Indicator
Linear Regression Drag-Drop,custom deviations & gridOverview
This indicator lets you draw a precise linear regression channel between any two points in time that you choose — simply drag two time anchors onto the chart. Unlike PulseWire's built-in regression tool, which is locked to a fixed lookback, this script gives you full manual control over the exact start and end of the regression window, plus a deviation-based channel, an optional mirrored grid, and a live stats table to help you judge the quality of the fit.
How It Works
Two draggable time anchors. You place a Start Time and an End Time directly on the chart. The script finds the bars closest to each timestamp and runs a least-squares linear regression on price between them.
Deviation channel . Around the regression line, the script plots four deviation bands (1x–4x). You can choose how the deviation is calculated:
StdDev — the statistical standard error of the residuals (how far price actually strayed from the line).
Points (Pips) — a fixed pip value you define, useful when you want consistent, comparable band widths across different sessions or instruments rather than a value that changes with volatility.
Grid. A second set of lines can be drawn as a mirror image of the regression channel, anchored at the end point. You can choose:
Mirror Lines — the mirror slopes in the opposite direction, useful for spotting counter-trend zones.
Zero Slope — the mirror is flattened to horizontal, useful for marking flat reaction levels.
None — hide the mirror set entirely.
A vertical shift input lets you offset the whole mirrored grid up or down by a multiple of the deviation, so it doesn't have to originate from the same anchor point as the main channel.
Fill and time markers . The area between the deviation bands is shaded, and vertical lines mark your two chosen times, so the exact regression window is always visible at a glance.
Stats table. A table (position and appearance configurable) shows:
Slope (%/day) — the trend's daily rate of change, normalized as a percentage of the starting price, so it's comparable across instruments and timeframes.
R² — how well the straight line actually fits price over that window (color-coded green/yellow/red).
Deviation — shown directly in pips.
Bars — the number of bars in the regression window.
How To Use
Drag the Start Time and End Time anchors onto the swing points, session boundaries, or range you want to analyze. The information table is there to help you judge whether a setup is high-probability before you act on it — not every regression window is worth trading, and the table is your filter:
Deviation tends to fit best on AUD/USD and EUR/USD when the pip size is set to a multiple of 10. Other currency pairs (JPY pairs, for example) will usually need a different pip size to get a well-scaled channel — adjust to taste per instrument.
Slope (%/day) gives you a quick read on trend strength: roughly 0.15% = a slow trend, 0.5% = a moderate trend, 1%+ = a steep trend. Use this as a guide for how aggressively price is moving through the window, not as a hard rule.
R² is helps quality check. A high R² means price tracked the line cleanly (more reliable for directional/continuation reads); a low R² means the window was choppy and the line is describing a range rather than a trend (better suited to mean-reversion reads at the deviation bands).
Grid mode adds a second dimension to your analysis: use Mirror Lines to project counter-trend/reversal zones, and Zero Slope to mark horizontal reaction levels. Combined with the ability to freely drag your time anchors to any two points on the chart, this turns the indicator into a fast, repeatable way to test different swing points and see how price is likely to react at the resulting grid levels.
Like any regression-based tool, its usefulness comes from context and repetition. The more windows and instruments you test it against, the better your feel for which slope/R²/deviation combinations mark genuinely high-probability points versus noise — the power of this indicator unfolds with practice.
Notes
This tool describes historical price behavior over a chosen window; it does not predict future price with certainty. Always combine it with your own risk management and additional confluence.
Deviation bands are descriptive statistics, not guaranteed support/resistance — treat penetrations of the outer bands as information, not automatic signals.
Indicator
Sloping Channels and Grid Drag/DropSloping Channels and Grid Drag/Drop
This indicator plots a set of parallel, sloped projection lines anchored to a single point in time that you choose. Instead of the usual flat horizontal channel, the lines slope forward at a rate you define — either as a fixed percentage per day or a custom slope — so the channel tracks a directional bias rather than a static range.
How it works
Pick an anchor point with the time input. The script locks onto the price at that bar and builds everything from there.
Choose a slope (0–1, with a flip-to-negative option) to set the angle of the projection.
Set a band type — Percent, ATR, or Fixed value — to control the spacing between the base line and the outer bands. Five bands are plotted on each side.
Optionally enable Grid mode to overlay a second, mirrored set of lines (opposite slope) shifted by a multiple of the band width. This is particularly useful for visualizing symmetry between uptrend and downtrend structure around the same anchor.
A vertical marker line highlights your anchor point, and a small info table in the corner shows current band width and active slope.
Why sloped lines instead of flat channels
Flat horizontal channels don't account for underlying drift. Forex pairs in particular tend to respond well to predetermined, consistent slope angles rather than freshly-fitted trendlines — a fixed daily-rate slope often tracks price behavior more reliably than manually redrawing a channel each session. By anchoring a slope to a chosen reference point, this tool lets you project that directional expectation forward and see, in real time, how price behaves relative to it.
Suggested slope settings
For forex, slope values around 0.15, 0.5, and 1 (% per day) tend to work well as starting points. Stocks typically require different values given their different volatility and drift characteristics — treat the presets as a forex-tuned starting point, not a universal default.
Easier than a standard channel
Most channel tools require you to set three points (two to define the trendline, one for the offset) and manually redraw as price evolves. This indicator only needs one anchor point — the slope, spacing, and projection are handled automatically from there.
Notes
Lines are drawn using line.new() with extend.both, so once anchored, they persist and project infinitely in both directions — no repainting from redraws each bar.
Designed for intraday use but the timeframe multiplier scales the slope correctly across timeframes.
Grid shift factor lets you offset the secondary set by up to 2x the band width, without needing a second anchor. Indicator
TWT Grid Indicator [3Commas]TWT Grid Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a TWT / USDT price-grid workflow on a pre-defined ladder of levels between two fixed bounds. It tracks one virtual grid position at a time: when price crosses down through a level, the indicator opens one slot; when price subsequently crosses up through the level immediately above an owned slot, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL — all derived from honest fill-by-fill bookkeeping. Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot for direct DCA Bot consumption.
- Up to 62 simultaneous virtual long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- Geometric ladder with ~1.02% per step across the default 0.5795 / 0.3134 range (−45.92%).
- No trailing exit, no stop loss — each slot's exit is the level immediately above its entry.
- Per-slot reference exposure ~1.6% of equity at default settings.
- Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized net profit displayed live on the chart.
🔷 Who is it for:
- Swing traders harvesting volatility on TWT in range-bound regimes who want a chart-driven signal source.
- Bot operators looking for per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Range traders who prefer mechanical, level-based execution over discretionary entries.
- Traders who want strategy-tester-equivalent insight (live realized/unrealized PnL) without running a backtest engine.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.02% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, the indicator marks a virtual long opened at that level for one slot's worth of capital (Investment / N) and dispatches its buy webhook. When bar close moves price up through the level immediately above an owned slot, that slot is closed, the round-trip profit between the two adjacent levels is realized, and the close webhook fires.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, Open PnL, and realized net profit displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Lifetime Realized PnL: Each closed slot accumulates its round-trip profit into a persistent counter. The status table displays both Open PnL (current unrealized state) and cumulative realized net profit, so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the configured Investment. When all 62 slots are filled, no new slots open until price rises and starts closing slots. This structural cap is the indicator's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). One PulseWire alert with "Any alert() function call" drives a DCA Bot configured for grid emulation end-to-end, with each level tracked independently downstream.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Live PnL Tracking: Open PnL and cumulative realized net profit are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest. This is especially useful for a grid, where a large share of value can be sitting in open (loaded) slots at any moment; the Open PnL vs Realized PnL split makes that distinction explicit.
- Calibrated for TWT 15m: Default bounds, level count, and step size are set against TWT's recent observed range. The 62-level geometric ladder gives roughly 1.02% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Indicator:
Market Selection & Range Validity: Grid tools are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep loading as price falls and won't close until price reverses. The default High/Low (0.5795 / 0.3134) was set against TWT's recent observed range; update both whenever the regime changes.
Loaded-Grid Dynamic: When TWT sits in the lower half of the range, most slots are bought and waiting — the bulk of the value shows up as Open PnL rather than Realized PnL. This is normal grid behavior: realized profit only accrues as slots complete their round-trips. On the companion strategy's reference window the net closed profit was thin (+0.96%) for exactly this reason — nearly all levels were loaded at the end of the sample.
Aggregate Drawdown: Per-slot reference risk is moderate (~1.6% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further — the companion strategy's backtest reached a 20.03% maximum equity drawdown, driven by the fully-loaded-grid dynamic. Match the indicator's per-slot allocation and Investment to your bot's configuration to keep the avg-entry and PnL display honest.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Slots whose entry sits above current market simply wait until price comes back. Risk is structurally capped by the bounded per-slot allocation; if a hard exchange-side stop is required, configure it on the bot directly.
Cross Detection Granularity: Slot fills and closes are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual grid state is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-profit counter in the status table gives a running approximation. For full metrics over the reference ~14-month sample (1,227 closed trades, 55.09% win rate, 20.03% max drawdown, profit factor 0.971, +0.96% net closed return over May 1, 2025 – July 1, 2026), use the companion strategy version on identical parameters. Note that at the end of that window nearly all grid levels are loaded with open slots, so a large share of the position value is unrealized and not reflected in the closed-trade profit factor.
🔷 How to Use It:
🔸 Add the indicator to a 15m TWT / USDT chart.
🔸 Set the High and Low bounds to a range you expect TWT to respect, pick Geometric (default, recommended) or Arithmetic spacing, and set Grid Levels (7–200) and Total Investment to match your bot's configuration (the indicator's avg-entry and PnL display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_TWT).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit a dedicated JSON payload for every grid-level buy and grid-level close, tagged with the slot index — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 62, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Total virtual capital allocated across all slots. Per-slot size = Investment / Grid Levels.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table (shows range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized net profit).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
TWT Grid Strategy [3Commas]TWT Grid Long Strategy
🔷 What it does:
This is a long-only price-grid strategy that harvests volatility on TWT / USDT through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale.
- Up to 62 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- No trailing exit, no stop loss — each slot's exit is the level above its entry.
- Per-slot exposure is approximately 1.6% of equity at default settings, comfortably inside the conventional 5–10% per-trade risk band.
- Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on TWT in range-bound regimes.
- Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-trade risk.
- Range traders who prefer mechanical execution over discretionary entries.
🔷 How does it work:
Grid Construction: On script load, the strategy computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.02% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 62 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart.
- Calibrated for TWT 15m: Default bounds, level count, and step size are set against TWT's recent observed range. The 62-level geometric ladder gives roughly 1.02% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Strategy:
Why the Net Profit Looks Small: At the end of the reference backtest the net closed profit is thin (+192.35 USDT / +0.96%) — but this is not the whole picture. Because TWT drifted down toward the lower half of the range and sat there, almost all grid levels are currently loaded: a large share of the capital is tied up in open long slots that have been bought on the way down and are still waiting for price to rise back through their exit level. Those slots are holding unrealized value that has not yet been converted into realized profit. In a grid strategy the realized profit only accrues as slots complete their round-trip; when the grid is nearly fully loaded near the lows, most of the equity is sitting in open positions rather than banked profit. If price recovers into the upper half of the range, those loaded slots close in sequence and the realized profit rises accordingly.
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep loading as price falls and won't close until price reverses. The default High/Low (0.5795 / 0.3134) was set against TWT's recent observed range; update both whenever the regime changes.
Capital Deployment & Drawdown: The default Investment of 20,000 USDT equals 100% of starting capital — high-conviction setting that assumes the configured range holds. Per-slot risk is moderate (~1.6% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further — the reference backtest reached a 20.03% maximum equity drawdown, driven by the same fully-loaded-grid dynamic described above. Scale the Investment input down to match the worst-case drawdown you are willing to absorb.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy's per-trade risk is structurally capped by the per-slot allocation (Investment / N levels) — at defaults that is ~323 USDT per slot, inside the conventional 5–10% per-trade band. The aggregate unrealized exposure is controlled separately via the Investment input.
Trade Volume & Fees: Grid bots on 15m generate a high number of round-trips — the reference backtest logged 1,227 closed trades, far above the ~100-trade floor for statistical relevance. The ~1.02% step is deliberately wider than a tight scalp grid so each round-trip aims to clear the taker fee, but with a profit factor of 0.971 the realized edge is currently below break-even on closed trades alone; the strategy's positive total return in this window comes from the open-slot value, so match the commission (0.1% per trade) to your exchange's actual fees carefully.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen High/Low range remaining valid.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:TWTUSDT.P (Perpetual) — strategy is portable to any TWT / USDT pair.
Timeframe: 15M
Test Period: May 1, 2025 — July 1, 2026 (~14 months).
Initial Capital: 20,000 USDT.
Total Investment: 20,000 USDT (100% of capital, high-conviction setting).
Order Size per Slot: Investment / 62 ≈ 323 USDT (~1.6% of equity).
Commission: 0.1% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Grid Bounds: High 0.5795 / Low 0.3134 (range −45.92%).
Grid Levels: 62 (Geometric spacing, ~1.02% per step).
Stop Loss: None — per-slot allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +192.35 USDT (+0.96%)
Max Equity Drawdown: 4,636.76 USDT (20.03%)
Total Closed Trades: 1,227
Percent Profitable: 55.09% (676 / 1,227)
Profit Factor: 0.971
Note: at the end of this window nearly all grid levels are loaded with open long slots, so a large share of the position value is unrealized and not yet reflected in the closed-trade profit factor.
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect TWT to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 20.03% while the grid was heavily loaded. The 1,227 closed trades are far above the ~100-trade floor for statistical relevance, but the 0.971 profit factor shows the realized edge is currently below break-even; the strategy's value in this window is concentrated in open, not-yet-closed slots.
🔸 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. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 62, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, status table (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
FIL Grid Indicator [3Commas]FIL Grid Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a FIL / USDT price-grid workflow on a pre-defined ladder of levels between two fixed bounds. It tracks one virtual grid position at a time: when price crosses down through a level, the indicator opens one slot; when price subsequently crosses up through the level immediately above an owned slot, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL — all derived from honest fill-by-fill bookkeeping. Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot for direct DCA Bot consumption.
- Up to 36 simultaneous virtual long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- Geometric ladder with ~1.0% per step across the default 1.0151 / 0.7099 range (−30.07%).
- No trailing exit, no stop loss — each slot's exit is the level immediately above its entry.
- Per-slot reference exposure ~2.78% of equity at default settings.
- Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized net profit displayed live on the chart.
🔷 Who is it for:
- Swing traders harvesting volatility on FIL in range-bound regimes who want a chart-driven signal source.
- Bot operators looking for per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Range traders who prefer mechanical, level-based execution over discretionary entries.
- Traders who want strategy-tester-equivalent insight (live realized/unrealized PnL) without running a backtest engine.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, the indicator marks a virtual long opened at that level for one slot's worth of capital (Investment / N) and dispatches its buy webhook. When bar close moves price up through the level immediately above an owned slot, that slot is closed, the round-trip profit between the two adjacent levels is realized, and the close webhook fires.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, Open PnL, and realized net profit displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Lifetime Realized PnL: Each closed slot accumulates its round-trip profit into a persistent counter. The status table displays both Open PnL (current unrealized state) and cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the configured Investment. When all 36 slots are filled, no new slots open until price rises and starts closing slots. This structural cap is the indicator's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). One PulseWire alert with "Any alert() function call" drives a DCA Bot configured for grid emulation end-to-end, with each level tracked independently downstream.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Live PnL Tracking: Open PnL and cumulative realized net profit are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest.
- Calibrated for FIL 15m: Default bounds, level count, and step size are set against FIL's recent observed range. The 36-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Indicator:
Market Selection & Range Validity: Grid tools are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep loading as price falls and won't close until price reverses. The default High/Low (1.0151 / 0.7099) was set against FIL's recent observed range; update both whenever the regime changes.
Aggregate Drawdown: Per-slot reference risk is moderate (~2.78% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further — the companion strategy's backtest reached a 15.13% maximum equity drawdown. Match the indicator's per-slot allocation and Investment to your bot's configuration to keep the avg-entry and PnL display honest.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Slots whose entry sits above current market simply wait until price comes back. Risk is structurally capped by the bounded per-slot allocation; if a hard exchange-side stop is required, configure it on the bot directly.
Cross Detection Granularity: Slot fills and closes are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual grid state is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-profit counter in the status table gives a running approximation. For full metrics over the reference ~13.8-month sample (1,294 closed trades, 57.96% win rate, 15.13% max drawdown, profit factor 1.434, +16.24% net return over May 1, 2025 – June 26, 2026), use the companion strategy version on identical parameters.
🔷 How to Use It:
🔸 Add the indicator to a 15m FIL / USDT chart.
🔸 Set the High and Low bounds to a range you expect FIL to respect, pick Geometric (default, recommended) or Arithmetic spacing, and set Grid Levels (7–200) and Total Investment to match your bot's configuration (the indicator's avg-entry and PnL display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_FIL).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit a dedicated JSON payload for every grid-level buy and grid-level close, tagged with the slot index — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 36, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Total virtual capital allocated across all slots. Per-slot size = Investment / Grid Levels.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
FIL Grid Strategy [3Commas]FIL Grid Strategy
🔷 What it does:
This is a long-only price-grid strategy that harvests volatility on FIL / USDT through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale.
- Up to 36 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- No trailing exit, no stop loss — each slot's exit is the level above its entry.
- Per-slot exposure is approximately 2.78% of equity at default settings, comfortably inside the conventional 5–10% per-trade risk band.
- Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on FIL in range-bound regimes.
- Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-trade risk.
- Range traders who prefer mechanical execution over discretionary entries.
🔷 How does it work:
Grid Construction: On script load, the strategy computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 36 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart.
- Calibrated for FIL 15m: Default bounds, level count, and step size are set against FIL's recent observed range. The 36-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Strategy:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep loading as price falls and won't close until price reverses. The default High/Low (1.0151 / 0.7099) was set against FIL's recent observed range; update both whenever the regime changes.
Capital Deployment & Drawdown: The default Investment of 10,000 USDT equals 100% of starting capital — high-conviction setting that assumes the configured range holds. Per-slot risk is moderate (~2.78% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further — the reference backtest reached a 15.13% maximum equity drawdown. Scale the Investment input down to match the worst-case drawdown you are willing to absorb.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy's per-trade risk is structurally capped by the per-slot allocation (Investment / N levels) — at defaults that is ~278 USDT per slot, inside the conventional 5–10% per-trade band. The aggregate unrealized exposure is controlled separately via the Investment input.
Trade Volume & Fees: Grid bots on 15m generate a high number of round-trips. The ~1.0% step is deliberately wider than a tight scalp grid so each round-trip comfortably clears the taker fee. The default commission (0.06% per trade) should be matched to your exchange's actual fees; with a profit factor of 1.434 the edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen High/Low range remaining valid.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:FILUSDT.P (Perpetual) — strategy is portable to any FIL / USDT pair.
Timeframe: 15M
Test Period: May 1, 2025 — June 26, 2026 (~13.8 months).
Initial Capital: 10,000 USDT.
Total Investment: 10,000 USDT (100% of capital, high-conviction setting).
Order Size per Slot: Investment / 36 ≈ 278 USDT (~2.78% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Grid Bounds: High 1.0151 / Low 0.7099 (range −30.07%).
Grid Levels: 36 (Geometric spacing, ~1.0% per step).
Stop Loss: None — per-slot allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +1,624.42 USDT (+16.24%)
Max Equity Drawdown: 1,838.06 USDT (15.13%)
Total Closed Trades: 1,294
Percent Profitable: 57.96% (750 / 1,294)
Profit Factor: 1.434
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect FIL to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 15.13%. The 1,294 closed trades are far above the ~100-trade floor for statistical relevance, but the 1.434 profit factor leaves a modest margin once real fees are applied.
🔸 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. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 36, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, status table (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
TRX Grid Long Indicator [3Commas]TRX Grid Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow on TRX / USDT between two fixed bounds. It tracks up to 35 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, and open PnL from the live slot ledger and renders all of it on the chart.
- Pre-computes 7–200 grid levels in Geometric (default) or Arithmetic spacing.
- Each slot is an independent ownership flag with its own buy/sell webhook payload.
- Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event.
- Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on TRX in range-bound regimes.
- Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid execution.
- Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine.
- Portfolio operators using a high-trade-count contributor alongside directional strategies.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot's level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched.
Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcuts from base entry, no synthetic averaging. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The indicator never trails the exit and never signals a slot-out for a loss — slots that fall below their entry stay owned until price comes back. This is the canonical grid-bot behavior.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The indicator can drive a DCA Bot configured for grid emulation without any glue layer.
- Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event — what you see is what the broker-equivalent position would actually have.
- Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray. Slot density and current loading are visible at a glance.
- Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, and crisp HIGH/LOW labels mark the bounds — the grid topology is obvious without zooming.
- Calibrated for TRX 15m: Default bounds, level count, and step size are set against TRX's recent observed range. The 35-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Indicator:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep marking as owned as price falls and won't free until price reverses. The default High/Low (0.3713 / 0.2660) was set against TRX's recent observed range; update both whenever the regime changes.
Capital Deployment: The default Total Investment of 10,000 USDT is a virtual reference used for the avg-entry and open-PnL computation. The real sizing happens on the bot side — match the indicator's per-slot allocation to your bot's grid configuration to keep the avg-entry display honest.
Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design — this prevents over-signaling on intra-bar wicks.
Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk is structurally capped on the bot side by the bounded Total Investment configured at the bot. If a hard stop is required, layer it on the bot side.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics over a ~13.7-month sample (460 closed trades, 46.30% win rate, 10.95% max drawdown, profit factor 1.227, +4.81% net return), use the companion strategy version on identical parameters. The 460-trade sample is well above the ~100-trade floor for statistical relevance, though the thin profit factor means real fees are decisive.
🔷 How to Use It:
🔸 Add the indicator to a TRX / USDT 15m chart.
🔸 Set the High and Low bounds to a range you expect TRX to respect.
🔸 Pick Geometric (default, recommended) or Arithmetic spacing.
🔸 Set Grid Levels (7–200) and the virtual Total Investment used for avg-entry computation.
🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_TRX).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 35, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Virtual capital allocated across all slots. Used for the avg-entry and open-PnL computation only.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
TRX Grid Long Strategy [3Commas]TRX Grid Long Strategy
🔷 What it does:
This is a long-only price-grid strategy that harvests volatility on TRX / USDT through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale.
- Up to 35 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- No trailing exit, no stop loss — each slot's exit is the level above its entry.
- Per-slot exposure is approximately 2.86% of equity at default settings, comfortably inside the conventional 5–10% per-trade risk band.
- Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on TRX in range-bound regimes.
- Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-trade risk.
- Range traders who prefer mechanical execution over discretionary entries.
🔷 How does it work:
Grid Construction: On script load, the strategy computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 35 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart.
- Calibrated for TRX 15m: Default bounds, level count, and step size are set against TRX's recent observed range. The 35-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Strategy:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep loading as price falls and won't close until price reverses. The default High/Low (0.3713 / 0.2660) was set against TRX's recent observed range; update both whenever the regime changes.
Capital Deployment & Drawdown: The default Investment of 10,000 USDT equals 100% of starting capital — high-conviction setting that assumes the configured range holds. Per-slot risk is moderate (~2.86% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further — the reference backtest reached a 10.95% maximum equity drawdown. Scale the Investment input down to match the worst-case drawdown you are willing to absorb.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy's per-trade risk is structurally capped by the per-slot allocation (Investment / N levels) — at defaults that is ~286 USDT per slot, inside the conventional 5–10% per-trade band. The aggregate unrealized exposure is controlled separately via the Investment input.
Trade Volume & Fees: Grid bots on 15m generate a high number of round-trips. The ~1.0% step is deliberately wider than a tight scalp grid so each round-trip comfortably clears the taker fee. The default commission (0.06% per trade) should be matched to your exchange's actual fees; with a profit factor of 1.227 the edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen High/Low range remaining valid.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:TRXUSDT.P (Perpetual) — strategy is portable to any TRX / USDT pair.
Timeframe: 15M
Test Period: May 1, 2025 — June 22, 2026 (~13.7 months).
Initial Capital: 10,000 USDT.
Total Investment: 10,000 USDT (100% of capital, high-conviction setting).
Order Size per Slot: Investment / 35 ≈ 286 USDT (~2.86% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Grid Bounds: High 0.3713 / Low 0.2660 (range −28.36%).
Grid Levels: 35 (Geometric spacing, ~1.0% per step).
Stop Loss: None — per-slot allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +481.18 USDT (+4.81%)
Max Equity Drawdown: 1,107.89 USDT (10.95%)
Total Closed Trades: 460
Percent Profitable: 46.30% (213 / 460)
Profit Factor: 1.227
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect TRX to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 10.95%. The 460 closed trades are well above the ~100-trade floor for statistical relevance, but the 1.227 profit factor leaves a modest margin once real fees are applied.
🔸 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. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 35, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, status table (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
[3Commas] ENA Grid - Long Indicator ENA Grid - Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow on ENA / USDT between two fixed bounds. It tracks up to 65 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, and open PnL from the live slot ledger and renders all of it on the chart.
- Pre-computes 7–200 grid levels in Geometric (default) or Arithmetic spacing.
- Each slot is an independent ownership flag with its own buy/sell webhook payload.
- Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event.
- Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on ENA in range-bound regimes.
- Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid execution.
- Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine.
- Portfolio operators using a high-trade-count contributor alongside directional strategies.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot's level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched.
Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcuts from base entry, no synthetic averaging. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The indicator never trails the exit and never signals a slot-out for a loss — slots that fall below their entry stay owned until price comes back. This is the canonical grid-bot behavior.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The indicator can drive a DCA Bot configured for grid emulation without any glue layer.
- Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event — what you see is what the broker-equivalent position would actually have.
- Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray. Slot density and current loading are visible at a glance.
- Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, and crisp HIGH/LOW labels mark the bounds — the grid topology is obvious without zooming.
- Calibrated for ENA 15m: Default bounds, level count, and step size are set against ENA's recent observed range. The 65-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside a broad range.
🔷 Considerations Before Using the Indicator:
Wide Range & Drawdown: The default range spans nearly 47% (0.132 down to 0.07). A grid this wide loads many slots as price falls toward the Low — the companion strategy's backtest shows a sizeable 23.52% maximum equity drawdown and a thin 1.067 profit factor. This configuration grinds volatility rather than capturing a strong edge; size accordingly and consider a narrower range.
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots keep marking as owned and won't free until price reverses. The default High/Low (0.132 / 0.07) was set against ENA's recent observed range; update both whenever the regime changes.
Capital Deployment: The default Total Investment of 10,000 USDT is a virtual reference used for the avg-entry and open-PnL computation. The real sizing happens on the bot side — match the indicator's per-slot allocation to your bot's grid configuration to keep the avg-entry display honest.
Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design — this prevents over-signaling on intra-bar wicks.
Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk is structurally capped on the bot side by the bounded Total Investment configured at the bot. If a hard stop is required, layer it on the bot side.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics over a ~4.5-month sample (1,875 closed trades, 49.55% win rate, 23.52% max drawdown, profit factor 1.067, +9.63% net return), use the companion strategy version on identical parameters. The 1,875-trade sample is far above the ~100-trade floor for statistical relevance, but the thin profit factor means real fees are decisive.
🔷 How to Use It:
🔸 Add the indicator to an ENA / USDT 15m chart.
🔸 Set the High and Low bounds to a range you expect ENA to respect (a narrower range than the default reduces drawdown).
🔸 Pick Geometric (default, recommended) or Arithmetic spacing.
🔸 Set Grid Levels (7–200) and the virtual Total Investment used for avg-entry computation.
🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_ENA).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 65, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Virtual capital allocated across all slots. Used for the avg-entry and open-PnL computation only.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
[3Commas] ENA Grid Bot - Long Strategy ENA Grid Bot - Long Strategy
🔷 What it does:
This is a long-only price-grid strategy that harvests volatility on ENA / USDT through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale.
- Up to 65 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- No trailing exit, no stop loss — each slot's exit is the level above its entry.
- Per-slot exposure is approximately 1.54% of equity at default settings, comfortably inside the conventional 5–10% per-trade risk band.
- Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on ENA in range-bound regimes.
- Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-trade risk.
- Range traders who prefer mechanical execution over discretionary entries.
🔷 How does it work:
Grid Construction: On script load, the strategy computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 65 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart.
- Calibrated for ENA 15m: Default bounds, level count, and step size are set against ENA's recent observed range. The 65-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside a broad range.
🔷 Considerations Before Using the Strategy:
Wide Range & Drawdown (Important): The default range spans nearly 47% (0.132 down to 0.07). A grid this wide loads many slots as price falls toward the Low, which is exactly why the reference backtest shows a sizeable 23.52% maximum equity drawdown. Profit factor of 1.067 is only marginally above breakeven — this configuration grinds out volatility, it is not a high-edge setup. Size the Investment to a drawdown you can stomach, and treat the thin profit factor as a reason to demo-test thoroughly.
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots keep loading and won't close until price reverses. The default High/Low (0.132 / 0.07) was set against ENA's recent observed range; update both whenever the regime changes.
Capital Deployment: The default Investment of 10,000 USDT equals 100% of starting capital. Per-slot risk is low (~1.54% of equity), but with a wide range the aggregate unrealized loss can grow materially before price recovers — as the 23.52% drawdown shows. Scale the Investment input down to manage it.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. Per-trade risk is structurally capped by the per-slot allocation (Investment / N) — at defaults ~154 USDT per slot, well inside the conventional 5–10% per-trade band. Aggregate exposure is controlled separately via the Investment input.
Trade Volume & Fees: Grid bots on 15m generate a high number of round-trips — this configuration produced 1,875 closed trades. With a thin profit factor, fees are decisive: the default commission (0.06% per trade) must match your exchange's actual fees, or the edge can flip negative.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a wide-range, low-profit-factor configuration.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:ENAUSDT.P (Perpetual) — strategy is portable to any ENA / USDT pair.
Timeframe: 15M
Test Period: January 31, 2026 — June 16, 2026 (~4.5 months).
Initial Capital: 10,000 USDT.
Total Investment: 10,000 USDT (100% of capital, high-conviction setting).
Order Size per Slot: Investment / 65 ≈ 154 USDT (~1.54% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Grid Bounds: High 0.132 / Low 0.07 (range −46.97%).
Grid Levels: 65 (Geometric spacing, ~1.0% per step).
Stop Loss: None — per-slot allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +1,135.41 USDT (+11.21%)
Max Equity Drawdown: 2,789.96 USDT (23.52%)
Total Closed Trades: 1,875
Percent Profitable: 49.55% (929 / 1,875)
Profit Factor: 1.067
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect ENA to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile — consider a narrower range to reduce the drawdown seen here.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 23.52%. The 1,875 closed trades are well above the ~100-trade floor for statistical relevance, but the 1.067 profit factor leaves little margin once real fees are applied.
🔸 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. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 65, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, status table (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
[3Commas] EURUSD Grid - Long Indicator EURUSD Grid - Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow on EUR / USD between two fixed bounds. It tracks up to 37 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, and open PnL from the live slot ledger and renders all of it on the chart.
- Pre-computes 7–200 grid levels in Geometric (default) or Arithmetic spacing.
- Each slot is an independent ownership flag with its own buy/sell webhook payload.
- Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event.
- Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Range traders harvesting the tight, mean-reverting oscillations of EUR / USD on lower timeframes.
- Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid execution.
- Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine.
- Portfolio operators using a high-trade-count, low-volatility contributor alongside directional strategies.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 0.2% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot's level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched.
Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcuts from base entry, no synthetic averaging. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The indicator never trails the exit and never signals a slot-out for a loss — slots that fall below their entry stay owned until price comes back. This is the canonical grid-bot behavior.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The indicator can drive a DCA Bot configured for grid emulation without any glue layer.
- Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event — what you see is what the broker-equivalent position would actually have.
- Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray. Slot density and current loading are visible at a glance.
- Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, and crisp HIGH/LOW labels mark the bounds — the grid topology is obvious without zooming.
- Calibrated for EUR/USD 15m: Default bounds, level count, and step size are set against EUR/USD's recent observed range. The 37-level geometric ladder gives roughly 0.2% per step — tight, to match the low intraday volatility of a major FX pair.
🔷 Considerations Before Using the Indicator:
Fees vs. a Tight 0.2% Step (Critical): With a step this narrow, transaction costs dominate profitability. A 0.2% round-trip leaves little room for fees — match the indicator's per-slot sizing and your bot's real fee tier (use maker fees if you place limit orders) and confirm the round-trip stays net-positive before deploying.
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets — which suits EUR/USD — but a sustained trend below the Low bound leaves the lower slots loaded until price returns. The default High/Low (1.1277 / 1.04884) was set against EUR/USD's recent range; update both whenever the regime changes.
Capital Deployment: The default Total Investment of 20,000 is a virtual reference used for the avg-entry and open-PnL computation. The real sizing happens on the bot side — match the indicator's per-slot allocation to your bot's grid configuration to keep the avg-entry display honest.
Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design — this prevents over-signaling on intra-bar wicks.
Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk is structurally capped on the bot side by the bounded Total Investment configured at the bot. If a hard stop is required, layer it on the bot side.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics over a ~1.8-month sample (162 closed trades, 62.35% win rate, 0.25% max drawdown, profit factor 2.832, +0.61% net return), use the companion strategy version on identical parameters — and re-run over a longer window with realistic fees before relying on those figures.
🔷 How to Use It:
🔸 Add the indicator to an EUR / USD 15m chart.
🔸 Set the High and Low bounds to a range you expect EUR/USD to respect.
🔸 Pick Geometric (default, recommended) or Arithmetic spacing.
🔸 Set Grid Levels (7–200) and the virtual Total Investment used for avg-entry computation.
🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USD_EUR).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 37, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment: Virtual capital allocated across all slots. Used for the avg-entry and open-PnL computation only.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
[3Commas] EURUSD Grid Bot - Long Strategy EURUSD Grid Bot - Long Strategy
🔷 What it does:
This is a long-only price-grid strategy that harvests volatility on EUR / USD through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale.
- Up to 37 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- No trailing exit, no stop loss — each slot's exit is the level above its entry.
- Per-slot exposure is approximately 2.70% of equity at default settings, comfortably inside the conventional 5–10% per-trade risk band.
- Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Range traders harvesting the tight, mean-reverting oscillations of EUR / USD on lower timeframes.
- Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Traders running a portfolio of low-correlation strategies who want a high-trade-count, low-volatility contributor.
- Traders who prefer mechanical execution over discretionary entries on a major FX pair.
🔷 How does it work:
Grid Construction: On script load, the strategy computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 0.2% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 37 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in quote currency and % of starting capital), so live performance is visible directly on the chart.
- Calibrated for EUR/USD 15m: Default bounds, level count, and step size are set against EUR/USD's recent observed range. The 37-level geometric ladder gives roughly 0.2% per step — tight, to match the low intraday volatility of a major FX pair, while still aiming to clear fees on each round-trip.
🔷 Considerations Before Using the Strategy:
Fees vs. a Tight 0.2% Step (Critical): With a step this narrow, transaction costs are the single biggest determinant of profitability. A 0.2% round-trip leaves very little room: at 0.06% per side the fee already consumes ~0.12% of each cycle, and on a higher-fee spot venue the strategy can turn unprofitable. Set the commission input to your venue's actual fee tier (use maker fees if you place limit orders) before trusting any result. Do not deploy with an unrealistic fee assumption.
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets — which suits EUR/USD's typical behavior, but a sustained trend below the Low bound will leave the lower slots loaded until price returns. The default High/Low (1.1277 / 1.04884) was set against EUR/USD's recent range; update both whenever the regime changes.
Capital Deployment & Drawdown: The default Investment of 20,000 equals 100% of starting capital. Per-slot risk is low (~2.70% of equity), but if price breaks below the Low bound, aggregate unrealized loss can grow. Scale the Investment input down to match the worst-case drawdown you are willing to absorb.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. Per-trade risk is structurally capped by the per-slot allocation (Investment / N) — at defaults ~540 per slot, inside the conventional 5–10% per-trade band. Aggregate exposure is controlled separately via the Investment input.
Test Window: The reference backtest covers a relatively short window (~1.8 months). Re-run over a longer period spanning different volatility regimes to confirm the edge holds before committing capital.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen range and is sensitive to fees.
🔷 STRATEGY PROPERTIES
Symbol: KRAKEN:EURUSD — strategy is portable to any EUR / USD feed.
Timeframe: 15M
Test Period: April 1, 2025 — May 25, 2025 (~1.8 months).
Initial Capital: 20,000.
Total Investment: 20,000 (100% of capital, high-conviction setting).
Order Size per Slot: Investment / 37 ≈ 540 (~2.70% of equity).
Commission: 0.06% per trade (set to your venue's actual fee — critical at a 0.2% step).
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Grid Bounds: High 1.1277 / Low 1.04884 (range −6.99%).
Grid Levels: 37 (Geometric spacing, ~0.2% per step).
Stop Loss: None — per-slot allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +121.76 USD (+0.61%)
Max Equity Drawdown: 49.94 USD (0.25%)
Total Closed Trades: 162
Percent Profitable: 62.35% (101 / 162)
Profit Factor: 2.832
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect EUR/USD to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile. Crucially, set the commission to your venue's real fee.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band. This configuration produced 162 closed trades over the test window (above the ~100-trade floor), but over a short ~1.8-month period — validate over a longer span before relying on it.
🔸 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. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 37, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment: Total capital allocated across all slots. Per-slot size = Investment / Grid Levels.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, status table (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
[3Commas] XRP Grid - Long Indicator XRP Grid - Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow on XRP / USDT between two fixed bounds. It tracks up to 23 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, and open PnL from the live slot ledger and renders all of it on the chart.
- Pre-computes 7–200 grid levels in Geometric (default) or Arithmetic spacing.
- Each slot is an independent ownership flag with its own buy/sell webhook payload.
- Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event.
- Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on XRP in range-bound regimes.
- Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid execution.
- Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine.
- Portfolio operators using a high-trade-count contributor alongside directional strategies.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.5% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot's level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched.
Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcuts from base entry, no synthetic averaging. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The indicator never trails the exit and never signals a slot-out for a loss — slots that fall below their entry stay owned until price comes back. This is the canonical grid-bot behavior.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The indicator can drive a DCA Bot configured for grid emulation without any glue layer.
- Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event — what you see is what the broker-equivalent position would actually have.
- Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray. Slot density and current loading are visible at a glance.
- Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, and crisp HIGH/LOW labels mark the bounds — the grid topology is obvious without zooming.
- Calibrated for XRP 15m: Default bounds, level count, and step size are set against XRP's recent observed range. The 23-level geometric ladder gives roughly 1.5% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Indicator:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep marking as owned as price falls and won't free until price reverses. The default High/Low (1.5466 / 1.1124) was set against XRP's recent observed range; update both whenever the regime changes.
Capital Deployment: The default Total Investment of 10,000 USDT is a virtual reference used for the avg-entry and open-PnL computation. The real sizing happens on the bot side — match the indicator's per-slot allocation to your bot's grid configuration to keep the avg-entry display honest.
Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design — this prevents over-signaling on intra-bar wicks.
Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk is structurally capped on the bot side by the bounded Total Investment configured at the bot. If a hard stop is required, layer it on the bot side.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics over a ~14.3-month sample (269 closed trades, 66.54% win rate, 5.78% max drawdown, profit factor 2.809, +9.52% net return), use the companion strategy version on identical parameters. The 269-trade sample is well above the ~100-trade floor for statistical relevance.
🔷 How to Use It:
🔸 Add the indicator to an XRP / USDT 15m chart.
🔸 Set the High and Low bounds to a range you expect XRP to respect.
🔸 Pick Geometric (default, recommended) or Arithmetic spacing.
🔸 Set Grid Levels (7–200) and the virtual Total Investment used for avg-entry computation.
🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_XRP).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 23, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Virtual capital allocated across all slots. Used for the avg-entry and open-PnL computation only.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
[3Commas] XRP Grid Bot - Long Strategy XRP Grid Bot - Long Strategy
🔷 What it does:
This is a long-only price-grid strategy that harvests volatility on XRP / USDT through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale.
- Up to 23 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- No trailing exit, no stop loss — each slot's exit is the level above its entry.
- Per-slot exposure is approximately 4.35% of equity at default settings, comfortably inside the conventional 5–10% per-trade risk band.
- Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on XRP in range-bound regimes.
- Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-trade risk.
- Range traders who prefer mechanical execution over discretionary entries.
🔷 How does it work:
Grid Construction: On script load, the strategy computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.5% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 23 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart.
- Calibrated for XRP 15m: Default bounds, level count, and step size are set against XRP's recent observed range. The 23-level geometric ladder gives roughly 1.5% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Strategy:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep loading as price falls and won't close until price reverses. The default High/Low (1.5466 / 1.1124) was set against XRP's recent observed range; update both whenever the regime changes.
Capital Deployment & Drawdown: The default Investment of 10,000 USDT equals 100% of starting capital — high-conviction setting that assumes the configured range holds. Per-slot risk is moderate (~4.35% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further. Scale the Investment input down to match the worst-case drawdown you are willing to absorb in a range-break scenario.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy's per-trade risk is structurally capped by the per-slot allocation (Investment / N levels) — at defaults that is ~435 USDT per slot, inside the conventional 5–10% per-trade band. The aggregate unrealized exposure is controlled separately via the Investment input.
Trade Volume & Fees: Grid bots on 15m generate a high number of round-trips. The ~1.5% step is deliberately wider than a tight scalp grid so each round-trip comfortably clears the taker fee. The default commission (0.06% per trade) should be matched to your exchange's actual fees; any mismatch will materially shift the results.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen High/Low range remaining valid.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:XRPUSDT.P (Perpetual) — strategy is portable to any XRP / USDT pair.
Timeframe: 15M
Test Period: April 1, 2025 — June 13, 2026 (~14.3 months).
Initial Capital: 10,000 USDT.
Total Investment: 10,000 USDT (100% of capital, high-conviction setting).
Order Size per Slot: Investment / 23 ≈ 435 USDT (~4.35% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Grid Bounds: High 1.5466 / Low 1.1124 (range −28.07%).
Grid Levels: 23 (Geometric spacing, ~1.5% per step).
Stop Loss: None — per-slot allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +952.38 USDT (+9.52%)
Max Equity Drawdown: 662.20 USDT (5.78%)
Total Closed Trades: 269
Percent Profitable: 66.54% (179 / 269)
Profit Factor: 2.809
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect XRP to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band. Validate that the trade count is high enough to be statistically meaningful — this configuration produced 269 closed trades over the test window, well above the ~100-trade floor for statistical relevance.
🔸 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. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 23, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, status table (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
[3Commas] NOT Grid - Long Indicator NOT Grid - Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow on NOT / USDT between two fixed bounds. It tracks up to 20 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, and open PnL from the live slot ledger and renders all of it on the chart.
- Pre-computes 7–200 grid levels in Geometric (default) or Arithmetic spacing.
- Each slot is an independent ownership flag with its own buy/sell webhook payload.
- Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event.
- Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on NOT in range-bound regimes.
- Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid execution.
- Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine.
- Portfolio operators using a high-trade-count contributor alongside directional strategies.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot's level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched.
Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcuts from base entry, no synthetic averaging. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The indicator never trails the exit and never signals a slot-out for a loss — slots that fall below their entry stay owned until price comes back. This is the canonical grid-bot behavior.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The indicator can drive a DCA Bot configured for grid emulation without any glue layer.
- Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event — what you see is what the broker-equivalent position would actually have.
- Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray. Slot density and current loading are visible at a glance.
- Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, and crisp HIGH/LOW labels mark the bounds — the grid topology is obvious without zooming.
- Calibrated for NOT 15m: Default bounds, level count, and step size are set against NOT's recent observed range. The 20-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Indicator:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep marking as owned as price falls and won't free until price reverses. The default High/Low (0.0004277 / 0.0003518) was set against NOT's recent observed range; update both whenever the regime changes.
Capital Deployment: The default Total Investment of 10,000 USDT is a virtual reference used for the avg-entry and open-PnL computation. The real sizing happens on the bot side — match the indicator's per-slot allocation to your bot's grid configuration to keep the avg-entry display honest.
Small-Cap Asset Volatility: NOT is a lower-priced, higher-volatility asset. The narrow ~17.8% grid range can be exited quickly on a strong directional move, leaving the lowest slots loaded. Reassess the bounds frequently.
Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design — this prevents over-signaling on intra-bar wicks.
Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk is structurally capped on the bot side by the bounded Total Investment configured at the bot. If a hard stop is required, layer it on the bot side.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics over a ~14.3-month sample (1,011 closed trades, 58.26% win rate, 12.13% max drawdown, profit factor 1.808, +32.88% net return), use the companion strategy version on identical parameters. The 1,011-trade sample is far above the ~100-trade floor for statistical relevance.
🔷 How to Use It:
🔸 Add the indicator to a NOT / USDT 15m chart.
🔸 Set the High and Low bounds to a range you expect NOT to respect.
🔸 Pick Geometric (default, recommended) or Arithmetic spacing.
🔸 Set Grid Levels (7–200) and the virtual Total Investment used for avg-entry computation.
🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_NOT).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 20, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Virtual capital allocated across all slots. Used for the avg-entry and open-PnL computation only.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
[3Commas] NOT Grid Bot - Long Strategy NOT Grid Bot - Long Strategy
🔷 What it does:
This is a long-only price-grid strategy that harvests volatility on NOT / USDT through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale.
- Up to 20 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- No trailing exit, no stop loss — each slot's exit is the level above its entry.
- Per-slot exposure is approximately 5.00% of equity at default settings, inside the conventional 5–10% per-trade risk band.
- Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on NOT in range-bound regimes.
- Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-trade risk.
- Range traders who prefer mechanical execution over discretionary entries.
🔷 How does it work:
Grid Construction: On script load, the strategy computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 20 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart.
- Calibrated for NOT 15m: Default bounds, level count, and step size are set against NOT's recent observed range. The 20-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Strategy:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep loading as price falls and won't close until price reverses. The default High/Low (0.0004277 / 0.0003518) was set against NOT's recent observed range; update both whenever the regime changes.
Capital Deployment & Drawdown: The default Investment of 10,000 USDT equals 100% of starting capital — high-conviction setting that assumes the configured range holds. Per-slot risk is moderate (~5.00% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further. Scale the Investment input down to match the worst-case drawdown you are willing to absorb in a range-break scenario.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy's per-trade risk is structurally capped by the per-slot allocation (Investment / N levels) — at defaults that is ~500 USDT per slot, inside the conventional 5–10% per-trade band. The aggregate unrealized exposure is controlled separately via the Investment input.
Trade Volume & Fees: Grid bots on 15m generate a high number of round-trips. The ~1.0% step is deliberately wider than a tight scalp grid so each round-trip comfortably clears the taker fee. The default commission (0.06% per trade) should be matched to your exchange's actual fees; any mismatch will materially shift the results.
Small-Cap Asset Volatility: NOT is a lower-priced, higher-volatility asset. The narrow ~17.8% grid range can be exited quickly on a strong directional move, leaving the lowest slots loaded. Reassess the bounds frequently and keep the Investment sized for a possible range-break.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen High/Low range remaining valid.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:NOTUSDT.P (Perpetual) — strategy is portable to any NOT / USDT pair.
Timeframe: 15M
Test Period: April 1, 2025 — June 10, 2026 (~14.3 months).
Initial Capital: 10,000 USDT.
Total Investment: 10,000 USDT (100% of capital, high-conviction setting).
Order Size per Slot: Investment / 20 = 500 USDT (~5.00% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Grid Bounds: High 0.0004277 / Low 0.0003518 (range −17.75%).
Grid Levels: 20 (Geometric spacing, ~1.0% per step).
Stop Loss: None — per-slot allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,287.62 USDT (+32.88%)
Max Equity Drawdown: 1,344.70 USDT (12.13%)
Total Closed Trades: 1,011
Percent Profitable: 58.26% (589 / 1,011)
Profit Factor: 1.808
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect NOT to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band. Validate that the trade count is high enough to be statistically meaningful — this configuration produced 1,011 closed trades over the test window, far above the ~100-trade floor for statistical relevance.
🔸 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. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 20, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, status table (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
[3Commas] XLM Grid - Long Indicator XLM Grid — Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow on XLM / USDT between two fixed bounds. It tracks up to 50 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, and open PnL from the live slot ledger and renders all of it on the chart.
- Pre-computes 7–200 grid levels in Geometric (default) or Arithmetic spacing.
- Each slot is an independent ownership flag with its own buy/sell webhook payload.
- Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event.
- Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on XLM in range-bound regimes.
- Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid execution.
- Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine.
- Portfolio operators using a high-trade-count contributor alongside directional strategies.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot's level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched.
Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcuts from base entry, no synthetic averaging. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The indicator never trails the exit and never signals a slot-out for a loss — slots that fall below their entry stay owned until price comes back. This is the canonical grid-bot behavior.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The indicator can drive a DCA Bot configured for grid emulation without any glue layer.
- Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event — what you see is what the broker-equivalent position would actually have.
- Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray. Slot density and current loading are visible at a glance.
- Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, and crisp HIGH/LOW labels mark the bounds — the grid topology is obvious without zooming.
- Calibrated for XLM 15m: Default bounds, level count, and step size are set against XLM's recent observed range. The 50-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Indicator:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep marking as owned as price falls and won't free until price reverses. The default High/Low (0.22347 / 0.13698) was set against XLM's recent observed range; update both whenever the regime changes.
Capital Deployment: The default Total Investment of 10,000 USDT is a virtual reference used for the avg-entry and open-PnL computation. The real sizing happens on the bot side — match the indicator's per-slot allocation to your bot's grid configuration to keep the avg-entry display honest.
Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design — this prevents over-signaling on intra-bar wicks.
Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk is structurally capped on the bot side by the bounded Total Investment configured at the bot. If a hard stop is required, layer it on the bot side.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics over a ~4.3-month sample (1,076 closed trades, 62.27% win rate, 7.53% max drawdown, profit factor 1.932, +21.67% net return), use the companion strategy version on identical parameters. The 1,076-trade sample is far above the ~100-trade floor for statistical relevance.
🔷 How to Use It:
🔸 Add the indicator to an XLM / USDT 15m chart.
🔸 Set the High and Low bounds to a range you expect XLM to respect.
🔸 Pick Geometric (default, recommended) or Arithmetic spacing.
🔸 Set Grid Levels (7–200) and the virtual Total Investment used for avg-entry computation.
🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_XLM).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 50, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Virtual capital allocated across all slots. Used for the avg-entry and open-PnL computation only.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
[3Commas] XLM Grid Bot - Long Strategy XLM Grid Bot — Long Strategy
🔷 What it does:
This is a long-only price-grid strategy that harvests volatility on XLM / USDT through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale.
- Up to 50 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
- No trailing exit, no stop loss — each slot's exit is the level above its entry.
- Per-slot exposure is approximately 2.00% of equity at default settings, comfortably inside the conventional 5–10% per-trade risk band.
- Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on XLM in range-bound regimes.
- Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
- Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-trade risk.
- Range traders who prefer mechanical execution over discretionary entries.
🔷 How does it work:
Grid Construction: On script load, the strategy computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 50 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer.
- Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead.
- Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart.
- Calibrated for XLM 15m: Default bounds, level count, and step size are set against XLM's recent observed range. The 50-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Strategy:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep loading as price falls and won't close until price reverses. The default High/Low (0.22347 / 0.13698) was set against XLM's recent observed range; update both whenever the regime changes.
Capital Deployment & Drawdown: The default Investment of 10,000 USDT equals 100% of starting capital — high-conviction setting that assumes the configured range holds. Per-slot risk is low (~2.00% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further. Scale the Investment input down to match the worst-case drawdown you are willing to absorb in a range-break scenario.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy's per-trade risk is structurally capped by the per-slot allocation (Investment / N levels) — at defaults that is ~200 USDT per slot, well inside the conventional 5–10% per-trade band. The aggregate unrealized exposure is controlled separately via the Investment input.
Trade Volume & Fees: Grid bots on 15m generate a high number of round-trips. The ~1.0% step is deliberately wider than a tight scalp grid so each round-trip comfortably clears the taker fee. The default commission (0.06% per trade) should be matched to your exchange's actual fees; any mismatch will materially shift the results.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen High/Low range remaining valid.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:XLMUSDT.P (Perpetual) — strategy is portable to any XLM / USDT pair.
Timeframe: 15M
Test Period: February 1, 2026 — June 9, 2026 (~4.3 months).
Initial Capital: 10,000 USDT.
Total Investment: 10,000 USDT (100% of capital, high-conviction setting).
Order Size per Slot: Investment / 50 = 200 USDT (~2.00% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Grid Bounds: High 0.22347 / Low 0.13698 (range −38.70%).
Grid Levels: 50 (Geometric spacing, ~1.0% per step).
Stop Loss: None — per-slot allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +2,167.03 USDT (+21.67%)
Max Equity Drawdown: 761.57 USDT (7.53%)
Total Closed Trades: 1,076
Percent Profitable: 62.27% (670 / 1,076)
Profit Factor: 1.932
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect XLM to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band. Validate that the trade count is high enough to be statistically meaningful — this configuration produced 1,076 closed trades over the test window, far above the ~100-trade floor for statistical relevance.
🔸 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. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 50, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, status table (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
[3Commas] BTC Grid - Long Indicator BTC Grid — Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow on BTCUSDT.P between two fixed bounds. It tracks up to 50 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, open PnL, and realized PnL from the live slot ledger and renders all of it on the chart.
* Pre-computes 7–200 grid levels in Geometric or Arithmetic spacing.
* Each slot is an independent ownership flag with its own buy/sell webhook payload.
* Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event.
* Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
* Swing traders harvesting volatility on BTC in range-bound regimes.
* Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid execution.
* Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine.
* Portfolio operators using a high-trade-count contributor alongside directional strategies.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode, level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot’s level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched.
Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the virtual broker-equivalent position state. The table also accumulates realized PnL from every closed slot.
No Trailing, No Stop Loss: By design, each slot has a fixed exit — the level above. The indicator never trails the exit and never signals a slot-out for a loss.
🔷 Why it’s unique:
* Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot.
* Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event.
* Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray.
* Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, with HIGH/LOW labels marking the bounds.
* Calibrated for BTCUSDT.P 15m: Default bounds, level count, and step size are set for BTC’s broad range, with a geometric ladder designed around ~1% spacing.
🔷 Considerations Before Using the Indicator:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep marking as owned as price falls and will not free until price reverses.
Capital Deployment: The default Total Investment of 10,000 USDT is a virtual reference used for avg-entry and open-PnL computation. Real sizing happens on the bot side.
Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design.
Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream, the indicator state may not match the live bot.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk should be managed on the bot side through capital allocation, range selection, or additional stop logic.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics, use the companion strategy version on identical parameters.
🔷 How to Use It:
🔸 Add the indicator to a BTCUSDT.P 15m chart.
🔸 Set the High and Low bounds to a BTC range you expect the market to respect.
🔸 Pick Geometric spacing for percent-based levels or Arithmetic spacing for absolute-price levels.
🔸 Set Grid Levels and the virtual Total Investment used for avg-entry computation.
🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair in QUOTE_BASE format, for example USDT_BTC.
🔸 Create an alert on the indicator with “Any alert() function call”. Paste the DCA Bot’s webhook URL into the alert’s Webhook field.
🔷 INDICATOR SETTINGS
High Price: Top of the grid.
Low Price: Bottom of the grid.
Grid Levels: Number of price levels between High and Low.
Spacing Mode: Geometric or Arithmetic.
Total Investment: Virtual capital allocated across all slots.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table, and watermark.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Indicator
Continuous Market Grid botThe Continuous Market Grid Bot is a high-frequency, range-bound algorithmic market-making strategy. It bypasses conventional directional forecasting by dividing a master price bracket into symmetrical, mathematically spaced price corridors. Utilizing dynamic status arrays to maintain structural awareness, the engine systematically scaling-in long inventory via micro-dips and liquidating positions for explicit, compounding cash-flow gains upon immediate cyclical rotations.
Core Algorithmic Architecture
1. Finite Array State Machine
Unlike standard grid scripts that continuously spam overlapping or duplicate orders, this version integrates a persistent boolean status matrix (grid_holding). The array serves as the bot's independent memory core. It dynamically locks a specific grid corridor the microsecond an accumulation trigger is met, ensuring that a tier cannot be duplicated until its active inventory is completely cleared via an offsetting profit execution.
2. Self-Replenishing Micro-Corridors
The matrix loop is designed for continuous rotation across the operational band:
The Dip Layer: The engine monitors price interactions with each localized grid line. If price cuts downward across a tier, the bot locks inventory for that specific corridor.
The Targeted Rotation: Once inventory is secured, the strategy targets a discrete liquidation zone exactly one step higher. Upon an upward crossover, the engine flushes the tier, clears the array reference, and instantly rearms the level to repeat the accumulation process on the next corrective wave.
3. Dynamic Boundary Activation
To prevent adverse fills during chaotic macro trends, the system includes an automated initialization sequence. The execution engine remains completely dormant until price action enters the designated trading bracket. Once active, the intermediate nodes are cleanly rendered as non-repainting dashed structural levels across the right side of the user workspace.
Strategy Parameters & Backtesting Metrics
To replicate realistic institutional execution, the strategy properties are pre-embedded with specific live-market friction metrics. When running historical simulations or connecting to automated API order routers, ensure the configuration mirrors these structural settings:
Explicit Commission Values: The script is hardcoded with a 0.035% execution fee (strategy.commission.percent) applied to every single transaction. This precisely mirrors real-world round-trip costs on premium derivative exchanges and discount brokerages.
Slippage Buffer Requirements: It is highly recommended to configure 10 to 15 Slippage Ticks within your PulseWire strategy properties tab. This ensures the historical performance metrics account for order book latency, depth variations, and execution delay during high-speed matching environments.
Independent Close Rule: The strategy utilizes the close_entries_rule="ANY" instruction. This is a critical configuration that enables the engine to close position tiers out of chronological order, focusing strictly on closing the exact matching layer that reached its specific target matrix.
High-Risk Capital & Margin Warning
Symmetrical grid trading algorithms present exceptionally stable performance metrics during consolidation zones, but they introduce structural liabilities that users must thoroughly evaluate before allocating active capital:
High Capital Intensity: Grid systems demand heavy capital allocation. Because the bot continuously accumulates units as price descends, your ledger requires deep, un-leveraged cash reserves to sustain multiple simultaneous open drawdowns without triggering forced liquidation or margin calls.
The Trend Extinction Risk: The primary hazard to a grid framework is a one-directional macro trend. If an asset enters a persistent, structural capitulation phase that breaks cleanly below your Lower Price Limit, the bot will remain at maximum asset capacity, holding a full basket of losing inventory with mounting unrealized losses.
Emergency Risk Isolation: The script features an embedded Stop Loss Control Module. If enabled, a breach of the user-defined floor price immediately initiates a comprehensive purge sequence—wiping all pending orders, flushing outstanding inventory at market values, and clearing the status arrays to completely halt ongoing downside exposure.
Disclaimer: Trading financial derivative instruments carries a high level of capital risk. Grid bots are highly susceptible to severe trend extensions and liquidity blackouts. This technical model is presented strictly for educational research and historical backtesting analysis. It does not constitute personalized financial advice or automated asset management.
Strategy
BTCUSDT.P Grid Bot - Long StrategyBTC Grid Bot — Long Strategy
🔷 What it does:
This is a long-only price-grid strategy that harvests volatility on BTCUSDT.P through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to BTC’s price scale.
* Up to 50 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment.
* No trailing exit, no stop loss — each slot’s exit is the level above its entry.
* Per-slot exposure is approximately 2.00% of equity at default settings.
* Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
* Swing traders harvesting volatility on BTC in range-bound regimes.
* Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution.
* Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-slot exposure.
* Range traders who prefer mechanical execution over discretionary entries.
🔷 How does it work:
Grid Construction: On script load, the strategy computes N price levels between the configured High and Low bounds. In Geometric mode, level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings.
Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot’s level, a long is opened at that level for one slot’s worth of capital. When bar close moves price up through the level immediately above an owned slot, that slot is closed.
No Trailing, No Stop Loss: By design, each slot has a fixed exit: the level above. The strategy never trails the exit and never stops a slot out for a loss.
Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 50 slots are filled, no new orders are opened until price rises and starts closing slots.
🔷 Why it’s unique:
* Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot.
* Pre-Allocated State: Up to 200 slot ledgers live in fixed-size arrays, allowing fast state tracking and clean chart rendering.
* Honest Backtest Surface: Avg entry, open PnL, realized PnL, owned slots, and per-slot allocation are visible directly on the chart.
* Calibrated for BTCUSDT.P 15m: Default bounds and level count are set for a broad BTC range, with a geometric ladder designed around ~1% steps.
🔷 Considerations Before Using the Strategy:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional moves below the configured Low, slots may remain open until price reverses.
Capital Deployment & Drawdown: The default Investment of 10,000 USDT equals 100% of starting capital. Each slot uses approximately 200 USDT, or 2.00% of equity. Scale the Investment input down if you want lower aggregate exposure.
No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy’s risk control is structural: fixed per-slot allocation and capped total investment.
Trade Volume & Fees: BTC 15m grid execution can generate frequent round-trips. The ~1% step is designed to leave room for exchange fees and slippage.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance.
🔷 STRATEGY PROPERTIES
Symbol: BTCUSDT.P — Bybit BTC perpetual contract.
Timeframe: 15M
Test Period: April 1, 2025 — June 7, 2026.
Initial Capital: 10,000 USDT.
Total Investment: 10,000 USDT.
Order Size per Slot: Investment / 50 ≈ 200 USDT.
Commission: 0.055% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Grid Bounds: High 83,689.23 / Low 51,629.65.
Grid Levels: 50.
Spacing Mode: Geometric.
Approx Step: ~1.0%.
Stop Loss: None.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, whole profit will be get at 82700 price tag
Net Profit: +90.32 USDT (+0.90%)
Max Equity Drawdown: 924.71 USDT (8.63%)
Total Closed Trades: 428
Percent Profitable: 60.51% (259 / 428)
Profit Factor: 1.016
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a BTC range you expect the market to respect. Use Geometric spacing for percent-based grid levels.
🔸 Results Review: Run a full-period backtest and confirm that Max Drawdown, trade count, and Profit Factor are acceptable for your risk profile.
🔸 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.
🔷 INDICATOR SETTINGS
High Price: Top of the grid.
Low Price: Bottom of the grid.
Grid Levels: Number of price levels between High and Low.
Spacing Mode: Geometric or Arithmetic.
Total Investment: Total capital allocated across all slots.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, status table, and watermark.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Strategy
[3Commas] JUP Grid - Long IndicatorJUP Grid — Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a price-grid long workflow on JUP / USDT between two fixed bounds. It tracks up to 27 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, and open PnL from the live slot ledger and renders all of it on the chart.
- Pre-computes 7–200 grid levels in Geometric (default) or Arithmetic spacing.
- Each slot is an independent ownership flag with its own buy/sell webhook payload.
- Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event.
- Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot.
🔷 Who is it for:
- Swing traders harvesting volatility on JUP in range-bound regimes.
- Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid execution.
- Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine.
- Portfolio operators using a high-trade-count contributor alongside directional strategies.
🔷 How does it work:
Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price.
Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot's level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched.
Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcuts from base entry, no synthetic averaging. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history.
No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The indicator never trails the exit and never signals a slot-out for a loss — slots that fall below their entry stay owned until price comes back. This is the canonical grid-bot behavior.
🔷 Why it's unique:
- Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The indicator can drive a DCA Bot configured for grid emulation without any glue layer.
- Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event — what you see is what the broker-equivalent position would actually have.
- Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray. Slot density and current loading are visible at a glance.
- Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, and crisp HIGH/LOW labels mark the bounds — the grid topology is obvious without zooming.
- Calibrated for JUP 15m: Default bounds, level count, and step size are set against JUP's recent observed range. The 27-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range.
🔷 Considerations Before Using the Indicator:
Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep marking as owned as price falls and won't free until price reverses. The default High/Low (0.1805 / 0.1388) was set against JUP's recent observed range; update both whenever the regime changes.
Capital Deployment: The default Total Investment of 10,000 USDT is a virtual reference used for the avg-entry and open-PnL computation. The real sizing happens on the bot side — match the indicator's per-slot allocation to your bot's grid configuration to keep the avg-entry display honest.
Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design — this prevents over-signaling on intra-bar wicks.
Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk is structurally capped on the bot side by the bounded Total Investment configured at the bot. If a hard stop is required, layer it on the bot side.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics over a ~4-month sample (865 closed trades, 57.34% win rate, 11.60% max drawdown, profit factor 1.555, +18.66% net return), use the companion strategy version on identical parameters. The 865-trade sample is well above the ~100-trade floor for statistical relevance.
🔷 How to Use It:
🔸 Add the indicator to a JUP / USDT 15m chart.
🔸 Set the High and Low bounds to a range you expect JUP to respect.
🔸 Pick Geometric (default, recommended) or Arithmetic spacing.
🔸 Set Grid Levels (7–200) and the virtual Total Investment used for avg-entry computation.
🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_JUP).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream.
🔷 INDICATOR SETTINGS
High Price: Top of the grid. The highest level a slot can be created from.
Low Price: Bottom of the grid. The lowest level a slot can be created from.
Grid Levels: Number of price levels between High and Low (default 27, range 7–200).
Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step).
Total Investment (USDT): Virtual capital allocated across all slots. Used for the avg-entry and open-PnL computation only.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
