Structure Fracture Map [JOAT]Structure Fracture Map is an open-source market structure and imbalance zone indicator that combines Fair Value Gap detection with a dynamic quality scoring system, a dual strength bar visualization inside each zone, and a real-time Break of Structure and Change of Character engine. It provides a single-indicator view of where price has left imbalances, how significant those imbalances are, and where structural shifts have occurred.
The problem with most FVG indicators is static treatment — a gap is detected and displayed with no differentiation between a high-quality gap formed on a strong impulse with above-average volume and a weak gap formed on a low-volume, narrow-range bar. Structure Fracture Map scores every FVG at formation and continuously updates that score based on mitigation progress, age, and trend alignment, ranking all active zones so that only the most institutionally relevant ones remain visible.
Core Concepts
1. Fair Value Gap Detection
A bullish FVG exists when the current bar's low is above the high of the bar two positions prior — a three-bar pattern where the middle bar's range creates a gap that price has not filled. A bearish FVG is the inverse. Detection is confirmed only on completed bars to prevent repainting.
2. Four-Component Strength Score
Each FVG receives an initial strength score from four components: gap size relative to ATR(14) scaled to 40 points, volume relative to 20-bar average scaled to 30 points, trend EMA alignment scaled to 20 points, and candle body-to-range ratio scaled to 10 points. The score is recalculated every bar, with a small age penalty and a mitigation penalty applied as price partially fills the gap:
float totalStrength = (gapScore * 40) + (volScore * 30) + (trendScore * 20) + (candleScore * 10)
fvg.qualityScore := totalStrength - fvg.mitigation * 50 - fvg.age * 0.1
3. Dual Strength Bars
Inside each FVG box, two small bars are rendered — one showing bearish pressure score and one showing bullish pressure score as a proportion of the box width. The relative lengths reflect which directional force is currently dominating at that imbalance zone.
4. Mitigation Tracking
Mitigation is computed as the ratio of how far price has penetrated into the zone to the total zone height. A fully mitigated FVG is removed from the display. Partially mitigated FVGs remain visible with their score updated downward, reflecting reduced structural significance.
5. Break of Structure and Change of Character
Pivot highs and lows track the most recent confirmed structural levels. A Break of Structure (BOS) occurs when price closes through the last confirmed pivot in the current structural direction — confirming continuation. A Change of Character (CHoCH) occurs when price closes through the last confirmed pivot against the current direction — signaling a potential structural shift. Both events are labeled with a horizontal line at the break level.
Features
FVG detection with quality scoring: Bullish and bearish fair value gaps detected and scored by gap size, volume, trend alignment, and candle quality
Dynamic score updates: Quality scores recalculated each bar with age decay and mitigation penalty
Top-N zone ranking: Only the highest-scoring active zones displayed; lower-quality zones removed as better ones form
Dual strength bars: Bearish and bullish strength bars inside each zone show directional pressure balance
Mitigation tracking: Zones removed automatically when fully mitigated; partial mitigation reflected in updated score
BOS and CHoCH detection: Structural break events labeled with horizontal level lines and text identifiers
HH / HL / LH / LL pivot labels: Confirmed swing pivot types labeled on chart for structural context
Swing level extension lines: Dotted lines at current unbroken swing levels extending to right edge of chart
Four color themes: Phantom, Neon, Classic, Solar
Non-repainting: All detection gated by barstate.isconfirmed
Alert conditions: New top-ranked FVG, BOS bull, BOS bear, CHoCH bull, CHoCH bear, FVG touched
Dashed FVG borders: Each Fair Value Gap box has a dashed colored border matching its directional bias — teal for bullish, pink for bearish
Clean pivot arrow labels: HH, HL, LH, LL events rendered as minimal text arrows (▲ HH etc.) with no background box, positioned above/below bars without obstructing price action
Short BOS/CHoCH event lines: Break of Structure and Change of Character events marked with compact 6-bar horizontal lines and right-anchored labels — no full-width horizontal clutter
Resistance/Support swing extensions: Nearest unbroken swing high labeled "Res" and swing low labeled "Sup" at right edge, updated each bar
Structural bias background: Subtle bull/bear background tint driven by current HH/HL or LH/LL structural sequence
Trend EMA reference line: 50-period EMA plotted in elite theme color as a trend context reference
Input Parameters
FVG Zones:
Show Top Zones: Maximum number of ranked zones displayed (default: 10)
Max Stored FVGs: Maximum FVGs tracked in memory (default: 50)
Volume MA Length: Volume average for scoring (default: 20)
Trend EMA Length: Trend alignment reference (default: 50)
Show Strength Bars toggle
Bull/Bear FVG colors
Market Structure:
Swing Lookback: Bars required on each side for pivot confirmation (default: 10)
Show Structure Labels toggle
Show BOS Events toggle
Show CHoCH Events toggle
Show Swing Level Lines toggle
How to Use This Indicator
Step 1: Read Zone Rankings
Zones with higher quality scores represent structurally more significant imbalances. Focus on fresh (un-mitigated) zones with strong scores for potential reaction areas.
Step 2: Monitor Dual Strength Bars
A bullish FVG whose bearish strength bar is growing indicates that selling pressure is building within the zone. When the bearish bar exceeds the bullish bar, the zone may be losing its bullish character.
Step 3: Use BOS and CHoCH for Context
A BOS confirms continuation. A CHoCH is a warning that the current structural bias may be reversing. CHoCH events near high-quality FVG zones are particularly significant structural signals.
Step 4: Watch Swing Level Extensions
The dotted right-edge lines show the nearest unbroken swing high and low — the next levels where a BOS or CHoCH could occur. These levels frame the most immediate structural breakpoints.
Indicator Limitations
Pivot confirmation requires a lookback offset. BOS and CHoCH events are labeled after confirmation, not on the bar that caused them
FVG quality scores include volume as a factor. On instruments where volume is less meaningful, the score may rank gaps differently than expected
Age penalty causes long-standing FVGs to lose score over time even if they remain structurally valid
This indicator identifies existing imbalances and structural events. It does not predict where price will go next
Originality Statement
A dynamic per-bar quality score for FVGs that decays with age and mitigation, combined with a top-N ranking system that actively removes lower-quality zones when better ones form, is not replicated in existing open-source Pine Script v6 FVG publications
Dual strength bars rendered inside each FVG box — showing the current bull-versus-bear directional pressure balance within that specific imbalance zone — is an original visualization concept
Combining FVG quality ranking, mitigation tracking, BOS/CHoCH structural event detection, and pivot type labeling in a unified indicator with a single clean overlay is an original integration
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Fair Value Gaps and structural events are based on historical price data and do not predict future price direction. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Setup Symmetry LevelsSetup Symmetry Levels
Setup Symmetry Levels is a market structure indicator designed to identify potential reaction levels based on completed bullish and bearish price setups.
The script tracks consecutive price behavior and plots horizontal levels whenever a user-defined setup threshold is reached. These levels can help traders visualize areas where the market has previously shown notable reactions and may provide useful context for future price analysis.
Features:
• User-configurable bullish and bearish setup thresholds
• Automatic support and resistance level plotting
• Forward projection of detected levels
• Optional setup completion markers displayed on the chart
• Symmetry-based projection levels derived from previous reaction points
• Adjustable colors, line styles, line widths, and label visibility
• Compatible with all symbols and timeframes
The symmetry calculation uses historical reaction levels to generate additional projected levels around the most recent completed setup. These projections are intended to provide a structured visual framework for studying price behavior and market structure.
This indicator is provided for analytical and educational purposes only. It does not provide financial advice, trading recommendations, guaranteed outcomes, or predictions of future market performance. Users should combine this tool with their own analysis, risk management practices, and market research.
The indicator can be applied to cryptocurrencies, stocks, forex, indices, commodities, and other liquid markets.
Indicator
Cascade Liquidity Zones [JOAT]Cascade Liquidity Zones
Introduction
Cascade Liquidity Zones is an open-source institutional stop-hunt and liquidity zone detector built around the mechanics of how large participants move price through retail stop clusters before reversing. It identifies demand and supply zones from pivot-impulse structures, scores them by quality, confirms sweep events with multiple filters, and marks potential failure entry patterns — all within a single indicator that requires no additional tools to interpret.
The foundational premise is that price routinely sweeps beyond visible structural levels to trigger stop orders placed by retail participants, before institutional participants absorb the liquidity generated and reverse price. Identifying these events in advance, tracking the zones where they are likely to occur, and confirming them with volume and wick rejection filters produces a framework for anticipating institutional reactions at structural extremes.
Core Concepts
1. Pivot-Impulse Zone Creation
Demand zones are formed from confirmed pivot lows and supply zones from confirmed pivot highs. Each pivot creates a zone spanning a configurable ATR multiple, representing the area of institutional activity around that structural level. Zones are scored using a three-component Impulse Quality Score:
f_score(idx) =>
bodyR = math.abs(close -open ) / math.max(high -low , syminfo.mintick)
volR = volume / ta.sma(volume, 20)
atrR = (high -low ) / ta.atr(14)
(bodyR*40.0) + (math.min(volR,4.0)/4.0*35.0) + (math.min(atrR,3.0)/3.0*25.0)
This scores the impulse candle by three factors: directional body conviction (40%), volume participation relative to average (35%), and range size relative to ATR (25%).
2. Four-Layer Glow Zone Visualization
Each zone is drawn as four concentric boxes expanding outward from the core zone level, with decreasing opacity on each outer layer. This creates a visual glow effect that communicates zone location and zone type at a glance. Demand zones use the bull theme color; supply zones use the bear theme color.
3. Sweep Confirmation Engine
A demand zone sweep is confirmed when all of the following conditions pass simultaneously on a confirmed bar: minimum wick penetration percentage, close back inside or above the zone, volume exceeds average by a configurable multiple, wick rejection percentage exceeds minimum threshold, cooldown period elapsed, and optional pattern filters pass.
4. Failure Entry Engine
An alternative entry mode detects price failure patterns at pivot levels. A bullish failure occurs when price wicks below the most recent confirmed pivot low and closes back above it on the same bar, with the wick exceeding a minimum ATR size and a minimum rejection percentage. This targets trapped short-sellers at pivot extremes.
5. Zone Flip Mechanics
When price closes fully through a demand zone, that zone flips to a supply zone — its color changes from bull to bear theme color and it becomes eligible for short-side sweeps. This reflects the structural concept that broken support becomes resistance.
6. Liquidity Value and Hold Percentage
Each zone tracks cumulative volume × price product from its origin bar, displayed as a liquidity value label ($K, $M, $B). Zones also track how many times price has touched and rejected from them without breaking through, expressed as a hold percentage.
Features
Pivot-impulse zone creation: Demand and supply zones built from confirmed structural pivot points, scored by impulse quality
Three-component impulse quality score: Body conviction, volume participation, and ATR-relative range scored at zone creation
Four-layer glow boxes: Each zone drawn as four concentric boxes with decreasing opacity for a depth visualization effect
Multi-filter sweep confirmation: Wick penetration %, close direction, volume multiple, wick rejection %, cooldown, and optional pattern filters
Failure entry engine: Detects pivot-wick failure patterns as an alternative signal type with independent settings
Zone flip: Broken demand zones automatically flip to supply and vice versa
Liquidity value labels: Volume × price accumulated at each zone's origin bar, displayed in human-readable scale
Hold percentage: Ratio of zone tests that did not break through; used to prioritize zone strength
Trade block on sweep: Entry, stop, and two TP levels rendered as boxes and lines when a sweep confirms
Zone clustering: Overlapping zones within a minimum ATR separation are deduplicated, keeping the higher-quality zone
Backtest tracker: Win rate and expected value tracked across all sweep signals
Non-repainting: All sweep confirmations gated by barstate.isconfirmed
Institutional dashboard: 18-row table with zone statistics, sweep and failure counts, win rate, and expected value
Input Parameters
Zone Detection:
Pivot Lookback: Bars required on each side to confirm a pivot (default: 10)
Max Active Zones Per Side: Maximum simultaneous demand or supply zones (default: 8)
Zone ATR Width: Zone height as ATR multiple (default: 0.4)
Min Zone Separation: Minimum distance between zones in ATR units (default: 1.5)
Sweep Confirmation:
Min Wick Penetration %: Minimum wick extension through zone boundary
Volume Confirmation toggle and minimum volume multiple
Wick Rejection Filter toggle and minimum rejection %
Cooldown Bars Between Sweeps
Failure Entry:
Enable Failure Entry Mode toggle
Pivot lookback, wick ATR minimum, wick rejection minimum, volume confirmation, cooldown
Trade Block:
Show Trade Block toggle
RR Ratio for TP placement
SL Mode: Zone boundary or Wick extreme
SL Buffer in ATR units
How to Use This Indicator
Step 1: Identify Active Zones
Fresh zones (not yet swept) are displayed in full color. Prioritize fresh zones with high hold percentages and large liquidity values for upcoming sweep setups.
Step 2: Wait for Sweep Confirmation
A sweep is confirmed when the bar closes after the wick penetration. The trade block appears automatically with entry at the close of the confirmation bar, stop behind the zone boundary plus buffer, TP1 at 1:1 R, and TP2 at the configured RR ratio.
Step 3: Distinguish Sweeps from Failures
Standard sweeps require price to touch inside the zone boundary. Failure entries detect pivot-level failures at a higher structural level. Enable only one mode at a time to avoid conflicting signals.
Indicator Limitations
Pivot confirmation requires bars after the pivot candle. Zones are plotted with an inherent offset corresponding to the lookback length
All sweep confirmations require a bar close. Price that sweeps and reverses within the same bar without confirming on close will not generate a signal
Volume-based filters are less reliable on assets where volume data is unreported or synthetic
Zone flip mechanics assume that a broken level becomes resistance. This structural assumption does not hold in all market conditions
Originality Statement
The combination of a three-component impulse quality score at zone creation, four-layer glow box visualization, multi-condition sweep confirmation, zone flip mechanics, and a failure entry engine in a single indicator is not replicated in existing open-source Pine Script v6 publications
The liquidity value metric (volume × price at pivot origin) as a zone ranking input alongside hold percentage provides an institutional sizing dimension that simple pivot-based zone indicators do not include
The dual-mode architecture (sweep engine + failure entry engine) with independent settings for each, selectable via a single mode toggle, allows the same structural framework to address two different entry philosophies within one indicator
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Liquidity sweep patterns identified by this indicator represent historical structural events, not predictions of future price behavior. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Indicator
Indicator
ZigZag_KB_Fib_Dual_TradeWhat this indicator does
ZigZag KB Fib Dual Trade automates a Fibonacci-based trading strategy that extracts two sequential trade opportunities from a single A→B down-swing on any chart. Instead of one entry and one exit, you get a layered structure: when Trade 1 hits its take-profit, the same fib levels reframe into a Trade 2 setup automatically.
The indicator handles detection, zone calculation, state tracking, and signal generation. You watch the chart.
How it works
The script uses PulseWire's official ZigZag library to identify confirmed price swings, then filters for A→B down-swings only (high → low). On the most recent confirmed down-swing, it projects:
0.236 — Trade 1 stop loss line
0.32–0.382 — Trade 1 Entry Zone
0.618–0.68 — Trade 1 TP Zone (also Trade 2 Entry Zone)
1.0–1.05 — Trade 2 TP Zone
Trade 1
Entry: Close > 0.382 with EMA 9 / EMA 21 confirmation and volume > 1.2× 20-bar average
Take Profit: High reaches 0.618 zone
Stop Loss: Close < 0.236
Trade 2
Sequential entry: After Trade 1 TP fires, close > 0.68 with EMA + volume confirmation
Jump-in entry: If price gaps past Trade 1 entirely and closes above 0.68, Trade 2 activates directly
Take Profit: High reaches 1.0 zone
Stop Loss: Close < 0.618
Visual state machine
The indicator tracks six states and updates zone colors live:
StateVisualWaiting T1 entryEntry Zone lit + T1 TP zone lit + T2 TP dimmedIn Trade 1Same with entry arrow on trigger barT1 played → Waiting T2Entry Zone dims, 0.618-0.68 band turns to T2 Entry color, T2 TP lights upIn Trade 2Same with T2 entry arrowFully playedAll zones dimmed
A Macro swing layer (A_highest paired with B_lowest-since-A) draws in the background as dimmed gray when it differs from the active swing, giving you the bigger context behind the current setup.
Setup invalidation rules
Pre-activation: If price closes below B, the indicator anchors B to the new lower low automatically and recalculates zones — the macro A→B is preserved.
After SL hit: Setup returns to "waiting" state and can re-trigger if entry conditions are met again.
After Trade 2 TP: Setup is fully played until a new A→B forms.
Filters
EMA filter (default ON): require close > EMA 9 AND close > EMA 21 at entry
Volume filter (default ON): require volume > 1.2× 20-bar SMA at entry
Both filters are toggleable. The strategy was developed assuming both ON.
Info table
Top-right info table shows live state, A and B prices, drop %, all zone ranges, both SL levels, current price, EMA filter status, volume filter status, and macro swing context (when present).
Alerts (six conditions)
T1 Entry / T1 TP / T1 SL
T2 Entry / T2 TP / T2 SL
Settings
Pivot detection: ZigZag deviation % (default 35, tunable), minimum bars between pivots
Fibonacci levels: all six levels editable
Moving averages: EMA 9 and EMA 21 colors and widths
Zone styling: entry/TP/dimmed colors, border width, fill transparency, SL line color and width
Display: zone extension bars, info table toggle, A/B label toggle, ZigZag debug line
Recommended use
Built for the daily timeframe on NSE Indian equities, but works on 4H, 1H, and 15-minute charts as well. Tune the deviation percentage based on timeframe — higher deviation for daily (major swings), lower for intraday.
The indicator is intended to surface and structure trades for manual review, not as a fully automated trading bot. It removes the decision fatigue of calculating fib levels by hand, watching for EMA + volume confluence, and tracking trade state across two sequential setups.
Notes
Not financial advice. Test on your own market and timeframe before risking capital.
Past performance of the strategy does not guarantee future results.
The script handles state correctly on confirmed bars; intra-bar transitions may flicker until the bar closes.
Indicator
Prismatic Depth [JOAT]Introduction
Prismatic Depth is an open-source multi-pillar institutional signal filter that scores bullish and bearish market pressure across nine independent analytical dimensions simultaneously. Rather than generating a signal from any single indicator, Prismatic Depth requires a weighted composite score above a configurable threshold, a minimum directional lead between bull and bear scores, and alignment of up to five optional confirmation gates — all at the same time.
The problem this solves is signal noise. Most indicators produce signals from a single input: a moving average crossover, an RSI threshold, a volume spike. Each of these fires constantly in all market conditions, including conditions where it has no historical edge. Prismatic Depth measures nine separate market properties and only produces a signal when a statistically unusual number of them agree simultaneously. The result is a lower-frequency, higher-context signal that reflects a broader institutional consensus rather than a single technical event.
Core Concepts
1. The Nine-Pillar Scoring Architecture
Each pillar measures a distinct market property independently. Pillar weights are user-configurable and sum to produce a maximum possible score of 100. The nine pillars are:
Structure: Detects higher-high / higher-low and lower-high / lower-low sequences using confirmed pivot highs and lows. A bullish structural sequence adds the Structure weight to the bull score.
Volume: Measures the slope of On-Balance Volume using linear regression over 20 bars. A rising OBV slope contributes to the bull score; falling contributes to bear.
Momentum: Blends three momentum inputs — Kaufman Adaptive Moving Average position, RSI relative to 50, and Williams Percent Range relative to midpoint. Each sub-component is weighted equally at one-third.
Liquidity: Detects swing-low sweeps — bars where price wicks below the last confirmed swing low and closes back above it. These represent stop-hunt events followed by institutional absorption.
Volatility: Evaluates whether the ATR-to-SMA(ATR) ratio falls within a productive range (0.8 to 1.6). Markets outside this range are either too compressed for trend signals or too expanded for reliable entries.
Session: Measures the current bar's position relative to the daily session midpoint. Bars in the lower half of the daily range carry a bullish session score; bars in the upper half carry a bearish score.
Higher Timeframe: Compares current close to a 50-period EMA on a user-selected higher timeframe via request.security() with lookahead disabled.
Delta Pressure: Tracks cumulative signed volume and detects when its moving average crossing direction aligns with price movement. A Pressure Score blending the volume delta ratio, volume rate, and bar body ratio is computed.
Fractal Efficiency: Computes the Fractal Efficiency Ratio — the ratio of the net directional price move to the total path length of individual bar changes. An FER above 0.60 in conjunction with ADX above 20 passes the efficiency gate.
// Fractal Efficiency Ratio
float ferNet = math.abs(close - close )
float ferPath = math.sum(math.abs(ta.change(close)), ferLen)
float ferVal = ferPath > 0.0 ? ferNet / ferPath : 0.0
2. Weighted Score Gating
The final bull and bear scores are compared against a minimum threshold (default: 70 of 100) and a minimum directional lead (default: bull must exceed bear by at least 20 points). Both conditions must hold simultaneously before a signal is considered.
bool longSignal = bull >= threshold and (bull - bear) >= scoreGap
and inSession and noiseGate and vwmaGate and stGate and ribbonGate
3. Optional Confirmation Gates
Five binary gates can be independently enabled or disabled: VWMA(200) price relationship, Supertrend direction, 8-line HMA ribbon direction, ADX minimum threshold (noise filter), and session time filter. Each gate is AND-logic — all enabled gates must pass before a signal fires.
4. Kaufman Adaptive Moving Average
The momentum pillar uses KAMA rather than a standard moving average. KAMA adjusts its smoothing constant based on the Efficiency Ratio of recent price movement, reacting quickly during trending phases and becoming nearly flat during choppy periods.
5. 8-Line HMA Gradient Ribbon
Visual context is provided by an 8-line Hull Moving Average ribbon (using every other increment for performance while retaining the full gradient effect). A normalization factor (ribbon spread divided by its 200-bar EMA, clamped to -1 to +1) drives a color gradient from the bear theme color to the bull theme color. The gradient reflects conviction intensity, not just direction.
6. Trade Block Visualization
When a signal fires, entry, stop, and up to four take-profit levels are plotted as horizontal lines and labeled at the right edge of the chart. Risk and reward zones are shown as translucent boxes. All drawn objects are updated every bar to extend rightward until closed.
Features
Nine-pillar weighted confluence scoring: Structure, Volume, Momentum, Liquidity, Volatility, Session, HTF Trend, Delta Pressure, and Fractal Efficiency each scored independently and summed
Configurable pillar weights: Each pillar's contribution to the total score is independently adjustable
Five optional binary gates: VWMA, Supertrend, HMA Ribbon, ADX noise filter, and session filter independently toggled
Threshold and directional lead gating: Score must exceed minimum AND directional lead must exceed gap before any signal fires
Extreme signal tier: Separate threshold for extreme confluence readings with distinct visual treatment
8-line HMA gradient ribbon: rFactor-normalized color gradient reflecting momentum spread intensity vs. its 200-bar historical average, with gradient fills between all adjacent ribbon lines
Gradient glow bar coloring: Glow color mode uses barcolor() to highlight signal bars in the bull or bear theme color; when disabled, falls back to RSI-intensity gradient bar coloring
Regime background tint: Subtle chart background tint on regime transitions, clearing after 10 bars
Four TP levels with live boxes and lines: TP1–TP4 plotted as gradient green lines and translucent boxes extending right in real time
Four stop modes: Supertrend, ATR cap, fixed percentage, pivot-based
Built-in backtest tracker: Win rate, expected value in R, and trade count
Four color themes: Phantom (cyan/magenta), Neon (teal/pink), Classic (green/red), Solar (orange/blue)
Institutional dashboard: 14-row table showing all nine pillar scores, signal state, and performance metrics
Non-repainting: All signals gated by barstate.isconfirmed; HTF request.security() uses lookahead=barmerge.lookahead_off
Input Parameters
Scoring Engine:
Min Score to Signal: Minimum composite score required (default: 70)
Extreme Score: Score for extreme tier (default: 90)
Min Directional Lead: Bull-bear gap required (default: 20)
Pillar Weights:
Individual weight sliders for each of the nine pillars (defaults sum toward 100)
Trend Gates:
VWMA Gate toggle and length (default: 200)
Supertrend Gate toggle, ATR length, multiplier
Ribbon Gate toggle, base length, step
ADX Noise Gate toggle and minimum ADX value
Signal Control:
Cooldown bars between signals (default: 5)
Session filter toggle and session string
Trade Levels:
Show Trade Block toggle
Stop mode: Supertrend / ATR Cap / Fixed % / Pivot
RR multiples for TP1, TP2, TP3, TP4 (defaults: 0.5, 1.0, 1.5, 2.0)
How to Use This Indicator
Step 1: Select a Theme and Configure Gate Sensitivity
Choose a color theme that suits your chart. Start with all five gates enabled and default weights. Observe signal frequency across several recent weeks of history.
Step 2: Interpret the Dashboard Score Rows
Each pillar row in the dashboard shows its current directional score in the stronger direction. A row colored in the bull theme means that pillar is contributing to bullish confluence. The Signal row shows the final output.
Step 3: Use Signals as Context, Not Directives
A signal fires when an unusual number of market dimensions agree. It does not predict how far price will move or guarantee a profitable outcome.
Step 4: Set Stop Mode Before Live Use
The Supertrend stop mode trails the stop with the Supertrend level. ATR Cap limits maximum stop distance. Fixed % uses a fixed percentage of price. Pivot uses the last confirmed structural pivot.
Step 5: Review Backtest Statistics Skeptically
The win rate and expected value displayed are calculated from signal history on the current chart only. They reflect past performance on historical data. Optimizing weights to maximize these numbers on a single chart produces overfitted results that will not generalize.
Indicator Limitations
Pivot-based pillars (Structure, Liquidity) confirm with a lookback offset — the structural event is labeled bars after it occurred. This is non-repainting behavior inherent to pivot detection
The Fractal Efficiency gate may delay signals following sharp, fast moves where path length temporarily normalizes
High pillar weights placed on a single pillar can effectively reduce this to a single-factor indicator. Weight distribution should be reasonably balanced
The session pillar score assumes intraday context. On daily and higher timeframes, it contributes a neutral fixed value
The backtest tracker embedded in this indicator does not account for slippage, commission, or partial fills. It is not a substitute for a properly configured strategy backtest
Enabling all gates simultaneously will produce very few signals. Tune gate selection to the market and timeframe being analyzed
Originality Statement
Prismatic Depth is original in its nine-pillar architecture and the specific combination of inputs it assembles. This publication is warranted because:
The Fractal Efficiency Ratio as a scoring pillar and gate condition — measuring the directional efficiency of price movement over a lookback, distinct from ADX — is not present in existing open-source Pine Script v6 publications as of this writing
Weighted pillar scoring where the user controls the relative contribution of each dimension, combined with both a score threshold and a directional lead gap as dual gatekeeping conditions, produces a more selective output than threshold-only systems
The Delta Pressure pillar — computing a composite of volume delta ratio, volume rate versus average, and candle body compression — is an original implementation distinct from standard OBV or CMF approaches
The combination of nine independently scored dimensions with five independently toggled binary confirmation gates in a single configurable framework, with a built-in per-signal performance tracker, is not replicated in existing open-source publications
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Confluence readings are based on historical price data and do not guarantee any future market outcome. Past win rate statistics shown by the built-in tracker do not predict future performance. Always apply proper risk management. The author accepts no responsibility for trading losses resulting from the use of this indicator.
Made with passion by jackofalltrades
Indicator
SXA: Super Xtation Amplitude | MTF FrameworkSXA (Super Xtation Amplitude) is a multi-timeframe market positioning framework designed to provide a complete visual overview of price location within the broader market structure.
Rather than focusing on entry signals, SXA combines trend context, volatility, session activity, anchored VWAPs, prior-day reference levels, Fibonacci projections, and higher-timeframe moving averages into a single environment. The objective is to help traders understand where price is currently trading relative to statistically and structurally significant areas.
The indicator was built around a simple principle:
"Price behaves differently depending on where it is located within the market."
By integrating multiple forms of context into one view, SXA allows traders to quickly identify premium and discount zones, trend alignment, session-driven liquidity areas, and potential reaction levels without switching between multiple indicators.
FEATURES
• Smart Trend Engine
Multi-timeframe moving average framework designed to visualize short, intermediate, and macro directional bias.
• Dynamic Trend Clouds
Visual cloud structures help identify trend alignment and potential transition zones between bullish and bearish conditions.
• Higher Timeframe Context
Daily 50 SMA and 200 SMA provide broader market structure and long-term directional references.
• Prior Day Reference Levels
Automatic plotting of previous day's Open, High, Low, and Close.
• Fibonacci Expansion Grid
Extended Fibonacci projections derived from the previous day's range to identify potential reaction zones and liquidity targets.
• Anchored Session VWAPs
Includes:
* Daily VWAP
* European Session VWAP
* Pre-New York VWAP
* New York Session VWAP
* Post-European Session VWAP
These levels provide institutional-style references for price acceptance and value.
• Weekly Structure Levels
Dynamic weekly Open, High, and Low levels update in real time throughout the trading week.
• Session Mapping
Visual session boxes highlight important market periods, including the Asian session and Pre-New York range.
INTENDED USE
SXA is designed as a contextual decision-support tool rather than a standalone trading system.
The indicator can be used to:
* Assess overall market positioning.
* Identify trend alignment across multiple timeframes.
* Locate potential support and resistance zones.
* Track session-driven liquidity.
* Monitor volatility expansion and contraction.
* Build discretionary trade narratives.
* Enhance existing trading systems.
SXA does not generate buy or sell recommendations. Instead, it seeks to answer a more fundamental question:
"Where is price currently located within the broader market landscape?"
By providing that context at a glance, traders can make more informed decisions while reducing chart clutter and indicator overload.
Created by @Peter_n_n
Indicator
Bitcoin Cycle Highs and LowsOVERVIEW
The Bitcoin Cycle Highs and Lows indicator maps out the historical macro market cycle tops and bottoms of Bitcoin, dating back to 2011. In addition to serving as a visual map of historical market phases, the indicator features an algorithmic projection engine. This engine uses various statistical and geometric decay models to forecast the date and price of future macro highs and lows based on the asset's historical behaviour.
This tool is designed for macro-level market analysis, allowing traders to visualise diminishing returns, cycle duration trends, and phase retracements.
CHART ELEMENTS
When applied to a chart, the indicator plots several visual elements:
• Vertical Cycle Markers: Solid vertical lines identify the exact date of historical macro highs (Red) and macro lows (Lime).
• Price & Date Labels: Located at the anchor of each vertical line, detailing the exact recorded date and price (formatted automatically to the chart's active currency).
• Phase Arrows (Dashed Lines): Horizontal dashed lines connecting a low to the subsequent high (Bull Phase) or a high to the subsequent low (Bear Phase).
• Phase Statistics: Floating text labels positioned at the end of each Phase Arrow. These display the duration of the phase in days, the absolute price change, and the percentage move from the previous point.
PREDICTION MODELS
The indicator includes multiple distinct mathematical models for projecting future dates and prices.
Date Predictors:
• Previous bar count: Projects the next date by applying the exact duration of the most recent corresponding cycle.
• Average: Calculates the simple arithmetic average duration of all historical cycles of the same type.
• Weighted average: Averages previous cycle lengths but applies a mathematical recency bias, giving more weight to recent cycles to account for cycle duration stabilisation.
Price Predictors:
• Previous % move: Projects the next target by applying the exact percentage multiplier of the most recent corresponding cycle.
• Average: Projects the target using the geometric mean of all historical cycle multipliers, limiting the skew of extreme outliers.
• Diminishing gains: Analyses the cycle-over-cycle rate of change. It isolates peak-to-peak or trough-to-trough macro moves, calculates the historical decay in those percentage gains, and applies the decayed growth rate to project the next target.
• Fibonacci extension decay: Evaluates swing ratios by measuring the magnitude of a phase relative to the preceding phase (for example, how far a bull market extended past the previous bear market drop). It calculates the historical decay of that extension premium and applies it to the current swing.
SETTINGS AND INPUTS
• Predictions: Determines the number of future cycle highs and lows to project (0 to 9). Set to 0 to disable projections and only view historical data.
• Date predictor: Selects the algorithmic model used to project the X-axis (time) coordinate of future cycle points.
• Price predictor: Selects the algorithmic model used to project the Y-axis (price) coordinate of future cycle points.
• Bear/Bull market arrows: Toggles the visibility of the horizontal dashed lines and their accompanying statistical labels.
• Full height backgrounds: When true, vertical cycle markers extend infinitely across the Y-axis. When false, markers anchor precisely to the price level of the previous cycle phase, creating a stair-step visualisation.
• Ignore 2011 cycle: Excludes the extreme volatility and outliers of the 2011 cycle from the indicator's mathematical averages and trend decay calculations.
• Backtest # lows/highs: A testing feature that temporarily removes the most recent 1 or 2 historical cycle points from the dataset. This allows users to test the prediction models against known outcomes to evaluate their historical accuracy.
Indicator
Wedge Polaris [JOAT]Wedge Polaris
Wedge Polaris is a multi-pattern auto-detector. It identifies five distinct converging-channel pattern families from zigzag pivots — Ascending Triangle, Descending Triangle, Symmetric Wedge, Rising Wedge, Falling Wedge — and on confirmed breakout projects a three-target ladder (Fibonacci times ATR times historical-duration blend). Pattern statistics, breakout probabilities, target hit / miss tracking, completed-pattern history, and a right-side bias gauge are all surfaced on the chart.
What makes it different
Most wedge / triangle indicators detect a single pattern type. This script classifies five families using slope analysis of the top and bottom channels.
Collinearity tolerance is adaptive. It scales with ATR percentile so the script is strict in low-volatility regimes (clean pivots) and forgiving in high-volatility regimes (noisier pivots) without being retuned.
Breakout probability is computed from the standard-normal CDF on the z-scored duration of the current pattern against a rolling history of completed patterns. Class-conditional bull / bear probabilities are blended with net-volume polarity inside the pattern.
A strong-break filter requires the breakout candle's body Z-score to exceed three AND its 25th or 75th body percentile to be on the correct side of the boundary. This distinguishes decisive expansion from noise probes.
A completed-pattern history strip tracks the last ten patterns with their outcomes (Target 1 hit, Stop hit, expired) so you can see the recent quality of the detector on the current instrument.
How it works
Zigzag pivots are tracked via standard ta.pivothigh and ta.pivotlow with parallel arrays.
Collinearity is tested between the two outer pivots and a middle pivot. Tolerance widens in high-volatility environments.
Two collinear lines (one for highs, one for lows) form a channel. Convergence, alignment, and inside-the-channel tests confirm a valid pattern.
Slope analysis classifies the pattern family.
On breakout confirmation, target lines are projected. T1 equals entry plus or minus 0.5 times width. T2 equals entry plus or minus 1.0 times width. T3 equals entry plus or minus (1.618 times width plus atr-z times ATR). SL is symmetric at width times the user SL multiplier.
Each completed pattern's duration and direction is appended to a 200-entry history buffer, which feeds the probability statistics.
Reading the chart
Pattern channels: two lines plus a linefill between them. Line style differentiates pattern type (solid for triangles, dashed for wedges, dotted for channels).
Completed-pattern ghost outlines fade for a user-configurable number of bars after the pattern ends.
A pattern stats label at the channel midpoint reads, for example: WEDGE 23 bars P(bull) 64% P(break) 78% ATR x.xx.
A three-target ladder on confirmed breakout: entry / SL / T1 / T2 / T3 horizontal lines plus price-only right-edge labels (no arrows, no shout text). Linefills shade the risk and reward zones.
Volume confluence: if breakout-bar volume exceeds 1.5 times the 20-bar SMA, target labels append VOL+.
A right-side bias gauge: 21-segment vertical band with a pointer.
Optional right-side breakout-probability gauge (separate from bias gauge).
A completed-pattern history strip above past pattern midpoints.
A strong-break flash: bgcolor pulse on the strong-break bar.
Signals
Pattern formed
Bullish / bearish breakout
Strong bullish / strong bearish breakout
Target 1 / Target 2 / Target 3 hit
Stop loss hit
All gated on barstate.isconfirmed or barstate.ishistory. No future references.
Inputs
Zigzag : zigzag length.
Collinearity : base tolerance (as a fraction of price).
Breakout : SL width multiplier, target line extension bars.
Visual : bullish / bearish colors, bias gauge, breakout probability gauge, pattern stats label, target ladder.
On-chart : completed-pattern history, ghost outlines extension bars, line-style differentiation.
Dashboard : position, size.
How traders use this
Pattern plus volume : a confirmed breakout with the VOL+ tag and a high P(bull) reading is a higher-probability continuation entry.
Mean-reversion fades : when a wedge's third or later touch happens at the convergence apex with low P(break), the pattern often fails to break. Fade trades inside the channel are possible.
R-multiple management : once target 1 prints, common practice is to move stops to breakeven and let the remainder run for T2 / T3. The target ladder makes this straightforward.
Pattern history : the strip lets you assess whether the detector is performing well on the current instrument and timeframe before sizing up new signals.
Limitations
Pivot detection inherits the right-bar delay of ta.pivothigh and ta.pivotlow. Patterns are confirmed only after the pivot-right-window passes.
Collinearity tolerance is a heuristic. Extremely volatile or extremely clean charts may need tuning of the base tolerance.
The class-conditional probability statistics need a minimum sample (five completed patterns) before they are meaningful.
Pattern recognition is fundamentally interpretive. Even confirmed patterns fail.
Compatibility
Pine Script v6 open-source indicator. Imports PulseWire/ta/12 for ta.atr2 (series-period ATR used in duration-adaptive target projection). Any symbol, any timeframe. No request.security calls.
Defaults
7-bar zigzag, 0.5 percent base collinearity tolerance, mint / red colors, top-right medium dashboard. For very fast charts shorten the zigzag length. For slow charts lengthen it and tighten the collinearity tolerance.
Indicator
Confirmed Fibonacci with Market StructureConfirmed Fibonacci with Market Structure
-Description
A Fibonacci retracement tool for trend-continuation setups. It draws only after price has confirmed a directional move through market structure, then locks the levels in place so the pullback zone stays where it was set.
-What it does
The script applies three conditions before it draws a retracement, and once it draws, the anchors are fixed until the setup is invalidated:
- it requires a break of structure, not just any swing;
- it requires the impulse to be large enough relative to recent volatility;
- it can require agreement from the higher timeframe.
The result is a small number of retracements, drawn on moves that have shifted structure, that stay in place once set.
-How the detection works
1. Swing pivots. The script identifies swing highs and lows using pivot detection — a bar is a pivot high when it is the highest over a set number of bars to its left and right (the Pivot length input), and the reverse for a pivot low. These pivots define the prior swing and the structural reference levels.
2. Break of structure. For a bullish leg, the script takes the most recent prior swing low as the origin, then looks for an impulse high that trades above the last swing high formed before that low. Trading above that prior high is the break of structure — confirmation that buyers have shifted structure upward. The bearish case is the mirror image (a swing high origin, and an impulse low that breaks the prior swing low).
3. Displacement filter. The impulse is only accepted if its size (impulse high minus origin low) is at least a chosen multiple of ATR(14) — the Min displacement (ATR) input. Normalising to ATR judges a move on a quiet instrument and a volatile one on the same scale, and filters out small, insignificant structural breaks.
4. Draw timing. In Fast Draw mode the leg confirms on an asymmetric impulse pivot (fewer bars required to the right of the extreme), so the fib appears sooner after the high or low. With Fast Draw off, it instead waits for a completed pullback pivot before drawing — slower, but it only commits once a retracement is already underway.
-The Fibonacci leg and golden zone
When a bullish leg confirms, 0.0 is placed at the impulse high and 1.0 at the origin low, so the retracement levels measure how far price pulls back into the move (bearish legs are inverted). The shaded 0.618–0.786 band is the golden zone — the area where trend-continuation pullbacks commonly find support or resistance. A dashed line marks the broken structure level (BOS), and the impulse leg is labelled at its anchors (HH/HL for a bull leg, LH/LL for a bear leg).
-Higher-timeframe bias
The optional bias filter reads swing structure from the next standard timeframe up (for example, a 1-hour chart reads the 4-hour). That timeframe is rated bullish when its recent structure prints higher highs and higher lows, and bearish on lower highs and lower lows. With the filter on, the script only draws bullish legs in a bullish higher-timeframe context and bearish legs in a bearish one, and it clears the active leg if the higher timeframe flips against it. The request uses confirmed values with no lookahead.
-Invalidation and refresh
A bullish leg is invalidated when price closes below its origin low, with a small ATR buffer to absorb wicks; bearish legs mirror this. A leg is also cleared if it goes stale — when no new structure forms within a configurable number of bars. Until one of those happens, the anchors stay locked, so the levels on your chart are the same ones set when the leg confirmed.
-How to use it
This tool is built for trending markets and continuation trading, not ranges. The premise is simple: after a structure break and a displaced impulse, a trend often pauses and retraces before continuing in the same direction, and the golden zone is where that retracement commonly runs out of steam.
- Trade with the leg, into the pullback. On a confirmed bullish leg, treat the 0.618–0.786 golden zone as a pullback entry zone for longs — you are looking to join the move as price retraces into it, not to fade it. On a bearish leg, the same zone is where you look for shorts as price pulls back up into it.
- Use the higher-timeframe filter for alignment. Leaving HTF Bias on keeps you taking pullbacks in the direction of the larger trend, which is the context where continuation setups tend to hold up best. Turning it off shows every confirmed leg regardless of the bigger picture.
- Anchor risk to the structure the tool already marks. The origin (the 1.0 level, where the leg began) is the natural invalidation — a close back through it means the continuation idea has failed, which is also when the script clears the leg. Targets are typically toward the impulse extreme or beyond it. The BOS line shows the level whose break confirmed the move.
- Read the zone, don't blindly buy or sell it. The golden zone is an area of interest, not a trigger. Wait for your own confirmation inside it — a reaction candle, a lower-timeframe shift in structure, or whatever you normally use — before committing.
- The golden zone isn't the only level worth watching. Shallower retracements such as the 0.382 or the 0.500 often hold in strong trends that don't pull back far, while the deeper 0.618–0.786 zone tends to come into play on bigger retracements. Different instruments and timeframes react at different levels, so test which ones your pairs respect and toggle the levels you don't use off to keep the chart clean.
- Filter the chop. In ranging or low-momentum conditions a structure break is more likely to fail. Raise Min displacement (ATR) so the tool only draws on decisive moves, and set Pivot length to suit the timeframe (suggested starting points are in each input's tooltip).
-Inputs
-Structure
- Fast Draw (default on). On, the retracement is drawn as soon as the impulse, break of structure and displacement all confirm — the earliest possible draw. Off, it waits for a completed pullback pivot before drawing, which is slower but only commits once a retracement is already under way. Turning it off gives later but more conservative entries.
- Pivot length (default 8). Bars to the left and right used to confirm the structural swing highs and lows that define the prior swing and the break-of-structure reference. Higher values track larger, slower swings and draw fewer legs; lower values react to smaller swings and draw more. Rough starting points: 18 on 15m, 8 on 1h, 4 on 4h, 3 on daily.
- Impulse pivot R (default 3, Fast Draw only). The number of bars required to the right of the impulse extreme before it is accepted. Lower confirms the leg sooner after the high or low; higher waits for more confirmation, so the leg draws later but the extreme is more settled.
- Pullback pivot length (default 2, used only when Fast Draw is off). Bars left and right for the pullback pivot the script waits on before drawing. Lower draws faster on shallower pullbacks; higher requires a deeper, more developed pullback first.
- Min displacement (ATR) (default 1.5). The minimum impulse size, measured in ATR(14) units, before a structure break counts. Raising it ignores small moves and only draws on decisive ones; lowering it draws on smaller breaks too. As a guide: 0 accepts any impulse, 1.0 is modest, 1.5 is meaningful, 2.5 and up captures only major moves.
- Invalidation buffer (ATR) (default 0.25). A tolerance, in ATR(14) units, added beyond the origin before the leg is invalidated, so a single wick through the level doesn't cancel the setup. Higher gives the trade more room before it's cleared; lower invalidates more strictly.
- Max leg age (bars) (default 150). If no new structure forms within this many bars, the leg is treated as stale and cleared. Lower keeps only fresh setups on the chart; higher lets a quiet leg persist longer.
- Pivots retained (default 15). How many recent pivots the script keeps in memory to look back through when building a sequence. Higher allows it to reference older swings; lower keeps it focused on the most recent structure. Mostly affects edge cases — the default suits most charts.
HTF Bias
- Use HTF bias filter (default on). When on, the script only draws legs that agree with the higher-timeframe trend and clears a leg if that timeframe flips against it. Turning it off shows every confirmed leg regardless of the larger trend.
- HTF pivot length (default 3). Bars left and right used to read swing structure on the higher timeframe. Higher reads a broader, slower higher-timeframe trend; lower makes the bias more responsive.
Fib Levels
- 0.000 to 1.000 toggles. Switch each standard retracement level on or off independently, so you can show only the ones you trade.
- Custom level (default off, 0.75). Enables one extra level at a ratio you choose, with its own colour — useful for a level such as 0.705 or 0.79 that sits outside the standard set. Drawn alongside the standard levels.
Visual
- Colour Theme (default "Default"). Sets the dashboard colours and the fib line colour. Ten themes are included; purely cosmetic.
- 0.500 line color, Golden zone fill, Golden zone edge, Impulse line color, BOS line/label color. Individual colour controls for those specific elements, so you can tune contrast against your chart.
- Show BOS line + label (default on). Draws the dashed line at the broken structure level with a "BOS" tag. Off hides it for a cleaner chart.
- Show impulse line (default on). Draws the dashed line connecting the two anchors of the leg.
- Extend right (default on). Extends the level lines to the right of the current bar so they project forward; off ends them at the current bar.
- Price labels (default on). Shows the price value beside each level.
- Anchor markers (default on). Labels the two anchor points (HH/HL or LH/LL) of the leg.
- Info panel (default on). Shows the dashboard with structure state, higher-timeframe bias, anchor prices and how long ago the impulse confirmed.
Alerts
- Alert on new fib drawn (default on). Fires when a new bullish or bearish leg is drawn.
- Alert on Golden Zone touch (default on). Fires the first time price touches the golden zone of the active leg.
**Notes**
Swing pivots confirm a fixed number of bars after the actual high or low, so a leg appears after that confirmation delay rather than at the exact extreme — this is inherent to pivot-based detection. Once drawn, anchors are locked and do not move. The higher-timeframe bias uses confirmed values without lookahead, so it does not repaint on historical bars, though like any higher-timeframe data it can update within a forming higher-timeframe bar in real time. These levels are decision support, not buy or sell signals.
**Disclaimer**
This indicator is for educational and informational purposes only and is not financial or investment advice. Past performance does not guarantee future results. Always do your own analysis and manage your own risk.
Indicator
Indicator
Indicator
Indicator
Indicator
POC MONTHLY + PIVOTPOC Monthly + Pivot — Code Explanation
This is a Pine Script v5 PulseWire indicator that combines two powerful concepts: Monthly Volume Profile (with POC/VAH/VAL) and Swing Support & Resistance levels. Here's a breakdown: 1. User Inputs
pinerows = 48 // How many price rows to split the month into
va_pct = 70 // Value Area = 70% of total volume
lookback = 10 // How many bars to look back for swing highs/lows
rs_len = 8 // Visual length of S/R lines (in bars)
Plus color and style settings for boxes, POC line, and volume bars.
📐 2. Support & Resistance (Swing High/Low)
pineswingHigh = ta.pivothigh(high, lookback, lookback)
swingLow = ta.pivotlow (low, lookback, lookback)
Detects pivot highs (Resistance) and pivot lows (Support) using PulseWire's built-in functions.
For each detected swing, it draws:
A horizontal line centered on that bar
A label showing "R 1234.56" (above) or "S 1234.56" (below)
Red = Resistance, Green = Support
📊 3. Monthly Volume Profile — Data Collection
This is the heart of the indicator. It tracks volume per price row within each month.
New Month Detection
pineis_new_month = ta.change(time("M")) != 0
When a new month begins:
The previous month's data is saved (prev_high, prev_low, prev_vol , prev_start)
Current month arrays are reset to zero
Volume Distribution
Each candle's volume is distributed across the price rows it spans:
pinerow_size = (month_high - month_low) / rows
candle_vol = volume / number_of_rows_spanned
This spreads each candle's volume proportionally across all rows it touches — a simplified but effective TPO-style volume profile.
🎨 4. draw_profile() — The Drawing Function
This function does all the visual work for a given month's data:
Step 1 — Find the POC (Point of Control)
pine// Row with the highest volume = POC
The POC is the price level where the most volume was traded that month.
Step 2 — Calculate Value Area (VAH & VAL)
Starting from the POC, it expands outward (up or down, whichever row has more volume) until 70% of total volume is captured:
VAH = Value Area High (top of the 70% zone)
VAL = Value Area Low (bottom of the 70% zone)
Step 3 — Draw Everything
ElementWhat it isbox (big)The Value Area rectangle (VAL → VAH)box (small, per row)Individual volume bars — wider = more volumePOC rowRed-tinted barValue Area rowsTeal-tinted barsOutside VA rowsGray barsPOC lineRed horizontal line across the monthLabelsVAH, POC, VAL prices on the right edge
🔄 5. When Does It Draw?
pine// Draw PREVIOUS month's profile when a new month starts
if is_new_month and not na(prev_high) ...
draw_profile(prev_vol, ...)
// Draw CURRENT month's profile (live, updating) on the last bar
if barstate.islast and not na(month_high) ...
draw_profile(vol_by_row, ..., bar_index + 10)
Past months: drawn once when the month closes ✅
Current month: redrawn live on every new bar, extending slightly to the right (+10 bars) 🔄
🧠 Key Concepts Summary
POC → Price with most volume = strongest magnet/fair value
VAH → Top of Value Area → potential resistance
VAL → Bottom of Value Area → potential support
R/S → Swing pivot levels for short-term structure
The idea is that price tends to return to the POC and respect VAH/VAL as key zones — combining this with swing levels gives you a layered view of where the market has found value and where it may react. Indicator
Adaptive Regression Fibonacci Channel# Adaptive Regression Fibonacci Channel
Adaptive Regression Fibonacci Channel is a trend analysis tool that combines Linear Regression with Fibonacci-based channel levels to create a dynamic framework for identifying support, resistance, pullback, and trend continuation zones.
Unlike traditional Fibonacci retracements that require manually selected swing highs and lows, this indicator automatically calculates a regression trend line and builds an adaptive channel around recent price action.
## Features
• Dynamic Linear Regression Trend Line
• Adaptive Upper and Lower Channel Boundaries
• Automatic Fibonacci Levels:
* 0.236
* 0.382
* 0.500
* 0.618
* 0.786
• Real-Time Volatility Adjustment
• Dynamic Support and Resistance Visualization
• Compatible with Any Market and Timeframe
## How It Works
The indicator calculates a Linear Regression line using the selected lookback period.
It then measures the maximum deviation between the regression line and recent price extremes to create an adaptive channel that reflects current market conditions.
Fibonacci levels are distributed proportionally between the upper and lower channel boundaries, providing additional reference zones that may act as potential support, resistance, or reaction areas.
## Typical Applications
• Trend Analysis
Monitor the position of price within the channel structure.
• Pullback Identification
Use intermediate Fibonacci levels to identify potential retracement areas during established trends.
• Support and Resistance Mapping
Dynamic Fibonacci bands can highlight areas where price may react.
• Market Structure Assessment
Evaluate whether price is trading near channel extremes or near its regression mean.
## Notes
This indicator is designed as an analytical tool and should be used alongside other forms of technical analysis and risk management techniques.
No indicator can predict future market movements with certainty.
## Keywords
Linear Regression, Fibonacci Channel, Fibonacci Bands, Trend Analysis, Dynamic Support Resistance, Adaptive Channel, Market Structure, Technical Analysis, Price Action, PulseWire
Short Description:
Dynamic Fibonacci channel built around a Linear Regression trend. Automatically adapts to market structure and volatility to highlight potential support, resistance, pullback, and trend continuation zones. Indicator
Indicator
Indicator
ORB WindowsA clean, fully configurable Opening Range Breakout indicator with up to three simultaneous time windows. This script lets you define your own windows. Set them to whatever your session or strategy calls for.
Three configurable windows
Each window tracks its own high and low independently. Window 1 defaults to 5 minutes, Window 2 to 15 minutes, Window 3 to 60 minutes (hidden by default). Set any window to whatever range you want. Lines are visually differentiated: W1 is solid, W2 is dashed, W3 is dotted.
Break and confirm markers
Two signals per level, per window:
Small triangle — price ticked through the level (break)
Larger triangle — candle closed through the level (confirmation)
Filtering on close confirmation reduces noise from wicks and fakeouts.
Range label
When each window locks in, a label shows the high, low, and range size in both points and percentage. Useful for quickly assessing whether the ORB is tight or wide before deciding how to trade the break.
Formation window highlight
A subtle background color marks the W1 formation period so you can see exactly which candles built the range.
12 alert conditions
Four per window: break above, break below, close above, close below. Wire them up however your workflow calls for.
Settings
ORB Windows: set the duration (in minutes) for each of the three windows
Visibility: toggle each window, markers, range label, and formation highlight independently
Colors: fully customizable per window
Designed for intraday use. Works on any liquid instrument with a defined regular session. Indicator
Indicator
Falcon AI Lite | SMC Signal OverlayFalcon AI Lite is a free educational overlay that marks the two foundational Smart Money Concepts (SMC) patterns — Break of Structure (BOS) and Order Block (OB) — and highlights the zones where they align in confluence.
What it shows
▲ Green triangle (below bar) — Bullish Break of Structure
▼ Red triangle (above bar) — Bearish Break of Structure
● Gray dots — Tracked swing high/low levels
◆ Gold "FAL" label — 2-factor confluence: BOS + Order Block retest
When a gold "FAL" label appears, it means a Break of Structure has occurred AND price has pulled back into the relevant Order Block zone within the active session — the foundational SMC entry concept.
How to use it
1. Add to a 30-minute chart of MNQ or your preferred CME futures contract
2. Adjust the Session Window input to match your active trading hours
3. Observe how the FAL labels mark setups you might consider studying or trading
4. Your entry decision, your stop, your target, your risk management
Why SMC works
Smart Money Concepts is a market-structure-based methodology used by institutional traders. The Break of Structure confirms a directional shift in the market; the Order Block identifies where institutional orders were filled before the impulsive move. Watching for price to retest the Order Block after a BOS gives a higher-probability location for trade ideas than either signal alone.
What this is NOT
This indicator does NOT place trades. It does NOT backtest. It does NOT calculate position sizing. It does NOT include stop-loss or take-profit logic. It is an educational overlay for studying the SMC patterns — nothing more.
The full Falcon AI system uses 12-factor AI-weighted confidence scoring across 4 SMC patterns (Fair Value Gaps, Liquidity Sweeps, Displacement, plus the patterns shown here), with multi-timeframe HTF bias filtering, live news event suppression (FOMC, CPI, NFP), and 4 backtested chart configurations validated via 3-year walk-forward (May 2023 → May 2026). Total combined backtested net: $1.23M, average win rate 90.16%, profit factor 3.49.
If you want the full system, see thefalconai.com — 14-day free trial, transparent methodology, real LLC, real refund policy.
Recommended timeframes
Optimized visualization for the 30-minute chart on MNQ. Also works on 15-minute and 1-hour. The 5-minute and below will produce too many noise signals.
Disclaimer
Educational technology only. Not financial advice. Past pattern formations do NOT guarantee future price behavior. The signals shown here are pattern detections, not trade recommendations. Always apply your own risk management. Use a stop loss. Size positions appropriately. Trading futures involves substantial risk of loss.
Falcon AI is operated by The Marko Family Group LLC (Florida, USA) and is NOT a registered investment adviser, broker-dealer, or NFA member.
Full system at thefalconai.com Indicator
Indicator
