what percentage of the last N readings were below today's value. Display values update ONLY on confirmed bar close — nothing here repaints.
█ SETTINGS & CONFIGURATION
• Metric (default Realised Volatility) — what gets ranked
• Custom Source — only used when Metric = Custom Source
• Realised Volatility / RSI / Rate of Change lookbacks (defaults 20 / 14 / 20)
• Percentile Ranking Window (default 750 bars) — longer = more stable, needs more history
• Low / High Extreme Thresholds (default 10 / 90)
• Paint Main Chart Background — off by default to avoid clashing with the Regime Classifier's background if you run both at once
█ HOW TO USE IT
Use it to calibrate how seriously to take a "normal" indicator reading. Example: RSI at 75 means something different on a stock that's rarely above 60 than on one that regularly touches 85 — the percentile rank makes that comparison explicit for the SAME asset over time. Also useful for volatility context ahead of position sizing: current realised vol at the 95th percentile is a different risk environment than the same absolute vol reading at the 40th percentile.
Works on any asset and timeframe with sufficient history for the percentile window.
█ LIMITATIONS
• Percentile rank describes the past relative to itself — it says nothing about direction or what happens next. A metric at its 99th percentile can stay there.
• Needs substantial history for a stable ranking. On short-history assets, treat the percentile as unreliable.
• "Extreme" is relative to the metric's OWN range. A percentile extreme on a low-volatility asset is not directly comparable in absolute terms to one on a high-volatility asset — that's the point of the tool, but it means percentiles aren't comparable across symbols.
• All-time min/max and "bars since" stats are only as long as the chart's available history, not a fixed universal record.
• This script does NOT repaint. Display values update on confirmed bar close only.
█ DISCLAIMER
For educational and informational purposes only. Nothing here is financial advice. Past behaviour of any metric does not indicate future results. Trade at your own risk.
Indicator
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.
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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. Strategy
MTF StochRSI AlignmentMulti-Timeframe StochRSI Alignment
This indicator monitors the Stochastic RSI across three user-defined timeframes simultaneously and alerts you when they all align in the same direction — a classic sign of a strong, multi-timeframe overbought or oversold condition.
How it works
The script calculates Stochastic RSI independently on each of the three selected timeframes (default: 1-minute, 15-minute, and 1-hour) rather than approximating it from the chart timeframe. Each timeframe is then classified as:
- OB — Overbought (K ≥ 80, adjustable)
- OS — Oversold (K ≤ 20, adjustable)
- N — Neutral (in between)
A clean table in the corner of your chart displays all three timeframes and their current status at a glance, along with an overall **Signal** row:
- All three Overbought → SELL (box shades red)
- All three Oversold → BUY (box shades green)
- Mixed → WAIT (neutral shading)
Features
- Fully customizable timeframes — not locked to 1m/15m/1h, set any three you like
- Adjustable RSI length, Stochastic length, K/D smoothing, and OB/OS thresholds
- Configurable table position (all four corners) and text size
- Built-in alert conditions for both aligned Buy and aligned Sell signals, so you don't have to watch the chart
How to use it
This tool is designed to help you spot moments where short-term, medium-term, and longer-term momentum are all stretched in the same direction — often a precursor to a pullback or reversal. It works well as a confluence filter alongside your existing entry/exit strategy, rather than as a standalone signal generator.
Note: Multi-timeframe indicators reference higher-timeframe data that can update intra-bar. Signals on the lowest configured timeframe are most reliable once that candle has closed. This script is for informational purposes only and does not constitute financial advice — always combine it with your own risk management and analysis.
Indicator
RS Rating (Relative Strength) - Clean Table UIThis indicator calculates the Relative Strength (RS) Rating of a stock compared to the S&P 500 (SPY) and displays it as a clean, simple numerical value in a customizable table on your chart.
Unlike many complex swing data indicators that clutter your screen with moving averages, background colors, and multiple data points, this script is specifically designed for minimalist traders, day traders, and scalpers who only need to see the core RS Rating score at a single glance.
How It Works:
Core Calculation: It uses the standard weighted formula for 1-year performance (40% for the most recent quarter, and 20% for each of the previous three quarters) compared against the S&P 500 benchmark.
Percentile Ranking (1-99): Using market environment seed data, the raw score is converted into a true 1 to 99 percentile ranking. For example, an RS Rating of 85 means the stock is currently outperforming 85% of the overall market.
Color-Coded Signals: The numerical value automatically changes color based on the stock's momentum:
Green (>= 80): Strong market leader.
Red (<= 40): Weak laggard.
Custom/White: Neutral performance.
Features:
Zero Chart Clutter: No lines or shapes plotted over your candles. Just a single, elegant table.
Fully Customizable: You can easily change the table's position (Top/Bottom, Left/Right) and text size (Normal, Large, Huge) directly from the indicator settings to fit your exact workspace layout.
(Credits to the original open-source community and Fred6724 for the percentile mapping seed function utilized to power this clean UI version). Indicator
Elaris Market Energy [Professional]Elaris Market Energy
Overview
Elaris Market Energy is a multi-factor oscillator designed to evaluate the strength, direction, participation, and sustainability of market movement.
Rather than relying on a single momentum calculation, the indicator combines several independent market characteristics into one normalized energy score. The goal is to help traders distinguish between weak price movement, developing participation, strong directional expansion, compression, and potential exhaustion.
The Market Energy score is displayed in a separate oscillator panel and generally ranges from -100 to +100.
* Positive values represent bullish market energy.
* Negative values represent bearish market energy.
* Values near zero represent neutral conditions, weak participation, or market compression.
This indicator is intended to support market analysis and confirmation. It is not presented as a complete trading system and does not guarantee future price movement.
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Core Market Energy Model
The final Market Energy score is calculated from six configurable components.
Price Impulse
Measures directional price displacement relative to current market volatility.
This helps distinguish meaningful movement from ordinary price fluctuations.
Candle Conviction
Evaluates the structure of the current candle using:
* Candle body size
* Closing position inside the candle range
* Upper and lower wick balance
* Bullish or bearish candle direction
A strong directional candle generally contributes more energy than an indecisive candle.
Volume Participation
Compares current volume with its recent average and evaluates whether market participation supports the current directional move.
On symbols where volume data is unavailable or limited, the volume component may provide less information.
Range Expansion
Measures whether the current true range is expanding relative to recent market activity.
Range expansion can help identify periods where volatility and directional participation are increasing together.
Trend Alignment
Evaluates:
* Price position relative to an internal trend average
* Direction and slope of the trend average
* Alignment between current movement and broader market direction
This component helps reduce the influence of momentum that is moving against the prevailing trend structure.
Momentum Efficiency
Combines directional momentum with movement efficiency.
Movement efficiency compares the net price displacement with the total distance traveled. Cleaner directional movement generally produces a stronger reading than unstable or highly overlapping price action.
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Directional Movement Confirmation
The indicator also uses Directional Movement Index information.
The relationship between positive and negative directional movement helps confirm whether bullish or bearish pressure is dominant.
ADX is used as a supporting measurement of trend strength. It does not independently determine the Market Energy score and is applied as a controlled confirmation component.
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Market Regimes
The indicator classifies market conditions into several practical regimes.
Compression
Market Energy remains close to zero, suggesting limited directional participation or reduced momentum.
Compression can occur during consolidation, low volatility, or periods of market indecision.
Bullish or Bearish Energy
Directional participation is developing, but the movement has not yet reached the strong-energy threshold.
Strong Bullish or Bearish Energy
Multiple components are aligned and directional participation has increased.
These conditions may support continuation analysis when confirmed by price structure.
Extreme Energy
The oscillator has reached an unusually strong directional reading.
Extreme energy can represent:
* Strong continuation
* Rapid volatility expansion
* Late-stage momentum
* A condition that may eventually transition into exhaustion
An extreme reading should not automatically be interpreted as a reversal signal.
Fading Energy
Directional energy remains elevated but is beginning to weaken.
Fading energy may indicate reduced participation, consolidation, or potential exhaustion. Price confirmation remains important.
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Signal Types
Bullish Energy Entry
A bullish signal may appear when:
* Market Energy crosses above the selected entry threshold
* Energy is above its signal line
* Energy acceleration is positive
* Enabled trend and directional filters are satisfied
* Optional volume and candle-quality filters are satisfied
Bearish Energy Entry
A bearish signal uses the opposite conditions:
* Market Energy crosses below the negative entry threshold
* Energy is below its signal line
* Energy acceleration is negative
* Enabled bearish filters are satisfied
Compression Release
Compression-release markers identify a transition from low-energy conditions into directional expansion.
These signals are intended to highlight developing volatility and participation after a compressed market phase.
Energy Exhaustion
Exhaustion markers identify situations where:
* Energy recently reached an extreme level
* The energy score begins to decline
* Energy acceleration turns against the previous direction
* Price begins showing an opposing reaction
Exhaustion markers are warnings of weakening momentum. They do not confirm a complete trend reversal on their own.
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Visual Elements
Energy Histogram
The histogram displays both direction and intensity.
* Bullish columns represent positive energy.
* Bearish columns represent negative energy.
* Stronger opacity represents increasing directional intensity.
* Faded columns indicate weakening energy.
Energy Line
The main line shows the smoothed composite Market Energy score.
Signal Line
The signal line provides a slower reference for identifying changes in short-term energy direction.
Energy Cloud
The cloud between the Energy line and Signal line provides a quick visual representation of bullish or bearish energy alignment.
Regime Background
Optional background shading highlights:
* Strong bullish conditions
* Strong bearish conditions
* Market compression
Dashboard
The optional dashboard summarizes:
* Current Market Energy score
* Current market regime
* Energy acceleration
* Relative volume
* ADX
* Price impulse
* Candle conviction
* Volume pressure
* Range expansion
* Trend alignment
* Momentum efficiency
* Signal confirmation mode
The dashboard is intended to provide a quick overview without requiring the trader to interpret each internal calculation separately.
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Calculation Profiles
Fast
Uses shorter internal calculation lengths.
This profile reacts more quickly but may also produce more frequent changes and additional noise.
It may be suitable for lower-timeframe analysis when combined with strict filters.
Balanced
Provides a middle ground between responsiveness and stability.
This is the default profile and is suitable as a general starting point.
Conservative
Uses longer calculation lengths.
This profile produces slower and generally more stable readings, which may be useful on higher timeframes or when fewer signals are preferred.
---
Suggested Usage
The indicator can be used for several types of market analysis.
Trend Confirmation
Bullish price structure combined with positive and increasing Market Energy may support bullish continuation analysis.
Bearish price structure combined with negative and decreasing Market Energy may support bearish continuation analysis.
Breakout Confirmation
A breakout accompanied by:
* Range expansion
* Increased relative volume
* Strong impulse
* Rising Market Energy
may have greater participation than a breakout occurring during weak or compressed energy.
Pullback Analysis
During a broader trend, temporary energy weakness followed by renewed directional acceleration may help identify continuation conditions.
Compression Monitoring
Low absolute Market Energy can help identify markets that are consolidating or losing directional participation.
A later compression release may highlight the start of renewed expansion.
Exhaustion Monitoring
Extreme energy followed by weakening acceleration may help traders identify when a mature move is losing participation.
This should be combined with price structure, support and resistance, liquidity levels, or other confirmation methods.
---
Recommended Starting Settings
For lower timeframes, traders may consider:
* Fast or Balanced profile
* Higher entry threshold
* Volume filter enabled
* Candle-quality filter enabled
* Candle-close confirmation enabled
For medium timeframes, the Balanced profile and default settings provide a practical starting point.
For higher timeframes, the Conservative profile may provide smoother regime identification and fewer short-term fluctuations.
Settings should be adjusted based on the symbol, timeframe, liquidity, and trading approach.
---
Alerts
The script includes alert conditions for:
* Bullish Energy Entry
* Bearish Energy Entry
* Bullish Compression Release
* Bearish Compression Release
* Bullish Energy Exhaustion
* Bearish Energy Exhaustion
* Strong Bullish Regime
* Strong Bearish Regime
* Energy Compression
For stable alerts, enabling candle-close confirmation and selecting “Once Per Bar Close” when creating the PulseWire alert is recommended.
---
Repainting Information
Elaris Market Energy does not use future data, lookahead logic, or future-confirmed pivot calculations.
The indicator does not repaint historical closed-bar signals when candle-close confirmation is enabled.
The live Market Energy value may change while the current candle is still forming because price, volume, candle range, and volatility are still changing.
When “Confirm Signals On Candle Close” is enabled, signals are only confirmed after the candle closes.
When this setting is disabled, signals may appear during an open candle and may disappear before that candle closes.
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Important Notes
This indicator is a technical analysis tool and should not be interpreted as financial advice.
Market Energy measures current and historical market conditions. It does not predict future results with certainty.
Signal performance can vary significantly across:
* Symbols
* Asset classes
* Timeframes
* Volatility conditions
* Liquidity environments
* Trending and ranging markets
Traders should use appropriate risk management and independently evaluate all trading decisions.
Indicator
Momentum Consensus Heatmap [StrixEDGE]█ MOMENTUM CONSENSUS HEATMAP
A multi-timeframe momentum aggregation system that scans 6 oscillators across 4 customizable timeframes and fires high-conviction BUY/SHORT signals only when a critical mass of indicators reach overbought or oversold consensus simultaneously.
█ CONCEPT
Most momentum-based strategies rely on a single oscillator on a single timeframe — a setup prone to false signals and noise. This indicator solves that by requiring cross-timeframe and cross-indicator agreement before generating a signal.
The core logic works in two layers:
Layer 1 — Timeframe Consensus (per indicator):
Each oscillator is evaluated across 4 timeframes (default: 15m, 1H, 4H, 1D). An indicator only qualifies as "Overbought" or "Oversold" when at least 3 out of 4 timeframes agree (configurable: 2/4, 3/4, or 4/4).
Layer 2 — Indicator Consensus (overall signal):
A chart signal fires only when a user-defined number of indicators (default: 4 out of 6) have all independently reached Layer 1 consensus in the same direction.
This dual-filter architecture dramatically reduces noise and isolates moments of genuine, broad-based momentum exhaustion.
█ OSCILLATORS USED
• RSI (Relative Strength Index) — Classic momentum oscillator measuring speed and magnitude of price changes. Default OB/OS: 70/30.
• Stochastic RSI — Stochastic formula applied to RSI values, more sensitive to short-term momentum shifts than raw RSI. Default OB/OS: 80/20.
• Stochastic Oscillator — Compares closing price to the high-low range over a lookback period. Independent from Stoch RSI. Default OB/OS: 80/20.
• CCI (Commodity Channel Index) — Measures deviation from the statistical mean. Unbounded, making it useful for detecting extreme momentum. Default OB/OS: +100/−100.
• Williams %R — Reflects where the current close sits relative to the highest high. Inverted scale (−100 to 0). Default OB/OS: −20/−80.
• MFI (Money Flow Index) — Volume-weighted RSI. Adds a volume confirmation dimension that pure price-based oscillators lack. Default OB/OS: 80/20.
█ HEATMAP TABLE
The on-chart heatmap table provides a real-time dashboard of all 24 data points (6 indicators × 4 timeframes):
• Each cell shows the live oscillator value with color-coded background:
🔴 Red = Overbought zone
🟢 Green = Oversold zone
⚫ Gray = Neutral
• SCORE column shows how many timeframes agree for each indicator (e.g., "3/4 OB").
• SIGNAL column shows whether that individual indicator has reached consensus ("SHORT ▼" / "BUY ▲" / "—").
• CONSENSUS row at the bottom shows the overall verdict with a percentage score of indicator agreement.
Table position and text size are fully customizable through the settings panel.
█ CHART SIGNALS
When the overall consensus threshold is met:
▲ Green triangle below bar = BUY signal (oversold consensus)
▼ Red triangle above bar = SHORT signal (overbought consensus)
Signals fire only on the first bar of a new consensus event (no repeated signals while conditions persist). A subtle background color flash highlights the signal bar.
█ OPTIONAL TREND FILTER (EMA)
When enabled, signals are filtered by an EMA trend bias:
• BUY signals require price above the EMA (buying in an uptrend)
• SHORT signals require price below the EMA (shorting in a downtrend)
This is disabled by default to keep the indicator pure momentum-based, but can significantly improve signal quality in trending markets.
█ SETTINGS OVERVIEW
⏱ Timeframes — All 4 timeframes are independently configurable.
⚙ Indicator Lengths — Full control over each oscillator's lookback period.
📊 OB/OS Thresholds — Adjust overbought/oversold levels for every oscillator independently.
🎯 Signal Rules:
• Min TF Consensus: How many timeframes must agree per indicator (2-4, default 3).
• Min Indicators: How many indicators must reach consensus for a chart signal (1-6, default 4).
🎨 Table Appearance — Position, size, and full color customization (OB color, OS color, neutral, header, text).
🔔 Alerts — Native PulseWire alerts with detailed messages including ticker, timeframe, and consensus count.
█ HOW TO USE
1. Apply the indicator to any chart (works on all instruments and timeframes).
2. The heatmap table updates in real time — use it as a momentum dashboard.
3. Watch for chart signals:
• When 4+ indicators show oversold consensus across 3+ timeframes → BUY signal.
• When 4+ indicators show overbought consensus across 3+ timeframes → SHORT signal.
4. Set up PulseWire alerts to get notified when signals fire.
5. For higher conviction:
• Increase "Min Indicators" to 5 or 6 (fewer but stronger signals).
• Require 4/4 timeframe agreement instead of 3/4.
• Enable the EMA trend filter.
█ IMPORTANT NOTES
• This indicator uses request.security() to fetch multi-timeframe data. On the current timeframe, values update in real time. Higher timeframe values reflect the last closed bar of that timeframe.
• Signals are non-repainting once the bar closes. Intrabar, the table values and potential signals update as new ticks arrive (expected behavior for a real-time dashboard).
• This tool is designed for identifying momentum exhaustion zones. It does not predict direction — use it in confluence with price action, support/resistance, and your broader trading plan.
• Past performance is not indicative of future results. Always use proper risk management.
█ CREDITS & LICENSE
Open source under Mozilla Public License 2.0.
Built with Pine Script™ v6. Indicator
