Indicator
CORTEX MULTI-TIMEFRAME POI ENGINE# CORTEX MULTI-TIMEFRAME POI ENGINE
The CORTEX MULTI-TIMEFRAME POI ENGINE is a rules-based PulseWire indicator designed to identify, qualify, and manage supply-and-demand Points of Interest across multiple structural timeframes.
Rather than marking every pivot, opposing candle, or conventional order block, CORTEX applies a structured qualification process built around confirmed market structure, consolidation quality, displacement, retracement depth, imbalance, liquidity proxies, and breaker-block behavior.
## Multi-Timeframe Market Structure
CORTEX organizes market location into three distinct layers:
- **Daily POIs** establish higher-timeframe macro location.
- **H4 POIs** identify intermediate structural areas.
- **M15 and M5 AM-session POIs** support intraday refinement on NQ and ES.
Daily, H4, M15, and M5 layers are independently controlled, allowing traders to reduce chart clutter and focus only on the context relevant to their current workflow.
## POI Qualification
A standard CORTEX POI progresses through an objective detection pipeline:
1. Meaningful retracement
2. Compressed base formation
3. Institutional Footprint Candle refinement
4. Directional displacement
5. Mandatory break of structure
6. Liquidity and imbalance evaluation
7. Width and location validation
8. Transparent quality scoring
9. Confirmed zone creation
Break of structure is mandatory. Additional characteristics contribute to a configurable quality score rather than relying on unexplained probability claims.
Available qualification modes include:
- **Loose** for broader structural identification
- **Balanced** for the recommended combination of quality and frequency
- **Strict** for selective, higher-confluence zones
- **Custom** for complete user control
## Breaker-Block Fusion
The engine includes an independently developed ICT breaker-block module.
A potential order block becomes a breaker only after a later confirmed candle closes through its opposite boundary. Wick-only violations do not qualify.
Breaker blocks may:
- Create standalone breaker POIs
- Add confluence to existing supply or demand zones
- Merge with overlapping, same-direction POIs
- Refine the final area to the valid price intersection
- Increase the zone’s score without exceeding 100
Merged areas are classified as **Breaker-Confluent POIs**, helping distinguish ordinary structural zones from areas supported by a confirmed failed-block transition.
## CORTEX AM Session POI Layer
The intraday module is designed specifically for NQ and ES during the default **08:00–11:00 America/New_York** session.
It provides:
- M15 POIs on M15 and M5 charts
- M5 POIs on M5 charts
- Automatic daylight-saving adjustment
- Automatic NQ and ES futures-root recognition
- Optional manual instrument override
- Confirmed post-session BOS allowance
- Independent demand, supply, timeframe, and display controls
Mandatory default width limits are:
- **NQ: 250 ticks**
- **ES: 40 ticks**
Zone width is calculated using the instrument’s native minimum tick size. Candidates exceeding the applicable limit are rejected before publication.
## Transparent Scoring
Each POI receives an objective score from 0 to 100. Depending on the selected mode and timeframe, the score may incorporate:
- Confirmed BOS
- Base quality
- Retracement depth
- Departure strength
- Liquidity sweep
- Fair-value gap or imbalance
- Resting-liquidity proxy
- Breaker-block confluence
Scores and classifications can be displayed directly on zone labels and in the Data Window.
## Zone Lifecycle Management
Every confirmed POI is actively managed through the following lifecycle:
- **Fresh**
- **Tested**
- **Mitigated**
- **Invalidated**
- **Expired**
Users can configure mitigation and invalidation behavior, retain invalidated zones for historical review, and control how long intraday zones remain available.
## Non-Repainting Design
CORTEX uses confirmed source-timeframe information for zone creation.
Higher-timeframe results are transported using confirmed historical offsets, preventing unfinished Daily, H4, M15, or M5 candles from publishing premature zones. A confirmed POI may be anchored to its original footprint candle, but it does not become logically active before its qualifying structure is complete.
This deliberate confirmation delay is intended to support stable behavior across:
- Historical charts
- Realtime execution
- PulseWire Bar Replay
## Diagnostics and Alerts
The CORTEX diagnostics dashboard reports:
- Latest qualification stage
- Signals detected
- Candidates awaiting BOS
- Width-filter rejections
- Breaker flips
- Zones retained
- Session status
- Detected instrument
- Applicable tick limit
- Chart-timeframe compatibility
Alerts are available for new POIs, breaker zones, confluence, first tests, mitigation, and invalidation. Alerts should be configured for **Once Per Bar Close**.
## Intended Workflow
CORTEX is designed to support a top-down process:
1. Use Daily zones to establish macro location.
2. Use H4 zones to refine structural context.
3. Use M15 zones for intraday directional areas.
4. Use M5 zones for lower-timeframe refinement.
5. Evaluate price behavior at qualified zones rather than treating every zone as an automatic entry.
CORTEX does not claim to identify actual institutional orders. Supply, demand, liquidity, imbalance, and breaker classifications are objective technical proxies derived from price action.
This indicator is an analytical framework—not financial advice or a guarantee of future performance. Traders should combine it with appropriate confirmation, risk management, and independent judgment. Indicator
TL Structure Pro - Mechanical SMC Engine: BOS, CHoCH, SweepsTL STRUCTURE PRO — Mechanical Smart Money Concepts (SMC) Engine: Market Structure, BOS/CHoCH, Liquidity Sweeps, Supply & Demand POI, FVG, Sessions, Signals & Webhook Automation
WHAT THIS INDICATOR DOES
TL Structure Pro turns a complete, fully mechanical Smart Money Concepts (SMC) trading model into one indicator. It automates the exact rule set many price-action traders apply manually: market structure mapping (HH/HL/LL/LH), Break of Structure (BOS), Change of Character (CHoCH), liquidity sweeps, supply and demand points of interest (POI), fair value gaps (FVG/imbalance), session timing (Asia / Frankfurt / London), a two-step entry model with internal realignment, and rule-based trade management with break-even logic — all with zero discretion and zero repainting (the engine only works on confirmed/closed candles).
Every element is drawn and labeled directly on the chart, so you can SEE why each signal happened: every zone is named, every structure point is tagged, and every BUY/SELL label explains its own reason.
THE MECHANICAL RULE SET (HOW IT THINKS)
1. BREAK & CLOSE RULE — A swing high/low only counts as broken when a candle BREAKS AND CLOSES beyond it. A wick through the level without a close is NOT a break.
2. LIQUIDATION ($) — If price wicks beyond a swing but fails to close beyond it, the indicator prints a "$" marker: that was a liquidity sweep / liquidity grab, not a break. These sweeps often precede reversals.
3. PULLBACK RULE — A new swing high/low is only confirmed after a valid pullback: N opposing candles in a row (default 3) with successive closes. No valid pullback = no new structure point; the move is just internal noise.
4. BOS — Break of Structure in the direction of the trend = continuation. Drawn as a gold dashed line with a BOS label.
5. CHoCH — Break & close AGAINST the current direction = Change of Character. Bias flips (bullish <-> bearish). Drawn in pink. After a bearish CHoCH the engine only looks for shorts; after a bullish CHoCH only longs.
6. POI ZONES — On every qualifying break the engine stores two zones: the DECISIONAL candle (last opposing candle before the breaking impulse) and, on CHoCH, the ORIGIN (last opposing candle at the origin of the impulse). Zones are drawn as labeled supply/demand boxes, extended in time, marked as "tapped" on first touch and deleted when invalidated by a close beyond them.
7. FVG / GAPS — Three-candle imbalances above a minimum size are boxed and removed once filled ("gaps get filled").
8. SESSIONS — Asian session, Frankfurt open and the London trade window are boxed with configurable times and timezone (defaults follow GMT+4 / Dubai time as in the original model: London window 11:00–14:00).
THE ENTRY MODEL (WHEN A SIGNAL FIRES)
A signal needs three conditions in sequence — the same checklist is shown live in the cockpit panel:
Step 1 — BIAS: structure must be clearly bullish or bearish (after BOS/CHoCH).
Step 2 — POI TAP: price returns INTO a supply zone (bearish bias) or demand zone (bullish bias) or a matching FVG. The setup is now "armed".
Step 3 — INTERNAL SHIFT (REALIGNMENT): inside the POI, the smaller internal structure (pivot-based, the "lower timeframe inside your chart") must shift in trade direction — a close beyond the last internal pivot. Only then a BUY/SELL label prints.
Risk placement is automatic and printed on the chart:
• ENTRY = close of the trigger candle
• STOP LOSS = POI extreme + a pip buffer (default 3.5 pips — capital preservation first)
• TAKE PROFIT = the weak swing low/high of the current range (structure target)
• R multiple of the setup is calculated and shown on the signal label
• BREAK-EVEN: once the trade runs the configured R distance (default 1R), the panel/alert moves the stop logic to break-even; TP hit, SL hit and BE exit are all labeled on the chart.
THE COCKPIT PANEL
The side panel shows: current bias, the live SMC checklist (structure / pullback / liquidity sweep / POI tap / entry shift / management) with OK-status per rule, active session window, structure timeframe and internal pivot length, SL buffer, current position with entry/SL/TP, the last signal with its R multiple, and a counter of active supply/demand/FVG zones. If a checklist row shows "‥" you immediately know which condition is still missing before the next signal can fire.
HOW TO USE IT — STEP BY STEP
1. Add the indicator to a clean chart. Recommended: liquid FX pairs (GBPUSD, EURUSD), gold (XAUUSD) or indices, timeframes M5–H1 for the session-based model (M15 is the classic choice). It works on any symbol/timeframe; sessions display on intraday charts up to 1h.
2. Set your timezone and session times in group ④ if you do not trade the default GMT+4 windows. Enable "Signals ONLY inside London window" if you want to trade the London session model strictly.
3. Read the structure first: follow the SWING HIGH / SWING LOW lines, the HH/HL/LH/LL tags and the BOS/CHoCH lines until you understand the current bias (also shown in the panel).
4. Watch the zones: price returning into a labeled SUPPLY/DEMAND (DECISIONAL/ORIGIN) box or FVG arms the setup — the panel switches to "ARMED (POI tapped)".
5. Wait for the printed BUY/SELL label — never front-run it. The label shows the R multiple and the reason (POI TAP + SHIFT); the tooltip lists entry, stop and target.
6. Manage by the printed levels: entry line (gold), SL line (pink, includes the pip buffer), TP line (mint, the weak swing). BE marker prints when break-even logic activates.
7. Tune mechanically, not emotionally: "Pullback rule candles" (2–5) controls how strict new structure confirmation is; "Internal pivot length" controls how fine the entry trigger is (smaller = earlier, noisier); "Min gap size" filters small FVGs; "Max zones" limits chart clutter.
8. Hover anything: every label, zone and marker has an explanatory tooltip, so the chart teaches the model while you trade it.
ALERTS & WEBHOOK AUTOMATION
Create ONE alert with condition "Any alert() function call" and paste your webhook URL — the indicator sends ready-to-parse JSON for every event:
{"id":"TL-STRUCTURE-PRO","symbol":"GBPUSD","action":"SELL","price":1.27201,"sl":1.27236,"tp":1.26350,"rr":"24.30","tf":"15","time":"2026-07-18 12:45"}
Actions: BUY, SELL, BREAK_EVEN, TP_HIT, SL_HIT, plus optional BOS_UP/BOS_DOWN/CHOCH_UP/CHOCH_DOWN. This makes the indicator plug-and-play with trade-automation bridges, bots and journaling tools. Classic alertconditions (BUY/SELL/BOS/CHoCH) are also available for simple popup/app notifications.
NON-REPAINT BEHAVIOUR
All structure logic, zones and signals are computed on CONFIRMED candles only (barstate.isconfirmed). Once printed, BOS/CHoCH lines, zones and signal labels do not repaint. Alerts fire on bar close.
NOTES
• The R multiples shown are the structural setup quality, not a performance promise. Nothing here is financial advice — backtest and forward-test before risking money.
• The panel is a table: if your main chart series is set above indicators, use right-click on the indicator legend -> Visual order -> Bring to front.
• Best visual experience with the dark PulseWire theme (the indicator brings its own navy chart theme, mint/red candles and paints the future margin).
Concepts covered: Smart Money Concepts, SMC, ICT-style market structure, break of structure, change of character, liquidity sweep, liquidity grab, stop hunt, supply and demand zones, order block style POIs, decisional candle, origin, fair value gap, imbalance, premium discount, London session, killzone, session trading, scalping, day trading, price action, forex, gold, indices, webhook automation, algo bridge.
Indicator
Multi-Confluence Signal Engine [MarkitTick]💡 A confluence-weighted signal engine that scores trend, momentum, volume, and market-structure conditions independently, then blends them into two composite 0–100 readings — a Bull Score and a Bear Score — to identify moments where multiple independent forces align in the same direction. Rather than reacting to one indicator crossing one line, this script asks four different questions about price behavior at once and only flags a signal when the weight of evidence clears a threshold you control.
✨ Originality and Utility
Most confluence or "confirmation" scripts on PulseWire work by checking a fixed list of conditions and requiring all of them, or a majority of them, to be true — a rigid AND/OR gate. This script instead builds four independent sub-scores (Trend, Momentum, Volume, Structure), each internally weighted by the relative importance of its own components, and then combines those four legs using user-defined percentage weights into a single continuous score. The practical difference is that a trader can decide, for example, that market structure matters twice as much as volume for their instrument, and the engine will respect that priority mathematically rather than treating every condition as equally binary.
The engine does not stop at "yes/no." Each leg produces a 0–100 magnitude, visible individually on the dashboard, so a trader can see not just that a signal fired but which of the four legs was doing the heavy lifting. A signal driven primarily by Structure (a break of a swing high with rising highs and lows) has a different character than one driven primarily by Volume (a spike on an up-close candle), even if both produce the same final score. This decomposition is what separates the tool from a simple scoring checklist: the score is diagnostic, not just directional.
On top of scoring, the script layers a full trade-management shell: ATR-based stop placement, three R:R-defined take-profit levels, a minimum-bar-gap cooldown to prevent signal clustering, a minimum score-gap requirement between the bull and bear reading to avoid firing on a coin-flip, an optional higher-timeframe trend filter, and an optional ATR-based volatility filter to suppress signals during dead, choppy conditions. This turns a scoring model into a usable end-to-end signal-and-management framework rather than a standalone oscillator.
🔬 Methodology and Concepts
• Trend Leg
The trend component is built from three EMAs — Fast, Slow, and Macro — calculated with a manual recursive EMA function rather than the built-in, giving explicit control over the smoothing seed. Four conditions are checked: whether the Fast EMA sits above (or below) the Slow EMA, whether price trades above (or below) the Macro EMA, and whether the Fast and Slow EMA slopes (measured as simple rate-of-change over a lookback window) are rising or falling. Each condition contributes a fixed point value toward either the bullish or bearish trend sub-score, weighted so that the Fast/Slow EMA relationship and the price-vs-Macro relationship carry the most influence, with slope direction acting as a secondary confirmation.
• Momentum Leg
Momentum blends RSI positioning relative to a configurable midline, MACD line-vs-signal crossover state, and MACD histogram direction (rising or falling versus the prior bar). Each of the three contributes roughly a third of the momentum sub-score, meaning momentum only reads as strongly bullish or bearish when oscillator position, trigger-line relationship, and histogram acceleration all agree.
• Volume Leg
Volume scoring looks for two things: whether current volume exceeds a multiple of its moving average (a "spike") occurring on a candle that closed in the corresponding direction, and whether volume is simply expanding bar-over-bar in that same direction. A volume spike on a directional candle carries the larger weight, since an expanding-but-unspiked volume reading is a weaker signal of conviction than an outright surge.
• Structure Leg
This is a swing-based market-structure read. Pivot highs and lows are detected with a symmetric lookback window (a bar must be the extreme point within a window of bars on both sides to qualify), and the script tracks the two most recent pivot highs and two most recent pivot lows. A bullish structure state requires both the pivot highs and pivot lows to be printing progressively higher (higher highs, higher lows); a bearish state requires the mirror condition. Separately, the script tracks a "break of structure" — price closing beyond the last confirmed pivot high or low in a direction that differs from the currently tracked structural bias — as an additional, heavier-weighted structural signal.
• Composite Scoring
The four leg scores are combined using a weighted average, where the weights (Trend / Momentum / Volume / Structure) are fully configurable and normalized against their own sum, so the four percentages do not need to add to exactly 100 to remain internally consistent. The result is a Bull Score and a Bear Score, each independently ranging from 0–100, which are then bucketed into Strong, Medium, Weak, or None tiers based on two adjustable thresholds.
• Signal Confirmation Logic
A raw long or short condition requires the relevant score to clear the Medium threshold, the gap between the bull and bear scores to exceed a minimum separation (preventing signals when both sides are nearly tied), an optional higher-timeframe trend agreement check, an optional minimum-volatility check using ATR as a percentage of price, and a minimum bar-count since the last signal in that direction. Signals are only confirmed on a closed bar (barstate.isconfirmed), so the plotted signal state does not repaint on the current, still-forming bar.
• Higher-Timeframe Filter
When enabled, the script requests the prior, fully closed value of price and a slow EMA from a higher timeframe using an offset lookback, which is the standard non-repainting method for pulling higher-timeframe context — it deliberately reads the last confirmed HTF bar rather than the in-progress one, so this filter does not introduce forward-looking bias.
🎨 Visual Guide
• Heatmap Candles
When enabled, candle bodies, wicks, and borders are recolored using the Bull/Bear/Neutral color inputs based on which composite score currently leads and whether it clears the Medium tier — teal-family for a leading bull score at or above Medium, red-family for a leading bear score at or above Medium, and gray for anything below that threshold on both sides.
• EMA Lines
Three plotted lines track the Fast EMA (blue by default), Slow EMA (orange by default), and Macro EMA (purple by default). Their relative position and slope are the visual counterpart of the Trend Leg's underlying math.
• Score Labels
When a long signal fires, a label appears below that bar showing the rounded Bull Score. When a short signal fires, a label appears above that bar showing the rounded Bear Score. These give an at-a-glance read of how strong the triggering signal was without opening the dashboard.
• Trade Levels
On a confirmed signal, the script draws a full set of horizontal levels: a Stop-Loss line (red, with an "✕ SL" label), an Entry line (blue dashed, "▶ Entry" label), and three Take-Profit lines at increasing R:R multiples (teal dashed, "◆ TP1", "✦ TP2", "◆ TP3" labels, with opacity increasing from TP1 to TP3). Shaded fills connect Entry-to-Stop (risk zone) and Entry-to-TP3 (reward zone) so the risk/reward geometry is visible at a glance. These levels extend forward automatically as new bars form and are replaced whenever a fresh signal fires, unless the Lock Signal input is enabled, in which case the current level set is frozen and new signals are suppressed from redrawing them.
• Dashboard
An optional on-chart table (position configurable to any corner) summarizes, per bar: the current lock state, the Bull Score and Bear Score as filled progress bars with a percentage, the Bull Tier and Bear Tier classification, each of the four leg scores as its own progress bar, the current volume ratio versus its moving average, and the current ATR as a percentage of price. The progress bars use a three-color scale (teal / amber / red) based on how far the underlying reading sits from its maximum, giving a quick visual read of leg strength without needing to interpret raw numbers.
📖 How to Use
A long condition is flagged only when the Bull Score clears the Medium threshold, leads the Bear Score by at least the configured minimum gap, and passes whichever optional filters (HTF trend, volatility) are enabled — the mirror logic applies to short conditions. The dashboard's per-leg bars are useful for judging signal quality beyond the headline score: a Strong-tier signal backed by all four legs reading high is generally a more complete confluence than one where the composite score is inflated mostly by a single leg such as Volume.
The Lock Signal input is intended for reviewing a specific historical signal's levels without them being overwritten as price continues to move — enable it to freeze the current Entry/SL/TP level set in place, and disable it to resume normal level updates on the next fresh signal.
Because trade levels are geometric projections from ATR and R:R inputs at the moment of signal, not a guarantee of price reaching those levels, they should be read as a structured reference for planning position size and exits rather than a forecast.
⚙️ Inputs and Settings
• Core Settings
Strong and Medium thresholds define the score tiers; the Minimum Bars Gap enforces a cooldown between signals in the same direction; the Minimum Score Gap requires clear separation between Bull and Bear scores before either can fire; the four Leg Weight inputs control how much each of Trend, Momentum, Volume, and Structure contributes to the composite score.
• Trend Leg
Fast, Slow, and Macro EMA lengths, plus the lookback window used to measure EMA slope direction.
• Momentum Leg
RSI length and midline, plus MACD fast/slow/signal lengths.
• Volume Leg
The moving-average length volume is compared against, and the multiplier that defines a "spike."
• Structure Leg
The symmetric lookback window used to confirm a swing pivot high or low.
• Filters
Optional higher-timeframe trend agreement filter (with selectable timeframe) and an optional ATR-based minimum-volatility filter, each of which can independently suppress signals that would otherwise fire.
• Trade Tools
ATR multiplier for stop distance, R:R multiples for the three take-profit levels, a toggle to show or hide the drawn levels, and the Lock Signal toggle to freeze the current level set.
• Visuals
Toggles for heatmap candle coloring, EMA line visibility, and score labels on signals.
• Dashboard
Toggle to show or hide the on-chart summary table and a dropdown to choose which corner it docks to.
• Alerts
Custom text strings for the long, short, close-long, and close-short alert JSON payloads, letting the alert output be adapted to match the syntax expected by an external webhook or automation endpoint.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Trend-Following Theory
The EMA-based trend leg draws on the long-standing empirical observation, formalized in academic momentum and trend-following literature, that asset prices exhibit serial correlation over intermediate horizons — trends, once established, have historically had a higher-than-random probability of persisting over the following period. Dual and triple moving-average crossover systems are among the earliest systematized expressions of this idea, and the slope-of-the-average component reflects the concept of trend "velocity" used in later technical and quantitative trend-strength research.
• Oscillator and Convergence-Divergence Theory
RSI, developed by J. Welles Wilder, is grounded in the idea that the ratio of average gains to average losses over a lookback window reflects the relative strength of buying versus selling pressure, oscillating within bounds that can indicate overbought/oversold conditions or, as used here, simple directional bias relative to a midline. MACD, developed by Gerald Appel, formalizes convergence and divergence between two exponential averages of differing sensitivity; the histogram (the difference between the MACD line and its own signal line) captures acceleration or deceleration in that relationship, which is the specific behavior this script isolates when checking histogram direction.
• Volume-Price Confirmation Theory
The volume leg reflects classical Dow Theory and later volume-price-analysis principles holding that price moves accompanied by above-average volume carry more conviction than moves on thin volume, since volume is treated as a proxy for the degree of market participation and consensus behind a price change.
• Market Structure and Price-Action Theory
The structure leg operationalizes the concept of market structure as used in classical Dow Theory (a sequence of higher highs and higher lows defining an uptrend, and the reverse for a downtrend) and its more recent "break of structure" formalization in price-action and smart-money-concept methodologies, where a close beyond a prior swing point is treated as evidence of a shift in the controlling side of the market.
• Weighted Multi-Factor Aggregation
Combining independently normalized sub-scores via user-adjustable weights mirrors the logic of multi-factor models in quantitative finance, where distinct signal families (trend, momentum, volume, structure/mean-reversion) are each scored on a common scale and then blended, rather than relying on any single factor in isolation — the underlying premise being that signal families with low correlation to one another produce more robust composite readings than any single family alone.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Mini SMC Screener I EonMetrics Mini SMC Screener
Mini SMC Screener watches up to 5 symbols at once and answers a question no single-chart indicator can: WHERE is something happening right now. Instead of flipping through charts, you read one small table: market structure direction and the freshest Fair Value Gap event for every symbol on your list.
HOW IT WORKS
The script scans each symbol on the timeframe you choose (empty = chart timeframe) and reports two independent readings per symbol.
🔵Structure — a strict MSS/BOS engine. Swing points are confirmed pivots (a candle with N higher/lower candles on both sides). A close above the last confirmed swing high in a downtrend is a Market Structure Shift to bullish; a close below the protected swing low in an uptrend shifts structure bearish. Between shifts, breaks of structure in trend direction keep updating the protected level. The column shows the current state: ▲ Bull or ▼ Bear.
🔵FVG — a three-candle imbalance tracker. A Fair Value Gap forms when the first and third candle of a three-candle sequence do not overlap (the low of the newest candle stays above the high of the candle two bars back, or the mirror for bearish). The gap between them is unfilled territory. The engine registers a gap only when its height clears an ATR-based minimum size, keeps it active until price trades through its far edge (a full fill), and reports the freshest of two events:
- New — a qualifying gap just formed (displacement is happening now)
- Retest — price traded back INTO a still-open gap (the return many traders wait for)
Each event ages out of the table after a configurable number of bars, so the column only ever shows fresh information — an FVG event from 200 bars ago is not a setup and is not displayed.
Why the two are combined in one script: they answer the two halves of the same scanning question. Structure tells you the directional context of a symbol; the FVG event tells you that something tradeable is happening there right now. One without the other is either context with no trigger, or a trigger with no context — a scanner needs both on one row to be useful.
KEY FEATURES
- 5 symbol slots, each with its own on/off toggle — defaults cover crypto, forex, gold and an index; replace them with your own watchlist
- Structure column: live Bullish / Bearish read from confirmed swing pivots (non-repainting state machine — the state changes only on a confirmed close through a level)
- FVG column: New / Retest events with age in bars ("now", "3b", …); the cell background lights up when the event happened on the current bar
- ATR size filter — noise-sized gaps never make it into the table
- Freshness windows for FVG events, so stale signals disappear on their own
- Alerts: per-symbol alert() messages (structure flips, new FVG, FVG retest) plus two named conditions — "Structure flip (any symbol)" and "FVG event (any symbol)"
- Scan timeframe input — scan a higher timeframe than your chart; a warning shows if you accidentally scan below the chart timeframe (unreliable by design on PulseWire)
- Table position and text size inputs
HOW TO USE
1. Add the indicator to any chart and open Settings → Symbols. Replace the default tickers with the instruments you actually follow.
2. Pick a Scan Timeframe — the chart timeframe or higher. A common setup: chart on M15, scan on M15 or H1.
3. Read rows left to right: Structure gives you the direction bias, FVG tells you whether a fresh imbalance or a retest is in play on that symbol.
4. The combination many traders look for: structure and a fresh FVG event pointing the SAME way — e.g. ▲ Bull structure plus a bullish FVG retest.
5. Set an alert with "Any alert() function call" to get the detailed per-symbol messages without watching the table.
SETTINGS
- Scan: scan timeframe
- Symbols: 5 slots with toggles
- Structure: pivot strength (candles each side to confirm a swing)
- Fair Value Gaps: minimum gap size (× ATR), event freshness (bars)
- Alerts: master toggle
- Table: position, text size, bullish/bearish colors
A note on how the scan works under the hood: each symbol is evaluated in its own sandboxed context via request.security — the full engine state (structure machine, active gap list) is kept separately per symbol, and signals commit on bar close. Disabled slots still consume their data request (a PulseWire compile-time requirement); the toggle hides the row.
This tool reports structure state and imbalance events. It does not generate buy/sell signals, targets or stop levels — what you do with a reading is your decision. It is not financial advice; always do your own analysis and manage your own risk.
Part of the EonMetrics toolset.
Indicator
Structure Bias [FlowForge]Know the structural direction on two timeframes before you trade.
Structure Bias monitors market structure simultaneously on a higher and a lower timeframe, classifies each structural event in real time, and combines both readings into a single directional verdict. It answers the question most traders try to resolve by eye: are both timeframes pointing the same way?
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DUAL-TIMEFRAME STRUCTURE DETECTION
The indicator evaluates confirmed swings on both configured timeframes independently. Each time price clears a prior confirmed swing, the event is classified by whether it aligns with the existing directional trend or breaks against it. A Break of Structure signals that the prevailing trend is continuing: price has extended beyond a prior swing in the same direction. A Change of Character signals a potential bias shift: price has broken a prior swing against the existing trend for the first time, indicating the directional bias may be reversing. Both readings update independently per timeframe so you always have a clear picture of where each one stands.
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ALIGNED BIAS SUMMARY
The bottom row of the dashboard synthesizes both timeframe readings into a single verdict. When the higher and lower timeframe both report the same structural direction, the row shows a confirmed aligned bias. When they conflict, it shows Mixed, flagging a structurally undecided market where lower-conviction conditions apply. The most recently updated dashboard row is highlighted automatically so you can see at a glance which event is freshest.
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LIVE DASHBOARD
A compact two-column table delivers the complete structural picture without adding clutter to the chart.
✥ Higher timeframe CHoCH: current Change of Character reading and direction
✥ Higher timeframe BOS: current Break of Structure reading and direction
✥ Lower timeframe CHoCH: same for your trading timeframe
✥ Lower timeframe BOS: same for your trading timeframe
✥ Overall Bias: aligned directional read, or Mixed when timeframes conflict
✥ Most recent structural event highlighted automatically
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HOW TO USE
Add the indicator to your chart and configure the two timeframes to match your setup. A common starting point is your trading timeframe as the lower and one step above it as the higher. Read the four structure rows to understand what each timeframe is doing independently. Then look at the Overall Bias row as your directional filter: a confirmed aligned reading means both timeframes agree, which is the condition most traders treat as higher-conviction. A Mixed reading means the two timeframes disagree and the structural context is less clear. Use the CHoCH alerts to be notified when the lower timeframe bias flips; use the BOS alerts when a continuation move is confirmed. Use the Aligned variants when you only want signals under full dual-timeframe agreement.
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ALERTS
Seven alert conditions, all firing on confirmed closed bars only.
✥ Bullish CHoCH: lower timeframe bias flipped to long
✥ Bearish CHoCH: lower timeframe bias flipped to short
✥ Bullish BOS: lower timeframe uptrend continuation confirmed
✥ Bearish BOS: lower timeframe downtrend continuation confirmed
✥ Aligned BOS Bullish: both timeframes aligned, bullish continuation
✥ Aligned BOS Bearish: both timeframes aligned, bearish continuation
✥ Aligned CHoCH: both timeframes aligned, high-confluence bias flip
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CUSTOMIZATION
✥ Higher and lower timeframes: configurable independently
✥ Swing sensitivity: adjustable lookback depth for coarser or finer structure
✥ Dashboard position: four corner options
✥ Text size: four sizes
✥ Twenty color themes
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THEMES
Twenty palettes are available. Four samples are shown below covering the default and three contrasting options. All twenty are accessible from the Theme input in the script settings.
Colorful (default)
Vivid
Copper
Ember
Indicator
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
SMC Flip Zone Engine ViprasolOverview
The original detects a break of structure, walks back to find the reaction leg that preceded it, and draws a colored zone box, with optional Liquidity Sweep, Fair Value Gap, HTF EMA alignment, and OTE (discount/premium) filters that can be toggled on to reduce noise. This version keeps that zone-detection engine intact and adds a Viprasol confluence and lifecycle layer: a 0-4 confluence score with A/B/C grading, a minimum-score gate, zone mitigation (retest) and invalidation tracking, a per-side cooldown, and an ATR-free risk overlay that projects Entry/SL/TP from a zone when price returns to it.
It is built for traders who work with break-of-structure flip zones and want each zone graded by how much SMC confluence actually backs it, plus automatic tracking of when zones are retested or broken.
How It Works
Structure Break & Reaction Leg (from original):
A bullish flip is triggered when close crosses over the prior highest-high of the lookback window (supply broken); a bearish flip when close crosses under the prior lowest-low (demand broken). On a break, the script walks back over the reaction-leg length to find the extreme of the trap leg — for a bull flip, the lowest low in that window and its bar's high define the zone's bottom and top. A box is drawn from that reaction bar forward.
SMC Filters (from original, toggle-gated):
Four optional filters can each be required before a zone is drawn:
- Liquidity Sweep — the reaction leg must have exceeded the prior structural extreme (taken liquidity).
- FVG / Displacement — a fair value gap must be present around the break (e.g. low > high ).
- HTF Alignment — bull zones only above, bear zones only below, the 50 EMA of a higher timeframe.
- OTE (Discount/Premium) — the zone midpoint must sit in the discount half (bull) or premium half (bear) of the leg, where equilibrium = leg low + (leg high − leg low) × 0.5.
Confluence Score & Grade (new):
Independently of which filters are toggled on, the script evaluates all four confluence conditions as raw booleans on every new zone and sums them into a 0-4 score:
score = sweep? + fvg? + ote? + htfAligned?
The score is mapped to a grade — A (>= 3), B (= 2), C (<= 1) — and printed on the zone box. This means even with all filters off (so every break draws a zone), you can still see which zones are backed by genuine confluence. A "Minimum Confluence Score" input then lets you suppress any zone below a chosen score without having to hard-require specific filters.
Zone Mitigation & Invalidation (new):
Every existing zone is tracked across bars. A zone is mitigated the first time price trades back into its range (low <= top and high >= bot) — this fires a mitigation alert (a potential entry as the flip zone is retested). A zone is invalidated when price closes through it (close < bot for a bull zone, close > top for a bear zone); invalidated zones are recolored gray (or can be left as-is) and fire an invalidation alert. Each transition fires once per zone.
Risk Overlay on Mitigation (new):
When "Show SL/TP on Mitigation" is enabled, the first retest of a zone projects three lines: Entry at the near edge of the zone, Stop-Loss at the far edge (so the zone height is the risk), and Take-Profit at Entry ± zone-height × the Risk:Reward ratio. Colored ENTRY/SL/TP price labels mark the line ends. Only the most recent mitigation's projection is kept, to avoid clutter.
Per-Side Cooldown (new):
An optional cooldown enforces a minimum number of bars between new zones on the same side (tracked as bar_index − lastSideBar >= cooldown), preventing a burst of overlapping zones during a single fast move.
What Is Original (Viprasol Additions)
1. Confluence score (0-4) and A/B/C grade printed on each zone, computed from raw sweep/FVG/OTE/HTF conditions regardless of which filters are toggled.
2. Minimum-confluence-score gate — suppress low-quality zones without hard-requiring individual filters.
3. Zone mitigation (retest) detection with a dedicated alert.
4. Zone invalidation detection (price closes through) with recoloring and a dedicated alert.
5. Risk overlay — Entry/SL/TP projection with colored price labels drawn on the first mitigation of a zone, sized by zone height and the Risk:Reward ratio.
6. Per-side zone cooldown to prevent clustering.
Key Features
From the Original:
- Break-of-structure detection via crossover/crossunder of the lookback high/low
- Reaction-leg walk-back to locate the trap zone behind the break
- Bullish and bearish flip-zone boxes with labels
- Optional Liquidity Sweep, FVG, HTF 50-EMA alignment, and OTE filters
- Oldest-zone pruning to limit chart clutter
Added in This Version (Viprasol):
- 0-4 confluence score with A/B/C grade on every zone
- Minimum-score quality gate
- Mitigation (retest) and invalidation lifecycle tracking with recoloring
- Entry/SL/TP risk overlay with colored price labels on mitigation
- Per-side cooldown
- Info dashboard (active zone counts, HTF state, filters-on count, min score)
- Six alert conditions with dynamic {{ticker}}/{{close}}/{{interval}} messages
How to Use
Getting Started:
1. Add to a standard candlestick chart (not Heikin Ashi).
2. With all filters off (default), every structure break draws a graded zone — read the A/B/C grade to judge quality.
3. To trade only stronger setups, either raise "Minimum Confluence Score" or turn on the specific filters you require.
Reading the Chart:
- Green zone = bullish flip (drawn after a supply break); red zone = bearish flip (after a demand break).
- The bracket on each zone, e.g. , is the confluence grade and score.
- A zone turning gray means price closed through it — it is invalidated.
- When price returns into a zone and SL/TP is enabled, Entry/SL/TP lines and price labels project to the right.
Recommended Starting Points:
- Intraday (5m-15m): Lookback 20, Reaction 7, Min Score 0-1, Cooldown 0-3
- Swing (1H-4H): Lookback 30, Reaction 7-10, Min Score 2, enable HTF alignment
- Higher conviction: Min Score 3 (grade A only), or require Sweep + FVG
These are starting points only — every market and timeframe behaves differently. Backtest and adjust before trading live.
Settings
Market Structure: structure lookback period, reaction-leg length, and max zones kept per side.
SMC Strict Filters: toggles for Liquidity Sweep, FVG (displacement), HTF 50-EMA alignment (with HTF resolution), and OTE (discount/premium). All default off so zones appear immediately.
Confluence & Quality (Viprasol): minimum confluence score, show grade on zone, and per-side zone cooldown.
Risk Overlay (Viprasol): show SL/TP on mitigation, show price labels, and the Risk:Reward ratio.
Visuals: bullish/bearish fill and border colors, and a toggle to dim invalidated zones gray.
Dashboard / Display: dashboard toggle and position.
Alerts
1. New Bull Zone — a bullish flip zone was created
2. New Bear Zone — a bearish flip zone was created
3. Any New Zone — either direction created
4. Bull Mitigation — price returned to a bullish zone (potential long)
5. Bear Mitigation — price returned to a bearish zone (potential short)
6. Zone Invalidated — a zone was closed through and invalidated
All alerts include {{ticker}}, {{close}}, and {{interval}} for dynamic notification messages.
Limitations & Disclaimer
- Zones are created on the bar the structure break confirms; because detection uses crossover/crossunder of close versus the prior swing, signals are evaluated on the closing relationship and the reaction leg is identified after the fact.
- The HTF alignment filter uses request.security with lookahead disabled; HTF values update only as the higher-timeframe bar progresses.
- The FVG and OTE checks are simplified single-bar/leg-midpoint approximations, not full multi-leg ICT constructs.
- Mitigation is detected on the first wick back into a zone; this is an awareness signal, not a guaranteed reversal.
- SL/TP lines and price labels are visual references only and do not place or manage trades.
- Filters and the minimum-score gate reduce the number of zones; in choppy ranges valid zones may be suppressed, while in fast trends overlapping zones may appear if cooldown is off.
- Past performance does not guarantee future results. This indicator is for educational and analytical purposes only and is not financial advice. Always use proper risk management and test on historical data before trading live.
Credits & Attribution
Based on an open-source "Advanced SMC Flip Zones" community indicator, which provided the break-of-structure detection (crossover/crossunder of the lookback high/low), the reaction-leg walk-back that locates the trap zone, the bullish and bearish flip-zone boxes, the optional Liquidity Sweep / FVG / HTF 50-EMA / OTE filters, and the oldest-zone pruning. Added by Viprasol: the 0-4 confluence score and A/B/C grading, the minimum-score quality gate, zone mitigation and invalidation lifecycle tracking with recoloring, the Entry/SL/TP risk overlay with colored price labels, the per-side cooldown, the info dashboard, and the six-condition dynamic alert set.
Published open-source per PulseWire House Rules.
Indicator
Structure & Trend ContextStructure & Trend Context is a clean overlay that visualises market structure and trend direction without cluttering the chart. It is built as a context tool to support your own analysis, not as a signal system.
What it shows
- Trend filter: a fast and a slow EMA define the prevailing direction. The slow EMA is colour-coded by bias (up / down / neutral).
- Volatility band: an ATR band around the fast EMA gives a sense of normal price travel and dynamic over-/under-extension.
- Swing structure: the most recent confirmed swing high and swing low are tracked and drawn as reference levels.
- Structure breaks (BoS): a marker appears only when price closes beyond the prior swing by an ATR buffer while in trend. Each level is locked after it breaks, so markers stay rare and meaningful rather than firing on every minor poke.
- Context panel: a compact top-right table showing current trend bias, last higher high and last lower low.
How to use it
Read the chart first. Use the trend filter and band for context, the swing levels for reference, and treat a structure break as one piece of confluence, not a standalone trigger. Raise "Swing sensitivity" on higher timeframes or noisy assets to keep only the larger structure.
Inputs
Every layer (band, swing levels, structure markers, raw pivots, panel, bar tint) has its own toggle, and the EMA, ATR and pivot lengths are fully adjustable.
Notes
This indicator is a visualisation aid for discretionary analysis. It does not predict price, does not generate buy or sell recommendations, and is not financial advice. Markers are confirmed on bar close and do not repaint. Open-source — adapt it to your own workflow. 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
Meridian Structure Lattice [JOAT]Meridian Structure Lattice
Introduction
Meridian Structure Lattice is an open-source market structure and zone-mapping overlay designed to visualize how price interacts with prior swing liquidity, displacement, fair value gaps, structural blocks, and supply-demand regions. It focuses on the structural side of chart reading rather than on generic trend-following averages.
The problem this script solves is fragmentation. Traders often need separate tools for BOS detection, sweep identification, imbalance mapping, and supply-demand marking. Meridian Structure Lattice consolidates those ideas into one coordinated structure model so the user can see which event happened, where it happened, and which zones remain active or invalidated afterward.
Core Concepts
1. Pivot-Based Structure Engine
Confirmed swing highs and lows are tracked with symmetric pivot logic. Those pivots become the active structural reference points for bullish and bearish breaks, as well as the levels that can later be swept without closing through them.
2. BOS Versus Shift Logic
When price closes beyond the latest active pivot high or low, the script classifies the event relative to the existing structure bias. Continuation breaks are labeled as BOS, while breaks against the prior bias are labeled as shifts.
3. Liquidity Sweeps
Sweeps occur when price trades beyond a stored pivot but closes back through it. These are displayed with event lines anchored to the original pivot zone rather than floating labels only.
4. Zone Families
The script can create and maintain fair value gaps, structural blocks, and ATR-width supply-demand zones. Each zone extends forward, can display a midpoint, can show a live price label on the right edge, and changes state when price mitigates it.
Features
Pivot-confirmed structure model: Swing highs and lows drive all event logic
Bullish and bearish BOS detection: Confirmed continuation breaks
Bullish and bearish shift detection: Regime-sensitive structural reversals
Liquidity sweep detection: Wick-through and close-back behavior against stored pivots
Fair value gap zones: Bullish and bearish imbalance regions
Structural blocks: Structure-derived reaction zones that can be upgraded after displacement
Supply and demand mapping: ATR-scaled zones projected forward
Zone midlines and price labels: Optional midpoint and right-edge price tagging
Mitigation logic: Zones can retire on close-through or wick-through behavior
Dashboard: Active zone counts, last event, sweep age, displacement state, and pivot spread
Confirmed-bar mode: Events can be restricted to confirmed candles only
Input Parameters
Structure:
Swing Length controls structural sensitivity
BOS, sweep, and label toggles control the event layer
Zones And Display:
Fair value gap, structural block, and supply-demand toggles
Supply-demand ATR width and maximum active zones per side
Displacement threshold, mitigation mode, confirmed-bar requirement, midline, price label, dashboard, and forward extension settings
How to Use This Indicator
Step 1: Identify the most recent event in the dashboard to understand whether structure is breaking or only sweeping.
Step 2: Use BOS and shift labels to determine whether the current break is continuation or reversal behavior.
Step 3: Use sweeps as failed acceptance signals around prior liquidity.
Step 4: Use active zones as forward reference areas for mitigation, continuation, or rejection.
Step 5: Monitor whether a zone remains active or has already been invalidated before treating it as tradeable.
Indicator Limitations
Pivot logic confirms after the pivot forms, so structural labels intentionally appear with delay to avoid repainting
Fast moves may skip through multiple nearby zones before the chart can display a clean response
Zone families are analytical references, not guaranteed reversal areas
Dense structure on lower timeframes can still require selective display settings for clarity
Originality Statement
Meridian Structure Lattice is original in the way it coordinates structural events and multiple forward zone families inside a single non-repainting framework. The different components are not merged for convenience alone; they are combined because BOS, shifts, sweeps, blocks, gaps, and supply-demand zones describe different parts of the same structure narrative.
Disclaimer
This indicator is provided for educational and informational purposes only. It does not provide financial advice or guaranteed support and resistance levels. Structural events and zones are derived from historical price behavior and should be used with disciplined risk management.
-Made with passion by jackofalltrades
Indicator
Structural Momentum Bias [JOAT]
Structural Momentum Bias
Introduction
Structural Momentum Bias is an overlay indicator that combines pivot-based market structure classification with a double-smoothed momentum band system to identify the current market regime and its directional bias. The indicator continuously tracks swing highs and lows, classifies them as higher highs, lower highs, higher lows, or lower lows, and scores momentum strength on a 0-5 scale using band position and structure alignment. A break-of-structure detection system marks confirmed liquidity shifts in real time.
The core problem this indicator addresses is the disconnect between price structure and momentum. Many traders either follow structure without measuring momentum strength, or use oscillators without understanding what market structure those signals occur within. This indicator unifies both, producing a regime label (Bullish, Bearish, or Ranging) backed by a quantified score. A regime classification without a corresponding score is ambiguous. A score without regime context is incomplete. Together they provide a clearer picture of where the market is and how strongly it is in that state.
Core Concepts
1. Double-Smoothed Baseline (SMEMA)
The baseline uses a two-pass smoothing method: an EMA applied to price, followed by an SMA applied to that EMA. This reduces noise while maintaining responsiveness. It outperforms a simple MA in choppy markets because the double-pass eliminates high-frequency oscillations that cause false regime flips. The baseline slope (rising or falling) is one input into the regime classification.
2. Dynamic Step Channel
The channel bands are not fixed multiples of ATR. Instead, they use the 100-bar average of the high-low range as the step unit, producing three tiers of bands above and below the baseline. This approach adapts to each instrument's natural swing amplitude without requiring manual calibration per market. Each band tier has a gradient color that intensifies as price approaches that level from within the channel, providing visual distance context.
3. Pivot-Based Structure Classification
Swing highs and lows are identified using confirmed pivots (lookback left and right bars). The indicator classifies the relationship between successive pivots as HH (higher high), LH (lower high), HL (higher low), or LL (lower low). These four states are combined to determine whether structure is bullish (HH + HL), bearish (LH + LL), or mixed. Importantly, pivot detection is offset by the lookback period, so no repainting occurs — a pivot is only confirmed when enough subsequent bars have closed to validate it.
4. Momentum Strength Score (0-5)
The score adds one point for each of: price above band tier 1, price above band tier 2, price above band tier 3, higher high present, and higher low present (inverted for bearish scoring). This produces a 0-5 integer that quantifies how strongly the market is expressing the current regime. A score of 5 in a bullish regime means price is extended above all three band tiers with confirmed higher highs and higher lows — a strongly trending condition. A score of 1 or 2 suggests marginal or weakening conditions.
5. Break of Structure (BOS) Detection
A bullish BOS is confirmed when price closes above the most recent swing high on a confirmed bar. A bearish BOS is confirmed when price closes below the most recent swing low. The BOS line is drawn from the pivot bar to the current bar and extends right, with a thick transparent shadow line providing visual depth. BOS detection only fires on barstate.isconfirmed, preventing any repainting.
Features
Regime Dashboard: 9-row dark-themed table showing regime, baseline direction, bull score, bear score, structure state, ATR, and last BOS
Dynamic Momentum Bands: Six gradient-colored bands (three above, three below) that visually represent price position within the momentum channel
SMEMA Baseline: Color-coded by regime, changes in real time as regime shifts
Break of Structure Lines: Thin solid + thick ghost dual-line rendering at confirmed structural breaks, extending to the current bar
Confirmed Pivot Dots: Small circles at each confirmed swing high and low, plotted at the exact pivot bar
Bar Coloring: Candles are colored by current regime state
Band Fill Gradients: Fill between band tiers intensifies based on price proximity
Input Parameters
Structure Settings:
Pivot Lookback: Number of bars left and right required to confirm a pivot (default: 5)
Baseline Length: Period for the SMEMA double-smoothed baseline (default: 10)
Show Structure Breaks: Toggle BOS line rendering
Visual Settings:
Dashboard toggle and position
Momentum Bands toggle
Bullish, Bearish, and Ranging color inputs
How to Use This Indicator
Step 1: Read the Regime
The dashboard label and bar coloring immediately show the current regime. Bullish requires the baseline to be rising and a momentum score of 2 or more.
Step 2: Assess Score Strength
A score of 4-5 indicates a well-developed trend with band extension and confirmed structure. A score of 1-2 suggests the regime is marginal and may not sustain.
Step 3: Watch for BOS Events
A BOS in the direction of the regime adds confirmation that a structural shift has occurred. A counter-regime BOS is an early warning that conditions may be changing.
Step 4: Use Bands for Context
Price returning to the baseline from above in a bullish regime is a potential pullback entry area. Price extending above band tier 2 or 3 suggests overextension.
Limitations
The pivot confirmation delay (lookback bars) means BOS signals and pivot markers appear several bars after the actual swing point. This is a deliberate design choice to prevent repainting
The regime score of 2 as the minimum threshold for classification means borderline conditions will oscillate between Ranging and a directional regime on consecutive bars
The SMEMA baseline is smoother than a standard EMA but still lags price. In fast-moving markets this lag may cause regime flips after significant portions of a move have already occurred
Band width is determined by the 100-bar average of bar ranges. In markets with sudden volatility regime changes (such as after news releases), the bands may not reflect the new volatility environment for many bars
Originality Statement
This indicator is original in its specific combination of elements and the scoring framework it produces. The justification for combining structure detection with a band-based scoring system is that neither component alone provides actionable context. Structure alone (HH/HL) says direction but not strength. Bands alone say relative position but not structural validity. The 0-5 score synthesizes both into a single conviction metric. The double-smoothed baseline (EMA of EMA, then SMA) is a deliberate design choice that reduces false regime flips without the extreme lag of longer single-pass averages. The dynamic step channel uses bar range (not ATR) as its unit, which scales naturally with each instrument's price action characteristics.
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. Past structural patterns do not guarantee their repetition. A bullish regime classification does not predict future price direction. Always apply proper risk management. The author is not responsible for any trading losses.
-Made with passion by officialjackofalltrades
Indicator
Temporal Flow Analyzer [JOAT]Temporal Flow Analyzer
Introduction
The Temporal Flow Analyzer is an advanced open-source time-based analysis indicator that examines price flow across temporal dimensions, session dynamics, and time-weighted patterns to identify institutional activity timing and flow shifts. This indicator transforms time-based market data into actionable flow intelligence, helping traders identify when price flow is accelerating, decelerating, reversing, or experiencing temporal pressure changes.
Unlike basic trend indicators that ignore time dynamics, this system analyzes flow direction, flow strength, flow acceleration, session-based patterns, temporal pressure, and time zone positioning. The indicator is designed for traders who understand that institutional activity follows temporal patterns and that time-based analysis reveals flow dynamics invisible to price-only indicators.
Why This Indicator Exists
This indicator addresses a fundamental aspect of market analysis often overlooked: the temporal dimension of price flow. Markets don't just move in price - they move through time, and the relationship between price movement and time reveals institutional flow dynamics. The core innovation lies in analyzing multiple temporal dimensions:
Price Flow Analysis: Measures directional flow using dual-EMA comparison with strength and acceleration tracking
Session Analysis: Identifies Asian, London, and NY sessions with session high/low tracking and breakout detection
Temporal Momentum: RSI-based momentum with flow-weighted calculations and divergence detection
Volume Flow: Analyzes volume flow patterns, net pressure, and buying/selling flow dynamics
Time Zone Positioning: Determines if price is in premium, discount, or equilibrium zones within session range
Flow Shift Detection: Identifies when flow direction changes, signaling potential trend reversals
Flow Exhaustion: Detects when flow strength is high but acceleration is low, warning of exhaustion
Temporal Pressure: Combines price flow, volume flow, and flow strength into unified pressure metric
Each component reveals different aspects of temporal flow. Price flow shows direction, session analysis provides timing context, momentum shows strength, volume flow confirms participation, time zones show value, flow shifts warn of reversals, exhaustion signals caution, and temporal pressure quantifies intensity.
Core Components Explained
1. Price Flow Calculation
Price flow measures directional movement using dual exponential moving averages:
Price Flow = EMA(Close, Flow Period) - EMA(Close, Flow Period * 2)
This calculation creates a zero-centered oscillator:
- Positive values indicate bullish flow (faster EMA above slower EMA)
- Negative values indicate bearish flow (faster EMA below slower EMA)
- Magnitude shows flow strength
Flow Direction = Price Flow > 0 ? Bullish : Bearish
Flow Strength = Absolute(Price Flow) / ATR(14)
Flow strength normalization using ATR ensures cross-instrument comparison and removes price-level bias. Values above 1.5 indicate strong flow, 0.8-1.5 moderate flow, below 0.8 weak flow.
Flow Acceleration = Change in Price Flow over 3 bars
Positive acceleration indicates flow is building, negative acceleration indicates flow is fading. This provides early warning of flow changes before they become obvious in the main flow metric.
2. Session Detection and Analysis
The indicator identifies three major trading sessions using UTC hour detection:
Asian Session: Customizable start hour (default 0 UTC) to London start
London Session: Customizable start hour (default 7 UTC) to NY start
NY Session: Customizable start hour (default 12 UTC) to Asian start
Session tracking maintains:
- Session High: Highest price since session start
- Session Low: Lowest price since session start
- Session Start Bar: Bar index when session began
- New Session Flag: Triggers on session transitions
Session boxes are drawn showing the high/low range for each session, providing visual context for session-based support/resistance and breakout analysis.
3. Session Breakout Detection
Session breakouts mark when price exceeds previous session boundaries with conviction:
Session Breakout Up:
- High > Previous Session High
- Volume > Average Volume * 2.0
- Close > Previous Session High (confirms breakout, not just wick)
Session Breakout Down:
- Low < Previous Session Low
- Volume > Average Volume * 2.0
- Close < Previous Session Low
These breakouts often mark the start of significant moves as price breaks out of established ranges with institutional participation (confirmed by volume). The indicator places small labels marking breakout events.
4. Temporal Momentum Analysis
Temporal momentum combines RSI with flow-based weighting:
Momentum = RSI(Close, Momentum Length)
Momentum Flow = EMA(Momentum, 5)
Momentum Divergence = Momentum - Momentum Flow
Momentum Acceleration = Change in Momentum over 3 bars
Momentum classification:
- Overbought: Momentum > 70
- Oversold: Momentum < 30
- Neutral: Momentum between 30 and 70
The indicator tracks momentum divergence to identify when momentum is deviating from its trend, often preceding flow reversals.
5. Volume Flow Dynamics
Volume flow analysis separates buying and selling pressure:
Volume Flow = EMA(Volume, Volume Flow Period)
Volume Flow Delta = Current Volume - Volume Flow
Volume Flow Ratio = Current Volume / Volume Flow
Buying Pressure = Volume when Close > Open
Selling Pressure = Volume when Close < Open
Net Pressure = EMA(Buying Pressure - Selling Pressure, Volume Flow Period)
Net pressure reveals institutional positioning:
- Positive net pressure: Institutions accumulating (buying dominance)
- Negative net pressure: Institutions distributing (selling dominance)
- Magnitude shows intensity of positioning
6. Time Zone Position Analysis
The indicator calculates price position within the session range:
Session Range = Session High - Session Low
Session Mid = (Session High + Session Low) / 2
Premium Zone = Price > Session Mid + Range * 0.25 (upper 25%)
Discount Zone = Price < Session Mid - Range * 0.25 (lower 25%)
Equilibrium = Price between premium and discount zones
Smart money concepts suggest:
- Premium zones: Favorable for selling/distribution
- Discount zones: Favorable for buying/accumulation
- Equilibrium: No clear value edge
The dashboard displays current zone and suggested bias (SELL in premium, BUY in discount, WAIT in equilibrium).
7. Flow Shift Detection System
Flow shifts mark critical transitions in directional flow:
Flow Shift = Flow Direction changes from previous bar's direction
The indicator tracks the last flow direction and compares it to current direction. When they differ, a flow shift is detected. These shifts often mark:
- Trend reversals (shift from strong flow to opposite flow)
- Consolidation starts (shift from strong flow to weak flow)
- Breakout beginnings (shift from weak flow to strong flow)
Flow shift labels are placed at shift points with direction indicators (UP for bullish shift, DN for bearish shift).
8. Accumulation and Distribution Detection
The indicator identifies institutional accumulation/distribution using strict criteria:
Strong Accumulation:
- Close > Open (bullish candle)
- Volume > Average Volume * 2.5 (very high participation)
- Close > EMA(20) (above trend)
- Close > High (breaking above previous high)
- Momentum < 50 (not overbought)
Strong Distribution:
- Close < Open (bearish candle)
- Volume > Average Volume * 2.5
- Close < EMA(20) (below trend)
- Close < Low (breaking below previous low)
- Momentum > 50 (not oversold)
These strict criteria ensure only genuine institutional positioning is flagged, not retail noise. Labels mark accumulation ("A") and distribution ("D") events.
9. Flow Divergence Analysis
Flow divergences identify price-flow asymmetries:
Bullish Flow Divergence:
- Price makes lower low (Price < Price )
- Flow makes higher low (Flow > Flow )
- Momentum < 35 (oversold context)
- Flow Strength > 0.5 (significant flow)
Bearish Flow Divergence:
- Price makes higher high (Price > Price )
- Flow makes lower high (Flow < Flow )
- Momentum > 65 (overbought context)
- Flow Strength > 0.5
Divergences warn that flow is not confirming price extremes, often preceding reversals. The indicator places "DIV" labels at divergence points.
10. Flow Exhaustion Detection
Flow exhaustion occurs when flow strength is high but acceleration is low:
Flow Exhaustion = Flow Strength > 2.0 AND Absolute(Momentum Acceleration) < 0.5
This condition suggests flow has reached extreme levels but is no longer accelerating, often marking climax moves before reversals. Exhaustion labels ("EX") warn traders to prepare for potential flow reversal.
11. Temporal Pressure Calculation
Temporal pressure combines multiple flow dimensions:
Temporal Pressure = (Price Flow / ATR) * (Volume Flow Ratio - 1) * Flow Strength
This calculation creates a comprehensive pressure metric:
- Positive values: Bullish temporal pressure
- Negative values: Bearish temporal pressure
- Magnitude shows pressure intensity
Extreme pressure (absolute value > 2.0) often precedes significant moves or reversals depending on context.
12. Flow Velocity Analysis
Flow velocity measures the rate of price change over time:
Flow Velocity = Change in Close over 5 bars / 5
Flow Velocity EMA = EMA(Flow Velocity, 10)
Velocity Divergence = Flow Velocity - Flow Velocity EMA
Velocity Threshold = ATR * 0.2
Velocity classification:
- Fast: Absolute Velocity > Velocity Threshold
- Slow: Absolute Velocity <= Velocity Threshold
Fast velocity indicates rapid flow, slow velocity indicates gradual flow. Velocity divergence shows when current velocity differs from average velocity.
Visual Elements
Session Boxes: Colored boxes showing Asian (yellow), London (green), and NY (red) session ranges
Flow Shift Labels: Small labels marking flow direction changes (UP/DN)
Accumulation/Distribution Labels: Tiny labels marking institutional positioning (A/D)
Flow Divergence Labels: Labels marking price-flow asymmetries (DIV)
Session Breakout Labels: Labels marking session high/low breakouts (BO/BD)
Flow Exhaustion Labels: Labels warning of flow exhaustion (EX)
Time Zone Backgrounds: Subtle backgrounds showing premium (bearish) and discount (bullish) zones
Flow Direction Background: Very subtle background showing current flow direction
Session Level Lines: Dashed lines showing session high, mid, and low levels
Flow EMA Line: Line showing flow EMA for trend context
Comprehensive Dashboard: 12-row intelligence panel with all temporal flow metrics
The visual system is designed for clarity with minimal clutter - only significant events are marked, and backgrounds are very subtle to avoid distraction.
Input Parameters
Temporal Settings:
Flow Period: Period for flow calculation (10-50, default 20)
Session Length: Bars for session analysis (10-100, default 24)
Momentum Length: Period for momentum (5-30, default 14)
Volume Flow Period: Period for volume flow (5-30, default 10)
Features:
Price Flow Direction: Toggle flow analysis (default enabled)
Session Analysis: Toggle session detection (default enabled)
Temporal Momentum: Toggle momentum tracking (default enabled)
Volume Flow: Toggle volume analysis (default enabled)
Time-Based Zones: Toggle premium/discount zones (default enabled)
Flow Shift Signals: Toggle shift detection (default enabled)
Flow Divergence: Toggle divergence detection (default enabled)
Session Breakouts: Toggle breakout signals (default enabled)
Sessions:
Asian Session Start: Hour in UTC (0-23, default 0)
London Session Start: Hour in UTC (0-23, default 7)
NY Session Start: Hour in UTC (0-23, default 12)
Colors:
All colors are fully customizable including time bull (neon cyan), time bear (neon pink), session active (gold), flow positive (neon green), flow negative (pink), momentum high (purple), accumulation (cyan), and distribution (pink).
How to Use This Indicator
Step 1: Identify Flow Direction
Check dashboard "FLOW" field showing BULLISH or BEARISH. This indicates current directional flow. Note the status (STRONG/MODERATE/WEAK) showing flow strength.
Step 2: Monitor Flow Strength
Review "STRENGTH" metric showing flow intensity. Values above 1.5 indicate strong directional flow suitable for trend-following. Values below 0.8 suggest weak flow where range-bound strategies may work better.
Step 3: Watch Flow Acceleration
Check "ACCELERATION" showing ACCELERATING, DECELERATING, or STABLE. Accelerating flow confirms trend strength. Decelerating flow warns of potential exhaustion even if flow remains positive/negative.
Step 4: Identify Active Session
Review "SESSION" field showing ASIAN, LONDON, or NY. Different sessions have different characteristics - London and NY overlap often shows highest volatility and volume.
Step 5: Assess Volume Flow
Check "VOL FLOW" showing HIGH, NORMAL, or LOW. High volume flow confirms genuine institutional participation. Low volume flow suggests retail-dominated or thin-market conditions.
Step 6: Monitor Net Pressure
Review "PRESSURE" showing BUYING or SELLING with intensity (STRONG/MODERATE/WEAK). This reveals institutional positioning - sustained buying pressure suggests accumulation, sustained selling suggests distribution.
Step 7: Check Time Zone Position
Review "TIME ZONE" showing PREMIUM, DISCOUNT, or EQUILIBRIUM with bias suggestion. Buy in discount zones, sell in premium zones for optimal risk/reward aligned with smart money concepts.
Step 8: Watch for Flow Shifts
Flow shift labels mark critical transitions. These often provide early warning of trend changes before they're obvious in price. Shifts from strong flow to opposite flow are most significant.
Step 9: Use Divergence Warnings
Flow divergence labels warn when flow is not confirming price extremes. These often precede reversals and provide high-probability counter-trend entry opportunities.
Step 10: Monitor Flow State
Check "STATE" field showing current flow condition (EXHAUSTED, SHIFTING, BULL DIV, BEAR DIV, ACCUM, DISTRIB, or FLOWING). This provides immediate context for current flow dynamics.
Best Practices
Flow shifts with strong acceleration often mark the start of new trends
Session breakouts during London/NY overlap offer highest-probability setups
Accumulation in discount zones and distribution in premium zones are most reliable
Flow divergences at extreme momentum levels (>70 or <30) are most significant
Flow exhaustion signals work best when combined with time zone extremes
Strong volume flow confirmation separates genuine moves from false signals
Temporal pressure above 2.0 or below -2.0 often precedes significant moves
Flow velocity acceleration provides early entry timing before flow shift is obvious
Session high/low levels often provide support/resistance for intraday trading
Multiple flow shifts in short period suggest choppy conditions - reduce position size
Flow strength above 2.0 in discount zones offers optimal long entry conditions
Flow deceleration in premium zones warns of potential distribution
Indicator Limitations
Session detection uses UTC hours which may not align perfectly with actual market hours
Flow analysis works best on instruments with consistent intraday patterns
Volume flow requires accurate volume data - some instruments have unreliable volume
Time zone analysis assumes session ranges are meaningful - may not apply to all instruments
Flow shifts can whipsaw during genuinely transitional periods
Accumulation/distribution detection uses strict criteria - may miss some institutional activity
Flow divergences can persist longer than expected before price reverses
Session breakouts can be false - always use stop losses
The indicator shows flow dynamics but cannot predict news events or fundamental catalysts
Temporal pressure can remain extreme during strong trends
Flow exhaustion signals are warnings, not guarantees of reversal
Technical Implementation
Built with Pine Script v6 using:
Dual-EMA flow calculation with ATR-normalized strength measurement
Session detection using hour() function with customizable UTC start times
Session high/low tracking with reset on new session detection
RSI-based momentum with flow-weighted calculations
Volume flow analysis with buying/selling pressure separation
Net pressure calculation using EMA smoothing
Time zone position analysis using session range calculations
Flow shift detection using directional comparison
Strict accumulation/distribution criteria combining volume, price action, and momentum
Flow divergence detection using lookback comparison with strength filtering
Flow exhaustion identification combining strength and acceleration thresholds
Temporal pressure calculation integrating flow, volume, and strength
Flow velocity tracking with EMA smoothing and divergence calculation
Comprehensive dashboard with 12 metrics and color-coded status indicators
Minimal label system preventing chart clutter while maintaining signal visibility
The code is fully open-source with detailed comments explaining temporal flow concepts.
Originality Statement
This indicator is original in its comprehensive temporal flow analysis approach. While individual components (flow, sessions, momentum, volume) are established concepts, this indicator is justified because:
It integrates price flow, session analysis, momentum, and volume flow into a unified temporal framework
The flow shift detection system provides early warning of directional changes
Accumulation/distribution detection uses strict multi-factor criteria ensuring institutional-grade signals
Flow divergence analysis identifies price-flow asymmetries with strength filtering
Flow exhaustion detection combines strength and acceleration for climax move identification
Temporal pressure calculation synthesizes multiple flow dimensions into unified intensity metric
Time zone position analysis provides smart money context for entry timing
Session breakout detection with volume confirmation identifies high-probability setups
The comprehensive dashboard synthesizes 12 distinct metrics into unified temporal intelligence
Flow velocity and acceleration tracking provides early momentum shift detection
Each component reveals different temporal dynamics: flow shows direction, sessions provide timing, momentum shows strength, volume confirms participation, time zones show value, shifts warn of changes, divergences signal reversals, exhaustion marks climaxes, and pressure quantifies intensity. The indicator's value lies in combining these complementary perspectives into a cohesive temporal flow analysis system.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Temporal flow analysis is a tool for understanding time-based market dynamics, not a crystal ball for predicting future price movement. Flow shifts do not guarantee trend changes. Session breakouts do not guarantee continuation. Past flow patterns do not guarantee future flow patterns. Market conditions change, and strategies that worked historically may not work in the future.
The metrics displayed are mathematical calculations based on current market data, not predictions of future price movement. Flow shifts, divergences, exhaustion signals, and session breakouts do not guarantee profitable trades. Users must conduct their own analysis and risk assessment before making trading decisions.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades Indicator
Heiken Ashi Break of Structure with Market Structure [by Hampeh]Description
This indicator is designed to identify high-probability trading entries by combining the trend-smoothing capabilities of Heiken Ashi candles with the powerful concept of a Break of Structure (BOS).
To enhance signal quality and reduce false signals, it incorporates a mandatory market structure confirmation filter, requiring a Higher Low (HL) to be established before a buy signal and a Lower High (LH) before a sell signal. The indicator automatically provides dynamic Stop Loss levels and generates real-time alerts to streamline the trading process.
How It Works
The indicator's logic is built upon several key components that work together to filter for high-quality setups.
1. Heiken Ashi Foundation The script uses Heiken Ashi candles as its foundation to reduce market noise and provide a clearer visualization of the underlying trend. This smoothing effect makes it easier to identify sustained directional moves.
2. Break of Structure (BOS) Identification The core entry trigger is a Break of Structure, defined as:
Bullish BOS (Buy Signal): The indicator first identifies a downtrend phase (red Heiken Ashi candles). It marks the opening price of this phase (redOpen). A buy signal is triggered when the trend reverses (turns green) and the Heiken Ashi close price breaks above this redOpen level.
Bearish BOS (Sell Signal): Conversely, it identifies an uptrend phase (green Heiken Ashi candles) and marks its opening price (greenOpen). A sell signal is triggered when the trend reverses (turns red) and the Heiken Ashi close price breaks below this greenOpen level.
3. Market Structure Confirmation (HL/LH Filter) This is the key filter that validates the strength of a potential new trend:
Higher Low (HL) for Buys: A buy signal is only considered valid if the low point of the most recent downtrend phase is higher than the low point of the previous downtrend phase. This confirms a classic "Higher Low" market structure, indicating that buying pressure is increasing.
Lower High (LH) for Sells: A sell signal is only considered valid if the high point of the most recent uptrend phase is lower than the high point of the previous uptrend phase. This confirms a "Lower High" structure, suggesting that selling pressure is building.
4. Dynamic Stop Loss Calculation The indicator provides a logical and dynamic Stop Loss for every signal:
For Buy Signals: The Stop Loss is automatically placed just below the lowest low (lowestLow) recorded during the entire preceding downtrend (red candle) phase.
For Sell Signals: The Stop Loss is placed just above the highest high (highestHigh) recorded during the entire preceding uptrend (green candle) phase.
5. Signal Generation and Visualization
A final BUY signal is generated only when all conditions are met: a bullish BOS occurs and it is preceded by a confirmed Higher Low.
A final SELL signal is generated only when all conditions are met: a bearish BOS occurs and it is preceded by a confirmed Lower High.
When a valid signal is triggered, a label appears on the chart displaying the entry price and the calculated Stop Loss. A corresponding alert is also fired with detailed trade information.
Summary of Strategy
In essence, this indicator waits for a pullback (a Heiken Ashi color change), confirms that the pullback respects bullish or bearish market structure (HL or LH), and then triggers an entry upon a Break of Structure in the intended direction.
Disclaimer : This indicator is a tool for technical analysis and does not guarantee profits. Trading financial markets involves significant risk. Always conduct your own research and practice proper risk management.
Indicator
Structure Lite - Automatic Major Trend LinesStructure Lite – Pivot-Based Market Structure Visualization
OVERVIEW
Structure Lite is an open-source charting tool designed to assist traders in visualizing higher-timeframe market structure. The script identifies major swing points using high-period pivot analysis and projects structural support and resistance lines directly on the chart. Its purpose is to highlight persistent market structure while minimizing visual noise.
CORE CONCEPTS & CALCULATIONS
Pivot Identification
The script uses Pine Script’s built-in ta.pivothigh() and ta.pivotlow() functions to identify confirmed swing highs and lows. A pivot is only validated after a user-defined number of bars (Major Pivot Lookback) have formed on both sides of the price extreme, ensuring that only structurally significant pivots are selected.
Structural Pairing
Each structural line is created only after two consecutive pivots of the same type are confirmed (high-to-high or low-to-low). The script stores the price and bar index of these pivots and uses them as fixed anchor points.
Line Projection
Once a valid pivot pair is formed, the script draws a line between the two points using line.new() and extends it forward using extend.right. These lines represent projected structural boundaries rather than trade signals.
Object Management
To maintain chart clarity and performance, the script manages all drawn objects through a line array. A FIFO (First-In, First-Out) method is applied so that only the three most recent structural lines remain visible. Older lines are automatically deleted as new ones are created.
DESIGN PHILOSOPHY & ORIGINALITY
While many indicators plot frequent swing points or short-term pivots, Structure Lite focuses on structural persistence. By filtering for higher-period pivots and limiting the number of displayed projections, the script emphasizes dominant market structure rather than short-term fluctuations. This approach is intended to support discretionary analysis, not replace it.
HOW TO USE
Major Pivot Lookback
Increase the value to focus on higher-timeframe structure (e.g., swing or position trading).
Decrease the value to visualize intraday structural levels.
Visual Encoding
Green lines represent projected structural support
Red lines represent projected structural resistance
Visibility Control
A boolean input allows all structure lines to be hidden instantly to restore a clean price chart.
LIMITATIONS & DISCLAIMER
This script is a visualization tool only. It does not generate trade signals, entry or exit points, alerts, or directional forecasts. All plotted levels are derived from historical price action and may change as new pivots form. The script is provided for educational and analytical purposes and should be used in conjunction with other forms of market analysis Indicator
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix
Version: PineScript™ v6
📌 Description
The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions.
Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence.
The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time.
🚀 Points of Innovation
First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis
Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations
Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth
Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence
Configurable minimum occurrence threshold filters out statistically insignificant predictions
Real-time probability visualization with graphical confidence bars
🔧 Core Components
Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking
Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification
Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions
Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup
Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern
🔥 Key Features
Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations
Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size
Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction
Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus
Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability
Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge
🎨 Visualization
Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities
Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance
Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations
Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification
Customizable Table Position: Place probability display in any corner of your chart
📖 Usage Guidelines
N-Gram Configuration
N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data.
Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior.
Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability.
SMC Detection Settings
Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis.
FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps.
Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations.
Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points.
Display Settings
Show Probability Table: Toggle the probability matrix display on/off.
Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display.
Show SMC Markers: Toggle on-chart pattern labels.
✅ Best Use Cases
Anticipating continuation or reversal patterns after liquidity sweeps
Identifying high-probability BOS/CHoCH sequences for trend trading
Filtering FVG and Order Block signals based on historical follow-through rates
Building confluence by comparing predicted patterns with other technical analysis
Studying how SMC patterns typically sequence on specific instruments or timeframes
⚠️ Limitations
Predictions are based solely on historical pattern frequency and do not account for fundamental factors
Low sample counts produce unreliable probabilities—always check the Samples display
Market regime changes can invalidate historical transition patterns
The indicator requires sufficient historical data to build meaningful probability matrices
Pattern detection uses standardized parameters that may not capture all institutional activity
💡 What Makes This Unique
Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together
Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages
Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior
Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework
🔬 How It Works
1. Pattern Detection Phase
Each bar is analyzed for SMC formations using configurable detection parameters
A priority hierarchy assigns the most significant pattern when multiple detections occur
2. Sequence Encoding Phase
Detected patterns are stored in a rolling history buffer of recent classifications
The current N-gram context is encoded into a unique integer identifier
3. Matrix Construction Phase
Historical pattern sequences are iterated to count transition occurrences
Each context-to-next-pattern transition increments the appropriate matrix cell
4. Probability Calculation Phase
Current context ID retrieves corresponding transition counts from the matrix
Raw counts are converted to percentages based on total context occurrences
5. Visualization Phase
Probabilities are sorted and the top N predictions are displayed in the table
Chart markers identify the current detected pattern for visual reference
💡 Note:
This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data. Indicator
EMA Market Structure [BOSWaves]EMA Market Structure - Trend-Driven Structural Mapping with Adaptive Swing Detection
Overview
The EMA Market Structure indicator provides an advanced framework for visualizing market structure through dynamically filtered trend and swing analysis.
Unlike conventional EMA overlays, which merely indicate average price direction, this model integrates trend acceleration, swing highs/lows, and break-of-structure (BOS) logic into a unified, visually intuitive display.
Each element adapts in real time to price movement, offering traders a living map of support, resistance, and trend bias that reacts fluidly to market momentum.
The result is a comprehensive, trend-aware representation of price structure.
EMA slope and acceleration guide trend perception, while swing points identify key inflection zones.
Breaks of prior highs or lows are highlighted with visual BOS labels and stop-loss projections, giving traders actionable context for continuation or reversal setups.
Unlike static lines or simple moving averages, the EMA Market Structure indicator fuses dynamic trend analysis with structural awareness to provide a clear picture of market bias and potential turning points.
Theoretical Foundation
The EMA Market Structure builds on principles of momentum filtering and structural analysis.
Standard moving averages track average price but ignore acceleration and context; this indicator captures both the directional slope of the EMA and its rate of change, providing a proxy for trend strength.
Simultaneously, swing detection identifies statistically significant highs and lows, while BOS logic flags decisive breaks in structure, aligned with trend direction.
At its core are three interacting components:
EMA Trend & Acceleration : Smooths price data while highlighting acceleration changes, producing gradient-driven color cues for trend momentum.
Swing Detection Engine : Identifies swing highs and lows over configurable bar lengths, ensuring key turning points are captured with minimal clutter.
Break-of-Structure Logic : Detects price breaches of previous swings and aligns them with EMA trend for actionable BOS signals, including projected stop-loss levels for tactical decision-making.
By integrating these elements, the system scales effectively across timeframes and assets, maintaining structural clarity while visualizing trend dynamics in real time. Traders receive both macro and micro perspectives of market movement, with clear cues for trend continuation or reversal.
How It Works
The EMA Market Structure indicator operates through layered processing stages:
EMA Slope & Acceleration : Calculates the EMA and its rate of change, normalizing via ATR and a smoothing function to produce gradient color coding. This allows instant visual identification of bullish or bearish momentum.
Swing Identification : Swing highs and lows are computed using configurable left/right bar lengths, filtered through a cool-off mechanism to prevent redundant signals and maintain chart clarity.
Structural Lines & Zones : Swing points are connected with lines, and shaded zones are drawn between successive highs/lows to highlight key support and resistance regions.
Break-of-Structure Detection : BOS events occur when price breaches a prior swing in alignment with the EMA trend. Bullish and bearish BOS signals include enhanced label effects and projected stop-loss lines and zones, providing immediate tactical reference.
Dynamic Background Mapping : The chart background adapts to EMA trend direction, reinforcing trend context with subtle visual cues.
Through these processes, the indicator creates a living, adaptive map of market structure that reflects both trend strength and swing-based inflection points.
Interpretation
The EMA Market Structure reframes market reading from simple trend following to structured awareness of price behavior:
Uptrend Phases : EMA is rising with positive acceleration, swings confirm higher lows, and BOS events occur above prior highs, signaling trend continuation.
Downtrend Phases : EMA slope is negative, swings form lower highs, and BOS events occur below prior lows, confirming bearish bias.
Trend Reversals : Flat or decelerating EMA with BOS failures may indicate impending structural change.
Critical Zones : Swing-based lines and shaded zones highlight areas where price may pause, reverse, or accelerate, providing high-probability decision points.
Visually, EMA color gradients, structural lines, and BOS labels combine to provide both statistical trend confirmation and actionable structural cues.
Strategy Integration
EMA Market Structure integrates seamlessly into trend-following and swing-based trading systems:
Trend Alignment : Confirm higher-timeframe EMA slope before entering continuation trades.
BOS Entry Triggers : Use BOS events aligned with EMA trend for tactical entries and stop placement.
Support/Resistance Mapping : Swing lines and zones help define areas for scaling, exits, or reversals.
Volatility Context : ATR-based smoothing and stop-loss buffers accommodate varying market volatility, ensuring robustness across conditions.
Multi-Timeframe Coordination : Combine higher-timeframe EMA trend and swings with lower-timeframe structural events for precision entries.
Technical Implementation Details
Core Engine : EMA slope and ATR-normalized acceleration for gradient-driven trend visualization.
Swing Framework : Pivot-based high/low detection with configurable bar lengths and cool-off intervals.
Structural Visualization : Lines, zones, and labels for high-fidelity mapping of support/resistance and BOS events.
BOS Engine : Detects structural breaks aligned with EMA trend, automatically plotting stop-loss lines and visual cues.
Performance Profile : Lightweight, optimized for real-time responsiveness across multiple timeframes.
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Ideal for intraday swing spotting and microstructure trend tracking.
15 - 60 min : Medium-range structural analysis and BOS-driven entries.
4H - Daily : Macro trend mapping and key swing-based support/resistance identification.
Suggested Configuration:
EMA Length : 50
Swing Length : 5
Swing Cooloff : 10 bars
BOS Cooloff : 15 bars
SL Buffer : 0.1%
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Trending markets with defined swings and structural consistency.
Markets where EMA slope and acceleration reliably indicate momentum changes.
Reduced Effectiveness:
Choppy or sideways markets with minimal swing definition.
Random walk assets lacking clear structural anchors.
Integration Guidelines
Confluence Framework : Combine with volume, momentum, or BOSWaves structural indicators
to validate entries.
Directional Control: Follow EMA slope and BOS alignment for high-conviction trades.
Risk Calibration: Use SL projections for disciplined exposure management.
Multi-Timeframe Synergy: Confirm higher-timeframe trend before executing lower-timeframe structural trades.
Disclaimer
The EMA Market Structure is a professional-grade trend and structure visualization tool. It is not predictive or guaranteed profitable; performance depends on parameter tuning, market regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack integrating trend, liquidity, and structural context. Indicator
MOMO – Imbalance Trend (SIMPLE BUY/SELL)MOMO – Imbalance Trend (SIMPLE BUY/SELL)
This strategy combines trend breaks, imbalance detection, and first-tap supply/demand entries to create a clean and disciplined trading model.
It automatically highlights imbalance candles, draws fresh zones, and waits for the first retest to deliver precise BUY and SELL signals.
Performance
On optimized settings, this strategy shows an estimated 57%–70% win-rate, depending on the asset and timeframe.
Actual performance may vary, but the model is built for consistency, discipline, and improved decision-making.
How it works
Detects trend structure shifts (BOS / Break of Trend)
Identifies displacement (imbalance) candles
Creates supply and demand zones from imbalance origin
Waits for first tap only (no second chances)
Confirms direction using trend logic
Generates clean BUY/SELL arrows
Automatic SL/TP based on user settings
Features
Clean BUY/SELL markers
Auto-drawn supply & demand zones
Trend break markers
Imbalance tags
Smart first-tap confirmation
Customizable stop loss & take profit
Works on crypto, gold, forex, indices
Best on M5–H1 for day trading
Note
This strategy is designed for day traders who want clarity, structure, and zero emotional trading.
Use it with discipline — and it will serve you well.
Good luck, soldier. Strategy
SMC Structures and Multi-Timeframe FVG PYSMC Structures and Multi-Timeframe FVG Indicator
Tip: For optimal performance, adjust the number of FVGs displayed per timeframe in the settings. On high-performance devices, up to 8 FVGs per timeframe can be used without issues. If you experience slowdowns, reduce to 3 or 4 FVGs per timeframe. If the chart flashes, disable indicators one by one to identify conflicts, or try using the PulseWire Mobile or Windows App for a smoother experience.
Overview
This Pine Script indicator enhances market analysis by integrating Smart Money Concepts (SMC) with Fair Value Gaps (FVG) across multiple timeframes. It identifies trend continuations (Break of Structure, BOS) and trend reversals (Change of Character, CHoCH) while highlighting liquidity zones through FVG detection. The indicator includes eight customizable Moving Average (MA) curve templates, disabled by default, to complement SMC and FVG analysis. Its originality lies in combining multi-timeframe FVG detection with SMC structure analysis, providing traders with a cohesive tool to visualize price action patterns and liquidity zones efficiently.
Features and Functionality
1. Fair Value Gaps (FVG)
The indicator detects and displays bullish, bearish, and mitigated FVGs, representing liquidity zones where price inefficiencies occur. These gaps are dynamically updated based on price action:
Bullish FVG: Displayed in green when unmitigated, indicating potential upward liquidity zones.
Bearish FVG: Displayed in red when unmitigated, signaling potential downward liquidity zones.
Mitigated FVG: Shown in gray once the gap is partially filled by price action.
Fully Mitigated FVG: Automatically removed from the chart when the gap is fully filled, reducing visual clutter.
Users can customize the number of historical FVGs displayed via the settings, allowing focus on recent liquidity zones for targeted analysis.
2. SMC Structures
The indicator identifies key SMC price action patterns:
Break of Structure (BOS): Marked with gray lines, indicating trend continuation when price breaks a significant high or low.
Change of Character (CHoCH): Highlighted with yellow lines, signaling potential trend reversals when price fails to maintain the current structure.
High/Low Values: Blue lines denote the highest high and lowest low of the current structure, providing reference points for market context.
3. Multi-Timeframe FVG Analysis
A standout feature is the ability to analyze FVGs across multiple timeframes simultaneously. This allows traders to align higher-timeframe liquidity zones with lower-timeframe entries, improving trade precision. The indicator fetches FVG data from user-selected timeframes, displaying them cohesively on the chart.
4. Moving Average (MA) Templates
The indicator includes eight customizable MA curve templates in the Settings > Template section, disabled by default. These templates allow users to overlay MAs (e.g., SMA, EMA, WMA) to complement SMC and FVG analysis. Each template is pre-configured with different periods and types, enabling quick adaptation to various trading strategies, such as trend confirmation or dynamic support/resistance.
How It Works
The script processes price action to detect FVGs by analyzing three-candle patterns where a gap forms between the high/low of the first and third candles. Multi-timeframe data is retrieved using Pine Script’s request.security() function, ensuring accurate FVG plotting across user-defined timeframes. BOS and CHoCH are identified by tracking swing highs and lows, with logic to differentiate trend continuation from reversals. The MA templates are computed using standard Pine Script TA functions, with user inputs controlling visibility and parameters.
How to Use
Add to Chart: Apply the indicator to any PulseWire chart.
Configure Settings:
FVG Settings: Adjust the number of historical FVGs to display (default: 10). Enable/disable specific FVG types (bullish, bearish, mitigated).
Timeframe Selection: Choose up to three timeframes for FVG analysis (e.g., 1H, 4H, 1D) to align with your trading strategy.
Structure Settings: Toggle BOS (gray lines) and CHoCH (yellow lines) visibility. Adjust sensitivity for structure detection if needed.
MA Templates: Enable MA curves via the Template section. Select from eight pre-configured MA types and periods to suit your analysis.
Interpret Signals:
Use green/red FVGs for potential entry points targeting liquidity zones.
Monitor gray lines (BOS) for trend continuation and yellow lines (CHoCH) for reversal signals.
Align multi-timeframe FVGs with BOS/CHoCH for high-probability setups.
Optionally, use MA curves for trend confirmation or dynamic levels.
Clean Chart Usage: The indicator is designed to work standalone. Ensure no conflicting scripts are applied unless explicitly needed for your strategy.
Why This Indicator Is Unique
Unlike standalone FVG or SMC indicators, this script combines both concepts with multi-timeframe analysis, offering a comprehensive view of market structure and liquidity. The addition of customizable MA templates enhances flexibility, while the dynamic removal of mitigated FVGs keeps the chart clean. This mashup is purposeful, as it integrates complementary tools to streamline decision-making for traders using SMC strategies.
Credits
This indicator builds on foundational SMC and FVG concepts from the PulseWire community. Some open-source code was reused, and do performance enhancement as you guys can read the code. This type of indicators has inspiration was drawn from public domain SMC methodologies. All code is partly original with manual work on performance optimization in Pine Script.
Notes
Ensure your chart is clean (no unnecessary drawings or indicators) to maximize clarity.
The indicator is open-source, and traders are encouraged to review the code for deeper understanding.
For optimal use, test the indicator on a demo account to familiarize yourself with its signals.
Indicator
Market Structure ICT Screener [TradingFinder] BoS ChoCh🔵 Introduction
Market Structure is the foundation of every Smart Money and ICT based trading model. It describes how price moves through a sequence of highs and lows, forming clear phases of expansion, retracement and reversal. Understanding this structure allows traders to read institutional order flow and align their positions with the true direction of liquidity.
Two of the most critical components in Market Structure are the Break of Structure (BOS) and Change of Character (CHOCH). A BOS represents trend continuation, confirming strength within the current direction. In contrast, CHOCH also known as a Market Structure Shift (MSS) signals the first sign of a trend reversal or liquidity shift where order flow begins to change from bullish to bearish or vice versa.
Because the market is fractal, structure can exist at multiple levels known as Major (External) and Minor (Internal). Major structure defines the overall trend on higher timeframes while minor or internal structure reveals short term swings and early reversals within that larger move.
🔵 How to Use
Understanding Market Structure starts with identifying how price interacts with previous swing highs and swing lows. Every trend in the market, whether bullish or bearish, is built from a sequence of impulsive and corrective moves. Impulsive legs show strong displacement in the direction of liquidity flow, while corrective legs represent temporary pullbacks as the market rebalances before the next expansion. Recognizing these sequences is essential for reading the story of price and anticipating what may happen next.
A Break of Structure (BOS) occurs when price decisively moves beyond a previous structural point by breaking above the last high in an uptrend or falling below the last low in a downtrend. This event confirms that the current trend remains intact and that liquidity has been successfully taken from one side of the market. A BOS acts as confirmation of continuation and reflects strength within the existing directional bias.
A Change of Character (CHOCH) appears when price violates structure in the opposite direction of the prevailing trend. This is the first signal that market sentiment and order flow may be shifting. For example, during a downtrend if price breaks above a previous high, it indicates that sellers are losing control and a potential bullish reversal may be developing. In an uptrend, when price drops below a recent low, it suggests a possible bearish transition.
Because the market is fractal, structure exists across multiple layers. Major structure reflects the dominant movement visible on higher timeframes and defines the broader directional bias. Minor or internal structure represents smaller swings within that move and helps identify early transitions before they appear on the higher timeframe. When internal and external structures align, they offer a high probability signal for trend continuation or reversal.
By observing BOS and CHOCH across both internal and external structures, traders can clearly visualize when the market is expanding, contracting or preparing to shift direction. This structured understanding of price movement forms the foundation for precise trend analysis and high quality decision making in any Smart Money or ICT based trading approach.
🔵 Settings
🟣 Display Settings
Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
Table Mode : This setting offers two layout styles for the signal table :
Basic : Mode displays symbols in a single column, using more vertical space.
Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 20 symbol slots comes with a full set of customizable parameters :
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
Pivot Period : Set the length used to detect swing highs and lows. Shorter values increase sensitivity, longer ones focus on major structures.
🔵 Conclusion
Mastering Market Structure and understanding the relationship between BOS and CHOCH allows traders to see the market with greater clarity and confidence. These two elements reveal how liquidity moves through different phases of expansion and retracement and how institutional order flow shifts between accumulation and distribution.
By analyzing both internal and external structures, traders can align short term and long term perspectives and anticipate where price is most likely to react. The ability to read these structural shifts helps identify continuation points, reversals and areas where liquidity is engineered or collected.
Incorporating Market Structure into a consistent trading process transforms the way a trader views the chart. Instead of reacting to random movements, each swing, break and shift becomes part of a logical framework that reflects the true behavior of the market. Understanding BOS and CHOCH is not just a concept but a complete language of price that guides every professional decision in Smart Money and ICT based trading.
Indicator
SMC BOS - Structure Breaks & Median Continuation ProjectionsThis tool shows what usually happens after a Break of Structure (BOS).
It scans past BOS events on your chart, finds the ones most similar to the latest break (using ATR to filter by volatility), and then plots the median continuation path.
Optional percentile bands (P10–P90) display the possible range of outcomes around the median.
Key features:
• Automatic detection of bullish and bearish BOS events
• Library of past BOS with adjustable size and spacing
• ATR-based similarity and recency weighting
• Median continuation projections with optional percentile bands
• Customizable colors, signals, and stats table
• Works on any market and timeframe
Use cases:
• See how price typically behaves after a BOS
• Support SMC analysis with data-driven projections
• Improve trade planning by visualizing likely continuations
• Apply across crypto, forex, stocks, and futures
Originality:
Instead of only marking BOS, this script learns from history and projects forward the median path of the most similar past cases, adjusted for volatility. It turns BOS signals into practical continuation scenarios.
Instructions:
Add the indicator to your chart. When a BOS is detected, the projection is drawn automatically.
Use the settings to adjust the library, ATR weighting, projection style, percentile bands, and the display of signals or stats.
For questions or customization, contact Julien Eche (Julien_Eche) on PulseWire. Indicator
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