MFI Overbought/Oversold DotsIndicator plots red/green dots above candles when MFI is oversold and overbought
Indicator
Oscillators
Elaris Volume Intelligence ProElaris Volume Intelligence Pro is a professional-grade volume analysis and smart money intelligence indicator designed to help traders understand market participation, hidden pressure, and potential reversal activity in real time.
Instead of displaying raw volume alone, Elaris Volume Intelligence Pro transforms market volume into actionable intelligence by combining relative volume analysis, volume delta estimation, CVD (Cumulative Volume Delta), absorption detection, climax activity, and smart flow momentum into a single clean and trader-friendly system.
The indicator is built for discretionary traders, scalpers, intraday traders, swing traders, and crypto traders who want deeper insight into market behavior beyond standard candles.
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FEATURES
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• Smart Volume Columns
Dynamically colored volume bars help identify bullish pressure, bearish pressure, climax activity, and absorption zones instantly.
• Relative Volume & Z-Score Engine
Detects abnormal market participation using relative volume and statistical volume expansion analysis.
• Volume Flow Momentum
A smoothed institutional-style flow model that helps traders identify whether aggressive buying or selling pressure is dominating the market.
• Bullish & Bearish Climax Detection
Highlights potential exhaustion candles during extreme participation and volatility conditions.
• Demand & Supply Absorption Detection
Detects high-volume compression behavior that may indicate hidden accumulation or distribution by larger participants.
• Volume & CVD Divergence Signals
Identifies possible reversal conditions when price action and cumulative volume behavior diverge.
• Smart Market State Dashboard
A clean built-in intelligence panel provides:
* Market bias
* Smart score
* Relative volume strength
* Volume Z-score
* Delta pressure
* Active signal state
• Dark Mode Optimized UI
Professionally designed visuals optimized for both dark and light PulseWire themes.
• Fully Configurable
All thresholds, smoothing values, divergence sensitivity, and visual layers can be customized for different trading styles and markets.
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HOW TO USE
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• Strong Bullish Conditions
Look for:
* Bullish volume climax
* Positive flow momentum
* Increasing relative volume
* Bullish divergences
* Demand absorption
• Strong Bearish Conditions
Look for:
* Bearish climax candles
* Negative flow momentum
* High sell-side pressure
* Bearish divergences
* Supply absorption
• Best Use Cases
* Crypto futures trading
* Intraday momentum trading
* Breakout confirmation
* Reversal detection
* Smart money analysis
* Volume-based confluence systems
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ALERTS INCLUDED
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The indicator includes built-in alerts for:
* Bullish/Bearish Volume Climax
* Demand/Supply Absorption
* Bullish/Bearish Divergence
* Bullish/Bearish Pressure States
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IMPORTANT NOTES
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• This indicator does not use repainting logic.
• Signals are generated using confirmed candle data.
• Works best on liquid markets with reliable volume data.
• Designed for confirmation and confluence, not standalone financial advice.
Built by Elaris Group.
Financial intelligence for modern markets.
Indicator
SmartEdge RS [Entry & Exit]🇩🇪 Deutsch:
SmartEdge RS kombiniert Relative Stärke, Moving Averages (EMA 21/50), RSI und Volumen-Filter zu einem vollständigen Entry- & Exit-System. Grüne KAUF-Labels markieren günstige Einstiege, rote EXIT-Labels signalisieren den optimalen Ausstieg. Das integrierte Dashboard zeigt alle Metriken live auf einen Blick.
🇬🇧 English:
SmartEdge RS combines Relative Strength, Moving Averages (EMA 21/50), RSI and a Volume Filter into a complete entry & exit system. Green BUY labels mark favorable entries, red EXIT labels signal the optimal exit point. The built-in dashboard displays all metrics live at a glance.
Indicator
Adaptive Modern RSI [GBB]Adaptive Modern RSI
A self-tuning RSI. Instead of you picking a period and overbought/oversold levels and hoping you got it right, the indicator figures out the best settings from recent price action and adjusts as the market changes.
It tests 60 different parameter combinations on every bar (5 RSI periods, 3 smoother strengths, 4 threshold pairs), measures how each one would have performed over the last 300 bars, and uses whichever combination scored best. When the market shifts, the parameters shift with it.
The thinking behind it: Wilder published the RSI in 1978. The "14 period, 70/30 levels" defaults were chosen for stock markets that traded a few hours a day. Crypto, 24/7 markets, and modern volatility didn't exist yet.
What you see on the chart
The aqua line is the active RSI — whichever period and smoother the optimizer currently picked.
The red and green horizontal lines are the adaptive overbought and oversold levels. They step when the optimizer changes its mind about what counts as "extreme" for this asset right now.
Red triangles fire when the RSI rolls over from overbought. Green triangles fire when it enters oversold. Both fire on bar close and never repaint.
The label at the top tells you what kind of market the recent past has been. Five possible regimes:
Mean-reverting chop — Fast reversals at extremes. RSI triggers are most reliable here.
Quiet range — Mild swings, modest signal. Use as light confluence only.
Trending — Mean reversion is dangerous here. Use the RSI for pullback entries in the trend direction, not for fading.
Noisy transition — The indicator can't find a stable read. Step back, wait for clarity.
Adapting — Warming up on a fresh chart. Give it the lookback period worth of bars.
Next to the regime name you'll see "held N bars." That tells you how long the current regime read has been stable. A regime held for 200+ bars is a confident read. A regime that just flipped (held 5 bars) is fresh and should be weighted lightly.
How to use it per regime
Mean-reverting chop :This is the regime RSI was designed for. Use the triggers actively, with normal confluence requirements (price at a level, HTF context, etc.). Tight stops, normal targets.
Quiet range: Triggers work but the moves are small. Better for intraday scalp confluence than positional setups. Don't size up on triggers alone.
Trending : Invert the classic logic. Green triangles in an uptrend are pullback buys, not counter-trend opportunities. Red triangles in a downtrend are bounce shorts. Never fade triggers against the trend in this regime — that's how RSI users blow up accounts.
Noisy transition : Sit on your hands. The indicator is telling you it can't find a signal. This is rare but valuable information — most indicators don't admit when they don't know.
Adapting : Wait. On 1H with default 300-bar lookback, this takes about 12-13 days of data.
What it works on
Designed for crypto, but the logic is asset-agnostic. The optimizer figures out the right parameters from whatever data you give it. Tested on:
- Crypto (BTC, ETH, majors) on 5M through 1D
- Forex majors on 15M through 4H
- Indices (NDX, SPX, DAX) on 1H through 1D
- Gold on 1H through 1D
On lower timeframes (5M, 15M), consider raising the optimization lookback from 300 to 500-700 bars. On higher timeframes (4H, 1D), you can lower it to 100-200. The default 300 is tuned for 1H. The tooltip on the input has more detail.
Everything else (forward-return horizon, switch margin, regime hysteresis) can stay at defaults across all assets and timeframes for a first pass.
What it is not
A complete trading system. This is one RSI layer. It tells you something about momentum and mean-reversion potential. It does not tell you about trend, volume, market structure, key levels, or risk management. If you trade off this alone, you will lose money.
A leading indicator. Triggers fire on bar close, after the crossover happens. There is no lag in the sense of waiting for confirmation bars, but there is also no prediction. The indicator is reactive to closed-bar price action, not forecasting future bars.
A backtest-proof strategy. The parameter optimization is backward-looking. It tunes to what worked recently. At regime transitions (chop becoming trend, trend becoming crash), the indicator will lag because its lookback window is still anchored to the old regime. The regime label and the "held N bars" counter give you the information to know when to trust it more or less.
Settings
Optimization lookback (default 300) : How many bars the optimizer searches over. Shorter adapts faster but jitters more. Longer is stabler but slower to catch genuine regime shifts.
Forward-return evaluation horizon (default 5) : How many bars forward the optimizer measures trigger payoffs. 5 is a reasonable mean-reversion timescale. Bump to 8-10 for forex if you want to.
Switch margin (default 10%) : New parameter winners need to beat the current ones by this much to take over. Higher means stickier parameters.
Minimum triggers required (default 5) : Candidates firing fewer than this many times in the lookback are disqualified. Prevents noisy low-sample-size winners.
Regime label hysteresis (default 10): Bars the new regime classification must hold before the displayed label updates. Higher means more stable label, slower to react to genuine shifts.
Regime label size : Tiny to huge. Pick whatever fits your screen.
Final note
This indicator does not replace thinking. It does not replace risk management. It does not replace knowing the asset you're trading. It gives you a better RSI than 1978's defaults. The rest is on you.
Made by The Good, the Bad and the Bitcoin (GBB)
Quantitative trading research with no shilling, no paywall, and no hype.
Indicator
MTF Kinetic Oscillator | Rainbow MatrixGENERAL OVERVIEW
The MTF Kinetic Oscillator is a multi-timeframe order-flow probability oscillator that fuses 5 timeframes into a single composite score, blended with three independent order-flow sensors (CVD, Volume Climax, Squeeze) and plotted against a self-adaptive Fibonacci channel that recalibrates to current volatility conditions. Instead of treating an oscillator as a fixed 0-100 envelope where the same threshold means the same thing across all market regimes, the indicator continuously classifies the current score against an adaptive channel — and colors the chart accordingly.
The main goal of this indicator is to give traders a clean, automatic read on where the order-flow consensus sits across 5 timeframes simultaneously, and how stretched that consensus is relative to its own recent statistical range — without having to manually monitor multiple oscillators on multiple timeframes. Every value the oscillator displays is the result of a weighted aggregation of 5 timeframe scores, modulated by order-flow sensors, and contextualized against an adaptive channel.
It plots a single score line that travels through five color zones (yellow, orange, red, purple for upper extremes; green, teal, blue, aqua for lower extremes), each corresponding to a probabilistic regime. Combined with the Info Panel HUD, Vacuum Trail convergence lines, and Black Swan dynamic glow, the indicator gives a complete read on order-flow direction, statistical position, and proximity to exhaustion zones — all from a single oscillator pane.
This indicator was developed for traders who already understand oscillator-based indicators (RSI, MFI, Stochastic, CCI) and want a multi-timeframe aggregation that calibrates its thresholds to current volatility instead of using fixed 0-100 boundaries.
WHAT IS THE THEORY BEHIND THIS INDICATOR?
Most oscillators on PulseWire — RSI, MFI, CCI, Stochastic, and their derivatives — share two common architectural choices: they operate on a single timeframe, and they classify against fixed thresholds (typically 70/30 or 80/20). This treats every market regime as statistically equivalent.
The problem: market regimes are not equivalent. A score of 75 during a tight-range, low-volatility period is structurally different from a score of 75 during a volatile expansion phase. Fixed thresholds applied to a non-stationary distribution produce systematic mismatches — overbought readings that resolve into further upside, oversold readings that continue lower, signals that appear at the wrong moments precisely when volatility shifts regimes. This mismatch becomes most visible during transitions between volatility regimes: trend climaxes, capitulation lows, squeeze breakouts.
This indicator addresses both issues at once. First, the per-timeframe score is built from a Log-Normal Z-Score regression of price (which respects the asymmetric distribution of returns) blended with RSI through a sigmoid normalization. Second, the 5 per-timeframe scores are aggregated through Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15) into a single global score — giving the most weight to the middle macro horizons rather than the shortest or longest timeframes. Third, the global score is plotted not against fixed 0-100 thresholds, but against a self-adaptive channel whose boundaries are re-computed every bar from the highest and lowest scores in the lookback window, smoothed by EMA, and proportioned by Fibonacci ratios (1.50/1.85, 1.85/1.85, 2.75/1.85, 3.85/1.85).
The three order-flow sensors — CVD Z-Score, Volume Climax, and Squeeze — operate as modulators of the base score: the CVD bonus amplifies the score when directional order pressure dominates (clamped at ±12 points), Volume Climax drag dampens the score when abnormal volume is detected (statistical exhaustion signal), and the Squeeze damper compresses score amplitude to 25% during compressed-volatility regimes (suppressing false signals during low-conviction lateral phases).
Why traders use it: each color zone on the chart represents a different probabilistic regime, calibrated to current volatility. When the score sits between the median and the inner band (yellow/green), the order-flow consensus is in normal operating range — equilibrium. When the score crosses into the second band (orange/teal), the move has crossed into directional territory. The third band (red/blue) marks the threshold beyond which most of the impulse has already happened — exhaustion. The fourth band (purple/aqua) marks the tail of the distribution — a Black Swan event in Taleb's sense — where score positions rarely persist under normal volatility conditions.
The three order-flow sensors and the adaptive Fibonacci channel are not independent layers stacked in the same pane. They map three different aspects of the same question: where the multi-timeframe order-flow consensus currently sits (the score), how that consensus is being modulated by live order-flow pressure (the sensors), and how stretched that modulated value is relative to its own recent statistical range (the channel). The integration of all three components into a single oscillator is the reason they exist in one script rather than as three separate indicators: the cross-component blending is what surfaces multi-sensor confluence that separate-script approaches cannot produce.
MTF KINETIC OSCILLATOR FEATURES
The indicator includes 6 main features:
Multi-Timeframe Score Engine
CVD Order-Flow Sensor
Volume Climax and Squeeze Sensors
Adaptive Fibonacci Channel
Vacuum Trail and Black Swan Dynamic Glow
Info Panel HUD and Alerts
Multilingual interface and full customization across all visual layers.
MULTI-TIMEFRAME SCORE ENGINE
🔹 What It Does
The core of the indicator. For each of the 5 configured radar timeframes, the engine performs three operations:
◇ Calculates a Log-Normal Z-Score regression of price (hlc3 transformed via natural logarithm, fitted with linear regression, residuals normalized by their own standard deviation).
◇ Computes a per-timeframe RSI at a Fibonacci-aligned length (8, 13, 21, 34, 55 — one per timeframe).
◇ Blends the Z-Score (via sigmoid normalization) and the RSI into a single per-timeframe score, bounded 0-100.
The 5 per-timeframe scores are then aggregated through Fibonacci weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15) into a single global score representing the multi-horizon order-flow consensus.
🔹 Method
The regression runs in log space, addressing the asymmetric nature of price distribution that linear estimators (such as the Simple Moving Average) fail to account for. The directional reference (high vs low) is selected per bar based on candle direction — green candles use the high (upward pressure reference), red candles use the low (downward pressure reference). This produces a Z-Score that reflects the directional intent of each bar rather than the midpoint average.
The sigmoid normalization compresses Z-Scores into a bounded 0-100 range without losing the asymmetric information of extreme values. The RSI component anchors the score to a familiar momentum reference, blending two independent signal families into one bounded value per timeframe.
🔹 Hierarchical Weighting
The five timeframes are weighted by structural significance using Fibonacci proportions:
◇ TF1 (Trigger, default 5): weight 15% — fastest reactivity, lowest weight.
◇ TF2 (Intraday, default 13): weight 20% — session-scale resolution.
◇ TF3 (Macro 1, default 55): weight 25% — backbone of the score.
◇ TF4 (Macro 2, default 233): weight 25% — institutional reference horizon.
◇ TF5 (Base, default 987): weight 15% — macro trend anchor.
The middle horizons (TF3 and TF4) carry the highest weight because they typically represent the most structurally significant reference for institutional decision-making — short enough to react to current conditions, long enough to filter intraday noise.
CVD ORDER-FLOW SENSOR
🔹 What It Does
The CVD (Cumulative Volume Delta) sensor estimates the difference between buyer and seller volume per bar — measuring market-order aggression. The signed delta is normalized to a Z-Score against a 50-period rolling reference, and the resulting bonus is clamped at ±12 points before being added to the global score.
🔹 Method
For each bar, total volume is split between buyer share (proportional to `close - low / range`) and seller share (proportional to `high - close / range`). The signed delta is the difference. A 50-period mean and standard deviation define the reference; the current delta is expressed as a Z-Score against that reference, then multiplied by 4 and clamped to ±12 to control its contribution to the final score.
🔹 Why It Matters
The Z-Score component answers "where is the multi-timeframe consensus", and the RSI component answers "what is the momentum". The CVD sensor answers a separate question: "who is currently aggressive in the order book". When the multi-timeframe consensus is bullish and CVD aggression confirms it, the bonus amplifies the score. When the consensus is bullish but CVD shows seller aggression, the bonus subtracts from the score — surfacing a divergence between consensus and order-flow.
VOLUME CLIMAX AND SQUEEZE SENSORS
🔹 Volume Climax
A standalone sensor that detects abnormal volume conditions (volume Z-Score above 3.0). When triggered, a climax drag is applied to the score, signaling potential exhaustion. The HUD reports this state explicitly in the Status row.
🔹 Squeeze
A volatility-compression detector based on the percentage-rank of the current range against a 20-period lookback. When the range compresses to its 15th percentile or lower, the squeeze flag activates and the score amplitude is dampened to 25% of its normal range — preventing false directional signals during compressed-volatility regimes.
🔹 Why They Matter
These sensors operate on a different axis from the price-direction sensors. Volume Climax surfaces statistical exhaustion before it becomes visible in price; Squeeze suppresses noise during periods when the oscillator would otherwise produce false reads. Together they make the oscillator behave correctly during regime transitions, where standard oscillators are typically least reliable.
ADAPTIVE FIBONACCI CHANNEL
🔹 What It Does
The global score is plotted against a self-adaptive channel rather than against fixed 0-100 thresholds. The channel boundaries are re-computed every bar from the highest and lowest scores in a 50-bar lookback window, smoothed by 10-period EMA, and then proportioned through Fibonacci ratios into four zones:
◇ Z-Breathing (inner, yellow/green) — ratio 1.50 / 1.85 (≈ 0.811)
◇ Z-Alert (upper limit, orange/teal) — ratio 1.85 / 1.85 = 1.000 (the visible anchor)
◇ Z-Exhaustion (outer, red/blue) — ratio 2.75 / 1.85 (≈ 1.486)
◇ Black Swan (extreme edge, purple/aqua) — ratio 3.85 / 1.85 (≈ 2.081)
🔹 Why It Adapts
Fixed thresholds (70/30 or 80/20) treat every volatility regime as equivalent. The adaptive channel calibrates the rainbow visual to the actual statistical envelope of the current regime — overbought during a low-volatility consolidation does not mean the same as overbought during a volatility expansion, and the channel reflects that.
🔹 Visual Rendering
The space between adjacent channel boundaries is filled with a semi-transparent color matching the zone palette (toggleable via "Show Thermal Zone Fills"). This makes the current zone immediately visible without having to read the score number — the visual position alone tells you the regime.
VACUUM TRAIL AND BLACK SWAN DYNAMIC GLOW
🔹 Vacuum Trail
Ghost convergence lines projecting from exhaustion extremes back toward the channel median. The lines anchor at a level 15% inside the inner Breathing zone (not at the channel boundary itself), which produces visual convergence inward rather than along the edge — useful for anticipating the typical mean-reversion path after extreme touches.
🔹 Black Swan Dynamic Glow
The outermost ±3.85σ-equivalent boundaries are rendered as a main line plus a wide outer glow whose intensity scales with the score's distance from the boundary. The glow becomes bright when the score is near the Black Swan zone and fades when far — drawing visual attention only when the statistical tail is approached.
🔹 Why They Matter
Both elements give the oscillator a sense of direction beyond the score's current position: the Vacuum Trail visualizes the expected return path during exhaustion; the Black Swan Glow makes statistical tail events visible at a glance, before the score itself crosses the boundary.
INFO PANEL HUD AND ALERTS
🔹 What the HUD Shows
A compact corner panel reports six live values:
◇ SCORE — the current global score (0-100) with color matching the active channel zone
◇ PROB. — the absolute probability (distance from neutral 50 expressed as percentage)
◇ DIRECTION — BUY / SELL / NEUTRAL based on score position relative to the median
◇ CHANNEL — current channel regime classification (Uptrend / Downtrend / Sideways / Compression / Expansion)
◇ RHYTHM — score velocity classification (Fast / Slow)
◇ STATUS — Black Swan / Squeeze / Climax / Neutral, prioritized by severity
🔹 Customization
The HUD can be positioned in any of the four chart corners and rendered in any of five font sizes. The display language is controlled by the System Language input.
🔹 Alerts
Three alert types are available:
◇ Exhaustion Alert — fires when the score crosses above 85% (buying exhaustion) or below 15% (selling exhaustion).
◇ Squeeze Alert — fires when the squeeze flag activates (volatility compression detected).
◇ Black Swan Alert — fires when the score enters the ±3.85σ-equivalent extreme zone; uses an edge-trigger arm/disarm mechanism (fires once on entry, locks while inside, re-arms only on exit).
All alerts are gated by `barstate.isconfirmed` and use `alert.freq_once_per_bar` to prevent duplicate firings on the same candle. Five `alertcondition` blocks are also exposed for users who prefer the PulseWire alert UI.
MULTILINGUAL INTERFACE
The indicator supports five languages for the HUD display and alert messages: English (default), Português, Español, Русский, and 中文 (Chinese). Code, comments, group names and input labels remain in English regardless of the selected language.
For reference, the English text of all multilingual UI strings used in the HUD and alerts:
◇ BUY / SELL / NEUTRAL — direction states
◇ SQUEEZE — Low Volatility. Await the Explosion.
◇ CLIMAX — Abnormal Volume Detected. Possible Exhaustion.
◇ UPTREND / DOWNTREND / SIDEWAYS / COMPRESSION / EXPANSION — channel states
◇ FAST / SLOW — rhythm states
◇ SCORE: / DIRECTION: / CHANNEL: / RHYTHM:
◇ BLACK SWAN — EXTREME HIGH / BLACK SWAN — EXTREME LOW
◇ Buying Exhaustion Alert: " Buying Exhaustion: Score above 85%. High reversal probability."
◇ Selling Exhaustion Alert: " Selling Exhaustion: Score below 15%. High reversal probability."
◇ Squeeze Alert: " Squeeze Active: Volatility maximally compressed. Explosion imminent."
◇ Black Swan Alert: " Score reached the dynamic channel's extreme zone. Maximum statistical tension. Reversal probable."
HOW TO USE
This indicator is not a signal generator. It is a state classifier: it tells you where the multi-timeframe order-flow consensus currently sits, how stretched that consensus is relative to its own recent statistical range, and which order-flow regime (climax, squeeze, normal) is currently active.
🔹 Reading the Oscillator
◇ The score line color matches the active channel zone — visual position alone identifies the regime.
◇ The HUD reports the score numerically and classifies the channel/rhythm/status in plain language.
◇ Vacuum Trail lines indicate the expected mean-reversion path during exhaustion conditions.
◇ Black Swan glow intensity scales with proximity to the statistical extreme.
🔹 Tactical Reading
◇ Score between dyn_mid and inner band: equilibrium zone. Order-flow consensus is in normal range.
◇ Score crossing into the Alert band: directional move asserting itself across multiple timeframes.
◇ Score at the Exhaustion band: most of the impulse has already happened — continuation in trend direction becomes structurally less favorable.
◇ Score touching the Black Swan band: statistical tail event. Mean-reversion context is elevated, but regime change is also possible — the boundary itself is adaptive, so a sustained breach indicates the volatility envelope expanding.
◇ Squeeze state active: oscillator is operating in low-conviction mode. Wait for squeeze release before trusting directional reads.
◇ Climax state active: abnormal volume has been detected. Exhaustion context is present regardless of score position.
🔹 Multi-Timeframe Reading
◇ The default radar configuration (5/13/55/233/987) follows Fibonacci minute periods and is calibrated for intraday and swing trading.
◇ For scalping, configure shorter timeframes (e.g., 1/3/8/21/55).
◇ For position trading, configure longer timeframes (e.g., 60/240/D/W/M).
◇ The middle-weighted timeframes (TF3 and TF4) carry the most influence — choose them carefully.
INPUTS EXPLAINED
🔹 System Language
Display language for the HUD and alert messages. Options: English (default), Português, Español, Русский, 中文 (Chinese).
🔹 MTF Synchronization (TF1 to TF5)
Configure each of the five timeframes to aggregate. Defaults: 5, 13, 55, 233, 987 (Fibonacci minutes). Weights are fixed at 15/20/25/25/15 percent respectively.
🔹 Show Thermal Zone Fills
Toggle for the semi-transparent rainbow fills between adjacent channel boundaries.
🔹 Show Vacuum Trail (Ghost Lines)
Toggle for the convergence ghost lines from exhaustion extremes back toward the channel median.
🔹 Show Dynamic Median Line
Toggle for the channel midline (dyn_mid) — the adaptive zero-reference of the oscillator.
🔹 Show Black Swan Lines (Dynamic Glow)
Toggle for the outermost ±3.85σ-equivalent boundaries with proximity glow.
🔹 Show Info Panel
Toggle for the corner HUD reporting score, direction, channel, rhythm, and status.
🔹 Panel Position
Position of the HUD on the chart. Four corners available: Bottom Right (default), Bottom Left, Top Right, Top Left.
🔹 Font Size
HUD font size. Options: Tiny (default), Small, Normal, Large, Huge.
🔹 Exhaustion Alert
Toggle for the alert that fires when the score crosses ±85/15 thresholds.
🔹 Squeeze Alert
Toggle for the alert that fires when the squeeze flag activates.
🔹 Black Swan Alert
Toggle for the alert that fires when the score enters the adaptive extreme zone.
IMPORTANT NOTES
The MTF Kinetic Oscillator works on any timeframe. The default MTF configuration (5/13/55/233/987 in minutes) is calibrated for intraday and swing trading on liquid instruments. The Fibonacci-aligned RSI lengths (8/13/21/34/55) and per-timeframe data lengths (288/96/72/60/40) are tuned to provide roughly equivalent statistical resolution across all five horizons.
The indicator works best on instruments with reliable volume data: crypto perpetual contracts, large-cap equities, futures, major forex pairs. On low-volume instruments, the CVD component becomes less reliable, though the score engine and channel continue to function correctly using the Z-Score and RSI components alone.
Alerts fire once per confirmed bar. The Black Swan alert uses an edge-trigger arm/disarm mechanism that prevents repeated firings while the score remains inside the extreme zone. Historical bars never repaint after they close. The live bar updates intra-bar as expected for a real-time indicator.
The Value Area calibration factor (vp_k = 2.51) used internally by the score engine for the Volume Profile distance component is tuned to approximate the conventional 70% Value Area definition. The Fibonacci sigma multipliers (1.50, 1.85, 2.75, 3.85) used by the adaptive channel are intentionally non-standard — they are Fibonacci-inspired proportions, not arbitrary choices, and they map to four behavioral regimes derived from observation rather than to integer statistical thresholds.
Pine Script v6. Open-source under Mozilla Public License 2.0.
UNIQUENESS
The MTF Kinetic Oscillator is unique in four ways. First, it operates across 5 timeframes simultaneously, aggregating per-timeframe scores via Fibonacci-proportioned weights (0.15 / 0.20 / 0.25 / 0.25 / 0.15) rather than operating on a single timeframe like RSI, MFI, CCI, or Stochastic. Second, the per-timeframe score is built from a Log-Normal Z-Score regression of price (which respects the asymmetric distribution of returns) blended with RSI through sigmoid normalization — producing a bounded composite that combines two independent signal families per horizon. Third, the global score is plotted not against fixed 0-100 thresholds but against a self-adaptive Fibonacci channel whose boundaries are recomputed every bar from the highest and lowest scores in the lookback window — calibrating the rainbow visual to current volatility regime rather than to static numerical levels. Fourth, three independent order-flow sensors (CVD Z-Score, Volume Climax detection, and Squeeze volatility compression) modulate the score continuously, with the Squeeze damper compressing score amplitude to 25% during low-conviction lateral phases — suppressing false directional signals at exactly the moments standard oscillators are typically least reliable. The combination of Fibonacci-weighted multi-timeframe aggregation, log-space Z-Score plus RSI per timeframe, adaptive Fibonacci channel, and three order-flow modulators produces an oscillator that behaves differently from single-timeframe and fixed-threshold oscillators, particularly during volatility regime transitions where standard oscillators are least reliable.
Indicator
USDT Market Cap Stochastic RSI | Astral Vision USDT Market Cap Stochastic RSI | Astral Vision 🌠💠
Inspired by @GeoMetric_9 idea.
This indicator applies a Stochastic RSI to the market capitalization of USDT rather than to any price series, producing an oscillator that measures the momentum and cyclical positioning of stablecoin supply expansion and contraction. The underlying logic is that USDT market cap is a direct proxy for the pool of deployable capital sitting on the sidelines of the crypto market: tracking its momentum with a Stochastic RSI reveals whether that capital is accelerating into or out of the ecosystem, which historically precedes or coincides with significant directional moves in Bitcoin and the broader market.
Calculation ⚙️
The first step is computing a standard RSI on the USDT market cap series over a configurable lookback. The RSI formula measures the average gain relative to the average loss over the period: average gain divided by the sum of average gain and average loss, multiplied by 100. This transforms the raw market cap series into a momentum oscillator bounded between 0 and 100.
The second step applies the Stochastic formula to the RSI values rather than to price. The Stochastic takes the current RSI value, subtracts the lowest RSI value over the stochastic lookback window, and divides by the range between the highest and lowest RSI values over the same window, multiplied by 100. The result, called the raw K line, measures where the current RSI sits within its own recent range, producing a reading that oscillates between 0 and 100 and is more sensitive to short-term reversals than the RSI alone.
The raw K is then smoothed with a simple moving average over the K smoothing period, producing the final K line. A second simple moving average is applied to the smoothed K over the D smoothing period, producing the D signal line. The fill between K and D visualizes their divergence and convergence over time.
The indicator operates on a configurable timeframe independent of the chart, defaulting to weekly, which filters out daily noise in USDT market cap reporting and produces structurally cleaner signals. A configurable midline (default 50) separates bullish from bearish momentum regimes. A signal highlight window activates for a configurable number of bars after K crosses above the midline, marking the early phase of a potential regime shift on the price chart.
Plots 📊
K line: smoothed Stochastic of the USDT market cap RSI, colored by regime
D line: signal line smoothed from K
Fill between K and D
Midline reference
Background color in the sub-panel reflecting current bullish or bearish regime
Signal highlight on the price chart for a configurable number of bars after K crosses the midline
Candle coloring on the price chart reflecting the previous bar's K regime
Inputs 🎛️
RSI Length: lookback for the RSI applied to USDT market cap
Stochastic Length: lookback for the Stochastic applied to the RSI values
K Smoothing: SMA period applied to the raw Stochastic output
D Smoothing: SMA period applied to the smoothed K line
Timeframe: resolution of the USDT market cap data, independent of the chart
Midline: threshold separating bullish and bearish momentum regimes
Signal Highlight Bars: number of bars the price chart highlight remains active after a midline crossover
Colors 🎨
5 Astral Vision presets + custom override. Default: Paradiso.
Purpose 🎯
A standard Stochastic RSI applied to Bitcoin price measures Bitcoin's own momentum in isolation. This indicator measures the momentum of an entirely separate variable: the supply of capital available to enter the market. A K line crossing above the midline on weekly timeframe does not mean Bitcoin is going up immediately; it means the rate of stablecoin creation is accelerating relative to its own recent history, which is a structurally earlier and causally distinct signal. Applying the Stochastic RSI rather than a simpler momentum measure adds the cyclical positioning dimension: it shows not just whether USDT supply is growing, but whether that growth is at an extreme or early stage relative to its own historical oscillation range.
Disclaimer ⭕️
This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions.
Indicator
Pure Matrix Profile [TPO & Link]Pure Matrix Profile
Description:
This indicator is a highly visual, ASCII-based environment recognition tool designed to map market structure, liquidity, and momentum within specific sessions. It is NOT a standalone entry signal generator. Rather, it provides a deep situational awareness of "price wall thickness" (Volume) and "market heat" (RSI) to help traders build robust defensive and offensive strategies.
1. Pine Script Limitations & Memory Management
In Pine Script, there is an absolute limit of 500 historical objects (Boxes, Labels, Lines) per script to prevent system overload, regardless of your account tier (Basic, Pro, Premium).
• Remaining Quota: 0 (This script maximizes the 500 limit for detailed rendering).
• How it works: To bypass this limitation and maintain a beautiful UI without crashing, the script uses a professional garbage collection technique (barstate.islast). It deletes all previous objects and recalculates/redraws the entire matrix exclusively on the most recent bar, ensuring optimal performance within the limits.
2. Core Calculations & Output Values
The visual beauty of this tool is driven by strict mathematical logic.
A. Price Bin Resolution (vp_step)
vp_step = (top_y - bot_y) / row_count
• Why: To divide the session's high-low range into equal tiers to distribute volume accurately.
• Output: A float value representing the price width of a single text row.
B. Binning (Data Assignment)
bin_idx = Math.floor( (c_price - bot_y) / vp_step )
• Why: To determine exactly which vertical "box" (row) the volume belongs to.
C. Volume-Weighted RSI (Heat)
Avg_RSI = Sum(Current_RSI * Volume) / Sum(Volume)
• Why: This reveals the true momentum only where significant institutional money was traded.
D. Histogram Normalization (Bottom-Up Heights)
val = (chunk_vol / max_chunk_vol) * hist_height
• Why: To normalize raw volume into a fixed visual height constraint for the bottom ASCII histogram.
E. ASCII Texture Logic (Wall Hardness)
The "density" of the ASCII character changes dynamically based on the Avg_RSI:
• Overheated (Avg_RSI >= 60): Renders "█" (Full Block). Represents a "Hard Wall" with strong momentum.
• Neutral (Avg_RSI 40.1 - 59.9): Renders "▒" (Medium Shade). Represents stable consolidation.
• Freezing (Avg_RSI <= 40): Renders "░" (Light Shade). Represents a "Soft Wall" with weak momentum.
3. Pros (Merits)
• Visualizing "Hardness": By combining volume depth and RSI texture, you can intuitively differentiate between strong support/resistance zones (Hard Walls) and fragile ones (Soft Walls).
• Risk Management: Helps prevent trading directly into "Hard Walls" or getting trapped in low-liquidity vacuums.
4. Cons (Limitations)
• Not an Entry Strategy: Provides zero edge as a standalone trigger.
• Lagging Nature: Session profiles form after the price has moved.
• Visual Clutter: High row counts on small screens may cause text overlap.
Japanese Description
このインジケーターは、特定のセッション内における市場構造、流動性、モメンタムをマッピングするための、ASCIIベースの視覚的な環境認識ツールです。これは単体でエントリーシグナルを生成するものではありません。トレーダーが堅牢な戦略を構築できるよう、「価格の壁の分厚さ（出来高）」と「相場の熱（RSI）」の状況認識を提供します。
1. 描画制限とメモリ管理について
Pine Scriptには、システム負荷を防ぐため、アカウントランクに関わらず1スクリプトにつき描写オブジェクトの最大上限が「500個」に厳格に設定されています。
・ 現在の残量: 0個（精密な描画のため、この500個の枠を最大限使い切る設定にしています）。
・ 動作の仕組み: 高度なメモリ管理（barstate.islast）を行っています。最新のローソク足でのみ過去のオブジェクトを全削除し、必要な分だけを一気に再計算して描き直すことで、制限枠内で安定稼働させています。
2. コアとなる計算式と出力値の解剖
A. 価格帯をスライスする計算 (VP Step)
vp_step = (top_y - bot_y) / row_count
・ なぜこの計算なのか: セッションの高安値を指定した行数で均等に分割し、1行あたりの価格幅を決定するため。
B. ローソク足の格納先判定 (Binning)
bin_idx = Math.floor( (c_price - bot_y) / vp_step )
・ なぜこの計算なのか: 出来高を正しい価格帯（行）に割り当てるため。
C. 出来高加重RSI（熱量の算出）
Avg_RSI = Sum(Current_RSI * Volume) / Sum(Volume)
・ なぜこの計算なのか: 大口の取引（出来高）が集中した価格帯のモメンタムだけを抽出するため。
D. ボトムヒストグラムの高さ計算 (Normalization)
val = (chunk_vol / max_chunk_vol) * hist_height
・ なぜこの計算なのか: 出来高を、指定した最大の高さ（行数）に正規化して当てはめるため。
E. ASCIIテクスチャ・ロジック（壁の硬度）
Avg_RSIの値に基づいて、描画される文字の密度（硬さ）が3段階で変化します。
・ 加熱帯 (RSI 60以上): 「█」（フルブロック）を描画。モメンタムを伴う「硬い壁」を意味します。
・ 中立帯 (RSI 40.1 - 59.9): 「▒」（ミディアムシェード）を描画。安定した攻防が行われているゾーンです。
・ 冷却帯 (RSI 40以下): 「░」（ライトシェード）を描画。モメンタムが弱まっている「柔らかい壁」を意味します。
3. メリット（優位性）
・ 壁の硬度の視覚化: 出来高の厚みとRSIのテクスチャを組み合わせることで、突破困難な「硬い壁」と、崩れやすい「柔らかい壁」を直感的に判別できます。
・ 無駄な被弾の回避: 強力な壁への無謀な突撃を防ぐための強力な環境認識根拠となります。
4. デメリット（限界と注意点）
・ エントリー戦略にはならない: 本ツール単体ではエントリーの優位性は一切ありません。
・ 遅行指標の性質: プロファイルは価格が動いた「後」に形成されます。
・ 視覚的なノイズ: 低解像度の環境で行数を大きく設定しすぎるとテキストが重なります。
Indicator
KOTANJAN HYPERMATRIX X(English Description)
KOTANJAN HYPERMATRIX X is a multi-layered market structure engine designed to analyze price behavior through a composite of momentum, volume, volatility, trend strength, and compression-expansion cycles.
Unlike traditional indicators that rely on a single mathematical model (such as RSI, MACD, or moving averages), this system integrates multiple independent market dimensions into one unified state engine.
CORE COMPONENTS
The system is built on six primary normalized market vectors:
ATR (Average True Range): Measures market movement intensity and volatility expansion.
Delta (Price Change Flow): Captures immediate directional pressure between candles.
OBV (On-Balance Volume): Tracks volume-driven capital flow into or out of price movement.
Momentum (ROC): Measures acceleration or deceleration of price movement.
Volatility Ratio: Identifies market instability relative to its own baseline behavior.
Trend Differential: Measures short-term directional bias using EMA spread structure.
These six components form the Market Matrix Core, representing the raw energy structure of price behavior.
FLOW STRUCTURE ENGINE
In addition to the matrix core, a secondary flow engine evaluates:
Multi-candle directional alignment (3-candle flow system)
Volume spike detection relative to dynamic average
Compression detection based on range contraction
This allows the system to distinguish between:
accumulation phases
breakout preparation phases
directional continuation phases
ADVANCED CONFIRMATION LAYER (KOTANJAN SYSTEM)
The distinguishing element of this indicator is the KOTANJAN System Layer, which enhances probability accuracy by adding adaptive market filters:
ADX (Trend Strength Filter): Determines whether market movement is structurally valid or noise-driven.
MACD Histogram (Momentum Continuation): Confirms whether directional pressure is accelerating or weakening.
RSI (Exhaustion Filter): Identifies overbought/oversold zones and reduces probability distortion during extreme conditions.
These filters do not replace the core matrix. Instead, they act as a probability refinement layer that adjusts market bias based on structural confirmation.
MARKET STRUCTURE INTERPRETATION
KOTANJAN HYPERMATRIX X interprets market behavior as a dynamic system of:
Compression → low volatility, accumulation phase
Expansion → breakout or trend initiation
Extreme → potential exhaustion or reversal risk
This structure allows the system to detect hidden transitions that are not visible through single-indicator analysis.
PROBABILITY ENGINE
All components are merged into a unified scoring system that produces:
Bullish probability (%)
Bearish probability (%)
This is not a prediction model but a weighted state evaluation of current market conditions.
KEY DIFFERENCE
The main difference between KOTANJAN HYPERMATRIX X and traditional trading indicators is:
It does not analyze price as a single line.
Instead, it treats the market as a multi-dimensional energy system, combining:
price structure
volume flow
volatility compression
trend strength
momentum confirmation
into one unified behavioral engine.
🇹🇷 Türkçe Açıklama
KOTANJAN HYPERMATRIX X, piyasayı tek bir indikatör mantığıyla değil, çok katmanlı bir “piyasa durum motoru” olarak analiz eden gelişmiş bir yapı sistemidir.
Klasik indikatörler (RSI, MACD, MA vb.) sadece tek bir veri tipine odaklanırken, bu sistem fiyatı birçok farklı boyutta aynı anda değerlendirir.
TEMEL BİLEŞENLER
Sistem 6 ana normalize veri üzerinden çalışır:
ATR: Piyasanın hareket gücünü ve volatilite genişlemesini ölçer
Delta: Mumlar arası anlık yön baskısını gösterir
OBV: Hacim akışı ile para giriş/çıkışını takip eder
Momentum (ROC): Fiyat hızlanmasını veya yavaşlamasını ölçer
Volatilite Oranı: Piyasanın kendi ortalamasına göre dengesizliğini ölçer
Trend Farkı: EMA yapısı üzerinden kısa vadeli yön eğilimini belirler
Bu 6 veri birlikte Market Matrix Core yapısını oluşturur.
AKIŞ SİSTEMİ (FLOW ENGINE)
Bunun yanında ikinci bir yapı vardır:
3 mumluk yön akışı
hacim patlama tespiti
daralma (compression) analizi
Bu sayede sistem şunları ayırt edebilir:
birikim dönemleri
kırılım hazırlıkları
trend devam bölgeleri
KOTANJAN SİSTEM KATMANI (EN ÖNEMLİ FARK)
Bu indikatörü diğerlerinden ayıran en önemli bölüm KOTANJAN sistem katmanıdır.
Bu katmanda:
ADX: Trend gerçekten güçlü mü yoksa rastgele hareket mi?
MACD Histogram: Momentum devam ediyor mu yoksa zayıflıyor mu?
RSI: Aşırı alım / aşırı satım bölgelerinde risk filtresi
Bu üç yapı direkt olarak sinyal üretmez.
Sadece mevcut sistemi “doğrulayan veya zayıflatan” bir ağırlık mekanizması olarak çalışır.
MARKET YAPISI OKUMA MANTIĞI
Sistem piyasayı 3 temel fazda okur:
Compression (Daralma): düşük volatilite, birikim
Expansion (Genişleme): kırılım veya trend başlangıcı
Extreme (Aşırı durum): yorulma ve dönüş riski
Bu yapı sayesinde klasik indikatörlerde görülmeyen gizli geçişler yakalanır.
PROBABILITY MOTORU
Tüm sistem birleşerek:
Boğa yüzdesi
Ayı yüzdesi
üretir.
Bu değerler tahmin değil, mevcut piyasa durumunun ağırlıklı analiz sonucudur.
EN BÜYÜK FARK
KOTANJAN HYPERMATRIX X’in en önemli farkı şudur:
Fiyatı tek bir çizgi olarak analiz etmez.
Bunun yerine piyasayı:
fiyat yapısı
hacim akışı
volatilite daralma/genişleme
trend gücü
momentum doğrulaması
olarak çok boyutlu bir sistem şeklinde değerlendirir.
Indicator
GROK8_NextGenTrading77 SMC + SuperTrend + WaveTrend [4 Profiles]A powerful all-in-one indicator that combines Smart Money Concepts (SMC), SuperTrend, and WaveTrend with 4 ready-to-use trading profiles.
How it works:
SMC detects institutional price zones: Order Blocks, Fair Value Gaps, Liquidity Pools, Break of Structure (BOS) and Change of Character (CHOCH).
SuperTrend delivers dynamic trend filtering and trailing stops based on ATR.
WaveTrend provides precise entry/exit signals, momentum shifts, and divergence detection.
The indicator intelligently merges market structure (SMC) + trend confirmation (SuperTrend) + timing & momentum (WaveTrend) for higher-probability setups.
4 Built-in Profiles for instant switching:
Scalping
Intraday
Swing
Trend Following
Perfect for Forex, Indices, Cryptocurrencies, and Stocks. Clean, customizable visuals with optional alerts.
Just add to chart, choose your profile, and trade.
Indicator
Elaris Smart Scalping IndicatorElaris Smart Scalping Indicator is a non-repainting trend and momentum scalping tool designed to help traders identify higher-quality buy and sell conditions using a structured confluence model.
The indicator combines EMA trend direction, RSI momentum, MACD histogram confirmation, volume strength, ATR volatility filtering, optional higher-timeframe bias, and session filtering into a clean signal-scoring system. Signals are confirmed only after candle close, helping reduce intrabar noise and repainting behavior.
It also includes visual TP/SL guide levels, trend background shading, buy/sell labels, alert conditions, and a compact dashboard showing trend state, HTF bias, RSI, ATR percentage, volume filter status, and signal score.
This tool is designed for scalping and short-term trading analysis across crypto, forex, indices, and other liquid markets. It is not financial advice and should be used with proper risk management and additional market context.
Key Features
Non-repainting confirmed buy/sell signals
EMA-based trend engine with adjustable strictness
RSI and MACD momentum confirmation
Optional higher-timeframe trend filter
Volume and ATR volatility quality filters
Optional session filter
Signal score system from 0–100
Visual entry, stop loss, TP1, and TP2 guide levels
Clean dashboard for live market state
Built-in PulseWire alert conditions
Indicator
RSI Pro Divergences: Crypto Edition# RSI Pro Divergences — Crypto Edition
A professional-grade RSI divergence detector built from the ground up in
Pine Script v6, specifically optimized for cryptocurrency markets
(BTC, ETH, SOL, LTC and altcoins) across all timeframes.
This indicator automatically identifies and visualizes the 4 key types of
RSI divergences, displays them with clear labels and connecting lines,
and provides a real-time status dashboard — everything an active trader
needs to spot high-probability reversal and continuation setups.
---
## 🎯 What It Detects
**▲ Regular Bullish Divergence** — Price prints a Lower Low while RSI
prints a Higher Low. Classic reversal signal at the end of a downtrend;
strong setup at support zones, springs, or accumulation phases.
**▼ Regular Bearish Divergence** — Price prints a Higher High while RSI
prints a Lower High. Classic reversal signal at the end of an uptrend;
strong setup at resistance, UTADs, or distribution phases.
**△ Hidden Bullish Divergence** — Price prints a Higher Low while RSI
prints a Lower Low. Continuation signal during pullbacks within an
established uptrend. Great for trend-following entries.
**▽ Hidden Bearish Divergence** — Price prints a Lower High while RSI
prints a Higher High. Continuation signal during retraces within an
established downtrend.
---
## 🚀 Key Features
- **Pine Script v6** — Built on PulseWire's latest engine for
maximum speed, type safety, and future-proofing
- **All 4 divergence types** — Regular and Hidden, both Bullish and
Bearish, each independently toggleable
- **Connecting lines between pivots** — Visualizes the divergence
directly on the RSI panel (solid for Regular, dashed for Hidden)
- **Differentiated labels** — BULL / H.BULL / BEAR / H.BEAR so you
can instantly distinguish reversal from continuation signals
- **Triangle markers** — Aligned to the actual pivot bar (not the
confirmation bar) using offset compensation
- **Dual overbought/oversold zones** — Standard (70/30) plus Extreme
(80/20) with shaded background for instant visual context
- **Real-time dashboard** — Shows current RSI value, market zone,
last divergence detected, and how many bars ago it appeared
- **6 alert conditions** — One per divergence type plus OB/OS crosses,
fully customizable for webhooks and notifications
- **Fully configurable** — Period, source, pivot lookbacks, range
filters, colors, and dashboard position all adjustable via inputs
---
## ⚙️ Recommended Settings by Timeframe
| Timeframe | RSI Period | Pivot L/R | Range Min/Max | Use Case |
|-----------|------------|-----------|---------------|-------------------|
| 5m | 10 | 3 / 3 | 5 / 40 | Scalping entries |
| 15m | 12 | 4 / 4 | 5 / 50 | Intraday |
| 1H | 14 | 5 / 5 | 5 / 60 | Short-term swing |
| 4H | 14 | 5 / 5 | 5 / 60 | Macro validation |
| 1D | 14 | 7 / 7 | 5 / 80 | Weekly structure |
---
## 📊 How to Use
1. **Apply to chart** — Adds a new sub-panel with the RSI and signals
2. **Set your timeframe** — Use the table above as a starting point
3. **Watch the dashboard** — Top-right corner shows live RSI status
4. **Confirm with context** — Divergences work best when combined with:
- Support/resistance zones
- Volume confirmation
- Higher timeframe trend alignment
- Order flow or market structure analysis
5. **Set alerts** — Right-click any signal → Add Alert → choose
the divergence type you want to be notified about
---
## ⚠️ Important Notes
**This is an indicator, not a complete trading system.** Divergences are
high-probability signals but should never be traded in isolation. Always
combine with proper risk management, position sizing, and confluence
from other tools (volume, structure, higher timeframes, macro context).
**On repainting:** Pivots are confirmed N bars after they form (where N
equals the right lookback). This means signals appear with a small delay
but do NOT repaint once confirmed. Lower lookback values reduce delay
but increase noise.
**Best results in crypto:** This indicator was tuned specifically for
24/7 markets with high volatility. It also works on stocks, forex,
and futures, but parameters may need adjustment for those markets.
---
## 🔧 Technical Details
- Language: Pine Script v6
- Type: Indicator (study), non-overlay
- Performance: Up to 500 lines and 500 labels rendered
- Repainting: Confirmed pivots only (delayed but stable)
- Resource usage: Lightweight, suitable for multi-chart layouts
---
## 📜 Credits
Built on the divergence detection logic originally popularized in the
PulseWire community, completely rewritten and modernized in Pine v6
with crypto-specific optimizations, visual enhancements, dashboard
integration, and alert system.
Open source — feel free to fork, modify, and improve. If you find this
useful, a like and comment would be appreciated!
---
**Happy trading. Stay patient. Trust the system.** 🎯
Indicator
Momo ScannerInput up to 8 symbols to show an adjustable amount of timeframes that are above or below a certain RSI threshold.
Indicator
Momo(RSI) 3.1Multi-timeframe RSI indicator. Highlights on the background when all timeframes are aligned which can indicate momentum in one direction.
The difference on this indicator is that it switches the table to your selected symbol.
Indicator
Dual RSI + MA + Divergences# Dual RSI PRO — Indicator Description
## Overview
Dual RSI PRO is an advanced momentum and divergence indicator built around two Relative Strength Index calculations working together in a single oscillator window.
The indicator combines:
* RSI 14 (trend and structure)
* RSI 7 (fast momentum trigger)
* RSI-based Moving Average
* Optional Bollinger Bands on RSI
* Automatic bullish and bearish divergence detection
* Dynamic gradient visualization between both RSI lines
* Alert conditions for all divergences
The purpose of the indicator is to visualize the relationship between short-term momentum and broader market structure.
---
# Core Components
## 1. RSI 14 — Primary Momentum Structure
The 14-period RSI acts as the main trend and momentum reference.
It provides:
* smoother market structure
* trend confirmation
* overbought/oversold context
* divergence validation
Color:
* Purple
---
## 2. RSI 7 — Fast Momentum Trigger
The 7-period RSI reacts much faster to price changes.
It is designed for:
* early reversals
* scalping entries
* short-term momentum shifts
* aggressive divergence detection
Color:
* Orange
Because RSI 7 reacts earlier than RSI 14, it often provides leading signals before the slower RSI confirms the move.
---
# Dynamic Gradient Fill
The space between RSI 7 and RSI 14 is filled dynamically using a gradient color system.
## Green Gradient
Appears when:
* RSI 7 is above RSI 14
Interpretation:
* bullish acceleration
* increasing momentum
* upward pressure strengthening
---
## Red Gradient
Appears when:
* RSI 7 is below RSI 14
Interpretation:
* bearish acceleration
* weakening momentum
* downward pressure strengthening
---
## Gradient Intensity
The strength of the color depends on the distance between both RSI lines.
### Small Distance
* weak transparency
* soft color
* momentum equilibrium
### Large Distance
* strong color
* higher saturation
* momentum expansion
This creates a visual momentum heatmap directly inside the oscillator.
---
# RSI-Based Moving Average
The indicator includes a smoothing system applied directly to RSI 14.
Supported MA types:
* SMA
* EMA
* RMA / SMMA
* WMA
* VWMA
* SMA + Bollinger Bands
The RSI MA helps:
* reduce noise
* identify RSI trend direction
* confirm momentum continuation
* filter false reversals
Color:
* Yellow
---
# Bollinger Bands on RSI
When enabled, Bollinger Bands are calculated around the RSI Moving Average.
Purpose:
* volatility expansion analysis
* RSI compression detection
* momentum breakout zones
Interpretation:
* RSI touching upper band may indicate strong bullish momentum
* RSI touching lower band may indicate strong bearish momentum
* narrowing bands suggest consolidation
* expanding bands suggest volatility growth
---
# Divergence Detection
The indicator automatically detects:
## Bullish Divergence
Price:
* lower low
RSI:
* higher low
Meaning:
* bearish momentum weakening
* possible upward reversal
---
## Bearish Divergence
Price:
* higher high
RSI:
* lower high
Meaning:
* bullish momentum weakening
* possible downward reversal
---
# Divergences for Both RSI Lines
The system calculates divergences separately for:
* RSI 14
* RSI 7
This creates two layers of signal sensitivity.
---
## RSI 14 Divergences
Characteristics:
* slower
* more reliable
* structural reversals
* swing trading quality
Visualization:
* labels
---
## RSI 7 Divergences
Characteristics:
* faster
* earlier
* more aggressive
* better for scalping
Visualization:
* triangles
---
# Alert System
Built-in alerts include:
* RSI 14 bullish divergence
* RSI 14 bearish divergence
* RSI 7 bullish divergence
* RSI 7 bearish divergence
This allows automation and notification workflows inside PulseWire.
---
# Typical Trading Interpretation
## Strong Bullish Environment
* RSI 7 above RSI 14
* strong green gradient
* RSI MA sloping upward
* bullish divergences appearing
---
## Strong Bearish Environment
* RSI 7 below RSI 14
* strong red gradient
* RSI MA sloping downward
* bearish divergences appearing
---
## Momentum Compression
* RSI lines close together
* weak gradient
* narrowing Bollinger Bands
Usually indicates:
* consolidation
* low volatility
* possible breakout preparation
---
# Best Use Cases
The indicator works especially well for:
* scalping
* momentum trading
* intraday trading
* reversal detection
* divergence trading
* volatility expansion analysis
Recommended markets:
* Nasdaq
* Crypto
* Forex
* High-volatility instruments
---
# Visual Philosophy
The indicator is designed to work as a “momentum battlefield map.”
Instead of showing only a single RSI line, it visualizes:
* momentum direction
* acceleration
* distance between momentum layers
* structural weakness
* volatility state
* reversal probability
All inside one compact oscillator.
Indicator
Zfx Lunar Phase Engine
Zfx — Lunar Phase Engine
This indicator maps the synodic lunar cycle directly onto your price chart using precise astronomical timing. The lunar wave is calculated from a verified new moon epoch and plotted as a smooth sine oscillator on the left scale, allowing you to overlay the natural 29.5-day moon cycle against any market on any timeframe — without cluttering your price action.
What it does:
- Computes real-time lunar phase (0 = New Moon → 0.5 = Full Moon → 1 = back to New Moon) using the synodic month constant (2,551,442 seconds)
- Plots the wave on the left scale directly over price — candles remain fully readable
- Marks all four lunar phases with vertical lines and emoji anchors: 🌑 New Moon (cyan), 🌓 First Quarter, 🌕 Full Moon (gold), 🌗 Third Quarter
- Projects the next 3 upcoming phase events forward in time as dashed future lines
- Displays a live data table: current illumination % and days until the next New/Full Moon
- Optional waxing/waning background shading
Why it matters:
Lunar cycles have been studied in relation to market sentiment, liquidity windows, and turning points across commodities, indices, and crypto. This tool makes it effortless to visually correlate price behaviour with the moon's phase without any manual calculation.
Settings:
- Toggle quarter moon markers on/off
- Toggle background shading on/off
- Toggle the data table on/off
- All alert conditions included for all 4 phase transitions
Built for clean, uncluttered overlay use on any symbol and any timeframe.
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That framing is distinct enough — it emphasises the astronomical calculation, the overlay approach, the left-scale design, and the forward projection, which differentiates it from generic lunar scripts.
Indicator
Candle Range Comparison OscillatorA great replacement for volume on cfd's since you cant get true volume there, also combined with volume on futures gives you a pretty strong signal when big players enter the market.
Candle Range Comparison Oscillator
Candle Range Comparison Oscillator
Candle Range Comparison Oscillator
Indicator
AetherEdge - WaveTrend Oscillator Enhanced🖊️ Overview
AetherEdge WaveTrend Enhanced is a next-generation momentum analysis engine that fully evolves the legendary LazyBear WaveTrend with adaptive zones, MTF integration, and 4-type divergence detection. By combining percentile/standard-deviation-based dynamic zones, higher-timeframe alignment checks, and a precision pivot-based divergence scanner, it transcends the limitations of fixed OB/OS levels to deliver a truly intelligent oscillator that auto-syncs with market rhythm.
🔶 Key Features
3 Zone Modes: Static / Adaptive (Percentile) / Dynamic (StDev)
4-Tier Zone Levels: OB/OS + OB/OS Extreme detection
MTF WaveTrend Integration: HTF directional alignment kills fakeouts
4-Type Divergence: Regular Bull/Bear + Hidden Bull/Bear
Precision Pivot Detection: Configurable left/right bars + distance filter
Zone-Restricted Divergences: Only OB/OS pivots for higher signal quality
Momentum Histogram: Two-stage color (acceleration/deceleration)
4 Signal Modes: WT Cross / Zone Cross / +MTF / Divergence Only
MTF Repaint Control: barmerge.lookahead toggle
Extreme Zone Visualization: Highlight dots in extreme territory
Integrated Dashboard: 14-row real-time state monitor
🧠 Technical Architecture
This indicator preserves LazyBear's original algorithm intact while layering a statistical adaptation engine and multi-context confirmation system on top.
WaveTrend Core:
esa = EMA(src, n1) — smooth baseline
d = EMA(|src - esa|, n1) — dispersion measure
ci = (src - esa) / (0.015 × d) — normalized channel index
tci = EMA(ci, n2) becomes WT1; SMA(tci, sigLen) becomes WT2
Adaptive Zone Engine:
Percentile mode: ta.percentile_nearest_rank computes 85/15/95/5 percentiles over N bars → auto-adapts to instrument-specific characteristics
StDev mode: mean ± stdev × multiplier for statistical outlier detection → theoretical thresholds assuming normal distribution
Static mode: Classic fixed levels (60/-60, 80/-80)
MTF Synchronization:
request.security fetches HTF WaveTrend
lookahead_off default prevents repaint
Alignment gate permits signals only when MTF agrees
Divergence Detection:
ta.pivothigh/low for confirmed pivots
Compares last two pivots (price vs WT)
Distance filter (min/max bars) eliminates noise pivots
Regular Bull: Lower price low + Higher WT low (reversal)
Hidden Bull: Higher price low + Lower WT low (continuation)
Regular Bear: Higher price high + Lower WT high (reversal)
Hidden Bear: Lower price high + Higher WT high (continuation)
Signal Synthesis Layer: 4 selectable modes + optional MTF agreement
⚙️ Recommended Settings & Tuning Guide
Crypto Defaults:
BTC (4H–1D): n1=10, n2=21, Percentile mode, MTF=1D (standard, strongest)
ETH (1H–4H): n1=9, n2=18, Percentile mode, MTF=4H
SOL (high-vol): StDev mode, multiplier=1.8/2.8 for extreme detection
XRP (range): Static mode 50/-50 for frequent signal capture
Zone Mode Selection:
Adaptive (Percentile): Universal across instruments (recommended default)
Dynamic (StDev): Statistical rigor, effective in trending markets
Static: Classic WT reproduction, validation/comparison
Signal Mode Selection:
WT Cross: Highest frequency, scalping
Zone Cross: Standard, day trading
Zone Cross + MTF Align: Highest accuracy, swing trading
Divergence Only: Reversal hunting, low frequency / high win rate
Tuning:
Too many signals: Enable MTF Align, set divZoneOnly=true
Too few signals: Loosen to obPct=80, osPct=20
Better divergence: divLBL/LBR=7, divRangeMin=8
💡 How to Use in Practice
OS Extreme + Regular Bull Div: Premier buy signal, consider full position
OB Extreme + Regular Bear Div: Premier sell signal
Hidden Divergence: Trend-continuation confirmation, pullback entries
MTF Aligned Bull + Zone Buy: HTF-aligned high-conviction long
Histogram Acceleration (▲▲ Accel): Momentum strengthening, hold positions
Histogram Deceleration (▲ Slow): Profit-taking preparation
AetherEdge Synergy:
SuperTrend Multi-Factor 3/3 Bull + WT Regular Bull Div = ultimate bottom
Self-Evolving S/R Grid strong support + WT OS Extreme = max-conviction reversal
Volume Profile POC + WT Zone Buy = institutional-sync entry
Multi-TF Strategy: Direction on 1D WT → wait zone on 4H WT → precision entry on 1H WT
⚠️ Important Notes
Pivot Lag: divLBR-bar delay inherent (no real-time detection)
Adaptive Zone Warmup: Unreliable below pctLookback bars
MTF Repaint: mtfRepaint=true causes backtest illusions; default off recommended
Divergence Overuse: Multiple firings in strong trends—never use standalone
Histogram Flip: Treat as early warning, not signal
Prolonged Extreme Stays: Avoid counter-trend trades during strong moves
🚨 Disclaimer
This indicator is a technical analysis tool provided for educational and research purposes only and does not constitute financial advice. Adaptive zones, MTF analysis, and divergence detection are statistical methods based on historical data and do not guarantee future profits. All trading decisions are made at your own risk and should be accompanied by proper risk management.
Indicator
AetherEdge - Smart RSI Divergence Hunter🖊️ Overview
AetherEdge Smart RSI Divergence Hunter is a next-generation divergence engine that automatically detects all four types of RSI divergences (Regular Bullish/Bearish, Hidden Bullish/Bearish) and fully integrates them with price structure (HH/HL/LH/LL) to extract only the highest-precision signals. Through three-layer verification—RSI pivot tracking, structure filtering, and OB/OS confirmation—it never misses the silent "divergence between price and momentum" the market emits. Both reversal and trend-continuation strategies are unified in a single indicator.
🔶 Key Features
Full 4-Type Divergence Coverage: Regular Bullish/Bearish + Hidden Bullish/Bearish
RSI Pivot-Based Detection: High-precision swing point identification
Price Structure Filter: Auto HH/HL/LH/LL detection for trend alignment
Intelligent OB/OS Confirmation: Regular fires in extremes, Hidden in continuation zones
Pivot Spacing Control: minBars / lookback to suppress over-detection
Type-Specific Color System: Instant 4-type identification via AetherEdge palette
Structure Markers: HH/HL/LH/LL plotted directly on chart
Star ⭐ Signals: High-conviction divergences highlighted
Auto Divergence Line Drawing: Visual representation of price/RSI divergence
Integrated Dashboard: Current structure, latest divergence, RSI status
Premium Dark Mode UI: Professional brand-themed design
🧠 Technical Architecture
This indicator evolves divergence detection from "simple discovery" to "structural confirmation" via a sophisticated engine.
Dual Pivot Tracking: ta.pivothigh/pivotlow detects pivots on RSI; latest two points (rsiPH1/PH2, rsiPL1/PL2) are recorded across price, RSI, and bar index axes.
4-Type Divergence Logic:
Regular Bullish: pxPL1 < pxPL2 AND rsiPL1 > rsiPL2 (price LL × RSI HL)
Regular Bearish: pxPH1 > pxPH2 AND rsiPH1 < rsiPH2 (price HH × RSI LH)
Hidden Bullish: pxPL1 > pxPL2 AND rsiPL1 < rsiPL2 (uptrend pullback continuation)
Hidden Bearish: pxPH1 < pxPH2 AND rsiPH1 > rsiPH2 (downtrend rally continuation)
Structure Engine: From structLen-based swing detection, the latest 2 swings are compared to dynamically determine HH/HL/LH/LL, generating isUptrend/isDowntrend.
Trend Compatibility Filter: A logically correct hierarchical filter—regular divergences require "not opposite trend" while hidden divergences require "matching trend."
OB/OS Confirmation: When requireOBOS is ON, bullish fires at rsiOS+10 or below, bearish at rsiOB-10 or above—reinforcing reversal conviction in extremes.
Pivot Spacing Control: minBars excludes adjacent pivots; lookback filters out stale divergences. Balanced noise reduction and effectiveness.
Auto Line & Label Drawing: 4-color system visualizes by type, retaining historical divergences on chart.
⚙️ Recommended Settings & Tuning Guide
Crypto Defaults:
BTC (4H–Daily): rsiLen=14, pivLeft/Right=5, structLen=20 (standard is optimal)
ETH (1H–4H): pivLeft/Right=4, lookback=80 for slightly earlier detection
SOL (High-Vol): pivLeft/Right=6, minBars=8 to exclude false divergences
XRP (Range-Heavy): requireOBOS=true, useStruct=true for strict filtering
Tuning Guide:
Day Trading: Default settings, operate 15M–1H
Swing Trading: rsiLen=21, structLen=30 for macro divergences
Scalping: pivLeft/Right=3, minBars=3 for fast short-term detection
Reversal-Focused: useRegBull/Bear=true, requireOBOS=true for max conviction
Trend-Following: useHidBull/Bear=true, useStruct=true for continuation signals
Excess Signals: minBars=10, lookback=40 to prioritize precision
Sparse Signals: useStruct=false, requireOBOS=false to relax detection
💡 How to Use in Practice
Regular Bullish + RSI ≤30: Strongest reversal setup at bottoms
Regular Bearish + RSI ≥70: Top-zone short entry candidate
Hidden Bullish + HL Structure: Perfect pullback-buy signal in uptrend continuation
Hidden Bearish + LH Structure: Rally-sell entry in downtrend continuation
Multi-Timeframe Synergy: Higher-TF structure confirmation + lower-TF divergence firing = ultimate setup
AetherEdge Synergy: Self-Evolving S/R Grid strong line + Divergence Hunter reversal signal = dual confirmation
Squeeze Breaker Fusion: Divergence forms during squeeze → directional confirmation on release = explosive entry
Double Divergence: Two consecutive same-direction divergences = ultra-high conviction—entry reinforcement
⚠️ Important Notes
Pivot Lag: pivRight bars of confirmation delay; caution with real-time unconfirmed signals
Avoid Counter-Trend in Strong Trends: Regular divergences become invalid during powerful trend continuations
Hidden Structure Dependency: With structure filter ON, no firing if not aligned with trend direction
Lookback Limit: Stale divergences are invalidated; tune accordingly on long-term charts
OB/OS Filter Trade-off: requireOBOS=true increases conviction but reduces signal count
🚨 Disclaimer
This indicator is a technical analysis tool provided for educational and research purposes only and does not constitute financial advice. Divergence detection and signal generation are probabilistic evaluations based on historical price and RSI data and do not guarantee future market behavior. All trading decisions are made at your own risk and should be accompanied by proper risk management.
Indicator
AetherEdge AI Divergence Ghost🖊️ Overview
AetherEdge AI Divergence Ghost is a next-generation divergence detector that neurally fuses five oscillators and self-evolves their weights based on real-time correlation with future price action. By eliminating single-oscillator noise and filtering through a multi-layer confidence score, it plots only elite-grade signals as ultra-minimal ghost arrows — a silent sniper indicator built for clarity and conviction.
🔶 Key Features
Multi-Oscillator Neural Fusion: RSI, MACD, Stochastic, MFI, and CCI normalized via Z-score
Adaptive Weight Learning: Softmax weights derived from each oscillator's correlation with forward returns
4-Type Divergence Detection: Regular Bull/Bear & Hidden Bull/Bear
Confidence Scoring: Combines divergence magnitude with multi-oscillator agreement
Pivot Distance Filter: minBars / maxBars eliminate low-quality setups
Cooldown Mechanism: Prevents arrow clustering
Ghost Arrow Visuals: Tiny, transparency-adjustable triangles keep charts pristine
🧠 Technical Architecture
The engine combines a self-evolving neural oscillator with multi-layer validation.
Normalization Layer: All five oscillators are converted to a 50-period Z-score (x-μ)/σ, ensuring scale-uniform fusion.
Adaptive Weight Learning: A 100-bar correlation between each oscillator (lagged 5 bars) and forward return is computed. Only positive correlations contribute, normalized softmax-style — so oscillators that actually work in the current regime gain influence automatically.
Neural Composite Oscillator: neuralOsc = Σ(w_i × n_i) produces a regime-optimal signal.
Dual-Layer Pivot Detection: Pivots are tracked on both price and the neural oscillator, evaluating all four divergence types logically.
Confidence Scoring: Combines price/oscillator delta magnitude with an agreement bonus (how many of 5 raw oscillators confirm the divergence direction) into a final composite score.
Cooldown & Threshold Filter: Signals fire only when score ≥ minScore AND cooldown bars have elapsed — strict elite-only output.
⚙️ Recommended Settings & Tuning Guide
Crypto Defaults:
BTC/ETH (1H–4H): Lookback=50, Pivot Strength=5, Min Score=0.6
SOL/XRP (15M–1H): Pivot Strength=3, Min Score=0.65 (noise-resistant)
Swing (4H–1D): Lookback=80, maxBars=100, Min Score=0.55
Tuning Tips:
Too few signals: Lower Min Score to 0.5, or disable Adaptive Weight Learning
Too many signals: Raise Min Score to 0.7+, Pivot Strength to 7+
Trending regime: Show Hidden only (disable Regular)
Ranging regime: Show Regular only (disable Hidden)
💡 How to Use in Practice
Regular Bull/Bear: Counter-trend reversal entries
Hidden Bull/Bear: Trend-continuation pullback/rally entries
Multi-Timeframe: Use HTF Regular divergences for bias, LTF Hidden divergences for precision entries
Combinations: Pair with AetherEdge Adaptive Super Neural — Ghost signals coinciding with trend flips offer extreme conviction
S/R Confluence: Ghost arrows at major S/R zones dramatically boost reversal probability
⚠️ Important Notes
Pivots confirm pivotLen bars after formation — signals plot historically (confirmation delay, not repaint)
The first ~100 bars serve as a learning warm-up; Adaptive Weight accuracy improves thereafter
After abrupt volatility shifts, normalization needs several bars to restabilize
Divergence offers probabilistic edge — always combine with confluence and risk management
🚨 Disclaimer
This indicator is provided for educational and research purposes only and does not constitute financial advice. All trading decisions are made at your own risk and should be accompanied by proper risk management. Past performance is not indicative of future results.
Indicator
AetherEdge KNN Momentum Whisper🖊️ Overview
AetherEdge KNN Momentum Whisper is a next-generation momentum forecasting engine powered by the K-Nearest Neighbors algorithm. It builds a rolling library of up to 300 historical market patterns, instantly retrieves the K most similar precedents to the current setup, and computes a distance-weighted forecast of next-bar momentum. The result is delivered through a single, elegant histogram whose color intensity simultaneously encodes direction, magnitude, and consensus confidence.
🔶 Key Features
True KNN pattern-matching engine with rolling historical dictionary
3D feature vectors: returns, normalized RSI, ATR Z-score
Variable pattern length (3–10 bars) for tunable temporal context
Inverse-distance weighted prediction — closer matches dominate
Consensus confidence scoring measuring directional agreement among neighbors
Dynamic color intensity driven by strength × confidence
Ultra-clean single histogram visualization — direction, power, and conviction in one bar
Four smart alerts for strong signals and directional flips
🧠 Technical Architecture
1. Feature Extraction Layer (Multi-dimensional Pattern Vector)
Return: single-bar percent change
RSI Normalized: scaled to -1..+1 (×2 amplified)
ATR Z-Score: 50-bar standardized volatility
These are concatenated across patternLen bars to form vectors up to 30 dimensions.
2. Pattern Library Layer (Rolling Dictionary)
Every bar appends a (past pattern, realized future return) pair to the library. Once historySize is exceeded, oldest entries are automatically pruned — always keeping the freshest learning corpus.
3. KNN Search Layer
Computes Euclidean distances from the current pattern to every library entry, then performs selection-based extraction of the K nearest neighbors. Their future-return labels are blended via 1/(d+ε) weighting to produce the momentum forecast.
4. Confidence Scoring Layer
Counts how many of the K neighbors agree on direction (bullish vs bearish). The dominant ratio becomes the confidence score (0–1).
5. Dynamic Visualization Layer
The forecast is ATR-normalized; strength = |normalized forecast| × confidence. Transparency is interpolated between minAlpha and maxAlpha — strong signals appear bold, weak signals fade.
⚙️ Recommended Settings & Tuning Guide
Crypto Defaults
BTC (1H–4H): History 300, K=8, Pattern 5, Forecast 1
ETH (30m–2H): History 300, K=8, Pattern 5, Forecast 1
SOL (15m–1H): History 250, K=10, Pattern 4, Forecast 1
XRP (1H–4H): History 350, K=8, Pattern 6, Forecast 2
Parameter Tuning
History Size: larger = more statistical stability (300 is the sweet spot)
K (Neighbors): 3–5 = reactive, 10–15 = stable
Pattern Length: 3–4 for short-term reversals, 6–8 for trend continuation
Forecast Horizon: 1–2 highest accuracy; 3+ adds noise
Features: Return + ATR for trends, prioritize RSI in ranges
💡 How to Use in Practice
Scenario 1 — Bold-Bar Entries
Vivid (low-transparency) bars indicate high strength × high confidence — historical neighbors overwhelmingly agree. Premium signals for trend-following entries.
Scenario 2 — Histogram Flip Detection
Zero-line crossover is the earliest "whisper" of momentum reversal. Use it as exit signal in trend-following or entry in mean-reversion strategies.
Scenario 3 — Faded Bars = Caution
Highly transparent bars indicate disagreement among neighbors — the market is in unfamiliar territory. Stand aside.
Multi-Timeframe Workflow
Confirm macro direction on 4H KNN → identify setup on 1H → time entries on 15m. Pairs powerfully with S/R and regime-detection tools.
⚠️ Important Notes
Forecasts activate only after historySize + patternLen bars are accumulated
Pattern library resets on chart reload
Computationally heavy — reduce historySize to 200 on low-spec setups
Sudden regime shifts may render past patterns less informative
🚨 Disclaimer
This indicator is provided for educational and analytical purposes only and does not constitute financial advice. All trading decisions remain your sole responsibility. Past performance does not guarantee future results, and crypto markets carry substantial risk.
Indicator
[3Commas] Silicon Vault Long - Indicator Silicon Vault Long — Indicator
🔷 What it does:
This indicator visualizes a long-only Dollar-Cost-Averaging signal framework for tokenized semiconductor stocks (Intel and similar tech perpetuals), using an RSI-confirmed exit gate. It marks base order entries continuously, projects the full 8-level safety order ladder, tracks a virtual deal lifecycle on the chart, and exposes webhook-ready alerts for automated execution through an external DCA Bot. No orders are placed by the indicator itself — it is a pure signal and visualization layer.
- Base Order signal: opens immediately when no active deal exists (nonstop reload)
- Safety Order ladder: 8 cumulative levels (step coef 1.22), all equal size
- Exit signal: RSI(14) on 15m crosses above 70 AND profit ≥ 0.6% from average entry
- On-chart virtual P&L tracker: Net Profit, Max Drawdown, Trades, Win Rate, Profit Factor
🔷 Who is it for:
DCA traders applying averaged-entry logic to tokenized semiconductor perpetuals.
Bot operators who automate execution through webhook integration with a DCA Bot.
Free-tier PulseWire users who want access to the same signal logic as the Strategy version without requiring backtest functionality.
Discretionary traders who want clear on-chart triggers and ladder projections for manual execution.
🔷 How does it work:
Long Entry Signal: When no virtual deal is active, the indicator marks a Base Order fill on the next confirmed bar with a green "BO" triangle below the bar. The base price, total cost, and quantity are recorded for later P&L calculation.
Short Entry: Not used — long-only signal framework by design.
Exit Management: A take-profit signal fires when two conditions align simultaneously — RSI(14, 15m) crosses above 70 AND the unrealized profit from the average entry reaches the minimum threshold (default 0.6%). The dual gate filters out RSI-triggered exits that would close deep-averaged positions at a loss. On exit, the indicator marks the bar with a cyan "TP" diamond and resets the virtual deal state.
🔷 Why it's unique:
Dual-gate exit logic — neither the RSI signal nor the minimum profit gate acts alone. Closing requires both — the timing trigger AND the economic justification. This ensures every signaled close is both momentum-confirmed and accumulation-corrected.
Semiconductor sector focus — calibrated for tokenized chip / mega-cap tech stocks where chip-cycle volatility produces the intraday range that DCA bots monetize through structured averaging. The default 8-level cumulative ladder (cumulative −8.88% from base) reflects this volatility regime.
Bot Integration — entry and exit alerts ship with webhook-ready JSON payloads. Bot ID, Email Token, and pair label are exposed as inputs and automatically embedded into the alert message format.
🔷 What you'll see on the chart:
Cyan line — Base Entry price (reference for the SO ladder)
Yellow line — Average Entry price (recalculates as SOs fill)
Lime line — Take Profit target (Average × (1 + minProfit%))
Red lines (8) — Full SO ladder projected from base; fades to gray as each level fills
Green "BO" triangle (below bar) — New virtual deal opened
Red "SO" triangle (above bar) — Safety order filled at one of the ladder levels
Cyan "TP" diamond (above bar) — Dual-gate exit triggered, deal closed
Pink × marker — RSI cross above threshold (only profit-gate condition still pending)
Background tints — Green on BO bar, Red on SO bar, Cyan on TP bar
Stats card (top-left, configurable) — Live virtual results: Net P&L, Max Drawdown, Total Trades, Win Rate, Profit Factor
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Designed for a 15-minute chart on tokenized semiconductor or mega-cap tech perpetuals with active intraday range. Best suited to instruments with sustained bullish drift and regular pullback structure. Less suited for sustained downtrends or instruments without structural upside bias — tokenized stocks have embedded long-term upward expectation that crypto-native pairs do not always share. Other timeframes will produce different signal density.
Limitations: The indicator does not place orders. It tracks a "virtual deal" state on the chart for visualization purposes only — actual execution must be performed through a connected bot or manually. The signal framework carries no stop loss; in sustained downtrends extending beyond the deepest safety order (−8.88% from base), the virtual deal holds unrealized loss until either the average is recovered or the alert flow is manually overridden. The structural assumption is that the underlying tokenized equity will mean-revert upward over time — if this assumption breaks during equity bear markets or semiconductor sector cycles, the strategy is materially exposed.
Virtual P&L Accuracy: The on-chart stats card uses a simplified internal accounting model — it does not factor exchange commission or slippage. Realized profit is computed as the raw (close − avgPx) × qty at the moment of exit. Use the Strategy version for fee-adjusted backtest results.
Backtesting & Demo Testing: Always validate the signal framework on historical data before connecting to a live bot. The companion Strategy version of this script is available on the same profile for full backtest analysis with realistic commissions and slippage. Demo-trade for at least one month to observe behavior in conditions not represented in historical data. Past performance is not indicative of future results.
Parameter Adjustments: RSI threshold (70) and the minimum profit gate (0.6%) should be tuned per instrument volatility. Tighter thresholds for lower-volatility tokenized stocks, wider for high-beta semiconductor tickers. SO step (0.5%) and step coefficient (1.22) define ladder depth — widen the step for instruments with bigger intraday swings.
🔷 Backtest Validation:
This indicator shares identical signal logic with the Strategy version of the same framework, available on this profile for full historical performance review with realistic commission and slippage:
Strategy version:
Indicator on-chart virtual P&L tracker results (BITGET:INTCUSDT.P, 15m, Jan 1 2025 — May 17 2026, 252 days):
Net Profit: +76.82 USDT (+15.36%) | Max Drawdown: 0.00 USDT (0.00%) | Total Deals: 101 | Win Rate: 100.00% (101 / 101) | Profit Factor: ∞ (no losing deals in virtual model)
Note: The indicator's virtual P&L tracker uses a simplified accounting model that does not factor exchange commission or slippage. The 100% win rate and 0% drawdown reflect this simplification — every virtual deal in the test window closed at the take-profit target because there were no negative fills in the structurally bullish phase. For fee-adjusted backtest results with realistic commission, refer to the companion Strategy version:
Strategy version reference (with 0.06% Bitget taker fee applied):
Net Profit: +55.96 USDT (+11.19%) | Max Drawdown: 16.75 USDT (3.13%) | Total Closed Trades: 320 (entry-level count) | Win Rate: 88.75% (284 / 320) | Profit Factor: 23.701
The reference window captures a structurally bullish phase for Intel stock — the ideal regime for the strategy's nonstop reload + RSI-confirmed exit design. Performance during semiconductor sector downturns and chip-cycle bear markets has not been validated. Refer to the Strategy publication for the complete Pine-simulated equity curve, trade-by-trade breakdown, and Strategy Tester report with venue-specific commission applied.
🔷 How to Use It:
🔸 Adjust Settings: Configure Base Order and Safety Order volumes proportional to your account size and risk tolerance. The default 11.25 / 7.5-USDT structure is calibrated for a 500-USDT test account; scale linearly to your equity. RSI threshold can be tightened to 65 for more frequent exits or widened to 75 for fewer, larger captures. SO step should be widened on instruments with higher intraday volatility (e.g., NVDA, AMD).
🔸 Visual Confirmation: Use the on-chart projections (base entry, SO ladder, average entry, TP target) to verify that the active virtual deal aligns with your bot's actual position. The indicator's virtual deal state is a 1-to-1 mirror of the Strategy version's signal logic (minus commission), so any divergence between chart visuals and bot position is a flag for investigation. The pink × markers help trace when RSI conditions fire without the profit gate being met yet.
🔸 Create alerts to trigger the DCA Bot: Two alert events are exposed by the indicator — "Deal Start" fires on each new base order signal, and "Deal Close" fires when the dual-gate exit triggers. Configure both alerts in PulseWire with the webhook URL pointing to your DCA Bot's signal endpoint. The Bot ID, Email Token, and Pair label can be set in the script's inputs and are automatically embedded into the alert JSON payload.
🔷 INDICATOR SETTINGS
Base Order Volume (USDT, ref) — Reference notional for the initial entry; used for virtual P&L calculation.
Safety Order Volume (USDT, ref) — Reference notional for each averaging-down order.
Max Safety Orders — Total number of averaging steps tracked in the virtual deal.
Price Step % (1st SO from base) — Percentage deviation from base price for the first safety order.
Martingale Step Coefficient — Multiplier applied to each successive deviation step.
Martingale Volume Coefficient — Size multiplier applied to each successive safety order (default 1.0 = all equal).
Require RSI cross-above for close — Toggle the dual-gate exit; off makes it pure %-profit close.
RSI Length / Threshold / Timeframe — Parameters for the exit RSI signal.
Min Profit % (from avg entry) — Minimum unrealized profit threshold required for the exit gate.
Limit by Date Range — Constrain virtual backtest to a specific date window.
Initial Capital (ref for % calc) — Reference capital base for percentage metrics in the stats card.
Visual Layer toggles — Show/hide base line, average line, TP line, SO ladder, signal markers.
Stats card / Watermark — Display layer controls for on-chart virtual backtest summary and branding.
Webhook — Bot ID, Email Token, and Pair label for DCA Bot signal routing.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Indicator
Better Volume Style Exhaustion - GuidedBetter Volume Style Exhaustion – Guided
Better Volume Style Exhaustion – Guided is an enhanced volume analysis indicator designed to identify buyer exhaustion, seller exhaustion, climax activity, churn, and participation shifts through color-coded volume behavior.
Rather than displaying raw volume alone, the indicator interprets price spread + relative volume + candle structure to help traders visualize when market participants may be losing strength.
This tool was built to help traders spot potential reversals, trend exhaustion, absorption, and institutional activity before price direction changes become obvious.
Features
Buyer Exhaustion Detection
Highlights situations where aggressive buying may be weakening.
Useful near:
Supply zones
Resistance levels
Extended bullish trends
Seller Exhaustion Detection
Identifies signs that selling pressure may be fading.
Useful near:
Demand zones
Support levels
Extended bearish trends
Climactic Volume Detection
Detects unusually high volume compared with recent market activity.
Helps reveal strong participation and possible turning points.
Churn / Indecision Recognition
Marks high volume with weak price progress.
Can indicate:
Absorption
Institutional activity
Consolidation
Buyer vs seller battles
Average Volume Reference
Displays average volume for quick comparison against current participation.
Integrated Help System
Built-in guide box and detailed tooltips explain each setting and signal directly inside the indicator.
Color Guide
🟠 Orange → Buyer exhaustion / Buying climax
🔵 Cyan → Seller exhaustion / Selling climax
🔴 Red → Strong bullish participation
🟢 Green → Strong bearish participation
🟣 Purple → Churn / absorption / indecision
⚪ Gray → Low market participation
🔵 Blue → Normal market activity
Best Use Cases
This indicator performs best when combined with:
Supply & Demand zones
Market structure shifts
Support / Resistance
Rejection candles
Trend continuation setups
Higher timeframe bias
Suggested workflow:
Identify a key area on the chart
Wait for price to enter that zone
Watch for exhaustion colors (Orange/Cyan)
Confirm with structure or price action
Execute only when confluence aligns
Important Note
This indicator does not predict market direction and should not be used as a standalone entry signal.
Volume behavior provides context. The strongest setups occur when volume signals align with structure, zones, and price action.
Designed for traders seeking cleaner visual information and earlier insight into potential market exhaustion.
Indicator
[3Commas] Silicon Vault Long - INTC DCA Strategy Silicon Vault Long — INTC DCA Strategy
🔷 What it does:
This strategy executes a long-only Dollar-Cost-Averaging approach on tokenized Intel (INTCUSDT) perpetuals, using an RSI-based exit gate to capture momentum-confirmed take-profits on overbought rebounds. It opens base orders continuously when no active deal exists, layers a structured 8-level safety order ladder during price drawdowns, and exits only when RSI crosses above the overbought threshold AND the position has accumulated the minimum profit target from the average entry. Calibrated for the volatility profile of tokenized semiconductor stocks, where structural bullish drift in mega-cap tech combines with intraday volatility unique to perpetual contracts on equity tokens.
- Base Order entry: nonstop — opens immediately when no active deal exists
- Safety Order ladder: 8 levels with cumulative deviation (step coef 1.22), all SOs equal size
- Exit: RSI(14) on 15m crosses above 70 AND profit ≥ 0.6% from average entry (dual-gate close)
- 2× leverage (isolated), no stop loss
🔷 Who is it for:
Traders looking to apply DCA logic to tokenized semiconductor / tech equity perpetuals.
Bot operators who automate execution through webhook integration with a DCA Bot.
Traders seeking exposure to mainstream tech stocks through perpetual contracts during structural bull phases.
Discretionary traders who want a signal framework with momentum-confirmed exits rather than fixed-percentage closes.
🔷 How does it work:
Long Entry: A base order opens whenever no active deal exists and the bar is confirmed within the configured window. There is no signal-based entry filter — the strategy reloads continuously, treating each new deal as a fresh DCA cycle. This is appropriate for instruments with sustained upward bias, as Intel's tokenized perpetual demonstrates during the reference period.
Short Entry: Not used — strategy is long-only by design.
Exit Management: The full position closes when two conditions align simultaneously — RSI(14, 15m) crosses above 70 (momentum-confirmed overbought signal) AND unrealized profit from average entry reaches the minimum threshold (default 0.6%). The dual gate prevents premature exits during shallow rebounds and prevents structural exits when profit is below threshold. The strategy carries no stop loss; invalidation is replaced by the depth of the safety order ladder (cumulative −8.88% from base across 8 levels) plus the underlying bullish drift assumption for tokenized equities.
🔷 Why it's unique:
Dual-gate exit logic — most DCA strategies use either a fixed-percentage TP or a signal-only exit. This combines them: the RSI signal acts as a momentum-confirmed exit trigger, but only fires when the position is also profitable above the minimum threshold. This filters out RSI-triggered exits that would close deep-averaged positions at a loss, ensuring every signaled close is both timing-confirmed and economically rational.
Semiconductor sector focus — calibrated for tokenized semiconductor stocks (Intel, AMD, NVDA proxies) where chip-cycle volatility creates the kind of intraday range that DCA bots monetize through structured averaging. Intel's specific volatility profile of 2025–2026 produced an ideal regime for this framework.
Bot Integration — entry and exit alerts ship with webhook-ready JSON payloads. Bot ID, Email Token, and pair label are exposed as inputs and automatically embedded into the alert message format.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Designed for a 15-minute chart on tokenized equity perpetuals with active intraday range. Best suited to mega-cap tech instruments with sustained bullish drift and regular pullback structure (Intel, AMD, MSFT, GOOGL, NVDA proxies). Less suited for sustained downtrends or instruments without structural upside bias — tokenized stocks have an embedded long-term upward expectation that crypto-native pairs do not always share.
Limitations: The strategy carries no stop loss. In sustained downtrends extending beyond the deepest safety order (−8.88% from base), the position holds unrealized loss until either the average is recovered through subsequent bounces or the deal is manually closed. The structural assumption is that the underlying tokenized equity will mean-revert upward over time due to its embedded bullish drift. If this assumption breaks (e.g., during a sustained semiconductor sector bear cycle), the strategy is materially exposed.
Backtesting & Demo Testing: The reference results were generated on Bitget USDT-M Perpetual Futures for INTCUSDT during a strong bullish phase for Intel stock (Jan 2025 — Mar 2026, 437 days). Performance during different equity market regimes (chip cycle downturns, broad tech corrections, rangebound periods) may differ significantly. Always validate on extended history and re-test across multiple instruments before deploying real capital. Demo-trade for at least one month before live deployment. Past performance is not indicative of future results.
Parameter Adjustments: Commission defaults to 0.06% (Bitget USDT-M taker). Adjust for your venue. Leverage is set to 2× isolated — increase or decrease per your risk tolerance. RSI threshold (70) and the minimum profit gate (0.6%) should be tuned per instrument volatility — tighter thresholds for lower-volatility tokenized stocks, wider for high-beta semiconductor tickers. SO step (0.5%) and step coefficient (1.22) define ladder depth; widen the step for instruments with bigger intraday swings.
🔷 STRATEGY PROPERTIES
Symbol: BITGET:INTCUSDT.P (Intel Corp tokenized perpetual on Bitget). Strategy is generic — works on any tokenized equity perpetual.
Timeframe: 15m chart.
Test Period: Jan 2025 — May 17, 2026.
Initial Capital: 500 USDT.
Order Size per Trade: Base Order 11.25 USDT, Safety Orders 7.5 USDT each (×8 = 60 USDT). Maximum cumulative position notional ≈ 71.25 USDT per deal. With 2× isolated leverage, margin requirement ≈ 35.6 USDT.
Commission: 0.06% taker (Bitget USDT-M Perpetual reference). Adjust per venue.
Slippage: 2 ticks — typical taker execution on liquid perpetuals.
Margin for Long and Short Positions: 50% (2× isolated leverage).
Indicator Settings: Default Configuration.
Base Order Volume: 11.25 USDT
Safety Order Volume: 7.5 USDT
Max Safety Orders: 8
Price Step (1st SO): 0.5%
Step Coefficient: 1.22
Volume Coefficient: 1.0
RSI Length: 14
RSI Threshold: 70
RSI Timeframe: 15m
Min Profit: 0.6% from average entry
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +55.96 USDT (+11.19%)
Max Drawdown: 16.75 USDT (3.13%)
Total Closed Trades: 320
Percent Profitable: 88.75% (284 / 320)
Profit Factor: 23.701
Reference PulseWire Pine backtest on BITGET:INTCUSDT.P (15m chart) for the available history window Jan 1 2025 — May 17 2026 (252 days). The exceptional win rate (88.75%) and Profit Factor (23.701) reflect the structurally bullish phase for Intel stock during the test window combined with the strategy's deep safety order ladder that absorbs intraday pullbacks. These metrics are regime-dependent and not expected to persist through semiconductor sector downturns or sustained bear cycles. Re-test on your own venue with venue-specific commission before live deployment.
🔷 How to Use It:
🔸 Adjust Settings: Set Base Order and Safety Order volumes proportional to your account size and risk tolerance. The default 11.25 / 7.5-USDT structure is calibrated for a 500-USDT test account with 2× leverage; scale linearly to your equity. RSI threshold can be tightened to 65 for more frequent exits or widened to 75 for fewer, larger captures. The SO step should be widened on instruments with higher intraday volatility.
🔸 Results Review: Verify Maximum Drawdown stays within your personal risk budget. The strategy is configured for a conservative per-deal risk envelope (max position 71.25 USDT, full ladder coverage at −8.88% from base), but extended history may shift this profile. Re-test on your own venue using venue-specific commission and slippage. The strategy's performance on the tested window is regime-dependent — performance during semiconductor sector downturns has not been validated. Demo-trade for at least one month before any live deployment.
🔸 Create alerts to trigger the DCA Bot: Two alert messages are exposed by the strategy — "Deal Start" fires on each new base order, and "Deal Close" fires when the dual-gate exit triggers. Configure both alerts in PulseWire with the webhook URL pointing to your DCA Bot's signal endpoint. Once configured, the strategy publishes the signal and the bot handles execution on the exchange autonomously.
🔷 INDICATOR SETTINGS
Base Order Volume (USDT) — Notional value of the initial entry per cycle.
Safety Order Volume (USDT) — Notional value of each averaging-down order; all SOs equal size by default.
Max Safety Orders — Total number of averaging steps available per deal.
Price Step % (1st SO from base) — Percentage deviation from base price for the first safety order.
Martingale Step Coefficient — Multiplier applied to each successive deviation step.
Martingale Volume Coefficient — Size multiplier applied to each successive safety order (default 1.0 = all equal).
Require RSI cross-above for close — Toggle the dual-gate exit; off makes it pure %-profit close.
RSI Length / Threshold / Timeframe — Parameters for the exit RSI signal.
Min Profit % (from avg entry) — Minimum unrealized profit threshold required for the exit gate.
Limit by Date Range — Constrain backtest to a specific date window.
Stats card / Watermark — Display layer controls for on-chart backtest summary and branding.
Webhook — Bot ID, Email Token, and Pair label for DCA Bot signal routing.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Strategy
