RSI with MA and 10 Levels (0-100)buy and sell checking indicator where different levels of rsi 0 to 100 will be tested trade will be taken in accordance with other confirmation indicator based on your trading style
Indicator
Rsisignal
Reversal Trap Probability Bands [BigBeluga]🔵 OVERVIEW
The Reversal Trap Probability Bands is an advanced technical indicator created by BigBeluga to identify and trade fakeout traps around market extremes. Traditional envelope or band indicators often fail because traders blindly enter breakouts that quickly reverse into whipsaw losses. In order to provide a solution to this problem, this indicator combines volatility-based envelope channels with a dynamic probability tracking engine, measuring historical RSI buckets to calculate real-time win probabilities for reversal traps.
The indicator aims to visualize institutional exhaustion and subsequent mean-reversion expansions. The core element of its calculation involves tracking baseline moving averages alongside outer volatility bounds defined as:
upper_band = basis + (multiplier * vola)
lower_band = basis - (multiplier * vola)
where basis is an exponential moving average of length envelope_len , and vola is the ATR volatility measure scaled by multiplier . Higher values of envelope_len and multiplier allow the indicator to filter out routine market noise and isolate major structural exhaustion points.
🔵 FEATURES
The system utilizes a multi-layered matrix structure to provide actionable market intelligence:
1 — Volatility Envelope & Basis Engine
envelope_len = input.int(55, "Envelope Smoothness") : Controls the responsiveness and smoothness of the central baseline.
upper_band & lower_band : Dynamic outer boundaries that shade gradient fills to visualize upper and lower market extremes.
2 — Reversal Trap Detection & RSI Probability Tracking
trap_window = input.int(10, "Trap Window (Candles)") : Defines the maximum candle count allowed outside the bands before invalidating a fakeout setup.
rsi_bucket = math.max(0, math.min(10, math.round(rsi / 10))) : Automatically categorizes momentum into distinct RSI tiers to calculate real-time win probability rates.
3 — Dynamic Target, Stop, & Signal Management
Bull_Stop = ta.lowest(low, 2) - atr & Bear_Stop = ta.highest(high, 2) + atr : Calculates volatility-adjusted safety padding for active trade management.
Signal Labels & Targets: Plots clear entry notifications displaying win probability percentages, along with dashed target and stop lines.
🔵 HOW TO USE
Apart from the basic visualization of volatility extremes, this tool can also act in alternative ways to support decision-making:
Identify Reversal Traps: Wait for price to break outside the upper or lower envelope boundaries and subsequently close back inside within the defined trap_window .
Evaluate Win Probability: Check the probability percentage displayed on the trap signal label (backed by historical RSI bucket tracking) before entering a trade.
Manage Risk with Stops and Targets: Use the projected dashed target lines (anchored to the basis line) and ATR-padded stop lines to execute and protect positions.
🔵 NOTES
Why this implementation is unique:
It moves beyond static band indicators by integrating a self-learning historical database that calculates live win probabilities based on momentum buckets.
The automated target and stop-loss line projection engine provides clear visual roadmaps for every triggered setup.
The script is fully optimized for Pine Script version 6, utilizing high-performance array tracking (`var int bull_total = array.new_int(11, 0)`) for smooth execution.
Note: Because the win probability engine evaluates historical trade performance dynamically in real time, initial signals on a freshly loaded chart may display "Tracking..." until sufficient sample data is recorded.
Indicator
SHK CCI 6 MA BOLLINGER BANDS RSI DUAL DIVERGENCE
SHK CCI 6 MA BOLLINGER BANDS RSI DUAL DIVERGENCE
A dual-oscillator divergence engine that runs CCI and RSI side-by-side in the same pane, cross-confirms divergence signals between them, and wraps the CCI line in an adaptive Bollinger Band for volatility context.
What it does
This indicator plots three things in one pane:
CCI (Commodity Channel Index), colored by trend state and filtered through a selectable signal moving average
RSI (Relative Strength Index), colored by 50-midline bias
A Bollinger Band envelope around the CCI line for spotting volatility expansion/contraction
On top of that, it independently scans both CCI and RSI for regular bullish/bearish divergence against price, and flags the bars where both oscillators agree — a higher-confidence signal than either alone.
How the signal engine works
CCI = (source − SMA(source)) / (0.015 × mean deviation), using HLC3 by default
Signal MA: the CCI line is compared against a moving average of itself to determine trend bias (CCI ≥ MA = bullish tint, CCI < MA = bearish tint). Choose from six MA types: SMA, EMA, ALMA, DEMA, QEMA, DWMA
DEMA/QEMA/DWMA are custom-built (not native to Pine) — DEMA is a double-smoothed EMA, QEMA is a quadruple-nested EMA, DWMA is a double-smoothed WMA. Higher smoothing = fewer whipsaws, more lag
RSI runs on its own independent length setting (separate from the CCI length), so you can tune sensitivity for each oscillator without them fighting each other
Divergence detection uses pivot highs/lows on both CCI and RSI, checked against price action within a configurable bar-distance window (so old, stale pivots don't get matched against fresh ones)
CCI Bollinger Bands: a standard basis ± multiplier × standard deviation envelope calculated on either the raw CCI value or the Signal MA (your choice), letting you see when CCI is stretching outside its normal range
How to read the chart
Element What it means
CCI line color Green/teal shades = CCI above its Signal MA (bullish bias); red/pink shades = CCI below (bearish bias). Deeper/brighter shade = also above/below the zero line, i.e. stronger confluence
Signal MA line Green when the underlying Heikin-Ashi candle is bullish, red when bearish
RSI line Blue above 50, orange below 50
Purple bands around CCI Bollinger envelope — CCI pushing outside the bands signals unusually strong momentum for the current length setting
Fill between CCI and Signal MA Green fill = CCI trending above MA, red fill = CCI trending below
White dashed lines (OB/OS) Customizable overbought/oversold reference levels for CCI (defaults: +100 / −200)
White solid line at 35 Fixed RSI reference level
Labels — how to identify each signal
"C" (aqua, pointing up) — CCI regular bullish divergence: price makes a lower low, CCI makes a higher low
"C" (orange, pointing down) — CCI regular bearish divergence: price makes a higher high, CCI makes a lower high
"R" (green, pointing up) — RSI regular bullish divergence
"R" (red, pointing down) — RSI regular bearish divergence
"D" (lime, larger, pointing up) — Dual confirmation: CCI and RSI both show bullish divergence on the same swing — the strongest bullish signal this script produces
"D" (red, larger, pointing down) — Dual confirmation bearish — the strongest bearish signal this script produces
The "D" labels are the ones to weight most heavily; the standalone "C"/"R" labels are useful context but are single-oscillator signals and appear more frequently.
Inputs, grouped as they appear in settings
CCI Settings — CCI length, source, Signal MA type, Signal MA length
RSI Settings — RSI length (independent of CCI length)
MA Params — ALMA offset/sigma (only relevant if Signal MA Type = ALMA)
Levels — Overbought/Oversold reference lines for CCI
Features — toggle divergence detection on/off entirely
Bollinger Bands - CCI — show/hide, length, multiplier, and whether the band wraps the raw CCI value or the Signal MA
Divergence — pivot lookback (left/right bars) and min/max bar distance between pivots used to validate a divergence
Suggested use
Use the "D" dual-confirmation labels as your primary trigger, and the individual "C"/"R" labels as early warning / confluence-building context
Widen the CCI Bollinger Band multiplier on choppier instruments to reduce noise; tighten it on trending instruments to catch momentum extremes earlier
Try DEMA/QEMA/DWMA as the Signal MA type if you find the default ALMA too reactive or too laggy for your timeframe — each trades off responsiveness against whipsaw filtering differently
Works on any timeframe and instrument; divergence-based tools generally perform best combined with a higher-timeframe trend filter or support/resistance context rather than in isolation
Notes
This is a visual/analytical tool, not a standalone buy/sell signal generator — treat divergence as one input among several in your decision process, not a mechanical trigger
Divergence signals are confirmed only after the right-side pivot lookback bars have closed, so labels appear with a small lag by design (this avoids repainting on the pivot itself)
Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice. It is not a recommendation to buy or sell any security or instrument. Trading and investing involve substantial risk of loss and are not suitable for every investor. Past performance, including any backtested or simulated results, is not indicative of future results.
Always analyze the indicator's behavior across different market conditions and backtest thoroughly on your own instruments and timeframes before using it in live trading. Trade at your own risk — you are solely responsible for your own trading decisions.
Indicator
Cardwell Dual Confluence [MarkitTick]💡 A comprehensive momentum and trend-following framework built to identify high-probability market shifts. By synthesizing Andrew Cardwell's established Relative Strength Index (RSI) range rules with dynamic trend filtering and volatility metrics, this tool provides a unified analytical engine. It moves beyond standard oscillator readings to map the underlying momentum regime, ensuring that signals are structurally aligned with the dominant trend.
● ✨ Originality and Utility
Traditional momentum oscillators often produce premature reversal signals during strong trends, leading to false entries in directionless markets. This indicator solves that problem by integrating a dual-tier confluence model. It does not rely solely on an isolated RSI moving average crossover; instead, it demands structural validation through Cardwell's defined momentum ranges.
The primary utility lies in its objective structural filtering: a momentum cross is only validated if the broader market regime structurally supports the direction of the momentum.
By combining a base timeframe momentum cross with a Higher Timeframe (HTF) trend regime and Average Directional Index (ADX) volatility filtering, this tool prevents overtrading in choppy, non-directional environments.
This deliberate combination of an oscillator, a trend filter, and a volatility metric acts as a logical confluence engine. It avoids the pitfalls of disjointed indicator mashups by ensuring every component serves a distinct mathematical purpose in validating the signal before it is printed to the chart.
● 🔬 Methodology and Concepts
The logic engine of this tool evaluates multiple distinct criteria before registering a valid signal.
• Momentum Crossover
The script calculates a base RSI and smooths it using two Running Moving Averages (RMA): a Fast RMA and a Slow RMA. A baseline momentum shift occurs when the Fast RMA crosses the Slow RMA, indicating a localized surge in buying or selling pressure.
• Regime Mapping
A structural trend is evaluated by comparing the closing price to a Simple Moving Average (SMA). Simultaneously, a secondary RSI is evaluated against Cardwell's defined structural ranges. A Bullish Regime requires the price to be above the SMA and the RSI to hold within a specific upper tier (defaulting to 40-80). A Bearish Regime requires the price to be below the SMA and the RSI to hold within a lower tier (defaulting to 20-60).
• Confirmation and Confluence
Regimes must persist for a user-defined number of consecutive bars to filter out transient market noise. Confluence is achieved when an RMA momentum crossover occurs within a tight, predefined window of a regime shift, ensuring both immediate momentum and the structural trend are perfectly aligned.
• Higher Timeframe and Volatility Verification
An optional HTF module checks the regime state of a larger timeframe using a strict non-repainting historical offset. Furthermore, the ADX is calculated to measure pure trend strength. If the ADX is below the user-defined minimum threshold, the market is deemed too choppy, and all signals are suppressed.
• Dynamic Trade Architecture
Once a signal is validated strictly on a confirmed bar close, the script projects dynamic Stop Loss and Take Profit levels using a multiplier of the Average True Range (ATR), actively adapting the trade geometry to current market volatility.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The analytical foundation of this tool rests on advanced momentum physics and statistical distribution theories.
• Cardwell RSI Range Theory
Developed by Andrew Cardwell, this theory posits that the Relative Strength Index is not merely an overbought/oversold oscillator, but a powerful trend-identifying metric. In a mathematically robust uptrend, the RSI establishes a baseline support near the 40 level and frequently reaches 80. Conversely, in a downtrend, it establishes resistance near 60 and drops to 20. The indicator algorithmically enforces these limits to objectively classify market environments.
• Running Moving Average (RMA) Dynamics
The script utilizes the RMA, also known as the Modified Moving Average (MMA) or SMMA, to smooth the RSI base. The RMA applies an exponential smoothing weight defined exactly as 1 / length . This specific mathematical weighting retains a longer memory of past data compared to a standard SMA, preventing the abrupt drop-offs that occur when large data points exit a simple moving average window. This makes the RMA crossover highly sensitive to genuine shifts in cumulative momentum without the lag of a standard exponential moving average.
• Average Directional Movement Index (ADX)
Created by J. Welles Wilder, the ADX quantifies trend strength independent of directional vector. By calculating the smoothed moving averages of the +DI and -DI directional movement indicators, the ADX isolates the absolute magnitude of price expansion. The script uses this mathematical isolation to construct an absolute threshold; requiring ADX to exceed a base level ensures that the statistical probability of trend continuation is mathematically viable before capital is exposed.
• Volatility-Scaled Projection (ATR)
Take profit and stop loss coordinates are mapped using Wilder's Average True Range. The ATR measures the greatest of the current high minus the current low, the absolute value of the current high minus the previous close, and the absolute value of the current low minus the previous close. By scaling targets using ATR multipliers, the tool shifts from fixed-point geometry to dynamic, standard-deviation-aligned targeting, ensuring targets expand during high volatility and contract during consolidation.
● 🎨 Visual Guide
The tool employs a clean, visually dynamic chart interface to transmit complex data instantly without cluttering the workspace.
• Heatmap Candles
Candle bodies and wicks are dynamically colored based on the active regime. Teal indicates a confirmed Bullish Regime, Red indicates a Bearish Regime, and Gray indicates a Neutral market state.
• Signal Labels
When all confluence parameters are met on a confirmed bar close, a solid blue "BUY" label appears below the bar, or an orange "SELL" label appears above the bar, complete with strict execution markers.
• Dynamic Trade Levels
Upon signal generation, the tool plots projected trade levels extending to the right of the price action. A solid Red line indicates the Stop Loss threshold. A dashed Blue line denotes the Entry price. Dashed Teal lines represent Take Profit 1, 2, and 3. Labels accurately print the precise price levels directly on the chart axis.
• Risk and Reward Fills
A semi-transparent Red linefill is plotted between the Entry and Stop Loss lines to visualize risk exposure, while a Teal fill between Entry and TP3 visualizes the total projected reward structure, allowing for instant visual evaluation of the trade setup.
• Integrated Dashboard
A comprehensive table is positioned on the chart, displaying real-time operational metrics. It details the current Cross Trend, Regime State, Confirm Bar count, Signal Gap status, Last Signal source, Trade Status, live ATR value, TP3:SL ratio, and HTF/Chop Filter states in an easy-to-read grid.
● 📖 How to Use
Deploying this tool requires patience and strict adherence to structural confirmation.
Wait for the Heatmap Candles to shift from Gray (Neutral) to Teal (Bullish) or Red (Bearish). This indicates that the broader moving average trend and the internal RSI ranges have aligned into a confirmed structural regime.
Observe the chart for a printed BUY or SELL label. This confirms that the RMA momentum cross has achieved mathematical confluence with the active regime within the defined allowable window.
Check the Dashboard to ensure the HTF Regime and Chop Filter (ADX) read as PASS. If the market is blocked by the Chop Filter, do not force an entry, as the statistical probability of a sustained run is low.
Upon entry, utilize the plotted ATR lines to structure your risk. Place your stop loss exactly at the solid red line, and scale out of your position at the dashed TP1, TP2, and TP3 levels as price action develops.
Wait for the Signal Gap cooldown period to elapse before considering consecutive entries in the same direction. This engineered delay prevents overexposure during erratic, volatile spikes.
● ⚙️ Inputs and Settings
The script features highly customizable parameters grouped logically for maximum workflow efficiency.
• Core Settings
Adjust the lengths for the Cross RMA (Fast/Slow) and the primary RSI source. Modify the Trend MA length and explicitly set the boundaries for the Bull Range (default 40-80) and Bear Range (default 20-60). Configure the Confluence Window to define exactly how close a cross and regime shift must occur to trigger a valid signal, and set the Signal Gap cooldown timer.
• Filters
Toggle the HTF Confirmation logic and select the desired higher timeframe for broader structural alignment. Enable the ADX Chop Filter and set the minimum required trend strength to strip out low-probability environments.
• Trade Tools
Define the ATR lookback length and customize the specific multipliers for the Stop Loss and the three Take Profit targets to match your unique risk-to-reward requirements. Modify the Line Extend Bars input to control how far into the future the trade levels are drawn.
• Visuals and Dashboard
Toggle individual visual components, including candle coloring, signal labels, and trade level plotting. Position the dashboard to any corner of the chart to prevent the obstruction of live price action.
• Alerts
Input specific JSON string payloads for Long, Short, Close Long, Close Short, SL, and TP actions. This allows the indicator to integrate seamlessly with automated execution platforms or third-party webhooks without requiring manual code modifications.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicator
ETH RSI Indicator [3Commas]ETH RSI Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a long-only DCA workflow on ETH / USDT. It tracks a single virtual position: a base entry opens when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the virtual position at fixed deviations from the base entry, each larger than the last; the position is then closed at a fixed take-profit above the blended average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL from honest fill-by-fill bookkeeping, and emits a webhook-ready JSON alert payload on the base order, every safety order, and the close.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders accumulating ETH on deep RSI flushes who want a chart-driven signal source.
- Bot operators who want base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Traders who want strategy-tester-equivalent insight (live realized / unrealized PnL) without running a backtest engine.
🔷 How does it work:
Base Entry: On each closed 4h bar the indicator reads RSI(14). When RSI falls below 28 and there is no open virtual position, it marks a virtual base order at the close price and dispatches the entry webhook.
Averaging Orders: Once in a virtual position, the indicator watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding safety order is recorded and its webhook fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, and Open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Take Profit & Lifetime PnL: When price closes at or above the take-profit level (a fixed percentage above the average entry), the virtual position is closed, its round-trip profit is added to a persistent realized-PnL counter, and the close webhook fires. The status table displays both Open PnL (current unrealized state) and cumulative realized PnL, so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the base order plus the five safety orders. Once all five are filled, no further adds occur — the position simply waits for the take-profit.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the signal quiet in normal conditions and only fires after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. One PulseWire alert with "Any alert() function call" drives a 3Commas DCA Bot end-to-end.
- Live PnL Tracking: Open PnL and cumulative realized PnL are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest.
🔷 Considerations Before Using the Indicator:
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ETH trends hard below the −25% AO5 level without recovering to take-profit, the virtual position sits fully loaded with no further adds and no stop — Open PnL can grow deeply negative until price reverts.
No Stop Loss: There is no exit signal on adverse moves. Risk is bounded only by the fixed ladder allocation (base + five AOs ≈ $20,633 at default sizing). If a hard exchange-side stop is required, configure it on the bot directly.
Match Sizing to Your Bot: The avg-entry and PnL display becomes meaningful only when the indicator's base/AO sizing matches your real DCA Bot configuration.
Cross Detection Granularity: Base, safety-order, and take-profit events are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-PnL counter in the status table gives a running approximation. For full metrics over the reference ~30-month sample (93 closed trades, 68.82% win rate, 3.83% max drawdown, profit factor 5.019, +5.79% net return over January 1, 2024 – June 28, 2026), use the companion strategy version on identical parameters. Note the 93-trade sample is just below the ~100-trade floor for statistical confidence — treat those metrics as indicative.
🔷 How to Use It:
🔸 Add the indicator to a 4h ETH / USDT chart.
🔸 Confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your bot's configuration. Match the base/AO sizing so the avg-entry and PnL display stays meaningful.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_ETH).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The base order, each safety order, and the close will each emit a dedicated JSON payload formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size: Virtual capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Virtual capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table (shows status, AOs filled, base/avg entry, TP target, deployed capital, open PnL, RSI, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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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
RSI Divergence (Bull/Bear) RSI Divergence (Bull/Bear) is an advanced momentum analysis indicator that automatically detects bullish and bearish RSI divergence between price action and the Relative Strength Index (RSI). These divergence signals can help traders identify potential market reversals, trend exhaustion, and high-probability trading opportunities across multiple financial markets.
The indicator continuously analyzes swing highs and swing lows in both price and RSI, highlighting areas where momentum no longer confirms the current price movement. These conditions often appear before significant trend reversals or corrective moves.
Features
• Automatic Bullish RSI Divergence Detection
• Automatic Bearish RSI Divergence Detection
• Swing High & Swing Low Analysis
• Visual Buy & Sell Signal Labels
• Divergence Confirmation Zones
• Optional RSI Sensitivity Settings
• Clean & Lightweight Chart Layout
• Multi-Timeframe Compatible
• Non-Repainting Divergence Detection
• Customizable Signal Display
How It Works
The indicator monitors price swings alongside RSI momentum.
When price forms a **Lower Low** while RSI forms a **Higher Low**, a **Bullish Divergence** is detected, suggesting weakening selling pressure and a possible bullish reversal.
When price forms a **Higher High** while RSI forms a **Lower High**, a **Bearish Divergence** is detected, indicating weakening buying momentum and a potential bearish reversal Signals are displayed directly on the chart, allowing traders to quickly identify possible turning points.
Signal Types
🟢 Bullish Divergence
• Price makes a Lower Low
• RSI makes a Higher Low
• Possible bullish reversal
• Momentum strengthening
🔴 Bearish Divergence
• Price makes a Higher High
• RSI makes a Lower High
• Possible bearish reversal
• Momentum weakening
Best Markets
• Forex • Gold (XAUUSD) • Silver (XAGUSD)
• Crypto • Indices • Stocks • Futures
Recommended Timeframes
Scalping • M5 • M15
Intraday • M30 • H1
Swing Trading • H4 • Daily
Indicator Highlights
• Automatic RSI Divergence Detection
• Early Reversal Identification
• Visual Buy & Sell Signals
• High-Probability Momentum Analysis
• Non-Repainting Logic
• Adjustable RSI Parameters
• Beginner Friendly
• Professional Trading Tool
• Works in Trending and Ranging Markets
Suggested Trading Workflow
1. Identify the overall market trend.
2. Wait for a Bullish or Bearish RSI Divergence signal.
3. Confirm the setup using market structure, support/resistance, or candlestick confirmation.
4. Enter the trade with proper risk management and position sizing.
Notes
This indicator is designed to assist traders in identifying potential momentum shifts through RSI divergence analysis. It should be used alongside market structure, price action, and sound risk management principles. Like all technical analysis tools, it does not predict future price movements or guarantee profitable trades.
Indicator
Cardwell RSI Trade Navigator [MarkitTick]💡 An advanced, multi-dimensional technical overlay designed to translate hidden momentum shifts into actionable, visually structured chart setups.
By extracting the core principles of Andrew Cardwell's methodology—which applies moving averages directly to the Relative Strength Index (RSI) rather than price—this tool identifies underlying momentum trends before they fully manifest in price action.
✨ Originality and Utility
Standard oscillators force traders to divert their attention away from price action to interpret lower-panel squiggles, which can often lead to a disconnect in charting focus.
This script is highly original because it extracts the mathematical cross of RSI-based moving averages and projects them directly onto the main price chart as a comprehensive, fully visualized trade management ecosystem.
It does not just paint a simple signal arrow; it algorithmically constructs a complete risk-to-reward framework the exact moment a momentum cross is mathematically validated.
By integrating directional filters like the ADX and higher timeframe (HTF) consensus protocols, it effectively filters out low-probability market chop.
The primary utility lies in its ability to automate the visual calculation of entry parameters, construct stop losses based on real-time volatility, and project multiple take-profit milestones based on strict multiples, essentially acting as a dynamic charting assistant built entirely on objective mathematical rules.
🔬 Methodology and Concepts
The core computational engine of this indicator relies on the calculation of a standard 14-period Relative Strength Index (RSI).
Instead of looking for traditional overbought or oversold reversal levels, the script calculates two Relative Moving Averages (RMA) of the RSI itself—a Fast RMA (9-period) and a Slow RMA (45-period).
A bullish bias is generated when the Fast RMA crosses above the Slow RMA, indicating that short-term momentum is accelerating faster than the baseline trend velocity.
Conversely, a bearish bias occurs when the Fast RMA crosses below the Slow RMA, signaling immediate downside momentum acceleration.
To ensure these momentum signals are not triggered in stagnant or mean-reverting markets, the script integrates an Average Directional Index (ADX) filter.
The ADX must register a value above a user-defined threshold (default 20) to mathematically confirm that the market is currently in a trending phase capable of sustaining the RSI momentum push.
Furthermore, a Higher Timeframe (HTF) filter requests the RSI RMA cross status from a macro timeframe. Signals on the current charting timeframe are only validated if they align perfectly with the HTF bias, ensuring that all setups are traded strictly in the direction of the dominant market flow.
Once all conditions of a valid signal are met, the script utilizes the Average True Range (ATR) to calculate a dynamic, volatility-adjusted Stop Loss, and then projects exact Take Profit targets using standardized Risk:Reward multipliers.
🎨 Visual Guide
The script transforms the standard candlestick chart into a highly visual, logically color-coded trade environment.
Candle Coloring: Candlesticks are dynamically colored based on underlying momentum strength. A visual gradient shifts from a neutral gray to a bright green (bullish) or bright red (bearish) depending directly on the separation distance between the Fast and Slow RSI RMAs.
HTF Trend Cloud: An optional visual cloud is plotted both above and below the price action. It is colored teal for HTF bullishness and crimson for HTF bearishness, offering traders macro context at a single glance without switching timeframes.
Trade Setup Lines: Upon a validated signal, dashed white horizontal lines appear on the chart, representing the exact calculated price levels for the Stop Loss, Entry point, Take Profit 1 (TP1), Take Profit 2 (TP2), and Take Profit 3 (TP3).
Risk Zones: The chart background between the entry price and the stop loss is shaded in a semi-transparent dark red. The zones between the entry and the consecutive take-profit levels are shaded in progressive green tones to visually represent risk versus reward areas.
Price Labels: Distinctive text labels featuring geometric icons are plotted dynamically at the end of the trade lines, displaying the exact numeric price coordinates for the Stop Loss, Entry, and all TPs.
Signal Strength Score Label: is a calculated metric designed to quantify the momentum and quality of the trade setup at the exact moment the signal is triggered. This value provides a "snapshot" of the signal's conviction level the moment it appears, whereas dashboard metrics track ongoing market conditions.
Dashboard Table: Located permanently in the top right corner, this dark-themed data table displays real-time metrics including the ticker symbol, current trend direction, current ATR value, a visual ADX strength bar, an overall signal strength percentage, the overarching HTF bias, and a counter tracking the number of bars since the last valid signal.
📖 How to Use
Traders can utilize this framework to efficiently identify and manage momentum-based trend continuation setups across any asset.
First, wait for a clear momentum shift, visually indicated by a change in the candlestick gradient color and the sudden appearance of the geometric trade setup zones.
Before considering the setup valid, reference the top-right dashboard table. Confirm that the ADX bar is registering sufficient trend strength and that the HTF Bias aligns with the direction of the signal.
Once the dashed white lines and colored risk zones appear, use the Entry line as the suggested area of execution.
The Stop Loss line provides a definitive, volatility-based invalidation point that should be respected.
As price moves in favor of the active setup, closely monitor the progression through the green reward zones.
If the "Breakeven on TP1" feature is enabled in the settings, observe the Stop Loss label automatically transitioning to a Breakeven line once the first target is struck, theoretically securing the position.
Finally, use the dynamic Risk:Reward live label attached to the current price action to actively monitor the floating R-multiple of the current signal.
⚙️ Inputs and Settings
RSI Length & RMA Lengths: Controls the core sensitivity of the underlying momentum engine. Lower values create more frequent signals, while higher values smooth the data for longer-term trend captures.
ATR Length & SL Multiplier: Defines the strictness of the stop loss protocol. A higher multiplier increases the breathing room for the trade but mathematically requires a larger price move to achieve a 1R target.
TP Risk:Reward Multipliers: Customizes the exact distance of the three take-profit targets relative to the initial ATR-based risk unit.
HTF Timeframe: Sets the macro timeframe used for the overarching trend consensus filter.
Choppiness / ADX Filter: Toggles the strict requirement for a minimum ADX threshold to validate signals, preventing entries in tight trading ranges.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Momentum Derivatives and Relative Strength
The foundational architecture of this script rests upon J. Welles Wilder Jr.'s Relative Strength Index (RSI), a momentum oscillator that measures the speed and change of price movements.
The mathematical formula bounds the output between absolute values of 0 and 100.
By taking a derivative of this oscillator—specifically applying Relative Moving Averages (RMAs, which are mathematically equivalent to Wilder's Smoothing method or an Exponential Moving Average with alpha = 1/length)—the script effectively isolates the velocity of the momentum itself.
The intersection of a fast-period RMA and a slow-period RMA of the RSI mathematically represents a point of momentum inflection, where short-term acceleration deviates significantly from the longer-term mean.
● Volatility-Normalized Risk Management
The utilization of the Average True Range (ATR) establishes a statistically sound, non-static risk framework.
ATR quantifies the historical volatility of an asset by calculating the greatest of the current high minus the current low, the absolute value of the current high minus the previous close, and the absolute value of the current low minus the previous close.
By multiplying the ATR by a specific scalar value, the script dynamically calculates a stop-loss distance that is statistically placed outside the normal noise distribution of the current market environment.
This approach is scientifically superior to static percentage-based stop losses, as it continuously adapts to the heteroskedasticity (changing variance) inherent in complex financial time series.
● Trend Directionality and Vector Strength
The Average Directional Index (ADX) component provides a purely quantitative measure of trend strength that is entirely independent of direction.
ADX is derived from the smoothed moving averages of the +DI and -DI, which measure the positive and negative directional movement vectors.
By requiring the ADX to breach a specific numerical threshold, the script mathematically filters out random walk (stochastic) market phases.
This ensures that the structural momentum setups only trigger when they occur within a statistically significant directional drift, massively increasing the probability of trend continuation.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicator
Crypto Spaghetti 40 Procrypto spaghetti 40 pro future is a multi-symbol relative strength dashboard designed to compare up to 40 crypto pairs in one clean oscillator panel.
the tool does not display normal price. instead, it rebases every selected token from the same lookback point and shows its relative performance as a percentage. this makes it easier to see which tokens are leading, which tokens are lagging, and where rotation is happening inside a crypto basket.
main idea
most traders look at one chart at a time. this tool helps compare many markets at once.
each line represents one token.
when a line is above zero, that token is performing better than its starting point over the selected lookback.
when a line is below zero, that token is performing weaker than its starting point over the selected lookback.
when one line rises faster than the others, that token is showing relative strength.
when one line falls faster than the others, that token is showing relative weakness.
what the indicator shows
performance lines
the script plots up to 40 crypto pairs as percentage performance lines. all pairs are rebased using the same lookback value, so they can be compared on the same scale.
zero line
the zero line is the base level. values above zero show positive performance from the rebase point. values below zero show negative performance from the rebase point.
background zones
the green area shows stronger positive performance.
the yellow area shows the neutral zone.
the red area shows weaker negative performance.
these zones are visual guides only. they help separate strong, neutral, and weak conditions.
rsi dots
small dots can appear on the lines when the selected token reaches rsi overbought, extreme overbought, oversold, or extreme oversold conditions.
these dots are not automatic buy or sell signals. they are momentum warnings.
panel
the panel shows each token with several useful readings:
pair: the selected crypto pair.
percent: the current relative performance.
rank: the current position of the token inside the 40-symbol basket.
zone: top, high, mid, low, or bottom.
rsi: the current rsi value.
sig: rsi status such as ob, xob, os, or xos.
rank and zone
rank shows where a token stands compared to the rest of the basket.
rank #1 means the strongest token in the current basket.
rank #40 means the weakest token in the current basket.
top means the current leader.
high means the token is inside the top group.
mid means the token is in the middle of the basket.
low means the token is inside the weak group.
bottom means the current weakest token.
this ranking system makes it easier to identify leaders and laggards without relying only on line colors.
alerts
the script includes dynamic alert logic using alert calls.
available alert logic includes:
new top token
new bottom token
token enters top 5
token enters bottom 5
top 5 token with rsi overbought or extreme overbought
bottom 5 token with rsi oversold or extreme oversold
performance crosses above the neutral top zone
performance crosses below the neutral bottom zone
to use these alerts, create a pulsewire alert and select the condition:
any alert() function call
how to use the tool
step 1: choose the symbols
select the crypto pairs you want to compare. the default list includes major crypto assets and popular altcoins. you can replace any symbol with another pair.
step 2: choose the lookback
the rebase lookback controls how far back the comparison starts.
a shorter lookback gives a more reactive view.
a longer lookback gives a broader market rotation view.
for beginners, a lookback around 200 bars gives a balanced view.
step 3: read the zero line
tokens above zero are outperforming their own starting point.
tokens below zero are underperforming their own starting point.
tokens near zero are close to neutral.
step 4: check rank
rank is one of the most important readings.
a token ranked #1 is the current strongest performer in the selected basket.
a token ranked in the top 5 is part of the strongest group.
a token ranked in the bottom 5 is part of the weakest group.
step 5: check rsi status
if a token is top ranked and also shows ob or xob, it is strong but may be stretched.
if a token is bottom ranked and also shows os or xos, it is weak but may be stretched to the downside.
rsi does not replace price action. it only adds momentum context.
beginner examples
example 1: finding the strongest token
if sol is ranked #1 and its performance line is rising above the others, sol is currently leading the selected basket.
a beginner can use this information to focus analysis on sol instead of searching across many charts manually.
this does not mean immediate entry. the trader should still check structure, trend, support, resistance, and risk.
example 2: identifying weakness
if a token is ranked #40 and its line is deep in the red zone, it is the weakest token in the selected group.
this can help traders avoid weak assets during bullish conditions or watch for possible continuation weakness.
example 3: rotation
if btc was rank #1 and then eth becomes rank #1, the alert can show a top rotation.
this means leadership inside the basket has changed.
rotation can help traders understand where market attention is moving.
example 4: top 5 with rsi overbought
if a token enters the top 5 and rsi is overbought, the token is strong but potentially extended.
a beginner should not chase blindly. it is usually better to wait for a pullback, a clean continuation setup, or confirmation on the price chart.
example 5: bottom 5 with rsi oversold
if a token enters the bottom 5 and rsi is oversold, the token is weak and may be stretched.
this can be useful for studying possible capitulation, but it is not a buy signal by itself.
best use cases
market rotation analysis
crypto basket comparison
finding relative strength
finding relative weakness
spotting leaders and laggards
monitoring top 5 and bottom 5 changes
watching rsi extremes across many symbols
building a watchlist for further analysis
suggested beginner workflow
first, check the top 5.
then, check if those tokens are above zero.
then, check if they are still rising or already flat.
after that, open the normal price chart of the strongest token.
look for structure, trend, support, resistance, volume, and risk level.
do the same with the bottom 5 if you want to study weak markets.
do not trade only because a token is top ranked or bottom ranked.
the indicator is a scanner and comparison tool. it is not a full trading system.
settings explained
rebase lookback bars
sets how many bars are used as the starting point for the performance comparison.
smoothing
smooths the performance lines. higher values make the lines cleaner but slower.
use log-return style
uses log-style performance calculation instead of simple percentage calculation.
request timeframe
allows the comparison to be calculated from another timeframe. empty means the chart timeframe is used.
line width
controls the thickness of the spaghetti lines.
show futuristic panel
shows or hides the ranking panel.
show token labels
shows or hides labels at the right side of the visible chart.
background zones
controls the green, yellow, and red performance zones.
rsi settings
controls the rsi length and the overbought, oversold, extreme overbought, and extreme oversold thresholds.
alert settings
allows each alert type to be enabled or disabled.
min bars between same alert type can reduce repeated alerts.
important notes
this indicator is designed for comparison, not prediction.
a high rank means relative strength inside the selected basket.
a low rank means relative weakness inside the selected basket.
rank can change quickly in volatile markets.
rsi extremes can stay extreme during strong trends.
always confirm signals with price action.
always use risk management.
always test settings before using them in live conditions.
risk notice
this tool is for technical analysis and educational use. it does not provide financial advice and does not guarantee any result. all readings, ranks, zones, and alerts are visual references only. every trader is responsible for their own analysis, risk management, and trading decisions.
Indicator
[3Commas] DOT RSI Reversal DCA - Short Strategy DOT RSI Reversal DCA - Short Strategy
🔷 What it does:
This is a short-only DCA strategy that fades overbought momentum on DOT / USDT. A short deal opens when the 3-minute RSI(9) crosses down through 80 — a momentum-exhaustion signal after a fast push higher. Up to three averaging orders then fill at fixed deviations ABOVE the base entry (+1%, +2%, +3%) with uniform sizing, pulling the average entry up if price keeps rising. Exit is a 1.3% Take Profit from the average entry with a 0.3% trailing retrace, and a hard 8% Stop Loss caps the downside.
- Single base order plus up to three uniform averaging orders on a fixed +1% / +2% / +3% ladder.
- Tight 1.3% Take Profit with a 0.3% trailing lock — captures the mean-reversion snap-back, then trails to squeeze a little extra.
- Hard 8% Stop Loss closes the trade if the short keeps running against the position — a real, bounded per-trade risk.
- Every entry, averaging order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Intraday traders fading overbought spikes on DOT on lower timeframes.
- Bot operators who want to drive a DCA Bot short deal from PulseWire alerts with per-event JSON payloads.
- Traders who want a mechanical short with a defined stop, modest averaging, and a quick profit target rather than an open-ended hold.
- Portfolio operators looking for a high-win-rate, short-side contributor with bounded risk.
🔷 How does it work:
Entry Trigger: A 3-minute RSI(9) is sampled via request.security with lookahead disabled (no repaint). The base short opens when that RSI crosses DOWN through 80 — i.e., the prior 3m close was ≥ 80 and the current is below it, marking the moment overbought momentum rolls over.
Base Order: Sized at 500 USDT default (5% of 10k capital), placed as a Limit order at the signal bar's close (Market toggle available).
Averaging Orders (Uniform DCA Ladder): After the base fill, the strategy monitors price deviation above the base entry. Each averaging order has a fixed deviation — +1%, +2%, +3% — with uniform sizing (250 USDT each, half the base). If price rises against the short, each rung adds size and raises the average entry, so a smaller reversal is needed to reach Take Profit.
Exit (TP + Trailing): A 1.3% Take Profit below the running average entry arms a trailing exit. Once price trades through the TP level, the strategy tracks the in-favor low and closes when price retraces 0.3% off that low — locking the move while letting it extend.
Stop Loss: A hard 8% Stop Loss above the average entry. If price runs against the short past that level, the position closes at market. This is the strategy's defined, bounded per-trade risk.
🔷 Why it's unique:
- Momentum-Exhaustion Trigger: Rather than shorting any overbought reading, the deal opens specifically on the RSI crossing DOWN through 80 — the rollover moment — which filters out trades that fire while momentum is still climbing.
- Defined-Risk DCA: Most martingale DCA shorts run without a stop. This one keeps a modest 3-rung uniform ladder AND an 8% hard stop, so the worst-case loss per deal is bounded and known in advance.
- Trailing Take Profit: The 1.3% target arms a 0.3% trailing exit rather than a fixed limit — capturing the reversion snap and then riding any follow-through.
- DCA Bot Integration: Every event (base, AO 1–3, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer.
🔷 Considerations Before Using the Strategy:
Sample Size: The backtest produced 131 closed trades — above the ~100-trade floor for statistical relevance, though still a relatively short window. The 88.55% win rate and 2.764 profit factor reflect favorable conditions over the test period; treat them as indicative rather than a forward-performance guarantee. Extend the window or run across multiple assets to build a larger sample.
Lower-Timeframe Sensitivity: Tested on a 3-minute chart with a 3-minute RSI trigger. Lower timeframes generate more signals but are more sensitive to noise and fees. Confirm the trade frequency and fee drag fit your execution venue before deploying.
Stop Loss Discipline: The 8% Stop Loss is the defining risk control. With the base plus three averaging orders, maximum deployed capital is ~1,250 USDT (12.5% of default equity); an 8% stop on that position bounds the worst-case loss to roughly 1% of equity. Keep the stop enabled — removing it converts this into an unbounded martingale short.
Trend Risk: Fading overbought conditions works best in ranges and choppy regimes. In a strong, sustained uptrend the short can hit the 8% stop repeatedly. The RSI-crossing-down trigger reduces but does not eliminate this; pair with regime awareness.
Commission Calibration: The default 0.06% commission is calibrated for Bybit perpetual taker conditions. Match it to your exchange's actual fees — on a high-frequency lower-timeframe strategy, fee mismatch materially shifts results.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:DOTUSDT.P (Perpetual) — portable to any DOT / USDT pair.
Timeframe: 3M chart (3M RSI trigger).
Test Period: March 23, 2026 — June 17, 2026 (~2.8 months).
Initial Capital: 10,000 USDT.
Order Size: 500 USDT base (5%) + 3 averaging orders of 250 USDT each (uniform).
Max Capital Deployed: ~1,250 USDT per trade (~12.5% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Short Positions: 100% (1× leverage, Isolated in source config).
Indicator Settings: Default Configuration.
Base Order: 500 USDT, Limit by default (Market toggle available).
Entry Trigger: 3m RSI(9) Crossing Down 80.
Averaging Orders: 3 with fixed deviations +1% / +2% / +3% above base entry; uniform 250 USDT sizing.
Take Profit: 1.3% below average entry, with 0.3% trailing.
Stop Loss: 8% above average entry (hard close).
Strategy: Short Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +389.13 USDT (+3.89%)
Max Equity Drawdown: 165.35 USDT (1.62%)
Total Closed Trades: 131
Percent Profitable: 88.55% (116 / 131)
Profit Factor: 2.764
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the averaging-order count/deviation/size, the RSI trigger level, the Take Profit and Trailing percentages, and the Stop Loss. Defaults mirror the source DCA Bot configuration — recalibrate per asset and timeframe.
🔸 Results Review: This configuration produced 131 closed trades over the test window — above the ~100-trade floor for statistical relevance. Confirm the win rate, drawdown, and trade frequency fit your risk tolerance before deploying capital.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each averaging order, and exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the initial short.
Use LIMIT for Base: Toggle between Limit (default) and Market entry.
Averaging Orders per Trade: Number of safety orders (default 3).
First AO Size (USDT): Size of each averaging order (uniform by default).
Deviation to First AO (%) / Deviation Step Multiplier: Spacing of the AO ladder above base entry. Defaults to uniform +1% steps.
Order Size Multiplier: Per-rung size scaling (1.0 = uniform).
RSI Timeframe / Length / Crossing Down Level: The 3m RSI(9) crossing-down trigger for the base short.
Take Profit (%) / Trailing (%): TP distance below average entry and the trailing retrace that closes the position.
Stop Loss (%): Hard stop above average entry.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle DCA Ladder, Avg / TP / SL plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Strategy
[3Commas] TAO RSI Oversold Doubling DCA - Long Indicator TAO RSI Oversold Doubling DCA - Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a TAO dip-buying workflow with an aggressive doubling-martingale safety ladder. It tracks one virtual long position at a time, opened only when TAO prints a deep oversold reading on 4-hour RSI. Five safety orders fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes doubling on every rung. Exit is a fixed 3% Take Profit from average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL — all derived from honest fill-by-fill bookkeeping. Every event emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
- Selective oversold entry: 4h RSI < 28.
- Non-uniform fixed-deviation safety ladder: −2%, −5%, −9.5%, −16%, −25% from base entry.
- Doubling safety-order sizes: 1k / 2k / 4k / 8k / 16k USDT from a $500 base.
- Tight 3% Take Profit from the averaged-down entry — quick deal close once price stabilizes.
- Honest virtual bookkeeping: Open PnL and lifetime Total PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders running a DCA Bot on TAO who want to buy deep oversold dips.
- DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves.
- Bot operators who want a chart-driven signal source that emits per-event JSON ready for a DCA Bot.
- Traders comfortable with a doubling martingale ladder deploying up to ~31.5% of equity per trade in exchange for a high deal-close rate.
🔷 How does it work:
Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips.
Base Entry: When the gate is satisfied, the indicator marks a virtual long entry, captures the base entry price, and seeds the cost-basis ledger with the configured base order size (default 500 USDT).
Safety Order Ladder (Fixed Deviations, Doubling Sizes): After base fill, the indicator monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fills at close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. USDT sizes double from a 1,000 first AO: 1,000 / 2,000 / 4,000 / 8,000 / 16,000. Each fill updates the running cost-basis and dispatches its own webhook payload.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, Open PnL, and Total PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut from base entry, no synthetic averaging.
Lifetime Total PnL: When the position closes for profit, the realized PnL from that cycle accumulates into a lifetime counter. The status table displays both Open PnL (current cycle, resets on exit) and Total PnL (lifetime, persists across the chart history) — giving traders a real-time read on cumulative performance without a backtest engine.
Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the close webhook fires, realized PnL accumulates, and the virtual position resets.
🔷 Why it's unique:
- Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip.
- Non-Uniform Fixed-Deviation Ladder: Most published DCA tools use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves and the lowest rung sits a full 25% below base.
- Doubling Martingale: 1 / 2 / 4 / 8 / 16 / 32 size progression scales position capital exponentially if the position runs adverse, but is hard-bounded by the 5-rung ladder.
- Lifetime PnL Tracking: Open PnL and Total PnL are displayed live on the chart — Open resets per cycle, Total persists across the entire chart history. The indicator gives strategy-tester-equivalent insight without running a backtest.
- Per-Event Webhook Ledger: Up to seven discrete events per cycle (entry + 5 AO fills + TP), each with its own JSON alert payload. One PulseWire alert with "Any alert() function call" drives a DCA Bot end-to-end.
🔷 Considerations Before Using the Indicator:
Sample Size: The companion strategy's backtest produced 89 closed trades over a ~26-month window — just below the ≥100 floor typically used for statistical confidence. The high win rate and profit factor reflect favorable conditions and the averaging mechanic, not a deterministic edge. Treat them as indicative of how the ladder behaves, not a forward-performance guarantee.
Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches 31,500 USDT = ~31.5% of the default reference equity. The doubling martingale amplifies both upside on recovery and risk if the lower bound breaks. Match the indicator's per-AO allocation to your bot's configuration to keep the avg-entry display honest.
No Stop Loss: There is no exit signal on adverse moves below AO5 (−25% from base). If price keeps falling, the virtual position holds unhedged until either price recovers to the 3% TP target or the user intervenes. Risk is structurally capped on the bot side by the bounded position ladder; if a hard exchange-side stop is required, configure it on the bot directly.
Martingale Tail Risk: A doubling ladder that bottoms out at −25% is built for mean-reverting moves. TAO is a high-volatility asset; a sustained directional collapse below −25% leaves the full virtual position open with no further averaging available — the single largest risk in any martingale DCA. Choose regimes where deep-but-recoverable dips are the norm.
Cross Detection Granularity: Entries and AO fills are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position state is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live Total PnL counter in the status table gives a running approximation. For full metrics over a ~26-month sample (89 closed trades, 77.53% win rate, 6.29% max drawdown, profit factor 7.259, +7.56% net return), use the companion strategy version on identical parameters.
🔷 How to Use It:
🔸 Add the indicator to a 4h TAO / USDT chart.
🔸 Review the RSI entry level, the five AO deviations and sizes, and the Take Profit percentage. Defaults are calibrated for TAO 4h — recalibrate when the asset's volatility regime shifts.
🔸 Set Base Order Size and AO sizes to match your bot's configuration (the indicator's avg-entry display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_TAO).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit JSON payloads for entry, each safety order, and TP exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): Virtual order size for the avg-entry / open-PnL computation.
AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5.
AO1–AO5 Size (USDT): Virtual USDT amount of each safety order. Doubles at each rung by default.
RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry.
Take Profit (%): Fixed distance above the running average entry where the virtual long closes.
Active Window: Optional date filter — when ON, the indicator only fires signals between From and To dates.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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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
[3Commas] TAO RSI Oversold Doubling DCA - Long Strategy TAO RSI Oversold Doubling DCA — Long Strategy
🔷 What it does:
This is a long-only DCA strategy with a selective oversold entry and an aggressive martingale safety-order ladder. A long entry opens only when the 4-hour RSI falls below 28 (deep oversold). Five safety orders then fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes doubling on every rung ($1,000 → $2,000 → $4,000 → $8,000 → $16,000). Exit is a fixed 3% Take Profit from average entry. No trailing, no Stop Loss.
- Single base order with up to five safety orders on a non-uniform fixed-deviation ladder reaching −25% below base.
- Aggressive size doubling: 1 / 2 / 4 / 8 / 16 / 32 unit progression from a $500 base.
- Tight 3% Take Profit from average entry — the averaging ladder pulls the average down so a small recovery closes the deal in profit.
- Single entry filter: deeply oversold 4h RSI — a clean, selective trigger.
- Every entry, safety order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Swing traders looking for long exposure on TAO when it prints deep oversold readings on the 4h.
- DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves.
- Bot operators who want to drive a DCA Bot via webhook with per-event JSON payloads tagged for each base / safety order / exit action.
- Traders comfortable with a doubling martingale ladder deploying up to ~31.5% of equity per trade in exchange for a high deal-close rate.
🔷 How does it work:
Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips.
Base Order: Sized at 500 USDT default (0.5% of 100k capital). Configurable as Market (default) or Limit at the bar's close.
Safety Order Ladder (Fixed Deviations, Doubling Sizes): After the base fill, the strategy monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fires when close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. Sizes double from a 1,000 USDT first AO: 1,000 / 2,000 / 4,000 / 8,000 / 16,000.
Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the position closes at market. No trailing, no Stop Loss.
Why the Ladder Works: Each doubling safety order weights the average entry heavily toward the lowest fills. After several rungs fill, the average sits well below base, so a modest 3% bounce off the lows is enough to close the whole deal in profit — the core mechanic of a doubling DCA bot.
🔷 Why it's unique:
- Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip.
- Non-Uniform Fixed-Deviation Ladder: Most published DCAs use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves and the lowest rung sits a full 25% below base.
- Doubling Martingale: 1 / 2 / 4 / 8 / 16 / 32 size progression is more aggressive than typical 1.05–1.5× compounding. Capital deployed scales exponentially if the position runs adverse, but is hard-bounded by the 5-rung ladder.
- Tight Recovery Target: The 3% Take Profit on the averaged-down entry closes deals quickly once price stabilizes, keeping the win rate high and holding times short relative to the depth of the ladder.
- DCA Bot Integration: Every event (base, AO 1–5, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer.
🔷 Considerations Before Using the Strategy:
Sample Size: The backtest produced 89 closed trades — just below the ≥100 floor typically used for statistical confidence. The 77.53% win rate and high profit factor reflect favorable conditions over the test window and the averaging mechanic, not a deterministic edge. Treat these numbers as indicative of how the ladder behaves, not a forward-performance guarantee. Extend the test window or run the strategy across multiple assets to build a larger sample before committing capital.
Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches $31,500 = ~31.5% of default 100k equity — above PulseWire's typical 5–10% per-trade band. Size the base and AO inputs down to dial per-trade risk into a safer range. The doubling martingale amplifies both upside (when price recovers) and risk (if the lower bound breaks).
No Stop Loss: There is no exit on adverse moves below the −25% AO5. If price keeps falling below the lowest safety order, the position holds unhedged until either price recovers to the 3% TP target or the user intervenes. The structural risk cap is the bounded 5-rung position ladder; if a hard exchange-side stop is required, layer it on the bot directly.
Martingale Tail Risk: A doubling ladder that bottoms out at −25% is built for mean-reverting moves. TAO is a high-volatility asset; a sustained directional collapse below −25% leaves the full position open with no further averaging available — the single largest risk in any martingale DCA. Choose regimes where deep-but-recoverable dips are the norm.
Commission Calibration: The default 0.06% commission is calibrated for perpetual taker conditions. Match it to your exchange's actual fees.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:TAOUSDT.P (Perpetual) — portable to any TAO / USDT pair.
Timeframe: 4H
Test Period: April 11, 2024 — June 15, 2026 (~26 months).
Initial Capital: 100,000 USDT.
Order Size per Trade: 0.5% of Capital base + 5 safety orders with size doubling.
Max Capital Deployed: $31,500 per trade (~31.5% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Base Order: 500 USDT, Market by default (Limit toggle available).
Take Profit: 3.0% above average entry (no trailing).
Stop Loss: None — bounded position size is the structural risk cap.
Entry Filter: 4h RSI(14) Less Than 28.
Safety Orders: 5 with fixed deviations −2% / −5% / −9.5% / −16% / −25% from base entry; sizes 1k / 2k / 4k / 8k / 16k USDT.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +7,556.08 USDT (+7.56%)
Max Equity Drawdown: 6,321.40 USDT (6.29%)
Total Closed Trades: 89
Percent Profitable: 77.53% (69 / 89)
Profit Factor: 7.259
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the five AO deviations and sizes, the RSI entry level, and the Take Profit percentage. Defaults are calibrated for TAO 4h — recalibrate when the asset's volatility regime shifts.
🔸 Results Review: The backtest produced 89 closed trades — just below the ~100-trade floor for statistical relevance, over a ~26-month window. Treat the metrics as indicative of the ladder's behavior; a larger sample increases confidence. Confirm that the trade frequency and the doubling ladder's max deployment fit your risk tolerance before deploying capital.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each safety order, and exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the long entry.
Use LIMIT for Base: Toggle between Market (default) and Limit at bar close.
AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5.
AO1–AO5 Size (USDT): USDT amount of each safety order. Doubles at each rung by default.
RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry.
Take Profit (%): Fixed distance above average entry where the long closes for profit.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Strategy
[3Commas] XAUT RSI Reversal DCA - Short Indicator XAUT RSI Reversal DCA — Short Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a short-side mean-reversion workflow on XAUT / USDT (Tether Gold). It tracks one virtual short position at a time, opened when the 3-minute RSI(9) crosses down through 80 (overbought momentum rollover). Up to three averaging orders fill at fixed deviations ABOVE base entry (+1%, +2%, +3%) with uniform sizing. Exit is a 1.3% Take Profit with a 0.3% trailing retrace, plus a hard 8% Stop Loss. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL — all from honest fill-by-fill bookkeeping. Every event emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
- Momentum-exhaustion trigger: 3m RSI(9) crossing DOWN through 80.
- Uniform DCA ladder: +1% / +2% / +3% above base entry, equal sizing.
- Tight 1.3% Take Profit with a 0.3% trailing lock, and a hard 8% Stop Loss.
- Honest virtual bookkeeping: Open PnL and lifetime Total PnL displayed live on the chart.
🔷 Who is it for:
- Intraday traders fading overbought spikes on gold-pegged XAUT on lower timeframes.
- Bot operators who want a chart-driven signal source that emits per-event JSON ready for a DCA Bot.
- Traders who want a defined-risk short signal — modest averaging plus a hard stop — rather than an open-ended martingale.
- Operators tracking staged position management (entry, up to three averaging fills, single exit) directly on the chart without the strategy-tester overhead.
🔷 How does it work:
Entry Trigger: A 3-minute RSI(9) is sampled via request.security with lookahead disabled (no repaint). The base short opens when that RSI crosses DOWN through 80 — the prior 3m close was ≥ 80 and the current is below it, marking the moment overbought momentum rolls over.
Base Entry: When the trigger fires, the indicator marks a virtual short, captures the base entry price, and seeds the cost-basis ledger with the configured base order size (default 500 USDT).
Averaging Orders (Uniform DCA Ladder): After base fill, the indicator monitors price deviation above the base entry. Each averaging order has a fixed deviation — +1%, +2%, +3% — with uniform sizing (250 USDT each). Each fill updates the running cost-basis and dispatches its own webhook payload, raising the virtual average entry.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, Open PnL, and Total PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut from base entry, no synthetic averaging.
Exit (TP + Trailing): A 1.3% Take Profit below the running average entry arms a trailing exit. Once price trades through the TP level, the indicator tracks the in-favor low and signals a close when price retraces 0.3% off that low.
Stop Loss: A hard 8% Stop Loss above the average entry. If price runs against the short past that level, the close webhook fires, realized PnL accumulates, and the virtual position resets.
Lifetime Total PnL: When a cycle closes, its realized PnL accumulates into a lifetime counter. The status table displays both Open PnL (current cycle, resets on exit) and Total PnL (lifetime, persists across chart history).
🔷 Why it's unique:
- Momentum-Exhaustion Trigger: Rather than signaling on any overbought reading, the short opens specifically on the RSI crossing DOWN through 80 — the rollover moment — filtering out signals that fire while momentum is still climbing.
- Defined-Risk DCA: A modest 3-rung uniform ladder AND an 8% hard stop, so the worst-case loss per cycle is bounded and known in advance.
- Trailing Take Profit: The 1.3% target arms a 0.3% trailing exit rather than a fixed limit — capturing the reversion snap and then riding any follow-through.
- Lifetime PnL Tracking: Open PnL and Total PnL are displayed live on the chart — strategy-tester-equivalent insight without running a backtest.
- Per-Event Webhook Ledger: Up to six discrete events per cycle (entry + 3 AO fills + TP or SL), each with its own JSON alert payload. One PulseWire alert with "Any alert() function call" drives a DCA Bot end-to-end.
🔷 Considerations Before Using the Indicator:
Sample Size (Important): The companion strategy's backtest produced only 25 closed trades with no losers — far below the ~100-trade floor for statistical relevance. A 100% win rate over so few trades is a consequence of a small, favorable window, NOT a deterministic edge, and must not be extrapolated. Validate over a much longer window and across multiple assets, and expect losing trades in any realistic sample.
Short Execution Venue: This signals shorts. Live shorting of XAUT requires a margin or perpetual venue — it cannot run on a spot account.
Lower-Timeframe Sensitivity: The trigger runs on a 3-minute RSI. Lower timeframes generate more signals but are more sensitive to noise and fees. Confirm trade frequency and fee drag fit your execution venue.
Stop Loss Discipline: The 8% Stop Loss is the defining risk control. With base plus three averaging orders, maximum deployed capital is ~1,250 USDT (12.5% of the default reference equity); an 8% stop on that bounds the worst-case loss to roughly 1% of equity. Keep the stop enabled — removing it converts this into an unbounded martingale short.
Trend Risk: Fading overbought conditions works best in ranges and choppy regimes. In a strong sustained uptrend the short can hit the 8% stop repeatedly. The RSI-crossing-down trigger reduces but does not eliminate this.
Cross Detection Granularity: Entries, AO fills, and exits are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position state is rebuilt from chart history each time the indicator is recompiled. If added mid-deployment or if the live bot diverges (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live Total PnL counter gives a running approximation. For full metrics over a ~2.9-month sample (25 closed trades, 100% win rate, 0.83% max drawdown, undefined profit factor, +1.25% net return), use the companion strategy version on identical parameters — and read the Sample Size note above before relying on those figures.
🔷 How to Use It:
🔸 Add the indicator to a 3m XAUT / USDT chart.
🔸 Review the RSI trigger level, the averaging-order count/deviation/size, the Take Profit, Trailing, and Stop Loss percentages. Defaults mirror the source DCA Bot configuration.
🔸 Set Base Order Size and AO sizes to match your bot's configuration (the avg-entry display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_XAUT).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit JSON payloads for entry, each averaging order, and the TP/SL exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): Virtual order size for the avg-entry / open-PnL computation.
Averaging Orders per Trade: Number of safety orders (default 3).
First AO Size (USDT): Virtual size of each averaging order (uniform by default).
Deviation to First AO (%) / Deviation Step Multiplier: Spacing of the AO ladder above base entry. Defaults to uniform +1% steps.
Order Size Multiplier: Per-rung size scaling (1.0 = uniform).
RSI Timeframe / Length / Crossing Down Level: The RSI(9) crossing-down trigger (default 3m).
Take Profit (%) / Trailing (%): TP distance below average entry and the trailing retrace that closes the position.
Stop Loss (%): Hard stop above average entry.
Active Window: Optional date filter — when ON, the indicator only fires signals between From and To dates.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle DCA Ladder, Avg / TP / SL plot lines, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Indicator
[3Commas] XAUT RSI Reversal DCA - Short Strategy XAUT RSI Reversal DCA - Short Strategy
🔷 What it does:
This is a short-only DCA strategy that fades overbought momentum on XAUT / USDT (Tether Gold). A short deal opens when the 3-minute RSI(9) crosses down through 80 — a momentum-exhaustion signal after a fast push higher. Up to three averaging orders then fill at fixed deviations ABOVE the base entry (+1%, +2%, +3%) with uniform sizing, pulling the average entry up if price keeps rising. Exit is a 1.3% Take Profit from the average entry with a 0.3% trailing retrace, and a hard 8% Stop Loss caps the downside.
- Single base order plus up to three uniform averaging orders on a fixed +1% / +2% / +3% ladder.
- Tight 1.3% Take Profit with a 0.3% trailing lock — captures the mean-reversion snap-back, then trails to squeeze a little extra.
- Hard 8% Stop Loss closes the trade if the short keeps running against the position — a real, bounded per-trade risk.
- Every entry, averaging order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Intraday traders fading overbought spikes on gold-pegged XAUT on lower timeframes.
- Bot operators who want to drive a DCA Bot short deal from PulseWire alerts with per-event JSON payloads.
- Traders who want a mechanical short with a defined stop, modest averaging, and a quick profit target rather than an open-ended hold.
- Operators looking for a low-correlation, short-side contributor (a gold-tracking asset) alongside crypto strategies.
🔷 How does it work:
Entry Trigger: A 3-minute RSI(9) is sampled via request.security with lookahead disabled (no repaint). The base short opens when that RSI crosses DOWN through 80 — i.e., the prior 3m close was ≥ 80 and the current is below it, marking the moment overbought momentum rolls over.
Base Order: Sized at 500 USDT default (5% of 10k capital), placed as a Limit order at the signal bar's close (Market toggle available).
Averaging Orders (Uniform DCA Ladder): After the base fill, the strategy monitors price deviation above the base entry. Each averaging order has a fixed deviation — +1%, +2%, +3% — with uniform sizing (250 USDT each, half the base). If price rises against the short, each rung adds size and raises the average entry, so a smaller reversal is needed to reach Take Profit.
Exit (TP + Trailing): A 1.3% Take Profit below the running average entry arms a trailing exit. Once price trades through the TP level, the strategy tracks the in-favor low and closes when price retraces 0.3% off that low — locking the move while letting it extend.
Stop Loss: A hard 8% Stop Loss above the average entry. If price runs against the short past that level, the position closes at market. This is the strategy's defined, bounded per-trade risk.
🔷 Why it's unique:
- Momentum-Exhaustion Trigger: Rather than shorting any overbought reading, the deal opens specifically on the RSI crossing DOWN through 80 — the rollover moment — which filters out trades that fire while momentum is still climbing.
- Defined-Risk DCA: Most martingale DCA shorts run without a stop. This one keeps a modest 3-rung uniform ladder AND an 8% hard stop, so the worst-case loss per deal is bounded and known in advance.
- Trailing Take Profit: The 1.3% target arms a 0.3% trailing exit rather than a fixed limit — capturing the reversion snap and then riding any follow-through.
- DCA Bot Integration: Every event (base, AO 1–3, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer.
🔷 Considerations Before Using the Strategy:
Sample Size (Important): The backtest produced only 25 closed trades — far below the ~100-trade floor for statistical relevance. The 100% win rate and the undefined profit factor (no losing trades in the sample) are a direct consequence of this tiny, favorable window — they are NOT evidence of a deterministic edge and should not be extrapolated. Treat these numbers purely as a demonstration of the mechanic, run the strategy over a much longer window and across multiple assets, and expect losing trades in any realistic sample.
Short Execution Venue: This is a short strategy. It cannot be executed on a spot account — live shorting of XAUT requires a margin or perpetual venue. Backtest figures shown here were generated on the XAUTUSDT chart; confirm your live venue supports shorts before deploying.
Lower-Timeframe Sensitivity: Tested on a 3-minute chart with a 3-minute RSI trigger. Lower timeframes generate more signals but are more sensitive to noise and fees. Confirm trade frequency and fee drag fit your execution venue.
Stop Loss Discipline: The 8% Stop Loss is the defining risk control. With the base plus three averaging orders, maximum deployed capital is ~1,250 USDT (12.5% of default equity); an 8% stop on that position bounds the worst-case loss to roughly 1% of equity. Keep the stop enabled — removing it converts this into an unbounded martingale short.
Trend Risk: Fading overbought conditions works best in ranges and choppy regimes. In a strong, sustained uptrend the short can hit the 8% stop repeatedly. The RSI-crossing-down trigger reduces but does not eliminate this.
Commission Calibration: The default 0.06% commission is calibrated for Bybit perpetual taker conditions. Match it to your exchange's actual fees.
🔷 STRATEGY PROPERTIES
Symbol: XAUTUSDT — short execution requires a margin or perpetual venue.
Timeframe: 3M chart (3M RSI trigger).
Test Period: March 16, 2026 — June 12, 2026 (~2.9 months).
Initial Capital: 10,000 USDT.
Order Size: 500 USDT base (5%) + 3 averaging orders of 250 USDT each (uniform).
Max Capital Deployed: ~1,250 USDT per trade (~12.5% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Short Positions: 100% (1× leverage, Isolated in source config).
Indicator Settings: Default Configuration.
Base Order: 500 USDT, Limit by default (Market toggle available).
Entry Trigger: 3m RSI(9) Crossing Down 80.
Averaging Orders: 3 with fixed deviations +1% / +2% / +3% above base entry; uniform 250 USDT sizing.
Take Profit: 1.3% below average entry, with 0.3% trailing.
Stop Loss: 8% above average entry (hard close).
Strategy: Short Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance. This is a small (25-trade) sample — see the Sample Size note above.
Net Profit: +124.66 USDT (+1.25%)
Max Equity Drawdown: 83.27 USDT (0.83%)
Total Closed Trades: 25
Percent Profitable: 100.00% (25 / 25)
Profit Factor: n/a — no losing trades in this small sample (profit factor undefined)
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the averaging-order count/deviation/size, the RSI trigger level, the Take Profit and Trailing percentages, and the Stop Loss. Defaults mirror the source DCA Bot configuration — recalibrate per asset and timeframe.
🔸 Results Review: This configuration produced only 25 closed trades with no losers — far too few to be statistically meaningful. Extend the backtest window substantially and/or test across multiple assets before drawing any conclusion; expect a realistic win rate well below 100% over a larger sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each averaging order, and exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the initial short.
Use LIMIT for Base: Toggle between Limit (default) and Market entry.
Averaging Orders per Trade: Number of safety orders (default 3).
First AO Size (USDT): Size of each averaging order (uniform by default).
Deviation to First AO (%) / Deviation Step Multiplier: Spacing of the AO ladder above base entry. Defaults to uniform +1% steps.
Order Size Multiplier: Per-rung size scaling (1.0 = uniform).
RSI Timeframe / Length / Crossing Down Level: The 3m RSI(9) crossing-down trigger for the base short.
Take Profit (%) / Trailing (%): TP distance below average entry and the trailing retrace that closes the position.
Stop Loss (%): Hard stop above average entry.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle DCA Ladder, Avg / TP / SL plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Strategy
[3Commas] Dual RSI DCA INJ- Long Indicator Dual RSI DCA INJ - Long Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a dollar-cost averaging long workflow with a dual RSI confirmation system. It identifies oversold reversal entries on the host chart using a lower-timeframe RSI cross-up, tracks a virtual position with up to five averaging fills on a deviation ladder, and fires the exit when the lower-timeframe RSI crosses down from overbought — but only after a minimum profit threshold from the running average entry has been reached.
- Base entry signal arms on a lower-timeframe RSI(14) crossing up the oversold level (default 31 on 3m).
- Up to five safety orders fire automatically as price ladders down, on a 1.3% step / 1.3 step multiplier / 1.25 size multiplier progression.
- Take profit fires only when the lower-timeframe RSI crosses down the overbought level (default 69) AND minimum profit (default 2.4%) from average entry has been reached.
- Every event emits a webhook-ready JSON alert payload formatted for direct DCA Bot consumption.
🔷 Who is it for:
- Swing traders running a DCA Bot on crypto pairs that frequently mean-revert from local extremes.
- Traders who want a clean oversold-to-overbought signal flow without the strategy-tester overhead.
- Bot operators looking for a chart-driven signal source that ships webhook JSON natively, with no glue scripts required.
- Anyone who wants to monitor a virtual DCA position with full transparency on average entry, fills, and deployed capital — directly on the chart.
🔷 How does it work:
Lower-Timeframe RSI Cross-Up: The indicator polls a lower-timeframe RSI through request.security and checks for a cross above the oversold level at each host-bar close. When the cross fires AND the indicator is flat, the base-entry event triggers, the virtual position state is initialized, and the entry webhook payload is dispatched.
Virtual Position Tracking: Once entered, the indicator captures the entry price, base USDT size, and seeds running totals of cost and asset units. Each subsequent safety order updates those totals so the average entry, total deployed capital, and profit zone are always derived from honest fill-by-fill bookkeeping.
Safety Order Ladder: Five deviation thresholds are pre-computed from the base entry (1.30%, 2.99%, 5.18%, 8.04%, 11.75% at default settings). When the close price reaches the next threshold, the corresponding safety-order signal fires, the virtual position updates, and the AO webhook payload is emitted. No RSI gating on the ladder — it's pure price action.
Take Profit Logic: Once price reaches the minimum-profit threshold above the running average entry, the exit becomes armed. The close signal then fires only when the lower-timeframe RSI crosses down from the overbought level — the indicator does not exit just because profit is reached, it waits for momentum confirmation.
🔷 Why it's unique:
- Dual-RSI Architecture: Two independent lower-timeframe RSI cross conditions — one gates the entry, one gates the exit. Most DCA tools use a filter on only one end of the deal; this one filters both.
- Profit-Armed Exit: The take profit does not fire on a static target. It waits for RSI to roll over from overbought, allowing winners to run while still requiring minimum profit before any close is considered.
- Honest Virtual Tracking: Average entry, total cost, deployed capital, and minimum-profit target are all computed from the same fill-by-fill bookkeeping a real broker would do. No price-from-base shortcuts.
- Webhook-First Design: Every event (base, each safety order, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the indicator drives the bot end-to-end.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Calibrated for INJUSDT perpetual on 3m with active mean-reversion behavior. Default RSI levels (31/69) are set for liquid volatility; thin or strongly trending pairs may need recalibration.
Cross Detection Granularity: LTF RSI cross detection happens at host-bar close. A cross that completes and reverses inside a single host bar may be missed by design — this prevents over-signaling on intra-bar noise.
No Stop Loss: There is no exit signal on adverse moves beyond the safety-order ladder. Risk is structurally capped by the bounded position-size sequence — at default settings, base + all five safety orders deploy roughly 9.93% of equity, keeping the trade within the conventional 5–10% risk band. If a hard stop is required, layer it on the bot side.
Live vs Historical State: The virtual position state is rebuilt from the chart history each time the indicator is recompiled. If the indicator is added mid-trade 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. For performance metrics over a ~2.9-month sample (102 closed trades, 84.31% win rate, 1.98% max drawdown, profit factor 15.628, +2.23% net return), use the companion strategy version on identical parameters. The 102-trade sample is just above the ~100-trade floor for statistical relevance — treat the metrics as indicative.
🔷 How to Use It:
🔸 Add the indicator to a 3m INJ / USDT chart.
🔸 Configure the order sizing inputs to match the DCA Bot's settings (base order size, first AO size, multipliers).
🔸 Set the entry RSI level (default 31) and exit RSI level (default 69) — these are the two RSI gates.
🔸 Set the minimum profit threshold (default 2.4%) — exits will not fire below this.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_INJ).
🔸 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 fully-formed JSON payloads for each event — no integration layer required.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT size of the initial entry. Used for the virtual avg-entry computation.
First AO Size (USDT): USDT size of the first safety order. Subsequent safety orders scale by the Size Multiplier.
Order Size Multiplier: Factor that grows each subsequent safety order's USDT size (default 1.25).
Averaging Orders per Trade: Maximum number of safety orders allowed per cycle (default 5).
Deviation to First AO (%): Distance from base entry where the first safety order becomes eligible (default 1.3%).
Deviation Step Multiplier: Ladder factor that widens each subsequent deviation step (default 1.3).
Entry RSI Timeframe / Length / Level: Lower-timeframe RSI configuration for the oversold cross-up entry (default 3m / 14 / 31).
Exit RSI Timeframe / Length / Level: Lower-timeframe RSI configuration for the overbought cross-down exit (default 3m / 14 / 69).
Minimum Profit (%): Threshold above the running average entry that must be reached before the exit signal can fire (default 2.4%).
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle the DCA Ladder, Signal Labels, Signal Triangles, Avg-Entry / Min-TP plots, and Status Table.
Brand Watermark: Configurable text, position (9 options), 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] SOL RSI Reversal DCA - Short Indicator SOL RSI Reversal DCA - Short Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a short-side mean-reversion workflow on SOL / USDT. It tracks one virtual short position at a time, opened when the 3-minute RSI(9) crosses down through 80 (overbought momentum rollover). Up to three averaging orders fill at fixed deviations ABOVE base entry (+1%, +2%, +3%) with uniform sizing. Exit is a 1.3% Take Profit with a 0.3% trailing retrace, plus a hard 8% Stop Loss. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL — all from honest fill-by-fill bookkeeping. Every event emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
- Momentum-exhaustion trigger: 3m RSI(9) crossing DOWN through 80.
- Uniform DCA ladder: +1% / +2% / +3% above base entry, equal sizing.
- Tight 1.3% Take Profit with a 0.3% trailing lock, and a hard 8% Stop Loss.
- Honest virtual bookkeeping: Open PnL and lifetime Total PnL displayed live on the chart.
🔷 Who is it for:
- Intraday traders fading overbought spikes on SOL on lower timeframes.
- Bot operators who want a chart-driven signal source that emits per-event JSON ready for a DCA Bot.
- Traders who want a defined-risk short signal — modest averaging plus a hard stop — rather than an open-ended martingale.
- Operators tracking staged position management (entry, up to three averaging fills, single exit) directly on the chart without the strategy-tester overhead.
🔷 How does it work:
Entry Trigger: A 3-minute RSI(9) is sampled via request.security with lookahead disabled (no repaint). The base short opens when that RSI crosses DOWN through 80 — the prior 3m close was ≥ 80 and the current is below it, marking the moment overbought momentum rolls over.
Base Entry: When the trigger fires, the indicator marks a virtual short, captures the base entry price, and seeds the cost-basis ledger with the configured base order size (default 500 USDT).
Averaging Orders (Uniform DCA Ladder): After base fill, the indicator monitors price deviation above the base entry. Each averaging order has a fixed deviation — +1%, +2%, +3% — with uniform sizing (250 USDT each). Each fill updates the running cost-basis and dispatches its own webhook payload, raising the virtual average entry.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, Open PnL, and Total PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut from base entry, no synthetic averaging.
Exit (TP + Trailing): A 1.3% Take Profit below the running average entry arms a trailing exit. Once price trades through the TP level, the indicator tracks the in-favor low and signals a close when price retraces 0.3% off that low.
Stop Loss: A hard 8% Stop Loss above the average entry. If price runs against the short past that level, the close webhook fires, realized PnL accumulates, and the virtual position resets.
Lifetime Total PnL: When a cycle closes, its realized PnL accumulates into a lifetime counter. The status table displays both Open PnL (current cycle, resets on exit) and Total PnL (lifetime, persists across chart history).
🔷 Why it's unique:
- Momentum-Exhaustion Trigger: Rather than signaling on any overbought reading, the short opens specifically on the RSI crossing DOWN through 80 — the rollover moment — filtering out signals that fire while momentum is still climbing.
- Defined-Risk DCA: A modest 3-rung uniform ladder AND an 8% hard stop, so the worst-case loss per cycle is bounded and known in advance.
- Trailing Take Profit: The 1.3% target arms a 0.3% trailing exit rather than a fixed limit — capturing the reversion snap and then riding any follow-through.
- Lifetime PnL Tracking: Open PnL and Total PnL are displayed live on the chart — strategy-tester-equivalent insight without running a backtest.
- Per-Event Webhook Ledger: Up to six discrete events per cycle (entry + 3 AO fills + TP or SL), each with its own JSON alert payload. One PulseWire alert with "Any alert() function call" drives a DCA Bot end-to-end.
🔷 Considerations Before Using the Indicator:
Sample Size: The companion strategy's backtest produced 100 closed trades — at the commonly used floor for statistical relevance, not far above it. The win rate and profit factor reflect favorable conditions over the test window; treat them as indicative, not a forward-performance guarantee.
Lower-Timeframe Sensitivity: The trigger runs on a 3-minute RSI. Lower timeframes generate more signals but are more sensitive to noise and fees. Confirm trade frequency and fee drag fit your execution venue.
Stop Loss Discipline: The 8% Stop Loss is the defining risk control. With base plus three averaging orders, maximum deployed capital is ~1,250 USDT (12.5% of the default reference equity); an 8% stop on that bounds the worst-case loss to roughly 1% of equity. Keep the stop enabled — removing it converts this into an unbounded martingale short.
Trend Risk: Fading overbought conditions works best in ranges and choppy regimes. In a strong sustained uptrend the short can hit the 8% stop repeatedly. The RSI-crossing-down trigger reduces but does not eliminate this.
Cross Detection Granularity: Entries, AO fills, and exits are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position state is rebuilt from chart history each time the indicator is recompiled. If added mid-deployment or if the live bot diverges (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live Total PnL counter gives a running approximation. For full metrics over a ~2.8-month sample (100 closed trades, 87.00% win rate, 2.11% max drawdown, profit factor 1.955, +2.08% net return), use the companion strategy version on identical parameters. Note: those metrics were generated with a 5m RSI trigger; this indicator defaults to a 3m RSI trigger, which will produce a different signal cadence.
🔷 How to Use It:
🔸 Add the indicator to a SOL / USDT chart (3m chart recommended to match the RSI trigger).
🔸 Review the RSI trigger level, the averaging-order count/deviation/size, the Take Profit, Trailing, and Stop Loss percentages. Defaults mirror the source DCA Bot configuration with the RSI moved to 3m.
🔸 Set Base Order Size and AO sizes to match your bot's configuration (the avg-entry display becomes meaningful when virtual sizing matches real sizing).
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_SOL).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit JSON payloads for entry, each averaging order, and the TP/SL exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): Virtual order size for the avg-entry / open-PnL computation.
Averaging Orders per Trade: Number of safety orders (default 3).
First AO Size (USDT): Virtual size of each averaging order (uniform by default).
Deviation to First AO (%) / Deviation Step Multiplier: Spacing of the AO ladder above base entry. Defaults to uniform +1% steps.
Order Size Multiplier: Per-rung size scaling (1.0 = uniform).
RSI Timeframe / Length / Crossing Down Level: The RSI(9) crossing-down trigger (default 3m).
Take Profit (%) / Trailing (%): TP distance below average entry and the trailing retrace that closes the position.
Stop Loss (%): Hard stop above average entry.
Active Window: Optional date filter — when ON, the indicator only fires signals between From and To dates.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle DCA Ladder, Avg / TP / SL plot lines, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Indicator
RSI Return StudyEver wonder what happens after the RSI hits an extreme level on your favorite ticker? This indicator answers that question historically.
What it does:
Finds every instance where the RSI crossed a user-defined trigger level
Measures the forward price return N trading days later
Displays each signal date and return in a clean table
Plots labels on the chart at each signal location
Shows the average return across all historical signals
How to use:
Set "When RSI Touches..." to your oversold level (e.g. 25) or overbought level (e.g. 75)
Set "Calculate Return Days Later" to how many trading days forward you want to measure
Works on any timeframe — bar count is automatically calculated for you
Adjust "Max Results/Labels to Display" to control how much shows on the chart
Notes:
All signals are included in the average regardless of the display limit
Set "Min Bars Between Signals" to 0 to count every RSI cross, or increase it to reduce clustering during volatile periods
Indicator
Relative Strength Index RSI FREE , Multi-Timeframe MTF //BPSMulti-timeframe RSI with up to three timeframes plotted
simultaneously plus a 10-timeframe trend-confluence dashboard.
📊 WHAT IT SHOWS
• Up to 3 RSI lines on chart from independent timeframes
• 10-timeframe dashboard (D → 1m) with RSI values + direction arrows
• Configurable overbought / oversold / middle levels
• Confluence signals when 2 or 3 TFs agree (BULL ▲ / BEAR ▼)
• Optional background highlight on trend confluence
🎯 HOW TO USE
• Trade in direction of higher TF — only long when 4h+ RSI > 50
• Wait for confluence — all 3 TFs agreeing = high-probability setup
• Look for RSI divergence on HTF combined with oversold on LTF for entries
• Use as a filter, not a trigger — pair with structure breaks
🔑 KEYWORDS
RSI, Relative Strength Index, Multi-Timeframe RSI, MTF RSI, RSI
Divergence, Overbought, Oversold, Confluence, RSI Dashboard,
Wilder, Momentum Oscillator
Indicator
LTC RSI Oversold Doubling DCA - Long StrategyLTC RSI Oversold Doubling DCA — Long Strategy
🔷 What it does:
This is a long-only DCA strategy with an extremely selective entry filter and an aggressive martingale safety-order ladder. A long entry opens only when the 4-hour RSI falls below 29 AND the close price is below a configurable ceiling ($61 by default). Four safety orders fire at fixed deviations from base entry (−2.5%, −5%, −10%, −20%) with sizes doubling on every rung ($2,000 → $4,000 → $8,000 → $16,000). Exit is a wide 35% Take Profit from average entry. No trailing, no Stop Loss.
- Single base order with up to four safety orders on a non-uniform fixed-deviation ladder.
- Aggressive size doubling: 1 / 2 / 4 / 8 / 16 unit progression.
- Wide 35% Take Profit — the strategy is built around catching deep oversold reversals and holding for a meaningful recovery, not scalp profits.
- Dual entry filter: deeply oversold RSI AND price below a configurable ceiling — extremely selective trigger.
- Every entry, safety order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Patient swing traders looking for high-confidence long exposure on LTC when it prints deep oversold readings inside a defined price range.
- DCA-style traders comfortable with rare entries (the strategy fires only a handful of times per year by design).
- Bot operators who want to drive a DCA Bot via webhook with per-event JSON payloads tagged for each base / safety order / exit action.
- Traders who can absorb a doubling martingale ladder up to 31% of equity deployed per trade in exchange for a wide 35% profit target.
🔷 How does it work:
Entry Filter (Dual Gate): A 4-hour RSI(14) is sampled via request.security with lookahead disabled. The entry gate requires TWO conditions simultaneously at host-bar close: RSI must be below 29 (deep oversold) AND the close price must be below the configurable ceiling (default $61, set against LTC's historical accumulation zone). Both gates filter out shallow dips and price moves above the strategy's "value zone".
Base Order: Sized at 1,000 USDT default (1% of 100k capital). Configurable as Market (default) or Limit at the bar's close.
Safety Order Ladder (Fixed Deviations, Doubling Sizes): After the base fill, the strategy monitors price deviation against the position. Each safety order has its own fixed deviation from base entry — not a cumulative ladder. AO1 fires when close ≤ base × 0.975 (−2.5%); AO2 at −5%; AO3 at −10%; AO4 at −20%. Sizes double from a 2,000 USDT first AO: 2,000 / 4,000 / 8,000 / 16,000.
Exit: A fixed 35% Take Profit above the running average entry. When close hits the TP target, the position closes at market. No trailing, no Stop Loss.
Why the Wide TP: After a full ladder fill (price drops 20% from base), the average entry sits ~14.25% below base. A 35% TP from that average targets a recovery to ~16% above base — large but achievable on LTC over multi-month timeframes following deep oversold prints. The strategy explicitly trades trade frequency for a high-quality recovery target.
🔷 Why it's unique:
- Extremely Selective Entry: Most DCA tools fire frequently. This one is gated by two independent filters (deep RSI oversold + price ceiling) that almost never align — backtest produced 11 closed trades across 4 years of LTC history.
- Non-Uniform Fixed-Deviation Ladder: Most published DCAs use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing asymmetric ladders like 2.5% / 5% / 10% / 20% — deeper safety orders trigger only on serious adverse moves.
- Doubling Martingale: 1 / 2 / 4 / 8 / 16 size progression is more aggressive than typical 1.05–1.5× compounding. Capital deployed scales exponentially if the position runs adverse, but only inside the defined price ceiling.
- Wide 35% Take Profit: Most DCAs target 1–3%. This one is built around recovery from deep oversold, not scalp profit.
- DCA Bot Integration: Every event (base, AO 1–4, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer.
🔷 Considerations Before Using the Strategy:
Sample Size: The 4-year backtest produced only 11 closed trades — far below the ≥100 floor typically used for statistical confidence. The 100% win rate and profit factor of 1,661 reflect the extreme selectivity of the entry filter (deep oversold + price below $61), not a deterministic edge. Treat these numbers as an indication of the entry filter's discipline, not as a forward-performance guarantee. The strategy assumes LTC continues to revert from oversold prints under $61 — if the asset enters a sustained regime above $61, the strategy will simply not fire.
Aggressive Capital Deployment: If all four safety orders fill, total deployed capital reaches $31,000 = 31% of default 100k equity — above PulseWire's typical 5–10% per-trade band. Size the base and AO inputs down to dial per-trade risk into a safer range. The doubling martingale amplifies both upside (when price recovers) and risk (if the lower bound breaks).
No Stop Loss: There is no exit on adverse moves below the −20% AO4. If price keeps falling below the lowest safety order, the position holds unhedged until either price recovers to the 35% TP target or the user intervenes. The structural risk cap is the bounded position ladder; if a hard exchange-side stop is required, layer it on the bot directly.
Price Ceiling Configuration: The default $61 ceiling was set against LTC's historical accumulation range. Update this input if LTC enters a new structural price regime — the strategy will not fire above the ceiling regardless of RSI readings.
Wide Profit Target: The 35% Take Profit is large by DCA standards. Position holding times can stretch into months or longer as the strategy waits for the recovery. Consider whether the opportunity cost of locked capital fits your portfolio rotation cadence.
Commission Calibration: The default 0.06% commission is calibrated for Bybit perpetual taker conditions. If running on a spot venue (Coinbase, Binance) the actual fee is 0.1–0.6% — update the commission input accordingly. Given the wide TP and low trade frequency, fee impact is modest.
🔷 STRATEGY PROPERTIES
Symbol: COINBASE:LTCUSD (Spot) — portable to any LTC / USDT pair.
Timeframe: 4H
Test Period: May 1, 2022 — May 29, 2026 (~4 years, DEEP historical sample).
Initial Capital: 100,000 USDT.
Order Size per Trade: 1% of Capital base + 4 safety orders with size doubling.
Max Capital Deployed: $31,000 per trade (~31% of equity).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Base Order: 1,000 USDT, Market by default (Limit toggle available).
Take Profit: 35.0% above average entry (no trailing).
Stop Loss: None — bounded position size is the structural risk cap.
Entry Filter: 4h RSI(14) Less Than 29 AND Close Below $61.
Safety Orders: 4 with fixed deviations −2.5% / −5% / −10% / −20% from base entry; sizes 2k / 4k / 8k / 16k USDT.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +13,907.58 USD (+13.91%)
Max Equity Drawdown: 6,503.88 USD (6.50%)
Total Closed Trades: 11
Percent Profitable: 100.00% (11 / 11)
Profit Factor: 1,661.503
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the four AO deviations and sizes, the entry filters (RSI level + price ceiling), and the Take Profit percentage. Defaults are calibrated for LTC 4h — recalibrate the price ceiling whenever LTC's structural range shifts.
🔸 Results Review: The 4-year backtest produced 11 closed trades — a small sample size. Treat the metrics as indicative of the entry filter's discipline, not a forward-performance guarantee. Confirm that the trade frequency and the wide 35% Take Profit fit your portfolio rotation horizon before deploying capital.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each safety order, and exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the long entry.
Use LIMIT for Base: Toggle between Market (default) and Limit at bar close.
AO1 / AO2 / AO3 / AO4 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design.
AO1 / AO2 / AO3 / AO4 Size (USDT): USDT amount of each safety order. Doubles at each rung by default.
RSI Timeframe / Length / Less Than: Lower-timeframe RSI filter for the base entry.
Price Below ($): Absolute price ceiling — entry only fires below this level.
Take Profit (%): Fixed distance above average entry where the long closes for profit.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Price Ceiling line, Avg / TP plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Strategy
RSI Oversold AO - Long StrategyRSI Oversold AO — Long Strategy
🔷 What it does:
This is a long-only DCA strategy that buys oversold dips and continues averaging into them only while the asset stays in the oversold zone. A long entry opens on a lower-timeframe RSI crossing down through 30. Four safety orders then average the position on an aggressive 2× deviation × 2× size ladder — but each one fires only if the lower-timeframe RSI is still below 25 at that moment. No falling-knife averaging into recovering momentum. Exit is a fixed 3% Take Profit from average entry. No trailing, no Stop Loss.
- Single base order with up to four safety orders on a 2× × 2× ladder.
- Dual RSI gating: cross-down entry trigger AND static oversold continuation filter.
- Aggressive size compounding: 60 / 120 / 240 / 480 USDT margins on the four safety orders.
- Fixed Take Profit: 3% above average entry, no trailing.
- Every entry, safety order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Swing traders looking for systematic long exposure on crypto pairs that frequently sweep liquidity into oversold readings.
- DCA-style traders who want averaging gated by momentum continuation, not just price levels — the "no falling knives" guard prevents loading further when momentum has already reversed.
- Bot operators who want to drive a DCA Bot via webhook with per-event JSON payloads tagged for each base / safety order / exit action.
- Traders comfortable with deploying up to ~10% of equity per trade in exchange for a wider 3% profit target.
🔷 How does it work:
Entry RSI Filter (Oversold Cross Down): A 15-minute RSI(7) is sampled via request.security with lookahead disabled. The entry gate fires when RSI crosses down through 30 — momentum has just entered oversold territory. At host-bar close, if no position is open and the cross is fresh, the strategy opens the base order.
Base Order: Sized at 100 USDT default (1% of 10k capital). Configurable as Market (default) or Limit at the bar's close.
Safety Order Ladder (Dual Gate): After the base fill, the strategy monitors two conditions in parallel for each pending safety order: price deviation downward against the position AND a static RSI continuation filter. The k-th safety order fires only when close ≤ base entry × (1 − cumulative deviation) AND the 15-minute RSI(7) is still below 25. Cumulative deviation grows by the step multiplier (default 2×): 1.00%, 3.00%, 7.00%, 15.00%. Each safety order's size grows by the size multiplier (default 2×): 60, 120, 240, 480 USDT.
Why the AO Gate Matters: A pure price-ladder DCA blindly averages into any decline. The RSI < 25 gate stops the averaging if momentum has reversed back above 25 — the asset is no longer oversold by the strategy's definition, and adding to the position would mean buying a recovery, not a dip. This filter trades off some averaging frequency for materially higher average-entry quality.
Exit: A fixed Take Profit at 3% above the running average entry. The strategy closes the moment close ≥ TP target. No trailing, no scaling out, no second-guessing.
🔷 Why it's unique:
- Dual RSI Gating: Most DCA tools gate only the base entry. This strategy gates both the entry (cross-down momentum trigger) and the continuation of averaging (static oversold filter on each safety order).
- Aggressive 2× × 2× Ladder: Most published DCAs use mild 1.05–1.25× compounding. This one doubles both the deviation step and the size each rung — the position gets large fast if all safety orders fill, but only inside a confirmed oversold regime.
- Wide Take Profit (3%): Most scalp DCAs use tight 0.5–1.0% TPs. The 3% target lets the strategy ride the oversold reversal further before locking in, capturing more of the mean-reversion move.
- DCA Bot Integration: Every event (base, AO 1–4, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer.
🔷 Considerations Before Using the Strategy:
Market & Timeframe: Defaults are calibrated for BINANCE:DOGEUSDT spot on 1h. The dual-RSI logic is portable to other liquid crypto pairs that frequently overshoot oversold, but RSI thresholds and the deviation ladder should be reviewed before redeployment.
Sample Size: The 4-month backtest produced 44 closed trades — below the ≥100 floor typically used for statistical confidence. The strategy generates roughly 11 closed trades per month at default settings, so extending the test window to 12+ months would yield ~130 trades and a more robust sample. The 77.27% win rate and 5.791 profit factor are encouraging but should be re-validated on a longer test period before live deployment.
Commission Calibration: The default 0.18% commission was set conservatively above Binance spot taker rates (~0.1%). Live performance with realistic Binance fees should be modestly better than the published numbers. Update the commission input to match your fee tier for accurate forward expectations.
Strong Downtrends: Like any oversold-buying setup, this strategy is positioned for mean reversions, not waterfall declines. In sustained downtrends the strategy will keep filling the ladder while RSI < 25, then hold the position once RSI recovers. The dual RSI filter limits exposure compared to pure price-ladder DCAs, but a regime shift to sustained selling still produces extended underwater hold time.
Aggressive Compounding: The 2× × 2× ladder is more aggressive than typical published DCAs. If all four safety orders fill, the position scales from 100 USDT base to 1,000 USDT total = 10% of equity at default settings. This is right at the upper edge of PulseWire's typical 5–10% per-trade band — comfortable, but no further headroom. Scale base + AO sizes down to dial position risk lower.
No Stop Loss Justification: There is no exit on adverse moves beyond the 4-AO ladder. Per-trade risk is structurally capped by the bounded position-size ladder — at defaults that is 1,000 USDT max deployed = 10% of equity, at the upper edge of the conventional 5–10% per-trade band. If a hard exchange-side stop is required, layer it on the bot directly.
RSI Oversold Continuation: The AO gate uses a static RSI < 25 check, not a cross. This means averaging continues as long as RSI stays below 25 — if RSI dips to 20 and stays there for multiple bars while price drops further, all four AOs can fill in succession. Conversely, a sharp RSI recovery above 25 freezes the ladder mid-position. Test the strategy's behavior on your target asset before live deployment.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability hinges on the asset reaching the 3% TP target while still recovering from an oversold print.
🔷 STRATEGY PROPERTIES
Symbol: BINANCE:DOGEUSDT (Spot)
Timeframe: 1H
Test Period: February 1, 2026 — May 28, 2026 (~4 months).
Initial Capital: 10,000 USDT.
Order Size per Trade: 1% of Capital base + 4 safety orders at 2× progression.
Max Capital Deployed: 1,000 USDT per trade (~10% of equity, upper edge of 5–10% band).
Commission: 0.18% per trade.
Slippage: 3 ticks.
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Base Order: 100 USDT, Market by default (Limit toggle available).
Take Profit: 3.0% above average entry (no trailing).
Stop Loss: None — bounded position size is the structural risk cap.
Entry Filter: 15m RSI(7) Crossing Down 30.
AO Gate: 15m RSI(7) Less Than 25 (static continuation filter).
Safety Orders: 4, Deviation 1.0%, Deviation Step 2.0×, Size Multiplier 2.0×.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +126.22 USDT (+1.26%)
Max Equity Drawdown: 96.05 USDT (0.96%)
Total Closed Trades: 44
Percent Profitable: 77.27% (34 / 44)
Profit Factor: 5.791
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the entry RSI filter (timeframe / length / level), the AO gate RSI filter, the 4-AO ladder parameters, and the Take Profit percentage. Defaults are calibrated for DOGEUSDT 2h — recalibrate per asset before deploying.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays inside your personal risk band. Validate that the closed-trade count is statistically meaningful (≥ 100 is a reasonable floor). Update commission and slippage to match your exchange's actual conditions.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each safety order, and exit — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size (USDT): USDT amount opened on the long entry.
Use LIMIT for Base: Toggle between Market (default) and Limit at bar close.
Averaging Orders per Trade: Maximum number of safety orders per deal (default 4).
First AO Size (USDT): USDT size of the first safety order; subsequent AOs scale by the Size Multiplier.
Deviation to First AO (%): Distance from base entry at which AO1 becomes eligible.
Deviation Step Multiplier: Ladder factor that widens each subsequent deviation step.
Order Size Multiplier: Factor that grows each subsequent safety order's USDT size.
Entry RSI Timeframe / Length / Level: Lower-timeframe RSI filter that gates the base entry on cross down.
AO Trigger RSI Timeframe / Length / Less Than: Lower-timeframe RSI continuation filter that gates each safety order.
Take Profit (%): Fixed distance above average entry where the long closes for profit.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle AO Ladder, Avg / TP plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Strategy
RSI Dip + EMA Trend Long DCA - IndicatorRSI Dip + EMA Trend Long DCA — Leveraged Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a leveraged dip-buying DCA workflow on crypto perpetuals. It tracks one virtual long position at a time, opened only when an oversold dip and an uptrend confirmation align across two lower timeframes. The indicator manages up to four safety orders as price ladders lower, and exits via three independent paths: take profit with trailing, hard stop loss, or a forced close after a maximum holding period. Every event emits a webhook-ready JSON payload tailored for a DCA Bot configured for leveraged futures.
- Dual confirmation entry: RSI(12) crossing down 35 on 5m AND EMA(50) > EMA(100) on 15m.
- Soft-compounding safety ladder: 4 SOs at 1.05× margin progression, deviations 1.00%, 2.20%, 3.64%, 5.37%.
- Three-exit architecture: 1.0% Take Profit with 0.1% trailing, 9% hard Stop Loss, 3-day Max Hold timeout.
- Default leverage 25×, configurable from 1× upward.
- Honest virtual bookkeeping: total notional and qty updated per fill, avg entry / open PnL displayed live.
🔷 Who is it for:
- Active traders running a DCA Bot on leveraged crypto perpetuals who want a systematic dip-buying engine.
- Bot operators who want a chart-driven signal source with per-event JSON ready for a DCA Bot.
- Traders who want to monitor an evolving leveraged position — base entry, owned SO levels, deployed notional, open PnL, time-to-max-hold — directly on the chart.
- Operators comfortable with portfolio-level drawdowns in the 15–20% range in exchange for accelerated returns.
🔷 How does it work:
Entry RSI Filter (Oversold Dip): A 5-minute RSI(12) is sampled via request.security with lookahead disabled. The dip gate fires when RSI crosses down through 35 — momentum has rolled over into oversold.
EMA Trend Filter: A 15-minute EMA(50) and EMA(100) are sampled in parallel. The trend gate is satisfied only while Fast EMA > Slow EMA — broader trend is up. When the EMA cross flips, the dip signal alone cannot open a virtual position.
Entry: When both gates align at host-bar close, the indicator marks a virtual long entry, captures the base entry price, seeds the cost-basis ledger with base margin × leverage notional, and fires the entry webhook payload.
Safety Order Ladder: After base fill, the indicator monitors close price downward against the position. When close reaches base entry × (1 − cumulative deviation), the k-th SO is marked filled, cost-basis is updated, and the SO webhook payload is fired. No additional gating on the SO ladder — pure price.
Honest Virtual Bookkeeping: Total notional and qty are updated incrementally on every event, so the avg entry, deployed notional, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut from base entry, no synthetic averaging.
Exit Priority: Three exits evaluated in order on each bar: (1) Stop Loss at 9% below average entry, (2) Maximum Hold timeout from base entry, (3) Take Profit at 1.0% above average entry with 0.1% trailing — once price reaches the TP target, the position closes only after a 0.1% retrace from the in-favor peak.
🔷 Why it's unique:
- Two-Layer Confirmation: RSI dip on 5m for timing, EMA stack on 15m for trend bias. The two filters operate on different scales — momentum exhaustion alone cannot fire a signal against a confirmed downtrend, and trend alignment alone cannot fire outside a tactical entry window.
- Three-Exit Architecture: Most DCA tools use one or two exit conditions. This indicator handles all three failure modes explicitly — hard tail-risk stop, stuck-trade timeout release, and momentum-trailing winner exit.
- Leverage-Aware Sizing: Margin and leverage are independent inputs. The virtual ledger tracks notional position, so the avg-entry line and open PnL reflect the leveraged broker state, not unleveraged cash-only math.
- Per-Event Webhook Ledger: Up to seven distinct events per cycle (entry + 4 SO fills + close + max-hold/SL), each with its own JSON alert payload. The indicator drives a DCA Bot end-to-end through a single PulseWire alert.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Designed for liquid crypto perpetuals on 15m. Default thresholds are calibrated for XMRUSDT.P 15m. Different pairs may need EMA period and RSI threshold tuning.
Leverage Warning: The default 25× leverage is aggressive. The companion strategy's backtest at default settings produced 18.01% maximum drawdown — substantially above the 5–10% per-trade band, although that figure reflects portfolio-level accumulation across 779 trades, not single-trade risk. Lower the leverage input to dial down portfolio-level drawdown proportionally.
Cross Detection Granularity: Entries and SO fills are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position state is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
No SO Condition: Safety orders fire on pure price ladder with no momentum gate — averaging continues unconditionally as price drops, until SL, MaxHold, or price reversal. Higher average-entry quality in shallow dips; greater unrealized exposure on sharp drops.
Maximum Hold Timeout: The 3-day forced close exists to release capital from stuck trades. The indicator dispatches a close webhook the moment the timeout fires — verify the receiving DCA Bot accepts unconditional close commands.
Funding Rates (Perpetuals): The indicator does not account for perpetual funding rates. Sustained negative funding improves live performance for this long strategy; sustained positive funding degrades it. Review the historical funding pattern before live deployment.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics over a 14-month sample (~779 closed trades, 74.07% win rate, 18.01% max drawdown, profit factor 1.313, +30.79% net return), use the companion strategy version on identical parameters.
🔷 How to Use It:
🔸 Add the indicator to a 15m chart on the leveraged perpetual pair you want to trade.
🔸 Review the entry filters (RSI on 5m, EMA stack on 15m), the 4-SO ladder, and the three exit conditions. Defaults are calibrated for XMRUSDT.P 15m at 25× leverage — recalibrate per asset and per risk tolerance before deploying.
🔸 Set leverage and base margin to match your exchange and account configuration. Lower leverage scales portfolio-level drawdown proportionally.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_XMR).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit JSON payloads for entry, each safety order, and all three close types — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Margin (USDT): Margin per base trade. Notional = Margin × Leverage. Used for the virtual avg-entry / open-PnL computation.
Leverage (×): Exchange leverage. Default 25×.
Max Safety Orders: Maximum number of safety orders per cycle (default 4).
First SO Margin (USDT): USDT margin of the first safety order; subsequent SOs scale by the Size Multiplier.
Step to First SO (%): Distance from base entry at which SO1 becomes eligible.
Step Multiplier: Ladder factor that widens each subsequent deviation step.
Size Multiplier: Factor that grows each subsequent safety order's USDT margin.
Entry RSI Timeframe / Length / Level: Lower-timeframe RSI oversold-dip filter.
EMA Timeframe / Fast / Slow: Higher-timeframe trend confirmation filter.
Take Profit (%) / Trailing Deviation (%): TP target above avg entry and trailing buffer.
Stop Loss (%): Hard stop below avg entry.
Force Close After Max Hold / Max Hold (seconds): Timeout for forced market close.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle SO Ladder, Avg / TP / SL plot lines, fill labels, signal triangles, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Indicator
RSI Dip + EMA Trend Long DCA - StrategyRSI Dip + EMA Trend Long DCA — Leveraged Strategy
🔷 What it does:
This is a long-only DCA strategy on leveraged crypto perpetuals that buys oversold dips inside confirmed uptrends. A long entry opens only when the lower-timeframe RSI crosses down into oversold territory AND a higher-timeframe EMA cross confirms the larger trend is up. Four safety orders form a pure-price deviation ladder. Exit is a tight Take Profit with trailing, OR a hard Stop Loss, OR a forced close after a maximum holding period.
- Single base order with up to four safety orders, soft 1.05× size compounding.
- Dual confirmation entry: RSI(12) crossing down 35 on 5m AND EMA(50) > EMA(100) on 15m.
- Three exit paths: 1.0% Take Profit with 0.1% trailing, 9% hard Stop Loss, or forced market close after 3 days max hold.
- Default leverage 25× — per-trade realized risk ~7.17% of equity (inside the 5–10% band).
- Every entry, safety order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption.
🔷 Who is it for:
- Active traders comfortable with leveraged crypto perpetuals who want a systematic dip-buying engine inside confirmed uptrends.
- Bot operators who want a chart-driven signal source with per-event JSON ready for a DCA Bot configured for leveraged futures.
- Traders looking to combine momentum exhaustion (RSI dip) with trend confirmation (EMA stack) for higher-confidence entries.
- Portfolio operators who can absorb a 15–20% maximum drawdown in exchange for ~30% trailing returns over comparable periods.
🔷 How does it work:
Entry RSI Filter (Oversold Dip): A 5-minute RSI(12) is sampled via request.security with lookahead disabled. The dip gate fires when RSI crosses down through 35 — momentum has rolled over into oversold, which on a confirmed uptrend often marks a tactical bounce point.
EMA Trend Filter: A 15-minute EMA(50) and EMA(100) are sampled in parallel. The trend gate is satisfied only while Fast EMA > Slow EMA — the broader trend is up. When the EMA cross flips, the dip signal alone cannot open a trade.
Entry: When both gates align at host-bar close, a long position opens. Base order is configurable as Market (default) or Limit. With default 25× leverage, base margin × leverage = notional position size.
Safety Order Ladder: After base fill, the strategy monitors price deviation downward against the position. No additional gating — pure price ladder. The k-th safety order fires when close ≤ base entry × (1 − cumulative deviation), where cumulative deviation grows by the step multiplier (default 1.2): 1.00%, 2.20%, 3.64%, 5.37%. Each safety order's USDT margin grows by 1.05× — soft compounding.
Exit Priority: Three exit paths evaluated in order on each bar: (1) Stop Loss at 9% below average entry, (2) Maximum Hold timeout at 3 days from base entry, (3) Take Profit at 1% above average entry with 0.1% trailing — once price reaches the TP target, the position closes only after a 0.1% retrace from the in-favor peak.
🔷 Why it's unique:
- Two-Layer Confirmation: RSI(12) dip on 5m for entry timing, EMA(50/100) on 15m for trend bias. The two filters operate on different scales — momentum exhaustion alone cannot open a trade against a confirmed downtrend, and trend alignment alone cannot open a trade outside a tactical entry window.
- Three-Exit Architecture: Hard Stop Loss for tail-risk protection, Maximum Hold timeout for stuck trades that don't reach either bound, and Take Profit with trailing for letting winners run. Most DCA strategies use one or two exits; this one explicitly handles all three failure modes.
- Leverage-Aware Sizing: Base margin and leverage are independent inputs. Margin sets the per-trade capital commitment; leverage sets the notional exposure. Per-trade risk at SL = base + SO margins × SL% — bounded and predictable.
- DCA Bot Integration: Every event (base, SO 1–4, TP/SL/MaxHold close) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end.
🔷 Considerations Before Using the Strategy:
Market & Timeframe: Defaults are calibrated for BYBIT:XMRUSDT perpetual on 15m. The dip-buying-in-uptrend logic is portable to other liquid crypto perpetuals with clear directional regimes, but the EMA periods and RSI thresholds should be reviewed before redeployment.
Leverage Warning: The default 25× leverage is aggressive. A 9% adverse price move at 25× leverage equals 225% of base margin — the Stop Loss closes the position at full margin loss before liquidation. The per-trade realized risk at SL is approximately 7.17% of equity at default base margin (60 USDT). Lower the leverage input or reduce base margin to dial down per-trade exposure.
Drawdown Profile: The backtest produced a 18.01% maximum equity drawdown over a 14-month sample with 779 closed trades. This is above PulseWire's typical 5–10% per-trade band — but the figure reflects portfolio-level accumulation of losing trades across an adverse period, not single-trade risk. Per-trade risk remains inside the 5–10% band; the portfolio-level DD reflects the leveraged compounding and should be sized accordingly within a diversified strategy mix.
No SO Condition: Safety orders fire on pure price ladder with no momentum gate. This means averaging continues unconditionally as price drops, until either SL fires or the price reverses. The trade-off: higher average-entry quality if the dip continues, but greater unrealized loss exposure during sharp drops.
Maximum Hold Period: The 3-day forced close exists to release capital from stuck trades that haven't reached TP or SL. On a 15m chart, this is approximately 288 bars. Adjust the timeout to match your strategy rotation cadence.
Funding Rates (Perpetuals): Backtests do not account for perpetual funding rates. Sustained negative funding (shorts pay longs) improves live performance for this long strategy; sustained positive funding degrades it. Review the historical funding pattern before live deployment.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on leveraged strategies where small parameter changes materially affect risk.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:XMRUSDT.P (Perpetual)
Timeframe: 15M
Test Period: April 1, 2025 — May 26, 2026 (~14 months).
Initial Capital: 10,000 USDT.
Order Size per Trade: 60 USDT margin × 25× leverage = 1,500 USDT notional base + 4 safety orders at 1.05× progression.
Max Capital Deployed (Margin): ~318.6 USDT per trade across base + 4 SOs.
Max Realized Loss per Trade: ~717 USDT at full ladder + SL (~7.17% of equity).
Commission: 0.05% per trade.
Slippage: 3 ticks.
Leverage: 25× (configurable).
Margin for Long Positions: 100%.
Indicator Settings: Default Configuration.
Base Order: 60 USDT margin, Market by default (Limit toggle available).
Take Profit: 1.0% above average entry with 0.1% trailing.
Stop Loss: 9% below average entry (hard close).
Max Hold: 3 days (259,200 seconds) — forced market close.
Entry Filter: 5m RSI(12) Crossing Down 35 AND 15m EMA(50) > EMA(100).
Safety Orders: 4, Deviation 1.0%, Deviation Step 1.2×, Size Multiplier 1.05×.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,078.80 USDT (+30.79%)
Max Equity Drawdown: 2,013.77 USDT (18.01%)
Total Closed Trades: 779
Percent Profitable: 74.07% (577 / 779)
Profit Factor: 1.313
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and review the Base Margin, Leverage, entry filter (RSI level on 5m, EMA periods on 15m), the 4-SO ladder, and the three exit conditions. Defaults are calibrated for XMRUSDT.P 15m at 25× leverage — recalibrate per asset and per risk profile before deploying.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays inside your personal risk band. The 18% DD at default settings reflects 25× leverage — lower the leverage input to scale risk down proportionally. Validate the closed-trade count (≥ 100 minimum is a comfortable statistical floor).
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each safety order, and all three exit types — formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Margin (USDT): Margin per base trade. Notional = Margin × Leverage.
Leverage (×): Exchange leverage. Default 25× — adjust to match your account configuration.
Use LIMIT for Base: Toggle between Market (default) and Limit at bar close.
Max Safety Orders: Maximum number of safety orders per deal (default 4).
First SO Margin (USDT): USDT margin of the first safety order; subsequent SOs scale by the Size Multiplier.
Step to First SO (%): Distance from base entry at which SO1 becomes eligible.
Step Multiplier: Ladder factor that widens each subsequent deviation step.
Size Multiplier: Factor that grows each subsequent safety order's USDT margin.
Entry RSI Timeframe / Length / Level: Lower-timeframe RSI oversold-dip filter.
EMA Timeframe / Fast / Slow: Higher-timeframe trend confirmation filter.
Take Profit (%) / Trailing Deviation (%): TP target above avg entry and trailing buffer.
Stop Loss (%): Hard stop below avg entry.
Force Close After Max Hold / Max Hold (seconds): Timeout for forced market close.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle SO Ladder, Avg / TP / SL plot lines, fill labels, status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Strategy
SametCond Optimizer Heatmap [RSI]SametCond Optimizer Heatmap is a research-focused indicator built to compare multiple SametCond threshold values on the same chart and rank their historical behavior in a compact heatmap-style table.
The script uses the following base signal logic:
RSI crosses above its RSI moving average
Daily RSI is below 45
Optional filter: RSI slope must be positive
After each valid signal, the indicator checks whether price reaches a user-defined target percentage within a maximum number of bars. It then aggregates the results for every SametCond level within the selected range and displays the outcomes in a ranked table.
The table shows:
signal count
average bars needed to reach the target
average profit percentage
ranking by either speed or profit
What this indicator is for
This tool is intended for parameter research and comparative analysis.
Instead of testing only one SametCond threshold at a time, it helps you evaluate a full threshold range and quickly see which values performed better under the current symbol and timeframe.
How to read the table
Each row represents one SametCond threshold.
The table helps answer questions such as:
Which threshold reaches the target faster on average?
Which threshold produces higher average profit?
Which setting generates enough signals to be worth further testing?
Inputs
RSI Length: RSI calculation period
RSI MA Length: moving average length applied to RSI
SametCond Min / Max: threshold range to evaluate
Target %: target move measured after each signal
Require RSI Slope > 0: optional momentum confirmation
Max Bars To Target: maximum look-ahead window
Max Signal History: maximum stored signal count
Sort By: sort results by average bars or profit %
Notes
This is an analysis and optimization tool, not a complete trading strategy.
The script focuses on signals that successfully reach the defined target within the selected look-ahead window. Because of that, results should be interpreted as comparative research output rather than standalone trading advice.
Performance can vary significantly depending on symbol, timeframe, and market conditions. Use it to narrow down candidate parameter zones, then confirm those findings with your own validation and risk management process.
Indicator
RSI ReverseRSI Reverse is an analytical tool that reverse-engineers the Relative Strength Index (RSI) to project the estimated price levels required to reach your specific Overbought (OB) and Oversold (OS) targets.
Instead of acting solely as a lagging oscillator, this script calculates the mathematical distance price needs to travel over a user-defined number of future bars to push the RSI to your desired levels. (Note: These are mathematical projections based on current calculations, intended to be used as reference levels rather than guaranteed absolute predictions.)
Here is a breakdown of the indicator's configuration:
⚙️ Core Configuration
RSI Length: The lookback period for the base RSI calculation (Default: 14).
Overbought Target (OB): The upper RSI target level you want to project a price for (e.g., 70, 80).
Oversold Target (OS): The lower RSI target level you want to project a price for (e.g., 30, 20).
⏱️ The 5-Scenario Projections (Time Horizons)
Reaching an RSI of 70 on the very next bar requires a significantly different price movement compared to reaching it gradually over 30 bars. To account for this, the script provides 5 independent and fully customizable time scenarios:
Scenario 1 to 5 (Bars): You can define the exact number of bars for each of the 5 scenarios (Default: 1, 5, 14, 30, 60 bars).
The indicator simultaneously calculates and displays the required price to hit your OB/OS targets across all 5 time horizons. This allows you to observe how the target price dynamically shifts depending on how fast or slow the market moves.
🎨 Clean UI Dashboard
To keep your charts clean from visual clutter, all 10 projected target prices are displayed in a compact, non-intrusive table.
Table Position: Choose between Top-Right, Middle-Right, or Bottom-Right to ensure it never blocks your price action.
Text Size: Adjustable from Small to Large to fit your screen setup.
🔬 Under the Hood: Accuracy & Logic
Mathematical Precision: For Scenario 1 (Next Bar), the target is a 100% mathematically exact reverse-calculation. For multi-bar scenarios, the engine does not merely divide the required movement linearly. Instead, it utilizes an advanced ATR (Average True Range) step-distribution to simulate realistic market volatility, yielding a highly logical price estimate rather than a rigid straight line.
The Analytical Limitation: It is crucial to remember that a projected target is a mathematical destination assuming current momentum is maintained. Relying purely on technical analysis from a single timeframe has inherent limitations and can expose you to market noise.
💡 Practical Application & MTFA
Multi-Timeframe Analysis (MTFA): To overcome the limitations of single-timeframe chart analysis, it is highly recommended to combine this tool with MTFA. For example, if your higher-timeframe macro structure is in a bullish trend, look to execute limit buy orders exactly at the projected Oversold (OS) levels on your lower timeframe.
Dynamic Reference Levels: Use the projected prices as dynamic areas of interest to gauge where the market might become mathematically overextended.
Confluence: Combine these projected price matrixes with your existing chart analysis (e.g., support/resistance, order flow, or liquidity blocks) to identify high-probability zones for potential take-profits or limit entries.
Indicator
