지금 시작

Smartmoneyconcepts

Fair Value Gaps + Inversion FVG [Quantum Algo]Fair Value Gaps + Inversion FVG █ OVERVIEW Most FVG indicators stop at drawing boxes. This one tracks the complete lifecycle of every gap — fresh → midline-tested → filled → INVERTED → retested — and automates the part of the model that traders actually trade: the Inversion Fair Value Gap (IFVG). A Fair Value Gap is a 3-candle imbalance left behind when price moves too fast for two-sided trade to occur. Price frequently returns to these zones. But when price closes through a gap instead of respecting it, the zone does not die — it flips polarity. A violated bullish gap becomes resistance; a violated bearish gap becomes support. The first retest of that inverted zone is one of the cleanest entry models in the Smart Money Concepts framework, and this script detects, restyles, and signals it automatically. █ FEATURES Gap detection — Bullish and bearish FVGs detected on confirmed bars only (non-repainting). — ATR minimum-size filter removes insignificant micro-gaps. — Optional displacement filter: the middle candle must be a genuine expansion bar (range greater than a configurable multiple of ATR), keeping only gaps created by aggressive participation. Volume strength score Every gap is stamped with a 0–100 score comparing the displacement candle's volume against its 20-bar average. A 90% gap and a 20% gap are not the same zone — now you can see the difference at a glance. Consequent Encroachment (CE) Each gap carries its 50% midline. The first touch of the CE is detected, the gap is visually dimmed to separate tested zones from fresh ones, and an alert is available. Inversion engine (IFVG) — A close through the gap converts it into an inverted zone with distinct styling. — The first retest of an inverted zone prints an on-chart signal (long model for inverted bearish gaps, short model for inverted bullish gaps). — A close back through the far side invalidates and removes the zone. — Inversion can be disabled, in which case gaps simply fill and are removed or frozen (wick-fill or close-fill modes). Multi-timeframe mode Display gaps from one higher timeframe directly on your chart as dashed boxes. HTF gaps are built exclusively from closed higher-timeframe bars, so they do not repaint. Dashboard A compact panel shows active bullish gaps, bearish gaps, inverted zones, plus the nearest demand level below price and the nearest supply level above it. Alerts Eight alert conditions cover the full lifecycle: new bullish/bearish gap, CE touch, fill, bullish/bearish inversion, and long/short IFVG retest. █ HOW DETECTION WORKS A bullish FVG forms when the current bar's low sits entirely above the high from two bars earlier — the zone spans that void. A bearish FVG is the mirror image. Detection runs only on bar close, so a gap that appears never disappears or redraws. Lifecycle state changes (CE touches, fills, inversions, retests) are likewise evaluated on confirmed bars. █ HOW TO USE IT 1. Classic continuation: in a trend, wait for price to retrace into a fresh high-strength gap aligned with the trend; the CE midline is the standard entry refinement. 2. Inversion reversal: when a gap is closed through, stop looking for the old reaction — wait for the retest of the inverted zone in the new direction. The on-chart IFVG markers identify exactly this moment. 3. Multi-timeframe confluence: enable HTF mode and prioritize chart-timeframe signals that occur inside a higher-timeframe gap. 4. Use the dashboard's nearest demand/supply readout for quick situational awareness of where the next reaction zones sit. Works on all symbols and timeframes. Crypto and index futures tend to produce the cleanest gaps on 5m–1H; forex gaps are more frequent on 15m and above. █ SETTINGS Detection — minimum gap size (× ATR), displacement filter, maximum zones kept on chart. Mitigation & Inversion — inversion on/off, fill source (close or wick), removal of filled gaps, retest signals. Multi-Timeframe — HTF on/off and timeframe selection. Visuals — colors for bullish / bearish / inverted zones, fill transparency, CE line, labels, dimming of tested gaps, dashboard. █ NOTES — All state changes occur on closed bars; the developing bar can always change until it closes. — This is an analysis tool for mapping imbalance and inversion zones, intended as a confluence layer within a complete trading plan. It is not a standalone buy/sell system. █ DISCLAIMER This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves substantial risk of loss. Past behavior does not guarantee future results. Always do your own research and apply sound risk management.
Pine Script® 인디케이터
Quantum-Algo의
Market Structure & LiquidityMARKET STRUCTURE & LIQUIDITY — Calibrated Zones, Premium/Discount & Setup Grade ================================================================================ WHAT THIS SCRIPT IS A single price-action framework that maps the structural read of a chart and then measures it. It plots market structure (break of structure and change of character), supply/demand order blocks, fair value gaps, resting liquidity (equal highs and lows) and the sweeps that take it, premium/discount with an optimal-entry band, a higher-timeframe bias, and a rolling volume profile. On top of those objects it does three things most structure tools do not: it validates every structure break, it scores each zone by confluence and quality, and it reports — using past data on the current symbol only — how often each zone type has actually been respected, with statistical confidence intervals. The levels are the raw material; the framework adds a measured read of which ones to trust. WHY THE COMPONENTS ARE COMBINED (how the parts work together) These are not independent indicators bolted together. They describe one process — how large participants build positions: rest liquidity, take it, displace price, and leave an inefficiency behind — and each layer covers a blind spot of the others, feeding one combined decision: - Market structure (swing and internal) gives trend context and the moment it shifts. Because raw break detection is noisy, a break is only counted when it shows real displacement (range expansion with body, or a volatility compression followed by a release), closes beyond the level with body rather than leaving a rejection wick, and breaks a tight, recent (quality) pivot. This removes most false breaks before anything else is drawn. - Regime context (efficiency ratio + ADX + volatility clustering + a whipsaw score) conditions how far to trust a read: continuation breaks are reliable in a trending regime, reversals are more reliable in a range, and a choppy regime weights everything down. Structure on its own cannot tell you this. - Liquidity (equal highs/lows, sweeps, and inducement) marks where stops rest and the moment they are taken — the trigger that typically precedes a real move, and the event that validates a nearby zone. - Order blocks and fair value gaps mark the origin of the displacement and the inefficiency price tends to revisit. A zone that forms on a sweep, on a high-volume node, in the correct half of the range scores highest — which is exactly why liquidity, the volume profile and premium/discount all feed the zone score rather than living in separate panes. - Volume profile (point of control, high- and low-volume nodes, and untested "naked" points of control) tells you whether a zone sits on acceptance (tends to hold) or on a thin gap (tends to slice), and marks magnet levels price is drawn back toward. - Premium/discount and the OTE band frame every zone as expensive or cheap relative to the current dealing range, so a long in discount and a short in premium are favoured. - The confluence engine and setup grade fuse structure direction, a recent sweep, zone quality, node type, premium/discount alignment, higher-timeframe bias and a momentum-divergence confirmation into one A/B/C read per zone, so the chart self-prioritises instead of leaving you to weigh eight things by eye. - Calibration measures, on past bars only, how often each zone type produced a meaningful reaction on the current symbol, and reports it with Wilson confidence intervals — so reliability is earned per instrument, not assumed. In one sentence: structure says direction, regime says whether to believe it, liquidity says when, the zones say where, premium/discount says whether it is worth it, the grade fuses them, and the calibration keeps the whole thing honest. HOW IT WORKS (mechanics, briefly) Pivots use the standard left/right confirmation, so structure is non-repainting: a break is only labelled after the pivot is confirmed and the close validates it. Order blocks anchor to the last opposing candle before a validated break, are scored on formation, and are re-scored for confluence on the most recent bar. Calibration records, the first time a zone is tagged, whether price then travels a chosen ATR multiple in the zone's direction within a fixed horizon, and aggregates that into the respect rate shown on the dashboard. All thresholds are ATR-relative, so nothing is tied to a particular price scale. HOW TO USE IT 1. Read the dashboard headline: the SETUP grade and the structure bias. 2. Favour higher-grade setups — a validated structure direction, a recent sweep, a fresh high-quality zone sitting on a volume node, in discount for longs or premium for shorts, with higher-timeframe agreement. 3. Use the OTE band for entry context and an opposing fair value gap as a logical target. 4. Check the respect rows. If order blocks or fair value gaps rarely hold on this symbol, weight the read down accordingly. 5. Treat everything as descriptive context, not a signal to act on. USE ON ANY MARKET The High / Low / Close source inputs let you drive structure, liquidity and premium/discount from any series (standard candles, Heikin-Ashi, or another source), so the framework applies to stocks, indices, futures, forex and crypto. A volume-borrow input supplies volume for symbols that report none. WHAT MAKES IT ORIGINAL The contribution is the closed loop, not the individual objects, which are common to price-action analysis. Here, validated structure and liquidity feed a per-zone confluence and quality score and a single setup grade, and a past-only calibration tracker reports each zone type's actual respect rate on the current symbol with confidence intervals. That turns a set of drawing tools into a measured, self-prioritising read. SETTINGS WORTH KNOWING - Break Validation: turn displacement, anti-wick and pivot-quality gates on/off and tune their strictness to make structure more or less selective. - Volume Profile / Nodes: bins, window and HVN/LVN percentiles control node tagging; naked POC tracking is session-based and turns itself off when the chart is not intraday. - Confluence & Setup Grade: cluster tolerance controls how close levels must be to count as confluent. - Calibration: horizon and minimum reaction define what counts as a "respected" zone. - Visuals: theme is auto/dark/light; grade-weighted opacity makes strong zones bold and weak ones faint; the identity strip shows the script name, symbol and timeframe. LIMITATIONS Pivots confirm after the right-bars lag, so forming structure is not drawn until confirmed. Volume layers require real or borrowed volume. Calibration describes past behaviour only — it is not a backtest and not a probability of future results. Every read is probabilistic context, never a certainty. DISCLAIMER This is a study/indicator for chart analysis and education only. It is not a strategy, not a recommendation, and not financial advice. It places no orders and guarantees no outcome. Markets carry risk, and the past behaviour of a level does not assure its future behaviour. Do your own research and manage your own risk.
Pine Script® 인디케이터
Market_Logic_India의
AI-Powered PDH/PDL Power Ranker [PhenLabs]📊 ML-Powered PDH/PDL Power Ranker Version: PineScript™ v6 📌 Description ML-Powered PDH/PDL Power Ranker is an adaptive support/resistance indicator that tracks Prior Day High and Prior Day Low levels across a configurable session lookback, then ranks each level on a 0–100 scale based on how strongly price has historically reacted to it. Instead of treating every PDH and PDL as equally important, this script continuously learns which levels deserve attention. It evaluates live touches, measures the realized rejection after a user-defined confirmation window, and updates each level with either a shared NLMS model or an independent Kalman estimator. The result is a causal, non-repainting ranking engine that helps traders focus on the strongest daily levels, identify high-confidence reaction zones, and ignore weak or stale liquidity areas. 🚀 Points of Innovation Adaptive level scoring using two genuine learning models: shared NLMS or per-level Kalman filtering Strictly causal labeling process that waits for confirmed post-touch reaction before updating any score Feature-based learning framework using wick rejection, relative volume spike, and ATR-normalized approach momentum Untouched-level score shrinkage logic that prevents zero-evidence levels from outranking proven levels Session-aware PDH/PDL generation that respects TradingView session boundaries, including extended-hours configurations Top-ranked dashboard plus high-confidence zone highlighting and touch alerts for fast execution workflow 🔧 Core Components PDH/PDL Session Engine: Captures completed-session highs and lows, stores them as active levels, and prunes old levels based on the selected lookback window ATR Zone Builder: Expands each level into a configurable reaction band using ATR(14), creating realistic touch zones instead of single-price lines NLMS Learning Model: Uses a normalized least-mean-squares filter to learn a global mapping from touch features to realized reaction quality Kalman Strength Filter: Maintains an independent latent-strength estimate for each level using scalar Kalman state updates Causal Touch Resolver: Snapshots features on zone entry, waits a fixed number of bars, then measures realized rejection with no lookahead Ranking Dashboard: Sorts active levels by display score and shows the strongest zones with age, touch count, and score 🔥 Key Features Ranks every active PDH and PDL from 0 to 100 so the best daily levels stand out immediately Offers two adaptive engines so traders can choose between cross-level learning (NLMS) or level-specific state estimation (Kalman) Uses entry-based touch detection to avoid overcounting consolidations sitting inside the same zone Applies ATR-normalized reaction measurement so scoring remains comparable across symbols and volatility regimes Highlights high-confidence zones directly on the chart when price is trading inside them Triggers alert conditions when price touches a zone whose score is above the high-confidence threshold Includes a clean top-5 ranking table so traders can identify the strongest daily levels at a glance 🎨 Visualization Dynamic zone boxes show each PDH and PDL as a buffered reaction area rather than a thin horizontal line Gradient-based score coloring makes weak levels fade cool and strong levels turn hot On-chart labels display level type, age in sessions, and current score Optional background highlight marks bars trading inside a high-confidence zone Ranking dashboard lists the top levels by score along with touch counts and exact price levels 📖 Usage Guidelines Level Detection Session lookback (days) — Default: 7 — Range: 1 to 15 — Controls how many completed sessions of PDH/PDL levels remain active. Lower values keep the chart cleaner; higher values preserve more historical daily structure. Zone buffer (× ATR-14) — Default: 0.15 — Range: 0.01 to 2.0 — Sets the half-width of each PDH/PDL zone in ATR units. Increase it for volatile markets; reduce it for tighter precision. Adaptive Model Adaptive model — Default: NLMS — Options: NLMS or Kalman — NLMS learns globally across all resolved touches, while Kalman maintains a separate evolving strength estimate for each level. Reaction confirmation bars — Default: 6 — Range: 2 to 50 — Defines how long the script waits after a touch before measuring the realized reaction. Larger values emphasize slower reversals; smaller values emphasize immediate rejection. NLMS step size (μ) — Default: 0.50 — Range: 0.01 to 2.0 — Controls learning speed for the NLMS model. Higher values adapt faster but can be more reactive. Kalman process noise (Q) — Default: 0.010 — Minimum: 0.0001 — Controls how quickly a level’s true strength is allowed to drift between observations. Kalman measurement noise (R) — Default: 0.20 — Minimum: 0.001 — Controls how noisy each touch observation is assumed to be. Higher values smooth updates and slow score changes. Display & Alerts Min score to display — Default: 55 — Range: 0 to 100 — Hides weaker levels from the chart while still tracking them internally High-confidence threshold — Default: 75 — Range: 0 to 100 — Defines which zones qualify for hot-zone highlighting and touch alerts Show ranking dashboard — Default: true — Toggles the top-ranked PDH/PDL table Highlight bar inside high-confidence zone — Default: true — Adds background emphasis when price is currently trading inside a strong zone ✅ Best Use Cases Intraday trading around prior-day liquidity and reaction zones Session traders who want objective ranking of PDH/PDL instead of manually judging every level Futures, indices, forex, and crypto markets where daily highs and lows act as repeat reaction points Confluence trading alongside structure, liquidity sweeps, VWAP, or order-flow tools Traders who want non-repainting, evidence-based level scoring instead of static daily levels ⚠️ Limitations The model needs resolved touch history before scores become highly informative, so early readings are more neutral PDH/PDL relevance depends on symbol behavior, session configuration, and timeframe context Very low-liquidity markets or feeds with weak volume data can reduce the usefulness of the volume-spike feature This indicator ranks reaction quality at prior-day levels; it does not predict trend direction by itself Kalman and NLMS may emphasize different behaviors, so traders should test which model best fits their market 💡 What Makes This Unique It does not just plot PDH and PDL — it learns which ones actually matter Its labeling process is fully causal, so model updates occur only after the reaction window has completed It combines level memory with adaptive inference instead of using a static heuristic score It prevents untouched levels from dominating the rankings through trust-weighted prior shrinkage 🔬 How It Works 1. Session Level Creation: At each new daily session boundary, the script stores the completed session’s high and low as fresh PDH and PDL levels Each level is assigned metadata including age, touch count, score state, and pending-observation slots 2. Touch Feature Capture: When price enters a zone from outside, the script records three features: wick rejection ratio, relative volume spike, and 3-bar ATR-normalized approach momentum This entry-only logic prevents repeated relabeling while price chops inside the same zone 3. Causal Reaction Resolution: After the selected confirmation window expires, the script measures realized rejection strength in ATR units That realized move is mapped into a normalized target so the model learns from consistent cross-market observations 4. Adaptive Score Update: In NLMS mode, the shared weight vector updates from every resolved observation, then blends the fresh model prediction with that level’s own EMA of realized reactions In Kalman mode, each level updates its latent strength estimate using scalar predict-and-correct filtering 5. Display Ranking and Alerts: The script converts model output into a 0–100 score, ranks active levels, colors zones by strength, and highlights high-confidence areas An alert condition fires when price touches a zone whose score is already above the selected confidence threshold 💡 Note: This script is designed to be non-repainting and strictly causal. For best results, use it as a level-prioritization engine inside a broader execution framework that includes market structure, trend context, and risk management.
Pine Script® 인디케이터
PhenLabs의
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? ─────────────────── 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. ─────────────────── 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. ─────────────────── 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 ─────────────────── 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. ─────────────────── 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 ─────────────────── 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 ─────────────────── 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
Pine Script® 인디케이터
FlowForge의
1
Market Structure Target Tracker [MarkitTick]💡 An advanced, multi-faceted analytical suite designed for traders who rely on price action and logical trend progressions. By systematically identifying structural pivots in the market, this tool automatically maps out Break of Structure (BOS) and Change of Character (CHoCH) events. Rather than simply plotting support and resistance, it integrates a sophisticated risk-management framework directly onto the chart, calculating dynamic Entry, Stop Loss (SL), and multiple Take Profit (TP) levels based on market volatility. Price action trading requires constant vigilance to identify local maxima and minima. This script relieves the trader of manual chart marking by perpetually analyzing rolling windows of price data. When an established swing high or low is breached, the indicator locks in the structural shift, evaluates higher timeframe momentum to filter out false breakouts, and establishes a forward-looking target zone. ✨ Originality and Utility Most market structure indicators limit their functionality to placing historical labels on the chart. The originality of this script lies in its forward-looking, state-aware tracking mechanism. It operates not just as an indicator, but as a simulated trade management dashboard. Once a structural break occurs, the indicator shifts into an active tracking state. It dynamically projects Entry and SL/TP bands anchored to the breakout, using Average True Range (ATR) to adapt to the asset's current volatility. Furthermore, it continuously evaluates the life-cycle of the structural break, monitoring price action to determine if the target is successfully hit or if the setup is invalidated by an opposing swing breach. This level of state persistence provides traders with an objective, real-time assessment of trade feasibility, risk-to-reward ratios, and trend duration. 🔬 Methodology and Concepts The script is built upon four foundational technical concepts, woven together into a unified logic sequence: • Pivot Detection The core engine scans for Pivot Highs and Pivot Lows. A Pivot High is confirmed when a specific bar's high is strictly greater than the highs of a defined number of bars both preceding and following it. This creates a fractal representation of market turning points. • Break of Structure (BOS) A bullish structure break occurs when the closing price of a confirmed bar exceeds the most recent Pivot High. Conversely, a bearish break occurs when the close drops below the most recent Pivot Low. The script categorizes the first break in a new direction as a CHoCH, and subsequent continuous breaks as BOS. • Higher Timeframe (HTF) Alignment To prevent trading against the dominant macroeconomic trend, the script optionally queries the Relative Strength Index (RSI) from a higher timeframe. If this filter is engaged, bullish breakouts are ignored unless the HTF RSI indicates bullish momentum, adding a crucial layer of directional confirmation. • Volatility-Adjusted Target Mapping Upon a valid breakout, the script captures the current ATR. It then maps out a predefined trade setup. The Entry is plotted slightly past the breakout line, the Stop Loss is placed at a multiple of the ATR away from the entry, and up to three Take Profit levels are projected using independent ATR multipliers. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The indicator translates discretionary price action theory into a strict, rule-based algorithmic framework grounded in discrete mathematics and statistical dispersion. • Local Extrema in Discrete Time Series The pivot detection relies on the mathematical definition of local extrema within a bounded domain. For a given time series of high prices $H_t$, a local maximum is identified at time $t$ if $H_t \ge H_{t \pm k}$ for a defined neighborhood $k$ (the Swing Length). By anchoring structural logic to these extrema, the script removes the subjectivity of trendline drawing, relying strictly on empirical data points that define the boundaries of recent market equilibrium. • Measurement of Dispersion via True Range The risk management module utilizes the Average True Range. The True Range ( NYSE:TR $) is defined as the greatest of the following: the current high minus the current low, the absolute value of the current high minus the previous close, or the absolute value of the current low minus the previous close. The ATR is a smoothed moving average of this NYSE:TR $. In academic finance, variance and standard deviation are common measures of risk; however, ATR is particularly robust for trading applications as it accounts for overnight gaps and limits, providing a highly adaptive measurement of kinetic market energy to appropriately size stop-loss thresholds. • Relative Momentum Standardization The Higher Timeframe filter utilizes the Relative Strength Index. The RSI standardizes the velocity of price movement onto a 0-100 scale by comparing the exponential moving average of recent gains to recent losses. By enforcing a rule where NYSE:RSI > 50$ is required for bullish structural breaks, the algorithm mathematically demands that the higher-degree derivative of price (momentum) aligns with the lower-degree breakout, statistically reducing the probability of mean-reverting false breakouts. 🎨 Visual Guide The script provides a rich, non-intrusive visual overlay to keep the trader informed of all active states and historical context. • Structure Break Lines Dashed Green Lines: Indicate historical and active Bullish breakouts. Dashed Red Lines: Indicate historical and active Bearish breakouts. Trend Labels: Triangles and markers (▲ BOS / ▼ CHoCH) appear at the midpoint of the break line to clearly annotate the structural shift. • Trade Projection Lines When a break is active, a cluster of dashed lines projects to the right of the current price action: Blue Line (►): Proposed Entry level. Red Line (✕): Stop Loss level based on ATR. Green Lines (●, ★, ◆): Three tiered Take Profit targets based on escalating ATR multiples. • The Heads-Up Dashboard Located in the top right corner, this table is the operational nerve center. It displays: Asset Ticker and Current Trend status. HTF Direction and a visual block-bar representation of the HTF RSI. Active BOS Level and Target Status (⏳ Pending or ✓ Hit). Exact price coordinates for Entry, SL, and all TPs. The active Risk-to-Reward (R:R) ratio for the first target. Statistical tracking of Total BOS counts and the duration (in bars) of the active setup. 📖 How to Use Traders can utilize this script as a complete ruleset for navigating trend continuations and reversals. When observing the chart, wait for the script to print a new BOS or CHoCH label. This signifies that a confirmed candle has closed beyond a significant structural pivot. If the HTF filter is enabled, this break already has the backing of higher timeframe momentum. Once the break prints, look to the dashed projection lines and the dashboard. The dashboard will display exact coordinates for a theoretical trade setup. You can use the blue Entry line to plan limit orders or market execution upon pullbacks. Set your structural stop-loss according to the red SL line, and place limit orders to secure profits at the green TP lines. Monitor the Dashboard's "Tgt Status". If price action reverses heavily and crosses the opposing pivot point before reaching the target, the script will trigger its auto-invalidation sequence, clearing the active lines and returning to a neutral scanning state. This helps in dynamically cutting risk when a setup structurally fails. ⚙️ Inputs and Settings The indicator is highly customizable, allowing adaptation to any asset or timeframe. • BOS Group Swing Length: Determines the lookback and lookforward period for pivot detection. Lower values react faster but produce more noise; higher values identify major macro swings. • Visibility Group Show BOS Line / Labels: Toggles the historical structural break drawings. Auto-Invalidate: When enabled, the script will cancel an active setup if the opposing structural extreme is breached. Color settings: Fully customize the hues for Bullish breaks, Bearish breaks, and Targets. • SL/TP Group Show Entry/SL/TP: Toggles the projection lines on the chart. ATR Length: The lookback period for calculating market volatility. Multipliers: Adjust the SL ATR Multiplier and the individual TP1, TP2, and TP3 multipliers to define your specific risk-to-reward parameters. • HTF Group HTF: Select the resolution for the higher timeframe filter (e.g., 240 for 4-hour, D for Daily). HTF Filter: Toggle the momentum alignment requirement on or off. HTF RSI Len: The period for the higher timeframe momentum oscillator. • Alerts Group The script features built-in webhook-ready JSON alerts that can notify external services the moment a BOS occurs or a target is successfully hit. ⚠️ 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. I 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.
Pine Script® 인디케이터
MarkitTick의
5
ML Liquidity Zone Classifier [PhenLabs]📊 ML Liquidity Zone Classifier Version: PineScript™ v6 📌 Description ML Liquidity Zone Classifier brings machine-learning-based filtering to liquidity mapping. Instead of drawing every possible order block, equal high, equal low, or volume zone, it evaluates current market conditions and only renders zones that score above a configurable confidence threshold. The script uses a rolling k-Nearest Neighbors (k-NN) classifier built directly in Pine Script. Each potential zone is described using three normalized features: relative volume, higher-timeframe alignment, and displacement strength. Those features are compared against a rolling training set of prior bars to estimate whether the current setup resembles historically meaningful liquidity events. The result is a cleaner liquidity tool designed to reduce chart clutter, improve selectivity, and help traders focus on zones with stronger contextual backing. 🚀 Points of Innovation • Built-in k-NN classifier for liquidity zone confidence scoring • Uses normalized multi-factor features instead of binary pattern logic alone • Non-repainting delayed labeling system for training samples • Auto higher-timeframe alignment that scales with the chart timeframe • Zone overlap control, mitigation logic, and max-height clamping for cleaner structure • Confidence-gated rendering so weak setups never reach the chart 🔧 Core Components • KNN Classifier: Measures similarity between the current setup and prior labeled setups using Euclidean distance across three features • Feature Engine: Converts volume, HTF proximity, and candle displacement into normalized 0 to 1 inputs • Zone Detection Layer: Detects bullish and bearish order blocks, equal highs, equal lows, and high-volume nodes • Zone Quality Gate: Filters zones by confidence, spacing, overlap, and size constraints • Zone Lifecycle Manager: Maintains arrays for boxes and labels, prunes old zones, and removes mitigated ones • Dashboard: Displays last detected zone, confidence score, and higher-timeframe directional bias 🔥 Key Features • Machine-learning confidence score from 0 to 100 for every valid setup • Automatic higher-timeframe selection based on current chart timeframe • Support for bullish and bearish order blocks using ATR-based displacement logic • Equal high and equal low detection using ATR-derived tolerance bands • High-volume node detection using rolling average volume and local peak validation • Zone deduplication to avoid stacked boxes at the same price area • Optional mitigation that deletes broken zones after price closes through them • Compact dashboard for live context and last-zone tracking 🎨 Visualization • Confidence-based zone coloring with stronger opacity and border emphasis for higher-quality zones • Labels printed directly on each zone with the zone type and confidence percentage • Right-extended boxes so active liquidity areas remain visible into future price action • Dashboard in the top-right corner showing Last Zone, Confidence, and HTF Bias • Bullish zones are displayed in green tones, bearish zones in red tones, and lower-confidence zones fade toward orange or gray 📖 Usage Guidelines KNN Classifier Settings • K (neighbors) — Default: 5 — Controls how many historical neighbors are used when calculating confidence. Lower values react faster; higher values smooth the model. • Training window — Default: 100 — Sets the maximum number of historical labeled samples stored in the rolling training set. Larger values add context but may slow adaptation. HTF Alignment Settings • Auto HTF — Default: true — Automatically selects a higher timeframe proportional to the current chart timeframe. • Auto HTF multiplier — Default: 12.0 — Multiplies the current chart period to estimate the target higher timeframe. • Manual HTF — Default: D — Used only when Auto HTF is disabled. Zone Detection Settings • Volume spike multiplier — Default: 1.5 — Minimum volume expansion required for a high-volume node. • Order block ATR mult — Default: 1.5 — Minimum candle body size relative to ATR required to qualify as a displacement candle. • Equal H/L tolerance — Default: 0.1 — ATR-based tolerance used to compare pivot levels for equal highs and equal lows. Zone Quality Settings • Min confidence to draw a zone — Default: 65 — Minimum classifier score required before a zone is rendered. • Min bars between zones — Default: 5 — Cooldown period between newly drawn zones. • Merge distance (ATR) — Default: 0.75 — Distance threshold used to reject overlapping or near-duplicate zones. • Max zone height (ATR) — Default: 2.0 — Maximum vertical size of a zone before it is clamped. • Remove zones when price breaks them — Default: true — Deletes support or resistance zones once price closes through them. • Max visible zones — Default: 6 — Keeps only the most recent zones visible on the chart. Advanced Settings • ATR length — Default: 14 — Used for displacement measurement, tolerance scaling, and size normalization. • Volume average length — Default: 20 — Rolling baseline for relative volume calculations. • Volume node peak window — Default: 20 — Lookback used to confirm whether a bar is a true local volume peak. • Pivot length — Default: 5 — Controls sensitivity for equal-high and equal-low pivot detection. • Label evaluation window — Default: 10 — Number of bars waited before assigning a training label to a past setup. • Label move threshold (ATR) — Default: 1.0 — Required future move in ATR units for a past setup to be labeled high probability. • Show dashboard — Default: true — Enables or disables the on-chart summary table. ✅ Best Use Cases • Traders who want fewer but higher-quality liquidity zones • SMC and ICT-style workflows that need stronger filtering on OB and EQH/EQL logic • Multi-timeframe traders who value HTF context in zone selection • Intraday traders trying to avoid clutter from weak or repeated structure levels • Quant-minded users who prefer confidence-based rendering over raw pattern detection ⚠️ Limitations • The classifier is still a lightweight Pine implementation, not a full external ML model • Confidence depends on the quality of recent market history inside the selected training window • The script needs time to build its training set before meaningful zones begin to appear • In highly abnormal volatility regimes, recent historical neighbors may be less representative • This tool is a probability filter, not a guaranteed reversal or continuation signal 💡 What Makes This Unique • Applies a true rolling k-NN classification process to liquidity-zone filtering inside Pine Script • Combines market structure logic with volume, HTF context, and ATR displacement in one scoring model • Keeps the chart clean by combining confidence gating, overlap suppression, cooldown spacing, mitigation, and pruning • Gives traders an interpretable probability score instead of forcing all detected zones to appear equally important 🔬 How It Works 1. Feature Extraction Each confirmed bar is converted into a three-feature vector. The script measures relative volume versus its moving average, distance to the nearest higher-timeframe OHLC level in ATR terms, and candle displacement strength based on body size versus ATR. 2. Delayed Labeling After a configurable number of future bars passes, the script checks whether price moved far enough from the original bar. If that move exceeds the ATR-based threshold, the historical sample is labeled as high probability; otherwise it is labeled low probability. 3. KNN Confidence Scoring When a new liquidity event appears, the script compares its feature vector against the rolling training set. It finds the nearest historical samples using Euclidean distance and converts their votes into a 0 to 100 confidence score. 4. Zone Validation A zone is only drawn if the confidence exceeds the minimum threshold and the candidate zone does not overlap an existing one too closely. Oversized zones are clamped, repeated zones are filtered out, and only one new zone can be placed within the cooldown window. 5. Live Zone Management Once drawn, zones extend to the right and remain active until mitigated. If price closes through a bullish zone from above or a bearish zone from below, the zone can be automatically removed to keep the display current. Note: This script is designed to be selective. If you use stricter confidence thresholds, larger gap settings, and mitigation enabled, you will typically see fewer but cleaner zones. Lowering the quality filters will increase signal frequency, but also increases chart noise.
Pine Script® 인디케이터
PhenLabs의
5
XAU Smart Money Bot V10.3 [SMC + EMA Confluence]XAU Smart Money Bot V10.3 XAU Smart Money Bot V10.3 is a Smart Money Concepts (SMC) based trading indicator designed specifically for Gold (XAUUSD). The indicator combines multiple market structure and momentum concepts into a single confluence-based system to identify high-probability BUY and SELL opportunities. Core Components The script combines: • 9 EMA / 21 EMA trend analysis • Higher Timeframe Bias filtering • Fair Value Gaps (FVG) • Order Blocks (OB) • Liquidity Sweeps • Market Structure Shifts (BOS / CHoCH) • Premium and Discount Zones • Displacement Candles • Volume Confirmation using OBV • ATR Volatility Filter The purpose of combining these concepts is to filter out weak setups and only generate signals when trend, liquidity, momentum and market structure align in the same direction. Signals are generated only when several conditions align simultaneously, reducing low-quality entries and helping traders focus on stronger setups. Unlike traditional SMC indicators that only display structure, this script combines Smart Money Concepts, EMA trend filtering, momentum confirmation and volatility filtering into a single scoring model. Signals are generated only when multiple conditions align, helping traders avoid low-probability setups. This indicator is not a simple combination of existing tools. It uses a custom confluence model that evaluates trend direction, market structure, liquidity events, momentum and volatility conditions before generating a signal. Signal Logic The indicator evaluates multiple bullish and bearish factors and creates a score-based confirmation model. A signal is generated when: Trend direction agrees with higher timeframe bias Market structure supports the trade direction Momentum and displacement are present Liquidity conditions are favorable Volatility requirements are met Entry System Instead of using market execution, the indicator calculates a Smart Money style entry zone based on recent price action. For every signal the script automatically plots: • Entry Level • Stop Loss Level • Take Profit Level The entry is designed to provide better risk-to-reward opportunities compared to chasing price after a signal appears. Visual Features The indicator displays: BUY / SELL labels Entry levels Stop Loss levels Take Profit levels EMA trend structure This allows traders to quickly evaluate potential setups directly on the chart. Recommended Markets Designed primarily for: XAUUSD (Gold) Recommended Timeframes 15 Minute 30 Minute 1 Hour Risk Disclaimer This indicator is intended for educational and analytical purposes only. No indicator can predict market movements with certainty. Always use proper risk management and perform your own analysis before entering any trade.
Pine Script® 인디케이터
vankos1416의
XAU Smart Money Bot V10.2 [SMC + EMA Confluence]XAU Smart Money Bot V10.2 XAU Smart Money Bot V10.1 is a Smart Money Concepts (SMC) based trading indicator designed specifically for Gold (XAUUSD). The indicator combines multiple market structure and momentum concepts into a single confluence-based system to identify high-probability BUY and SELL opportunities. Core Components The script combines: • 9 EMA / 21 EMA trend analysis • Higher Timeframe Bias filtering • Fair Value Gaps (FVG) • Order Blocks (OB) • Liquidity Sweeps • Market Structure Shifts (BOS / CHoCH) • Premium and Discount Zones • Displacement Candles • Volume Confirmation using OBV • ATR Volatility Filter The purpose of combining these concepts is to filter out weak setups and only generate signals when trend, liquidity, momentum and market structure align in the same direction. Signals are generated only when several conditions align simultaneously, reducing low-quality entries and helping traders focus on stronger setups. Signal Logic The indicator evaluates multiple bullish and bearish factors and creates a score-based confirmation model. A signal is generated when: Trend direction agrees with higher timeframe bias Market structure supports the trade direction Momentum and displacement are present Liquidity conditions are favorable Volatility requirements are met Entry System Instead of using market execution, the indicator calculates a Smart Money style entry zone based on recent price action. For every signal the script automatically plots: • Entry Level • Stop Loss Level • Take Profit Level The entry is designed to provide better risk-to-reward opportunities compared to chasing price after a signal appears. Visual Features The indicator displays: BUY / SELL labels Entry levels Stop Loss levels Take Profit levels EMA trend structure This allows traders to quickly evaluate potential setups directly on the chart. Recommended Markets Designed primarily for: XAUUSD (Gold) Recommended Timeframes 15 Minute 30 Minute 1 Hour Risk Disclaimer This indicator is intended for educational and analytical purposes only. No indicator can predict market movements with certainty. Always use proper risk management and perform your own analysis before entering any trade.
Pine Script® 인디케이터
vankos1416의
ICT/SMC Institutional Intelligence -- Dual Detection [IID]ICT/SMC Institutional Intelligence — Dual Detection An integrated ICT/SMC structural analysis system built around two independent verdict engines — Continuation and Reversal — that score the same market in parallel and surface what the price action is doing, where the market structure stands, and whether continuation or reversal pressure is building. The system describes conditions. It does not issue buy or sell instructions. --- █ What Makes It Different Dual independent verdict engines. Continuation and Reversal score simultaneously, against the same chart, with configurable conflict resolution — Show Both , Dominant Wins , or CONFLICT Flag — so traders see when both pressures are real, when one is dominant, and when the two are fighting. - Multi-factor confluence engine across three categories. A composite confluence score grouped into Zone , Reference , and Timing buckets, so traders can see what kind of confluence is present, not just how much. - Real-time Intelligence Briefing. A three-column briefing — STATE / OBSERVED / TRACKING — that translates the engine readings into plain structural language and tracks live events like pending sweep confirmations as they unfold. --- █ Key Capabilities The system includes BUT NOT LIMITED TOO: Dual verdict engines (Continuation and Reversal) scoring INACTIVE → EARLY → FORMING → BUILDING → CONFIRMED, with timeframe-aware multipliers and modifier handling for consolidation, lunch dead-zone, NY overlap, and active sweeps. - Structure detection including Break of Structure ( BOS ), Change of Character ( CHoCH ), and Market Structure Shift ( MSS ) across configurable timeframes, with validation-event freshness gating. - Zone management for Order Blocks (OB) , Fair Value Gaps (FVG) , Breaker Blocks (BB) , Balanced Price Range (BPR) , and Inverted FVG (iFVG) — each treated as dynamic support and resistance with full lifecycle tracking (formation, mitigation, inversion, aging, pruning). - Liquidity tracking including liquidity pool detection, liquidity sweep identification, and a sweep-reclaim confirmation-window finite-state machine that distinguishes a wick raid from a confirmed reclaim with follow-through. - Multi-factor confluence scoring across Zone , Reference , and Timing categories, with configurable STRONG / STANDARD / WEAK tier thresholds. - Five structural phases — Expansion, Pullback, Consolidation, Continuation, Reversal — classified at chart-timeframe speed, each with its own optional alert. - Multi-timeframe market-structure grid showing structure, swing position, zone presence, and trend per row. Rows hidden from the dashboard still compute for scoring. - Premium / Discount labelling and Optimal Trade Entry (OTE) zone detection (21–38% discount, 62–79% premium) from the active swing range. - Kill-zone awareness for Asian, London, NY AM, and NY PM sessions, with a lunch dead-zone modifier and asset-class-aware gating. - Three-EMA trend system and anchored VWAP (Daily / Weekly / Session / Monday anchors) with previous-anchor reference. - Session reference levels including previous-day high, previous-day low, and midnight open. - Impulse classification with displacement and absorption recognition, volume-climax exhaustion detection (opt-in), and an order-flow bias layer. - SMT divergence against up to two correlated tickers, with configurable inverse-correlation logic. - Intelligence Briefing delivering STATE / OBSERVED / TRACKING context on every confirmed bar. - Comprehensive alert system with alert conditions across three categories, individually toggleable, gated by bar close. - Multi-asset support with asset-class-aware behaviour for forex, crypto, equity-like instruments, and other classes. ! (dashboard-overview.png) (Screenshot: Full IID Dual dashboard on BTCUSDT during a Pullback phase — Market State verdict band, three-column Intelligence Briefing, multi-timeframe market structure grid, VWAP anchoring, confluence scoring, chart-timeframe intelligence, and Market Context with MAG / IMP / LIQ / BIAS) --- █ Who It's For Whether you follow ICT methodology , trade Smart Money Concepts (SMC) setups, or work in pure price action analysis, IID Dual is built to give you structural context without prescribing entries. It is designed for traders who want to read the market, not be told what to do — practitioners who already have an entry framework and want a measured, transparent map of the conditions around their setup. --- █ How It Works — The System The system reads the chart in layers: structural events, zone behaviour, liquidity dynamics, confluence, and live tracking — all feeding two parallel verdict engines that score the picture in tandem. The architecture is integrative, not modular-in-isolation. Each layer feeds the next: Structure detection runs first. Manual pivot logic with an ATR filter generates swing highs and lows, which produce BOS, CHoCH, and MSS validation events. These events have freshness windows — stale structure does not count toward the verdict. Zone management tracks every reactive level the structure produces. Order Blocks, Fair Value Gaps, Breaker Blocks, BPRs, and inverted FVGs are created, aged, tested, mitigated, and pruned. The system knows which zones are active, which have been touched, and which have inverted. Liquidity tracking maintains equal-high and equal-low pools and watches for sweeps. When a sweep occurs, a confirmation-window finite-state machine arms, then progresses through reclaim and follow-through — distinguishing a real institutional rotation from a stop-hunt that fails to confirm. The Intelligence Briefing surfaces what matters from this stream in plain language: what state the system reads, what structural evidence supports it, and what live events are being tracked right now. The confluence engine measures alignment by counting the active factors across Zone, Reference, and Timing categories, then classifying the percentage into STRONG, STANDARD, or WEAK tiers. Both verdict engines score this picture in parallel. The Continuation engine combines higher-timeframe bias, confluence, kill-zone alignment, impulse, liquidity-path clearance, volume, and structural bonuses. The Reversal engine requires hard gates — fresh CHoCH/MSS/BB-retest against bias, plus a prior validated sweep — before it allows a score, then composes its tier from validation age, sweep quality, confluence, impulse, volume, FVG, equal-highs/lows, kill-zone, and SMT divergence. Conflict routing decides what the trader sees when both engines are active: both sides displayed, the configured dominant engine wins, or an explicit CONFLICT flag is raised. The trader decides. ! (engine-continuation-breakdown.png) (Screenshot: Continuation engine on EUR/USD 15M during a bullish trending move — FORMING ▲ BULL 54%, with full component breakdown visible: BIAS 1 + CON 16 + KZ 5 + IMP 6 + LIQ 0 + B8 = 54%, driven by CON; Reversal independently inactive) ! (engine-reversal-breakdown.png) (Screenshot: Reversal engine on US30 15M after a confirmed CHoCH event — CONFIRMED ▼ BEAR 74%, with full component breakdown visible: VAL 25 + SWP 20 + CON 8 + IMP 7 + KZ 0 + E5 = 74% (CHoCH); Continuation independently EARLY ▲ BULL 22%) --- █ The Dashboard The dashboard is a structured top-to-bottom readout, with seven bands designed to be read in order: Market State (top) — both engine tiers and percentages plus the central market-state classification Intelligence Briefing — STATE / OBSERVED / TRACKING in three cards Multi-timeframe structure grid — one row per configured timeframe with TF, swing position, structure pattern, OB up/down, BB, FVG, and trend VWAP row — current anchor distance and previous anchor reference Confluence — tier summary plus factor breakdown by Zone, Reference, and Timing Chart Timeframe Intelligence — volume, swing percentile, volatility, session, and kill-zone status Market Context — MAG (nearest magnet), IMP (impulse history), LIQ (sweep status), and BIAS (multi-timeframe consensus) Every row is individually toggleable. The dashboard position and background opacity are configurable. Critically, structure grid rows hidden from view still compute for scoring — traders can simplify what they look at without losing analytical depth. ! (dashboard-annotated-walkthrough.png) (Screenshot: Annotated walkthrough of every dashboard band — Market State, Intelligence Briefing, multi-timeframe Structure Grid, VWAP, Confluence, Chart Timeframe Intelligence, and Market Context — each labelled in reading order) ! (structure-grid-closeup.png) (Screenshot: Per-timeframe structure grid showing one row per configured timeframe with swing position, structure pattern, order block and FVG presence, breaker blocks, and trend — multi-timeframe discount and sweep alignment visible vertically down the columns) --- █ The Intelligence Briefing No other ICT/SMC indicator delivers this layer — a three-column briefing that translates the engine readings into plain structural language, telling the trader what the system reads, what evidence it sees, and what events it's tracking right now. STATE classifies the current market condition — Continuation phase, Reversal phase, Consolidation, Expansion, Pullback, or DUAL STAND-DOWN when neither engine is sufficiently active — and identifies which engine is dominant when both are scoring. OBSERVED describes the structural evidence the system has registered around the current state, expressed in ICT/SMC vocabulary rather than raw values. TRACKING is the live monitor. When a liquidity sweep arms the confirmation window, TRACKING shows the pending event, the countdown to the confirmation deadline, and the active kill-zone context. When no event is pending, it shows the directional narrative or stays quiet — silence is information too. The briefing updates on the last confirmed bar so traders read a stable, non-flickering snapshot of what the system understands about this moment in the chart. ! (intelligence-briefing-closeup.png) (Screenshot: Intelligence Briefing close-up — STATE classifies the current market reading, OBSERVED describes the structural evidence in ICT/SMC vocabulary, TRACKING reports live events including pending sweep confirmations and active kill-zone context) --- █ Setup & Configuration The defaults work out of the box, but a few inputs are worth knowing about — they determine which timeframes the indicator reads from, how its multi-TF grid is structured, and how patient the indicator is when classifying impulse and structure. The three subsections below cover each in turn. All three are independent — changing one does not change the others. █ Context & Validation Timeframes The indicator's primary anchor points are two timeframe inputs. Context timeframe (bias) sets the higher TF the indicator reads bias from. Validation timeframe (confirmation) sets the TF where structural events (BOS, CHoCH, MSS) need to confirm before the engines treat them as valid. The defaults are 1 hour Context and 15 minutes Validation. These match a Day Trader's typical workflow — a higher-TF bias view paired with a lower-TF confirmation window. Scalpers will usually want lower values for both (15m Context / 1m Validation is common). Swing traders running H4 or daily charts will want higher values (4h Context / 1h Validation, or higher). The two inputs work together but are independent. Changing Context doesn't change Validation; changing either doesn't affect the Trader Type setting or the Structure Grid configuration. Pick the pair that matches the structural read you actually trade — the indicator does the rest. ! (setup-context-validation.png) (Screenshot: Properties → Inputs → Timeframes — Context timeframe (bias) and Validation timeframe (confirmation) at their defaults of 1 hour / 15 minutes) █ Structure Grid Configuration The 7-Timeframe Market Structure Grid is fully customisable. Each of the seven rows has two settings: a timeframe selector (any TF from 1-minute to monthly) and a Show toggle. The default ladder is Weekly, Daily, 4-hour, 1-hour, 15-minute, 5-minute, 1-minute — covering the most common trading horizons from high-timeframe context down to execution. Any row can be reassigned to a different TF, and rows can be enabled or disabled individually using their Show checkboxes. A trader running a non-standard ladder (e.g., only the four TFs they actually trade) can hide the rest. Hidden rows still compute for scoring. This is important — the indicator's engines, BIAS aggregation, and confluence logic read from all seven configured rows regardless of which are visible. Hiding a row removes it from the dashboard display, not from the analysis. Customise the visible ladder to match what you want to see ; the indicator continues to use the full 7-TF data for its decisions. ! (setup-structure-grid.png) (Screenshot: Properties → Inputs → Timeframes — the seven Structure row dropdowns at their defaults (Weekly → 1-minute ladder), each with an individual Show checkbox; in this view, only the 15-minute row is set to Show) █ Trader Type Trader Type is a single dropdown with three values: Scalper, Day Trader (default), and Swing. It controls how patient the indicator is. The setting doesn't change which timeframes the indicator reads. What it changes is the sensitivity applied to that data. Scalper reacts faster: smaller candle bodies count as meaningful, shorter consolidations register, recent structural events qualify as fresh. Swing waits longer: bodies need to be more decisive, consolidations more developed, events more recent. Day Trader sits between them. The effect shows up in several places — IMP row candle classifications in Market Context, TREND column readings in the Structure Grid, the Structural Phase header in the Verdict Banner, and delivery-state consolidation detection. The same chart and timeframes will produce different engine reads under different Trader Types because the indicator is asking different questions about the same data. Pick Trader Type to match your trading style — how long you typically hold trades and how patient you are waiting for setups — not the chart timeframe you happen to be viewing. A scalper running a 1-minute chart will likely want Scalper; a swing trader on H4 will likely want Swing. But the mapping isn't enforced — Trader Type just tells the indicator how strict to be. Trader Type and the timeframe inputs are independent. Selecting a different Trader Type does not change your Context or Validation Timeframe values. For a complete style-switch, change all three together. ! (setup-trader-type.png) (Screenshot: Properties → Inputs → Trader Profile — the Trader type dropdown open, showing Scalper, Day Trader (default, highlighted), and Swing) --- █ Reading the Indicator on a Live Chart The dashboard mockups above show what each section looks like. The four worked examples below show what each section does — captured from real TradingView replay sessions, with the indicator running on price as it would in normal use. Each scenario teaches one state the system can be in. Conditions Ripening — system naming the pre-confirmation state ! (scenario-conditions-ripening.png) (Screenshot: XAUUSD 5M during live replay — displacement and impulse are building; the system reports the setup before any signal fires) (Dashboard view: Verdict Banner + Market Context. Other sections hidden.) Most indicators are silent until conditions confirm, then they fire. IID Dual reports the state before the signal: when displacement and impulse start building a directional case, the Market State band names it explicitly as CONDITIONS RIPENING · FORMING · PRE-PHASE. The system isn't predicting; it's describing what it sees, with timestamps. Underneath, the impulse layer doesn't just report a single reading — it shows the progression : HLLW → WEAK → SLID → NOW: STRG ↓ at 138% volume, momentum present. Four stages, each named, each timestamped. The displacement isn't a wick; the case is building. If the next bars deliver continuation, the engine will progress from FORMING to BUILDING to CONFIRMED. If the move stalls, the ripening narrative dissolves and the system moves on. █ TRACKING in Action — sweep confirmation window ! (scenario-tracking-in-action.png) (Screenshot: XAUUSD 5M during live replay — a chart sweep arms the confirmation window; the system reads the event and counts down) (Dashboard view: Verdict Banner + Intelligence Briefing + Pending Strip. Other sections hidden.) A sweep alone isn't a reversal — it's a question. When price takes out a swing high or low and the confirmation window arms, the dashboard surfaces the pending event explicitly — here a bear sweep at 4762.905, 4 of 5 bars remaining — and the TRACKING column counts down bar by bar so the trader knows whether they're watching a confirmed reclaim or a failed raid. Above, the verdict banner shows Reversal already reading EARLY ▼ BEAR 81% — the engines have priced the structural case; the pending sweep is the live evidence that confirms or invalidates it. The dashboard isn't predicting; it's reading the chart in real time and reporting what it sees. If the bar closes back inside the original range before the counter expires, the sweep is confirmed and the structural-reversal case strengthens. If the window expires without a clean close, the raid failed and the system moves on. █ Divergent Signals — both engines speaking at once ! (scenario-divergent-signals.png) (Screenshot: XAUUSD 5M during live replay — both engines scoring the same chart: Continuation FORMING bear, Reversal BUILDING bull — the system flags the divergence explicitly) (Dashboard view: Verdict Banner + Intelligence Briefing. Other sections hidden.) Most indicators force a single directional read. IID Dual lets both engines speak. When a fresh MSS on chart arms the reversal case but the prior continuation hasn't fully invalidated, the dashboard shows both engines scoring at once — here Continuation FORMING ▼ BEAR 22% alongside Reversal BUILDING ▲ BULL 55%, with the Market State band reporting "DIVERGENT SIGNALS · OPPOSED · ENGINES SPLIT" and the sub-line stating "engines disagree . wait for resolution before acting." The STATE column in the Intelligence Briefing reinforces with "DIVERGENT SIGNALS ⚠ Conflict." The system isn't choosing for the trader; it's reporting what it sees, in detail. If the trader has configured Dominant Wins , the higher-tier engine (here Reversal at 55%) takes the displayed read. If Show Both or CONFLICT Flag is set, the dashboard surfaces the disagreement rather than resolving it — leaving the read to the trader's judgement. █ Confluence Breakdown — what KIND of confluence is active ! (scenario-confluence-breakdown.png) (Screenshot: XAUUSD 5M during live replay — multiple timing factors firing while zone and reference categories sit partial; the dashboard splits the confluence score into its three constituent buckets) (Dashboard view: Verdict Banner + Confluence row. Other sections hidden.) Confluence usually arrives as a single number. IID Dual splits it. The CONFLUENCE row reports the headline — here 6/15 STANDARD mixed — but the three category lines beneath name exactly what kind of confluence is active: ZONE 2/7 , REFERENCE 0/4 inactive , TIMING 4/4 . Read those three lines and the same 6/15 score tells a much sharper story. TIMING is fully saturated — every timing factor the system tracks is firing. ZONE is partial — a sweep and a premium/discount read, but no order block or FVG contribution. REFERENCE is silent — no EMA or VWAP alignment in play. A trader who relies on EMA structure now knows their preferred confluence layer isn't contributing; a trader who weighs timing knows the timing-side case is as strong as it gets. The headline number is honest; the breakdown is where the read lives. --- █ Component Reference The four worked examples above teach what the system does in different market states. The nine entries below cover what each component shows , in isolation — each captured with only that component visible, so its structure and tooltips can be read without competition. The Properties panels in each image are the recipe; replicate any view by setting the same toggles. █ Chart Overlays ! (anatomy-chart-overlays.png) (Screenshot: EURUSD 15M — chart populated with the indicator's full visible vocabulary; Structure Grid configured to a single TF on the right as a bridge to the dashboard) Chart Overlays are the indicator's chart-side teaching layer — they show you what the dashboard is actually reading from. Every zone, structural marker, and event tag the indicator draws directly on price corresponds to a cell or column somewhere in the dashboard. Zones (OB, FVG, iFVG, BB, BPR) appear as coloured regions with right-edge labels naming what they are. Structural markers (BOS, CHoCH, MSS, DISP) sit at the bars where the indicator detected those events. Sweep tags (SWEEP, SMT BEAR, SMT BULL) mark the levels where liquidity was taken. Chart overlays don't carry hover-tooltips themselves — the dashboard's other components do the descriptive work. Here, the 1-TF Structure Grid sits next to the chart as a bridge: each chart object the indicator draws on price (BEAR OB, BULL FVG, BOS, SWEEP) corresponds to a cell in the grid's columns. The tooltip surfaced on the TF cell confirms the system-wide principle: "Timeframe row. Hidden rows can be toggled, but engine computation continues." The chart-side vocabulary is foundational. Every other section in this reference reads from these objects — the Structure Grid summarises them across timeframes, the Confluence row counts them as factors, the engines score them through tier logic. This view uses three toggles: Show dashboard, Show chart overlays, and Show 7-timeframe market structure grid (configured to one TF). The Properties panel on the left shows the configuration. The full multi-timeframe treatment of chart objects is covered next, in the Structure Grid. █ Verdict Banner ! (anatomy-verdict-banner.png) (Screenshot: EURUSD 10M — engines scoring in opposition, Market State band naming the divergence; centre cell hovered) The Verdict Banner is the dashboard's headline read — your one-glance answer to "what state is the market in right now?" . Three cells across the top: Continuation on the left, Reversal on the right, Market State between them. Above all three, a Structural Phase header names the broader regime. The Market State cell carries a tooltip explaining each state's trigger. Here the band reads DIVERGENT SIGNALS, and the tooltip explains the rule: "One engine is BUILDING+ now while the other was BUILDING+ within 15 bars but faded below BUILDING." That last clause matters — the system holds memory of recently-strong engines for 15 bars, so a state can persist after the engine that earned it has cooled. The Intelligence Briefing uses the same memory principle on a 30-bar window. Read the banner as a system. The Continuation and Reversal cells each carry a tier (EARLY, FORMING, BUILDING, CONFIRMED) and a direction (BULL ▲, BEAR ▼) from that engine's own scoring. The Market State band synthesises: CONDITIONS RIPENING when displacement is building, CONTINUATION PHASE or REVERSAL PHASE when one engine dominates, DIVERGENT SIGNALS when the engines disagree. The sub-line names what's driving the read — "driven by CON" or "driven by BIAS + IMP" . The Structural Phase header at the top (PULLBACK, EXPANSION, REVERSAL, CONSOLIDATION) frames the macro regime. This view uses just two toggles: Show dashboard and Show verdict banner. The Properties panel on the left shows the configuration. The Verdict Banner is the only section that always speaks — other sections can read quiet, but the banner always reports something , even if INACTIVE 0%. █ Modifier & Trade-level Strip ! [Modifier strip — firing with engine impact](anatomy-modifier-strip.png) (Screenshot: EURUSD 10M — Modifier strip showing tag with Verdict Banner context above; modifier cell hovered) The Modifier & Trade-level Strip surfaces context the engine scores alone can't show — sessions, sweeps, conflicts, structural exceptions. It's a single row that sits beneath the Verdict Banner, normally quiet, lighting up only when a modifier is firing. When it does, it appears as a labelled tag — ` ` for a recent sweep contribution, ` ` for a session penalty, ` ` for a validation warning, and others. The hovered tooltip explains the active modifier's effect: "Validation conflict cuts Continuation by 1 tier; Reversal treats it as N/A." That's not a passive label — the modifier is actively changing the engine output. The Verdict Banner shown above reads Continuation FORMING ▼ BEAR 46%; without the conflict cut, the Continuation engine would presumably sit one tier higher. The double-exclamation ` ` notation marks high-priority modifiers — ones that materially change scoring rather than just nudging it. Each modifier in the strip's vocabulary has its own scoring rule. The strip is the indicator's way of surfacing context that the engine logic alone wouldn't expose — sessions, sweeps, conflicts, structural exceptions. This view uses three toggles: Show dashboard, Show verdict banner, and Show modifier and trade-level strip. The strip currently requires the Verdict Banner to be enabled to render — captured here as configured. █ Intelligence Briefing ! (anatomy-intelligence-briefing.png) (Screenshot: EURUSD 5M — REVERSAL EMERGING state with active sweep being tracked; STATE column hovered) The Intelligence Briefing answers "what is the indicator actually seeing right now?" in plain structural language. It translates engine percentages into the kind of observation a trader would make at the chart. Three columns: STATE (the indicator's current classification), OBSERVED (what structural evidence has been detected), TRACKING (what live events the system is watching). The STATE column tooltip surfaces an engine-logic principle: "Reversal is active now or was BUILDING+ within 30 bars, with Continuation outside handoff control." The system has memory — STATE doesn't just reflect the current bar's read, it reflects whether either engine was strong within a 30-bar window. The handoff system manages how engines pass control between phases. The Verdict Banner uses a similar 15-bar memory on its DIVERGENT trigger; together, the two windows mean the indicator reports on recent history, not just instantaneous classification. The OBSERVED column reports validated structural events — what the indicator has actually confirmed on chart. The TRACKING column reports pending events with countdowns — sweeps awaiting close confirmation, structural breaks under validation. When TRACKING is active, the system is mid-evaluation; when it's quiet, no live events are pending. This view uses just two toggles: Show dashboard and Show Intelligence Briefing. The Properties panel on the left shows the configuration. The Briefing is the dashboard's translation layer between the engines' percentages and the trader's structural vocabulary. █ 7-Timeframe Market Structure Grid ! (anatomy-structure-grid.png) (Screenshot: EURUSD 5M — the grid showing per-timeframe readings across Weekly through 1M, with the 5M row's SWING H/L cell hovered to surface its tooltip) The 7-Timeframe Market Structure Grid is a per-timeframe snapshot of where price sits in its swing range, what structural events have validated, what unfilled order blocks and FVGs sit at proximity, and what trend mode each timeframe is reading. One row per configured timeframe; one column per structural dimension. Each cell carries a hover-tooltip with its plain-language meaning. Hovering the 5M row's SWING H/L cell surfaces the tooltip shown: "5 52%. Equilibrium (EQ)." followed by a compact legend — the dot glyph marks the current position in the swing range, arrow glyphs name sweep and reclaim events, and the bracketed tags identify zone-state ( for premium, for discount, for equilibrium, for OTE — the optimal-trade-entry discount zone, for proximity to a swing extreme). The reading "5 52%" means the 5-minute timeframe sits at the 52nd percentile of its current swing range — squarely in equilibrium. Every other cell in the grid carries the same kind of legend on hover. The grid earns its keep when read vertically . A single timeframe showing tells you that one chart is in discount; five timeframes showing in the SWING H/L column tells you the whole structure is in discount and that any bullish entry sits with the broader ladder, not against it. The OB↑ and OB↓ columns work the same way — a column showing unfilled bullish order blocks at low proximity across multiple timeframes is a more durable read than the same reading on one timeframe alone. The TREND column on the far right collapses each timeframe's macro mode into one tag (CON for continuation, PUL for pullback, TRN for transition, REV for reversal); scan that column for the macro picture. This view uses just two toggles: Show dashboard and Show 7-timeframe market structure grid. The Properties panel on the left shows the configuration. Hidden rows still compute for scoring. Turning a timeframe off the display removes it from the visible grid, not from the engine — the dashboard simplifies the view, not the analysis. █ VWAP Row ! (anatomy-vwap-row.png) (Screenshot: EURUSD 10M — VWAP row showing current and prior-day anchor values; VWAP label cell hovered) The VWAP Row gives you the chart's daily fair-value reference without having to plot VWAP on chart. Three cells: a label, the current anchored VWAP with distance to price, and the prior-day completed VWAP value. The label cell carries the row's hover-tooltip: "Selected VWAP anchor is the fair-value reference. Middle shows current anchored VWAP and distance; right shows the prior completed anchor value." The middle cell — here reading `D: 1.16335 dn | 0.02% above` — packs two facts: the VWAP value is dropping (`dn`), and current price sits 0.02% above the VWAP line. Direction and distance reported in the same cell. The right cell — here `PD: 1.16412` — shows where yesterday's VWAP closed, available as a reference even after the new day's anchor has reset. VWAP serves the indicator's confluence and structural logic as a reactive level — a place price often respects on revisit. The row makes the reference and distance available at a glance without requiring VWAP to be drawn on chart. This view uses just two toggles: Show dashboard and Show VWAP row. The Properties panel on the left shows the configuration. The data cells don't carry their own tooltips; the label-level tooltip covers the whole row. █ Confluence Row ! (anatomy-confluence-row.png) (Screenshot: EURUSD 10M — confluence reading 7/15 STANDARD mixed; TIMING title hovered) The Confluence Row answers "how much evidence is the indicator seeing for the current read?" — and where that evidence is coming from. A headline score (here 7/15 STANDARD with a progress bar and a composition label) sits above three category lines: ZONE, REFERENCE, and TIMING. The TIMING title tooltip teaches one category's firing rule: "Timing factors activate during major killzones and while recent BOS, CHoCH, or MSS events are still fresh." The same activation logic applies by analogy to the others. ZONE factors fire when price interacts with structural zones (OB, FVG, BB, BPR, sweep proximity, premium/discount position). REFERENCE factors fire when price relates to anchored references (EMA, VWAP). Each category has its own count of how many factors are firing out of how many possible. The breakdown matters more than the headline number. Here ZONE reads 4/7 (partial), REFERENCE reads 0/4 inactive, TIMING reads 3/4 (near full). Same 7/15 score, but the composition tells a sharper story — timing-led and structurally-supported, with no reference-level alignment. The composition label at the top (here mixed ) names the dominant mode: structural-led when ZONE dominates, reference-led when REFERENCE dominates, timing-led when TIMING dominates, mixed when factors spread across categories. This view uses just two toggles: Show dashboard and Show confluence row. The Properties panel on the left shows the configuration. The headline number is honest; the breakdown is where the read lives. █ Detail Strip ! (anatomy-detail-strip.png) (Screenshot: EURUSD 10M — the strip showing all five chart-timeframe sub-components active; CHART TIMEFRAME INTELLIGENCE header hovered) The Detail Strip is the indicator's compact answer to "what's happening right now on this chart?" . Five chart-timeframe context readings packed into one row: volume, swing position, volatility, session state, and killzone countdown. The section header tooltip names the five sub-components in order: "Chart-timeframe inputs: volume, swing position, volatility, lunch state, and active killzone countdown." Each sub-component reports a small but distinct fact. VOL shows current volume relative to average. SWING reports where price sits within the current swing range and which zone-state applies ( , , , , ). VLT reports volatility deviation from baseline (`+36%` here). The session indicator names the active session (EARLY LDN visible) including the lunch state mentioned in the tooltip. The killzone countdown reports time remaining in the active killzone window (`11% KZ LONDON 160m`). These are all chart-timeframe inputs — they read from the timeframe of the chart, not from the multi-TF ladder. The Detail Strip is the indicator's compact context summary for "what's happening right now, on this chart." This view uses just two toggles: Show dashboard and Show detail strip. The Properties panel on the left shows the configuration. █ Market Context ! (anatomy-market-context.png) (Screenshot: EURUSD 10M — the four-row block showing structural context; IMP row hovered) Market Context tells you what the broader trading environment is doing — where the magnets are, whether impulse is building, what liquidity is doing, and whether the multi-timeframe picture leans one way. Four rows sitting near the bottom of the dashboard: MAG (magnet proximity), IMP (impulse progression), LIQ (liquidity state), and BIAS (cross-timeframe directional conviction). The IMP row tooltip reveals the indicator's candle-classification scoring rule: "STRONG/SOLID candles can score impulse; HOLLOW/ABSORBED/WEAK do not, though ABSORBED can add a Reversal pattern bonus." The IMP row shows the recent progression of candle classifications (`WEAK → SLID → SLID → NOW: STRG ↑ | 120% volume`) — a four-stage history of how impulse has built over recent bars. The Scenario 1 worked example above teaches this progression pattern in context. Each row in Market Context reports a different aspect. MAG names the nearest magnetic level (prior-day high, VWAP, prior-day low) and which is closest. LIQ reports active liquidity state — sweep awaiting, sweep active, structural-side dominance (BSL = buy-side, SSL = sell-side). BIAS aggregates conviction from all seven Structure Grid timeframes into a single signed read; its calibration tiers are 7 full, 5+ leaning, 3+ scattered, and no consensus. This view uses just two toggles: Show dashboard and Show market context rows. The Properties panel on the left shows the configuration. The BIAS row's aggregation from seven structure rows is the dashboard's clearest cross-section data flow — confluence among components, not just within one. --- █ Alerts Alert conditions span three categories, each individually toggleable, all gated by bar close (no intra-bar firing) and with built-in per-family cooldowns: ENGINE alerts fire when the Continuation or Reversal engine enters CONFIRMED. Master toggles per engine gate alerts only — both engines continue computing and displaying regardless. - STRUCTURE alerts fire on chart-timeframe phase transitions — Expansion, Pullback, Consolidation, Continuation, Reversal — and on confirmed sweep reclaims (after the confirmation-window FSM completes). - ZONE alerts fire when price enters swing-high or swing-low proximity, or when price enters the OTE discount (21–38%) or OTE premium (62–79%) zones. Use them à la carte. Subscribe to phase transitions for context, to engine confirmations for high-tier readings, or to zone entries for proximity-based attention. ! (alert-categories.png) (Screenshot: Alert conditions grouped by category — ENGINE for verdict confirmations, STRUCTURE for chart-timeframe phase transitions and sweep-reclaim events, ZONE for swing proximity and OTE discount/premium entries — each individually toggleable and bar-close gated) --- █ Getting Started Add IID Dual to any chart. The indicator works on any instrument and any timeframe TradingView supports. - Collapse the chart legend (click the arrow next to the indicator name) for a cleaner view — all status-line clutter is already suppressed by design. - Read the dashboard. Market State and the Intelligence Briefing give the headline; the structure grid, confluence breakdown, and market context fill in the detail. - Configure timeframes under the Timeframes input group to match your workflow, then choose your alert categories. --- █ Feeling Overwhelmed? Start Simple Dashboards in this category are often described as overwhelming. IID Dual is built to be turned down. Every section — Verdict Banner, Intelligence Briefing, Structure Grid, VWAP, Confluence, CTI strip, Market Context, Footer, Chart Overlays — is individually toggleable from the Properties panel. Each of the four worked examples above shows a different dashboard configuration — the toggles in their Properties panels are the recipe. ! (feeling-overwhelmed-divergent-demo.png) (Screenshot: EURUSD 10M · all sections lit · Cont 42% vs Rev 50% · the system speaking in full) A clean starting point: leave only Market State and the Intelligence Briefing on, and add bands back as their meaning clicks. Anything you hide still computes for scoring — you simplify the view, not the analysis. Every dashboard cell and every input carries a plain-language tooltip on hover, and status-line clutter is already suppressed by design. ! (properties-display-toggles.png) (Screenshot: Properties → Inputs → Display panel — every dashboard section individually toggleable, with (i) tooltip indicators that reveal plain-language explanations on hover for inputs and dashboard cells throughout) --- █ ICT/SMC Concepts Used Break of Structure (BOS) — price closes beyond a prior swing in the existing trend direction, confirming continuation. - Change of Character (CHoCH) — price closes beyond a prior swing against the current trend, signalling a possible regime change. - Market Structure Shift (MSS) — a higher-conviction structural break, often paired with displacement, marking a transition between bullish and bearish delivery. - Order Block (OB) — the last opposing candle before a displacement move, treated as an institutional reactive level. - Fair Value Gap (FVG) — a three-candle imbalance where price moved with insufficient overlap, leaving an inefficiency that may be revisited. - Inverted FVG (iFVG) — an FVG that has been traded through and now acts as resistance/support in the opposite direction. - Breaker Block (BB) — a failed order block that has been broken and retested, often signalling a structural pivot. - Balanced Price Range (BPR) — overlap of bullish and bearish FVGs, treated as a high-probability reactive area. - Liquidity Sweep — price taking out a prior swing high/low (equal highs/lows or pivot extremes) before reversing. - Sweep Reclaim — a confirmed sweep where price closes back inside the original range with follow-through, distinguishing a successful raid from a continuation. - Premium / Discount Zones — the upper and lower halves of the active swing range; OTE values sit within these. - Optimal Trade Entry (OTE) — the 62–79% premium retracement (short-bias) and the 21–38% discount retracement (long-bias) of the active swing. - Kill Zones — the Asian, London, NY AM, and NY PM session windows where institutional volume is concentrated. - VWAP — Volume Weighted Average Price, anchored to Daily, Weekly, Session, or Monday, with previous-anchor reference. - Impulse Classification — categorisation of directional moves by displacement strength, absorption, and volume context. --- █ Limitations, Transparency & Development Built-in tooltip system. Every cell, column header, and dashboard section in IID Dual carries a contextual tooltip. Hover over any data point, a verdict state, a confluence factor, a structure label, a modifier, a row title, and the indicator explains what you're looking at, how it was calculated, and what it means in the current market context. The dashboard is designed to teach as you use it, so newcomers to ICT and SMC concepts can build fluency without leaving the chart, and experienced traders can verify the exact methodology behind any reading. The Intelligence Briefing is the primary interpretive layer; the tooltip system is the reference layer beneath it. Non-prescriptive by design. This indicator describes market conditions. It does not issue buy or sell instructions, place orders, or claim a strategy edge. Alerts report state changes — not trade calls. Methodology honesty. The confluence engine treats its factors with equal weighting; the Intelligence Briefing's OBSERVED column is intentionally conservative and may show fallback narration when structural evidence is sparse. The Reversal engine requires hard gates before it will score, which by design produces fewer signals than the Continuation engine. Not financial advice. Trading involves risk. This indicator is an analytical tool. All decisions are the trader's. Active development. IID Dual is actively maintained. Feature updates, additional alert conditions, methodology refinements, and bug fixes are delivered through code updates — see release notes below the description for the latest changes.
Pine Script® 인디케이터
edervonte의
9
Smart Money Sentiment Index [MarkitTick]💡A comprehensive analytical tool designed to bridge the gap between underlying market psychology and structural price action. By synthesizing a multi-dimensional sentiment oscillator with an advanced market structure mapping system, this indicator provides a holistic view of market dynamics. It is engineered to identify periods of psychological exhaustion—where market participants exhibit extreme fear or greed—and cross-reference these anomalies with significant shifts in supply and demand. This confluence allows for a highly disciplined approach to navigating volatile environments, ensuring that structural analysis is always contextualized by prevailing market sentiment. ✨ Originality and Utility Traditional oscillators typically isolate a single variable, such as momentum or volume, which often leads to diverging signals during complex market phases. Furthermore, structural mapping tools operate strictly on price geometry without considering the behavioral state of the market. This tool is highly original because it resolves this disconnect. It operates as a strategic mashup, justifying the combination of sentiment analysis and structure mapping by positing that structural breaks are significantly more reliable when they align with behavioral extremes. By unifying these two previously disparate analytical frameworks, the indicator filters out structural noise that occurs in neutral psychological zones, delivering a refined perspective on market conditions. 🔬 Methodology and Concepts The underlying methodology relies on a dual-engine architecture, carefully abstracted to maintain calculation integrity and protect core logic. • The Sentiment Engine The sentiment component processes multiple parallel vectors of market data. It continually assesses momentum differentials, volatility compression and expansion, volume participation intensity, and relative positioning. These vectors are mathematically normalized and aggregated into a singular composite score ranging from zero to one hundred. This raw composite is then passed through a dynamic smoothing algorithm to filter out erratic tick-level noise, resulting in a stable primary sentiment value. A secondary signal line is derived from this primary value to calculate momentum convergence and divergence, effectively anticipating shifts in behavioral trends before they fully materialize. • The Structural Engine Operating concurrently, the structural engine performs rigorous swing analysis. It continuously scans historical price action to identify confirmed pivot highs and pivot lows based on user-defined parameters. When price action eclipses these pivotal nodes, the engine mathematically categorizes the event as either a continuation of structure or a fundamental shift in character. Upon confirmation of these structural shifts, the engine projects dynamic support and resistance zones, tracking their mitigation status in real-time to visualize areas of untested liquidity. 🎨 Visual Guide The visual presentation is meticulously designed to present complex data hierarchies without obscuring price action. • The Oscillator Pane The primary sentiment line oscillates between 0 and 100, plotted prominently to reflect current market psychology. A secondary, semi-transparent signal line tracks the primary sentiment, providing a visual cue for momentum crossovers. Horizontal reference levels establish the baseline neutral zone (50), as well as the thresholds for extreme greed and extreme fear. The background of the oscillator pane dynamically illuminates with deeply saturated hues when the sentiment breaches the outermost extremes, providing immediate visual notification of exhaustion. • Chart Elements and Overlays Price candles feature dynamic color gradients that transition from deep red to vibrant green, providing a bar-by-bar heatmap of the underlying sentiment. Dashed horizontal lines project across the chart to mark significant structural breaks, accompanied by precise text labels denoting the nature of the break. Translucent rectangular zones are drawn at the origin points of structural breaks, visually representing active areas of interest. The color coding of these zones shifts to a muted, darker shade once price successfully retests and mitigates the area, allowing the user to distinguish between fresh and exhausted liquidity. • The Analytics Dashboard A highly structured table anchors to the chart, displaying real-time metrics: FGI Value : The exact numerical sentiment score paired with a visual magnitude bar. Signal Value : The smoothed momentum score. Momentum Gap : Calculates the absolute distance between the sentiment and signal lines, indicating whether the psychological momentum is expanding or narrowing. Bias Regime : Classifies the broader environment as rising or extreme within the context of fear or greed. Zone Status : Explicitly warns when the market enters extreme threshold boundaries. Zero Cross Age : A bar-counting mechanism that tracks the duration since the sentiment last crossed the neutral baseline. Market Structure : Displays the current prevailing structural trend confirmed by the SMC engine. 📖 How to Use This tool is designed to foster a systematic approach to market analysis, utilizing confluence to filter high-probability environments. Identify Behavioral Exhaustion : Monitor the sentiment oscillator and the analytics dashboard. When the market enters the extreme greed or extreme fear background zones, recognize that the prevailing trend is highly saturated and susceptible to mean reversion. Wait for Structural Confirmation : Do not act solely on sentiment extremes. Wait for the structural engine to print a confirmed shift in character on the chart. Assess the Momentum Gap : Consult the dashboard to ensure the momentum gap is expanding in the direction of the new structural shift, validating that market psychology supports the technical breakout. Define Invalidation : Utilize the freshly generated, unmitigated order block zones as logical areas to define risk parameters and structural invalidation points. ⚙️ Inputs and Settings The indicator provides extensive configurability to adapt to various market environments. • Sentiment Parameters FGI Period : Dictates the lookback window for the core sentiment vectors. Shorter lengths increase sensitivity, while longer lengths identify macro psychological shifts. Signal Line Period : Adjusts the smoothing factor for the secondary momentum tracker. Overbought/Oversold Levels : Allows the user to define the exact numerical thresholds that trigger the extreme background zones and alerts. • Visual and Dashboard Configurations Color Price Candles : Toggles the sentiment-based gradient coloring on the main chart candles. Dashboard Settings : Provides options to customize the background and text colors of the analytics panel for optimal visibility. • Structural Settings Swing Length : Determines the number of bars required to confirm a valid structural pivot point. Enable SMC Overlay : A master toggle for the structural lines and zone boxes. Track/Hide Mitigation : Configures how the indicator handles zones once they have been retested by price, offering the option to either recolor them or remove them entirely to keep the chart clean. • Alert Conditions FGI crosses Zero : Generates a notification when sentiment flips across the neutral 50 baseline. OB/OS Level Breach : Triggers a warning precisely when the market enters the predefined extreme psychological zones. 🔍 Deconstruction of the Underlying Scientific and Academic Framework The theoretical foundation of this indicator is deeply rooted in the principles of behavioral finance and auction market theory. Traditional quantitative finance assumes rational actors operating in an efficient market; however, empirical evidence demonstrates that markets are frequently driven by cognitive biases, leading to periods of irrational exuberance (greed) and unwarranted panic (fear). The sentiment engine models this behavioral distribution by capturing standard deviations in volatility and momentum, mapping the data onto a normalized sigmoid-like curve. This quantifies the exact degree of psychological saturation. When a market reaches the tail ends of this distribution, the probability of mean reversion increases exponentially due to the exhaustion of marginal buyers or sellers. Simultaneously, the structural engine maps these psychological states onto the physical mechanics of order flow. Breakouts and structural shifts that occur during neutral sentiment phases are often the result of standard liquidity provision and algorithmic execution. However, structural breaks that trigger concurrently with extreme sentiment readings mathematically validate a macro shift in participant behavior. By tracking the origin points of these shifts (order blocks), the indicator highlights the exact price vectors where institutional and large-scale participants initiated the phase transition, offering a rigorous, data-driven framework for anticipating future supply and demand imbalances. ⚠️ 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. I 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.
Pine Script® 인디케이터
MarkitTick의
1
Twiggs Liquidity & Order Block Engine [MarkitTick]💡 Hybrid technical indicator designed to synthesize volume-weighted momentum with structural price action analysis. By harmonizing a modernized Twiggs Money Flow (TMF) algorithm with an automated Smart Money Concepts (SMC) overlay, this script provides a multi-dimensional perspective on market dynamics. Traders can monitor underlying accumulation and distribution cycles while simultaneously visualizing critical market structure shifts and historically significant supply and demand zones, offering a comprehensive, all-in-one chart analysis environment. ✨ Originality and Utility ● A Unique Analytical Mashup Most technical analysis tools isolate either volume momentum or price action structure. This script introduces a vital mashup by blending the quantitative rigor of the Twiggs Money Flow with the visual geometry of Smart Money Concepts (SMC). The utility lies in cross-verification: an Order Block (structural support/resistance) becomes exponentially more actionable when validated by a corresponding surge or exhaustion in the TMF volume oscillator. This synthesis actively filters out false breakouts. A break of structure occurring on weak or divergent money flow can be flagged as a potential liquidity sweep rather than a genuine trend continuation. Additionally, the integration of a dynamic, real-time dashboard centralizes complex data, removing the need to manually cross-reference multiple traditional indicators, thereby saving screen space and enhancing cognitive focus during active chart analysis. 🔬 Methodology and Concepts ● The Twiggs Money Flow (TMF) Engine The oscillator component of this script is rooted in the Twiggs Money Flow, which serves as an evolution of traditional money flow calculations. True Range Implementation: Rather than relying strictly on the high and low of the current candle, the engine calculates the True High (maximum of current high or previous close) and True Low (minimum of current low or previous close). This inherently factors in market gaps, preventing skewed volume data during highly volatile opens. Volume Multiplier: A proprietary multiplier determines the placement of the close relative to the True Range. The multiplier forces a value between -1.0 and +1.0, dictating the proportion of trading volume classified as buying pressure (accumulation) versus selling pressure (distribution). Exponential Smoothing: The raw money flow volume and the raw price volume are independently smoothed using an exponential moving average (EMA) system. The final TMF value is derived by dividing the smoothed money flow volume by the smoothed absolute volume. Signal Line Construction: A secondary exponential moving average is applied directly to the finalized TMF output, creating a responsive signal line to identify momentum crossovers and track the expansion or contraction of volume momentum. ● Smart Money Concepts (SMC) Architecture The structural overlay maps the fractal nature of market trends using strict geometric logic. Swing Detection: The script scans historical data across a user-defined lookback period to pinpoint distinct Swing Highs and Swing Lows, creating the foundation of the market structure. BOS and CHoCH Logic: When the closing price breaches an active Swing High or Swing Low, the engine dynamically labels the event as a Break of Structure (BOS) if it aligns with the prevailing trend, or a Change of Character (CHoCH) if it signifies a potential trend reversal. Order Block Generation: Upon a confirmed structural break, the engine projects Order Blocks based on the origin of the impulse move. The depth and visual boundary of these blocks are calibrated using a localized Average True Range (ATR) calculation. Mitigation Tracking: The script features a state-tracking algorithm that monitors price interaction with active Order Blocks. Once price re-enters and "mitigates" a block, the zone is visually dimmed or entirely hidden, keeping the chart completely focused on unmitigated liquidity zones. 🎨 Visual Guide ● Oscillator Pane Elements TMF Histogram & Line: The primary TMF value is plotted as both a solid line and a supporting histogram. Values above the zero line utilize a Neon Violet color to indicate bullish money flow, while values below the zero line shift to a Neon Orange/Red to denote bearish flow. Signal Line: Displayed as a dotted Gold/Yellow line tracking alongside the TMF. Overbought/Oversold Zones: Dashed horizontal thresholds exist at user-defined overbought (+0.20) and oversold (-0.20) levels. When the TMF breaches these extremes, the background of the oscillator pane fills with a semi-transparent red or green glow. Alert Shapes: Small geometric shapes (triangles and circles) populate the oscillator pane to mark exact moments where the TMF crosses the zero line or breaches the outer extreme zones. ● Price Chart Overlay Candle Coloring: If enabled, standard price candles are re-colored based on the relationship between the TMF and its Signal Line. Bright Violet implies expanding bullish momentum, while dimmed Violet indicates narrowing bullish momentum. Conversely, Bright Orange implies expanding bearish momentum, with dimmed Orange signifying fading bearish pressure. Structure Labels: Dashed lines paired with small text labels (BOS / CHoCH) appear precisely where structural breaks are confirmed. Order Blocks: Solid rectangular boxes project forward in time. Unmitigated bullish blocks are filled with semi-transparent Violet, while unmitigated bearish blocks are filled with semi-transparent Orange. Once price touches these zones, they transition to a muted Slate/Grey color to signify mitigation. ● Real-Time Dashboard Positioned in the top-right corner, this dark-themed data table provides a high-level summary of the current market state. It displays the numeric TMF and Signal values accompanied by 10-segment visual power bars. It also explicitly spells out the current Momentum Gap status, Overbought/Oversold Regime, Zero Cross Age (in bars), and the overarching Market Structure trend. 📖 How to Use ● Analyzing Momentum Crossovers Primary trend confirmation is achieved by observing the TMF relative to the Zero Line. A sustained period above zero indicates healthy accumulation, whereas resting below zero signifies persistent distribution. Short-term entry triggers can be identified by the TMF crossing its dotted Gold Signal Line. An upward cross while below zero can signal an early mean-reversion opportunity, whereas an upward cross above zero confirms strong trend continuation. ● Exploiting the Mashup Confluence The most robust trading setups occur when both the oscillator and the price action overlay align perfectly. Bullish Setup: Wait for the SMC engine to print a bullish Change of Character (CHoCH) followed by the generation of a fresh, Violet Order Block. As price retraces downward into this Order Block, look at the oscillator. If the TMF is rising, crossing its Signal Line, or rejecting the oversold threshold, the probability of a successful bounce increases significantly. Bearish Setup: Observe price rallying into a pre-existing Orange bearish Order Block. If the dashboard simultaneously indicates that the TMF is in an "Overbought Regime" and the histogram begins crossing downward below the Signal Line, this provides confluence for a potential short entry or long exit. ⚙️ Inputs and Settings ● Calculation Parameters TMF Period: Determines the lookback length for the underlying money flow moving averages. Increasing this smooths the oscillator but introduces lag. Signal Line Period: Adjusts the sensitivity of the dotted signal line tracking the TMF. Overbought/Oversold Levels: Custom thresholds for extreme zones (default +/- 0.20), allowing traders to adapt the script to highly volatile or highly ranging assets. ● Neon Colors Total control over the aesthetic theme, including individual hex color overrides for Bullish/Rising states, Bearish/Falling states, Histogram fills, and Candle coloring. ● SMC & Market Structure Enable SMC Overlay: A master toggle to display or hide structural lines and Order Blocks. Swing Length: Dictates the strictness of pivot high/low detection. A lower number reacts to micro-trends, while a higher number identifies macro-structural shifts. Track / Hide Mitigated OBs: Toggles the visual state of Order Blocks after price interacts with them. Users can choose to leave them on the chart as dimmed boxes or delete them entirely for maximum chart cleanliness. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Volumetric Price Analysis Theory The framework of this indicator is deeply anchored in auction market theory and the foundational work of Marc Chaikin, subsequently refined by Colin Twiggs. Traditional money flow indices often fail to capture the reality of market gaps, leading to incomplete volumetric profiles. By integrating the True Range calculation, the mathematics ensure that the proportional distance between the close and the absolute extreme of the session accurately reflects the terminal buying or selling pressure. ● Exponential Smoothing Mechanics The internal architecture relies on parallel exponential moving averages (EMA). Unlike simple averages, the EMA assigns mathematically weighted significance to the most recent data points via an alpha constant (1/N). By smoothing the price-volume product and the raw volume independently before division, the indicator mitigates the erratic noise inherent in isolated volume spikes, producing a normalized quotient that tracks the authentic underlying liquidity flow. ● Fractal Market Structure & Geometric Support The secondary framework relies on the premise that financial markets move in fractals, creating self-similar structures across all timeframes. By programmatically defining a "Swing" as a local extremum untouched over a specified sample size, the script mathematically formalizes the identification of supply and demand origin points. The dynamic projection of Order Blocks utilizes the Average True Range (ATR) as a standard deviation metric, recognizing that liquidity zones are not precise, one-dimensional price points, but rather two-dimensional areas defined by the asset's current historical volatility. ⚠️ 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. I 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.
Pine Script® 인디케이터
MarkitTick의
Institutional Momentum & Liquidity Matrix Institutional Momentum & Liquidity Matrix ■Overview This tool is a quantitative analysis suite designed to bridge the gap between price momentum and market liquidity structure. Moving away from the traditional approach of monitoring "where the RSI is currently," it calculates the exact price required for the RSI to reach overbought/oversold levels on the next candle and visualizes it directly on the chart. This projection is overlaid with an RSI-Anomaly Volume Profile to highlight true structural exhaustion. ■1. Originality and Design Philosophy While RSI and Volume Profile are widely used, they are typically viewed in isolation, leading to false signals. This script is original because it mathematically merges them: 1. It projects the theoretical elastic limits of momentum directly onto the price scale using algebraic reversal of Wilder's Smoothing. // Algebraic Reversal of Wilder's Smoothing (RMA) f_get_reverse_price(target_rsi) => float target_rs = target_rsi / (100.0 - target_rsi) float req_up = (target_rs * prev_rma_d * (rsi_len - 1)) - (prev_rma_u * (rsi_len - 1)) float req_down = (prev_rma_u * (rsi_len - 1) / target_rs) - (prev_rma_d * (rsi_len - 1)) float rev_price = req_up > 0 ? prev_c + req_up : (req_down > 0 ? prev_c - req_down : prev_c) rev_price 2. It filters a Lower Timeframe (LTF) Volume Profile using LTF RSI data, discarding neutral volume and coloring only the specific price nodes where momentum reached extreme anomalies. // RSI Anomaly Matrix & Peak Retention Logic bool is_significant = (intensity * 100.0) >= vol_threshold color base_c = color_prof_neutral if is_significant if rsi_color_mode == "Peak Retention" if max_rsi >= rsi_ob and min_rsi <= rsi_os base_c := (max_rsi - 50.0) > (50.0 - min_rsi) ? color_ob : color_os else if max_rsi >= rsi_ob base_c := color_ob else if min_rsi <= rsi_os base_c := color_os ■2. Core Mechanism 1: Reverse RSI Projection (The Math) Instead of tracking an oscillator bounded between 0 and 100, this script mathematically reverses J. Welles Wilder Jr.'s Smoothed Moving Average (RMA) formula. To calculate the exact closing price required on the next bar to achieve a specific Target RSI (e.g., 70 or 30), the script uses the following logic: RS = Target_RSI / (100 - Target_RSI) Required_Up = (RS * Prev_RMA_D * (Length - 1)) - (Prev_RMA_U * (Length - 1)) Required_Down = (Prev_RMA_U * (Length - 1) / RS) - (Prev_RMA_D * (Length - 1)) It plots these calculated prices as horizontal projection lines, allowing traders to evaluate momentum limits directly on the price action. ■3. Core Mechanism 2: RSI Anomaly Liquidity Matrix Momentum limits require structural backing to be reliable. This engine aggregates LTF data to generate a filtered Volume Profile. ・Dynamic Sessions: Generates profiles based on Daily, Weekly, Monthly, or Custom Market Sessions (Defaults are set to UTC for Oceania, Asia, London, and NY). ・RSI Anomaly Coloring: Instead of plotting standard volume, the script calculates the average LTF RSI for each price node. It only applies color to nodes where the average momentum reached extreme Overbought or Oversold levels, keeping the rest of the profile neutral. This eliminates visual noise and isolates true areas of structural exhaustion. ・Point of Control (POC): Automatically extracts and highlights the price level with the highest liquidity concentration. ■4. Configuration & Parameters ・Profile Generation Mode: Determines time boundaries. Day traders can use Custom Sessions (UTC), while swing traders benefit from Daily/Weekly structures. ・Liquidity Data Source: While 'Volume' is the standard input, 'Price Delta' is provided as a proxy to ensure the profile functions on assets lacking raw volume data (e.g., certain Forex feeds). ・Max LTF Samples per Bar: Limits how many LTF candles are processed per higher timeframe candle to optimize performance and prevent calculation limits. ・RSI Coloring Mode: Controls sensitivity. "Volume-Weighted Average" is mathematically strict but colors may neutralize over time. "Peak Retention" ensures that if a price node hits an RSI extreme at any point during the session, it permanently retains that warning color, preventing dilution. ・Significance Threshold & Hide Weak Nodes: Filters out price nodes that lack sufficient volume (e.g., under 30% of the POC volume). Graying out or hiding low-volume nodes removes noise. ・POC Proximity Filter: Fades the RSI projection lines if no historical POC is nearby, utilizing ATR to define a dynamic "safe zone." Momentum extremes without structural support are prone to false breakouts. ■5. Usage & Mindset ・Best Suited For: High-liquidity instruments (Major Forex, Indices, Large-cap Crypto) on 15M to 1H charts. ・Execution: Do not enter blindly when price hits the RSI projection line. Wait for confluence: "Is this momentum extreme backed by a colored, structural POC wall?" Use the confluence zone to define strict Stop Loss levels. ■Disclaimer This script is a quantitative analysis tool designed for educational purposes to visualize mathematical momentum and liquidity data. It does not guarantee future profits and is not intended as a signal service. Always employ strict risk management and conduct comprehensive market analysis. Institutional Momentum & Liquidity Matrix 概要 本ツールは、価格モメンタムと市場流動性の構造的差異を統合的に分析するための定量分析スイートです。「RSIの現在値」に依存するアプローチから脱却し、「特定のRSI水準に到達するために必要な要請価格」を逆算してチャート上に直接可視化します。さらに、RSI異常値を反映した流動性マトリックスを展開し、構造的な枯渇点を浮き彫りにします。 1. 独創性と設計思想 RSIと出来高プロファイルは広く普及していますが、単体での使用はダマシを誘発します。本スクリプトはこれらを数学的に統合した点に独創性があります。 1. Wilderの平滑化移動平均（RMA）を代数的に逆算し、モメンタムの限界値を価格スケール上に直接投影します。 2. 下位足（LTF）の出来高プロファイルをLTFのRSIデータでフィルタリングし、極端な異常値（過熱感）を記録した価格帯のみを色付けして視覚化します。 2. コア・メカニズム1: 逆算RSIプロジェクション（計算根拠） オシレーターを監視するのではなく、RMAの計算式を逆算します。次期のローソク足で指定のRSI極値（例: 70または30）に到達するための終値を、以下のロジックで算出します。 RS = 目標RSI / (100 - 目標RSI) 必要な上昇幅 = (RS * 前回のRMA下落幅 * (期間 - 1)) - (前回のRMA上昇幅 * (期間 - 1)) 必要な下落幅 = (前回のRMA上昇幅 * (期間 - 1) / RS) - (前回のRMA下落幅 * (期間 - 1)) 算出された価格を水平線として描画し、価格アクション上でモメンタムの限界を評価可能にします。 3. コア・メカニズム2: RSI異常値・流動性マトリックス LTFデータを集計し、高度なフィルターを備えた価格帯別出来高を生成します。 ・動的セッション: 日次、週次、月次、または特定の市場セッションに対応（※セッション時間はすべてUTC基準です）。 ・RSI異常値カラーリング: 各価格帯の平均LTF RSIを算出し、買われすぎ/売られすぎの極限領域に達した価格帯のみを色付けします。通常の価格帯をニュートラルカラーに保つことで視覚的ノイズを排除します。 ・Point of Control (POC): 最大流動性が集中する価格帯を自動抽出し、強力なレジサポとしてハイライトします。 4. パラメーター設定 ・Generation Mode (生成モード): デイトレーダーには特定の市場セッションが、スイングトレーダーには日次・週次の構造が適しています。 ・Liquidity Data Source (流動性データ): 「出来高」を基本としますが、出来高データがない銘柄（一部のFX等）でも機能するよう、「価格変動幅（Price Delta）」を選択可能です。 ・Max LTF Samples per Bar (最大LTF参照数): 上位足1本に対して参照する下位足の本数を制限し、計算処理を最適化します。 ・RSI Coloring Mode (カラーリング感度・保持): プロファイルの色付け基準を選択します。「出来高加重平均 (Volume-Weighted)」は厳格ですが、その後の通常取引によって色が中和される性質があります。「ピーク保持 (Peak Retention)」を選択すると、セッション中に一度でもRSI異常値を記録した価格帯は、その極値カラーを履歴として保持し続けます（高感度モード）。 ・Significance Threshold (有意性閾値): POCに対して一定割合に満たない価格帯をグレーアウトまたは非表示にし、真の壁のみを残します。 ・POC Proximity Filter (近接フィルター): 過去のPOCが近くにない場合、プロジェクションラインをフェードアウトさせます。構造的な支持を持たない極値はダマシになりやすいため、ATRを利用したリスク管理レイヤーとして機能します。 5. 使い方と環境 ・得意な環境: 流動性の高いメジャー通貨ペア、主要株価指数、大型暗号資産の15分足〜1時間足。 ・思考プロセス: 価格がRSIプロジェクションに到達したからといって盲目的にエントリーせず、「その極値の背後に、色付けされたPOCの壁が存在するか」を確認してください。コンフルエンス領域を基準に、厳格な損切りを設定してください。 免責事項 本スクリプトは、数学的モメンタムおよび流動性データを可視化し、市場構造の理解を深めるための教育用ツールです。将来の利益を保証するものではなく、シグナル配信ツールではありません。常に適切なリスク管理と独自の市場分析を行ってください。
Pine Script® 인디케이터
ALT_analyst의
SMC Liquidity Sweep & Fibonacci Extension [MarkitTick]💡 A highly advanced, multi-faceted chart overlay engineered to synchronize market structure analysis, dynamic liquidity tracking, and harmonic Fibonacci projections. By continuously parsing raw price action through a confluence-based scoring system, this indicator provides technical analysts with a unified framework for identifying localized structural shifts, mapping premium and discount pricing zones, and projecting precise forward targets using automated ABC ZigZag structures. It functions as a complete technical environment designed to remove the need for multiple disparate chart overlays. ✨ Originality and Utility Standard indicators often focus on a single mathematical concept, leaving the analyst to manually stitch together multiple tools to form a cohesive thesis. This script completely breaks that mold by merging a rigorous market structure shift (MSS) engine with an adaptive, volatility-adjusted Fibonacci structure mapper. It introduces a highly original dynamic confluence scoring system that grades current setups in real-time based on higher timeframe (HTF) alignment, session timing, and liquidity events. The inclusion of ATR-adaptive stop losses, order block mitigation tracking, and full webhook alert integration makes it an exceptionally utilitarian system for both discretionary chart analysis and automated alert routing. Rather than cluttering the screen with infinite historical data, the indicator utilizes a smart-pruning engine that actively hides or greys out mitigated order blocks, filled gaps, and invalidated Fibonacci setups. 🔬 Methodology and Concepts ● Market Structure & Liquidity Engine The script utilizes a localized loop lookback to identify significant pivot highs and lows, forming the absolute mathematical foundation of its trend analysis. A liquidity sweep is mathematically confirmed when price pierces a previous structural pivot's extreme but fails to maintain momentum, thus confirming a reversal of localized volume. Changes of Character (CHoCH) and Breaks of Structure (BOS) are dynamically generated and labeled when price confidently closes beyond confirmed pivot boundaries, establishing a directional bias. ● Fair Value Gaps (FVG) & Order Blocks Fair Value Gaps are detected by comparing the extreme of the first candle to the extreme of the third candle in a three-bar sequence. If they do not overlap, a pure price imbalance zone is mathematically plotted. Order Blocks are automatically mapped around the exact origin of a structural break, utilizing an Average True Range (ATR) offset to define the true boundary of the support or resistance zone. The engine continuously tracks forward price interaction with these zones, automatically removing them from the visual field once mitigated by future price action to maintain chart clarity. ● Automated Fibonacci & ABC Structures An internal ZigZag algorithm utilizes ATR to filter out baseline market noise, mapping only statistically significant price swings. Once a valid three-point ABC structure is confirmed (where point C retraces but does not invalidate point A), the script automatically calculates forward projections. Target extensions are generated using either linear geometric scaling or logarithmic interpolation, providing dynamic profit objectives that adapt to the underlying asset's volatility. 🎨 Visual Guide ● On-Chart Elements Dashed Lines: Represent significant market structure breaks. Cyan dashed lines indicate a bullish structural shift, while magenta dashed lines indicate a bearish shift. Text Labels: "CHoCH" or "BOS" text marks structural confirmations directly on the break line. Small yellow "IDM" labels highlight captured inducement levels within the trend. Shaded Boxes: Cyan and magenta background boxes denote active Bullish and Bearish Fair Value Gaps. Mitigated order blocks turn deep grey if the user chooses not to hide them entirely. Session Kill Zones: Golden transparent boxes highlight the London session volatility, bright green identifies the New York open, and deep orange maps the Asian range consolidation. Fibonacci Projections: Dotted and solid lines extend dynamically to the right from valid ABC structures, detailing exact price targets and their associated harmonic or Elliott Wave ratios. ● Comprehensive Confluence Dashboard Located firmly at the top right of the chart window, this panel continuously updates with the current state of the market environment. It displays the active trend direction, an aggregate Confluence Score out of 5 (color-coded from a neutral grey to a highly confident vibrant green), and the Higher Timeframe Bias. Additionally, it provides immediate readouts on the current Premium/Discount pricing equilibrium, the active global trading session, liquidity sweep states, and real-time ATR values. 📖 How to Use ● Trade Qualification and Scoring Monitor the Confluence Dashboard diligently. A score of 4 or 5 strongly indicates a high-probability alignment across multiple, independent market factors. Wait for a confirmed liquidity sweep on the chart, followed immediately by a structural break (CHoCH or BOS) that aligns in the direction of the Higher Timeframe (HTF) trend bias. ● Entry Execution and Targeting Utilize the automatically plotted Order Blocks and Premium/Discount zone quartiles to refine entry locations. Ideal long entries statistically occur within the discount quartile of the defined range. Set realistic profit targets using the automated Fibonacci extensions. The 1.618 level (often labeled as Wave 3) serves as a primary extended objective for momentum-based moves. Risk management should be tied directly to the ATR-adaptive stop-loss values calculated internally by the script, ensuring your stops are placed outside the immediate noise floor of the asset. ⚙️ Inputs and Settings ● Market Structure Configuration Swing Length: Adjusts the raw sensitivity of pivot detection. Higher numeric values create a macro structural view; lower values capture micro intraday structures. Risk/Reward Ratio: Modifies the theoretical profit targets generated specifically for the internal webhook alert payload system. ● Filters and Environmental Zones HTF Timeframe: Allows the selection of the specific resolution for the background trend bias filter (e.g., 240 for a 4-hour bias on a 15-minute chart). Premium / Discount Zone: Toggles the background display of mathematical range quartiles (Premium, Equilibrium, Discount). Session Kill Zones: Activates time-based highlighting for major global trading hours, strictly aligned to UTC. ● Fibonacci Parameters Use Logarithmic Scale: Switches all forward projection math to logarithmic scaling, an essential setting for high-volatility assets or deep historical charts. Structure Invalidation: Deletes or greys out active ABC structures the moment current price completely breaks below the origin point (Point A). ● Webhook Action Routing Open Long / Short Actions: Allows the user to define exact, customized JSON payload strings to route automated signals seamlessly to third-party execution platforms. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Pivot Extrema and Range Equilibrium Theory The identification of market structure inherently relies on local extrema calculation. A given point is mathematically considered a pivot high if its peak value is strictly greater than all adjacent values within a defined window. By mapping these rolling extrema over continuous time series data, the script establishes an active topological trading range. This range is subsequently divided into exact quartiles to define Premium and Discount pricing equilibriums, rooted in mean-reversion statistical theories. ● Volatility-Adjusted Noise Filtration The internal ZigZag algorithm utilizes the Average True Range (ATR) to establish a dynamic, mathematically sound noise floor. ATR evaluates the moving average of absolute price differentials over time, capturing true gap volatility. A structural swing is only validated by the algorithm if the absolute price differential exceeds a defined, user-adjustable multiple of the ATR, ensuring mathematical robustness against ranging, low-volatility environments that cause false signals in standard pivot models. ● Harmonic Projection Mechanics Forward Fibonacci extensions are calculated using either a standard linear geometric model or a complex logarithmic scale. In linear application, a forward target for a given expansion ratio is derived directly from an ABC configuration by extrapolating the absolute distance of the primary impulse leg. When logarithmic scaling is applied, the mathematical relationship transforms to exponentiate the natural log of the price coordinates. This aligns the future projections with percentage-based compounding growth models, effectively addressing price scale distortions inherently found in exponential secular trends. ⚠️ 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. I 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.
Pine Script® 인디케이터
MarkitTick의
SwingRegress Volatility Analytics [MarkitTick]💡 A comprehensive, multi-dimensional charting tool designed to fuse structural market analysis, statistically derived linear regression pathways, and volatility compression mechanics into a single, cohesive interface. By dynamically adapting its calculations to the latest shifts in market structure—specifically Change of Character (CHoCH) events—this script offers an adaptive mapping of price action, trend trajectory, and potential breakout zones directly on the primary chart. ● ✨ Originality and Utility Traditional linear regression tools often require manual anchoring or rely on fixed lookback periods that fail to adapt to rapidly unfolding price dynamics. The distinct utility of this script lies in its self-adjusting structural anchoring mechanism. By automatically locking the regression baseline to the most recent significant pivot high or pivot low immediately following a structural break, the channel remains mathematically and contextually relevant to the current market regime. Furthermore, this tool eliminates the need for separate sub-chart oscillators by integrating a sophisticated Smart Volatility Squeeze engine. This engine compares price variance against true range to identify periods of extreme price compression, overlaying these signals directly within the active regression pathway. The result is a unified, chart-centric view of both directional trend geometry and kinetic energy build-up, allowing for a more focused and uncluttered analytical process. ● 🔬 Methodology and Concepts The underlying logic of this script is driven by three core mathematical engines operating in tandem: • Pivot Discovery and Market Structure The script continuously scans incoming price data to identify localized extremes, defined as Pivot Highs and Pivot Lows. A candidate bar is confirmed as a pivot only if it remains unbroken for a user-defined number of bars both prior to and following its occurrence. Once confirmed, these pivots establish the market structure. If the closing price breaks beyond the most recent opposing pivot, a Change of Character (CHoCH) is triggered, officially shifting the trend state. • Anchored Linear Regression Upon the confirmation of a new CHoCH, the script calculates a fresh Linear Regression Channel (LRC). The anchoring point is the origin pivot of the newly established trend. The script uses the Ordinary Least Squares (OLS) method to compute the slope and intercept of the best-fit line through the closing prices of the current regime. It then calculates the standard error of the estimate (standard deviation of the residuals) to project upper and lower variance bands parallel to the mid-line. • Volatility Squeeze Mechanics To identify volatility compression, the script employs a comparative analysis between standard deviation and Average True Range (ATR). It calculates a Bollinger Band (representing standard deviation) and a Keltner Channel (representing ATR) around a moving average baseline. A "squeeze" is structurally confirmed when the outer limits of the Bollinger Bands contract entirely within the boundaries of the Keltner Channels. This signifies that historical variance has dropped substantially below the average true range, often preceding a dynamic expansion in price movement. ● 🎨 Visual Guide The visual interface is highly detailed and structurally color-coded to provide immediate contextual awareness without cluttering the chart. • Current Anchored LRC Mid Line: A solid Neon Cyan line representing the true mean of the current trend regime. Band 1: A dashed Soft Cyan line mapping the first standard deviation threshold. Band 2: A dotted Deep Azure line mapping the secondary, outer standard deviation extreme. • Previous Anchored LRC Mid Line: A solid Magenta line representing the historical mean of the preceding trend. Band 1: A dashed Soft Magenta line for the historical inner variance. Band 2: A dotted Blue-Violet line for the historical outer variance. • Swing Point Zones Swing High Boxes: Translucent red zones originating from a confirmed pivot high, drawing forward to act as dynamic resistance until broken by price action. Swing Low Boxes: Translucent green zones originating from a confirmed pivot low, acting as dynamic support until structurally invalidated. • Volatility Squeeze Candles Cyber Gold Candles: When the market enters a state of extreme volatility compression (Bollinger Bands inside Keltner Channels) and is actively trading within the current or previous LRC pathway, the candles are painted a vibrant gold to highlight imminent kinetic release. • Heads-Up Dashboard Display Located in the top right corner, this self-updating data matrix provides critical real-time telemetry: Structure Regime: Displays the active directional bias (Bullish, Bearish, or Neutral). Last CHoCH: Indicates the direction and age (in bars) of the most recent structural shift. Squeeze Intensity: A visual block-bar measuring the depth of the volatility compression. ATR (14): The current absolute value of the Average True Range. Dist to Swings: The percentage distance between the current price and the nearest Swing High/Low. Risk/Reward Quality: A dynamic measurement of potential risk versus structural reward. LRC Window Age: The duration of the current regression channel in bars. LRC Position: Indicates whether price is currently trading inside the active regression channel, the previous channel, or is entirely unanchored. ● 📖 How to Use The primary application of this tool is identifying high-probability continuation or mean-reversion setups following structural confirmation. When a CHoCH event occurs, wait for the new Linear Regression Channel to populate. This channel defines your trading parameters. A high-probability setup manifests when price pulls back to the inner or mid-line of the active LRC, accompanied by the appearance of Cyber Gold squeeze candles. This visual confluence suggests that price is compressing directly at the statistical mean of the new trend, building energy for a move in the direction of the underlying structural regime. Conversely, if price approaches the outer standard deviation bands (Deep Azure) without structural confirmation of a breakout, it suggests the market is statistically overextended, offering a potential mean-reversion opportunity back toward the Neon Cyan mid-line. Note on Mechanics: Because the pivot discovery process requires a defined number of bars to confirm a swing high or low, there is an inherent lookback period. The swing zones will only appear after the pivot has been structurally verified. Furthermore, the linear regression channel recalculates its slope dynamically as new price data is added to the active regime, meaning the exact angle of the channel adapts in real-time until a new CHoCH locks it into history as the "Previous LRC." ● ⚙️ Inputs and Settings The configuration panel is logically divided into primary analytical modules to allow for precise user calibration. • Current Anchored CHoCH LRC Adjust the sensitivity of the pivot discovery engine by modifying the Left and Right Pivot Bars. You can also customize the multipliers for the primary and secondary standard deviation bands, as well as toggle their visibility and modify line weights. • Previous Anchored CHoCH LRC Allows for the toggling of the historical channel, providing context on how the previous trend failed. Color and visibility settings are fully adjustable here. • Swing Points & Zones Settings Toggle the structural resistance and support boxes on or off, and customize their respective color opacities for a cleaner chart overlay. • Smart Volatility Squeeze (BB vs KC) Tune the underlying volatility engine. You can adjust the lookback length for the variance baseline, as well as the specific deviation multipliers for both the Bollinger Band boundaries and the Keltner Channel limits. • Webhook Execution Configuration Input exact JSON payload action names for algorithmic execution routing (Long, Short, Close Long, Close Short). • Dashboard Settings Customize the background and text colors of the heads-up data matrix to match your specific chart theme. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The mathematical foundation of this script is anchored heavily in econometrics and statistical probability theory. At its core, the linear regression calculation utilizes the Ordinary Least Squares (OLS) estimator. This formula determines the line of best fit through a sequence of time-series data points by minimizing the sum of the squared differences (residuals) between the observed closing prices and the values predicted by the linear model. The slope of this line represents the average rate of change per unit of time, mathematically quantifying the drift of the active regime. The parallel bands wrapping the regression line are derived by calculating the standard error of the estimate. Assuming the residuals are normally distributed (Gaussian distribution), one standard deviation captures approximately 68 percent of the price variance, while two standard deviations capture roughly 95 percent. When price moves beyond these outer bands, it represents a statistically significant deviation from the mean, inherently increasing the probabilistic likelihood of mean reversion. The volatility squeeze mechanic operates on the principle of variance compression. Bollinger Bands are a derivative of standard deviation, making them highly reactive to short-term variance. Keltner Channels utilize the Average True Range (ATR), which measures absolute periodic volatility independent of a central mean. When the standard deviation of price contracts to such a degree that the Bollinger Bands fall entirely within the ATR-based Keltner Channels, it statistically confirms a state of anomalous energy compression. In financial academia, periods of artificially suppressed variance are overwhelmingly followed by periods of geometric expansion, providing the theoretical basis for breakout execution. ⚠️ 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. I 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.
Pine Script® 인디케이터
MarkitTick의
2
HTF Liquidity + Swept + FVG / IFVG - FixedAAAHTF Liquidity + Swept + FVG / IFVG is a multi-timeframe liquidity tool designed for traders who use Smart Money Concepts and ICT-style analysis. The script plots previous Daily, 4H and 1H highs and lows as potential liquidity levels. When price sweeps one of these levels, the script marks it as swept and can trigger separate alerts for Daily, 4H and 1H liquidity sweeps. It also detects bullish and bearish Fair Value Gaps, marks inverted FVGs, and includes a daily range midline. The goal is to help identify areas where liquidity has been taken and where price may react after displacement or imbalance. Main features: - Daily, 4H and 1H high/low liquidity levels - Swept liquidity marking - Separate alerts for Daily, 4H and 1H sweeps - Bullish and bearish FVG detection - IFVG detection - Daily range midline - Customizable colors, labels and level limits This indicator is intended as an analysis aid only and should be used together with your own trading plan, market structure analysis and risk management.
Pine Script® 인디케이터
Petyo0125의
Mitigation Velocity Order Block Ranker [PhenLabs]📊 Mitigation Velocity Order Block Ranker Version: PineScript™ v6 📌 Description Most order block tools dump every candle that qualifies onto your chart and leave you to guess which ones actually matter. That works fine in clean trends and falls apart in ranges, where five or ten blocks are active at once and only one or two will ever produce a meaningful reaction. The Mitigation Velocity Order Block Ranker replaces that guesswork with an objective score. Every active block is graded in real time on three independent dimensions: how quickly it gets tested after creation, how aggressive the volume was when it formed, and whether it sits in the right half of the higher-timeframe range. The result is a single composite score per block and a top-N ranking that updates with every bar — so the strongest zones stand out visually and the marginal ones fade into the background. This is built for traders who already understand order block theory and want a way to filter for quality without flipping between timeframes or eyeballing volume. Use it as a confidence layer, a trigger filter, or a way to prioritize which zones deserve an alert. 🚀 Points of Innovation Composite scoring engine that grades every block on velocity, volume, and HTF context instead of treating all OBs as equal Time-to-first-touch velocity metric — freshness is measured against a configurable bar horizon, so stale zones decay naturally Volume depth scoring uses the formation candle’s relative volume against a rolling SMA baseline, not raw volume HTF premium/discount alignment automatically rewards bullish OBs in discount and bearish OBs in premium Dynamic top-N ranking table with side, levels, and live score for every tracked block Rank-driven color fading visually separates the strongest zones from the rest at a glance 🔧 Core Components Velocity Score: Measures bars elapsed between OB creation and its first mitigation touch, normalized against a user-defined horizon. Untouched blocks decay as they age, so freshness is rewarded. Volume Score: Compares the formation candle’s volume to its rolling SMA baseline and maps the ratio to a 0-to-1 range, clamped at 3x baseline so a single spike can’t dominate. HTF Alignment Score: Pulls the high and low of the selected HTF lookback range and rewards bullish blocks below the midpoint, bearish blocks above it, scaled by how deep into the array the block sits. 🔥 Key Features Real-Time Composite Ranking: Every active block gets a fresh score on every bar, with ranks reassigned dynamically as conditions change. Configurable Metric Weights: Tune velocity, volume, and HTF weights independently to match your trading style or backtest results. Top-N Ranking Table: See your strongest zones at a glance with side, top, bottom, and live score in a clean on-chart table. Rank-Faded Zone Colors: The #1 zone shows vivid; lower-ranked zones fade progressively, making chart hierarchy instantly readable. Top-Block Mitigation Alerts: Get notified the moment a top-ranked OB is tested — no noise from low-quality zone touches. Wick or Body Mitigation Toggle: Choose whether wicks count as a touch or only the candle body, depending on your style. Configurable HTF Reference: Set any higher timeframe and lookback range for the premium/discount array. 🎨 Visualization Ranking Table: Top-right by default (position is configurable), shows rank number, side, top price, bottom price, and current score for each tracked block. Zone Boxes: Every active OB is drawn as a colored box from its formation bar forward. The #1 zone is fully vivid; rank 2, 3, 4… fade progressively toward transparency. Rank Labels: Top-N blocks display a label at the right edge showing “#rank score” so you can map any box back to its row in the table without counting. Border Weight: Top-N zones get a heavier border to draw the eye; lower-ranked zones use a lighter border. Listed images displaying all necessary components 📖 Usage Guidelines Order Block Detection Swing Pivot Length — Default: 5 — Range: 2-50 — Controls how many bars must confirm a swing before an OB is created. Higher values produce fewer, more significant zones; lower values catch more structure but generate more noise. Max Active Blocks — Default: 20 — Range: 5-50 — Hard cap on tracked unmitigated blocks. Oldest blocks are dropped first when the cap is exceeded. Use Wick Mitigation — Default: false — A wick touch counts as a mitigation when enabled; only the candle body counts when disabled. Wick mitigation is stricter and produces faster invalidations. Scoring Weights Velocity Weight — Default: 0.40 — Range: 0-1 — How much the time-to-first-touch metric contributes to the composite score. Volume Weight — Default: 0.35 — Range: 0-1 — How much the formation-candle relative volume contributes to the composite score. HTF Alignment Weight — Default: 0.25 — Range: 0-1 — How much the HTF premium/discount bonus contributes to the composite score. Velocity Horizon (bars) — Default: 50 — Range: 5-500 — Bar window used to normalize the velocity score. Shorter horizons make the velocity metric stricter; longer horizons are more forgiving. Volume Lookback — Default: 20 — Range: 5-200 — SMA length used as the relative volume baseline for the volume score. Higher Timeframe Alignment HTF Timeframe — Default: D (Daily) — Higher timeframe used to compute the premium/discount array. Common picks: 4H, D, W. HTF Range Lookback — Default: 20 — Range: 5-200 — Number of HTF bars used to construct the premium/discount range. Ranking Table Show Ranking Table — Default: true — Toggles the on-chart table. Top N Blocks — Default: 5 — Range: 1-15 — Number of top-ranked blocks displayed in the table and emphasized with vivid coloring on the chart. Table Position — Default: top_right — Choose where the table renders on the chart. Table Text Size — Default: small — Font size for table cells. Visual Settings Bullish Base Color — Default: teal — Base color for bullish zones. Top-ranked zones use this color at full opacity; lower ranks fade toward transparency. Bearish Base Color — Default: red — Base color for bearish zones, with the same rank-fading behavior. Show Rank Labels on Zones — Default: true — Toggles the rank/score labels at the right edge of top-N zones. Extend Zones to Right — Default: true — Extends boxes 10 bars past the current candle for easier visual targeting. ✅ Best Use Cases Smart Money and ICT traders looking to filter their order block list down to the highest-conviction zones Swing and position traders who want HTF premium/discount logic baked into their LTF entry zones Scalpers needing to prioritize which of several active blocks to actually trade in a range-bound session Discretionary traders who want a quantitative confidence layer on top of their existing order block process Markets with reliable volume data — futures, indices, crypto majors, large-cap equities ⚠️ Limitations Volume score depends on reliable volume data — spot forex and thinly traded instruments will produce noisy results The HTF alignment metric assumes the current HTF range is meaningful; in extended trends, premium/discount logic can lag Scores are relative within the active block set — a “high” score in a quiet market is not directly comparable to a “high” score in a volatile one Order block detection uses confirmed pivots, which means OBs are drawn with a swing-length bar delay Like all order block tools, this is a context indicator — it does not generate standalone buy or sell signals 💡 What Makes This Unique Existing order block indicators either show every block equally or filter on a single dimension like volume. This script is the first to combine velocity, volume, and HTF context into a single composite score and rank every active block against the others in real time. The output is a clean hierarchy of zones you can act on with confidence — strongest first, weakest faded out — instead of a chart cluttered with equally-weighted boxes. 🔬 How It Works 1. Detect and Track The script scans for confirmed swing highs and lows using your pivot length. For each one, it walks back to find the last opposing-color candle, marks that as the order block, and stores its top, bottom, formation volume, and creation bar. Active blocks are tracked in a managed array up to your configured max. 2. Score Every Bar On every new bar, each unmitigated block is re-scored on three independent metrics — velocity (how fresh), volume (how aggressive at formation), and HTF alignment (whether it sits in the right half of the higher-timeframe range). The three sub-scores are normalized to 0–1 and combined using your configured weights into a single composite score. 3. Rank, Render, Alert All active blocks are sorted by composite score descending. The top-N get vivid coloring, rank labels, and rows in the on-chart table. Lower-ranked blocks fade progressively. When price returns to a top-ranked zone and mitigates it, an alert fires so you never miss a test on a zone you actually care about. 💡 Note: This indicator is a context and prioritization tool, not a signal generator. Use the scores and rankings to qualify zones you would already be watching, not as standalone entry triggers. Backtest the weight combinations on your instrument and timeframe before committing them to live trading — the right mix of velocity, volume, and HTF weighting depends heavily on the market you trade.
Pine Script® 인디케이터
PhenLabs의
1
SmartFlow Kill ZoneSmartFlow Kill Zone highlights the three major trading sessions (Tokyo, London, New York) and their corresponding ICT Kill Zones directly on your chart. Designed for intraday traders who use session-based and Smart Money Concepts (SMC) strategies, this indicator gives you instant visual clarity on when high-probability trading windows are active. █ WHAT IT DOES This indicator identifies and displays the three global forex sessions and three ICT Kill Zones using distinct background colors. It also tracks the High and Low of each session in real time and draws horizontal reference lines that update as the session progresses. A built-in dashboard provides a quick overview of which sessions and Kill Zones are currently active, along with each session's range in pips. █ HOW IT WORKS Session and Kill Zone detection is based on time-of-day logic using the user-selected timezone (default: America/New_York): Sessions: - Tokyo: 19:00 – 04:00 ET - London: 03:00 – 12:00 ET - New York: 08:00 – 17:00 ET Kill Zones (ICT): - London Kill Zone: 02:00 – 05:00 ET - New York Kill Zone: 07:00 – 10:00 ET - Asian Kill Zone: 20:00 – 00:00 ET (off by default) Session High/Low lines are drawn from the session's opening bar and updated on every new bar during the session. When a session closes, lines optionally extend to the right until the next session of the same type begins. Previous sessions' High/Low lines are preserved across multiple days (configurable via "Days to Display"). The dashboard table uses the last bar's data to show open/closed status, the session's current range, and whether any Kill Zone is active. █ HOW TO USE - Apply the indicator to any intraday chart (1m to 1h recommended). - Use the background shading to quickly identify which session you are trading in. - The brighter Kill Zone overlay tells you when the highest-probability reversal windows are active — this is where ICT traders look for optimal trade entries. - Session High/Low lines act as key reference levels. Price often reacts at these levels as they represent session-based liquidity. - The dashboard gives you a heads-up display so you never miss a Kill Zone activation. █ FEATURES - Three session backgrounds with independent on/off toggles - Three ICT Kill Zone backgrounds with independent on/off toggles - Real-time Session High/Low tracking with configurable line style and width - High/Low labels that update live during the session - "Extend Lines Right" option for lines to project forward until the next session - Multi-day history (up to 30 days of past session H/L lines) - Dashboard with session status, range (pips), and Kill Zone status - Dashboard position and size are fully customizable - 9 alert conditions (session open/close and Kill Zone activation) - Full timezone support (10 major timezones) - Works on any symbol and any intraday timeframe █ SETTINGS Sessions — Toggle visibility for Tokyo, London, and New York sessions. Kill Zones — Toggle each ICT Kill Zone independently. Asian KZ is off by default. Colors — Customize background colors for each session and Kill Zone. Session High/Low — Toggle H/L lines and labels, set line width, style, and right extension. Dashboard — Toggle, reposition, and resize the info panel. Timezone — Select the timezone used for session calculations. History — Set how many days of past session H/L lines to display (1–30). █ NOTES - This indicator does not generate buy or sell signals. It provides session structure and timing context to support your own trading strategy and decision-making. - Kill Zone times are based on the ICT (Inner Circle Trader) framework. Different educators may define slightly different windows. - For best results, use on timeframes of 1 hour or lower where session boundaries are clearly visible.
Pine Script® 인디케이터
SmartFlow2026의
Delta SMC ProDelta SMC Pro ist ein Hybrid‑Indikator, der Liquidity Sweeps CHoCH‑Breaks und ein starkes Delta‑Volumenmodul kombiniert Delta – Kurzdefinition: Delta misst den Unterschied zwischen Kaufvolumen und Verkaufsvolumen. Bullish Delta → mehr aggressives Kaufvolumen Bearish Delta → mehr aggressives Verkaufsvolumen Neutral → ausgeglichen Delta zeigt, ob ein Move echte Stärke hat oder nur ein Liquidity‑Grab ist. Hauptfunktionen: Sweep‑Erkennung (HTF) CHoCH‑Erkennung (LTF) Delta‑Momentumfilter Hybrid‑Entry‑Signale (LONG / SHORT) Dashboard + Alerts für Automatisierung Nutzung: Sweep‑ und CHoCH‑Timeframe wählen Trend pro Asset einstellen LONG/SHORT erscheinen automatisch, wenn alle Bedingungen erfüllt sind Alerts aktivieren für Bot‑Signale Sweeps funktionieren gut in Liquiditätszonen CHoCH bestätigt Richtungswechsel Delta filtert schwache Moves
Pine Script® 인디케이터
JohannesL_의
Session Sweep Reversal Predictor - PhenLabs🚀 #67 Session Sweep Reversal Predictor - PhenLabs 📌 Overview Session Sweep Reversal Predictor helps traders evaluate whether a confirmed session liquidity sweep is more likely to reverse or continue. It tracks Asian, London, and New York session ranges, detects qualified sweeps of prior session highs or lows, then uses a rolling Bayesian model to estimate reversal and continuation probability from previous sweep outcomes. Instead of showing every wick through a level, SSRP filters for displacement using candle size versus ATR and body-to-range quality. The goal is to highlight cleaner sweep events where price actually shows intent after taking session liquidity. 📊 Core Idea Markets often build liquidity around session highs and lows. When a later session sweeps a prior session range, the key question is not just “was liquidity taken?” but “did this sweep behave like prior sweeps that reversed, or like prior sweeps that continued?” SSRP answers that question with a rolling event model. Each qualified sweep is classified by candle structure, displacement, and close location, then compared against historical outcomes inside the selected lookback window. 🚀 Key Features ✅ Tracks Asian, London, and New York session ranges ✅ Detects wick sweeps with rejection closes ✅ Optional failed-close sweep detection ✅ Session-aware sweep logic: London can sweep Asian, New York can sweep London or Asian ✅ Displacement filters using ATR expansion and body/range quality ✅ Rolling Naive Bayes probability model ✅ Reversal and continuation probability labels ✅ Session range boxes, session background tint, swept-level lines, and dashboard table ✅ Alerts for high reversal-probability and high continuation-probability sweeps 🔧 Settings Session Timezone Default: America/New_York Options: America/New_York, Europe/London, Asia/Tokyo, UTC, exchange Description: Timezone used for hour-based session classification. Asian / London / New York Session Default: Asian 18:00–03:00, London 03:00–07:59, New York 08:00–16:00 Description: Reference session windows for the model’s intended session structure. The script evaluates sessions by hour in the selected timezone. Detect Wick Sweeps Default: On Description: Detects sweeps where price straddles a locked session level and closes back through it. Detect Failed-Close Sweeps Default: Off Description: Detects sweeps where one bar closes beyond the level and the next bar reclaims it. London may sweep Asian range Default: On Description: Allows London-session sweeps of the completed Asian range. New York may sweep Asian range Default: On Description: Allows New York-session sweeps of the completed Asian range. New York may sweep London range Default: On Description: Allows New York-session sweeps of the completed London range. New York gives London levels priority before falling back to Asian levels. ATR Length Default: 14 Description: ATR period used for displacement qualification and outcome measurement. Min Candle Size × ATR Default: 1.5 Description: Minimum candle range relative to ATR required for a sweep to qualify. Min Body/Range Ratio Default: 0.5 Description: Minimum body quality required to reduce weak wick-only signals. Rolling Lookback Default: 100 sweep events Description: Number of prior sweep events retained in the probability model. Laplace Smoothing α Default: 4.3 Description: Smoothing factor used by the Bayesian model so early samples do not become overconfident. Outcome Forward Bars Default: 10 Description: Number of bars after a sweep used to classify whether the event reversed or continued. Reversal Threshold % Default: 60 Description: Probability level required to trigger high-reversal visual emphasis and alerts. Continuation Threshold % Default: 60 Description: Probability level required to trigger high-continuation visual emphasis and alerts. 🔥 How It Works 1. Build session ranges • Asian, London, and New York highs/lows are tracked independently. • When a session ends, its range is locked for later sweep detection. • New Asian session starts reset prior London and New York levels for the new day. 2. Detect qualified sweeps • London can sweep the completed Asian range. • New York can sweep the completed London range first, then Asian range. • A high sweep requires price to trade above the level and close back below it. • A low sweep requires price to trade below the level and close back above it. 3. Filter for displacement • Candle range must be large enough versus ATR. • Candle body must represent enough of the full candle range. • This helps reduce weak, noisy liquidity taps. 4. Score the sweep • The model bins body quality, candle size, and close location. • It estimates reversal versus continuation odds using a rolling Naive Bayes model. • Laplace smoothing keeps the model from becoming too extreme on small samples. 5. Label the outcome • After the selected forward-bar window, the script checks whether price moved at least one event ATR back through the swept level. • If it did, the event is labeled as a reversal. • If it did not, the event is labeled as continuation. 🎨 Visual Guide • Blue box: Asian session range • Orange box: London session range • Background tint: active session • Yellow dashed line: swept level • Green label: reversal probability above threshold • Red label: continuation probability above threshold • Gray label: no high-confidence edge • Dashboard: most recent sweep events, session, source range, direction, probabilities, and outcome status 📖 How to Interpret Signals High Sweep A prior session high was taken. A high reversal probability suggests the model favors downside reaction from the sweep. A high continuation probability suggests the model favors upside continuation after the liquidity take. Low Sweep A prior session low was taken. A high reversal probability suggests the model favors upside reaction from the sweep. A high continuation probability suggests the model favors downside continuation after the liquidity take. REV % Estimated probability that the sweep reverses by at least one event ATR within the forward-bar window. CONT % Estimated probability that the sweep does not meet the reversal condition within the forward-bar window. ✅ Best Used For SSRP is designed for intraday traders who watch session liquidity, especially London and New York open behavior. It is most useful on liquid markets with clean session structure, such as major FX pairs, index futures, crypto majors, and high-volume equities. ⚠️ Important Notes This is a statistical context tool, not a guaranteed prediction engine. The Bayesian probabilities are based only on the script’s rolling sample of prior qualified sweep events. Early chart history, low-liquidity symbols, unusual sessions, and small lookback samples can make the probabilities less stable.
Pine Script® 인디케이터
PhenLabs의
Elaris Liquidity Zones Pro# Elaris Liquidity Zones Pro Liquidity-Based Market Structure & Price Zone Visualization Elaris Liquidity Zones Pro is a charting tool designed to help traders visualize liquidity-oriented price areas and market structure behavior. Rather than using only traditional support and resistance concepts, the indicator focuses on swing structures, equal highs/lows, and liquidity-style reactions that may become relevant during price movement. The goal is to provide additional market context in a clean and structured way. --- ## Features ### Adaptive Liquidity Zones * Detects swing-based price areas automatically * Uses volatility-aware calculations for dynamic zones * Displays potential buy-side and sell-side liquidity regions ### Equal High / Equal Low Detection * Highlights clustered highs and lows * Includes tolerance filtering to reduce insignificant levels * Helps visualize areas where liquidity may accumulate ### Liquidity Sweep Detection * Detects potential sweep behavior around key levels * Highlights rejection-style reactions after liquidity grabs * Can assist with identifying shifts in short-term momentum ### Dynamic Zone States Zones update based on price interaction: * Fresh * Tested * Swept * Invalidated This helps traders monitor how price responds to previously identified areas. ### Strength Filtering * Filters weaker zones using structural conditions * Designed to reduce unnecessary chart noise * Allows focus on more relevant levels ### Visual Customization * Box-style zone visualization * Optional midpoint lines * Minimal labeling for cleaner charts ### Alerts Available alerts include: * Liquidity zone touch * Sweep detection * Zone invalidation Useful for both active chart monitoring and alert-based workflows. --- ## Example Use Cases * Studying market structure behavior * Monitoring equal highs and lows * Identifying potential liquidity sweeps * Adding context to support/resistance analysis * Improving chart organization and trade planning --- ## Notes This script is intended as a market structure and liquidity visualization tool. It does not predict future price movement and should be used alongside a trader’s own analysis and risk management. --- ## Disclaimer This indicator is provided for educational and informational purposes only and does not constitute financial advice.
Pine Script® 인디케이터
ElarisGroup의
1
Parabolic SAR Smart Filter [MarkitTick]💡 The Parabolic SAR Smart Filter is a sophisticated trend-following tool designed to enhance the traditional Parabolic Stop and Reverse (SAR) indicator with modern algorithmic filters. While the standard SAR is a staple in technical analysis for identifying trend direction and potential reversal points, it is notorious for producing false signals in sideways or low-volatility markets. This script addresses those limitations by integrating multi-timeframe (MTF) alignment, liquidity sweep detection, and volatility-normalized momentum scoring. By combining these advanced concepts, the indicator provides a high-fidelity visual experience through its "3D Neon" rendering engine, while offering a robust backend for automated trading via JSON-ready webhooks. ● ✨ Originality and Utility The primary utility of this indicator lies in its ability to separate high-probability trend shifts from noise. Standard indicators often operate in a vacuum, ignoring the context of higher timeframes or the underlying liquidity structure of the market. The Smart Filter breaks this mold by introducing three critical layers of verification: • Multi-Timeframe Trend Gating The script allows users to select a higher timeframe (HTF) as a trend filter. A signal is only considered valid if the local trend aligns with the HTF direction. This prevents traders from fighting the "big picture" momentum, which is a common pitfall in trend-following strategies. • Liquidity Sweep Integration In modern market environments, institutional "stop hunts" or liquidity sweeps often precede genuine moves. This indicator identifies when a SAR flip occurs immediately after a sweep of local highs or lows, providing an additional layer of confidence that the reversal is backed by real capital movement rather than a minor price fluctuation. • Neon Decay Visualization Unlike static indicators, the "3D Neon" engine visualizes the "age" of a trend. As a trend matures, the visual intensity of the SAR dots fades. This creates an intuitive psychological cue for the trader, signaling that a trend may be reaching exhaustion or that the risk/reward ratio for new entries is diminishing. ● 🔬 Methodology and Concepts The script is built upon several interconnected logical modules that process market data in real-time to generate actionable insights. • SAR Logic and State Machine The core engine utilizes a standard Parabolic SAR calculation, but it is encapsulated within a custom "Signal Engine" type. This engine tracks not just the current price, but the entry price, risk distance, and direction flips. This state-persistent approach allows for precise calculations of risk-to-reward ratios immediately upon a trend reversal. • Momentum Score Calculation The momentum score is a volatility-normalized metric. It is calculated by dividing the absolute distance between the current close and the SAR value by the Average True Range (ATR). This creates a "Sigma" style score that tells the trader how "extended" the price is relative to its average volatility. A high score suggests strong trend momentum, while a low score indicates a stagnant or consolidating market. • Liquidity Sweep Logic The sweep detection module looks back over a user-defined window (Sweep Lookback). It checks if the current low (for a bullish flip) is lower than the previous period's low, or if the current high (for a bearish flip) is higher than the previous period's high. If a SAR flip occurs under these conditions, it is flagged as a "Sweep Signal," suggesting that the market has purged liquidity before reversing. • Early Warning System To assist with trade management, the script calculates an "Early Warning" threshold. If the price returns to within 10% of the initial entry risk distance from the SAR dot, the script triggers a visual warning. This helps traders anticipate stops or adjust their trailing logic before a full reversal occurs. ● 🎨 Visual Guide The chart interface is designed for clarity and rapid data interpretation through color theory and geometric shapes. • The 3D Neon SAR The SAR is rendered as a three-layered circle: Core, Inner Glow, and Outer Glow. Neon Blue represents a Bullish trend, while Neon Orange/Amber represents a Bearish trend. The transparency of these layers increases as the trend persists (Neon Decay), making the visuals "glow" brightly at the start of a move and fade as it ages. • Neon Candles The script includes an optional "Neon Candles" mode. This colors the entire candle body and wick to match the current SAR trend direction. This provides a cohesive visual experience and reduces the cognitive load required to identify the current market bias. • Specialized Shapes and Labels Triangle Up/Down: Small yellow triangles appear on the SAR dots when the "Early Warning" system is active, signaling price proximity to the invalidation point. Label Up/Down: Bright yellow labels appear below (for buys) or above (for sells) a bar when a "Liquidity Sweep" is detected at the moment of a trend flip. • Dark-Mode Analytics Dashboard Located in the top-right corner, the dashboard provides a real-time summary. Trend State: Displays "BULLISH" or "BEARISH" in high-contrast text. Entry Trigger: The exact price where the most recent SAR flip occurred. Target (TP) and Invalidation (SL): Dynamic price levels based on the configured Risk/Reward ratio. Momentum Bar: A visual power bar (█░) that changes color based on the current momentum score (Green for High, Yellow for Medium, Gray for Low). MTF Context: Displays "ALIGNED" or "DIVERGED" based on the higher timeframe status. ● 📖 How to Use Effective utilization of the Smart Filter involves combining the visual signals with the dashboard metrics to form a comprehensive trade thesis. Identify a Trend Flip: Wait for the Parabolic SAR dots to switch from above the price to below (Bullish) or vice versa (Bearish). Verify MTF Alignment: Check the dashboard or the MTF Context label. High-probability trades occur when the current timeframe trend matches the Higher Timeframe trend. Check for Liquidity Sweeps: Look for the yellow "Sweep" labels. A flip that occurs after a liquidity sweep is often more reliable as it indicates a "washout" of weak hands. Assess Momentum: Before entering, ensure the Momentum Power Bar is at least yellow or green. Low momentum (gray) indicates a lack of conviction in the move. Set Risk Management: Use the TP and SL levels provided in the dashboard. The Stop Loss is always placed at the SAR level, while the Take Profit is projected based on your preferred Risk/Reward ratio. Monitor Early Warnings: If the yellow triangles appear on the SAR dots, be prepared for a potential exit or trend shift, as price is encroaching on the SAR invalidation zone. ● ⚙️ Inputs and Settings The indicator is highly customizable to fit various asset classes and trading styles. • SAR Logic Group SAR Start/Increment/Maximum: Controls the sensitivity and "acceleration" of the Parabolic SAR. Lower values make the SAR more trailing and slower, while higher values make it more sensitive to price changes. Risk/Reward Ratio: Determines the distance of the Take Profit level relative to the distance between the entry price and the SAR stop loss. ATR Length: Adjusts the window for the volatility calculation used in the Momentum Score. • Visuals — 3D Neon Group Neon Up/Down Colors: Allows full customization of the base and glow colors. Neon Decay Duration: Sets how many bars it takes for the SAR dots to reach their maximum transparency. Longer durations keep the "glow" visible for longer trends. Enable Bar Coloring: Toggles the neon-colored candle bodies. • MTF Alignment Group Higher Timeframe: Select the timeframe used for the trend gate (e.g., if trading on the 15m, you might set this to 1H or 4H). • Liquidity Sweep Group Sweep Lookback: The number of preceding bars checked to determine if the reversal occurred after a break of a significant high or low. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The Parabolic SAR Smart Filter is grounded in several quantitative and behavioral finance theories. • Volatility Normalization (ATR Theory) The integration of the Average True Range (ATR) to calculate momentum scores is based on the principle of volatility normalization. In financial mathematics, price movement is often "noisy." By dividing the price-to-SAR distance by the ATR, we essentially convert price distance into units of standard volatility. This allows for a more objective comparison of trend strength across different assets regardless of their nominal price or historical volatility. • Market Microstructure and Liquidity Theory The liquidity sweep detection logic is an application of Market Microstructure theory, specifically the concept of "Informationless Trades." Large institutional participants often require significant liquidity to enter positions, which is frequently found at levels where retail stop-losses are clustered (just below recent lows or above recent highs). Identifying a "sweep" before a trend reversal aligns the indicator with the concept of "Smart Money" accumulation or distribution. • Fractal Market Hypothesis (MTF Alignment) The use of multi-timeframe alignment is supported by the Fractal Market Hypothesis (FMH). FMH suggests that financial markets are fractal in nature and that trends on lower timeframes are nested within larger trends on higher timeframes. By requiring alignment between timeframes, the script seeks to capitalize on the "Self-Similarity" of market trends, increasing the probability that the local move is supported by a larger structural shift. • Decay Functions and Time-Decay Bias The Neon Decay visualization applies a linear decay function to the trend's age. This is academically related to the concept of "Trend Maturity Bias," where the probability of a trend continuation decreases (and the variance of price increases) as the trend persists over time. Visualizing this decay provides a non-linear representation of risk that standard technical indicators lack. ⚠️ 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. I 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.
Pine Script® 인디케이터
MarkitTick의
8
Black Tie SMCA complete Smart Money Concepts toolset on a single chart. Plots the building blocks structure-based traders work with: market structure breaks on two levels, order blocks, equal highs and lows, fair value gaps, strong and weak extremes, and premium/discount zones. WHAT IT INCLUDES Swing Structure Tracks the larger market shifts. Plots BOS (Break of Structure) when price continues in the prevailing direction and CHoCH (Change of Character) when the structural bias flips. Internal Structure Tracks short-term shifts within the larger swing structure. Same BOS and CHoCH logic on a smaller pivot length. Optional confluence filter requires the breaking candle to have more body than wick on the breakout side, filtering weak breaks. Order Blocks The last opposing candle before a structural break. Plotted as a zone that price often retests. Available on both swing and internal levels, with separate counts and color settings for each. Volatility filtered (ATR or Cumulative Mean Range) to avoid blocks formed on engulfing candles. Mitigation tracked by close or wick. Equal Highs and Equal Lows Pivots that form at similar prices, marking liquidity pools. The tolerance is expressed in ATR multiples, so the detection scales with each instrument. Fair Value Gaps Three-bar imbalances where price moved without being balanced. Often acts as future support or resistance. Auto-threshold filters small gaps based on average bar size. Multi-timeframe support. Strong and Weak Highs and Lows The most recent significant high and low, labeled as Strong (the opposite extreme was swept) or Weak (it held while the opposite was swept). Useful for identifying which side of the range carries liquidity. Premium and Discount Zones Divides the most recent swing range into Premium (top), Equilibrium (middle), and Discount (bottom). For timing entries within a structural range. HOW TO USE Use Swing Structure for directional context, Internal Structure for timing. Order Blocks and Fair Value Gaps mark zones where price often reacts. Equal Highs and Equal Lows mark where liquidity sits. Premium and Discount zones tell you whether you are buying or selling at a favorable location within the range. This is a visualization toolset, not a signal generator. The chart still requires interpretation. SETTINGS Display Mode controls whether all historical structures stay on chart (Historical) or only the most recent ones are kept (Present, default). Every component can be enabled or disabled individually so you only see what you need on the chart.
Pine Script® 인디케이터
BlackTieReport의
Smart Money Concept: Liquidity Sweep [MarkitTick]💡 The Smart Money Concept: Liquidity Sweep is an advanced technical suite engineered for precision algorithmic trading and comprehensive market analysis. this unified market intelligence hub tracks major market participant footprints by analyzing liquidity raids, structural shifts, and fair value gaps. It operates strictly on confirmed data to ensure zero lookahead bias, making it an authoritative tool for quantitative analysts and disciplined traders who demand rigorous data integrity. This system provides a complete and deterministic view of price action, abstracting complex market mechanics into clear, actionable signals. Every module within this script has been optimized for minimal execution overhead while maximizing analytical depth. ● ✨ Originality and Utility Unlike generic structure indicators that simply plot highs and lows, this tool integrates a proprietary Confluence Score Dashboard and a robust Liquidity Sweep Filter. It does not merely react to price crossing a level; it evaluates the nature of the interaction, distinguishing between genuine market structure shifts and manipulative liquidity sweeps orchestrated by large-cap market participants. By unifying ten distinct analytical modules into a single, performance-optimized architecture, it provides a complete and cohesive trading ecosystem without cluttering the chart. These modules range from Order Block mitigation tracking to Session Kill Zones and Premium/Discount mapping, ensuring all aspects of price action are covered. Furthermore, it is explicitly built for automation, seamlessly generating strictly formatted JSON payloads for direct routing to external execution platforms like PineConnector or 3Commas. These JSON webhooks dynamically calculate and transmit precise Entry, Take Profit, and Stop Loss parameters strictly utilizing format.mintick string conversions. ● 🔬 Methodology and Concepts The core engine operates on a multi-dimensional analysis framework, utilizing advanced market mechanics to decode price delivery algorithms: • Fractal Market Structure The script mathematically identifies key swing points to establish dynamic structural ranges. It accurately tracks the active trend and flags both Break of Structure (BOS) and Change of Character (CHoCH) events based on confirmed price closes. This ensures that the underlying trend logic is grounded in true market conviction rather than momentary volatility. • Liquidity Engineering The engine actively monitors previous pivot extremes for sweep conditions. This ensures that entries are backed by strategic liquidity harvesting from large-volume entities, rather than falling for premature breakouts or retail traps. • Multi-Timeframe Alignment The indicator employs a higher-timeframe variance filter to gauge the overarching trend direction. It utilizes offset data arrays with strict lookahead protection to ensure a strictly non-repainting bias confirmation across multiple chart periods. • Inefficiency Mapping The algorithm detects and maintains active Fair Value Gaps (FVG) and structural Inducements (IDM). It dynamically mitigates and clears these zones from the chart as price action naturally rebalances the market inefficiency, keeping the visual workspace clean. ● 🎨 Visual Guide The script provides a clean, highly actionable visual hierarchy directly on the chart to minimize cognitive load: Structure Candles: Candlesticks are dynamically colored to reflect the current internal state. They are painted Cyan during confirmed bullish structural trends and Magenta during confirmed bearish trends. Structural Lines and Labels: Dashed lines project horizontally from broken swing points. These lines are explicitly annotated with BOS or CHoCH labels indicating the exact direction and type of structural shift that occurred. Zone Fills (Boxes): Support and Resistance Zones: Cyan and Magenta boxes highlight active bullish and bearish Order Blocks (OB). Mitigated blocks dynamically change to a muted gray color to reduce visual noise. Premium and Discount Zones: When enabled, the active structural range is divided into a Magenta Premium zone, a white Equilibrium line, and a Cyan Discount zone. FVG Zones: Transparent graphical fills indicate unmitigated Fair Value Gaps waiting for price rebalancing. Session Kill Zones: Highlighted backgrounds map the Asian (Orange), London (Gold), and New York (Green) active trading windows for temporal confluence. Inducement Labels: Yellow IDM tags mark minor pullbacks that have been successfully swept, confirming liquidity capture. Confluence Dashboard: A dynamic text label appears precisely at the point of signal generation. It displays an aggregate score from 0 to 5, color-coded Green for High Confluence, Orange for Medium, or Red for Low. A detailed hover-tooltip breaks down the active filters contributing to the score. ● 📖 How to Use To maximize the utility of this robust tool, traders should seek alignment across multiple internal analytical modules: Establish Context: Begin by utilizing the Session Kill Zones and Premium/Discount areas to frame the current market environment. Ideal long setups originate deep within the Cyan Discount zone during active London or New York trading hours. Identify Liquidity Capture: Wait patiently for a confirmed liquidity sweep or the breaking of an Inducement (IDM) level. This validates that major market operators have accumulated positions and trapped counter-trend traders. Confirm the Shift: Monitor the chart for a valid BOS or CHoCH signal backed by the Confluence Score Dashboard. A score of 4 or 5 indicates exceptionally high alignment between HTF bias, liquidity sweeps, market gaps, and session timing. Execution and Risk: Upon signal generation, the script automatically plots the optimal entry point. It also calculates a dynamic ATR-based Stop Loss and a predefined Risk/Reward-based Take Profit. These exact price coordinates are simultaneously broadcast via the automated JSON alert webhook for seamless execution. ● ⚙️ Inputs and Settings The suite is highly customizable, divided into logical control groups for rapid configuration: • Market Structure Adjust the Swing Length sensitivity to filter out market noise and define the exact target Risk/Reward Ratio for automated signal generation. • Visuals Granular control is provided over all interface colors, including specific toggles for dynamic candle coloring and user-configurable zone opacities. • Toggleable Filter Modules Ten individual toggles allow users to enable or disable specific algorithmic engines, including: ① Liquidity Sweep Filter ② HTF Bias Filter (with customizable resolution) ③ Premium / Discount Zone ④ Session Kill Zones ⑤ Fair Value Gap Engine ⑥ Inducement Detection ⑦ MSS Body Confirmation (requires full body closes for valid structure breaks) ⑧ ATR-Adaptive SL (with custom length and standard deviation multiplier) ⑨ OB Mitigation Tracker ⑩ Confluence Score Dashboard ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The algorithmic foundation of this analytical suite is firmly anchored in Auction Market Theory and variance-adjusted statistical modeling. At its core, the indicator rejects the standard premise of random walk price action, instead modeling the financial market as a highly efficient, liquidity-seeking mechanism. By mathematically isolating structural extremes and standardizing pivot lengths, the engine calculates the probability of order flow absorption versus trend continuation. The script analyzes the temporal decay of market inefficiencies, specifically mapping how quickly Fair Value Gaps are rebalanced by subsequent price delivery. The inclusion of an ATR-adaptive risk model ensures that stop-loss parameters expand and contract proportionally to current market variance. This utilizes average true range standard deviations to normalize volatility, preventing premature stop-outs during periods of high structural stress. Furthermore, the proprietary Confluence Score relies on a multi-variate Boolean matrix. This matrix synthesizes time-domain variables (Session Zones), spatial distribution metrics (Premium/Discount mapping), and momentum vectors (HTF Bias) into a singular, quantized metric of setup validity. This deterministic mathematical approach removes subjective bias, relying purely on the physics of price delivery, volume distribution, and order flow imbalance. ⚠️ 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. I 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.
Pine Script® 인디케이터
MarkitTick의
1