Multi-Oscillator Divergence Scanner [Quantum Algo]Multi-Oscillator Divergence Scanner
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🔶 OVERVIEW
Multi-Oscillator Divergence Scanner is a confluence-based divergence indicator that scans up to seven classic oscillators simultaneously — Relative Strength Index, Moving Average Convergence Divergence, Stochastic Oscillator, Commodity Channel Index, On Balance Volume, Money Flow Index, and Momentum — and displays the result on two synchronized canvases at once. Divergence lines, graded labels, and reaction zones are drawn directly on the price chart, while a dedicated pane below plots a Composite Oscillator built from every enabled engine, with the same divergence lines mirrored onto the composite itself. You see both slopes of every divergence — price disagreeing with momentum — in one glance.
The problem this script solves is selective divergence trading. Any single oscillator produces frequent divergences, and most of them fail. Requiring multiple mathematically independent engines — momentum-based, volume-based, and volatility-normalized — to diverge at the same confirmed swing filters the noise down to setups where disagreement between price and participation is broad, not incidental.
🔶 WHAT IS A DIVERGENCE?
A divergence occurs when price prints a new extreme but an oscillator refuses to confirm it. A regular bullish divergence forms when price makes a lower low while the oscillator makes a higher low — a classic reversal condition. A regular bearish divergence forms when price makes a higher high while the oscillator makes a lower high. Hidden divergences are the continuation counterparts: price makes a higher low while the oscillator makes a lower low (hidden bullish), or price makes a lower high while the oscillator makes a higher high (hidden bearish). This scanner detects all four types on confirmed swing pivots.
🔶 WHAT IS THE COMPOSITE OSCILLATOR?
The Composite Oscillator is the consensus reading of every engine you enable. Bounded oscillators (Relative Strength Index, Stochastic, Money Flow Index) contribute their native zero-to-one-hundred values; unbounded engines (Moving Average Convergence Divergence histogram, On Balance Volume, Momentum) are range-normalized over a configurable lookback; the Commodity Channel Index is rescaled onto the same axis. The average of all enabled engines plots as a single gradient line with overbought and oversold guides, a midline fill, and divergence lines drawn directly on it — so the pane shows aggregate momentum from the same engines that vote on every signal, not a separate calculation.
🔶 WHY THIS SCRIPT IS ORIGINAL
1. True multi-engine confluence. Divergences are not detected on one oscillator and decorated with others. All seven engines are evaluated independently at every confirmed pivot, and a signal only exists when the minimum confluence count you set is reached.
2. Dual-canvas mirroring. Every qualified divergence is drawn twice: on price, and on the Composite Oscillator in the pane, connected at the same two pivots. Both slopes of the disagreement are visible simultaneously — the visual proof that defines a divergence.
3. Consensus composite pane. The pane line is not one more oscillator; it is the averaged, normalized voice of the exact engines doing the scanning, colored by a gradient between the oversold and overbought guides.
4. Full transparency on every label. Each signal prints its strength as a diamond meter and lists the exact oscillators that diverged (for example: RSI · OBV · MFI). You always know why a signal exists — nothing is a black box.
5. Strength-scaled visuals. Divergence lines thicken with confluence on both canvases, and signals reaching the Strong threshold upgrade to the accent color, so chart hierarchy communicates quality instantly.
6. Reaction zones with a life cycle. Every regular divergence projects a volatility-sized zone around its pivot (measured in Average True Range). Zones gray out automatically the moment price invalidates them, so the chart always distinguishes live zones from dead ones.
7. Divergence pressure gauge. A decaying pressure model accumulates bullish and bearish divergence weight over time, giving a one-glance read on which side has been stacking disagreement with price.
🔶 HOW IT WORKS
Pivot scanning: Swing highs and swing lows are confirmed with a symmetric pivot lookback. All divergence checks are evaluated on closed bars at pivot confirmation, so historical signals do not repaint. Confirmation lag equals the right-side pivot length by design.
Confluence evaluation: At each confirmed pivot, every enabled oscillator's value at that pivot is compared against its value at the previous same-side pivot. The four divergence types are tested independently per oscillator, and contributions are counted.
Signal grading: Signals meeting the Minimum Oscillator Confluence print with strength diamonds (one per contributing oscillator). Signals reaching the Strong Signal Threshold upgrade to the accent color and thicker geometry on both the price chart and the composite pane.
Composite rendering: The pane plots the consensus line with a gradient fill to the midline, dashed overbought and oversold guides, tinted extreme bands, triangle marks at divergence bars, and the mirrored divergence lines.
Reaction zones: Each regular divergence projects a box around its pivot sized by Average True Range, extended a configurable number of bars. A bullish zone grays out when price closes below it; a bearish zone grays out when price closes above it.
Dashboard: A fully themeable panel on the price chart shows the last signal, a live divergence pressure meter, and one row per engine with its live value — color-coded for overbought, oversold, or directional state — plus each engine's most recent divergence side. Text size (four steps), position, and every color (title band, background, frame, grid, header, body, muted) are adjustable.
Chart hygiene: The number of divergences kept is capped by input, on both canvases. Older lines, labels, and zones are deleted automatically, keeping the chart readable and the auto-scale anchored to current price.
🔶 HOW TO USE IT
1. Works on any market — cryptocurrency, forex, gold, indices, stocks, futures — and any timeframe. Higher timeframes produce fewer, larger-structure signals.
2. Start with Minimum Oscillator Confluence at 2 and the Strong threshold at 4. Raise the minimum to 3 for a strict, low-frequency reversal tool; lower it to 1 to study single-oscillator behavior.
3. Read the pane and the chart together: a valid signal shows price sloping one way and the composite sloping the other, connected at the same pivots.
4. Regular divergences are reversal-oriented: treat them as exhaustion evidence at swing extremes, strongest when the composite is also inside an overbought or oversold band.
5. Hidden divergences are continuation-oriented: treat them as trend re-entry evidence during pullbacks, and do not read them like reversal signals.
6. Use the reaction zone as the decision area: a live zone holding on retest supports the signal; a grayed zone means the divergence failed.
7. The pressure meter is context, not a trigger — persistent one-sided pressure alongside fresh strong signals is the highest-quality condition.
🔶 SETTINGS
- Pivot Left / Right Length — swing size; larger values scan bigger structures.
- Independent toggles and lengths for all seven oscillator engines.
- Composite pane: normalization lookback, overbought and oversold levels, pane marks, and mirrored divergence lines toggle.
- Regular and hidden divergence toggles, minimum confluence, strong threshold.
- Reaction zone height (Average True Range ratio) and extension.
- Divergences To Keep — caps historical drawings on both canvases for chart cleanliness and stable auto-scale.
- Dashboard with adjustable text size, position, live oscillator values, and full color theming.
- Full color customization for all chart drawings and pivot markers.
🔶 ALERTS
- Bullish Divergence / Bearish Divergence — a regular divergence met the confluence minimum.
- Hidden Bullish Divergence / Hidden Bearish Divergence — a continuation divergence met the minimum.
- Strong Divergence — a regular divergence reached the strong threshold.
🔶 FREQUENTLY ASKED QUESTIONS
Does the indicator repaint? No. Divergences are evaluated only on confirmed pivots at bar close. The trade-off is intentional confirmation lag equal to the right-side pivot length.
Why does a pane divergence line sometimes start slightly off the composite's visual peak? Divergence is measured at price structure points. The line connects the composite's values at the two confirmed price pivots, which is the correct comparison even when the composite made its own extreme a bar or two away.
Why do some obvious divergences not print? Either the confluence minimum was not reached, the oscillator involved is disabled, or the swing did not confirm as a pivot under the current lengths.
Which oscillators should I enable? The default set mixes momentum and volume perspectives, which is the point of confluence: independent evidence, not seven copies of the same math.
Is a Strong signal a guaranteed reversal? No. Strength counts agreement between engines; it is a transparency measure, not a probability of profit.
🔶 CREDITS
This script builds its scanning and composite engine on classic, public-domain oscillators, and gratefully credits their creators: the Relative Strength Index by J. Welles Wilder Jr. (1978), Moving Average Convergence Divergence by Gerald Appel, the Stochastic Oscillator popularized by George C. Lane, the Commodity Channel Index by Donald Lambert (1980), On Balance Volume by Joseph Granville (1963), and the Money Flow Index by Gene Quong and Avrum Soudack. All oscillator calculations use standard built-in formulas. Drawing divergence lines on an oscillator is a long-established charting convention popularized by many community authors, acknowledged here as shared prior art. The multi-engine confluence scanner, the consensus Composite Oscillator, the dual-canvas mirroring, transparency labeling, strength grading, reaction zone life cycle, pressure model, and all code in this script are original work — no third-party or open-source script code was reused.
🔶 LIMITATIONS
Divergence can persist or fail entirely during strong trends; regular divergences against a powerful trend are the weakest application. Volume-based engines (On Balance Volume, Money Flow Index) are less meaningful on symbols with unreliable volume reporting. The composite's normalized components depend on the normalization lookback. Pivot confirmation introduces intentional delay. No indicator replaces independent analysis.
🔶 DISCLAIMER
This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past behavior of any signal does not guarantee future results. Trading involves substantial risk. Always do your own research and manage risk independently.
Indicator
INJ DCA Long Strategy [3Commas & QuantPilot]INJ DCA Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for INJ / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit (9%) on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 The one change that mattered — Take Profit tuning:
This strategy started from a baseline configuration with a 3% fixed take-profit. Running the same script, on the same market, over the same period through the QuantPilot Pine Script optimizer, the take-profit parameter was swept and the best-performing value landed at 9%. Nothing else was touched — same RSI entry, same five-order ladder, same deviations, same 1.8× sizing, same fees. Only the Take Profit input changed from 3% to 9%.
- Baseline (Take Profit 3%): Net +6,888.76 USDT (+6.89%), Max Drawdown 4.39%, 84 closed trades, 71.43% profitable, Profit Factor 4.925.
- Optimized (Take Profit 9%): Net +15,830.72 USDT (+15.83%), Max Drawdown 5.65%, 90 closed trades, 82.22% profitable, Profit Factor 17.886.
Widening the target lets each recovery run further before the position is banked, capturing the fuller mean-reversion bounce instead of exiting on the first small pop. The trade-off is a modestly higher drawdown (4.39% → 5.65%) and longer average hold time. The published defaults use the optimized 9% value; the baseline metrics are shown here purely so the effect of the single parameter change is transparent.
🔷 Who is it for:
- Swing traders accumulating INJ on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price 9% above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Optimizer-Tuned Exit: The 9% take-profit is not an arbitrary round number — it is the value the QuantPilot Pine Script optimizer selected as best-performing on the historical sample, with every other parameter held constant.
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads, driving a DCA Bot end-to-end with no glue layer.
🔷 Considerations Before Using the Strategy:
Optimization / Overfitting Risk: The 9% take-profit was selected by sweeping the parameter over the same historical window shown in the results. A value that was best in-sample is not guaranteed to be best out-of-sample — this is the standard caveat for any optimized parameter. Treat the optimized metrics as the ceiling of what this configuration achieved historically, not as a forward expectation, and re-validate on fresh data before committing capital.
Trade Volume — Below the Statistical Floor: The optimized configuration produced 90 closed trades over ~30 months (84 on the baseline). Both are below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the high profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If INJ trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. A wider 9% target also means positions are held longer, so the grid can sit loaded through deeper dips before the exit is reached.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:INJUSDT.P (Perpetual) — strategy is portable to any INJ / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 16, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 9% above average entry (optimizer-tuned from a 3% baseline).
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS (Optimized — Take Profit 9%)
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +15,830.72 USDT (+15.83%)
Max Equity Drawdown: 6,426.47 USDT (5.65%)
Total Closed Trades: 90
Percent Profitable: 82.22% (74 / 90)
Profit Factor: 17.886
🔷 STRATEGY RESULTS (Baseline — Take Profit 3%, for comparison)
Net Profit: +6,888.76 USDT (+6.89%)
Max Equity Drawdown: 4,429.13 USDT (4.39%)
Total Closed Trades: 84
Percent Profitable: 71.43% (60 / 84)
Profit Factor: 4.925
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the Take Profit (default 9%) match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note the optimized configuration reached 5.65%. Keep in mind the 90-trade sample is below the ~100-trade floor for statistical confidence, and the high profit factor reflects that small, optimized sample.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes (default 9%, optimizer-tuned).
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas TradingView 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
Indicator
Indicator
True RSITrue RSI | MisinkoMaster
The True RSI is a sophisticated reimagining of classical momentum. While the standard Relative Strength Index has served as a cornerstone of technical analysis for decades, it possesses a fundamental limitation: it treats all price movements equally, regardless of the time elapsed since the market made its last major peak or trough. The True RSI solves this structural blind spot by merging price magnitude with temporal trend strength, weighting gains and losses according to their cyclical maturity.
By dynamically scaling price changes against the time-distance of local extremes, this indicator filters out lateral market noise, reduces false overbought and oversold readings during strong trends, and delivers highly responsive execution signals.
How It Works (The Core Architecture)
Instead of relying solely on arithmetic averages of upward and downward price closes, True RSI filters raw market data through a multi-dimensional momentum matrix:
Temporal Trend Weighting: The algorithm continuously tracks how recently the market has formed local highs and lows. Gains are mathematically weighted against the strength of the upward cycle, while losses are weighted against the strength of the downward cycle.
Cycle-Weighted Ratio: The accumulated, time-weighted gains and losses are calculated over your lookback period to establish a true relative strength ratio. If gains occur during an actively surging upward cycle, they are heavily amplified; if they occur during a dying trend, they are heavily discounted.
Smoothing and Normalization: This ratio is translated into a normalized scale bounded between 0 and 100, providing an incredibly smooth yet responsive oscillator curve alongside a secondary momentum velocity histogram.
Key Features
Time-Weighted Velocity: True RSI prevents premature exhaustion signals during strong, healthy trends because it understands the cyclical age of the current market move.
On-Chart Candle Morphing: The system automatically tracks the oscillator state and alters the colors of your main price bars to keep you visually aligned with the macro trend.
Overlay Execution Labels: Prints pristine Long and Short labels directly on your price pane the moment the underlying structural momentum shifts past your designated thresholds.
Internal Divergence Histogram: Built directly behind the main oscillator is a custom acceleration histogram that monitors the rate of change of the index, pinpointing hidden momentum shifts before they reflect in the price.
Input Parameters & Optimization Guide
Lookback Period: Controls the baseline window for both the cycle-strength calculations and the price change evaluations. A default of 21 bars balances macro trend stability with immediate short-term utility.
Long / Short Thresholds: The structural boundaries that dictate trend shifts. By default, crossing above 50 signals a bullish regime, while dropping below 50 initiates a bearish regime.
Overbought / Oversold Thresholds: Tailored extremes designed to isolate true premium and discount zones. The default 80 and 20 boundaries act as high-probability mean-reversion targets.
Trading Strategies & Execution
Trend Regime Shift
When momentum builds structural backing, the indicator updates its trend state:
A crossing of the True RSI above the Long Threshold triggers a green Long label on the chart, changing candle colors to vibrant green.
A crossing of the True RSI below the Short Threshold triggers a pink Short label, shifting candle colors to pink.
Exhaustion Reversals
Because price movement is weighted against cycle time, entering the overbought (80) or oversold (20) zones represents a market that is genuinely overstretched both in terms of price velocity and time. Reversals from these zones carry high statistical significance for counter-trend scalps or trailing-stop targets.
Acceleration Divergences
Watch the central histogram centered around the 50 line. When the price is grinding flat but the histogram starts to rise or fall aggressively, it shows that the internal speed of the True RSI is accelerating. This hidden momentum often foreshadows explosive breakout expansions.
Disclaimer: Trading financial markets involves high risk. This technical script is designed as an informational analytical tool to support your rule-based mechanical execution system and does not constitute financial advice. Indicator
Indicator
SOL RSI Strategy [3Commas]SOL RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for SOL / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating SOL on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 77 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If SOL trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 5.53% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within SOL's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:SOLUSDT.P (Perpetual) — strategy is portable to any SOL / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 13, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +5,178.77 USDT (+5.18%)
Max Equity Drawdown: 5,748.16 USDT (5.53%)
Total Closed Trades: 77
Percent Profitable: 67.53% (52 / 77)
Profit Factor: 4.582
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 5.53%. Keep in mind the 77-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView 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
RS Rating (Relative Strength) - Clean Table UIThis indicator calculates the Relative Strength (RS) Rating of a stock compared to the S&P 500 (SPY) and displays it as a clean, simple numerical value in a customizable table on your chart.
Unlike many complex swing data indicators that clutter your screen with moving averages, background colors, and multiple data points, this script is specifically designed for minimalist traders, day traders, and scalpers who only need to see the core RS Rating score at a single glance.
How It Works:
Core Calculation: It uses the standard weighted formula for 1-year performance (40% for the most recent quarter, and 20% for each of the previous three quarters) compared against the S&P 500 benchmark.
Percentile Ranking (1-99): Using market environment seed data, the raw score is converted into a true 1 to 99 percentile ranking. For example, an RS Rating of 85 means the stock is currently outperforming 85% of the overall market.
Color-Coded Signals: The numerical value automatically changes color based on the stock's momentum:
Green (>= 80): Strong market leader.
Red (<= 40): Weak laggard.
Custom/White: Neutral performance.
Features:
Zero Chart Clutter: No lines or shapes plotted over your candles. Just a single, elegant table.
Fully Customizable: You can easily change the table's position (Top/Bottom, Left/Right) and text size (Normal, Large, Huge) directly from the indicator settings to fit your exact workspace layout.
(Credits to the original open-source community and Fred6724 for the percentile mapping seed function utilized to power this clean UI version). Indicator
Indicator
Momentum Consensus Heatmap [StrixEDGE]█ MOMENTUM CONSENSUS HEATMAP
A multi-timeframe momentum aggregation system that scans 6 oscillators across 4 customizable timeframes and fires high-conviction BUY/SHORT signals only when a critical mass of indicators reach overbought or oversold consensus simultaneously.
█ CONCEPT
Most momentum-based strategies rely on a single oscillator on a single timeframe — a setup prone to false signals and noise. This indicator solves that by requiring cross-timeframe and cross-indicator agreement before generating a signal.
The core logic works in two layers:
Layer 1 — Timeframe Consensus (per indicator):
Each oscillator is evaluated across 4 timeframes (default: 15m, 1H, 4H, 1D). An indicator only qualifies as "Overbought" or "Oversold" when at least 3 out of 4 timeframes agree (configurable: 2/4, 3/4, or 4/4).
Layer 2 — Indicator Consensus (overall signal):
A chart signal fires only when a user-defined number of indicators (default: 4 out of 6) have all independently reached Layer 1 consensus in the same direction.
This dual-filter architecture dramatically reduces noise and isolates moments of genuine, broad-based momentum exhaustion.
█ OSCILLATORS USED
• RSI (Relative Strength Index) — Classic momentum oscillator measuring speed and magnitude of price changes. Default OB/OS: 70/30.
• Stochastic RSI — Stochastic formula applied to RSI values, more sensitive to short-term momentum shifts than raw RSI. Default OB/OS: 80/20.
• Stochastic Oscillator — Compares closing price to the high-low range over a lookback period. Independent from Stoch RSI. Default OB/OS: 80/20.
• CCI (Commodity Channel Index) — Measures deviation from the statistical mean. Unbounded, making it useful for detecting extreme momentum. Default OB/OS: +100/−100.
• Williams %R — Reflects where the current close sits relative to the highest high. Inverted scale (−100 to 0). Default OB/OS: −20/−80.
• MFI (Money Flow Index) — Volume-weighted RSI. Adds a volume confirmation dimension that pure price-based oscillators lack. Default OB/OS: 80/20.
█ HEATMAP TABLE
The on-chart heatmap table provides a real-time dashboard of all 24 data points (6 indicators × 4 timeframes):
• Each cell shows the live oscillator value with color-coded background:
🔴 Red = Overbought zone
🟢 Green = Oversold zone
⚫ Gray = Neutral
• SCORE column shows how many timeframes agree for each indicator (e.g., "3/4 OB").
• SIGNAL column shows whether that individual indicator has reached consensus ("SHORT ▼" / "BUY ▲" / "—").
• CONSENSUS row at the bottom shows the overall verdict with a percentage score of indicator agreement.
Table position and text size are fully customizable through the settings panel.
█ CHART SIGNALS
When the overall consensus threshold is met:
▲ Green triangle below bar = BUY signal (oversold consensus)
▼ Red triangle above bar = SHORT signal (overbought consensus)
Signals fire only on the first bar of a new consensus event (no repeated signals while conditions persist). A subtle background color flash highlights the signal bar.
█ OPTIONAL TREND FILTER (EMA)
When enabled, signals are filtered by an EMA trend bias:
• BUY signals require price above the EMA (buying in an uptrend)
• SHORT signals require price below the EMA (shorting in a downtrend)
This is disabled by default to keep the indicator pure momentum-based, but can significantly improve signal quality in trending markets.
█ SETTINGS OVERVIEW
⏱ Timeframes — All 4 timeframes are independently configurable.
⚙ Indicator Lengths — Full control over each oscillator's lookback period.
📊 OB/OS Thresholds — Adjust overbought/oversold levels for every oscillator independently.
🎯 Signal Rules:
• Min TF Consensus: How many timeframes must agree per indicator (2-4, default 3).
• Min Indicators: How many indicators must reach consensus for a chart signal (1-6, default 4).
🎨 Table Appearance — Position, size, and full color customization (OB color, OS color, neutral, header, text).
🔔 Alerts — Native TradingView alerts with detailed messages including ticker, timeframe, and consensus count.
█ HOW TO USE
1. Apply the indicator to any chart (works on all instruments and timeframes).
2. The heatmap table updates in real time — use it as a momentum dashboard.
3. Watch for chart signals:
• When 4+ indicators show oversold consensus across 3+ timeframes → BUY signal.
• When 4+ indicators show overbought consensus across 3+ timeframes → SHORT signal.
4. Set up TradingView alerts to get notified when signals fire.
5. For higher conviction:
• Increase "Min Indicators" to 5 or 6 (fewer but stronger signals).
• Require 4/4 timeframe agreement instead of 3/4.
• Enable the EMA trend filter.
█ IMPORTANT NOTES
• This indicator uses request.security() to fetch multi-timeframe data. On the current timeframe, values update in real time. Higher timeframe values reflect the last closed bar of that timeframe.
• Signals are non-repainting once the bar closes. Intrabar, the table values and potential signals update as new ticks arrive (expected behavior for a real-time dashboard).
• This tool is designed for identifying momentum exhaustion zones. It does not predict direction — use it in confluence with price action, support/resistance, and your broader trading plan.
• Past performance is not indicative of future results. Always use proper risk management.
█ CREDITS & LICENSE
Open source under Mozilla Public License 2.0.
Built with Pine Script™ v6. Indicator
RSI Levels & Regime Map Heatmap & Cardwell Reversal SignalsOVERVIEW
RSI is the most-used oscillator in the world, and almost nobody trades it — because "RSI is 62" is not something you can place an order against.
This tool moves RSI onto price.
RSI IS INVERTIBLE. Wilder's smoothing can be solved backwards, so for any RSI value there is an EXACT price that would produce it on the next bar. Instead of "RSI is 62", the chart tells you:
Close above 24,278 -> RSI 70 (resistance)
Close below 24,193 -> RSI 30 (support)
Those are real levels. You can put a stop there. You can put a target there.
The script draws the full ladder (30 / 40 / 50 / 60 / 70, all configurable), shades the bands between them into a regime heatmap, measures the Cardwell range regime, marks Cardwell positive and negative reversals with projected targets, shows a multi-timeframe strip — and then does the thing nobody else does: IT FORWARD-TESTS WHETHER ANY OF IT ACTUALLY HOLDS.
This is a research and framing tool. It is NOT a strategy, NOT a signal service, and NOT a validated edge.
THE MATHS (exact, not an approximation)
RSI = 100 - 100/(1 + AG/AL), where AG and AL are the Wilder-smoothed average gain and loss.
For a target T, let RSt = T/(100 - T). Solving the next bar's RSI for the move x required:
an UP move needs x = (n-1) * (RSt*AL - AG)
a DOWN move needs x = (n-1) * (AL - AG/RSt)
Level = close + x. The up form applies when it is non-negative; otherwise the down form does.
This is algebra, not curve fitting. Feed the derived price back through RSI and you get the target value back exactly. The levels are not estimates — they are the precise prices at which the RSI state changes, recomputed every bar. The ladder breathes with volatility on its own: it tightens in quiet markets and widens in violent ones, with no smoothing parameter to tune.
WHY THESE PARTS ARE ONE TOOL (mashup rationale)
1. THE INVERSE-RSI LADDER — the core. Every rung is the exact price at which RSI would print a chosen value.
2. THE HEATMAP — the bands between the rungs, shaded by regime. It shows at a glance how far price must travel to change the RSI story, which is the one question the oscillator pane can never answer.
3. THE CARDWELL REGIME — Andrew Cardwell's observation: in a BULL market RSI holds roughly 40-80, and 40 becomes SUPPORT. In a BEAR market it holds 20-60, and 60 becomes RESISTANCE. So "RSI 40" means the OPPOSITE thing in the two regimes. A tool that ignores this will cheerfully tell you to buy oversold all the way down a trend. The regime here is MEASURED over a lookback, not assumed — and the rung the script watches follows the regime rather than a fixed number.
4. CARDWELL REVERSALS — the signal almost nobody implements. A POSITIVE REVERSAL is RSI making a LOWER low while PRICE makes a HIGHER low. That is the mirror image of classic divergence, and it is a CONTINUATION signal, not a trend reversal. A NEGATIVE REVERSAL is the bearish mirror. A measured target is projected from each.
5. THE HONESTY LAYER — everyone says RSI 30 is support. Nobody checks. Every level test and every Cardwell reversal is logged and graded with a triple barrier against an unconditional control.
Remove any one and you are left with a prettier RSI that still cannot tell you whether RSI works.
THE CALIBRATION — AND THE TWO TRAPS IT TOOK A LIVE TEST TO FIND
Two subtle biases can make a level tool look brilliant while it is doing nothing at all. Both are handled explicitly here, and both are worth understanding whichever tool you use.
TRAP 1 — THE FILL ADVANTAGE.
A support test fires when price dips INTO the rung and closes back ABOVE it. If you enter the event AT THE RUNG (below the close) but compare it with a control entered at the CLOSE, the event gets a strictly better fill on EVERY trade. It then "beats" the control by construction — not because the level held, but because it bought lower. That is a rigged comparison, and it produces a large fake edge.
THE FIX: the level test is treated as a SIGNAL, NOT A FILL. The event and the control enter at the SAME reference price — the bar's close. The only thing that differs is which bars were selected.
TRAP 2 — DIRECTIONAL DRIFT.
Indices drift upward. If level tests are mostly LONG while the control is 50/50, the events win on drift alone and prove nothing.
THE FIX: longs are compared only with control longs, shorts only with control shorts, then blended back using the events' OWN direction mix. The panel also reports the baseline drift directly, so you can see whether the instrument is simply going up.
The control is UNCONDITIONAL: the same trade geometry taken on arbitrary bars, selected by no signal at all. If the levels cannot beat that, they carry no edge.
Results are reported as EXPECTANCY IN R, not hit rate. A Welch t-test decides whether the difference is real or luck — the panel does not say PROVEN unless t > 1.96.
Other conventions, all chosen so the tool cannot flatter itself:
· Both barriers touched on one bar -> the STOP is assumed first.
· Expired trades are marked to market, not booked as losses.
· The level tested is the one computed at the END OF THE PREVIOUS BAR — the price a trader could actually have rested an order at. Using the current bar's own level would be a look-ahead.
· Everything is logged and resolved on confirmed bars only.
HOW TO USE IT
1. READ THE REGIME FIRST. In a bull regime the 40 rung is support and you are hunting long tests of it. In a bear regime the 60 rung is resistance. In neutral, the ladder is simply a map.
2. The rungs are LEVELS. Price closing through one changes the RSI state, by definition.
3. A CARDWELL REVERSAL is a continuation signal with a projected target.
4. READ THE CALIBRATION BEFORE YOU WEIGHT ANY OF IT — and read the baseline-drift row next to it. If level tests show no proven edge on your instrument, the ladder is a MAP, not a probability.
5. Entry, stop and target are drawn at the same price the calibration measures. They are arithmetic, not advice.
DATA / SCOPE
Any symbol, any timeframe. No volume required. The source is an input, so the ladder can be built from close, hlc3, or even another indicator's plot.
NON-REPAINTING
The ladder is computed from confirmed values and projects FORWARD — it is a statement about what the NEXT bar would need to do, so it necessarily moves as new bars arrive. That is a projection, not a repaint, and it is stated plainly rather than hidden.
Level tests are evaluated against the PREVIOUS bar's level, so no future information is used. Reversal pivots use ta.pivot* and confirm a few bars after the fact; once printed, they do not move. The calibration harness logs AND resolves on confirmed bars only, so its statistics cannot inflate intrabar.
HONEST LIMITATIONS — PLEASE READ
The ALGEBRA is exact. THE CLAIMS ABOUT RSI ARE NOT.
"RSI 30 is support" is folklore until it is measured, which is exactly why this script measures it — and why it is built to be able to return "not proven".
Calibration figures are IN-SAMPLE, with no costs or slippage, and use overlapping windows. A proven in-sample edge is NOT a guarantee out-of-sample. Real fills, spreads and commissions will all reduce it.
Cardwell's rules are discretionary in origin and are mechanised here in one particular way. A different mechanisation would give different numbers.
Small samples are unreliable even when they look good. If the edge is near zero, negative, or unstable across timeframes, the honest conclusion is that it is not there.
Nothing here predicts price.
CONCEPT CREDITS
Relative Strength Index and its Wilder smoothing — J. Welles Wilder Jr.
Range rules, positive and negative reversals, and the measured-move projection — Andrew Cardwell.
Triple-barrier forward labelling — Marcos López de Prado.
Welch's t-test — B. L. Welch.
The inverse-RSI level engine, the regime map, the unconditional direction-matched control and the significance testing are the author's own. Clean-room implementation; no third-party code is reused. Not affiliated with, nor endorsed by, any of the above.
DISCLAIMER
Research and educational tool only. NOT financial advice, NOT a recommendation, and NO guarantee of results. Indicators describe past behaviour; they do not predict the future. Entry, stop and target output is arithmetic, not advice. Trading carries a risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use of this script. Indicator
Supertrend - EMA Cloud - Divergence - ADX [StrixEDGE]Overview
Apex Trend Engine is a 5-layer confluence system that combines trend-following, momentum, and reversal detection into a single overlay indicator. Each layer operates independently and feeds into a unified scoring engine that generates high-conviction BUY and SELL signals only when multiple confirmations align.
Layer 1 — Supertrend (Trend Direction)
An ATR-based adaptive trend filter that hugs price during trends and flips cleanly on reversals. The Supertrend line is plotted directly on the chart with a subtle fill between price and the stop level, making the current trend direction visible at a glance.
Bull & Bear SuperTrend :
Layer 2 — EMA Cloud (Momentum & Entries)
A fast/slow EMA pair (default 9/21) with a filled cloud between them. The cloud color shows momentum direction: green when fast EMA is above slow, red when below. Crossovers serve as entry triggers when confirmed by other layers.
Bull & Bear EMA :
Layer 3 — RSI Divergence Scanner (Reversals)
Automatic detection of regular bullish and bearish divergences between price and RSI using pivot-confirmed swing points. When price makes a lower low but RSI makes a higher low, a bullish divergence line is drawn on the chart. The reverse for bearish.
Bull Div.
Bear Div.
Layer 4 — ADX Trend Strength (Filter)
The Average Directional Index measures whether the market is trending or ranging. ADX above the threshold (default 25) confirms a trending market. The directional indicators (DI+ vs DI-) determine if the trend is bullish or bearish.
Bull & Bear ADX :
Layer 5 — Combined Signal Engine
Each layer contributes one point to a bull score and one to a bear score (5 points maximum each):
Point 1 — Supertrend direction
Point 2 — EMA fast/slow alignment
Point 3 — Price position relative to 200 EMA
Point 4 — Recent RSI divergence (within 20 bars)
Point 5 — ADX trending with directional confirmation
Signal generation requires both a score threshold AND a trigger event:
STRONG BUY — 4 or more bullish points with an EMA crossover or Supertrend flip
BUY — 3 or more bullish points with a trigger
STRONG SELL — 4 or more bearish points with a trigger
SELL — 3 or more bearish points with a trigger
This dual requirement (score plus trigger) prevents signals from firing on every bar during a trend and limits them to actionable moments.
Chart visuals
Supertrend: colored line with transparent fill to price showing the trend zone
EMA Cloud: fast and slow EMA lines with filled cloud between them
EMA 200: gold line for macro trend reference
Divergence lines: green lines connecting bullish divergence pivots, red for bearish
Signal arrows: double arrows for strong signals, single triangles for regular
Background highlight: subtle bar coloring on strong signal bars
Dashboard table
The on-chart dashboard shows each layer's current reading:
Supertrend — stop level and direction
EMA Cross — values and cross status
EMA 200 — value and price position
RSI — value with overbought/oversold warnings
Divergence — type and how many bars ago
ADX — value with trending/ranging status
Score — X/5 BULL and X/5 BEAR
Signal — combined verdict
Settings
Every component is independently configurable with sensible defaults:
Supertrend: ATR length 10, multiplier 3.0
EMA Cloud: fast 9, slow 21, trend 200
RSI Divergence: length 14, pivot lookback 5
ADX: length 14, smoothing 14, trending threshold 25
Signals: buy/sell arrows and background highlights toggleable
Dashboard: position and text size adjustable
Alerts : 10 alert conditions covering every signal type:
Strong Buy, Buy, Strong Sell, Sell
Supertrend flip bullish/bearish
EMA cross up/down
Bullish/Bearish divergence detected
Disclaimer
This indicator is a technical analysis tool for educational and informational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and never risk capital you cannot afford to lose. Indicator
Dashboard Pro | RSI - Fib - S/R - VolumeOverview
MTF Dashboard Pro is a multi-timeframe confluence engine that scans four timeframes simultaneously — 15-minute, 1-hour, 4-hour, and daily — and evaluates four independent technical conditions on each one. When all conditions align in the same direction, the dashboard issues a high-conviction LONG or SHORT signal. Everything is displayed inside a professional color-coded table directly on your chart, with optional S/R lines and a projected Golden Zone overlay.
What makes this different
Most multi-timeframe dashboards simply display RSI or MACD values across timeframes and leave interpretation to you. This indicator goes further: it defines explicit bullish and bearish conditions for each metric, scores them per timeframe, and only triggers a signal when a configurable number of conditions agree. The result is a systematic, rules-based directional bias — not a subjective reading of scattered numbers.
The four conditions
Each timeframe is scored on these four independent tests:
1 — RSI Momentum (Default: 14-period)
RSI above 50 registers as bullish. RSI below 50 registers as bearish. This captures the underlying momentum direction without relying on overbought/oversold extremes, which lag in trending markets.
🟢 Bullish: RSI > 50
🔴 Bearish: RSI < 50
2 — Fibonacci Golden Zone (0.618 – 0.786)
Calculated from the highest high and lowest low of the last N candles (default: 20 bars). The Golden Zone sits between the 0.618 and 0.786 Fibonacci retracement levels of that range. Price position relative to this zone determines the condition:
🟢 Bullish: Price at or above the 0.618 level (inside or above the Golden Zone)
🔴 Bearish: Price below the 0.618 level (rejected from the zone)
The Golden Zone is drawn on the chart as a projected box extending 20 bars to the right of the current candle, with dashed borders at 0.618 and 0.786, and a dotted midline at 0.702.
3 — Support / Resistance Positioning
Strong Support is the lowest low of the lookback period. Strong Resistance is the highest high. The midpoint between them defines the range center.
🟢 Bullish: Price above the midpoint (upper half of range — strength)
🔴 Bearish: Price below the midpoint (lower half of range — weakness)
Support and Resistance lines are drawn on the chart starting from the exact candle where the high or low occurred, extending to the right of the current bar. A subtle zone band (ATR-based) highlights each level as a zone rather than a single line.
4 — Volume Confirmation (USDT-denominated)
Volume is calculated as volume × close to approximate USDT-denominated volume. This is compared against a simple moving average (default: 20 periods).
🟢 Confirmed: Current volume above the average
🔴 Not confirmed: Current volume below the average
Volume confirmation applies equally to both LONG and SHORT signals — high volume validates the move regardless of direction.
Signal logic
For each timeframe, the indicator counts how many of the four conditions are bullish and how many are bearish.
LONG ▲ — Triggered when the bullish count reaches the minimum threshold (default: 4 out of 4)
SHORT ▼ — Triggered when the bearish count reaches the minimum threshold
NEUTRAL — Mixed conditions, no clear directional consensus
You can lower the threshold to 3 for more frequent signals with slightly less conviction, or keep it at 4 for maximum confluence.
Dashboard table
The on-chart table displays 13 rows across 5 columns (one label column + four timeframe columns):
Row 1 — RSI value with color-coded background (green > 50, red < 50)
Row 2 — Golden Zone status: ABOVE, IN ZONE, or BELOW
Row 3 — Golden Zone price range (0.618 and 0.786 levels)
Row 4 — Strong Support price (green text)
Row 5 — Strong Resistance price (red text)
Row 6 — S/R Position: BULLISH or BEARISH
Row 7 — Volume USDT with formatted K/M/B suffix
Row 8 — Individual condition checklist (✓ or ✗ for each of the 4 conditions)
Row 9 — Score (e.g. "4/4 BULL" or "3/4 BEAR")
Row 10 — Final signal: LONG ▲ / SHORT ▼ / NEUTRAL
Every data cell is background-colored to show its directional bias at a glance. Hover over any label cell to see a tooltip explaining the logic.
Chart overlay
Strong Support and Strong Resistance are drawn as horizontal lines originating from the exact candle where the extreme price occurred within the lookback period. Each line includes a subtle zone band for visual clarity and price labels at the right edge.
The Golden Zone is projected as a filled box extending 20 bars to the right of the current candle. The box includes dashed borders at 0.618 and 0.786, a dotted midline at 0.702, and a centered "GOLDEN ZONE" label.
You can choose which timeframe's levels to display on the chart — Current, 15M, 1H, 4H, or Daily. When plotting a higher timeframe on a lower timeframe chart, bar offsets are automatically scaled to the correct chart positions.
Settings
Table Display
— Position: 9 options (Top/Middle/Bottom × Left/Center/Right)
— Text Size: Tiny, Small, Normal, Large
Indicator Settings
— RSI Period: Default 14 (range 2–100)
— S/R and Golden Zone Lookback: Default 20 bars (range 5–500)
— Volume SMA Period: Default 20 (range 2–200)
Signal Logic
— Minimum Conditions: Default 4 (range 1–4). Controls how many conditions must agree for a signal.
Chart Lines
— Show/Hide toggle for all chart drawings
— Timeframe selection for plotted levels
— Individual color pickers for Support, Resistance, and Golden Zone
— Line width and style (Solid, Dashed, Dotted)
— Show/Hide price labels
— Golden Zone fill toggle and transparency control
Alerts
10 pre-configured alert conditions:
— LONG and SHORT alerts for each individual timeframe (8 alerts)
— "Any TF LONG" — fires when at least one timeframe triggers LONG
— "Any TF SHORT" — fires when at least one timeframe triggers SHORT
Set these up in TradingView's alert dialog to receive notifications when signals change.
Best practices
— Use this as a confluence filter alongside your own price action analysis, not as a standalone entry signal.
— When multiple timeframes show the same signal simultaneously, conviction is significantly higher than a single-timeframe signal.
— For crypto pairs, the Volume USDT calculation is most accurate. For forex and equities, the volume column still shows relative volume strength but does not represent actual USDT value.
— The 20-bar lookback on a 15-minute chart covers roughly 5 hours. On a daily chart, it covers 20 trading days. Keep this asymmetry in mind when comparing timeframe signals.
— Start with the default threshold of 4/4 to learn the indicator's behavior before experimenting with lower thresholds.
Disclaimer
This indicator is a technical analysis tool for educational and informational purposes. It does not constitute financial advice, and past performance does not guarantee future results. Always use proper risk management. Never risk capital you cannot afford to lose. The signals generated are mathematical calculations based on historical price and volume data and should be used as one component of a broader, well-tested trading strategy. Indicator
Indicator
Cyclic RSI Adaptive Length & Dynamic BandsOverview
A fixed RSI length of 14 is an arbitrary choice — it fits some markets and fights others. Cyclic RSI measures the market's dominant cycle directly from the data and sets the RSI length to half of it, so the read auto-tunes across symbols and timeframes. On top of that it does two more things a plain RSI can't: it draws overbought/oversold bands that adapt to the recent distribution instead of an assumed 70/30, and it applies a cycle-strength gate — because a cyclic oscillator's turns only mean something when a real cycle is actually present. When the spectrum is flat, the pane greys out and the reversal reads are suppressed. It is a momentum/timing tool, not a signal to trade alone.
Why these components are ONE tool (mashup justification)
Each stage exists to fix a specific weakness in the stage before it:
Dominant-cycle measurement. A roofing filter (a high-pass to strip trend plus a smoother to strip noise) isolates the cycle band, and an autocorrelation periodogram over a range of lags produces a power spectrum. Its centre of mass is the dominant cycle; how sharply it peaks is a confidence reading. This is the measurement most cycle work considers more robust than phase-based methods.
Adaptive length. The RSI length is set to half the measured cycle (clamped). This is the whole point — it removes the overfit of a fixed lookback. Because Pine's built-in RSI needs a constant length, the RSI here is summed by hand over the varying half-cycle.
Cyclic smoothing. An optional phasing filter reduces lag so turns are timelier, then a SuperSmoother cleans the line.
Adaptive bands. Overbought and oversold are percentiles of the oscillator's own recent distribution, so the thresholds fit the instrument and regime instead of an assumed 70/30.
Cycle gate + calibration harness. Turns fire only when cycle confidence clears the gate, and a forward harness measures whether those gated turns actually led a move versus the base rate. The cycle read is the picture; the gate says when to trust it; the harness is the proof. Remove any one and you're back to a fixed-length RSI firing overbought/oversold turns in a trend, where they fail most.
How it works
The roofing filter isolates the cycle band. Autocorrelation across lags, projected onto a small set of frequencies, yields a per-period power spectrum smoothed across bars; its centre of mass (over the significant peaks) is the dominant cycle, and its concentration — one sharp peak versus a flat spread — is the confidence. RSI length = half that cycle. The RSI is summed directly over that length, optionally phase-smoothed, then smoothed again. The overbought/oversold bands are recent percentiles of the smoothed oscillator, and a turn off a band is only flagged when confidence clears the gate.
How to use it
Read the oscillator against its adaptive bands, not fixed lines. A turn up off the lower band is a potential reversion long; a turn down off the upper band a potential short — but only trust them when the pane is not greyed (a cycle is present). When the gate is closed, the market is trending or has no clear cycle, and mean-reversion reads are unreliable — that's the tool telling you to stand down, which is exactly when a naive RSI would keep firing losing signals. Gated turns are marked in the pane and, optionally, mirrored on the price chart (up/down triangles) so you can read them without leaving the price. Watch the Edge row: it reports whether gated turns have actually led moves on this instrument. It is never a standalone trigger.
Universal & non-repainting
The source is an input, so it runs on any symbol and timeframe. The oscillator updates live like any RSI; the calibration harness logs and resolves only on closed (confirmed) bars, so its Edge never inflates intrabar. Edge figures are in-sample, close-to-close, with no costs — a study aid, not a backtest. The heaviest part is the periodogram (a bounded lag × frequency scan); if load is slow on very low timeframes, lower the max lag.
Originality
The parts are public: the RSI, roofing filters, autocorrelation-periodogram cycle estimation, half-cycle adaptive RSI length, cyclic smoothing, and distribution-based bands. What's assembled here that isn't sitting on a shelf is the combination: an adaptive-length cyclic RSI wrapped in a spectral-concentration confidence gate that greys the pane and suppresses turns when no cycle is present, plus a forward-calibration harness that scores those gated turns against their base rate. The gate and the harness are this script's own; the rest is credited below. This is an independent Pine v6 implementation — no third-party code is copied verbatim.
Concept credits
Relative Strength Index — J. Welles Wilder.
Roofing filter (high-pass + SuperSmoother), the autocorrelation-periodogram dominant-cycle estimate, and the half-cycle adaptive RSI — John Ehlers (Cycle Analytics for Traders, Rocket Science for Traders).
Cyclic phasing smoother and distribution-based dynamic bands — after Lars von Thienen's cyclic-smoothed RSI (cRSI), from Decoding the Hidden Market Rhythm (whentotrade). That work is licensed Creative Commons Attribution 4.0 International (CC BY 4.0) — creativecommons.org . This script is an independent implementation adapted from that method, with changes (v6 rewrite, spectral-concentration gate, percentile bands, calibration harness); attribution is given as the licence requires.
Disclaimer
Research and educational tool only. Not financial advice, no recommendation, no guarantee of results. Markets are only intermittently cyclic; the cycle estimate lags and gets noisy at regime shifts, which is exactly why the gate exists. Indicators describe past behaviour; they do not predict the future. Trading carries risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability. Indicator
GRAM RSI Strategy [3Commas]GRAM RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for GRAM / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
Single entry filter: 4h RSI(14) below 28 (deep oversold).
Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
Fixed take-profit on the blended average entry; no trailing, no stop loss.
Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
Swing traders accumulating GRAM on deep RSI flushes rather than chasing momentum.
Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 78 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and the profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If GRAM trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 2.21% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within GRAM's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: GRAM / USDT — strategy is portable to any GRAM / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — July 3, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +3,822.76 USDT (+3.82%)
Max Equity Drawdown: 2,283.04 USDT (2.21%)
Total Closed Trades: 78
Percent Profitable: 69.23% (54 / 78)
Profit Factor: 4.791
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 2.21%. Keep in mind the 78-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas TradingView 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
Fibonacci EMA RSI Engine [StrixEDGE]StrixFIBER is a three-pillar confluence indicator that combines automatic Fibonacci retracement levels, EMA 50/200 trend structure, and RSI overbought/oversold detection into a single chart overlay. Signals fire only when multiple pillars confirm the same direction, with separate labels for standard and strong (all-three) confluence.
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🔶 THE THREE PILLARS
PILLAR 1 — AUTO FIBONACCI
The indicator automatically calculates Fibonacci retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%) from the highest high and lowest low over a configurable lookback period. All seven levels are plotted on the chart with price labels at the right edge.
The 50%–61.8% range is highlighted as the "Golden Zone" — the area where price most commonly finds support or resistance during healthy retracements. When price is within ATR proximity of a key Fibonacci level, the indicator scores it as "at support" or "at resistance" depending on price position relative to the 50% midpoint.
PILLAR 2 — EMA 50 / 200
The classic dual exponential moving average system. EMA 50 is colored green when above EMA 200 (bullish structure) and red when below (bearish structure). Golden Cross (EMA 50 crossing above EMA 200) and Death Cross (EMA 50 crossing below EMA 200) events are marked with diamond shapes on the chart.
The EMA pillar provides the trend context. Fibonacci support levels are more meaningful in a bullish EMA structure; resistance levels are more meaningful in a bearish structure.
PILLAR 3 — RSI OVERBOUGHT / OVERSOLD
RSI is calculated at a configurable length (default 14) with configurable OB/OS thresholds (default 70/30). The RSI line itself is not plotted (this is an overlay indicator), but OB and OS entries are marked as small colored circles above and below price bars.
OVERBOUGHT
OVERSOLD
The RSI pillar fires a bullish score when RSI recovers from oversold (crosses back above the OS threshold) and a bearish score when RSI drops from overbought (crosses back below the OB threshold). This captures the reversal moment, not just the extreme reading.
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🔶 CONFLUENCE LOGIC
Each pillar scores +1 (bullish), −1 (bearish), or 0 (neutral) independently. The scores are aggregated:
→ 3/3 Pillars = "Strong Buy" or "Strong Sell" — all three pillars fully aligned. Highest conviction.
BUY -
SELL -
→ 2/3 Pillars = "Buy" or "Sell" — two of three pillars agree. Standard conviction.
→ 1/3 Pillars = No signal by default (configurable).
The minimum number of pillars required for a signal is adjustable (1, 2, or 3). Default is 2.
Additional signal filtering:
→ Flip-Only Logic: After a Buy, the next signal must be a Sell (and vice versa). No consecutive same-direction signals.
→ Cooldown: Configurable minimum bars between signals (default 10).
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🔶 VISUAL FEATURES
Fibonacci Levels
→ All 7 standard levels plotted as colored lines (thicker for 50% and 61.8%)
→ Golden Zone (50–61.8%) highlighted with a translucent fill
→ Price labels at the right edge of each level showing the exact price value
EMA System
→ EMA 50 colored by trend direction (green above EMA 200, red below)
→ EMA 200 as a steady reference line
→ Golden Cross (GC) and Death Cross (DC) diamond markers
RSI Markers
→ Small green circles below bars when RSI enters oversold
→ Small red circles above bars when RSI enters overbought
→ RSI value displayed in the dashboard (not as a separate pane line)
Signals
→ Buy / Sell labels with exact entry price
→ "Strong Buy" / "Strong Sell" labels when all 3 pillars align (darker color for distinction)
→ Entry price horizontal line persists for 20 bars
→ ATR-based stop-loss level plotted below/above entry
Dashboard
→ EMA trend status with direction
→ RSI current value and zone (Overbought / Oversold / Neutral)
→ Fibonacci proximity status (At Support / At Resistance / Between)
→ Nearest Fibonacci level with distance in ATR units
→ Pillar confluence count and direction
→ Last signal direction and age (bars ago)
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🔶 SETTINGS GUIDE
Fibonacci
• Lookback Period (default 120) — Bars used for highest high / lowest low. Increase for wider retracement levels, decrease for tighter ones.
• Fibonacci Proximity (default 0.5 ATR) — How close price must be to a level to count as "at support/resistance." Lower = stricter.
EMA
• Fast EMA (default 50) — The responsive trend line.
• Slow EMA (default 200) — The structural trend anchor.
RSI
• Length (default 14) — Standard RSI lookback.
• Overbought (default 70) / Oversold (default 30) — Zone thresholds.
Signals
• Minimum Pillars (default 2) — Set to 3 for highest quality signals only.
• Cooldown (default 10 bars) — Minimum spacing between signals.
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🔶 WHAT MAKES THIS ORIGINAL
While Fibonacci, EMA, and RSI are individually common, StrixFIBER integrates them through a structured pillar scoring system with proximity-based Fibonacci detection, RSI recovery signals (not raw readings), and automatic signal strength classification. The confluence layer evaluates whether a Fibonacci level is meaningful (is the EMA structure supporting it? is momentum confirming it?) rather than displaying the three tools independently. The ATR-based proximity detection for Fibonacci levels, combined with the transition-based RSI scoring and flip-only signal enforcement, creates a framework that is more than the sum of its parts.
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🔶 RECOMMENDED USE
Designed for day trading on 15-minute to 1-hour charts across all markets: crypto, forex, stocks, indices, and commodities. Works well alongside StrixEDGE (trend confluence overlay) and StrixPULSE (pressure spectrum in a separate pane) for a complete multi-indicator setup.
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⚠️ DISCLAIMER
This indicator is a technical analysis tool, not financial advice. No indicator guarantees profitable outcomes. Past performance of any signal does not indicate future results. Always apply proper risk management and use this tool as one component of a complete trading plan.
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5 alert conditions: Buy Signal, Sell Signal, Any Signal, Golden Cross, Death Cross. Indicator
Adaptive Confluence Engine [StrixEDGE]Adaptive Confluence Engine
🔷 HOW IT WORKS
The indicator evaluates the market through four independent modules. Each module scores the current bar as bullish (+1), bearish (−1), or neutral (0). Volume and volatility modules act as confirmation filters and score +1 (confirmed) or 0 (not confirmed). The individual scores are aggregated into a confluence score ranging from 0 to 4 for each direction.
A signal fires only when:
→ The confluence score crosses above the minimum threshold (transition detection)
→ The previous signal was in the opposite direction (flip-only logic — no consecutive Buy-Buy or Sell-Sell)
→ A cooldown period has elapsed since the last signal
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🔷 THE FOUR MODULES
MODULE 1 — TREND
Uses a Hull Moving Average (HMA) for responsive trend direction and a Weighted Moving Average (WMA) as a trend position filter. Bullish: HMA rising AND price above WMA. Bearish: HMA falling AND price below WMA. The HMA reacts faster than a standard EMA while filtering out noise, and the WMA acts as a structural trend gate.
MODULE 2 — MOMENTUM
Combines RSI zone analysis with MACD histogram acceleration. RSI is evaluated against configurable directional thresholds (default 55/45), not traditional overbought/oversold levels. The MACD histogram must be positive AND increasing for bullish momentum (or negative AND decreasing for bearish). This captures momentum that is actively building, not fading.
MODULE 3 — VOLUME
Volume must exceed its simple moving average by a configurable multiplier AND the short-term volume trend (5-bar SMA) must be rising relative to the medium-term (10-bar SMA). This confirms that participation is genuine and sustained, not a single-bar spike.
MODULE 4 — VOLATILITY FILTER
Calculates the ATR percentile rank over a configurable lookback period. Signals are suppressed when volatility falls below the low percentile (indicating a dead, range-bound market with no follow-through potential) or above the high percentile (indicating chaotic conditions where stops are too wide and reversals too sudden). Only the "sweet spot" of volatility passes.
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🔷 SIGNAL LOGIC
The signal generation uses three layers of filtering:
1. Transition Detection — Signals fire only on the bar where the confluence score first crosses the minimum threshold, not on every bar it remains above it.
2. Flip-Only Mode — After a Buy signal, the next signal must be a Sell (and vice versa). This prevents consecutive same-direction signals and ensures alternating entries.
3. Cooldown — A configurable minimum number of bars must pass between any two signals, preventing rapid-fire entries during volatile transitions.
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🔷 VISUAL FEATURES
→ Buy / Sell labels with exact entry price displayed on the chart
→ Entry price horizontal line (persists for 20 bars after signal)
→ ATR-based dynamic stop-loss levels
→ Hull Moving Average (colored by direction) and WMA overlay
→ Background shading when confluence is active
→ Real-time dashboard showing status of all four modules, ATR reading with percentile, and aggregate confluence score
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🔷 SETTINGS GUIDE
Trend Module
• Fast HMA Length (default 9) — Lower values react faster but produce more noise.
• Slow WMA Length (default 21) — The structural trend gate. Higher values require stronger trends.
Momentum Module
• RSI Bullish/Bearish Threshold (default 55/45) — These are directional filters, not overbought/oversold. Widen to 60/40 for stricter momentum requirements.
• MACD settings (12/26/9) — Standard defaults. Adjust for faster or slower momentum reads.
Volume Module
• Volume SMA Length (default 20) — Lookback for average volume calculation.
• Volume Threshold (default 1.0) — Multiplier applied to the volume SMA. Increase to 1.2–1.5 to require above-average volume.
Volatility Filter
• ATR Length (default 14) — Period for ATR calculation.
• ATR Lookback (default 100) — Number of bars for percentile ranking.
• Low/High Vol. Percentile (default 10/90) — Defines the acceptable volatility range. Narrow to 20/80 for stricter regime filtering.
Signal Control
• Min. Confluence Score (default 3) — Number of modules that must agree. Higher = fewer but higher-quality signals.
• Signal Cooldown (default 5 bars) — Minimum spacing between signals.
• Stop-Loss ATR Multiple (default 1.5) — Distance of the stop-loss from the signal bar.
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🔷 WHAT MAKES THIS ORIGINAL
StrixEDGE does not replicate any single built-in indicator. Its value lies in the confluence scoring architecture: four independent analysis dimensions, each evaluating a different market property (direction, momentum, participation, regime), aggregated through a transition-based scoring system with flip-only signal control. The combination of ATR percentile volatility filtering, MACD histogram acceleration (not just crossover), and alternating-direction signal enforcement creates a framework that is structurally distinct from standard indicator overlays.
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🔷 RECOMMENDED USE
Designed for day trading timeframes (15-minute to 1-hour charts). Works across all markets with volume data: crypto, forex, stocks, indices, commodities. Start with the default settings and adjust based on the instrument's behavior. Use the dashboard to understand why signals fire or don't fire.
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⚠️ DISCLAIMER
This indicator is a technical analysis tool, not financial advice. No indicator guarantees profitable outcomes. Past performance of any signal does not indicate future results. Always apply proper risk management and use this tool as one component of a complete trading plan.
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5 alert conditions available: Buy Signal, Sell Signal, Any Signal, Bull Active, Bear Active. Indicator
[ A L P H A X ] BREAKRUNE - Pattern Breakout RSI EngineAlphaX BREAKRUNE — Pattern Breakout Intelligence + RSI Trigger Engine: Real vs Fake Breakout Classification, Five-Pattern Detection, Fakeout Reversal Signals & Pending State Machine
AlphaX BREAKRUNE is a professional-grade breakout intelligence system built around a single foundational problem that defeats most breakout traders: the inability to distinguish a genuine structural breakout from a fakeout in real time. Most breakout indicators fire on any close beyond a pattern boundary — and then leave the trader holding a loss when price immediately reverses back inside the structure. BREAKRUNE solves this at the architectural level by separating breakout detection into three sequential phases — pattern recognition, breakout classification, and RSI trigger confirmation — and requiring all three to align before a signal fires. Every raw break is first classified as PENDING, then evaluated over a configurable decision window for either TRUE BREAK or FAKEOUT status using candle body and wick geometry, and only confirmed true breaks with RSI momentum alignment produce long or short entry signals. Fakeouts become their own opportunity: when a breakout is classified as fake, BREAKRUNE reverses the bias and watches for an RSI-confirmed trap reversal signal in the opposite direction. The result is a system that profits not just from real breakouts but also from the very fakeouts that trap the crowd — with the RSI trigger layer ensuring every entry has genuine momentum behind it. Designed for traders across crypto, forex, gold, and indices on any timeframe.
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🔮 The Core Philosophy — Three Phases Before a Signal
The fundamental failure of conventional breakout systems is compression of the detection and confirmation steps into a single bar event. Price closes above resistance — signal fires. This approach has no mechanism for distinguishing momentum breakouts from stop-hunt spikes, thin-market wicks, or false structural breaks that reverse immediately.
BREAKRUNE separates these into three distinct sequential phases that every potential signal must pass through:
Phase 1 — Pattern Recognition:
The system continuously scans the pivot structure to identify one of five major pattern types — Range, Double Top/Bottom, Triangle, Wedge, or Trend Channel. The detected pattern provides the structural context for the breakout evaluation: where the resistance and support levels are, what the directional bias of the formation is, and whether the pattern height meets the minimum size requirement for a qualified break.
Phase 2 — Breakout Classification:
When a raw break of the pattern boundary occurs, the system enters PENDING state. Over the next configurable bars (the fakeout decision window), it watches for one of two outcomes. If candles close back inside the structure with a significant rejection wick, the break is reclassified as FAKEOUT. If the required number of candles all close beyond the boundary without a wick rejection, the break is classified as TRUE BREAK. No premature signal fires during this window — the system waits for the evidence.
Phase 3 — RSI Trigger Confirmation:
Only after a TRUE BREAK or FAKEOUT classification does the RSI trigger layer evaluate. For true breaks, the Fast RSI must be above the configured long trigger (default: 55) with Core RSI above 50 and both RSI slopes positive. For fakeout reversals, the Fast RSI must cross the midline in the reversal direction with positive directional slope. Both must pass the quality score gate. Only then does a signal fire.
This three-phase architecture is what makes BREAKRUNE categorically different from breakout indicators that react to a single bar event.
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📐 Five-Pattern Detection Engine
BREAKRUNE continuously classifies the current market structure into one of five pattern types using the most recent confirmed pivot highs and lows. Every pattern provides resistance (res) and support (sup) levels used as the breakout boundaries.
Pattern detection uses:
Confirmed fractal pivot highs and lows (configurable pivot length, default: 5 bars each side), ATR-normalized tolerance values for determining flat vs sloped levels, and a minimum pattern height filter to eliminate micro-structures.
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Range:
Both the most recent pivot high and pivot low are within the flat level tolerance (default: 0.35× ATR) of their respective prior pivots — price has been oscillating between approximately horizontal support and resistance. The pattern bias is neutral (patBias = 0) — a range can break either direction. The resistance is the average of the two pivot highs; support is the average of the two pivot lows.
Double Top / Double Bottom:
Two pivot highs at approximately the same level (within flat tolerance) with the current price below both peaks — Double Top, bearish bias. Or two pivot lows at the same level with current price above — Double Bottom, bullish bias. The pattern height is the distance from the support/resistance level to the opposing pivot extreme. The directional bias (patBias) is set accordingly — bearish for Double Top, bullish for Double Bottom.
Triangle (Converging):
The pivot highs are trending lower (by more than the trend shift tolerance, default: 0.20× ATR, between consecutive highs) while the pivot lows are trending higher — a symmetrical converging triangle. No directional bias is set (patBias = 0) since triangles resolve in either direction. The resistance is the most recent pivot high; support is the most recent pivot low.
Wedge:
Both pivot highs and pivot lows are trending in the same direction. Rising Wedge: both highs and lows trending upward — despite the upward direction the narrowing structure is bearish (patBias = -1). Falling Wedge: both trending downward — bullish (patBias = 1). The wedge pattern is identified when the pivot-to-pivot shift exceeds the trend tolerance on both sides in the same direction.
Trend Channel:
Pivot highs are trending in one direction and pivot lows are trending in the same direction, but the high trend direction opposes the expected wedge classification — a parallel channel. The channel bias follows the direction of the trend (upward-sloping channel = bullish patBias, downward = bearish).
Pattern freshness filter:
All pivot-based pattern detections are subject to a maximum age constraint (default: 80 bars from the most recent contributing pivot). Patterns older than this threshold are excluded from pattern detection — the oldest pivot must be within the freshness window for the pattern to be considered current and relevant.
Pattern size validation:
The pattern height (distance from support to resistance) must meet or exceed the minimum pattern height in ATR multiples (default: 1.1× ATR). This sizeOk condition contributes 2 points to the quality score — the largest single weight component — and reflects that properly sized patterns have more institutional significance than micro-structures.
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⚡ The Breakout Classifier — PENDING → TRUE BREAK or FAKEOUT
When price closes beyond a pattern boundary by more than the break threshold (default: 0.12× ATR), a raw break event is registered and the breakout classifier enters PENDING state. From this moment, every bar within the fakeout decision window (default: 5 bars) is evaluated.
Raw break detection:
Long raw break: Close above the resistance level plus break threshold, with the pattern allowing long breaks (not a bearish pattern — Double Top and Rising Wedge suppress long breaks)
Short raw break: Close below the support level minus break threshold, with the pattern allowing short breaks
PENDING state variables stored at the break bar:
The direction (pendingDir), the exact level broken (pendingLvl), the bar index of the break (pendingBar), and the pattern name (pendingPat) are all stored in persistent variables. The PENDING state is displayed on the dashboard CLASS row as PENDING — visible awareness that a break has occurred and is being evaluated.
FAKEOUT classification:
Within the fakeout window (pendingAge ≤ fakeWindow), if price closes back inside the pattern:
For a long break fakeout: close falls back below the broken resistance level AND the upper wick of the current bar exceeds the configurable minimum wick rejection ratio (default: 45% of bar range) — the bar closed back inside with a dominant upper wick, confirming selling rejection of the attempted breakout
For a short break fakeout: close rises back above the broken support AND the lower wick exceeds the minimum ratio
When these conditions are met, pendingFake is set to true and the CLASS row displays FAKEOUT — the orange classification that activates the trap reversal signal pathway.
TRUE BREAK classification:
When the configurable number of consecutive candles (default: 2 bars) all close beyond the broken level — `ta.lowest(close, confirmBars) > pendingLvl` for longs, `ta.highest(close, confirmBars) < pendingLvl` for shorts — without any fakeout having been detected, pendingTrue is set to true and CLASS displays TRUE BREAK. The confirmed candles all remaining beyond the level eliminates the single-bar false breakout.
Window expiry:
If neither FAKEOUT nor TRUE BREAK is classified within the fakeout window, the pending state expires silently — pendingDir resets to zero, the level clears, and the system resumes scanning. This prevents stale pending states from generating signals long after the relevant price action has passed.
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📊 The RSI Trigger Layer — Momentum Gating on Classified Breaks
The RSI trigger layer is the final gate before a signal fires. It ensures every entry — whether on a true break or a fakeout reversal — has genuine momentum direction behind it at the moment of entry.
Dual RSI architecture:
Fast RSI (default: 7 periods) — the timing layer. Reacts quickly to price movement and provides the momentum trigger reading
Core RSI (default: 14 periods) — the confirmation layer. The intermediate momentum context that must agree with the fast RSI direction
RSI slope measurement:
Both RSI slopes are computed over the configurable slope bars (default: 3 bars) — the current RSI value minus the value N bars ago. A positive slope means RSI is accelerating; a negative slope means decelerating.
True Break Long RSI conditions (rsiLongOk):
Fast RSI above the long trigger threshold (default: 55) — momentum has already crossed into bullish territory
Core RSI above 50 — the intermediate RSI confirms the bullish bias
Fast RSI slope positive — momentum is still accelerating upward
Core RSI slope non-negative — intermediate momentum is not rolling over
True Break Short RSI conditions (rsiShortOk):
Fast RSI below the short trigger threshold (default: 45)
Core RSI below 50
Fast RSI slope negative
Core RSI slope non-positive
Fakeout Reversal RSI conditions:
Trap Long (rsiTrapLong): Fast RSI crosses above 50 (ta.crossover) with a positive slope — the RSI midline crossover after the fakeout confirms the reversal is gaining momentum
Trap Short (rsiTrapShort): Fast RSI crosses below 50 with a negative slope
Why the RSI trigger is a layer, not a gate: The RSI conditions are required for the signal to fire but are also the primary quality score component (2 points when fully met). This dual role means the RSI is simultaneously a hard entry requirement and a quality contributor — signals that barely pass the RSI threshold score lower than signals where momentum is strongly confirmed.
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🔀 The Fakeout Reversal — Trapping the Trap
The fakeout reversal is BREAKRUNE's most distinctive and high-reward signal type. When a long breakout is classified as FAKEOUT (price returned below resistance with a rejection wick), the crowd that bought the breakout is now trapped — holding longs above what has become confirmed resistance again. The RSI trap reversal watches for the Fast RSI to cross below 50 with negative slope: the momentum of the trapped buyers failing. When this occurs within the cooldown window, a short signal fires — entering precisely as the trapped longs begin capitulating.
Why fakeout reversals often produce the strongest moves: A failed breakout above resistance concentrates stop losses of all the breakout buyers just above the resistance level. As those stops are triggered on the reversal, they add selling pressure to the downside move — creating a self-reinforcing cascade. The fakeout reversal entry captures this cascade from near the top.
Enabling/disabling: The Enable Fakeout Reversal Signals setting (default: on) controls whether trap reversal signals are active. Disabling it restricts BREAKRUNE to true break signals only — appropriate for traders who prefer pure momentum continuation entries.
Visual differentiation: True break signals are rendered in the standard bull/bear score-based colors (yellow-green for longs, red for shorts). Fakeout reversal signals fire through the same triangle shapes but with the quality score reflecting the trap penalty — trap signals score 1 point on the setup component vs 2 for true breaks, naturally producing slightly lower overall scores that are reflected in the triangle's brightness.
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🏅 The 10-Point Quality Score
Every signal — true break or fakeout reversal — is scored through a 10-point composite system before it can fire. Signals below the minimum threshold (default: 5) are suppressed regardless of classification.
Score components:
Pattern Size (up to 2 points):
sizeOk (pattern height ≥ minimum ATR threshold) scores 2 points. A zero-score here (pattern too small) alone can suppress a signal by 2 points — the largest single deduction possible. Well-sized patterns carry proportionally more institutional significance and this component enforces that.
RSI Trigger Alignment (up to 2 points):
rsiLongOk (for long signals) or rsiShortOk (for short signals) scores 2 points. This is the second largest component — reflecting that genuine momentum confirmation at the moment of entry is as important as pattern quality. Signals where RSI barely meets the threshold (Fast RSI just above 55 with flat slope) score these 2 points; signals where RSI is not aligned at all score 0.
Signal Type (1–2 points):
True break signals score 2 points; fakeout reversal (trap) signals score 1 point. This weighting reflects the inherently lower confirmation of a reversal trade versus a confirmed structural continuation — the trap trade is valid but carries more uncertainty.
Volume Confirmation (1 point):
Current bar volume meets or exceeds the volume average × multiplier (default: 1.1×). When volume confirmation is disabled in settings, this point is always awarded.
Non-Chop Market (1 point):
Choppiness Index is below the configured threshold (default: 62.0). Also enforced as a hard gate — extreme chop blocks all signals regardless of score.
HTF Bias (up to 2 points):
When useHtf is on and the higher timeframe EMA structure agrees with the signal direction (htfBull for longs, htfBear for shorts), 2 points are awarded. When HTF is disabled, 1 neutral point is always given. When HTF opposes the signal and useHtf is on, 0 points. This component has the same maximum weight as RSI and pattern size — reflecting the institutional significance of macro directional alignment.
Grade-coded signal colors:
Score 8–10 → full brightness (colBull / colBear). Score 6–7 → slightly dimmer. Score below 6 → transparent-tinted version. The triangle color communicates quality at a glance without reading the dashboard.
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📊 Live Dashboard
The 10-row real-time dashboard displays the complete internal state of the breakout classifier and all filter conditions.
PATTERN — the current detected pattern: Range, Dbl Top, Dbl Bot, Triangle, Rising Wedge, Falling Wedge, Up Channel, Down Channel. Purple color. Updates on every bar as the pivot structure evolves
CLASS — the current breakout classification state: IDLE (no pending break), PENDING (raw break registered, evaluating), TRUE BREAK (confirmed continuation), FAKEOUT (rejection detected, reversal watching). Color-coded — yellow-green for TRUE BREAK, orange for FAKEOUT, neutral for IDLE/PENDING
BIAS — the directional bias: BULL (pendingDir=1 or patBias=1), BEAR (pendingDir=-1 or patBias=-1), or NEUTRAL. Yellow-green or red
LEVELS — the current support and resistance levels as a price pair (e.g., "2450.50 / 2490.25"). The exact boundaries the breakout classifier is watching
QUALITY — the live quality score out of 10. Yellow-green when at or above the minimum threshold, neutral otherwise
RSI F/C — the live Fast RSI and Core RSI values as a pair (e.g., "58.4 / 53.7"). Yellow-green when above 50, red when below
HTF — higher timeframe EMA structure: ▲ BULL, ▼ BEAR, or — FLAT
CHOP — live Choppiness Index value. Orange when above the block threshold
VOL — CONFIRMED (volume above threshold) or LIGHT (below threshold). Yellow-green or orange
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📈 Chart Visual System
Pattern Boundary Lines — when Show Pattern Boundary Lines is enabled, a resistance line (res, red-tinted) and support line (sup, yellow-green-tinted) are drawn from the pattern's origin bar to the current bar, showing the exact levels the breakout classifier is watching
▲ Triangle (below bar) — long signal. Full brightness yellow-green for score 8+, standard for 6–7, transparent-tinted for minimum score. Fires on both TRUE BREAK longs and FAKEOUT reversal longs (trap shorts become long entries)
▼ Triangle (above bar) — short signal with matching grade-coded coloring
✕ Cross (above bar, orange) — fakeout mark for a failed long breakout. Appears when Show Fakeout Marks is enabled and fakeLongNow fires. The orange × above the bar is the visual alert that a bull breakout has been rejected
✕ Cross (below bar, orange) — fakeout mark for a failed short breakout
Candle tinting — when Show Tint Candles by Active Bias is enabled, bars are tinted yellow-green (bias=1) or red (bias=-1) during active pending or pattern-biased periods. The tint shows the directional context continuously, not just at signal bars
SL Line (red dashed) — when Show SL + TP1 + TP2 is on, the ATR-based stop loss level extending guideExtend bars forward
TP1 Line (lime dotted) — first take profit at 1.8× ATR from entry
TP2 Line (bright yellow-green dashed, width 2) — second take profit at 3.0× ATR from entry
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🚀 How to Trade with AlphaX BREAKRUNE — Step by Step
Step 1 — Read the Pattern and Levels
Check the PATTERN row on the dashboard — what structure is the system currently detecting? A Triangle or Wedge has directional bias; a Range or Double Top/Bottom has a directional expectation. Understanding the pattern context helps you assess which breakout direction is more probable
Check the LEVELS row — note the exact support and resistance prices. These are the lines the classifier is watching. If price is approaching resistance, a long break event may be imminent
Check BIAS — if it already shows BULL or BEAR from the pattern's directional classification, the system has a pre-existing directional lean before any break occurs
Step 2 — Monitor the Breakout Classification
When CLASS changes from IDLE to PENDING, a raw break has occurred. Watch the dashboard closely over the next fakeWindow bars — CLASS will shift to either TRUE BREAK or FAKEOUT
If CLASS shows FAKEOUT with an orange × appearing on the chart, the fakeout reversal pathway has activated. Check RSI F/C — is the Fast RSI approaching or crossing the 50 midline in the reversal direction?
If CLASS shows TRUE BREAK, check RSI F/C — is Fast RSI above 55 (long) or below 45 (short) with Core RSI confirming and slopes positive? If yes, a signal is likely imminent or has just fired
Step 3 — Enter on the Triangle Signal
A ▲ or ▼ triangle confirms all three phases have aligned — pattern identified, break classified, RSI triggered, quality scored
Read the triangle color — bright full-color triangle is Grade A (score 8+). This is the premium entry with all components confirming. Faded triangles are Grade C — valid but with reduced size
The QUALITY row shows the exact score. For fakeout reversal signals, the score will typically be 1 point lower than an equivalent true break signal due to the trap signal type weighting
Enable Show SL + TP1 + TP2 to see the ATR guide levels projecting forward from the signal bar
Step 4 — Manage the Trade
Watch the CLASS row during the trade. A new PENDING state in the opposing direction during an open position is an early warning that a counter-breakout is developing
Monitor RSI F/C — if Fast RSI begins rolling toward 50 against the trade direction, intermediate momentum is weakening. Consider taking TP1
The candle tint changing from yellow-green to red (or vice versa) during a trade means the bias has reversed — this is a structural exit cue
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⚠ Identifying Low-Quality Conditions — When Not to Trade
Stand aside when:
CHOP is orange on the dashboard — the hard chop gate is active. All signals are blocked. Pattern breakouts in extreme chop environments are dominated by noise — the range is too oscillatory for genuine structural breaks
CLASS shows PENDING for multiple consecutive bars with no resolution — when the system remains in PENDING state approaching the fakeWindow expiry without classifying as either TRUE BREAK or FAKEOUT, the break is ambiguous. The system will expire it silently. This ambiguity itself is a warning — directional commitment is absent
Pattern height is too small (sizeOk = false, quality score below 7) — the pattern exists but is too narrow to produce meaningful measured moves. Low-quality entries at micro-patterns carry reduced reward with the same stop risk
HTF Bias opposes the breakout direction — a bull breakout signal against a bearish HTF produces 0 HTF confluence points. The signal may still fire if other components score sufficiently, but counter-HTF breakouts resolve in the HTF direction far more often than not
FAKEOUT class appears but RSI is not approaching the midline — a fakeout has been detected but the RSI trigger for the reversal has not yet materialized. ARM SHORT / ARM LONG conditions are developing but no signal has fired. Do not anticipate the reversal signal without the RSI confirmation — the reversal could still fail
Multiple rapid PENDING → expiry cycles without TRUE BREAK or FAKEOUT — when the classifier repeatedly enters and exits PENDING state without resolving, the pattern boundary is being tested multiple times without follow-through. This is range-bound behavior masquerading as a breakout environment. Increase the break threshold or wait for a cleaner structural setup
The ideal BREAKRUNE setup:
Well-sized pattern (sizeOk true, pattern height 2× ATR or more)
Clean single raw break bar followed by TRUE BREAK classification within 2–3 bars
Fast RSI clearly above 55 (long) or below 45 (short) with positive/negative slopes on both RSI layers
HTF aligned with the breakout direction
Volume confirmed on the breakout bar
Chop Index well below threshold
Quality score at 8–10 (Grade A triangle, full brightness)
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⚡ Key Features
🔮 Three-phase breakout architecture — Pattern Recognition → Breakout Classification (PENDING → TRUE BREAK or FAKEOUT) → RSI Trigger Confirmation. No signal fires without all three phases completing sequentially
📐 Five-pattern detection engine — Range, Double Top/Bottom, Triangle, Rising/Falling Wedge, and Trend Channel identified from confirmed pivot structure with freshness and size filters
⚡ Real vs fake breakout classifier — candle body and wick geometry over a configurable decision window distinguishes genuine structural breaks from stop-hunt reversals before the signal fires
🔀 Fakeout reversal signal mode — when a break is classified as FAKEOUT, BREAKRUNE reverses bias and watches for an RSI midline crossover trap signal in the opposing direction, profiting from the crowd that got trapped
📊 Dual RSI trigger layer — Fast RSI (7) for timing precision and Core RSI (14) for momentum confirmation, with slope measurement on both. Required alignment conditions differ between true break and trap reversal entries
✕ Live fakeout markers — orange × marks above (failed long break) or below (failed short break) on bars where fakeout classification occurs, providing real-time awareness of failed breakouts independently of signal generation
🏅 10-point quality scoring — Pattern Size (2pts), RSI Alignment (2pts), Signal Type (1–2pts), Volume (1pt), Non-Chop (1pt), HTF Bias (2pts). Grade-coded triangle colors reflect score quality at a glance
🎨 Candle tinting — bars tinted yellow-green during bull pending/bias periods and red during bear periods, providing continuous directional context between signals
📊 10-row live dashboard — Pattern, Class, Bias, Levels, Quality, RSI F/C, HTF, Chop, and Volume updated in real time every bar
🔔 3 alert conditions — BREAKRUNE Long, BREAKRUNE Short, BREAKRUNE Fakeout (independent alert for fakeout detection regardless of reversal signal)
⚙ Fully configurable — pivot length, flat and trend tolerances, minimum pattern height, freshness window, break threshold, confirmation bars, fakeout decision window, wick rejection minimum, volume filter, dual RSI periods and trigger levels, RSI slope lookback, fakeout reversal enable, cooldown, quality minimum, HTF parameters, chop gate, SL/TP ATR multiples, guide extension, all visual toggles, and all colors are independently adjustable
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⚙ Settings Reference
Pattern Intelligence
Pivot Length — fractal sensitivity for pivot detection (default: 5). Lower = more frequent smaller patterns; higher = fewer, larger structural patterns
Flat Level Tol (xATR) — ATR tolerance for determining whether consecutive pivots are at the same level (default: 0.35). Controls Double Top/Bottom and Range classification sensitivity
Trend Shift Tol (xATR) — ATR tolerance for determining whether consecutive pivots show a directional shift (default: 0.20). Controls Triangle, Wedge, and Channel classification
Min Pattern Height (xATR) — minimum pattern height for the sizeOk condition and quality score (default: 1.1). Raise to filter micro-patterns
Pattern Freshness (bars) — maximum age of the oldest contributing pivot for pattern classification (default: 80). Older pivots are excluded
Breakout Classifier
Break Threshold (xATR) — minimum close extension beyond the pattern boundary to register a raw break (default: 0.12). Lower = more sensitive; higher = requires stronger breaks
True Break Confirmation Bars — consecutive candles that must all close beyond the level for TRUE BREAK classification (default: 2)
Fakeout Decision Window — maximum bars after the raw break within which FAKEOUT or TRUE BREAK must be classified (default: 5). After this window, the pending state expires
Fakeout Wick Rejection Min — minimum wick-to-body ratio required for FAKEOUT classification (default: 0.45). Higher = requires more obvious rejection wicks
Volume Confirm — require volume above average on the signal bar (default: on)
Volume Avg Length / Volume vs Avg — volume baseline parameters (defaults: 20 bars / 1.1×)
RSI Trigger Layer
RSI Fast — the timing RSI period (default: 7)
RSI Core — the confirmation RSI period (default: 14)
Long Trigger — minimum Fast RSI level for a true break long (default: 55). Above 50 is the baseline; raising this requires stronger bull momentum
Short Trigger — maximum Fast RSI level for a true break short (default: 45)
RSI Slope Bars — lookback period for RSI slope calculation (default: 3)
Enable Fakeout Reversal Signals — toggle the trap reversal signal mode (default: on)
Confluence Gate
Signal Cooldown (bars) — minimum bars between consecutive signals (default: 6)
Min Quality Score (of 10) — minimum score to fire a signal (default: 5)
HTF Bias Layer — when on, HTF alignment contributes up to 2 points to the quality score (default: on)
Hard HTF Alignment — when on, counter-HTF signals are fully blocked regardless of score (default: off)
HTF Timeframe / HTF Fast / Slow EMA — higher timeframe parameters (defaults: 60-minute / 21 / 55)
Block Extreme Chop / Choppiness Length / Chop Block Above — chop gate parameters (defaults: on / 14 / 62.0)
Entry / Exit Guides
Show SL + TP1 + TP2 — toggle guide line display (default: off)
ATR Length — ATR calculation lookback (default: 14)
SL (xATR) — stop loss distance in ATR multiples (default: 1.2)
TP1 (xATR) — first take profit distance (default: 1.8)
TP2 (xATR) — second take profit distance (default: 3.0)
Guide Extend (bars) — bars forward the guide lines project (default: 30)
Display
Show Pattern Boundary Lines — toggle the resistance and support boundary lines (default: on)
Show Signals — toggle signal triangle rendering (default: on)
Show Fakeout Marks — toggle the orange × fakeout markers (default: on)
Tint Candles by Active Bias — toggle directional candle tinting (default: on)
Show Dashboard — toggle the full dashboard (default: on)
Dashboard Position — Top Left / Top Right / Bottom Left / Bottom Right
Colors
Bull / Bull Bright — yellow-green family for bullish signals and tinting
Bear / Bear Bright — red family for bearish signals
Pattern Accent — purple for pattern labels, boundary lines, and structural elements
Pending / Fakeout — orange for fakeout marks, CHOP warnings, and VOL LIGHT indicators
Neutral — gray for IDLE class and neutral dashboard states
Stop / TP1 / TP2 — individual guide line colors
Dash BG / Dash Header / Dash Section / Dash Frame / Dash Text — full dashboard color control
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🔔 Alert Conditions (3 total)
BREAKRUNE Long — all three phases confirmed for a long entry: pattern identified, TRUE BREAK or FAKEOUT reversal classified, RSI trigger aligned, quality score met
BREAKRUNE Short — all conditions confirmed for a short entry
BREAKRUNE Fakeout — a fakeout has been classified on the current bar (fakeLongNow or fakeShortNow). This fires independently of whether a reversal signal follows — useful for awareness of failed breaks even when the reversal RSI conditions are not yet met
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🎯 Recommended Settings by Instrument & Timeframe
The default configuration is optimized for XAUUSD, major forex pairs, and crypto on M5–H1 :
Pivot Length at 5 — captures intraday structural swings without excessive micro-sensitivity
Fakeout Window at 5 — on M5 this is 25 minutes, sufficient to observe whether a break holds or fails without waiting too long. On M15, consider reducing to 3
Confirmation Bars at 2 — requires two consecutive closes beyond the level before TRUE BREAK classification. On M1, consider reducing to 1
RSI Long/Short Triggers at 55/45 — the asymmetric thresholds (not 60/40) accept momentum confirmation that is directional but not yet overbought/oversold
For other instruments or timeframes, adjust:
M1–M3 scalping — reduce Pivot Length to 3, reduce Fakeout Window to 3, reduce Confirmation Bars to 1, reduce Cooldown to 3, tighten Break Threshold to 0.08
H4–Daily swing trading — increase Pivot Length to 8–10, increase Pattern Freshness to 150, increase Fakeout Window to 8–10, increase Confirmation Bars to 3, increase TP2 to 5.0× ATR
Crypto (BTC, ETH) — increase Fakeout Wick Rejection to 0.50 for crypto's wider rejection wicks, increase Break Threshold to 0.18, increase Min Quality to 6 for tighter filtering on volatile instruments
Indices (NAS100, US30) — use Hard HTF Alignment (on), set RSI Long Trigger to 57, increase Confirmation Bars to 3 for cleaner index breakouts
Pure true-break mode — disable Enable Fakeout Reversal Signals, raise Min Quality to 6, raise RSI Long Trigger to 58 for higher-conviction momentum-only entries
Fakeout-specialist mode — enable Fakeout Reversal Signals, reduce Fakeout Wick Rejection to 0.38 for more sensitive fakeout detection, lower RSI Slope Bars to 2 for faster RSI crossover detection
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👥 Who This Is For
🔮 Breakout traders who are tired of being faked out — BREAKRUNE is built specifically around the fakeout problem. The three-phase architecture exists for one reason: to separate genuine structural breaks from the stop-hunt reversals that cost breakout traders money consistently
🔀 Traders who want to profit from both real breaks AND fakeouts — the fakeout reversal signal mode transforms the system's most common failure scenario into its own entry opportunity. The crowd that bought the false breakout becomes the fuel for the reversal trade
📊 Pattern-aware traders who want quantified structure — the five-pattern detection engine provides automatic structural context without manual drawing. Every signal tells you which pattern type it came from
📐 Momentum traders who need RSI precision — the dual RSI trigger layer (Fast 7 + Core 14) with slope measurement provides the most precise momentum timing gate in the AlphaX breakout signal suite
🧠 Systematic traders who want state transparency — the PENDING → TRUE BREAK / FAKEOUT classification state machine is fully visible on the dashboard in real time. You always know exactly what phase the system is in and why
🥇 Gold and forex intraday traders — breakout and fakeout patterns are particularly consistent on XAUUSD and major forex pairs during London and New York session transitions. Default settings are calibrated for these instruments
⚠ Traders who struggle with breakout timing — the RSI trigger layer forces every entry to have genuine momentum behind it at the moment of entry, eliminating the common experience of entering a breakout just as momentum exhausts
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📝 Notes
All signals are confirmed on bar close — the indicator is non-repainting by design. Pattern detection, breakout classification, and RSI conditions all finalize on confirmed bars
The pending state machine uses persistent variables (var) — the PENDING, TRUE BREAK, and FAKEOUT states persist across bars until resolved or expired. This is essential for multi-bar classification but means the state machine holds values from previous breakout events. A signal firing clears all pending state variables
Pattern detection is a best-fit classification — the system selects the most matching pattern from the available pivot structure on every bar. When the pivot structure changes (new pivots form), the pattern classification may update. This means the PATTERN row on the dashboard may change between signal events as new structure forms
The Pattern Freshness filter (default: 80 bars) ensures the oldest contributing pivot is recent. On slower timeframes with infrequent pivots, this may cause pattern detection to intermittently show — before new pivots form. Increase the freshness window on higher timeframes
Maximum 80 labels, 120 lines, and 600 bars back are configured. On very active low-timeframe charts, the oldest guide lines may be removed by TradingView's rendering limits
The fakeout mark (orange ×) fires independently of the reversal signal. A fakeout mark can appear without a subsequent reversal signal if the RSI trap conditions (midline cross with slope) are not met — the fakeout is real but the reversal momentum confirmation is absent
The indicator does not track open positions or P&L and does not connect to any broker or account
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who understand that a breakout is not a signal — it is the beginning of an evaluation. The signal comes after the market proves whether the break was real. Indicator
RSI Liquidity Sweep Confluence Engine [PhenLabs]📊 RSI Liquidity Sweep Confluence Engine
Version: PineScript™ v6
📌 Description
The RSI Liquidity Sweep Confluence Engine rebuilds the RSI as dynamic, price-projected support and resistance levels — then waits for liquidity to be swept exactly at those levels before firing a signal. It solves the two biggest problems retail traders face with RSI and liquidity tools: RSI divergence readings that never map to price, and liquidity sweep alerts that fire on every wick with no filter.
By requiring full confluence — an RSI-derived level, a genuine liquidity sweep, and volume confirmation all aligning on the same bar — the engine suppresses noise and only marks the reversals where smart-money delivery actually shifts. Signals do not repaint on closed bars.
This is a fusion indicator. It takes the week’s most popular concept (RSI rebuilt as S/R), PhenLabs’ core specialty (liquidity sweep mapping), and the highest-traction publishing format (confluence-scored, fire-only-on-full-alignment engines) and combines them into one clean, dashboard-backed tool.
🚀 Points of Innovation
RSI pivots mapped directly onto price as live support/resistance levels, not oscillator readings
Liquidity sweep detection gated to fire only when the sweep occurs at an RSI-derived level
Triple-confluence gate: RSI S/R + liquidity sweep + volume confirmation must all align
Adaptive ATR-based tolerance so the confluence zone scales with current volatility
WMA-smoothed S/R lines with a single soft channel fill for a clean, uncluttered chart
No repaint on closed bars — signals confirm on bar close
🔧 Core Components
RSI Core Levels : Confirmed RSI pivots (left/right bars configurable) are recorded with their corresponding price high/low, building a rolling set of dynamic S/R zones projected onto the chart as smoothed lines
Liquidity Sweep Detector : Tracks swing high/low liquidity pools over a lookback window and flags genuine sweeps (wick beyond pool, optional close-back inside for reversal confirmation)
Confluence Gate : Measures the distance between the swept price and the nearest RSI S/R level using ATR-scaled tolerance, then confirms with a volume-vs-SMA check
🔥 Key Features
Triple Confluence Gating : Signals fire only when RSI level, liquidity sweep, and volume all agree — drastically reducing false reversals
RSI-as-Price S/R : Converts oscillator extremes into actionable price levels you can trade against directly
ATR-Adaptive Tolerance : Confluence zone widens in high volatility, tightens in ranges — works across timeframes and instruments without re-tuning
Close-Back Reversal Filter : Optional requirement that price closes back inside the swept pool, filtering stop-runs that continue
Clean Visual Layer : Two smoothed S/R lines, one soft channel fill, subtle state-tinted background and color-coded bars — premium look without chart clutter
Live State Dashboard : Compact on-chart table shows RSI, nearest S/R levels, volume confirm, ATR, and current state at a glance
Dual-Direction Alerts : Separate bullish and bearish alertconditions for automated notification
🎨 Visualization
Smoothed S/R lines : A red resistance line above price and a green support line below, WMA-smoothed so transitions ease instead of snapping
Soft channel fill : A single subtle purple band between support and resistance defining the active RSI value zone
State background tint : Chart background subtly greens on bullish confluence, reds on bearish confluence, gold-tints when a sweep is armed
Color-coded bars : Candle bodies shift green / red / gold based on the live confluence state
Sweep marker + label : A single dashed box marks the exact swept liquidity pool, with a compact BULL / BEAR label at the signal bar
Top-right dashboard : Compact state table with RSI, resistance, support, volume confirm, ATR, and Scanning / Armed / Confluence state
📖 Usage Guidelines
RSI Length — Default: 14 — Range: 2-50 — Controls RSI period used to derive S/R levels; lower = more reactive levels, higher = more structural
RSI Pivot Left / Right — Default: 5 / 5 — Range: 1-20 — Bars used to confirm RSI pivots; higher = fewer but more reliable levels
Active RSI Levels Kept — Default: 4 — Range: 1-10 — Number of most-recent RSI S/R levels kept active on chart
Level Smoothing (WMA) — Default: 3 — Range: 1-10 — WMA length applied to S/R lines for smoother transitions
Sweep Lookback — Default: 20 — Range: 5-100 — Bars defining the swing high/low liquidity pools
Require Close-Back — Default: true — Toggles whether price must close back inside the swept pool to validate a sweep
RSI Level Tolerance (ATR x) — Default: 0.30 — Range: 0.0-2.0 — Distance (in ATR multiples) within which a sweep counts as touching an RSI level; 0.0 disables RSI confluence
Volume Multiplier — Default: 1.20 — Range: 0.0-5.0 — Volume must exceed this multiple of its SMA to confirm; 0.0 disables volume confluence
ATR Length — Default: 14 — Range: 1-100 — ATR period used to scale the confluence tolerance
✅ Best Use Cases
Intraday and swing reversal trading on indices, FX majors, and high-liquidity crypto
Smart-money / ICT traders who want a filtered sweep signal instead of raw sweep noise
Traders who already use RSI but want it mapped to price as tradable S/R
Multi-timeframe confluence stacking — run on higher TF for bias, lower TF for entries
⚠️ Limitations
Like all pivot-based tools, signals are confirmed pivotRight bars after the pivot forms; expect a small structural lag on the S/R levels themselves
Confluence gating reduces signal frequency by design — fewer but higher-quality signals, not a continuous signal generator
Volume conformance requires sufficient volume data; on symbols with no volume feed, set Volume Multiplier to 0.0
Best on instruments with genuine liquidity pools and clean swings; choppy low-range sessions produce fewer qualified setups
💡 What Makes This Unique
RSI-as-S/R fused with liquidity sweeps : No top community script currently combines RSI-derived price levels with sweep detection — this fills that white space
Fire-only-on-full-confluence design : Uses the highest-viral-ratio publishing format (confluence-scored engines) applied to PhenLabs’ core liquidity specialty
🔬 How It Works
RSI S/R construction : The engine computes RSI, detects confirmed pivots via left/right lookbacks, and records the price high (resistance) or low (support) at each RSI pivot bar. The most recent levels are kept in a rolling buffer, WMA-smoothed, and projected as clean lines on the chart with a soft channel fill between them.
Liquidity pool tracking : Swing highs and lows over the configured lookback define resting liquidity pools. A sweep is registered when price wicks beyond a pool — and optionally closes back inside it, confirming a reversal rather than a continuation stop-run.
Triple confluence gating : The engine checks that the sweep occurred within an ATR-scaled tolerance of the nearest RSI S/R level, and that volume exceeded its moving average by the configured multiple. Only when all three gates align does a bullish or bearish signal marker fire, with a dashed box marking the exact swept pool and a BULL / BEAR label at the signal bar.
💡 Note:
Best results come from pairing the engine with your own market-structure read and using it as a high-probability entry filter rather than a standalone signal. Tune RSI Length and Tolerance to your timeframe — shorter for scalping, longer for swing. This tool is an analytical aid to support your own judgment and is not financial advice.
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Stochastic + RSI in oneStochastic + RSI Confluence Signal is a combined momentum oscillator that integrates the Stochastic Oscillator and Relative Strength Index (RSI) into one panel.
The indicator is designed to help traders identify potential exhaustion zones and moments when both momentum tools indicate similar market conditions.
Logic:
• Stochastic measures the position of the current closing price relative to the recent high-low range.
• RSI measures the strength and speed of price movements.
The default settings are based on the traditional parameters:
• Stochastic: K Period 5, D Period 3, Slowing 3
• RSI: Period 14
Potential bearish conditions:
• Stochastic reversal from an overbought area
• RSI above the overbought level
Potential bullish conditions:
• Stochastic reversal from an oversold area
• RSI below the oversold level
This indicator is intended as a confirmation tool and should not be used as a standalone trading system. Market context, trend direction, price action, and risk management should always be considered.
Users can adjust all parameters according to their trading style, timeframe, and market conditions.
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Stochastic + RSI Confluence Signal to połączony oscylator momentum, który integruje Oscylator Stochastic oraz Relative Strength Index (RSI) w jednym panelu.
Wskaźnik został zaprojektowany, aby pomagać traderom identyfikować potencjalne strefy wyczerpania ruchu oraz momenty, w których oba narzędzia momentum wskazują podobne warunki rynkowe.
Logika działania:
• Stochastic mierzy położenie aktualnego zamknięcia ceny względem ostatniego zakresu pomiędzy najwyższym High i najniższym Low.
• RSI mierzy siłę oraz dynamikę ruchów cenowych.
Domyślne ustawienia wykorzystują klasyczne parametry:
• Stochastic: K Period 5, D Period 3, Slowing 3
• RSI: Period 14
Potencjalne warunki spadkowe:
• Odwrócenie Stochastic ze strefy wykupienia
• RSI powyżej poziomu wykupienia
Potencjalne warunki wzrostowe:
• Odwrócenie Stochastic ze strefy wyprzedania
• RSI poniżej poziomu wyprzedania
Wskaźnik jest przeznaczony jako narzędzie potwierdzające i nie powinien być używany jako samodzielny system transakcyjny. Należy zawsze uwzględniać kontekst rynku, kierunek trendu, zachowanie ceny oraz zarządzanie ryzykiem.
Użytkownik może dostosować wszystkie parametry do własnego stylu handlu, interwału czasowego oraz warunków rynkowych. Indicator
RSI Core Levels Heatmap [BigBeluga]🔵 OVERVIEW
The RSI Core Levels Heatmap turns the standard Relative Strength Index (RSI) indicator into powerful support and resistance lines drawn directly on your main price chart. Instead of forcing you to constantly look down at a separate oscillator window, this script automatically finds hidden momentum levels and projects them right where you trade, helping you spot key reversal floors and ceilings instantly.
🔵 FEATURES
The system uses a smart layout tracking engine to map momentum without cluttering your screen:
1 — Momentum-Mapped Support & Resistance Lines
Signal Line Crossover Alerts: The indicator tracks momentum changes using a smooth Signal Line Length . When the raw RSI line crosses above or below this signal line, it triggers a setup.
Smart Price Capture: The moment a crossover happens, the engine looks back at the last 10 candles. If it is a bullish bounce, it finds the low price; if it is a bearish drop, it grabs the high price.
Direct Chart Overlay: It takes those key prices and draws clean support or resistance lines right on your main chart with clear labels.
2 — No-Clutter Overlap Protection Logic
Collision Checker: To stop your chart from looking like a messy spiderweb, the indicator checks if a new line is being drawn too close to an old one.
Duplicate Blocking: If a new level lands directly on top of an existing active zone, the script blocks it automatically to keep your trading area perfectly clean.
// Strict Collision Box Overlap Detection Matrix
is_overlapping_existing_block(high_val, low_val) =>
overlap = false
if array.size(activeBlocks) > 0
for i = 0 to array.size(activeBlocks) - 1
BlockLevel item = array.get(activeBlocks, i)
if (high_val <= item.topPrice and high_val >= item.botPrice) or (low_val >= item.botPrice and low_val <= item.topPrice) or (high_val >= item.topPrice and low_val <= item.botPrice)
overlap := true
break
overlap
3 — Active Line Lifecycle & FIFO System
Automatic Extension: All active, unbroken support and resistance lines automatically stretch forward on every new candle so they stay fresh.
Broken Line Changes: When price actions breaks through a line, the script instantly changes its style to a thin, grey dashed line and stops tracking it. This shows you exactly where historical levels failed.
Levels Heat Color: Each support and resistance level color intense is based on the rsi value at the moment level was created.
FIFO (First-In, First-Out) Lag Protection: To keep your TradingView running fast without any lag, you can set a Max Active Levels & Labels limit. When you reach this cap, the oldest lines drop off the chart first (First-In, First-Out) to make room for new ones.
// Object Array State Lifecycle Management Snippet
if array.size(activeBlocks) > 0
for i = array.size(activeBlocks) - 1 to 0
BlockLevel item = array.get(activeBlocks, i)
bool broken = item.isBull ? (close < item.botPrice) : (close > item.topPrice)
if broken
label.delete(item.lvlLabel)
line.set_style(item.lvlLine, line.style_dashed)
line.set_color(item.lvlLine, color.gray)
line.set_width(item.lvlLine, 1)
array.remove(activeBlocks, i)
else
line.set_x2(item.lvlLine, bar_index)
label.set_x(item.lvlLabel, bar_index)
4 — Gradient Heatmap Ribbon & Proximity Dashboard
Color-Changing Ribbon blocks: The bottom sub-pane features a smooth gradient ribbon that tracks market extremes. It lights up bright green during deep oversold conditions, bright red when overbought, and turns yellow during tight consolidations ( Show Midline Squeeze Zone ).
Distance Telemetry HUD Table: A clean on-screen table calculates exactly how close the current price is to your nearest active support or resistance level in points and exact percentages.
🔵 HOW TO USE
Using this simple multi-layer blueprint helps you manage setups step-by-step:
Trading Reversals and Bounces: Watch the chart when price falls down toward a green support line. If the Dashboard Table shows the distance getting very close to 0% and the bottom ribbon is flashing deep green (oversold), look for a long bounce trade off the level.
Managing Risk and Trailing Stops: If you enter long at a support line, use that level as your risk floor. If price flushes below it, the indicator will instantly turn the line grey and dashed, letting you know the setup is invalid and it is time to cut the trade.
Spotting Squeeze Breakouts: When the bottom ribbon stays yellow, it means the market is squeezing sideways. Watch your distance dashboard closely; when price breaks out of the squeeze and flies toward your outer lines, you can ride the explosive momentum expansion.
🔵 NOTES
Why this implementation is unique:
It saves screen space by turning abstract momentum data from an oscillator below into highly accurate, tradeable price targets up on your main chart.
The overlap blocker prevents multiple lines from bunching together, keeping your chart clean and easy to read.
The automated FIFO memory cleaning system makes sure the script stays fast and lightweight, no matter how many bars are loaded on your chart.
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