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
Neural Confluence Engine [Quantum Algo]Neural Confluence Engine
Neural Confluence Engine is a Pine Script v6 indicator that fuses eight independent technical factors — momentum, trend, VWAP position, RSI regime, MACD acceleration, ADX trend power, volume confirmation, and squeeze state — into a single weighted directional strength score on a 0–100 scale. Signals are gated by a user-configurable score threshold and an optional higher-timeframe trend filter before firing. The script is open-source. All signals are confirmed on bar close and do not repaint.
═══════════════════════════════════════════════════════════════════════
HOW IT WORKS
═══════════════════════════════════════════════════════════════════════
1. The eight factor model. Each bar, the engine evaluates eight independent factors and assigns each a normalized score between 0 and 1 based on its current state and intensity. Factors are scored separately for bullish and bearish directions.
2. WaveTrend Momentum (weight 1.5). Computes a custom oscillator from HLC3 smoothed by EMA of channel length (default 9) and signal length (default 12). Oversold reversals below -40 score 1.0; readings above zero score 0.8; positive crossovers below zero score 0.5.
3. EMA Alignment (weight 1.3). Triple EMA stack: fast (default 9) > slow (default 21) > baseline (default 50) scores 1.0 for full alignment. Fast > slow alone scores 0.6. Otherwise 0.
4. VWAP Position (weight 1.0). Price above VWAP by more than 1 ATR scores 1.0. Price above VWAP within 1 ATR scores 0.7. Below VWAP scores 0.
5. RSI Regime (weight 0.8). RSI above 60 scores 1.0. RSI between 50 and 60 scores 0.6. Below 50 scores 0.
6. MACD Histogram (weight 0.8). Rising histogram above zero scores 1.0. Positive but flat histogram scores 0.6. Negative histogram scores 0.
7. ADX Trend Power (weight 0.7). ADX above 40 scores 1.0. ADX between 25 and 40 scores 0.7. ADX below 25 scores 0.3 (penalty for chop, not zero).
8. Volume Confirmation (weight 1.0). Volume above 20-bar SMA combined with a directional candle close scores 1.0. Volume between 80% and 100% of average scores 0.4. Below scores 0.
9. Squeeze State (weight 1.2). Detects Bollinger Band compression inside Keltner Channels using length-20 standard deviation and ATR-10 envelopes. A "firing" bar (compression releases) with positive momentum scores 1.0. Compression without release scores 0.3.
10. Weighted aggregation and smoothing. Each directional factor is multiplied by its weight, summed, divided by total weight, and scaled to 0–100. The raw score is then smoothed with a 3-bar EMA to reduce single-bar noise. Bull score and Bear score are tracked separately. The net Neural Confluence Engine score is the difference between them.
═══════════════════════════════════════════════════════════════════════
SIGNAL TIERS
═══════════════════════════════════════════════════════════════════════
The script produces two signal tiers from the same scoring engine, allowing traders to choose between sensitivity and selectivity.
Standard signals (BUY / SELL). Fire on EMA ribbon color change — when the fast EMA crosses the slow EMA. These follow every directional shift regardless of score. Useful for systematic trend-following.
High-confluence signals (BUY+ / SELL+). Fire only when three conditions align simultaneously: an EMA cross occurs, the directional score exceeds the user-configurable threshold (default 60), and the higher-timeframe trend agrees with the signal direction. Used to filter for the most aligned setups.
Both signal tiers open trade management — entry, stop loss, three take-profit targets, and optional trailing stop after TP1.
═══════════════════════════════════════════════════════════════════════
TRADE MANAGEMENT
═══════════════════════════════════════════════════════════════════════
When a signal fires, the engine computes ATR-scaled risk levels relative to entry:
Stop loss: entry minus 1.5 × ATR (configurable multiplier 0.5–10).
TP1: 1R target (configurable risk-reward ratio).
TP2: 2R target.
TP3: 3R target.
When TP1 is reached, the stop converts to a trailing structure: SL moves to breakeven, then advances to TP1 level when TP2 is hit, then to TP2 level when TP3 is hit. The trailing stop also follows price at 0.5 × ATR distance after TP1. This can be disabled via the "Activate Trailing SL after TP1" toggle.
═══════════════════════════════════════════════════════════════════════
WHAT'S ACTUALLY DIFFERENT
═══════════════════════════════════════════════════════════════════════
◆ Eight-factor weighted composite, not a single trigger. Standard indicators fire on one condition — an EMA cross, an RSI level, a volume spike. The Neural Confluence Engine requires multiple independent factors to agree, weights them by historical reliability, and gates signals through a configurable score threshold. The trader can dial sensitivity from 20 (sensitive) to 95 (selective) without re-tuning eight separate sub-indicators.
◆ Two-tier signal architecture. Most indicators produce one stream of signals. This produces two from the same engine: standard ribbon flips for sensitive trend-following, and high-confluence variants gated by score + HTF agreement. Traders can use either tier independently or both in confluence.
◆ HTF agreement is built into the signal gate, not a separate filter. The higher-timeframe trend check is computed natively via request.security, auto-detected based on the chart timeframe (15m → 1H, 1H → 4H, 4H → D, D → W) or set manually. BUY+/SELL+ signals are blocked if HTF disagrees.
◆ Per-factor visibility in the dashboard. Each of the eight factors is individually viewable in real time — traders can see exactly which factors are contributing to the current score, rather than receiving a black-box signal. This is rare in confluence-style indicators which typically hide the sub-components.
◆ Trailing-stop ratcheting tied to TP hits. The trailing stop doesn't just follow ATR — it advances in tiers tied to take-profit milestones. After TP1, stop moves to breakeven. After TP2, to TP1. After TP3, to TP2. This protects profits at structurally meaningful levels rather than purely volatility-derived ones.
═══════════════════════════════════════════════════════════════════════
RECOMMENDED SETTINGS
═══════════════════════════════════════════════════════════════════════
Forex majors (EUR/USD, GBP/USD, USD/JPY) — 1H to 4H: Min Confluence Score 65, HTF Trend Filter on, SL Multiplier 1.5, TP R:R 1/2/3, HTF auto. Optimized for session-driven moves where structural levels respect institutional flow.
Crypto perpetuals (BTC, ETH, SOL) — 15M to 1H: Min Confluence Score 60, HTF Trend Filter on, SL Multiplier 2.0, TP R:R 1/2/3, HTF auto. Tuned for 24/7 markets with higher noise floors; the slightly wider stop accommodates increased wick volatility.
Gold (XAUUSD) — 1H to 4H: Min Confluence Score 70, HTF Trend Filter on, SL Multiplier 1.8, TP R:R 1/2/3.5, HTF set to Daily. Designed for the elevated wick activity around US session open and the tendency for sharp moves to develop after squeeze release.
Indices (SPX, NDX, DAX) — 5M to 1H: Min Confluence Score 55, HTF Trend Filter on, SL Multiplier 1.2, TP R:R 1/2/3, HTF auto. Tuned for cash-session structure and typical post-open momentum continuation.
Swing trading (any market) — 4H to Daily: Min Confluence Score 75, HTF Trend Filter on, SL Multiplier 2.5, TP R:R 1.5/3/5, HTF set to Weekly. Reduces noise to the highest-conviction setups only; wider targets to match the higher timeframe.
═══════════════════════════════════════════════════════════════════════
ALERTS & OUTPUTS
═══════════════════════════════════════════════════════════════════════
Alerts available:
BUY signal — ribbon flipped bullish (standard sensitivity)
SELL signal — ribbon flipped bearish (standard sensitivity)
BUY+ signal — high-confluence bullish setup
SELL+ signal — high-confluence bearish setup
Squeeze breakout — volatility compression released
TP1 reached — trailing stop activated
TP2 reached
TP3 reached
On-chart visuals:
EMA ribbon (5, 9, 13, 21, 34, 50) with fill bands colored by trend direction
VWAP plot with color reflecting price position
BUY / SELL / BUY+ / SELL+ signal labels at signal bars
Confluence score percentage label on BUY+ / SELL+ bars
Optional Entry / SL / TP1 / TP2 / TP3 horizontal lines for the most recent trade
TP-hit confirmation labels with checkmarks
Squeeze background highlight when compression is active
Diamond markers (⚡) on squeeze breakout bars
Optional momentum wave background colored by net score intensity
Optional candle coloring on signal bars
Multi-row dashboard with bull/bear scores, bias classification, HTF direction, factor states, trade status, and threshold setting
═══════════════════════════════════════════════════════════════════════
NOTES
═══════════════════════════════════════════════════════════════════════
Pine Script version: v6.
Repainting: All signals (BUY, SELL, BUY+, SELL+, squeeze breakouts, TP/SL hits) are evaluated on confirmed bar close and do not repaint. Higher-timeframe values use lookahead=barmerge.lookahead_off so HTF readings reflect only confirmed information available at signal time.
Compatibility: Works on all symbols and timeframes available in PulseWire. Tested on forex majors, crypto perpetuals, gold, and major indices. Functions on stocks but the volume confirmation factor may require threshold adjustment for low-volume tickers. Functions on continuous contracts and CFDs.
Open-source: This script is open-source. Clone, study, and modify it freely under the terms of PulseWire's House Rules. Republishing the source under a different name is not permitted.
Credits: This indicator's logic is independently developed. The component oscillators (WaveTrend, RSI, MACD, ADX, Bollinger Bands, Keltner Channels, VWAP) are standard public-domain technical analysis tools. The weighted-score aggregation methodology, two-tier signal architecture, ATR-tiered trailing stop progression, and per-factor dashboard are original implementations.
Disclaimer: This indicator is provided for educational and analytical purposes. Trading involves substantial risk of loss. Past performance does not guarantee future results. Position sizing and risk management are the trader's sole responsibility. Nothing in this script or description constitutes financial advice. Indicator
Squeeze Momentum Setup Assistant
BB/KC squeeze detection with MA trend signals, RSI filtering, and ATR-based stop/target levels.
Squeeze Momentum Setup Assistant is a hybrid volatility and trend-confirmation tool designed to help traders identify potential breakout setups, trend shifts, and ATR-based risk levels directly on the chart.
The indicator combines Bollinger Bands and Keltner Channels to detect squeeze conditions. A squeeze occurs when the Bollinger Bands contract inside the Keltner Channels, suggesting a period of reduced volatility and possible energy buildup.
When the squeeze releases, the script uses a simple momentum calculation to classify the potential breakout direction:
- SqueezeUp appears when volatility releases with positive momentum.
- SqueezeDown appears when volatility releases with negative momentum.
In addition to squeeze detection, the indicator includes a moving average crossover system with RSI filtering:
- A Call signal appears when the short moving average crosses above the long moving average while RSI remains below the overbought zone.
- A Put signal appears when the short moving average crosses below the long moving average while RSI remains above the oversold zone.
For each Call or Put setup, the indicator automatically calculates ATR-based stop and target levels. This helps traders visualize potential risk and reward zones without manually measuring volatility.
Key features:
- Bollinger Band and Keltner Channel squeeze detection
- Squeeze release direction labels
- Moving average crossover signals
- RSI-based signal filtering
- ATR-based stop loss and target projections
- Visual trend and volatility structure on the chart
This tool is designed for traders who want to combine volatility compression, momentum release, trend confirmation, and risk planning in one visual framework.
Best used with market structure, VWAP, support and resistance, volume confirmation, and higher timeframe trend context.
Important:
This indicator does not predict future price movement and should not be used as a standalone trading system. Squeeze releases can fail, moving average crossovers can lag, and ATR levels are only volatility-based reference zones. Always use proper risk management and additional confirmation.
A hybrid squeeze and trend setup assistant that combines BB/KC volatility compression, momentum release direction, MA crossover signals, RSI filtering, and ATR-based stop/target levels.
How it works:
The indicator first compares Bollinger Bands against Keltner Channels to detect volatility compression. When the Bollinger Bands move inside the Keltner Channels, the market is considered to be in a squeeze.
When the squeeze releases, momentum is used to estimate the possible breakout direction.
Separately, the script evaluates short and long moving average crossovers with RSI filtering to identify possible Call and Put setups.
When a Call or Put condition appears, the indicator calculates projected stop and target levels using ATR, allowing traders to quickly visualize volatility-adjusted risk zones.
Inputs:
BB Length:
Controls the Bollinger Band lookback period.
BB Multiplier:
Controls the width of the Bollinger Bands.
KC ATR Length:
Controls the ATR length used for the Keltner Channel calculation.
KC Multiplier:
Controls the width of the Keltner Channels.
Momentum Length:
Controls the lookback period used to estimate squeeze release direction.
Short MA Length:
Controls the fast moving average used for crossover signals.
Long MA Length:
Controls the slow moving average used for crossover signals.
RSI Length:
Controls the RSI filter used to avoid extreme overbought or oversold entries.
ATR Length for SL/Target:
Controls the ATR calculation used for stop and target projections.
Target Multiplier:
Defines how far the projected target is placed from the signal price using ATR.
Stop Loss Multiplier:
Defines how far the projected stop is placed from the signal price using ATR.
Indicator
Volatility Compression Release Map [AGPro Series]Volatility Compression Release Map
🧠 Core Idea
Is the market quietly building expansion energy, or has the release already failed back into the shelf?
📌 Overview / What it does
Volatility Compression Release Map is a volatility regime and compression shelf visualization tool built to identify quiet range contraction, release attempts, fake releases, and expansion quality.
The script maps a projected compression shelf when volatility rank and range size contract together. It then tracks whether price releases away from that shelf, returns back inside it, or continues to hold expansion pressure.
This script does not predict future price direction, automate trades, or produce guaranteed buy/sell signals. It is designed as a structured chart-reading layer for volatility compression, release quality, and contextual risk.
🎯 Purpose & Design Philosophy
The script was built for traders who care about the transition between quiet markets and expansion phases.
Many charts look calm before movement starts. The challenge is not simply seeing a tight range, but understanding whether that range is still building energy, whether the release is active, or whether the move has already failed back into the shelf.
The design philosophy is simple: reduce volatility noise into a readable map, preserve the important shelf story, and make the current regime understandable at first glance.
⚡ Why This Script Is Different
Most tools focus on breakout arrows, squeeze dots, or raw volatility bands.
This script does NOT treat every contraction as an immediate trade signal and does NOT frame every expansion candle as confirmation.
Instead, it builds a full compression-to-release map: the shelf, volatility rank, range size, release direction, fake-release risk, quality score, right-side state labels, and a compact AG Pro panel all work together.
⚙️ Methodology
1. Context Detection
The script evaluates ATR rank, recent range size, and whether price is still inside a quiet shelf.
2. Shelf Mapping
When compression conditions align, the active range is stored and projected forward as a compression shelf.
3. Release Evaluation
The script checks whether price leaves the shelf with enough candle body expansion to qualify as a release attempt.
4. Failure Tracking
If price quickly returns into the shelf during the fake-release window, the state changes to fake release.
5. Visual Output
The chart displays a projected shelf, dotted rails, a centered shelf-quality label, event labels, right-side state tags, and a compact AG Pro panel.
🗺️ How to Read the Chart
Zones represent the active compression shelf.
The shelf label shows the current shelf quality score using a compact `SHELF | Q` format.
Green/teal visual states generally indicate constructive expansion or defended release behavior.
Pink visual states highlight failed release or adverse volatility behavior.
Indigo/accent visuals represent compression and neutral shelf structure.
The panel summarizes compression state, release direction, volatility rank, range size, quality score, shelf range, and next context.
🚦 Signals & States
• COMPRESSION BUILD → a quiet shelf is forming and volatility is compressed
• RELEASE ACTIVE → price has moved away from the shelf with sufficient body expansion
• FAKE RELEASE → price returned back into the shelf after a release attempt
• SHELF WATCH → a shelf exists but the market has not produced a clean active release
• WAIT COMPRESSION → no valid compression shelf is currently active
🔔 Alerts Logic
Compression Build alert triggers when a new volatility compression shelf is detected.
Compression Release alert triggers when price releases from the active shelf with enough candle body expansion.
Fake Release alert triggers when price returns back into the shelf within the defined fake-release window.
Alerts are attention markers. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when low volatility rank, compact range size, a visible shelf, and a strong release candle align.
The context becomes weaker when price fails back into the shelf shortly after release.
📊 When to Use
• Before potential expansion phases
• During quiet range compression
• Around breakout preparation zones
• When evaluating whether a move is expanding or failing
• On liquid markets where volatility structure is meaningful
⚠️ When NOT to Use
• Extremely illiquid symbols
• Very noisy low-timeframe charts
• News shock environments where volatility structure changes suddenly
• Markets with unreliable volume or large gaps
• Situations where a single indicator is being used without broader context
🎛️ Key Inputs
• Compression Lookback → controls the range window used to detect the shelf
• Volatility Rank Lookback → controls how ATR rank is measured
• Compression Rank Max → changes how selective compression detection is
• Range ATR Max → limits how wide a valid shelf can be
• Release Body ATR Min → defines how strong a release candle must be
• Fake Release Window → controls how quickly a release failure is detected
• Visual settings → control shelf projection, labels, panel, theme, and font sizes
🖥️ Interface & Visual Design
The interface is designed to look clean, premium, and publication-ready.
The shelf is the main visual anchor. Event labels are intentionally limited so the chart does not become crowded.
The AG Pro panel uses a merged blue header row and summarizes the state without covering the main chart story.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Locate the active compression shelf.
3. Check whether price is inside, releasing, or failing back into the shelf.
4. Compare the quality score with the visual structure.
5. Use broader market context before making any decision.
🔍 Interpretation Guidelines
Compression is not direction.
A shelf shows where volatility has contracted.
A release shows that price moved away from the shelf with expansion pressure.
A fake release shows that the market rejected the expansion and returned to the compression area.
The strongest interpretations come from combining the shelf, state, quality score, and surrounding market structure.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not guarantee profitable trades.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Timeframe differences can change how compression and release behavior appears.
High volatility news events may reduce the usefulness of shelf-based interpretation.
Low-liquidity markets can produce misleading shelves and sudden false releases.
The script is rule-based and should always be interpreted within broader market context.
🧠 Market Context Notes
Volatility often contracts before expansion, but compression alone does not define direction.
The shelf helps identify where the market has stored recent range energy.
Release quality helps separate stronger expansion attempts from weak movement outside the range.
🧾 Use Case Examples
When price remains inside a shelf while volatility rank is low, the market may still be building energy.
When price leaves the shelf with strong body expansion, the script marks release behavior.
When price returns into the shelf quickly, the script flags a fake-release context.
🧱 System Philosophy
AGPro Series tools are built to turn complex market behavior into structured visual maps.
The goal is not to simplify markets into certainty, but to make important context easier to read.
🔐 Non-Promise Statement
No script can know the future.
No signal is certain.
No visual state should be treated as a guaranteed outcome.
📉 Risk Disclosure
Trading involves risk.
Markets can move unexpectedly.
Users are responsible for their own decisions, risk management, and trade execution.
This script does not provide financial advice.
📚 Educational Note
This tool is intended for educational and analytical use. It can help traders study volatility compression, release behavior, fake-release risk, and shelf-based market context.
Indicator
Keltner Squeeze Release Planner [AGPro Series]# Keltner Squeeze Release Planner
🧠 Core Idea
Is volatility compression turning into a clean Keltner Channel release, or is price still trapped inside the squeeze?
📌 Overview / What it does
Keltner Squeeze Release Planner is a volatility compression and expansion decision-support script built around Keltner Channels.
The script detects compressed Keltner width, evaluates whether price releases beyond the channel with enough expansion quality, scores the release from 0 to 100, and maps an expansion corridor with target rails and failure context.
It does not predict price direction, automate trading, or provide guaranteed signals. It organizes squeeze, release quality, volatility rank, direction bias, and action state into a cleaner workflow.
🎯 Purpose & Design Philosophy
Many traders can see a breakout after it happens, but the difficult part is separating real volatility expansion from a weak push outside the channel.
This script was built for traders who want a structured way to read Keltner squeeze behavior, release strength, and early failure risk.
The design supports patience during compression and cleaner observation when price finally leaves the channel.
⚡ Why This Script Is Different
Most Keltner tools draw the channel and leave interpretation to the user.
This script does NOT treat every channel break as meaningful.
Instead, it evaluates compression depth, expansion ratio, close pressure, candle body quality, relative volume, and basis slope before marking a release as READY.
⚙️ Methodology
1. Keltner Channel Mapping
2. Compression Detection
3. Release Edge Evaluation
4. Expansion Quality Scoring
5. Corridor And Failure Mapping
6. Panel And Alert Output
🗺️ How to Read the Chart
The Keltner Channel shows the active volatility envelope around price.
Compression shading marks periods where channel width is low relative to recent history.
BULL RELEASE and BEAR RELEASE labels appear when price leaves the channel with enough release quality.
The release corridor projects possible expansion space after a qualified release.
The panel summarizes Squeeze, Release Score, Volatility, Direction Bias, and Action.
🚦 Signals & States
• READY → A qualified Keltner squeeze release has formed.
• MONITOR → A release context is active and should be observed.
• WAIT → Compression may exist, but release quality is not confirmed.
• INVALIDATED → A release failed back into the channel context.
• BLOCKED → The script cannot define a valid Keltner context.
🔔 Alerts Logic
Bullish Keltner Squeeze Release Ready triggers when price releases above the upper Keltner Channel after compression with enough score quality.
Bearish Keltner Squeeze Release Ready triggers when price releases below the lower Keltner Channel after compression with enough score quality.
Keltner Compression Active triggers when channel width is low enough to qualify as squeeze context.
Keltner Squeeze Release Failed triggers when an active release loses quality and moves back into the failure area.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The release score combines compression depth, expansion ratio, close pressure beyond the channel, candle body quality, relative volume, and basis slope.
When these conditions align, the release context becomes stronger.
📊 When to Use
• Markets moving from low volatility to expansion
• Breakout environments
• Consolidation-to-trend transitions
• Intraday or swing contexts where volatility contraction matters
⚠️ When NOT to Use
• Extremely illiquid symbols
• Random high-noise chop
• News spikes with unstable spreads
• Symbols where Keltner width is distorted by abnormal candles
🎛️ Key Inputs
• Keltner Basis Length → controls the EMA basis of the channel.
• ATR Length → controls channel width and volatility normalization.
• Keltner ATR Multiplier → adjusts how wide the channel is.
• Squeeze Threshold → defines how deep compression must be.
• Minimum Ready Score → controls how selective READY releases are.
• Projection Bars → controls how far the corridor extends.
• Visual settings → control labels, channels, zones, panel, and chart density.
🖥️ Interface & Visual Design
The script uses a compact AG Pro panel to make the current state readable at a glance.
The visual hierarchy is designed to keep the chart clean: channel context first, release label second, corridor and targets third.
Default settings are tuned for readable publication screenshots without hiding the core volatility story.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether compression is active.
3. Wait for a qualified release label.
4. Review the corridor and target rails.
5. Watch whether price holds or fails back into the channel.
🔍 Interpretation Guidelines
A READY release means volatility expansion conditions aligned according to the script rules.
It does not mean price must continue.
A weak or failed release means the channel break lost quality and should be interpreted within broader market context.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a buy or sell signal generator.
It is not an automated trading system.
It does not guarantee breakouts, continuation, or reversals.
⚠️ Limitations & Transparency
Keltner behavior can change across symbols, sessions, and timeframes.
Compression may last longer than expected.
Strong news events can create release signals that behave differently from normal volatility expansion.
The script should be used with broader structure, liquidity, and risk context.
🧠 Market Context Notes
Keltner squeeze behavior is most useful when volatility has contracted enough to create a visible transition point.
The best contexts often combine compression, clean channel release, participation, and enough room for expansion.
🧾 Use Case Examples
When price compresses inside the Keltner Channel and then closes beyond the upper band with strong expansion, the script may mark a bullish release.
When price breaks below the lower band after compression and the release score is strong enough, the script may mark a bearish release.
When price breaks out but quickly moves back into the channel, the release can lose quality.
🧱 System Philosophy
This script is part of the AGPro Series approach: clean visual context, practical scoring, and decision-support states instead of noisy prediction labels.
🔐 Non-Promise Statement
No script can provide certainty.
No signal should be treated as guaranteed.
All outputs are rule-based analytical markers.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, and position sizing.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
The purpose of this script is to help users study volatility compression and release behavior through a structured Keltner Channel framework.
Indicator
[ A L P H A X ] VertexAlphaX Vertex — Volatility Squeeze Release, HTF Regime, Smart Confluence & Session-Ready Signals
AlphaX Vertex is a Pine Script v6 overlay indicator built around a classic volatility squeeze: Bollinger Bands fully inside Keltner Channels signal a coil in volatility; the first bar of expansion is the release. Vertex layers higher-timeframe regime, directional energy (+DI/−DI and ADX), RSI momentum with an optional hook, optional MACD histogram alignment, and optional volume — then separates hard gates from a compact soft confluence score so filters actually change outcomes. Factory defaults are tuned for responsive intraday work (including spot/CFD XAUUSD on 1-minute); every setting remains fully customizable. Visuals follow the AlphaX palette — yellow-green for bullish continuity, red for bearish, amber squeeze highlights, and a dark compact dashboard — consistent with AlphaX Titan / OMEGA styling.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📸 Visual Overview
AlphaX Vertex on chart — optional squeeze bar tint, triangle markers at confirmed releases with optional V↑ / V↓ score labels (soft score out of 3), optional Bollinger and Keltner plots, and a multi-row VERTEX dashboard showing coil state, HTF regime, bridge check, ADX, DI, RSI, and session gate.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔬 Squeeze Engine — Coil and Release
The core geometry is the TTM-style relationship between Bollinger Bands and Keltner Channels:
Coil (squeeze ON): The entire Bollinger envelope sits inside the Keltner envelope — volatility has contracted and energy is stored.
Release: The first bar where that condition ends — Bollinger expands outside Keltner again — is the volatility release event ( release_ok ).
Minimum coil length: Vertex counts how many consecutive bars stayed in the coil; releases shorter than Min Squeeze Bars are ignored to reduce one-bar noise (especially important on fast timeframes and symbols with spiky micro-ranges).
Inputs include Bollinger length and standard-deviation multiplier, Keltner length and ATR multiplier, and minimum coil bars. Optional Highlight Squeeze Bars tints bars during the coil; optional Plot BB & Keltner draws both channels for full transparency.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📈 Direction on Release — Keltner Basis Bias
On the release bar, directional bias for long vs short is anchored to the Keltner basis (EMA midline):
Long-side release — price closes at or above the Keltner basis when the coil fires.
Short-side release — price closes at or below the Keltner basis when the coil fires.
This is the same directional cue used in textbook squeeze-plus-basis workflows: expansion plus which side of the midline price reclaims on the signal bar.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🌐 Higher-Timeframe Regime — Hard Gate (No Lookahead)
When Use HTF Regime Filter is enabled, Vertex pulls the selected HTF without lookahead ( barmerge.lookahead_off ) and applies a strict regime test before any long or short can qualify:
Bullish HTF — HTF close is above the HTF EMA and the EMA is sloped upward over your slope lookback.
Bearish HTF — HTF close is below the HTF EMA and the EMA is sloped downward over the same lookback.
Neutral — If neither bull nor bear condition is satisfied, Vertex blocks both directions for that bar (no cherry-picking HTF as a partial score — it is a real veto).
The dashboard shows regime ( BULL / BEAR / NEUTRAL / OFF ), the active HTF string, an HTF filter row ( Allows LONG , Allows SHORT , or Blocks both ), and a Bridge row: Chart < HTF when your chart timeframe is strictly lower than the selected HTF (the intended use case), or Chart >= HTF as a warning that you are not stepping up to a higher timeframe.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💪 ADX and +DI / −DI — Hard Gates
When enabled, these are mandatory — not soft “minus one point” filters:
ADX minimum — Optional floor on ADX to avoid signaling releases in dead, non-trending chop.
+DI / −DI bias — Longs require +DI > −DI when the gate is on; shorts require −DI > +DI.
The live dashboard shows ADX value (and whether the gate is off) plus the current DI+ / DI− readout.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 RSI, MACD Histogram, Volume — Soft Confluence (Score / 3)
After all squeeze, session, HTF, ADX, and DI conditions pass for the candidate direction, Vertex scores a separate soft module:
RSI — Configurable length and bull/bear levels; optional RSI Hook demands a crossover or short ramp in the trade direction so momentum is not stale.
MACD histogram — Optional confirm: histogram must agree with direction (or be building in that direction when enabled).
Volume — Optional confirm versus a volume moving average and multiplier; when volume confirm is off , the volume slot still contributes to the soft score as a pass-through so Min Confluence remains intuitive (see tooltips in script).
Min Confluence is the minimum soft score (1–3) required in addition to all hard gates. Raising it tightens entries; lowering it relaxes the model.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🕐 Session Gate (UTC)
Optional London, London/NY overlap, and NY afternoon windows in UTC (same convention style as AlphaX Titan Signal). When disabled, structure is evaluated around the clock; when enabled, signals outside selected windows are blocked.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 Markers, Labels, and Execution Timing
Triangles — Small green up-triangles below the bar for qualifying longs; small red down-triangles above for qualifying shorts.
Score labels — Optional V↑ n/3 / V↓ n/3 labels offset by ATR show the soft score on the signal bar.
Shift markers right — Optional 0–3 bar horizontal offset for plotshapes (and aligned labels) e.g. to visualize “next bar” execution while alerts still reference the true signal bar.
Cooldown — Minimum bars between signals to reduce duplicate fires in the same impulse.
Bar-close logic — Conditions use completed bar data (OHLC, pivot-style squeeze state, etc.). The signal bar is the first bar where the full rule set is satisfied; intrabar entries at the open of that bar are not implied by the math.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📋 Live Dashboard (Compact Table)
VERTEX — Brand header row.
Squeeze — COIL vs OPEN (expansion) state.
HTF — BULL / BEAR / NEUTRAL / OFF plus the configured HTF timeframe label.
HTF filter — Which direction the HTF gate currently allows, or whether both are blocked.
Bridge — Whether chart TF is strictly below the HTF or not.
ADX — Live ADX with pass/fail coloring.
DI+/DI− — Directional bias numerically.
RSI — Live RSI reading.
Session — OK or BLOCK when the session gate is used.
Dashboard corner is selectable (Top Right, Top Left, Bottom Right, Bottom Left). Default is Bottom Left to reduce overlap with markers near the right-edge price scale.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚡ Key Features
🔬 TTM-style squeeze — Bollinger inside Keltner for coil; first expansion bar = release; minimum coil length filter
Keltner basis bias — Long/short qualification tied to close vs EMA midline on the release bar
🌐 HTF regime gate — request.security with no lookahead; bull/bear/neutral with neutral blocking both sides
💪 ADX & +DI/−DI hard gates — Optional but structurally enforced when toggled on
📊 RSI + optional hook — Momentum filter with configurable levels
📉 Optional MACD histogram — Soft-score confirmation
📦 Optional volume — Soft-score vs volume MA
🎯 Soft score /3 — Separate from hard gates; Min Confluence control
🕐 UTC session filter — Optional London / overlap / NY afternoon
⏱ Signal cooldown — Limits back-to-back markers
📋 9-row dashboard — Real-time regime, bridge, ADX, DI, RSI, session
🔔 3 alert conditions — Vertex Long, Vertex Short, raw volatility release (unfiltered)
✅ Non-repainting historical signals — Confirmed bar-close style logic (standard indicator execution)
🎨 AlphaX theme — #A7D129 bull, #E43636 bear, dark table chrome
📌 Pine v6 — Built for PulseWire Pine Script v6
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚙ Settings Reference
Squeeze Engine
BB Length — Bollinger period (default 18 in factory XAUUSD M1 preset; full range 5–100)
BB StdDev Mult — band width multiplier
Keltner Length — basis/ATR channel period
Keltner ATR Mult — channel width vs ATR
Min Squeeze Bars — minimum consecutive coil bars before a release counts (default 6 in XAUUSD M1 factory preset)
HTF Regime
Use HTF Regime Filter — master switch for HTF veto
HTF Timeframe — e.g. 15, 60, 240, D (factory default 15 for 1m chart bridging)
HTF EMA Length — regime EMA on that timeframe (factory default 21)
HTF EMA Slope Lookback — bars back on HTF for slope direction (factory default 4)
Direction
DMI / ADX Length — DI and ADX calculation period
Require ADX ≥ Minimum — hard gate toggle
ADX Minimum — threshold when gate is on
Require +DI / −DI Bias — hard gate toggle
RSI Length — momentum oscillator period
Bullish / Bearish RSI Level — directional thresholds
Require RSI Hook — momentum freshness filter
MACD Histogram Confirm — include MACD in soft score when on (12,26,9 MACD)
Volume
Volume Confirm — add volume-vs-MA requirement to soft score when on
Volume MA Length — lookback for average volume
Volume vs MA Mult — spike multiplier
Session
Enable Session Gate (UTC) — master switch
London 08:00–13:00 UTC — sub-window
London/NY Overlap 13:00–17:00 UTC — sub-window
NY Afternoon 17:00–21:00 UTC — sub-window
Signals
Min Confluence (score / 3) — soft-score threshold after all hard gates
Cooldown Bars — spacing between allowed signals
Show Long / Short Markers — plotshape toggles
Show Confluence Score on Marker — V↑ / V↓ labels with n/3
Display
Highlight Squeeze Bars — barcolor tint during coil
Plot BB & Keltner — show both channel sets
Compact Dashboard — table on/off
Dashboard Corner — table anchor
Shift ▲▼ markers right (bars) — plotshape/label offset 0–3
Label Offset (× ATR) — vertical label distance from bar extreme
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🚀 How to Trade with AlphaX Vertex — Step by Step
Step 1 — Confirm squeeze state
Watch the dashboard Squeeze row: COIL means volatility is compressed; you are hunting the OPEN transition to expansion.
Optional: enable BB/Keltner plots to visually verify the envelope relationship.
Step 2 — Align with higher timeframe
If HTF filter is on, require BULL regime for long-only bias and BEAR for short-only bias. NEUTRAL blocks both — stand aside until the HTF clears.
Prefer Bridge: Chart < HTF so the regime is truly higher than your execution chart.
Step 3 — Respect directional energy
With ADX gate on, avoid releases when ADX is below your floor — the move may lack trend strength.
With DI gate on, ensure +DI leads for longs and −DI leads for shorts.
Step 4 — Wait for the scored release
After release and Keltner bias, soft score must meet Min Confluence : RSI hook/levels, optional MACD, optional or pass-through volume slot.
Triangles and optional V↑/V↓ n/3 labels mark the bar where the stacked logic first succeeds together.
Step 5 — Session and repetition control
Apply session filter if you only trade specific liquidity windows.
Use cooldown to avoid over-trading the same expansion cluster on very fast timeframes.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔔 Alert Conditions
Vertex Long — full long stack: squeeze release, long bias, all active hard gates, soft score ≥ Min Confluence, cooldown respected, single direction resolution if both sides conflict
Vertex Short — full short stack (mirror of long)
Vertex Raw Release — volatility coil ended (expansion began) without the full Vertex filter stack — diagnostic for “something fired” even when regime/momentum vetoes
Alert messages are fixed strings suitable for manual routing; add {{ticker}} and {{interval}} in PulseWire’s alert message editor if your workflow requires them.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
👥 Who This Is For
🥇 Volatility breakout and squeeze traders — systematic coil → expansion framing
📉 Forex, metals, indices, and liquid CFDs — any symbol where compress-expand behavior matters
⏱ Scalpers through swing traders — parameters and HTF bridge scale with your timeframe choices
🧠 Traders who want explicit hard vs soft logic — regime and trend-energy gates separate from RSI/MACD/volume confluence score
🔔 Alert-driven workflows — filtered long/short plus raw-release diagnostic
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📝 Notes
Vertex is an indicator , not a strategy — it does not place orders; it visualizes conditions and exposes alertconditions.
The squeeze release uses the relationship between completed bar ranges (high/low/close) inside the channel math; treat the marker bar as confirmed at bar close in line with standard Pine indicator behavior.
Raising Min Squeeze Bars reduces false coils on noisy feeds; lowering it increases sensitivity.
Turning MACD Histogram Confirm off and lowering Min Confluence increases signal frequency; tightening HTF, ADX, DI, and session does the opposite.
Neutral HTF regime ( Blocks both ) is intentional — it prevents trading “squeeze only” when higher-timeframe bias is undefined.
The statistical target and Fibonacci extension sections in other AlphaX products are not part of Vertex; Vertex focuses on coil, release, regime, energy, and scored momentum only.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are derived from price and volume data via mathematical rules; profitability is not guaranteed. Past behavior of volatility coils does not guarantee future outcomes. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before trading. The author accepts no responsibility for losses arising from use of this tool.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Built for traders who want squeeze releases vetted by higher-timeframe bias, trend energy, and a transparent momentum score — AlphaX Vertex: coil, release, confluence.
Indicator
Market PressureMarket Pressure — Description & Usage
Market Pressure is a normalized oscillator designed to characterize whether buying or selling pressure is dominating the market, and how persistent that pressure is over time. It does not attempt to predict price or generate signals. Instead, it measures the consistency of directional behavior by combining where price closes within each bar, the strength of the candle body, the level of volume participation, and alignment with trend. These components are smoothed and scaled into a range between -100 and +100, allowing the user to quickly assess who is in control and how strong that control is relative to recent conditions.
Values above zero indicate net buying pressure, while values below zero indicate net selling pressure. The most important region is the neutral zone around zero, defined by the user, which represents a balanced market where neither side has clear control. When the histogram remains within this neutral range, price action is typically rotational and prone to false moves. When the indicator moves and sustains itself outside of that range, it reflects a shift toward directional control. Strong readings toward the extremes suggest persistent and coordinated pressure, often associated with trend continuation rather than random movement.
This indicator is best used as a contextual filter rather than an entry tool. When Market Pressure is positive and holding above the neutral boundary, it suggests focusing only on long opportunities and avoiding shorts. When it is negative and holding below the neutral boundary, the opposite applies. When it is inside the neutral zone, the most effective action is often to stand aside, as the market lacks a dominant participant. The behavior of the histogram also provides insight into the quality of a move. Expanding values indicate strengthening pressure, while contracting values suggest that the dominant side may be losing control.
Because the indicator is normalized using a rolling lookback window, all readings are relative to recent history rather than fixed absolute levels. This allows it to adapt across different markets and timeframes, but also means that extremes represent the strongest pressure observed within that window, not an absolute threshold. The result is a flexible tool that highlights when the market is trending with conviction, when it is losing momentum, and when conditions are best avoided altogether. Indicator
Squeeze Momentum Indicator [AGPro Series]Squeeze Momentum Indicator
🔷 OVERVIEW
Squeeze Momentum Indicator is a lower-pane volatility and momentum engine built for traders who want more structure than the classic squeeze workflow usually provides.
At its core, the script studies a very specific sequence in market behavior:
volatility compression,
compression release,
directional pressure after release,
and whether that pressure is strengthening, fading, or slipping back toward balance.
Most squeeze-style indicators stop at a simple yes/no squeeze condition and a basic momentum histogram around the zero line. This script is designed to go further without becoming noisy. It keeps the familiar Bollinger Band vs Keltner Channel compression logic that many traders already understand, but it rebuilds the momentum side around a different internal model so the post-squeeze move can be judged with more nuance.
The result is a more structured answer to an important practical question:
when volatility finally expands, is the move actually carrying useful directional pressure, or is it only a shallow release that may lose energy quickly?
🔷 WHAT THIS SCRIPT DOES
This indicator combines four layers into one compact oscillator workflow:
1. Volatility compression detection
It identifies squeeze conditions using Bollinger Band and Keltner Channel relationship logic.
2. Compression depth tracking
It does not only ask whether a squeeze exists. It also tracks how tightly the Bollinger envelope sits inside the Keltner envelope, which helps frame how compressed the market really is.
3. ATR-normalized momentum pressure
Instead of using the classic legacy-style squeeze momentum formula, this script blends:
- displacement from equilibrium
- directional velocity of that equilibrium
- path efficiency of recent price travel
This creates a momentum engine that is designed to evaluate the quality of directional pressure after release, not just whether a histogram is above or below zero.
4. Adaptive expansion / fade context
The script builds dynamic balance and burst zones around momentum, then classifies whether price is:
- compressing
- releasing with bullish pressure
- releasing with bearish pressure
- continuing directionally
- fading after an elevated move
- rotating back toward balance
This makes the tool especially useful for traders who want squeeze timing, but do not want to treat every release as equally meaningful.
🔷 WHAT MAKES THIS DIFFERENT FROM MOST SQUEEZE INDICATORS
The squeeze concept is widely known, but many public versions still revolve around the same structure:
a binary compression state and a very simple momentum histogram.
This script is intentionally different in several ways:
• It treats squeeze as a volatility gate, not as the full identity of the indicator.
• It uses an original blended momentum model rather than reusing the standard linear-regression style momentum formula associated with many older versions.
• It adds adaptive momentum zones so the oscillator can distinguish between ordinary movement and higher-energy expansion.
• It marks not only burst phases, but also momentum fade phases, which helps separate continuation pressure from cooling pressure.
• It includes restrained release labels, release boxes, and a compact information panel so the visual output stays premium and readable instead of overloaded.
In short, this script is not trying to be another cosmetic variation of an old squeeze formula.
Its objective is narrower and more analytical:
measure the quality of post-compression directional pressure in a clean lower-pane environment.
🔷 HOW THIS SCRIPT IS DIFFERENT FROM OTHER AGPRO TOOLS
This part matters because originality and role separation inside a script catalog are important.
Within the AGPro Series, this indicator is intentionally separate from nearby concepts:
• AG Pro Bollinger Bands Squeeze Map
That script is an on-chart volatility regime map built to show how compression and release behave directly on price.
This script is different.
It is a dedicated lower-pane momentum-quality engine focused on what happens after compression begins to resolve.
• AG Pro ROC Momentum Shift Map
That script studies momentum regime transitions through ROC behavior.
It is a broader momentum-state classifier.
This script is narrower by design and specifically anchored to squeeze-release behavior.
• AG Pro Structural Momentum Oscillator
That script evaluates momentum through internal price structure and bar behavior.
This script does not try to read momentum that way.
Its purpose is to organize volatility compression and post-compression expansion into a squeeze-specific workflow.
That distinction is central to this release:
this is not a re-labeled overlap script.
It is a purpose-built squeeze momentum tool with its own logic, its own visual model, and its own analytical role.
🔷 HOW THE ENGINE WORKS
The script begins with a standard compression framework:
- Bollinger Bands define the volatility envelope.
- Keltner Channels define the containment envelope.
- When the Bollinger structure contracts inside the Keltner structure, squeeze conditions are present.
From there, the script moves into a separate momentum model.
Instead of relying on one traditional oscillator formula, the engine blends three components:
1. Displacement from equilibrium
Measures how far price has moved from its equilibrium anchor relative to ATR.
2. Equilibrium velocity
Measures whether that equilibrium is moving directionally and how quickly.
3. Path efficiency
Measures how efficiently price has traveled over the selected lookback instead of simply how far it moved.
Those three components are blended into a normalized momentum-pressure read, then smoothed for cleaner interpretation.
The script then builds two adaptive internal thresholds:
- a balance band
- a burst band
These dynamic bands help classify whether momentum is:
- quiet / balanced
- directional but ordinary
- strong enough to qualify as a burst
- elevated but beginning to fade
This adaptive structure matters because a fixed threshold often reads very differently across symbols, volatility regimes, and timeframes.
🔷 VISUAL DESIGN
The visual design is built around premium clarity rather than signal overload.
The pane includes:
• A momentum histogram with four directional states
- bullish expansion strengthening
- bullish pressure fading
- bearish expansion strengthening
- bearish pressure fading
• Adaptive upper and lower momentum zones
These show where momentum is operating in balance versus expansion territory.
• Squeeze markers on the zero line
These quickly show whether volatility is still compressed or has just released.
• Optional release boxes
These create rectangular burst zones that make active expansion phases easier to scan visually.
• Restrained release / fade labels
Labels are intentionally filtered and spaced so the chart remains informative without looking crowded.
• AG Pro information panel
The panel summarizes squeeze state, phase, bias, momentum, energy, and current signal context.
The goal is to keep the script visually rich, but still clean enough for repeated real-world use.
🔷 HOW TO READ IT
A practical way to interpret the script:
• Squeeze ON
Volatility is compressed.
This is preparation, not directional confirmation.
• Bull Burst / Bear Burst
Compression has released and momentum has cleared the adaptive balance zone with directional pressure.
This is the main transition event in the workflow.
• Bull Drive / Bear Drive
The market is still carrying directional pressure after release.
• Bull Fade / Bear Fade
Momentum remains elevated, but acceleration is cooling.
This does not automatically mean reversal.
It means the move is no longer improving in quality.
• Balance
The market is not in an active burst condition and momentum is closer to neutral internal behavior.
This makes the script useful not only for timing expansion, but also for judging whether that expansion is still healthy or beginning to lose structure.
🔷 WHO THIS MAY BE USEFUL FOR
This script may be useful for traders who want to:
- track volatility compression and release in a dedicated oscillator pane
- filter squeeze releases by actual momentum quality
- distinguish stronger directional expansion from weaker post-release drift
- pair volatility timing with structure, trend, VWAP, or support/resistance analysis
- reduce overreaction to every simple zero-line shift
- organize post-squeeze behavior more cleanly in discretionary workflows
It is especially suitable for users who like the squeeze concept, but want more context than a traditional dot-plus-histogram implementation.
🔷 KEY INPUTS
Core settings include:
- BB Length
- BB StdDev
- KC Length
- KC ATR Multiplier
- True Range toggle for Keltner construction
Momentum settings include:
- Equilibrium Length
- Velocity Length
- Momentum Smoothing
- Adaptive Band Length
- Burst Band Multiplier
Visual and workflow settings include:
- Adaptive momentum zones
- Signal line
- Histogram width
- Release boxes
- Release box persistence
- Label spacing
- Label size
- Panel position
- Theme
- Panel font size
This gives users enough control to adapt the script to different symbols and timeframes without turning the interface into a settings overload.
🔷 LIMITATIONS AND TRANSPARENCY
This indicator is a chart-analysis tool.
It is not a guarantee of breakout continuation, not a prediction engine, and not a substitute for trade planning or risk management.
A few important points should be kept in mind:
- A squeeze can resolve in either direction.
- A valid release can still fail.
- Strong momentum can cool without immediately reversing.
- Some instruments will produce noisier momentum behavior than others.
- Settings may need adjustment depending on timeframe, volatility regime, and instrument structure.
The script is best treated as a decision-support layer for reading volatility expansion and momentum quality more clearly.
It is not presented as a standalone trading system.
🔷 IN ONE SENTENCE
Squeeze Momentum Indicator is designed to show not only when volatility is ready to move, but whether the actual post-squeeze move is carrying enough directional pressure, quality, and persistence to deserve attention. Indicator
Volatility Regime Cycle [AGPro Series]Volatility Regime Cycle
🌀 Overview
Volatility Regime Cycle classifies every bar on your chart into one of four distinct volatility phases: Contraction, Expansion, Climax, and Reset. Unlike traditional trend or regime indicators that focus on price direction, this tool maps the cyclical behavior of volatility itself — helping traders recognize whether the market is coiling, releasing, climaxing, or resetting. Each phase is detected through a multi-factor confluence engine and displayed with gradient background shading, transition markers, and S/R-style climax reaction zones. The framework is asset- and timeframe-agnostic: it adapts to crypto, forex, indices, stocks, and commodities on any timeframe.
💎 Unique Edge
Most volatility tools present a single metric (ATR, Bollinger Width, VIX proxy). Volatility Regime Cycle differs in structure and intent:
🔸 Phase-based classification, not just a reading — every bar is assigned to a named regime with a trader-actionable bias.
🔸 Multi-factor confluence scoring — five independent volatility inputs (ATR level, BB Width level, BB/KC squeeze, volume z-score, ATR rate-of-change) vote on the active phase. No single factor can dominate.
🔸 Winsorized normalization — outlier events (single extreme bars) do not compress the scale and hide current readings, a common flaw in simple percentile-based tools.
🔸 Climax Reaction Zones — each Climax event is preserved as an S/R-style rectangle with mid-pivot line, creating a memory of past volatility exhaustion levels that often act as future reaction areas.
🔸 Cycle-aware analytics — tracks historical phase durations and estimates current cycle progress based on rolling averages of past phases of the same type.
🔸 Phase-specific Trader Bias — panel translates the current regime into a plain-language bias (Breakout-watch, Momentum-favor, Reversal-risk, Cooldown).
This is not a Wyckoff phase tool, an Elliott counter, or a Dow-theory classifier. It is a pure volatility-cycle mapper, engineered from the ground up to stand apart from both classical cycle indicators and single-metric volatility meters.
🧠 Methodology
The engine runs three layers:
🔹 Factor Layer
• ATR Level — 14-period ATR, winsorized min-max normalized (5%-95% range) over a configurable lookback window.
• BB Width Level — Bollinger Band width as percent of basis, normalized identically.
• Squeeze State — true when Bollinger Bands are contained inside Keltner Channels (classic volatility compression).
• Volume Z-Score — standardized volume relative to its rolling mean and standard deviation.
• ATR Rate-of-Change — momentum of volatility itself.
🔹 Scoring Layer
Each of the four phases has its own scoring formula that weights the five factors differently. For each bar, all four phase scores are calculated in parallel, and the phase with the highest score is the candidate regime for that bar.
🔹 Confirmation Layer
To suppress whipsaw, the candidate phase must persist for a configurable number of bars (default 3) before replacing the active phase. A minimum phase duration lock additionally prevents rapid flips. Climax events include a de-duplication cooldown so that clustered climax bars produce a single marker rather than a cluster of overlapping labels.
Phase transitions are classified as major (Contraction→Expansion breakouts and Climax entries) or minor (all other routine changes). Only major transitions receive labels; minor changes are shown as subtle dotted lines to keep the chart clean.
🔔 Signals & Alerts
The script exposes alerts for every phase transition as well as two high-value composite events:
🔸 Any Phase Transition — fires whenever the active phase changes.
🔸 Entered Contraction / Expansion / Climax / Reset — fires for specific phase entries.
🔸 Contraction → Expansion (Breakout) — coil release event; of interest to breakout traders.
🔸 Climax Entry (Exhaustion Warning) — volatility peak event; of interest to mean-reversion and risk-management traders.
All alerts fire only on confirmed bar close to prevent intra-bar flip-flop.
⚙️ Key Inputs
🔹 Engine Settings — normalization lookback, ATR length, Bollinger/Keltner length and multipliers, volume z-score length, ATR rate-of-change length, confirmation bars, minimum phase duration.
🔹 Phase Thresholds — low volatility level, high volatility level, climax volatility gate, climax volume z-score threshold, climax de-dup cooldown.
🔹 Visuals — toggles for background shading, major transition labels, minor transition lines, volatility ribbon, current phase label.
🔹 S/R Zones — climax zones toggle, breakout zones toggle, maximum active zones, zone initial length, zone range lookback.
🔹 Panel — show/hide, location, Dark/Light theme, font size.
🔹 Label Sizing — font size for on-chart labels.
🔹 Alerts — per-event toggles.
📘 How to Use
🔸 Breakout traders: watch for Contraction phase on the panel with Trader Bias showing Breakout-watch. When the phase transitions to Expansion, a coil release is underway and a Breakout label is printed. Optional Breakout Zones can be enabled to preserve the breakout level as a retest reference.
🔸 Momentum / trend traders: ride the Expansion phase while Trader Bias reads Momentum-favor. Phase Duration and Cycle Progress on the panel give a sense of where the current momentum leg sits relative to historical averages.
🔸 Mean-reversion / exhaustion traders: a Climax label with Trader Bias Reversal-risk highlights volatility exhaustion. The Climax Reaction Zone drawn at each climax often behaves as a future reaction level and can be used as confluence with other reversal tools.
🔸 Risk managers: the Reset phase with Trader Bias Cooldown typically signals reduced market conviction and can be used to scale down position size until a new Contraction builds up.
🔸 Multi-timeframe reading: run the script on the higher timeframe for regime context and on the lower timeframe for entry timing.
Hover the panel header to see a statistics tooltip with average durations of each phase over the last completed cycles.
⚠️ Limitations & Transparency
🔹 The script does not predict future prices or issue buy/sell recommendations. It is a classification and context tool.
🔹 Phase detection is inherently lagging because it requires the confirmation window and minimum duration lock. This is a deliberate design choice to suppress whipsaw at the cost of some responsiveness.
🔹 Normalization uses a rolling lookback window; the first lookback bars after loading the script may show compressed or unstable readings while the window fills.
🔹 Cycle Progress is an estimate based on historical phase averages and may exceed 100% when the current phase runs longer than past cycles.
🔹 Climax and Reset scores rely partly on volume; on instruments with unreliable or missing volume feeds, volume-dependent factors will contribute less.
🔹 All visual elements are cosmetic and toggleable; they do not alter the underlying phase logic.
🛡️ Risk Disclosure
This indicator is a technical analysis tool. It is not a trading system, not a signal service, not financial advice, and not a guarantee of future results. Trading involves substantial risk of loss. Past market behavior does not predict future market behavior. Users are solely responsible for their own trading decisions, risk management, and position sizing. Always test any tool on your preferred instruments and timeframes with appropriate historical review before using it as part of a live decision-making process. Indicator
Dynamic Acceptance Channel [AGPro Series]Dynamic Acceptance Channel
🔷 Overview
Dynamic Acceptance Channel is an adaptive volatility channel that builds a dynamic upper and lower edge around a robust median midpoint. The channel width breathes with the market's own return distribution and volatility regime, so it naturally widens when the market expands and tightens when it compresses. Every bar is classified as Inside, Breaching, or Respecting the channel, while the width itself is independently tracked as Compressed, Normal, or Expanded. The tool is designed to give traders a clean, consistent framework for reading acceptance, mean-reversion context, volatility squeezes, and adaptive range behavior across crypto, FX, and equities.
🟢 Unique Edge
Most channel indicators on the market rely on a single dispersion model — typically a moving average plus a fixed standard deviation or ATR multiplier. Dynamic Acceptance Channel takes a different route:
▪ Robust median midpoint instead of a simple mean, which stays stable when the market wicks or spikes and is not dragged around by outliers.
▪ Hybrid width model that combines the percentile spread of recent returns with a clamped ATR regime ratio. The user can switch between Hybrid, Return Percentile, or Volatility Regime, depending on whether distribution shape or raw volatility is the priority.
▪ Independent width regime classification (Compressed / Normal / Expanded) ranked against the channel's own history, with hysteresis applied so the regime does not flip-flop around threshold boundaries.
▪ Bar-level state machine (Inside, Breach, Respect) separated from the width regime, so traders can read location and regime as two orthogonal dimensions.
▪ Double-EMA smoothing on both the midpoint and the half-width, producing a calm, professional channel that is readable on any timeframe without looking jagged.
This combination is not found in common Bollinger Bands, Keltner Channels, or generic ATR channels.
🧭 Methodology
The midpoint is computed as a rolling median using linear-interpolation percentile logic, which is statistically more robust than an arithmetic mean when the return distribution is skewed or heavy-tailed. The half-width is then derived from two independent signals. The first is a return-percentile dispersion term: the script measures the 85th and 15th percentiles of recent per-bar returns, symmetrizes them, and scales by the square root of the lookback window to produce a percentile-based half-width proxy. The second is a volatility regime term: the current 14-bar ATR is compared to its own baseline over the adaptive window, and the resulting ratio is clamped between 0.6 and 1.8 to prevent explosive widths during regime shocks. The final half-width is either one of the two terms or their average, depending on the selected model, then scaled by a user-defined global multiplier and smoothed with double EMA. The width regime classification uses linear-interpolation percentiles of the channel width itself over a separate regime lookback, and a 10% hysteresis buffer prevents rapid state flipping around the Compressed and Expanded thresholds.
🎯 Signals & Alerts
▪ Channel Breached — fires on a fresh upper or lower breach, edge-triggered with a minimum three-bar gap to avoid clusters on choppy bars.
▪ Channel Compressed — fires when the width regime transitions into the Compressed state.
▪ Channel Expanded — fires when the width regime transitions into the Expanded state.
▪ Channel Respected — optional, fires when price wicked outside on the prior bar and closed back inside on the current bar, confirming a rejection at the edge.
Visuals include color-coded upper and lower lines, a regime-tinted fill, small circular breach markers on the breached line (no text labels to avoid clutter), and spaced Compressed or Expanded transition labels anchored outside the channel.
⚙️ Key Inputs
Adaptive Engine
▪ Adaptive Length — lookback window for the channel (default 60).
▪ Channel Width Model — Hybrid, Return Percentile, or Volatility Regime.
▪ Width Scale — global multiplier for tightening or loosening the channel.
▪ Channel Smoothing — EMA length for line smoothness.
▪ Strict Breach Logic — close-based versus wick-based breach.
Width Regime
▪ Compression Threshold — percentile below which the width is Compressed (default 25).
▪ Expansion Threshold — percentile above which the width is Expanded (default 75).
▪ Regime Lookback — lookback for the width percentile ranking (default 150).
Visuals
▪ Show Channel Fill, Show Midline, Show Breach Markers, Show Regime Transition Labels, Regime Label Spacing.
Panel
▪ Show / hide panel, Panel Location (6 options), Panel Font Size, Label Font Size.
Alerts
▪ Channel Breached, Compressed, Expanded, and Respected can be toggled independently.
🧠 How to Use
A common reading is to combine channel state with width regime. When the channel is Compressed and price is riding the edges, the market is often preparing for an expansion phase. When the channel transitions into Expanded, continuation on the active edge is more likely than immediate mean reversion. Respect events at either edge during Normal or Compressed regimes often line up with fade opportunities, while breaches during Expanded regimes often line up with trend continuation context. The midline can be used as a dynamic fair-value reference for pullback entries inside the channel. Traders typically overlay this script with their own structure, momentum, or higher-timeframe bias tools rather than using channel events in isolation.
⚠️ Limitations & Transparency
▪ The indicator is a context and structure tool. It does not generate buy or sell decisions and does not claim to identify every meaningful reversal or breakout.
▪ The channel is recomputed each bar from recent data, which means the current bar's channel values can refine until bar close.
▪ Width regime classification is relative to the regime lookback, not absolute. On instruments or timeframes with very low variance, the regime may behave differently than on highly volatile markets.
▪ The ATR ratio is intentionally clamped between 0.6 and 1.8. This prevents explosive widths but also means the channel will not fully mirror extreme volatility shocks; this is a deliberate design choice for readability.
▪ Alerts are configured to fire once per bar close to reduce noise. Intrabar conditions may change until close.
🛡 Risk Disclosure
This script is provided for educational and analytical purposes only. It is not a strategy, not financial advice, and not a trade recommendation. Past channel behavior on any instrument or timeframe does not imply future performance. Users are fully responsible for their own risk management, position sizing, and trading decisions. Indicator
Adaptive Keltner Channel [NovaLens]Adaptive Keltner Channel detects when price is doing something exceptional versus simply moving within its expected range. It wraps price in ATR-based bands around an EMA center, optionally adjusts band width to the current volatility regime, and includes built-in squeeze detection and context-aware center reclaim signals.
════════════════════════════════════════════
◉ HOW IT WORKS
The indicator builds on the Keltner Channel concept introduced by Chester Keltner (1960) and refined into the modern ATR-based variant by Linda Bradford Raschke:
Center line : EMA of close
Upper band : Center + multiplier x ATR
Lower band : Center - multiplier x ATR
In static mode, the multiplier is fixed:
Upper = EMA(Close, Length) + Multiplier x ATR
Lower = EMA(Close, Length) - Multiplier x ATR
In adaptive mode, the multiplier scales with the current ATR percentile rank. When ATR is low relative to recent history, the channel widens to filter routine noise. When ATR is already elevated, the channel tightens so a band break still represents a genuine expansion rather than getting absorbed inside an overly wide envelope.
This is the opposite of how Bollinger Bands behave. Bollinger Bands widen mechanically as volatility rises because they use standard deviation. The adaptive Keltner deliberately tightens its multiplier in high-vol regimes to preserve the usefulness of a breakout signal across different conditions.
The script also includes squeeze detection: when Bollinger Bands contract inside the Keltner Channel, it flags that volatility has compressed. Compressed conditions can precede larger-than-normal moves, though the squeeze does not indicate which direction or guarantee that the expansion will follow through.
════════════════════════════════════════════
◈ HOW TO READ IT
Band interactions:
Price above upper band: upside expansion beyond the recent channel range
Price below lower band: downside expansion beyond the recent channel range
Center reclaims and losses:
Price reclaims center after a lower-band touch: downside extension did not hold
Price loses center after an upper-band touch: upside extension did not hold
These are not simple center crosses. The indicator tracks which band was touched most recently and only fires a reclaim or loss signal when that context is present. A center cross after sideways consolidation is a different event from a center cross following a failed band extension. This logic filters out a significant amount of the noise that makes naive center-cross signals unreliable.
Squeeze and trend:
Orange fill and center color: squeeze is active, volatility compressed
Squeeze intensity builds visually as the compression persists
Green center line: short-term trend pressure is up
Red center line: short-term trend pressure is down
Teal X-cross marker below bar: squeeze just released
The outer bands are intentionally neutral gray. Direction comes from price behavior, center slope, and the interaction signals.
════════════════════════════════════════════
✦ HOW WE USE IT: VOLATILITY CONTEXT
We use this channel as a volatility context layer rather than a standalone signal source. The question it answers: is the current price behavior routine or exceptional for this market's recent history?
When the channel is in squeeze state and the info panel reads "Compressed" with the bar count climbing, that is a low-conviction environment for new directional entries but a high-attention environment for preparation. On BTC 4H with Balanced settings, in our observation squeeze conditions often persist for 8-15 bars while the fill gradually deepens to orange. During that window, we are watching, not acting.
When the squeeze releases and price pushes through a band with the center slope already confirming, that combination (squeeze release, band break, center slope alignment) carries more weight than a random band break during an already-volatile session. No single element alone is the trigger.
On the reversion side, when price flushes to the lower band and then reclaims the center, the state-aware logic recognizes that the last band touched was the lower band. It treats that center cross as a meaningful reclaim rather than noise. This matters because price often consolidates between a band touch and the center for several bars. A naive center-cross indicator would miss the connection. This one remembers.
The practical workflow: use the channel to characterize whether price is inside its expected range, expanding beyond it, or compressed. Layer your directional signals on top of that context.
════════════════════════════════════════════
✦ OTHER APPLICATIONS
Breakout context : band breaks after compression, confirmed by center slope and price acceptance on subsequent bars
Mean reversion : in sideways conditions, band touches can frame moves back toward the center, especially when the center line is flat rather than sloped
Trend pullbacks : the center line as a dynamic support/resistance during directional moves
Risk management : use the center or opposite band as a trailing reference that adapts to current volatility
Alert-driven workflow : set alerts on squeeze start, squeeze release, breakout up/down, or center reclaim/loss and check the chart only when conditions change
════════════════════════════════════════════
⚙ GETTING STARTED
Adaptive Keltner Channel ships with reactivity presets:
Reactive : EMA 10 / Mult 1.5 / ATR 10. Tighter bands that respond quickly. Useful when you want the channel to track recent behavior more closely.
Balanced : EMA 20 / Mult 2.0 / ATR 14. The default. A reasonable starting point for most assets. Start here unless you have a specific reason not to.
Smooth : EMA 50 / Mult 2.5 / ATR 20. Wider and calmer. Useful on higher timeframes or when you want the channel to only flag larger-scale events.
Custom : Full manual control for specific setups.
Core settings:
Reactivity : selects the behavior profile. Start with Balanced.
Adaptive Band Width : on = regime-aware scaling, off = classic static Keltner. The difference is most visible when the market transitions between calm and volatile periods.
Adaptive Lookback : how far back ATR is ranked. 100 bars covers roughly 5 months on daily, 4 days on 1H. Increase for assets with long volatility cycles. Decrease for assets that shift regimes quickly.
Adaptive tuning:
Adaptive Max Multiplier (calm) : scales your base multiplier up in quiet conditions. Default 1.25 means the effective multiplier becomes 25% wider than the base (e.g., base 2.0 becomes 2.5). Increase if you are seeing too many false band touches during low-vol periods.
Adaptive Min Multiplier (vol) : scales your base multiplier down in volatile conditions. Default 0.75 means the effective multiplier becomes 25% narrower than the base (e.g., base 2.0 becomes 1.5). Decrease if breakouts are still not clearing the bands during high-vol sessions.
Squeeze settings:
Show Squeeze Detection : enables Bollinger-inside-Keltner squeeze logic
BB Length / BB Multiplier : default 20/2.0 matches standard Bollinger. Generally no reason to change unless comparing against a non-standard Bollinger on the same chart.
Display:
Show Info Panel : 4-row panel showing current state, volatility, trend direction, and price location as a channel percentage. Hover any label for a plain-English explanation.
Show Squeeze Background : subtle background tint during active squeezes. Off by default.
Light Theme Mode : adapts panel colors for light backgrounds.
════════════════════════════════════════════
△ LIMITATIONS
Lagging structure : the center is an EMA and the bands use historical ATR. Sharp reversals can outrun the channel. This is inherent to any channel overlay.
Squeeze is not directional : a squeeze tells you volatility has contracted, not which way the next move goes. The release can fail, reverse, or stall.
False band breaks : in noisy conditions, price can poke through a band and return inside on the next bar. Adaptive scaling is designed to help with this, but does not eliminate it.
Mean-reversion risk in trends : using center reclaims as reversion entries during a strong trend can stay wrong longer than expected. The center keeps moving with the trend.
History requirement : adaptive scaling needs enough bars to fill the Adaptive Lookback window (default 100 bars) before it adjusts properly. Squeeze detection also needs sufficient Bollinger and Keltner history. Early bars on any chart will have less reliable readings.
════════════════════════════════════════════
🔔 ALERTS
Six alert conditions are built in so you can monitor without watching the chart:
Breakout Up / Breakout Down : price closes beyond the upper or lower band
Squeeze Started : Bollinger Bands have contracted inside the Keltner Channel
Squeeze Released : squeeze just ended, volatility expanding
Center Reclaim : price crossed above the center after previously touching the lower band
Center Loss : price crossed below the center after previously touching the upper band
All alerts fire on bar close by default for confirmed signals.
════════════════════════════════════════════
⌁ NOTES
Original concept by Chester Keltner (1960), modern ATR-based variant by Linda Bradford Raschke
Uses ATR-based bands with optional volatility-regime adaptation via percentile ranking
Includes Bollinger-inside-Keltner squeeze detection with visual intensity buildup
Center reclaim/loss signals use state-aware logic that tracks which band was last touched
Values update in real time on the current bar and are confirmed at bar close
Open-source: inspect the logic directly in the Pine editor
Indicator
Apex Volatility Squeeze & Breakout [Pineify]Apex Volatility Squeeze & Breakout
The Apex Volatility Squeeze & Breakout indicator is a dynamic volatility analysis tool that identifies market compression (squeeze) phases and highlights potential breakout opportunities in real time. Built on the well-established principles of Bollinger Bands and Keltner Channels, this indicator synthesizes both into a single, unified volatility channel with a clear three-state trend system — giving traders an intuitive and actionable view of market volatility conditions on any symbol and timeframe.
Key Features
Unified volatility channel combining Bollinger Band width and Keltner Channel (ATR) threshold
Three-state trend detection: Bullish, Bearish, and Squeeze (consolidation)
Smoothed bands using EMA to reduce noise and false signals
Color-coded volatility cloud with dynamic candle coloring
Built-in Buy and Sell breakout signal labels
Alert conditions for automated trading notifications
Fully customizable parameters for lookback period, multipliers, smoothing, and colors
How It Works
This indicator operates on a core concept: when volatility contracts, a breakout is imminent . Here is how the calculation pipeline works:
A Simple Moving Average (SMA) of the close price is calculated over the user-defined lookback period to establish the basis line.
Standard deviation of price is computed and scaled by a Band Multiplier to determine the upper and lower Bollinger-style volatility bands.
The Average True Range (ATR) is computed over the same period and scaled by a Squeeze Multiplier to establish the Keltner Channel threshold.
A squeeze state is detected when the Bollinger Band width (scaled standard deviation) is less than the Keltner Channel width (scaled ATR) — this means volatility has compressed below normal levels.
Both the upper band, lower band, and basis are smoothed using an Exponential Moving Average (EMA) to produce a clean, noiseless visual channel.
A trend state machine determines the current market phase: Bullish (+1) when price trades above the upper band outside a squeeze, Bearish (-1) when price trades below the lower band outside a squeeze, and Squeeze (0) when volatility is compressed.
Trading Ideas and Insights
The squeeze state is the most critical signal this indicator provides. When the bands contract and the channel turns orange (default squeeze color), the market is consolidating and building energy. Traders should watch closely for the following scenarios:
A bullish breakout occurs when price crosses above the upper smoothed band after a squeeze period, indicating upward momentum.
A bearish breakout occurs when price crosses below the lower smoothed band after a squeeze period, indicating downward momentum.
During the squeeze phase, traders may choose to reduce position sizes and wait for directional confirmation.
The color transition of the volatility cloud — from orange (squeeze) to green (bullish) or red (bearish) — provides a clear visual cue for trend changes.
How Multiple Indicators Work Together
This script merges two complementary volatility methodologies into a single coherent system:
Bollinger Bands (Standard Deviation) measure statistical volatility — how far price deviates from the mean. They expand during volatile markets and contract during quiet markets.
Keltner Channels (ATR) measure range-based volatility — the average true range of price movement. They provide a more stable, less reactive volatility baseline.
By comparing these two measures, the indicator identifies squeeze conditions: when the faster-reacting Bollinger Band width falls below the slower ATR threshold, it signals abnormal compression. This is the classic "squeeze" concept pioneered by John Carter's TTM Squeeze, adapted here with EMA smoothing for cleaner signals.
The EMA smoothing layer is applied on top of the raw bands to eliminate whipsaw noise. This creates a smoother channel that is easier to read and trade, especially on lower timeframes.
The trend state machine ties everything together by classifying the market into three clear phases, which then drive the dynamic coloring of the bands, cloud fill, and candle colors — creating a unified visual experience.
Unique Aspects
Unlike standard squeeze indicators that only display a binary squeeze/no-squeeze state, this indicator provides a full directional trend classification with three states, color-coded across all visual elements.
The EMA-smoothed volatility channel is visually cleaner than traditional Bollinger Bands or Keltner Channels, making it easier to identify trend direction at a glance.
The volatility cloud fill adapts its color in real time based on the current trend state, providing immediate visual feedback on whether the market is trending bullish, bearish, or consolidating.
Candle coloring is also driven by the volatility state, allowing traders to spot trend alignment without needing to inspect the bands directly.
How to Use
Add the indicator to your chart. It overlays directly on the price chart.
Watch for the orange squeeze zone — this indicates low volatility and a potential breakout ahead.
When the channel transitions from orange to green, the market is breaking out bullish. When it turns red, the breakout is bearish.
Use the BUY and SELL labels as entry signals when price escapes the squeeze zone and crosses the smoothed bands.
Set up alerts using the built-in alert conditions ("Bullish Volatility Breakout" and "Bearish Volatility Breakout") to receive notifications without watching the chart.
Combine with volume analysis or momentum oscillators for additional confirmation of breakout strength.
Customization
Lookback Length (default: 20) — The period for calculating the SMA, Standard Deviation, and ATR. Shorter periods make the indicator more reactive; longer periods produce smoother, more reliable signals.
Band Multiplier (StDev) (default: 2.0) — Controls the width of the volatility bands. Higher values create wider bands and fewer breakout signals.
Squeeze Multiplier (ATR) (default: 1.5) — Sets the threshold for squeeze detection. Lower values detect squeezes more aggressively; higher values require stronger compression.
Band Smoothing (default: 5) — The EMA smoothing period applied to the bands. Higher values produce smoother bands with more lag.
Color Settings — Fully customizable colors for bullish, bearish, and squeeze states.
Candle Coloring — Toggle on/off to color candles based on the current volatility trend state.
Conclusion
The Apex Volatility Squeeze & Breakout indicator offers traders a clean, intuitive way to identify low-volatility squeeze conditions and potential breakout points. By fusing Bollinger Band width analysis with Keltner Channel ATR thresholds and applying EMA smoothing, it delivers a unified volatility channel that is both visually elegant and analytically powerful. Whether you trade stocks, forex, crypto, or futures, this tool helps you spot the moments when the market is coiling for its next big move — and positions you to act on it with confidence. Indicator
ES Breakout Toolkit Consolidation Range Detector Free=== PART OF THE ES BREAKOUT TOOLKIT ===
This is one of several free, standalone indicators that make up the ES Breakout Toolkit series. Each indicator isolates a single component used in the full ES London Breakout Pro strategy. They are designed to be useful on their own and educational for traders studying consolidation and breakout mechanics on ES futures.
=== WHAT THIS INDICATOR DOES ===
The Consolidation Range Detector identifies periods where price is compressing into a defined range that meets specific quality criteria. It draws a box around the consolidation zone when the range is tight relative to its recent average and falls within acceptable ATR bounds — not too small to be noise, not too large to be a trend already in motion.
When price exits a valid consolidation range, the indicator marks the breakout direction with an arrow. A label at the end of each range shows the range size in points and as a multiple of ATR, giving you context on the quality of the setup.
=== HOW TO USE IT ===
Apply this to an ES futures chart on a 5-minute timeframe. The indicator will automatically detect and draw consolidation boxes when conditions are met. You can adjust the range lookback period, tightness filter, and ATR bounds in the inputs to match your preference.
The key readings to watch are the Range/ATR ratio and the Range vs Average ratio in the dashboard. A range that is small relative to ATR and below its own recent average is a higher-quality consolidation — it means price is compressing more than usual, which often precedes a directional move.
An optional session filter limits detection to the London session (12AM-6AM PT) if you only want to see consolidations during that window.
=== KEY FEATURES ===
- Automatic consolidation zone detection with visual boxes
- Tightness filter comparing current range to rolling average
- ATR-based minimum and maximum range bounds
- Breakout direction arrows when price exits a valid range
- Range size labels in points and ATR multiples
- Optional London session filter
- Dashboard with real-time range quality metrics
- Alerts for consolidation detection and breakout events
=== ABOUT THE ES BREAKOUT TOOLKIT ===
This indicator is part of a free series that breaks down the building blocks of a London session ES futures breakout strategy. Other free indicators in the series cover session highlighting, ADX regime filtering, breakout candle scanning, and momentum close analysis. Each is published separately on my profile.
The full ES London Breakout Pro indicator combines all of these components into a unified strategy with additional proprietary features including advanced risk management, trade qualification, and data tracking. It is available as an invite-only script on my profile. Use the access request instructions on that script's page if you are interested.
=== DISCLAIMER ===
This indicator is provided for educational and informational purposes only. It is NOT financial advice. It does not constitute a recommendation to buy, sell, or hold any financial instrument. Trading futures involves substantial risk of loss and is not suitable for all investors. Past performance of any indicator or strategy is not indicative of future results. Always conduct your own research and consult a qualified financial advisor before making any trading decisions. You are solely responsible for your own trading activity. Indicator
Indicator
Indicator
Bot Webhook v8.5 - RSI Stoch Squeeze Regime Detection🔹 Multi-Timeframe Confluence Signal System v8.5 for SOL/USD
A data-driven signal indicator optimized for SOL perpetual futures across 30+ timeframes (30s to 20m). Every threshold has been backtested and fine-tuned using real trade data (2,100+ signals analyzed).
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔸 HOW IT WORKS
The indicator combines multiple technical layers into a single confluence system:
- RSI + Stochastic K — Timeframe-specific oversold/overbought thresholds (not one-size-fits-all)
- RSI Slope — Momentum direction filter
- ADX — Trend strength gating to avoid choppy markets
- Bollinger Band / Keltner Channel Squeeze — Detects volatility compression and breakout moments (SHORT side only, proven 53.8% hit rate with 1.39x R/R)
- Volatility Regime Detection — Classifies market state (Trending, Ranging, Squeeze Building, Breakout Imminent) with automatic WEAK_UP blocking
- Dynamic Confidence Scoring — Each signal gets a 0–100% confidence rating based on regime, indicators, and historical win rate
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔸 KEY FEATURES
✅ 30+ individually calibrated timeframes (30s, 45s, 1m–20m)
✅ Separate LONG & SHORT logic with independent RSI/K/Slope/ADX thresholds per timeframe
✅ Squeeze SHORT signals (Keltner breakout + bearish momentum + volume spike)
✅ Regime-aware filtering — blocks signals in unfavorable market conditions
✅ Confidence-based signal filtering (adjustable minimum threshold)
✅ Full info dashboard (regime, squeeze status, indicators, win rates, signal state)
✅ JSON webhook alerts with complete trade metadata (entry, SL, TP, ATR, regime, confidence)
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔸 VERIFIED PERFORMANCE (from 2,100+ signal analysis)
📊 LONG base signals: 68.2% hit rate, 1.48x risk/reward
📊 Squeeze SHORT signals: 53.8% hit rate, 1.39x risk/reward
📊 Best performing timeframes: 30s, 45s, 12m+
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔸 VISUAL GUIDE
🟢 Green triangle = LONG signal
🔴 Red triangle = SHORT signal
🟣 Purple diamond = Squeeze SHORT signal
🟡 Yellow background = Squeeze zone active
📊 Top-right table = Live dashboard with all indicator values
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔸 WEBHOOK / BOT INTEGRATION
Alerts output JSON with full trade context — ready for automated bot integration via webhook. Includes entry, stop loss, take profit, ATR, RSI, regime, confidence score and more.
━━━━━━━━━━━━━━━━━━━━━━━━━━━
⚠️ DISCLAIMER
This indicator is a tool for analysis, not financial advice. Past performance does not guarantee future results. Always manage your risk.
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🤖 Want to fully automate these signals?
Check out FuturesBot — an automated crypto futures trading bot that executes signals like these 24/7 with smart profit protection, position management, and AI-powered trade validation.
👉 futuresbot.de Indicator
MULTIVITAMIN1. What is MULTIVITAMIN?
MULTIVITAMIN is a custom-built, open-source algorithmic scalping indicator designed for PulseWire. Its primary goal is to capture high-probability momentum trades by combining pure Price Action (PA) mechanics with advanced trend and volatility filters, specifically engineered to avoid "chop" (ranging/flat markets) and deliver healthy, actionable signals.
2. What does it cover? (Core Modules)
Price Action Engine: The core of the system. It detects real-time structural market shifts by identifying Engulfing patterns, Order Blocks (OB) with volume confirmation, and Fair Value Gaps (FVG).
Trend & Momentum Filters: Utilizes a multi-timeframe Hull Moving Average (HMA) for signal smoothing, a 50-period EMA for macro trend direction, and an ADX filter to ensure the market has sufficient momentum before entering a trade.
Pro Walls (Anti-Chop System): Features advanced, optional defensive mechanisms: an ATR-based volatility filter (ensuring candle size is larger than average market noise) and an EMA slope filter (ensuring the trend line is actually pointing up or down, not moving sideways).
Volume Supported Breakout (BKR): An optional hybrid feature that looks for extreme volume spikes (compared to a 20-period SMA) combined with local high/low breakouts.
Lifecycle Management: A built-in state machine (Idle, Long, Short) that tracks the trade's status, preventing overlapping entries and managing exits based on user-defined criteria.
3. What is its operational logic?
Step 1: Scanning & Setup: The script continuously monitors price action for base entry conditions.
Step 2: The Gauntlet (Filtering): A setup must pass through all active user filters (EMA, ADX, Volatility, etc.) before being validated.
Step 3: State Execution: If all conditions align, the internal bot state shifts from 0 (Idle) to 1 or -1, plotting an ENTER shape on the chart and triggering an external webhook alert.
Step 4: The Exit: The bot remains in this state until a valid exit condition (like a reverse PA signal) is met.
4. ⚠️ CRITICAL: How to Set Up Alerts (The Anti-Repainting Rule) ⚠️
If you are using the "Exit on Reverse Signal" (Ters Sinyalde Çık) feature in the settings, you MUST configure all your PulseWire alerts (both ENTER and EXIT alerts) to trigger "Once Per Bar Close".
Why? If you set them to "Once Per Bar" (anlık tetikleme), intra-bar price fluctuations (wicks) will trigger premature exit/entry orders to your exchange before the candle officially closes, leading to repainting on the chart and ghost orders in your account. Always wait for the candle to close to confirm the structural shift! Indicator
Volume & Volatility Companion█ VOLUME & VOLATILITY COMPANION (VVC)
Complete Volume Dynamics & Volatility Analysis
A comprehensive overlay indicator that combines anchored VWAP with standard-deviation bands , Bollinger Squeeze detection , volume strength analysis , and session level tracking — all with automatic timeframe adaptation. It gives you a complete read on volume dynamics and volatility conditions directly on your price chart.
Free and Open Source.
█ THE CONCEPT: WHY VOLUME + VOLATILITY TOGETHER?
Volume and volatility are the two most overlooked edges in technical analysis. Price alone only tells half the story. Volume confirms conviction — a breakout on high volume is real, on low volume it's suspect. Volatility compression (squeeze) precedes explosive moves. VVC brings both dimensions together in one overlay so you never miss these critical signals.
█ CORE FEATURES
1. VWAP + Standard Deviation Bands
The Volume-Weighted Average Price acts as the institutional fair-value anchor:
VWAP Line — Dynamic equilibrium price. Institutions track this level religiously.
Band 1 (1 StdDev) — Inner value zone. Mean-reversion entries when price touches and bounces.
Band 2 (2 StdDev) — Outer extreme zone. Overextension signals when price reaches here.
Configurable anchor period: Session (daily), Week, or Month.
2. Bollinger Squeeze Detection
Detects the classic volatility compression setup where Bollinger Bands contract inside Keltner Channels:
Squeeze ON (red dots) — BB inside KC = low volatility, energy building
Squeeze OFF (cyan dots) — Normal volatility
Squeeze Release (diamond markers) — BB breaks out of KC after sustained compression = breakout imminent
Momentum direction at release determines the breakout bias.
3. Volume Analysis
Classifies each bar's volume relative to its moving average:
EXTREME — Volume > 2.5x average (institutional footprint)
HIGH — Volume > 1.5x average (above-average interest)
NORMAL — Average range
LOW — Volume < 0.5x average (thin market, low conviction)
4. Session Levels
Key reference levels plotted directly on the chart:
Session High/Low — Current intraday range boundaries
Previous Day High/Low — Breakout/rejection levels
Previous Day Close — Settlement level (bias reference)
5. Auto-Timeframe Adaptation
All calculation parameters automatically adjust to your chart timeframe. Toggle to manual mode for full control.
█ DASHBOARD
A compact, dark-themed info panel showing:
VWAP — Current position (ABOVE / BELOW / AT) + value
Squeeze — ON with bar count or OFF
BB Width — Percentage bandwidth for volatility context
Volume — Classification (EXTREME / HIGH / NORMAL / LOW) + ratio vs MA
Session — Current session range in price units
█ ALERTS (4 CONDITIONS)
Bullish Squeeze Release — Squeeze fires with upward momentum
Bearish Squeeze Release — Squeeze fires with downward momentum
Squeeze Building — Consecutive squeeze bars hit threshold
Extreme Volume — Detected on any bar
█ PRO VERSION
The PRO version adds:
MACD Analysis — Full MACD with signal/zero crossovers and divergence detection
Cumulative Volume Delta (CVD) — Net buying/selling pressure tracking
Bull/Bear Confluence Scoring — Combined score from all modules for directional bias
5 Additional Alerts — MACD crosses, volume confirmation signals
█ NON-REPAINTING
VWAP uses cumulative volume data (non-repainting by design). Bollinger Squeeze uses standard BB/KC calculations. Volume analysis uses simple moving average. Previous day levels use confirmed daily data. No repainting.
█ WORKS ON
Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Weekly+.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
Indicator
AG Pro Bollinger Bands Squeeze Map [AGPro Series]AG Pro Bollinger Bands Squeeze Map
Overview
AG Pro Bollinger Bands Squeeze Map is a Bollinger-based compression and release mapping tool designed to show how volatility contracts, matures, expands, and sometimes fails directly on price.
Instead of reducing the entire process to a simple binary squeeze dot, this script organizes the behavior into a visual regime map. It tracks when compression is only beginning, when it becomes more meaningful, when it reaches deeper squeeze conditions, and when price transitions into a release phase. It also highlights failed releases and re-compression behavior, which can be useful when an expansion loses follow-through and the market slips back into a tighter volatility regime.
The goal of the script is not to predict the next move in advance, and it is not presented as a standalone trade system. Its purpose is to provide structured context around Bollinger Band compression so the user can evaluate whether the market is still coiling, already expanding, or losing expansion quality after an initial move.
This script is plotted directly on the chart and is built to remain readable without requiring a separate lower panel. The design prioritizes chart-first interpretation, moderate visual hierarchy, and state clarity.
Unique Edge
Many Bollinger squeeze tools stop at a yes/no condition or a single timing marker. This script takes a broader approach.
Its primary difference is that it treats squeeze behavior as a sequence of states rather than as a single event. That means the script does not only ask whether a squeeze exists. It also asks:
- Is compression only building, or is it already active?
- Has the squeeze become deep or mature?
- Did the first release show better or weaker expansion quality?
- Did the move fail and rotate back toward the basis?
- Is the market entering a re-compression phase after release?
This state-based mapping framework is the main distinction of the indicator. The intent is to help the user see volatility structure more clearly, rather than to provide a simplistic breakout label.
What the Script Does
The script combines Bollinger Band structure, normalized band width, width percentile logic, optional Keltner Channel confirmation, and release-state scoring into a single on-chart map.
In practice, the indicator can highlight:
- Building Compression
- Active Squeeze
- Deep Squeeze
- Mature Squeeze
- Up Release
- Down Release
- Failed Release
- Re-Compression
The result is a visual progression from contraction to expansion, with added context about the quality of that transition.
Methodology
1) Bollinger Band Structure
The script begins with a standard Bollinger Band framework built from a basis line and upper/lower deviations. This establishes the primary price envelope used throughout the tool.
2) Normalized Band Width
Raw band width is normalized relative to the basis so that compression can be assessed more consistently across changing price levels.
3) Width Percentile Regime Detection
The script evaluates current band width against a lookback window using percentile rank logic. This allows the user to frame current compression relative to recent history rather than relying only on absolute width values.
4) Optional Keltner Confirmation
An optional Keltner containment component can be used to strengthen squeeze filtering. Depending on the selected mode, the script can use percentile logic, Keltner logic, or a hybrid of both.
5) Compression State Classification
Compression is not handled as one flat condition. The script distinguishes between building compression, active squeeze, deep squeeze, and mature squeeze based on percentile thresholds and persistence.
6) Release Quality Scoring
When price exits a squeeze state, the script evaluates the release using a score that incorporates bar body behavior, close location, width expansion, distance from basis, and wick influence. The output is grouped into quality labels such as Weak, Clean, or Strong.
7) Failed Release Logic
A release is not automatically treated as durable. If the move loses structure and rotates back through the basis within the monitoring window, the script can classify that behavior as a failed release.
8) Re-Compression Detection
After release, markets do not always trend cleanly. Sometimes they compress again. The re-compression logic is included to identify this return into tighter volatility conditions.
Signals and Alerts
The script includes deterministic alert conditions tied to state transitions. These alerts are intended to notify the user when a specific structural condition appears on the chart.
Available alert categories include:
- Active Squeeze
- Deep Squeeze
- Mature Squeeze
- Up Release
- Down Release
- Failed Release
- Re-Compression
These alerts describe indicator states. They are not guarantees of continuation, reversal, or trade outcome.
Visual Design
The indicator is designed to work as an on-chart map rather than as a lower-pane oscillator.
The visual structure includes:
- Bollinger Bands
- Optional Keltner Channel
- Compression and release zone fills
- State labels
- Compact information panel
The zone rendering is intentionally state-weighted. More important states such as release, deeper squeeze regimes, and failure/re-compression conditions receive stronger visual emphasis, while lower-priority compression states can remain lighter to reduce chart clutter.
Key Inputs
The script includes adjustable controls for:
- Detection mode
- Bollinger Band length and multiplier
- Percentile lookback and thresholds
- Keltner Channel length and ATR multiplier
- Minimum bar requirements for deeper squeeze states
- Release persistence window
- Failure and re-compression windows
- Label size and offset
- Band and channel visibility
- Map intensity
- Theme selection
- Panel position and font size
These controls allow the user to adapt the script to different assets, volatility profiles, and charting preferences.
How to Interpret It
A practical way to read the script is to think in phases.
When the indicator shows Building Compression, volatility is tightening but may not yet be at a stronger squeeze threshold.
When the indicator shifts into Active, Deep, or Mature squeeze conditions, compression is becoming more statistically notable relative to the selected lookback.
When a release label appears, the script is identifying a transition out of compression. The associated quality label is meant to describe the character of that release, not to certify future follow-through.
If a failed release appears, the script is signaling that the initial expansion did not maintain structure within the observation window.
If re-compression appears, the market may be moving from expansion back into tighter volatility conditions.
This framework is often more useful for context and filtering than for isolated signal-chasing.
Use Cases
This tool may be useful for users who want to:
- study volatility contraction and expansion directly on price
- compare weaker and cleaner releases after squeeze conditions
- identify failed expansion behavior
- add context to existing discretionary workflows
- use squeeze structure as a filter rather than a complete decision engine
It can also be used alongside structure analysis, trend analysis, support/resistance mapping, or broader workflow-based chart review.
Limitations and Transparency
This script is a volatility-structure tool. It is not a prediction engine and does not forecast future price direction with certainty.
Several important limitations should be kept in mind:
- A squeeze can resolve in either direction.
- A strong-looking release can still fail.
- A failed release does not automatically imply a reversal trend.
- Different symbols and timeframes may require different threshold settings.
- Very noisy instruments may produce more frequent state changes.
Because of this, the script should be interpreted as a structured context layer rather than as a standalone execution model.
Open-source access does not remove the need for user judgment. Inputs still need to be reviewed and adjusted where appropriate for the instrument and timeframe being studied.
Risk Disclosure
This indicator is for chart analysis and educational use. It does not provide financial, investment, legal, or tax advice.
Any decision based on this script remains the responsibility of the user. Markets can behave unpredictably, and no indicator can eliminate risk. Users should evaluate signals, states, and visual conditions in the context of their own methodology, time horizon, and risk framework. Indicator
Chop ShieldThe Chop Shield is an all-in-one market state indicator designed to solve the two biggest problems for intraday traders: over-trading in sideways "chop" and entering breakouts with no institutional backing.
Built specifically for high-speed environments like SPY 0DTE and Tick Charts, this script uses a multi-layered confluence of volatility, momentum, and adaptive volume to "gray out" the noise and highlight high-probability "coiled spring" releases.
### Key Features
Smart "Traffic Light" Candle Coloring:
Slate Blue (#708090): The "Neutral Zone." This triggers during volatility squeezes, low ADX (Average Directional Index), or the mid-day "Lunch Doldrums." If it’s Slate, you stay at your desk.
White/Black High-Contrast Bodies: Once the market breaks out of chop, the candles return to a clean White (Bullish) or Black (Bearish) state.
The Squeeze Engine (Orange Background):
Uses a Bollinger Band/Keltner Channel relationship to identify periods of extreme volatility contraction. These "Squeezes" are the precursor to the largest moves of the day.
High-Confidence "Pressure" Signals:
Green/Red Diamonds: These appear when a candle meets strict price action criteria (70%+ solid body, closing at extremes) paired with high relative volume.
Live Bias Arrows: "BUY/SELL" markers trigger only when the High-Confidence bar aligns with the VWAP Slope and price location.
Adaptive Session Volume (The Yellow Marker):
Standard RVOL indicators are useless at the open because volume is always high. Our Adaptive Logic uses a 2.5x threshold during the 9:30–10:15 AM window and scales down to 1.5x for the rest of the day. If you see a yellow marker, it means volume is truly abnormal for that specific time of day.
Professional Filtering:
RTH Only: Automatically hides all signals and coloring during Pre-Market and Post-Market to keep your chart clean for the opening bell.
Lunch Doldrums: Hard-coded "Gray Zone" between 11:30 AM and 1:30 PM EST to protect you from the lowest-probability trading window.
### How to Trade It
This indicator is best used as a Validation Filter for levels-based strategies (Initial Balance, ORB, or Gap Fills).
The Setup: Identify a Volatility Squeeze (Orange Background) where candles are Slate Blue.
The Trigger: Wait for the Squeeze to end and the candles to turn White or Black.
The Confirmation: Look for a Green/Red Diamond paired with an Adaptive Volume Spike (Yellow "|").
The Exit: Use the Blue VWAP Line as your dynamic trailing stop or mean-reversion target.
### Confluence
Perfect for traders using Edgeful, ICT/SMC concepts, or standard Initial Balance breakouts. It removes the "guesswork" of whether a breakout is real or a low-volume trap. Indicator
Esco Theory v4Esco Theory maps the hidden geometry of price action. It identifies swing structure, plots geometric rails between pivots, detects supply and demand zones, fair value gaps, liquidity pools, compression patterns, and confluence clusters.
All signals are synthesized into a real-time dashboard so traders can read market structure and volatility conditions at a glance.
Built for traders who study displacement, structure shifts, and the expansion–compression cycles that drive price.
Features
Market Structure (BOS / MSS)
Automatically detects Break of Structure (BOS) and Market Structure Shifts (MSS) using configurable swing lookback. Bullish and bearish shifts are labeled directly on the chart with color-coded markers.
Displacement candles (body greater than 1.5× ATR) are highlighted to confirm impulsive moves.
Geometric Rails
Trendlines (“rails”) are drawn between consecutive swing highs and swing lows and extended forward.
Two tiers are available:
Minor Rails
Short-term pivots for intraday and swing geometry.
Major Cycle Rails
Higher-timeframe pivots that reveal broader structural channels.
Cross-rails connect swing highs to swing lows using dotted diagonals, revealing convergence and divergence patterns.
Cycle Fan
A fan of rays projects from the deepest major swing low through each major swing high (and vice versa), mapping the angular geometry of the current market cycle.
These angles often highlight reaction zones where time and price intersect.
Supply & Demand Zones
Zones are created at pivot candles confirmed by displacement on the following bar.
Each zone tracks retests and gradually fades in transparency as it is touched.
Mitigated zones are automatically removed to keep charts clean.
Fair Value Gaps (FVG) & Inverted FVGs
Three-candle imbalance gaps are detected and drawn as shaded boxes.
When a gap fills to its midpoint it converts into an inverted FVG, which can act as a continuation or re-entry zone.
Both gap types have independent color settings and optional auto-expiration.
Premium / Discount Zones
Using the most recent major swing high and low, price is divided into:
Premium (upper 25%)
Discount (lower 25%)
Equilibrium (midpoint)
A dotted equilibrium line marks fair value and helps filter entries.
Support & Resistance Clustering
All pivot prices are grouped by proximity.
Levels with multiple touches are drawn as dashed horizontal lines labeled with touch count:
S (3)
R (4)
Stronger clusters appear as thicker lines.
Confluence Zones
When three or more levels from different sources cluster together (pivots, S/R levels, supply and demand), a shaded confluence zone is drawn.
These areas often produce the strongest market reactions.
Liquidity — Equal Highs / Equal Lows
Swing highs and lows within a defined tolerance are identified as EQH and EQL liquidity pools.
These levels extend forward and often attract price before reversals or breakouts.
Liquidity Sweeps
When price wicks through an equal high or low and closes back inside the level, a sweep marker (✕) appears.
Sweeps often signal liquidity grabs before reversals.
Compression & Squeeze Detection
Two compression signals identify volatility contraction.
ATR Compression
Occurs when fast ATR drops below 60% of slow ATR.
Bollinger / Keltner Squeeze
When Bollinger Bands contract inside Keltner Channels.
When the squeeze releases, a triangle marker signals expansion.
A wedge overlay connects compression pivots to visualize tightening ranges.
Real-Time Dashboard
A compact panel displays current market conditions.
Bias
Current structure trend (Bullish / Bearish / Neutral)
Zone
Premium, Discount, or Equilibrium
Volatility
Squeeze, Compression, or Expansion
ATR Ratio
Fast ATR vs Slow ATR
BBW
Bollinger Band Width percentage
Wedge
Active compression wedge detection
FVG
Active gap count
Sweeps
Recent liquidity sweep count
Inputs & Customization
Every module can be toggled independently.
Key settings include:
Swing Lookback (minor and major)
Rail Extension length
Max Cross-Rails
Supply / Demand Pivot Length
FVG Minimum Size and Max Age
Support / Resistance Tolerance and Minimum Touches
Confluence Width and Minimum Levels
Equal High / Low Tolerance
All colors are fully customizable.
How to Use
Identify bias
Check the dashboard for current structure direction and premium/discount location.
Find confluence
Look for areas where rails, zones, gaps, and support/resistance overlap.
Watch compression
Squeeze diamonds and wedges signal volatility building.
Trade displacement
Highlighted candles confirm impulsive moves through key levels.
Monitor liquidity sweeps
EQH/EQL sweeps often precede reversals or expansions.
Notes
Overlay indicator designed for use directly on price charts.
Compatible with all markets and timeframes.
Lower timeframes with large bar counts may increase drawing load. Adjust lookback settings if needed.
Best used alongside discretionary price action and market context. Indicator
Esco Theory V3.1Esco Theory Geometry Model V3 is a structural analysis overlay that maps market geometry, supply and demand, liquidity, fair value gaps, and volatility compression in one framework.
The tool combines market structure, liquidity mapping, supply and demand zones, fair value gaps, and volatility squeeze detection into a single structural system.
It does not generate buy or sell signals. It shows the structural conditions that often precede large moves so traders can plan trades around them.
Built for discretionary traders who read price action and structure.
Originally developed for crypto futures but it works on any liquid market.
Every feature can be toggled on or off. Every color, lookback period, tolerance, and threshold is adjustable. You can run only rails and support resistance or the full system. It adapts to your trading style and timeframe.
WHAT IT SHOWS
V3 draws the structural architecture of price directly on the chart.
Geometric rails and trend channels from swing pivots
Horizontal support and resistance from clustered pivot levels
Supply and demand zones validated by displacement
Fair value gaps from three candle imbalances
Inverse fair value gaps from filled imbalances
Equal highs and equal lows that often act as liquidity targets
Confluence zones where multiple levels overlap
Volatility compression detection with squeeze and expansion signals
Each component is independent. Turn on what you use. Turn off what you do not.
GEOMETRIC RAILS
The indicator connects significant swing highs and lows with diagonal trendlines and projects them forward.
Minor rails track recent structure.
Major rails map the larger cycle.
Cross rails connect highs to lows for diagonal support and resistance.
Cycle fans project from cycle extremes through opposing pivots.
These rails form structural corridors that price often travels inside.
When a rail aligns with a horizontal level or a supply demand zone the reaction tends to be stronger.
Rail color, width, extension distance, and cross rail count are adjustable.
SUPPORT AND RESISTANCE
Nearby pivot points are clustered into horizontal levels.
Each level includes a touch count so you can see how many times price has reacted there.
More touches usually means a stronger level.
Levels automatically flip between support and resistance depending on where price trades relative to the level.
You control minimum touch count and clustering tolerance so detection can be tuned for your timeframe or market.
SUPPLY AND DEMAND ZONES
Zones are detected at pivots where price displaced strongly away from the origin candle.
A valid zone requires clear displacement.
Supply zones represent potential distribution areas.
Demand zones represent potential accumulation areas.
Zones are removed when price closes through them.
New in V3 zones track retests.
Each time price revisits a zone the color fades slightly and the label updates with the retest count.
A fresh zone with zero retests is strongest.
A zone labeled S x3 has been tested three times and is weaker.
Zone count, pivot lookback, mitigation behavior, fade behavior, and colors are configurable.
FAIR VALUE GAPS
V3 detects fair value gaps using three consecutive candles where a price gap forms around the middle candle.
Bullish FVG occurs when candle one high does not overlap with candle three low.
Bearish FVG is the inverse.
Fair value gaps represent price inefficiency where the market moved too quickly.
These areas often get revisited as price rebalances.
Minimum gap size, lifespan, and automatic removal after midpoint fill can be configured.
INVERSE FAIR VALUE GAPS
When a fair value gap is fully mitigated it becomes an inverse fair value gap.
A filled bullish FVG becomes resistance.
A filled bearish FVG becomes support.
The zone remains on the chart with a different color until price closes through it again.
This captures the common behavior where filled imbalance zones flip direction.
CONFLUENCE
The indicator scans all detected levels and highlights areas where several structures cluster together.
When rails, horizontals, and supply demand overlap the probability of a reaction increases.
Confluence zones show how many levels overlap in the same area.
Cluster width and minimum level count can be adjusted.
COMPRESSION AND SQUEEZE
Volatility compression is detected using ATR ratio, Bollinger Band width, and Keltner Channel containment.
When volatility contracts the chart highlights compression.
This means price is coiling and energy is building.
Optional wedge detection shows converging pivot structure during compression.
Compression thresholds and pivot lengths can be tuned.
SQUEEZE AND FIRE
The squeeze system identifies when Bollinger Bands sit inside Keltner Channels.
Red diamonds mark squeeze bars.
Volatility is compressed and a move is building.
This does not predict direction.
Green triangles mark the fire bar where compression releases and volatility expands.
Expansion often appears as breakouts or displacement candles.
LIQUIDITY
The indicator detects equal highs and equal lows.
These areas often act as liquidity pools where stops accumulate.
Price frequently moves toward these levels before reversing or continuing.
Tolerance for equal highs and lows can be adjusted.
HOW TO USE IT
Strong setups occur when several tools agree.
Typical workflow.
Read the rails and understand the direction of structure.
Identify key levels from support resistance, supply demand, and fair value gaps.
Look for confluence where several levels overlap.
Watch compression. Squeeze near a key level means energy is building.
Wait for fire. Expansion from a confluence area often produces the move.
Confluence matters more than any single signal.
The indicator is meant to be tuned to your style and timeframe. The default settings are a starting point.
MARKETS
Originally built for Bitcoin and crypto perpetual futures.
It works well on other liquid markets including Ethereum, forex majors, index futures, and high volume equities.
Default settings are tuned for crypto on 5 minute to 4 hour charts.
Adjust swing lookback and pivot length when switching markets or timeframes.
ESCO THEORY
Markets move through repeating cycles.
Compression
Liquidity grab
Expansion
Most traders only see the breakout.
Structural traders map the conditions that lead to it.
Esco Theory focuses on identifying those structural conditions.
Geometry Model V3 visualizes them on the chart.
DISCLAIMER
This indicator is for market structure analysis only.
It does not provide financial advice or automated trade signals.
Always use proper risk management.
Trade safe.
Esco Indicator
