Mulai

Bias

VWAP Gravity Bands [JOAT]VWAP Gravity Bands is an open-source Pine Script v6 overlay that builds an anchored VWAP field with a smoothed T3 basis and ATR ladder bands. It is designed to show how far price has traveled from a session, weekly, or monthly value anchor, then classify that distance as center pull, ladder drift, expansion, or outer-band reaction. The script is useful when a trader wants the chart to show both location and behavior around VWAP. Instead of a single VWAP line, it creates a full distance map around the anchor, colors candles by their distance from the basis, and highlights confirmed outer reactions without using arrow-style signal clutter. Core Concepts 1. Anchored VWAP Selection The anchor can reset on the session, week, or month. The script uses timeframe.change() to produce the reset pulse and ta.vwap() to calculate the anchored value. anchorTimeframe = anchorChoice == "Week" ? "1W" : anchorChoice == "Month" ? "1M" : "1D" anchorPulse = timeframe.change(anchorTimeframe) rawVwap = ta.vwap(sourceInput, anchorPulse) 2. T3 Basis Smoothing Raw anchored VWAP can move sharply at the beginning of an anchor period. VWAP Gravity Bands runs that value through a T3-style smoother to create a cleaner basis while preserving responsiveness. e1 = ta.ema(src, length) e2 = ta.ema(e1, length) e3 = ta.ema(e2, length) basis = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3 3. ATR Ladder Bands The band ladder is based on ATR, not fixed percentages. This lets the distance field expand and contract with the market's current movement range. ladderUnit = atr * bandStep upperOne = basis + ladderUnit lowerOne = basis - ladderUnit upperThree = basis + ladderUnit * 3.0 lowerThree = basis - ladderUnit * 3.0 4. Distance State Model Distance from VWAP is normalized by the ladder unit. The script classifies large directional continuation as expansion and failed outer-band tests as reactions. 5. Gradient Candle Coloring Candles can be colored by their normalized distance from VWAP. This helps identify when price is balanced around the anchor, drifting away from it, or stretched toward an outer band. Features Session, weekly, or monthly anchor: Select the VWAP reset period from inputs T3-smoothed VWAP basis: Cleaner centerline for visual trend and location analysis ATR ladder bands: Three upper and lower bands scale with current volatility Expansion state detection: Highlights directional movement away from the basis Outer reaction detection: Marks confirmed failed tests near the outer ladder Distance candle mode: Optional gradient candles based on normalized VWAP distance Dashboard: Shows anchor, state, distance, ATR step, and basis slope Alert conditions: Upper reaction, lower reaction, upper expansion, and lower expansion Input Parameters Visual System: Palette Preset: Selects color pair Distance Candles: Enables candle coloring by VWAP distance Dashboard: Shows top-right state panel Raw VWAP: Displays the unsmoothed anchored VWAP Outer Reaction Marks: Shows compact TP-style outer reaction markers VWAP Gravity: Anchor: Session, Week, or Month Source: Price source used for VWAP T3 Basis Length: Smoothing length for the VWAP basis T3 Factor: Controls T3 smoothness ATR Length: Volatility length used for ladder distance ATR Step: Distance between ladder bands Expansion Step: Threshold for expansion classification Reaction Step: Threshold for outer reaction classification How to Use This Indicator Step 1: Choose the Anchor Use Session for intraday context, Week for swing context, and Month for broader value location. Step 2: Read Distance From Basis The dashboard distance value shows how many ladder units price is away from the smoothed VWAP basis. Step 3: Separate Expansion From Reaction Expansion means price is moving away from VWAP with slope confirmation. Reaction means price tested an outer area and closed back inside. Step 4: Use the Bands as Context The bands are not automatic entry levels. They show location. Combine them with market structure, candle behavior, and risk planning. Indicator Limitations VWAP is volume-based and may behave differently on symbols with sparse volume The first bars after a new anchor can be less stable because VWAP is starting a new sample Reaction markers show a confirmed close back inside a zone, not a future reversal forecast ATR bands adapt to volatility but can widen quickly after large bars Originality Statement VWAP Gravity Bands is original in how it combines anchored VWAP selection, T3 smoothing, ATR ladder geometry, distance-colored candles, and separate expansion/reaction states. It is built from public Pine v6 functions and original logic rather than copied indicator source. Disclaimer This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. VWAP location and band reactions can fail in trending, news-driven, or low-liquidity markets. Always use independent analysis and proper risk management. -Made with passion by jackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
4
Liquidity Side Bias Engine [AGPro Series]Liquidity Side Bias Engine 🧠 Core Idea Which side of resting liquidity is the more likely near-term draw right now: the buy-side above, or the sell-side below? This script is built to answer that one question with structure instead of guesswork. 📌 Overview / What It Does Liquidity Side Bias Engine is a forward-looking, two-sided liquidity planner for smart-money and ICT-style analysis. Most price action leaves resting liquidity on both sides of the market: buy-side liquidity above old highs and equal highs, and sell-side liquidity below old lows and equal lows. At any moment, one of those two sides usually has the stronger pull. This tool maps the nearest untapped liquidity on each side and weighs it into a single, readable side lean. Concretely, it identifies the closest buy-side pool above price and the closest sell-side pool below price from equal-highs and equal-lows clusters, the prior higher-timeframe high and low, and unmitigated swing points. It then scores each side from 0 to 100 using proximity, pool strength, trend context, and premium-discount range position, and reports which side is leaning, by how much, where the primary draw sits, and which opposite level would flip the read. It does NOT predict price, generate buy or sell signals, or automate trades. It organizes a two-sided liquidity picture into a structured bias so the chart is easier to read and plan around. Every output is analytical context, not a recommendation. 🎯 Purpose & Design Philosophy Liquidity tools usually fall into two buckets: reactive sweep detectors that mark a liquidity grab after it already happened, and static maps that draw every pool on the chart and leave interpretation entirely to the trader. Both are useful, but neither answers the practical question a planner actually asks before the move: of the two sides, which one is the market more likely leaning toward next? This engine was built to fill that gap. It is for the trader who already understands liquidity but wants a clean, consistent way to frame the two-sided picture without manually weighing five different factors on every chart. It supports a patient, context-first mindset: read the lean, understand why it leans, watch the primary draw and the flip level, and let broader market context confirm or deny the idea. The goal is intentional, structured thinking, not a shortcut around it. ⚡ Why This Script Is Different Most liquidity tools focus on what already happened, marking sweeps and grabs after the candle closes, or they paint a dense map of every pool and stop there. This script does NOT try to call tops and bottoms, does NOT fire trade signals, and does NOT bury the chart in unlabeled levels. Instead, it looks forward. It treats buy-side and sell-side liquidity as a two-sided tug-of-war and resolves it into one lean score from 0 to 100, with a clear dominant side, a primary draw target, an opposite flip level, the pool type in play, and a premium-discount range read. The leaning side is drawn solid and emphasized; the opposite side is drawn faint as the flip reference. The result is a single, calm decision-support read instead of a wall of levels or a backward-looking alert. ⚙️ Methodology 1. Context Detection An ATR baseline, an EMA trend backbone with a slope check, and a premium-discount dealing range are computed to describe the current environment. 2. Reference Mapping The nearest untapped buy-side pool above price and sell-side pool below price are located from equal-highs and equal-lows clusters, the prior higher-timeframe high and low, and unmitigated swing points. The prior period adapts to the chart: prior day on intraday, prior week on daily, prior month on higher timeframes. 3. Reaction Evaluation Each side is scored from 0 to 100 across four factors: proximity (closer pools pull more), pool strength (cluster size, prior-period magnetism, freshness), trend context (the direction-aligned side is weighted), and range position (discount weights the buy-side draw, premium weights the sell-side draw). The two scores are compared into a single lean; a small balance gap is treated as two-sided. 4. Visual Output The leaning side, its primary draw, the opposite flip level, pool type, distance, and a next-action read are rendered into a clean panel, two side lines, a centered bias badge, and moderate alternating event labels. 🗺️ How to Read the Chart - Side lines: the buy-side line sits above price, the sell-side line below. The leaning side is solid and bold; the opposite side is faint and dashed, marking the flip reference. - Bias badge: a compact badge near current price shows the leaning state and its 0-100 score. - Target tag: a single right-edge tag marks the primary draw price on the leaning side. - Faint pool lines: lighter dotted lines show other untapped pools as a soft liquidity map. - Labels: green relates to buy-side context, pink to sell-side context, amber to balanced. - Panel: a fixed readout of state, bias score, primary draw, pool type, range, flip level, and action. 🚦 Signals & States - Buy-Side Lean → buy-side liquidity above is currently the leaning near-term draw. - Sell-Side Lean → sell-side liquidity below is currently the leaning near-term draw. - Balanced → both sides are close in score; no clear leaning side. - Buy-Side Taken / Sell-Side Taken → a liquidity side was traded through (mitigated). These are interpretive states, not instructions. A Buy-Side Lean does not mean buy; it means the upside pool is the weighted draw in the current context. 🔔 Alerts Logic Three optional alerts are available: - Buy-Side Lean: triggers when the dominant side flips to buy-side above the active threshold. - Sell-Side Lean: triggers when the dominant side flips to sell-side above the active threshold. - Liquidity Side Taken: triggers when a buy-side or sell-side pool is traded through. Alerts are attention markers that point you back to the chart for context. They are not trade instructions and carry no guarantee of any outcome. 🧩 Confluence Logic The lean is itself a confluence read. When proximity, pool strength, trend alignment, and range position agree on one side, that side scores higher and the lean is more pronounced. When they disagree, the score stays moderate and the state may resolve to Balanced, which is information in itself: the two-sided picture is unresolved. 📊 When to Use - Trending markets, to frame whether the trend-aligned liquidity remains the dominant draw. - Ranging markets, to read which range extreme is the more likely draw from the current premium-discount position. - Around prior-period highs and lows, to gauge which side carries the stronger pull. - As a planning overlay alongside your own structure, entries, and risk framework. ⚠️ When NOT to Use - In very low-liquidity symbols or sessions, where swing points and pools are unreliable. - In extremely noisy or news-driven conditions, where levels are violated erratically. - As a standalone entry trigger, or in isolation from market structure and risk context. - On data with large gaps or thin history, where pool detection has too little to work with. 🎛️ Key Inputs - Swing Strength: how strong a swing must be to qualify as a pool. Higher keeps only major swings. - Pool Memory: how many recent swings are retained per side. - Equal Level Tolerance: ATR width for grouping nearby levels into an equal-highs or equal-lows cluster. - Use Prior-Period Pools: includes the adaptive prior-period high and low as pools. - Trend Backbone EMA and Slope Bars: define the directional context weighting. - Premium-Discount Range: lookback for the dealing range that drives the range-position factor. - Max Draw Distance, Pool Freshness Window: shape how distance and age affect the score. - Active Bias Score and Balanced Gap: thresholds for an active lean versus a balanced read. - Visual, label, and panel controls: side lines, badge, target tag, pool map, label density, panel location, theme, and font size. 🖥️ Interface & Visual Design The panel is the primary readout, leading with the leaning state and 0-100 score, then primary draw, pool type, premium-discount range, flip level, and a concise action line. On the chart, visual hierarchy favors the leaning side: it is solid and emphasized, while the opposite side stays faint. Labels are kept moderate and strictly alternating so the chart reads cleanly at a glance. Panel location, theme, and font size are adjustable; the panel is shown by default for readability. 🧪 Practical Usage Workflow 1. Read the panel: note the leaning state and the bias score. 2. Check the primary draw and the flip level: where is the weighted draw, and what would invalidate the read. 3. Read the premium-discount range line: is price in discount or premium, and how far is the draw in ATR. 4. Confirm with your own market structure, higher-timeframe context, and risk framework before any decision. 🔍 Interpretation Guidelines Think of the lean as a weighted opinion about the two-sided liquidity picture, not a forecast. A higher score means the factors agree more strongly; a moderate score or a Balanced state means the picture is mixed and patience is warranted. The flip level is a structural reference, not a hard line. Always interpret the lean inside the broader market context rather than in isolation. 🚫 What This Script Is NOT - It is NOT a prediction engine and does not forecast price direction. - It is NOT financial advice or a recommendation to buy or sell. - It is NOT an automated trading system. - It does NOT produce guaranteed signals or outcomes. ⚠️ Limitations & Transparency Outputs depend on detected swing structure and may differ across timeframes and symbols. Volatility, liquidity, and changing market conditions affect how pools form and how they are taken. Prior-period pools rely on higher-timeframe data and shift as new periods print. The tool describes current structure; it cannot know the future, and any level can be exceeded or fail to be reached. 🧠 Market Context Notes Liquidity tends to rest where many participants place stops and pending orders: above equal highs, below equal lows, and around prior-period extremes. In an uptrend, price in discount often leans toward the buy-side draw above; in a downtrend, price in premium often leans toward the sell-side draw below. This engine encodes that two-sided logic into a single read, but market context always has the final word. 🧾 Use Case Examples - Price is in discount within its range, trend is up, and the nearest buy-side pool is a prior-week high: the engine shows a Buy-Side Lean with the prior-week high as the primary draw. - Price is in premium, momentum is fading, and equal lows rest below: the engine may show a Sell-Side Lean with those equal lows as the primary draw and a high above as the flip level. - Both sides score closely: the engine reports Balanced, signaling an unresolved two-sided picture. 🧱 System Philosophy This tool reflects the AGPro Series approach: convert a familiar but messy concept into a calm, structured, decision-support read. Liquidity is everywhere on a chart; the value is in organizing it into a single, honest lean that respects the trader's own judgment rather than replacing it. 🔐 Non-Promise Statement This script makes no promise of profit, accuracy, or any specific result. It is an analytical and organizational tool. No certainty is offered or implied. 📉 Risk Disclosure Trading involves substantial risk, and most participants can lose money. This script is provided for educational and analytical purposes only and does not constitute financial advice. All decisions, positions, and outcomes remain entirely your own responsibility. Always manage risk and trade within your own plan. 📚 Educational Note Used as intended, the engine can sharpen how you think about two-sided liquidity: where it rests, which side is weighted, and what would change the picture. Treat it as a lens for structured analysis, and keep building your own market understanding alongside it.
Indikator Pine Script®
oleh AGProLabs
3
Polaris VWAP Mesh [JOAT]Polaris VWAP Mesh Polaris VWAP Mesh tracks four anchored VWAPs simultaneously — Session, Swing-High pivot, Swing-Low pivot, and Previous-Day-Open — and detects pairwise confluence whenever two or more of them are within an ATR-scaled proximity of each other. Each VWAP carries a plus-or-minus 1-sigma deviation band. Confluence zones become full-chart-width persistent bands. A multi-anchor bias score counts how many VWAPs price is currently above. What makes it different Most VWAP scripts plot a single anchor (session or daily). Polaris simultaneously runs four independent anchored-VWAP engines and surfaces their interactions as confluence zones. Confluence detection uses an ATR-scaled proximity threshold rather than a fixed percentage, so it adapts to the instrument's volatility automatically. A multi-anchor bias counter aggregates the four VWAPs into a single 0-to-4 score. Full-chart-width tints apply when three or more VWAPs are above (or below) the close. Swing-anchored VWAPs reset at confirmed pivot points and start fresh from the moment of pivot confirmation (forward-only, non-repainting). The Previous-Day-Open VWAP is anchored to the open of the prior daily bar so it captures yesterday's reference. A pairwise distance matrix is displayed in plain text at the right edge — six pair distances, with the two tightest pairs highlighted. How it works An anchored VWAP function maintains three cumulators per anchor — price-times-volume, volume, and price-squared-times-volume — to deliver both the VWAP and its rolling standard deviation since the anchor. Anchor reset conditions: Session start of the user-defined session window. Swing-High on confirmed ta.pivothigh. Swing-Low on confirmed ta.pivotlow. Previous-Day-Open on ta.change(time("D")), capturing the open of the new day, then locking after a day passes. Pairwise distance check: for each of the six possible pairs, if the absolute distance between VWAPs is less than proximityThreshATR times ATR(14), an active confluence is flagged. The mid-price between the two VWAPs becomes the confluence level. Multi-anchor bias counts how many of the four VWAPs the close is above. Reading the chart Four VWAP lines, each in its own color (session blue, swing-high red, swing-low mint, prev-day-open purple, all user-configurable). Plus-or-minus 1-sigma deviation band shading per VWAP. Full-chart-width confluence zones (persistent bordered boxes) at each active confluence level, with right-edge labels naming the contributing pair. Anchor reset markers: small vertical lines per anchor at the bar of reset (capped at 20 per anchor type). A multi-anchor bull / bear bgcolor tint (very faint) when three or more VWAPs are on one side of the close. Iridescent candle recolor by bull-count. Right-edge VWAP labels with plus-or-minus sigma deviation tags. Pairwise distance matrix label cluster. Anchor-age label cluster. Bias-flip timeline labels and VWAP-cross event labels. Signals Bull / bear VWAP cross (any anchor) Session VWAP bull / bear cross (dedicated alerts) Previous-Day-Open VWAP bull / bear cross (dedicated alerts) Confluence touch (price entered an active confluence zone) Multi-anchor bull / bear bias activation All gated on barstate.isconfirmed or barstate.ishistory. No future references. Inputs Anchors : session window string, swing pivot length. Bands : standard deviation multiplier, band shading toggle. Confluence : proximity threshold in ATR units, confluence zones toggle. Visuals : bullish / bearish colors, per-anchor color overrides, per-anchor visibility toggles, candles, labels. Dashboard : position, size. How traders use this Confluence trading : confluence zones are price magnets. Reactions to them (touches with rejections) are tradable. Clean breaks through with volume can be trend signals. Multi-anchor bias : when three or four of the four VWAPs are on the same side of price, the trend is well supported across multiple anchors. Counter-trend trades in this regime are lower probability. VWAP rotation : the previous-day-open VWAP is a frequently respected institutional reference. Crosses of it often coincide with bias shifts. Plus-or-minus 1-sigma bands : extensions to plus-or-minus 1 sigma from a fast-moving anchor often coincide with short-term mean-reversion zones. Limitations Swing-anchored VWAPs begin tracking only after pivot confirmation, so they lack history before that pivot was confirmed. This is by design (non-repainting), not a bug. The session VWAP requires the user to set a session window matching the instrument's primary trading window. The pairwise confluence test is O(1) per bar (six pairs). Confluence zones extend across the chart and use persistent box objects. They are capped at six active zones (the maximum number of pair combinations). Confluence is a price-coincidence test, not a flow-direction test. Use other tools to gauge directional bias once confluence is identified. Compatibility Pine Script v6 open-source indicator (overlay). Any symbol with volume data. Designed for sessions in America/New_York by default. Change the session window for other markets. No request.security calls. Defaults 0930-1600 EST session window, 10-bar pivot length, 0.5x ATR proximity threshold, mint / red brand colors plus blue / red / mint / purple anchor accents, top-right medium dashboard.
Indikator Pine Script®
oleh officialjackofalltrades
Body Length Bias================================================================ BODY LENGTH BIAS — INDICATOR DESCRIPTION ================================================================ 🇬🇧 ENGLISH ---------------------------------------------------------------- Body Length Bias is a directional pressure indicator that measures the accumulated percentage movement of bullish and bearish candles over a defined lookback period, revealing which side — buyers or sellers — has exerted more real force on price. WHAT IT CALCULATES ------------------ For each candle in the last X bars, the indicator calculates the body movement as a percentage relative to the open price: |close - open| / open * 100 It accumulates that percentage separately for bullish candles (close >= open) and bearish candles (close < open). The side with the higher total percentage is considered the dominant force. WHAT IT SHOWS ------------- A fixed label in the bottom-right corner of the chart displays: - Current bias: BULLISH or BEARISH - Accumulated percentage for each side - Number of candles being analyzed Background and text colors are fully customizable. HOW TO USE IT ------------- Trend filter: Only look for long setups when bullish % > bearish %, and short setups when bearish % > bullish %. Avoid trading against the dominant side. Range detection: When both values are nearly equal (e.g. 50/50), the market is in consolidation. No directional bias is present — wait for a breakout. Exhaustion reading: If one side has dominated for many candles but the gap is closing, directional pressure is fading — a reversal may be forming. Multi-timeframe confluence: Apply the indicator on H4, H1, and 15m simultaneously. When all three align in the same direction, confluence is at its highest. WHAT IT DOES NOT DO ------------------- This indicator does not generate entry signals. It is a contextual bias tool designed to be used alongside structural analysis, key levels, and volume. It works best in trending conditions and loses reliability in tight sideways ranges. ================================================================ 🇪🇸 ESPAÑOL ---------------------------------------------------------------- Body Length Bias es un indicador de presión direccional que mide el movimiento porcentual acumulado de las velas alcistas y bajistas durante un período definido, revelando qué lado — compradores o vendedores — ha ejercido mayor fuerza real sobre el precio. QUÉ CALCULA ----------- Por cada vela de las últimas X barras, el indicador calcula el movimiento del cuerpo como porcentaje respecto al precio de apertura: |close - open| / open * 100 Ese porcentaje se acumula por separado para las velas alcistas (close >= open) y las bajistas (close < open). El lado con mayor porcentaje total es considerado la fuerza dominante. QUÉ MUESTRA ----------- Un cartel fijo en la esquina inferior derecha del gráfico muestra: - Sesgo actual: BULLISH o BEARISH - Porcentaje acumulado de cada lado - Número de velas analizadas El color de fondo y el color del texto son completamente configurables. CÓMO USARLO ----------- Filtro de dirección: Busca solo largos cuando alcista % > bajista %, y solo cortos cuando bajista % > alcista %. Evita operar contra el lado dominante. Detección de rango: Cuando ambos valores están casi igualados (ej. 50/50), el mercado está en consolidación. No hay sesgo direccional — espera una ruptura. Lectura de agotamiento: Si un lado ha dominado durante muchas velas pero la diferencia se está cerrando, la presión direccional se está agotando — puede estar formándose un giro. Confluencia multi-timeframe: Aplica el indicador en H4, H1 y 15m simultáneamente. Cuando los tres apuntan en la misma dirección, la confluencia es máxima. QUÉ NO HACE ----------- Este indicador no genera señales de entrada. Es una herramienta de sesgo contextual diseñada para usarse junto con análisis estructural, niveles clave y volumen. Funciona mejor en condiciones de tendencia y pierde fiabilidad en rangos laterales ajustados. ================================================================
Indikator Pine Script®
oleh BullBearSR
Range Percentile BiasRange Percentile Bias with Transition Highlights Range Percentile Bias with Transition Highlights is designed to evaluate where current price sits within a historical price range and translate that positioning into an easy-to-read directional bias framework. Rather than using traditional trend or momentum calculations, this indicator analyzes the current price location relative to the highest high and lowest low over a user-defined lookback period. The goal is to provide a quick assessment of whether price is trading near the lower, middle, or upper portions of its recent range and classify that positioning into market bias categories. Built from the functionality and logic contained within your indicator. Features • Configurable lookback range period • Percentile-based bias classification • Adjustable bullish and bearish threshold levels • Neutral zone customization • Transition highlight system • Lookback high and low visual references • Dynamic summary table • Table position customization • Table size customization • Custom color settings • Transition alerts Bias States 🟢 Very Bullish Price is positioned near the upper extreme of the recent range. 🟢 Bullish Price is trading within stronger bullish territory. 🟢 Slightly Bullish Price shows moderate bullish positioning. ⚪ Neutral Price remains within the defined balanced range. 🔴 Slightly Bearish Price begins showing weaker relative positioning. 🔴 Bearish Price moves toward stronger bearish territory. 🔴 Very Bearish Price is positioned near the lower extreme of the recent range. Transition Highlights The indicator can visually highlight changes between larger market states: 🟨 Bullish → Neutral 🟩 Neutral → Bullish 🟧 Bearish → Neutral 🟥 Neutral → Bearish 🟪 Bullish → Bearish 🟦 Bearish → Bullish These transitions are intended to make shifts in market behavior easier to identify without constantly monitoring percentile values. Summary Table Includes • Current Bias • Current Range Percentile Potential Use Cases • Identify relative market positioning • Determine bullish or bearish context • Monitor changing market conditions • Filter trade setups • Identify transition periods • Add confluence to existing systems • Study range behavior over time Settings Guide High/Low Lookback Period Controls how many historical bars are used to define the current range. Current Price Source Determines which price value is used for calculations. Bias Percentile Levels Controls where bullish, bearish, and neutral zones begin and end. Neutral Zone Defines the balanced area between bullish and bearish conditions. Transition Highlights Displays visual highlights when larger market state changes occur. Table Position / Text Size Adjusts dashboard placement and readability. Alerts Included • Very Bullish Bias • Bullish Bias • Slightly Bullish Bias • Neutral Bias • Slightly Bearish Bias • Bearish Bias • Very Bearish Bias • Bullish → Neutral Transition • Neutral → Bullish Transition • Bearish → Neutral Transition • Neutral → Bearish Transition • Bullish → Bearish Transition • Bearish → Bullish Transition About TrendGenY Indicators TrendGenY indicators are built from market experience, creative concepts, and a constant pursuit of unique perspectives. Rather than following conventional ideas, the focus is on uncovering alternative insights and viewing market behavior through different angles to reveal information that traditional tools may overlook and help traders build a more meaningful edge in the market.
Indikator Pine Script®
oleh TrendGenY
Session Liquidity Atlas [JOAT]Session Liquidity Atlas Introduction SLA Session Liquidity Atlas is an open-source session context indicator built to map the active trading session, opening range, prior-session liquidity, confirmed sweeps, and confirmed opening-range breaks in one clean overlay. The problem it solves is session context. A breakout above the opening range means something different when the prior-session high was just swept, when the session range is compressed, or when price is still trapped inside the opening band. SLA organizes those reference points into a readable liquidity atlas with a top-right dashboard and restrained dark-mode chart shading. Core Concepts 1. Active Session Range The indicator tracks the selected session's open, high, low, close, bar count, and live range. The session band updates during the active window and freezes naturally when the session ends. 2. Opening Range The opening range is built from the first configurable number of session minutes. Confirmed closes above or below the opening range define bullish or bearish break events. 3. Prior-Session Liquidity Prior-session high and low are projected forward as liquidity reference levels. A sweep is confirmed only when price trades through a prior level but closes back inside it on a confirmed bar. 4. Confirmed Bias State Bias updates from opening-range breaks and mature sweep states. All official events use confirmed bars, avoiding realtime-only signals being mistaken for final signals. 5. Visual System The overlay uses transparent session bands, opening-range shading, prior-session reference lines, and a compact dashboard. No arrows or retail-style marker clutter are used. Features Session range band: Tracks live high and low of the selected session Opening range band: Displays the early-session decision range Prior-session liquidity levels: Projects prior high and low as reference lines Confirmed sweep detection: Detects high/low sweeps only after bar close Confirmed opening-range breaks: Break events require closed-bar confirmation Bias tinting: Background gently reflects current bullish, bearish, or neutral state Top-right dashboard: Shows session status, bias, sweep state, breakout state, range, OR/session ratio, and body balance Alert conditions: Includes confirmed alerts for sweeps and opening-range breaks Input Parameters Session: Primary Session: Session window used by the atlas Opening Range Minutes: Number of minutes used to build the opening range Sweep Hold Bars: Bars required before a sweep state matures into bias context Visual: Show Session Band Show Opening Range Band Show Prior Session Liquidity Tint Background On Bias Line Width and transparency controls How to Use Step 1: Read the dashboard bias and session status. Step 2: Watch whether price is inside or outside the opening range. Step 3: Treat prior-session high and low as liquidity reference levels, not guaranteed reversal points. Step 4: Use confirmed sweeps and confirmed opening-range breaks as context for another entry model or discretionary plan. Limitations Opening-range logic depends on the selected session and chart timeframe A sweep can fail and continue beyond the prior level The indicator is a context layer, not a complete trading system Signals confirm only after the bar closes, so they intentionally appear after the event candle is complete Originality Statement SLA is an original JOAT implementation combining session range logic, prior-session liquidity sweeps, opening-range breaks, and a compact state dashboard into one transformed Pine Script v6 overlay. It is not a copy of any source script. Disclaimer This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management. Made with passion by jackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Quant Synthesis Strategy [JOAT]Quant Synthesis Strategy Introduction QSS Quant Synthesis Strategy is an open-source TradingView strategy that integrates regime detection, higher-timeframe bias, confirmed structure, session opening-range context, volume participation, trend energy, ATR exits, cooldowns, and session risk controls. The strategy is designed as a realistic research baseline, not an optimized profit promise. Its purpose is to demonstrate how the JOAT indicator concepts can be combined into a non-repainting strategy framework with explicit risk management. Core Concepts 1. Market Regime Detection The regime model uses EMA spread, ADX from DMI, and ATR percentage context to classify Trend, Expansion, Balance, or Transition. 2. Higher-Timeframe Bias The strategy requests higher-timeframe EMAs with lookahead disabled. Long bias requires the HTF fast EMA above the slow EMA with positive slope; short bias is mirrored. 3. Confirmed Structure Pivot-based structure checks whether recent highs and lows form bullish or bearish structure. Pivot confirmation is delayed by design to avoid repainting. 4. Session Opening Range The strategy tracks a configurable trading session and opening range. Entries can require session context so trades are not taken randomly outside the selected window. 5. Risk and Exits Position size is estimated from a percentage of equity and ATR stop distance. Exits include ATR stop, ATR target, maximum bars in trade, regime/bias exit, cooldown, and session flattening. Features Regime engine: Trend, Expansion, Balance, and Transition classification HTF bias filter: Uses non-lookahead request.security() higher-timeframe EMAs Confirmed structure filter: Pivot-based bullish/bearish structure state Session opening range: Optional session context for entries Volume participation filter: Uses volume z-score and directional volume Confluence score: Separate long and short scores gate entries ATR exits: Stop loss and take profit scale with volatility Risk controls: Risk percent, cooldown, max entries per session, max bars in trade, and session flattening Visuals: EMA cloud, opening-range lines, stop/target plots, and top-right dashboard Default Strategy Properties Initial capital: 100000 Commission: 0.01 percent Slippage: 1 tick Pyramiding: 0 Order processing: process orders on close Position sizing: fixed quantity calculated internally from risk settings How to Use Step 1: Select a market and timeframe with enough historical data. Step 2: Review the dashboard regime and HTF bias before interpreting trades. Step 3: Adjust risk percent, ATR stop, ATR target, cooldown, and session settings conservatively. Step 4: Evaluate results across multiple symbols and timeframes. Avoid optimizing only one market segment. Limitations Backtest results are historical simulations and do not guarantee future performance More trades can increase sample size but can also increase noise and transaction costs Pivot confirmation creates intentional signal delay Strategy results depend on symbol liquidity, timeframe, session settings, slippage, and commission assumptions The strategy is a research framework, not a recommendation to trade Originality Statement QSS is an original JOAT strategy framework that integrates regime detection, HTF bias, structure, session context, volume participation, and ATR risk management into one non-repainting Pine Script v6 strategy. Disclaimer This strategy is for educational and informational purposes only. It is not financial advice and does not guarantee profitability. Trading involves substantial risk of loss. Historical backtests can be inaccurate or misleading if assumptions do not match live execution. Made with passion by jackofalltrades
Strategi Pine Script®
oleh officialjackofalltrades
Regime Execution Strategy [JOAT]Regime Execution Strategy Introduction Regime Execution Strategy is an open-source TradingView strategy that integrates adaptive forecast context, extreme-channel state, trend pressure, relative volume, and EMA structure into a single rule-based execution model. The strategy is designed to be realistic, non-repainting, and readable rather than curve-fit to one symbol. The problem it solves is trade filtering. A single signal source can trigger too often in poor conditions. Regime Execution Strategy requires multiple independent votes before entries are allowed, then uses ATR-based stop and target logic for consistent risk framing. Core Concepts 1. Adaptive Forecast Bias The strategy estimates a dynamic mean and band structure. Price above or below the adaptive mean contributes to directional bias. 2. Extreme Channel Bias Persistent upper and lower channel levels define a midpoint and directional state. The channel contributes a second independent vote. 3. Pressure and Structure Gate Momentum, pullback location, and fast/slow EMA structure contribute to the regime score. A minimum vote count and relative-volume filter are required before entry. longSignal = barstate.isconfirmed and bullVotes >= voteThreshold and bullRegime and (longBreakout or longReclaim) 4. ATR-Based Risk Management Stops and targets are derived from ATR and position average price. The strategy also includes max drawdown and max intraday filled order risk controls. Features Integrated regime detection: Forecast, channel, pressure, and EMA structure combine into a regime score Multi-vote entry logic: Entries require several independent components to align More active defaults: Default RVOL and regime thresholds are permissive enough to participate across many timeframes ATR stop and target: Risk is framed with volatility-adjusted exits Bias-flip exits: Positions can close when the opposing regime gains enough votes Risk controls: Max drawdown and max intraday filled orders are included Overlay visuals: Forecast bands and adaptive channel context can be displayed on chart Top-right dashboard: Regime, score, pressure, RVOL, votes, position, band width, and setup Alerts: Long and short setup events Input Parameters Forecast: Source, Forgetting Factor, Regression Horizon, Band Multiplier, ATR Blend, and Rebase Interval Regime: Fast EMA and Slow EMA: Trend structure references Pressure Length: Momentum and pullback window Pressure Threshold: Minimum pressure vote threshold Min RVOL: Participation filter Min Votes: Minimum number of aligned components for entries Risk: Stop ATR: Stop distance multiplier Target ATR: Target distance multiplier Max Drawdown %: Strategy risk halt setting Max Intraday Filled Orders: Limits daily trade frequency How to Use This Strategy Step 1: Read the dashboard regime before judging entries. Step 2: Use votes and pressure to understand why a setup qualified. Step 3: Review stop and target settings for the symbol and timeframe being tested. Step 4: Evaluate results across multiple markets and date ranges, not one optimized window. Strategy Limitations This strategy is not optimized for a specific symbol or timeframe More active defaults can increase trade count and also increase exposure to choppy periods Backtest fills are simulated by TradingView and may not match live execution All entry signals use confirmed-bar logic, so entries can occur after the intrabar move has begun Strategy performance should be evaluated with realistic commission, slippage, and position sizing Originality Statement Regime Execution Strategy is original in its integration of adaptive forecast bias, extreme-channel state, pressure voting, relative volume gating, EMA structure, ATR exits, and dashboard reporting into one open-source strategy. It does not copy third-party source code. Disclaimer This open-source strategy is for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. Backtested results do not predict future performance. Trading involves substantial risk, and users are responsible for their own risk management. -Made with passion by jackofalltrades
Strategi Pine Script®
oleh officialjackofalltrades
Adaptive Forecast Bands [JOAT]Adaptive Forecast Bands Introduction Adaptive Forecast Bands is an open-source adaptive regression and mean-reversion framework. It estimates a live fair-value path from price, wraps that path in volatility-aware bands, and marks confirmed re-entry conditions only after the bar closes. The problem this indicator solves is context around stretched price. A static moving average band can lag badly when volatility changes. Adaptive Forecast Bands uses a recursive regression engine, a live model error estimate, and an ATR blend so the envelope expands and contracts with current market behavior. Core Concepts 1. Adaptive Regression Mean The centerline is built from a persistent two-parameter regression state. The script uses normalized local time so the model does not depend on raw bar index growth over long histories. forecastMean = beta0 + beta1 * xNorm forecastErr = source - forecastMean 2. Error-Based Confidence Bands Band width is derived from the model's exponentially weighted error plus an ATR component. This keeps the band reactive to both forecast error and realized volatility. 3. Confirmed Re-Entry Signals The script arms a long or short setup when price reaches an outer band. A signal only prints when price confirms a re-entry back through the relevant band on `barstate.isconfirmed`. 4. Forecast Guide Lines The right-edge guide projects the current regression slope forward for visual context. It is a guide, not a prediction, and is redrawn on the last bar to avoid object clutter. Features Adaptive fair-value line: Recursive regression centerline based on current price behavior Volatility-aware envelope: Error variance and ATR combine to form dynamic upper/lower bands Confirmed long/short labels: Re-entry signals use closed-bar logic Right-edge forecast guide: Dashed and dotted guide lines show current slope context Top-right dashboard: Bias, confidence, band width, slope, guide state, and signal state Alert conditions: Long and short confirmed re-entry events Input Parameters Model: Source: Price source used by the model Forgetting Factor: How quickly the model adapts to new price information Regression Horizon: Normalization horizon for the regression slope Band Multiplier: Multiplier applied to model error ATR Blend: Extra realized-volatility padding in the band width Rebase Interval: Periodic reset to keep the adaptive model stable How to Use This Indicator Step 1: Use the centerline as an adaptive fair-value reference. Step 2: Treat outer-band touches as stretched conditions, not immediate entries. Step 3: Wait for confirmed re-entry labels when enabled. Step 4: Read the dashboard confidence and slope before interpreting the signal. Indicator Limitations The right-edge guide is a visualization of current model slope, not a forecast guarantee Mean-reversion signals can underperform during strong directional trends The model periodically rebases by design to reduce long-history numerical drift Signals are confirmed on closed bars and can appear after the intrabar extreme occurred Originality Statement Adaptive Forecast Bands is an original JOAT implementation combining normalized recursive regression, error-based confidence bands, ATR blending, confirmed re-entry logic, and a compact interpretive dashboard. It does not copy third-party source code. Disclaimer This open-source indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves risk, and historical behavior does not ensure future results. Always use proper risk management. -Made with passion by jackofalltrades
Indikator Pine Script®
oleh officialjackofalltrades
Crown Structure Ledger [JOAT]Crown Structure Ledger Introduction Crown Structure Ledger is an open-source market structure ledger built to classify price through three structural horizons at the same time: short-term, intermediate-term, and primary-term. Instead of reducing structure to a single swing model, this script maintains separate rails for each horizon so users can see where local repricing, intermediate repricing, and larger campaign structure are currently positioned. The indicator is designed to solve a common chart-reading problem: Traders often know price is moving, but they do not know whether the move is merely a short-term impulse inside a larger range, an intermediate continuation, or a genuine primary expansion. Crown Structure Ledger addresses that by combining: confirmed pivot structure active break state tracking adaptive ATR corridors EMA trend context volume-pressure bias scoring state-based candle coloring forward structure projection a top-right institutional dashboard The output is intentionally visual but restrained. Instead of cluttering the chart with excessive markers, the script emphasizes live structural rails, shaded corridors, confirmed state transitions, and a dashboard that summarizes the current condition of each structural layer. Core Concepts 1. Three-Horizon Structure Mapping The script confirms three separate pivot systems using different left/right lengths. This creates a short-term layer for local impulse, an intermediate layer for swing control, and a primary layer for broader directional structure. Each confirmed pivot updates its own active rail instead of overwriting the other layers. 2. Confirmed Break Logic Break states are only recognized on confirmed bars. This means the script does not react to intrabar spikes through a level. A structural state changes only when price closes through a live rail beyond a small corridor allowance. 3. Adaptive Structure Corridors Every rail is wrapped in an ATR-based corridor. When adaptive depth is enabled, the corridor expands or contracts according to volatility conditions so the structure model stays usable across slow and fast environments. 4. Pressure-Weighted Bias The indicator includes a directional pressure score based on up-volume versus down-volume across a configurable window. That pressure score is combined with EMA orientation and structure state to create a bias color system rather than a binary trend flag. 5. Forward Projection Current structural rails can be extended forward so the user can see where the next important structural interaction is likely to occur without manually drawing continuation levels. Features Three structure horizons: short, intermediate, and primary rails tracked independently Adaptive structure corridors: live ATR-based zones around active rails Confirmed structural transitions: break states only update on confirmed bars Break labels: optional state labels appear when a new structural expansion or compression is confirmed EMA trend filter: fast and slow EMA alignment supports the structure interpretation Volume-pressure bias model: directional pressure is estimated from relative up-volume and down-volume Bias cloud: optional background cloud reflects broader directional control Candle coloring: bars can be colored from bearish to bullish using a gradient-like bias response Forward corridor projection: active rails can extend to the right edge of the chart Institutional dashboard: top-right summary of structure state, bias, pressure, and live rail context Input Parameters Structure Engine Short Pivot Length Intermediate Pivot Length Primary Pivot Length Structure Corridor ATR Adaptive Corridor Depth ATR Length Bias Filter Fast EMA Slow EMA Pressure Window Color Candles Show Structure Cloud Show Structure Rails Show Break Labels Visual System Show Short Term Show Intermediate Term Show Primary Term Show Forward Corridor Forward Corridor Bars Dashboard Position Dashboard Size How to Use This Indicator Step 1: Read the Three States Separately Start by checking whether short-term, intermediate-term, and primary-term structure agree. When all three align, the chart is in a cleaner directional condition. When they diverge, the market is often transitioning or rotating. Step 2: Watch the Active Rails The live rails mark the current structural boundaries that still matter. These are the levels price must reclaim or lose to produce a confirmed structural update. Step 3: Use the Corridors, Not Just the Line The corridor around a rail is intentional. It helps avoid overreacting to shallow level breaches in noisy conditions. Step 4: Read the Bias Cloud and Candle Tone Together If candle color, pressure bias, and the structure cloud all point in the same direction, the chart context is stronger than a single rail break by itself. Step 5: Use the Dashboard as a Summary, Not a Shortcut The dashboard is there to reduce scanning time. It is best used as a summary of what the rails are already showing visually. Indicator Limitations Pivot-based structure confirms after the configured right-side bars complete, so signals are intentionally delayed for non-repainting behavior Very aggressive settings can make the short-term layer overly sensitive on low-quality markets In prolonged compression, structure may appear stable while directional follow-through remains weak The indicator explains current structure; it does not guarantee continuation after a break Originality Statement Crown Structure Ledger is built around a layered structure ledger rather than a single swing map. Its distinguishing value comes from maintaining three live structure horizons with adaptive corridors, pressure-aware bias scoring, forward projection, and a dashboard that keeps the chart readable while still exposing the full state of the engine. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and should not be treated as a recommendation to buy or sell any financial instrument. All structural readings are derived from historical price and volume data and can fail in abnormal market conditions. Always use independent judgment and risk management.
Indikator Pine Script®
oleh officialjackofalltrades
Aureate Market Architecture Strategy [JOAT]Aureate Market Architecture Strategy Introduction Aureate Market Architecture Strategy is an open-source TradingView strategy that integrates regime classification, structure bias, breakout pressure, liquidity confirmation, and risk management into one confirmed-bar execution model. The strategy is built for users who want a rules-based implementation of the broader JOAT architecture rather than a single-indicator signal stream. Its design goal is not to maximize trade count. Its design goal is to trade only when multiple independent conditions agree: the market is in an expansion-permitted regime structure bias supports direction pressure is strong enough to justify participation liquidity context confirms the move risk and daily drawdown constraints allow a new position This produces a strategy that is intentionally selective and explicitly non-repainting. Core Concepts 1. Regime Detection The strategy classifies the market into accumulation, expansion, or exhaustion using ATR behavior, balance width, and normalized breakout pressure. A persistence requirement prevents the regime state from flipping too quickly. 2. Structure Bias Filter Directional participation is gated by confirmed medium-term structural breaks, EMA orientation, and price location relative to the fast EMA. An optional higher-timeframe bias filter can be added using completed higher-timeframe candles only. 3. Pressure Confirmation Breakout pressure is derived from a composite of multiple ROC windows and smoothed into an adaptive signal. The strategy does not permit entries unless that signal exceeds its volatility-adjusted threshold. 4. Liquidity Context The strategy estimates upper and lower liquidity anchors, counts relative touch density, and looks for sweep failure behavior to confirm whether the current move has supportive liquidity context. 5. Risk and Exit Stack Every position uses an initial stop, a take-profit target based on risk multiple, an adaptive trailing component, a daily loss lockout, and a cooldown after exit. Features Three-state regime engine: accumulation, expansion, and exhaustion Persistence logic: regime changes require confirmation across multiple bars Structure bias filter: confirmed BOS logic combined with EMA alignment Optional HTF bias filter: completed higher-timeframe candles only Adaptive breakout pressure: multi-window ROC model normalized by its own volatility Liquidity confirmation: anchor touches, sweep failures, and relative-volume support Long and short entry logic: both directions use the same confirmed-bar architecture Risk management: ATR-based initial stop, target, trailing logic, and daily loss control Cooldown control: prevents immediate re-entry after an exit Dashboard and chart overlays: display current state, active bias, and risk context Default Strategy Properties Initial Capital: 100000 Order Size: 10% of equity Commission Model: Percent Commission Value: 0.01 Pyramiding: 0 Calc On Order Fills: enabled Calc On Every Tick: disabled Input Parameters Regime Engine Regime ATR Length Regime Baseline Length Balance Window Accumulation Volatility Threshold Expansion Volatility Threshold Regime Persistence Bars Structure Bias Short Pivot Medium Pivot Fast EMA Slow EMA Use Confirmed HTF Bias Filter HTF Bias Timeframe Breakout Pressure Fast ROC Medium ROC Slow ROC Macro ROC Pressure Smoothing Pressure Threshold Multiplier Liquidity Context Liquidity Window Sweep Depth ATR Relative Volume Floor Risk Management Initial Stop ATR Take Profit R Multiple Trail ATR Multiple Daily Lockout % Cooldown Bars After Exit How to Use This Strategy Step 1: Treat the Regime as the First Gate The strategy only wants to be active in the expansion state. If the dashboard shows accumulation or exhaustion, the system is designed to be more selective or inactive. Step 2: Check Directional Alignment The cleanest trades occur when structure bias, EMA alignment, pressure, and liquidity all support the same side. Step 3: Respect the Risk Model The stop, target, trail, and daily lockout are part of the strategy logic. They should not be ignored when evaluating results. Step 4: Expect Selectivity This strategy is built to filter aggressively. Users looking for frequent trades may need different settings or a different methodology. Step 5: Evaluate Over Enough Trades No strategy should be judged from a very small sample. Assess it across enough market conditions to understand where the architecture performs well and where it degrades. Strategy Limitations This strategy uses chart-derived liquidity and regime approximations rather than exchange microstructure data Selective filters can reduce trade frequency substantially on some instruments and timeframes Backtest results depend on instrument, timeframe, commission, slippage assumptions, and session behavior Non-repainting logic reduces false signals but can also introduce later entries than predictive systems Originality Statement Aureate Market Architecture Strategy is original in the way it integrates regime state, structural confirmation, normalized pressure, liquidity context, and layered risk controls into one coherent execution model. The purpose of the integration is practical: each component addresses a different failure mode that appears when breakout systems rely on only one dimension of evidence. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee profitability. Backtest outcomes are hypothetical and derived from historical data. Live trading includes slippage, execution variance, and market conditions that can differ materially from historical results.
Strategi Pine Script®
oleh officialjackofalltrades
Trend Bias Oscillator**Trend Bias Oscillator (TBO)** --- The Trend Bias Oscillator tracks where price sits within its current trend — not just whether it's bullish or bearish, but *how far along* it is within that move. It normalizes that position to a clean ±100 scale, so readings are consistent across any instrument or timeframe. When the market is in a bullish structure, the oscillator rises toward +100 as price pushes toward the top of the established range, and pulls back toward zero on retracements. When structure is bearish, it falls toward -100 as price drops, and recovers toward zero on bounces. If price breaks beyond the known range entirely, the oscillator pins at ±100 — a sign of extension. Structure shifts when price closes decisively above a prior swing high (bullish flip) or below a prior swing low (bearish flip). Once flipped, the bias holds until the opposite level is broken — so the oscillator stays on one side of zero for the entire duration of a trend, not just the bar the signal fired on. The optional signal line smooths the raw oscillator, making it easier to spot when momentum is building or fading within the current bias. A widening gap between the histogram and signal line suggests continuation. Compression back toward the line suggests a pause or potential reversal ahead. --- **What makes TBO different** Most oscillators measure momentum or price position in isolation — they have no awareness of whether the market is in a defined trend or not. RSI, Stochastic, and similar tools will oscillate freely regardless of structure, which means a reading of 70 looks the same in a strong uptrend as it does in the middle of a range. TBO is different because the oscillator only activates and measures depth *after* a confirmed structural break. Until price breaks a prior swing high or low with a closed bar, the oscillator stays at zero — explicitly signaling that no defined bias exists. Once a break is confirmed, TBO then continuously measures how deep price has traveled into that trend, using the opposing swing level as its reference point rather than an arbitrary lookback window or moving average. This means TBO doesn't just tell you which direction the market is leaning — it tells you *how committed* it is to that direction at any given moment. A reading compressing back toward zero during an uptrend is a retracement warning. A reading pushing toward +100 is trend continuation. The context is structural, not statistical. There are indicators on TradingView that normalize price within a range, and others that detect market structure breaks. TBO combines both into a single, continuously updated reading — making it a genuinely different tool rather than a variation on existing oscillator formulas. --- **Inputs** **Bars Left** *(default: 20)* How many bars to the left define a swing point. Higher values find bigger, more meaningful swings. Lower values are more sensitive and react faster. **Bars Right** *(default: 5)* How many bars to the right are needed before a swing is confirmed. Lower values confirm faster but can be noisier. This setting also controls how much lag the indicator has — a value of 5 means pivots confirm 5 bars after they form. **Non-Repaint Mode** *(default: on)* Ensures structure bias can only flip on a fully closed bar — a signal triggered intrabar will never fire and then disappear before the candle closes. The oscillator value itself will still update in real time as price moves within the current bar, which is normal and expected. What non-repaint protects is the structural flip — that moment when bias switches from bullish to bearish or vice versa. Turning this off allows real-time bias changes but signals may repaint on unclosed candles. **Show Signal Line** *(default: on)* Toggles the smoothed line over the histogram on or off. **Signal Type** *(default: EMA)* The smoothing method used for the signal line. EMA reacts fastest, SMA is straightforward, WMA weights recent bars more heavily, and RMA (Wilder's) is the smoothest and slowest. Personal preference — try EMA or RMA first. **Signal Length** *(default: 5)* How many bars the signal line looks back over. Shorter values follow the oscillator closely. Longer values produce a smoother line that only moves on sustained shifts. **Signal Color** *(default: blue)* The color of the signal line, adjustable via the color picker. **Signal Line Width** *(default: 1)* The thickness of the signal line. Ranges from 1 to 4. --- **Reference Lines** | Level | What it means | |---|---| | +100 | Price fully extended in bullish structure | | +50 | Price in the upper half of the bullish range | | 0 | No bias established, or structural midpoint | | -50 | Price in the lower half of the bearish range | | -100 | Price fully extended in bearish structure | --- **A few things worth knowing** Swing pivots confirm with a small natural delay — this is intentional and keeps the indicator from repainting. On very choppy or ranging markets, structure will flip frequently and the oscillator will hover near zero. This is the indicator working as designed, not a malfunction — it simply means no clean trend structure exists at that time. Stepping up to a higher timeframe usually clarifies the picture. The oscillator value moving on the live bar is normal behavior and not repainting. Non-Repaint Mode specifically prevents structure bias from flipping until a bar fully closes, ensuring signals are never triggered and then taken back within the same candle.
Indikator Pine Script®
oleh tgregg75
Session Bias Relay Map [AGPro Series]Session Bias Relay Map 🧠 Core Idea Did Asia, London, and New York pass the same bias forward, or did the next session reject the market narrative? 📌 Overview / What it does Session Bias Relay Map is an intraday session-structure tool built to visualize how directional bias moves from one major trading session to the next. The script tracks Asia, London, and New York session ranges, scores each session's directional bias, and classifies whether the active session confirms, conflicts with, or reverses the previous session's narrative. It does not predict price direction, automate trades, or claim that a session handoff must continue. It is a structured visualization and decision-support map for session bias, market narrative, and intraday context. 🎯 Purpose & Design Philosophy Many session tools draw boxes, highs, lows, or kill zones. This script was built to answer a more contextual question: Did the next major session accept the prior session's directional story, or did it break the handoff? The design goal is to help traders read sessions as a relay of market intent instead of isolated time windows. It supports discretionary market reading, session review, and intraday structure analysis. ⚡ Why This Script Is Different Most session indicators focus on time blocks, session highs, and session lows. This script does NOT stop at drawing session boxes. Instead, it evaluates how each session behaves relative to the prior session. It scores bias strength, detects handoff confirmation, identifies conflict, and highlights reversal pressure when the active session builds a strong opposite narrative. ⚙️ Methodology 1. Session Detection The script tracks configurable Asia, London, and New York session windows using the chart symbol's exchange timezone. 2. Session Range Mapping For each session, it records open, high, low, close, midpoint, bar count, and live range behavior. 3. Bias Scoring Session bias is scored using body pressure, close location inside the session range, and optional relative volume confirmation. 4. Relay Evaluation London is compared against the completed Asia bias. New York is compared against the completed London bias. 5. Visual Output The chart displays session boxes, midpoint rails, centered session labels, relay event labels, right-side tags, alerts, and a compact AG Pro decision panel. 🗺️ How to Read the Chart Session Boxes = the active session range built from each configured time window. Centered Labels = the session name, current bias, relay state, and quality score. Midpoint Rails = the middle of each session range, useful for reading control and balance. Relay Event Labels = confirmation, conflict, or reversal events when a later session responds to the prior session. Right-Side Tags = the current relay state and active session bias. Panel = summarizes active session, relay state, bias score, prior session, session quality scores, next context, and timeframe scope. 🚦 Signals & States • RELAY CONFIRMED → the active session supports the previous session's directional bias. • RELAY REVERSAL → the active session builds strong bias opposite to the previous session. • BIAS CONFLICT → the active session does not clearly confirm the previous session. • FIRST LEG → Asia is building the first session bias for the daily relay. • WAIT HANDOFF → the active handoff does not yet have enough evidence. • BULLISH → the session is closing with bullish range pressure. • BEARISH → the session is closing with bearish range pressure. • NEUTRAL → the session does not have enough directional pressure. 🔔 Alerts Logic Alerts trigger when a major relay state appears. • Session Bias Relay Confirmed → the active session confirmed the directional bias passed from the previous session. • Session Bias Conflict → the active session failed to confirm the previous session and is showing conflict. • Session Bias Reversal → the active session built strong bias opposite to the previous session. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The context becomes stronger when: • The previous session has a clear directional bias • The active session has enough bars to evaluate • The active session bias score is above the confirmation threshold • Price closes with clear range position • Relative volume supports participation • The relay label and panel state agree If these elements do not align, the script avoids forcing a strong directional interpretation. 📊 When to Use • Intraday session analysis • Forex, crypto, index futures, and liquid stock index products • Asia-to-London handoff review • London-to-New-York handoff review • Market narrative tracking • Session range and bias studies • 15m, 30m, 1H, and 2H charts ⚠️ When NOT to Use • Daily, weekly, or monthly charts • Very low-liquidity symbols • Markets with irregular or meaningless session windows • Extremely noisy conditions where session closes do not carry useful information • Situations where a single session should not be over-interpreted • Symbols where the chart exchange timezone does not match the intended session model 🎛️ Key Inputs • Asia Session → defines the first session window used to build the initial bias. • London Session → defines the second session window used to evaluate the Asia handoff. • New York Session → defines the third session window used to evaluate the London handoff. • Max Chart TF Minutes → limits the largest timeframe that should build the relay map. • Bias Confirmation Threshold → controls how strong a session must be before it can confirm a relay. • Conflict Threshold → controls when a session is treated as weak or conflicted. • Minimum Handoff Bars → prevents early-session noise from printing premature relay labels. • Use Volume Confirmation → adds relative volume pressure to the bias score. • Show Session Boxes → controls the main visual range boxes. • Show Relay Event Labels → controls confirmation, conflict, and reversal labels. • Label Font Size → controls chart label and tag text size. • Panel Font Size → controls panel text size. 🖥️ Interface & Visual Design The visual hierarchy is built around the session relay story. Session boxes define the time windows. Centered labels make each session readable without hunting through the chart. Relay labels highlight the important handoff moments. Right-side tags keep the current state visible. The AG Pro panel summarizes the active session context in a clean, compact format. 🧪 Practical Usage Workflow 1. Choose session windows that match the market being studied. 2. Let Asia build the first bias leg. 3. Watch whether London confirms, conflicts with, or reverses Asia. 4. Watch whether New York confirms, conflicts with, or reverses London. 5. Use the panel to check relay state, active bias, quality score, and timeframe scope. 6. Interpret the result inside broader market structure, liquidity, and volatility context. 🔍 Interpretation Guidelines A relay confirmation does not guarantee continuation. It means the active session is supporting the prior session's directional bias according to the script's rule set. A relay reversal does not guarantee a full trend reversal. It means the active session is building strong opposite pressure relative to the previous session. A bias conflict is not a failure. It is useful information that the market narrative is not clean. The best use is contextual: combine the relay state with support, resistance, liquidity, volume, and higher-timeframe structure. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not provide guaranteed entry or exit signals. It is not a generic session box indicator. It is not a kill-zone strategy. ⚠️ Limitations & Transparency Session settings matter. Poorly selected session windows can produce weak or misleading context. Timeframe differences can affect how session handoffs appear. Low-liquidity markets can distort bias scores. Markets with irregular trading hours may need custom session inputs. Relative volume can help, but it does not guarantee better interpretation in every market. 🧠 Market Context Notes Session behavior is often shaped by liquidity, regional participation, volatility expansion, and macro timing. The same relay state can mean different things depending on whether the market is trending, ranging, or reacting to news. The script is strongest when used as a narrative map, not as a standalone decision machine. 🧾 Use Case Examples • If Asia builds a bullish range and London also closes with strong bullish pressure, the relay may show confirmation. • If Asia builds bullish pressure but London quickly forms strong bearish pressure, the relay may show reversal. • If London begins with weak movement and no clear range pressure, the relay may show conflict or wait for more evidence. 🧱 System Philosophy Session Bias Relay Map is part of the AGPro Series approach to decision-support tools: clear structure, premium chart readability, honest interpretation, and no promise of certainty. The goal is to help traders see market context faster without turning analysis into signal spam. 🔐 Non-Promise Statement No script can know the future. No session handoff is guaranteed. No signal should be interpreted without broader market context. 📉 Risk Disclosure Trading involves risk. Markets can move unpredictably. This script is for educational and analytical purposes only. It does not provide financial advice or guaranteed trading outcomes. Users remain responsible for their own decisions. 📚 Educational Note Use this script to study how market participation changes across sessions. The value is not only in the label. The value is in learning how the session narrative develops, confirms, conflicts, or reverses over time.
Indikator Pine Script®
oleh AGProLabs
Pymander's EZ Regime FilterPymander's EZ Regime Filter—your new best friend for staying on the right side of the market without overthinking it! We all know the feeling of getting "chopped up" in a sideways market or entering a trade only to realize you're fighting a massive trend on the higher timeframes. This tool is designed to fix exactly that. Here’s the breakdown of how it helps you find those "sweet spot" setups: The "EZ" Engine: It uses a Zero-Lag EMA paired with a volatility filter. This means it stays glued to the price action but filters out the random noise that usually triggers fakeouts. Total Alignment: The script looks at 5 different timeframes simultaneously and gives you a weighted "Regime Score." If the higher timeframes are bearish but your chart looks bullish, the filter stays neutral to keep you out of trouble. Visual Clarity: With the built-in EMA Cloud (50/200) and the real-time MTF Dashboard, you can see the market's health at a single glance. No more clicking through every tab to see what the 1-hour or Daily charts are doing. Smart Signals: When the price, the volatility bands, and the multi-timeframe score all line up, you get an "EZ" signal on your chart. It's all about trading with the wind at your back! We’d love to hear how this fits into your strategy! Grab it, play around with the settings, and give us your feedback so we can keep making it better. Wishing you the best of luck on the charts and many green trades ahead! -Pymander
Indikator Pine Script®
oleh PYMAND3R
Bias Engine ICT ConceptBias Engine - ICT Concept Bias Engine is a market context tool built around ICT (Inner Circle Trader) methodology. It reads directional bias, identifies draw targets, and tracks key liquidity levels across multiple timeframes all displayed in a single compact panel. Most ICT traders manage 4 to 6 separate tools to get the same picture. This indicator consolidates that context into one place. WEEKLY AND DAILY LEVELS Tracks the previous week high/low (PWH/PWL) and previous day high/low (PDH/PDL) with real-time status for each level: Active: level is intact, not yet tested Sweep: price ran through and closed back inside Delivering: price broke and is moving toward the next FVG Liq Grab: price broke without a draw target on the other side Levels update automatically at the start of each new week and day. The weekly range box and equilibrium midpoint (EQ) are drawn on the chart for quick visual reference. FVG AND VOLUME IMBALANCE DETECTION Detects four zone types on the chart: BISI (Bullish FVG): three-candle gap, price leaving upward SIBI (Bearish FVG): three-candle gap, price leaving downward VI+ (Volume Imbalance, bullish) VI- (Volume Imbalance, bearish) All zones track mitigation in real time. When price fills a zone, it converts to an IFVG (Inverse FVG) reference. Zone lookback scales automatically by timeframe or can be set manually. MULTI-TIMEFRAME STRUCTURE Scans four timeframes simultaneously (4H / 1H / 30M / 15M) for: BOS (Break of Structure) CHoCH (Change of Character) MSS (Market Structure Shift) MSS + IFVG confluence Each timeframe votes toward the overall bias direction. The confluence count (e.g. 3/4 or 4/4 in agreement) feeds directly into the confidence score shown in the panel. BIAS ENGINE The core engine evaluates directional bias using FVG-to-FVG path logic. It identifies which zone price is drawing from and which zone it is likely delivering toward next. DELIVERY Direction: Buyside Delivery or Sellside Delivery Confidence: High / Medium / Low Drawing To: the most likely next price target Structure: MSS / CHoCH / BOS with MTF alignment CONFLUENCE MTF agreement across 4H / 1H / 30M / 15M (checkmarks) Reason: plain-language explanation of the bias logic Fill First: nearest opposing zone to rebalance before target Next Target: closest zone in the direction of bias POSITION Whether price is in Discount or Premium relative to weekly EQ Real-time FVG context if price is currently inside a zone SESSION Active killzone and countdown, or next session and time until open PANEL MODES Pro Mode: full output including delivery, confluence, structure, draw targets, and position context. Beginner Mode: simplified view showing session countdown, key levels (Week High/Low, Day High/Low), and plain-language position labels. The bias engine still runs in the background. HOW TO USE Recommended timeframes: 15M or 1H for intraday execution context. Step 1 - Check DELIVERY. This is the current bias direction and how confident the engine is in that read. Step 2 - Check DRAWING TO. This is the most probable target price is moving toward. It prioritizes zones beyond the weekly range over intra-range targets. Step 3 - Check STRUCTURE. Confirms whether a valid MSS or BOS supports the bias. MSS + IFVG is the highest confluence signal. Step 4 - Check POSITION. Confirms whether price is at a logical area to enter relative to the weekly equilibrium. A valid read requires alignment across all four steps. This indicator does not generate buy or sell signals. It provides market context for traders to form their own analysis. SETTINGS Display Panel Mode: Pro / Beginner Panel Position: 6 options Chart Theme: Dark / Light Panel Size: Tiny / Small / Normal Timezone: Auto DST / Manual UTC-4 / Manual UTC-5 Levels Show Weekly Range (PWH/PWL) with previous week option Show Daily Range (PDH/PDL) Show FVG / VI Boxes Show Unmitigated Zones Show Mitigated Zones (IFVG) Zone Lookback: Auto (scales by timeframe) or Manual (30-2000) Colors BISI, SIBI, VI+, VI- colors: fully customizable NOTES Bias Engine is open source under CC BY-NC-SA 4.0 and is intended for educational purposes only. Nothing in this script constitutes financial advice or a recommendation to buy or sell any instrument. The indicator works on any instrument available on TradingView and is primarily optimized for forex majors, gold (XAUUSD), and major indices. Zone lookback is anchored to bar index rather than timestamps, which means the indicator behaves correctly in TradingView replay mode regardless of which historical period you replay to. Despite scanning four timeframes for market structure, the script uses only one request.security() call for the weekly ATR. All other multi-timeframe logic runs within the same security context, keeping the indicator lightweight relative to its feature set.
Indikator Pine Script®
oleh mahirtrade
Statistical Bias [Oracle]WHAT THIS INDICATOR DOES Statistical Bias is a multi-asset, multi-timeframe directional bias engine that determines market direction by analysing reversal and continuation candle patterns across your entire correlated triad. Rather than reading bias from a single chart, it checks whether all three correlated assets agree on direction — and optionally requires alignment across two timeframe levels — before declaring a bias. It then tracks whether that bias was historically correct and displays a running accuracy percentage, giving you a statistical gauge of how reliable the triad's consensus signal has been on your chosen timeframe. This is an analysis and narrative tool. It does not generate buy or sell signals. THE CONCEPTS — WHAT EACH ONE IS AND HOW IT IS CALCULATED Candle-Based Bias Detection The indicator determines directional bias on each asset by analysing how the previous candle interacted with the candle before it. It checks for two types of events: Sweep and reclaim — The previous candle's low swept below the prior candle's low, but then closed back above it. This is a bullish sweep — price took out a low and rejected, indicating buyers stepped in. The bearish equivalent is when the previous candle's high swept above the prior high, but closed back below it.* * Continuation close — The previous candle closed above the prior candle's high (bullish continuation) or below the prior candle's low (bearish continuation). Price committed beyond the previous range entirely. Either condition triggers a bias update. If a bullish sweep or bullish continuation close occurs, the asset's bias is set to bullish. If a bearish sweep or bearish continuation close occurs, it is set to bearish. The bias persists until a new opposing event occurs — it does not reset each candle. This logic runs independently on all three assets in the triad, producing three separate bias readings. Multi-Timeframe Bias Validation The indicator supports two validation modes for each asset's bias: LTF Only — The asset's bias is determined solely from the selected bias timeframe. If the bias timeframe is set to 15m, only 15m candle patterns are analyzed. LTF + HTF — The asset's bias must agree across two timeframe levels. The indicator automatically maps your bias timeframe to the next higher timeframe (1m maps to 5m, 5m to 15m, 15m to 1H, 1H to 4H, 4H to 1D, 1D to 1W, 1W to 1M). The same sweep/reclaim and continuation close logic runs on both timeframes independently. An asset's bias is only confirmed when both timeframes agree on direction. If they disagree, the asset's bias is set to neutral. This means in LTF + HTF mode, a single asset must show the same directional pattern on both the bias timeframe and the timeframe above before its individual bias is considered valid. Triad Bias Consensus After each asset's individual bias is determined, the indicator applies a configurable consensus rule across the triad to produce the final triad bias: Current Asset — The triad bias simply follows whichever asset you are charting. The other two assets are displayed for reference but do not affect the final bias output. Majority — At least 2 out of 3 assets must agree on direction. If two are bullish and one is bearish, the triad bias is bullish. If no majority exists, the bias is neutral. All 3 — All three assets must show the same directional bias. If even one asset disagrees or is neutral, the triad bias is neutral. This is the strictest mode and produces the fewest signals but the highest conviction. The triad bias is the final output — it represents the consensus view of the entire correlated group, not just your single chart. Accuracy Tracking When the bias timeframe matches your chart timeframe, the indicator tracks historical accuracy. On each new bias-timeframe candle, it checks whether the previous triad bias correctly predicted the subsequent candle's direction: A bullish triad bias is counted as correct if the next candle made a higher high than the previous candle. A bearish triad bias is counted as correct if the next candle made a lower low than the previous candle. Neutral bias candles are excluded from the count entirely. The accuracy percentage is displayed in the table as a running total across all historical bars. This gives you a statistical measure of how reliable the triad consensus has been on your specific asset and timeframe combination — not a theoretical backtest, but actual historical performance of the bias logic on your chart. Draw on Liquidity (DOL) When the bias timeframe is different from your chart timeframe, the indicator draws a Draw on Liquidity line showing the expected target level based on the triad bias: Bullish bias — A horizontal line is drawn at the previous bias-timeframe candle's high. This represents the most recent liquidity pool above that the market is expected to draw toward. Bearish bias — A horizontal line is drawn at the previous bias-timeframe candle's low. This represents the liquidity pool below. The DOL line extends forward as long as it has not been reached. Once price trades through it, the line stops extending. This gives you a concrete price target derived from the triad's consensus direction. Bias Table Display A table in the corner of the chart displays the current state of the entire bias system. Two display modes are available: Full mode — Shows a grid with each asset across the top, LTF and HTF bias rows, the final triad bias, and the accuracy percentage. You can see at a glance which assets agree, which timeframes align, and how accurate the consensus has been historically. Compact mode — Shows just the asset names colored by their individual bias direction and the final triad bias. Minimal screen space for traders who only need the bottom-line output. The table updates at the start of each new bias-timeframe candle. HOW THE CONCEPTS WORK TOGETHER These are not independent readings stacked in a table. They form a hierarchical filtering system where each layer narrows the bias output: Candle pattern detection identifies raw direction per asset. Sweep-and-reclaim and continuation close patterns are detected on each of the three triad assets independently. This is the raw signal layer — each asset reports its own directional bias based on how its candles interacted with prior ranges. Multi-timeframe validation filters false signals. In LTF + HTF mode, each asset's bias must be confirmed across two timeframe levels. A 15m bullish sweep that contradicts a 1H bearish pattern gets neutralized. This eliminates bias signals that only exist on a single timeframe — the direction must be consistent across the time structure. Triad consensus filters further. After individual asset biases are validated, the consensus rule determines whether the group agrees. In All 3 mode, every asset must independently arrive at the same directional conclusion through its own candle patterns on its own price data. A bullish bias on NQ means nothing if ES and YM are not also bullish. This cross-asset agreement is the strongest filter — it requires the entire correlated group to show the same directional commitment. Accuracy tracking validates the system. The running accuracy percentage tells you whether this filtering process actually works on your specific asset and timeframe. Rather than trusting the logic theoretically, you can see its historical hit rate directly on your chart. This closes the feedback loop — you are not just following a bias, you know how often that bias has been correct. DOL provides the target. Once the triad agrees on direction, the Draw on Liquidity line gives you a specific price level the market is expected to draw toward. This transforms a directional bias into an actionable target level. The workflow flows from raw candle patterns, through timeframe alignment, through cross-asset consensus, through statistical validation, to a concrete price target. Each layer increases the quality of the output. WHY IS THIS INDICATOR WORTH USING?/b] Without this indicator, building a multi-asset, multi-timeframe statistical bias requires a trader to: Open three charts and manually check whether the previous candle on each asset swept a prior low/high and reclaimed, or closed beyond the prior range Repeat this analysis on the next higher timeframe for each asset to check alignment Mentally aggregate whether the majority or all three assets agree Keep a manual tally of how often this consensus was historically correct Identify and track the DOL level based on the consensus direction This process is tedious and error-prone even for a single timeframe check. Doing it across three assets and two timeframes simultaneously in real time is not practical manually. The indicator automates the full pipeline — independent bias detection on three assets across two timeframes, configurable consensus rules, historical accuracy tracking with a running percentage, and DOL visualization — into a single overlay with a clean table display. Several features are entirely original to this script: Cross-asset sweep/reclaim and continuation close consensus with configurable agreement rules (Current, Majority, All 3) Automatic LTF + HTF alignment validation per asset before consensus is applied Built-in historical accuracy tracking that measures actual prediction performance on the current chart DOL line derived from triad consensus direction rather than single-asset analysis No existing TradingView indicator combines multi-asset candle pattern bias detection, multi-timeframe validation, configurable consensus rules, statistical accuracy tracking, and draw-on-liquidity targeting in a single tool. These features cannot be replicated by combining existing public scripts because they require cross-asset bias comparison logic that single-asset indicators do not have. HOW TO USE IT Add the indicator to your chart. It will automatically detect your asset triad or use your manual configuration. Select your bias timeframe — this is the timeframe on which candle patterns are analyzed. If your chart is 5m and your bias TF is 15m, the indicator checks 15m candle patterns on all three assets. Choose your validation mode — LTF Only for single-timeframe bias, or LTF + HTF for dual-timeframe alignment per asset. Choose your consensus rule — Current Asset for single-asset bias, Majority for 2-of-3 agreement, or All 3 for unanimous consensus. Read the table: each asset shows BULL, BEAR, or neutral. The TRIAD row shows the final consensus output. The ACC row shows historical accuracy. Use the DOL line as your directional target when the triad agrees on bias. Combine with other Quarterly Theory tools — use the triad bias to frame your LTF entries. A bullish triad bias means you look for bullish SSMTs, bullish PSPs, and bullish tCISDs on lower timeframes. AUTO TRIAD The indicator automatically assigns the correct correlated triad based on your chart ticker: Index Futures: NQ / ES / YM (+ micro variants MNQ / MES / MYM) Forex: EURUSD / GBPUSD / DXY Crypto: BTCUSD / ETHUSD / DXY via Kraken For unsupported tickers, manual configuration is available. SETTINGS OVERVIEW Asset Selection — Auto triad toggle, manual ticker inputs for three assets Bias Timeframes — Custom bias TF toggle, bias timeframe selector Bias Logic — Asset validation mode (LTF Only / LTF + HTF), triad consensus rule (Current Asset / Majority / All 3) Visual Output — Table mode (Full / Compact), DOL line toggle Color Customisation — Bullish, bearish, and neutral colours DOL Styling — Line colour, text colour INDICATOR SETTINGS/FILTERS Here is an inside look of how the Statistical Bias looks: DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss. Always use proper risk management and conduct your own analysis. CREDITS Developed by Danielliuks and Bucko. Conceptual framework based on ICT (Michael Huddleston) Open Sourced For all. Enjoy.
Indikator Pine Script®
oleh buckotrades
1
Northsea Auction Map [JOAT]Northsea Auction Map Introduction Northsea Auction Map is an open-source auction-style overlay that builds a rolling or session-anchored profile directly on the chart. It estimates where business has been conducted, where value is concentrated, where activity is thin, and how price is positioned relative to that structure. The problem this script solves is that directional tools alone do not explain where the market is accepting price and where it is rejecting price. Auction context is useful because trend and reversal behavior both depend on where price is trading relative to value. Northsea uses a configurable anchor, builds a profile histogram, derives value area and point of control, approximates delta bias, and summarizes that information in a clean on-chart framework. Core Concepts 1. Session or Rolling Anchoring The script can build its auction map from a live session anchor or from a fixed rolling window. That allows it to serve both intraday session analysis and broader window-based contextual analysis. Session anchoring can use exchange-aware timing or an explicit timezone selection so the profile starts from the intended session definition. 2. Profile Row Construction The chosen anchor range is divided into configurable price rows. Each eligible bar contributes volume into those rows, producing a simplified volume-at-price map. The widest concentration becomes the point of control, while the surrounding rows are expanded outward until the configured percentage of activity defines the value area. 3. Point of Control and Value Area Northsea calculates: POC: the highest-activity row VAH: the upper boundary of the selected value area VAL: the lower boundary of the selected value area These levels are drawn forward on the chart so users can quickly see whether price is trading inside accepted value or outside it. 4. Delta Bias and Node Logic The script derives a directional participation proxy and combines it with profile concentration to estimate whether the current map leans more bid-dominant, offer-dominant, or balanced. It also classifies high-value nodes and low-value nodes using row-level z-score logic so pockets of acceptance and low-participation gaps stand out. 5. Anchored VWAP and Range Context An anchored VWAP and session range lines are drawn alongside the profile. This gives the user both price-distribution context and mean-location context in the same overlay. Features Two anchoring modes: Session Anchor and Rolling Window Flexible session timezone handling: Supports exchange-aware or explicit timezone session anchoring Configurable profile density: Adjustable lookback, row count, width, and offset POC and value area: Automatically derived and extended on the chart HVN and LVN identification: Highlights acceptance nodes and thin areas Anchored VWAP: Adds a fair-value style reference line Session range guides: High, low, and midpoint lines Delta bias proxy: Adds directional auction context Dashboard summary: Anchor bars, range, POC/VWAP, value area, delta bias, location, and balance metrics Input Parameters Anchoring: Anchor Mode Session Window Session Timezone Profile Lookback Profile Rows Value Area Percentage Layout: Right Offset Profile Width Session Range toggle Anchored VWAP toggle Profile Labels toggle Node Summary toggle Node Logic: High-Value Node Z Low-Value Node Z Node Transparency POC Highlight toggle Value Area Highlight toggle How to Use This Indicator Step 1: Locate Price Relative to Value If price is trading inside the value area, the market is operating near accepted value. If price is outside value and not returning quickly, the market may be discovering a new area. Step 2: Compare POC With VWAP The relationship between POC and anchored VWAP can help show whether the bulk of business and the weighted mean price are clustered together or diverging. Step 3: Watch HVNs and LVNs High-value nodes often behave like acceptance shelves. Low-value nodes often behave like traversal zones where price moves more quickly. These are not guaranteed reactions, but they are useful structural references. Step 4: Use the Delta Bias as Context, Not Certainty The delta bias proxy helps describe whether the current map is leaning more bid-side or offer-side. It should be read as auction context rather than treated as direct order-book truth. Indicator Limitations The script approximates auction structure from bar data and does not reconstruct true exchange-level volume at every traded price Profile interpretation depends on the selected anchor; different anchors can produce different maps Thinly traded instruments may generate unstable row distributions Node thresholds are model-based and may require tuning by instrument Originality Statement Northsea Auction Map is original in the way it combines anchored profiling, value-area construction, node classification, delta bias estimation, and anchored VWAP into one restrained overlay. The goal is not to duplicate a platform-native profile panel, but to provide a configurable auction context tool that can travel with the chart and integrate directly with other analytical layers. Disclaimer This script is provided for educational and informational purposes only. It is not financial advice. Profile levels and node classifications are derived from historical bar data and model assumptions, so they can differ from full exchange or footprint tools. Use independent judgment and risk management.
Indikator Pine Script®
oleh officialjackofalltrades
OTE Sweep Signal + MTF Bias + VWAP + DR# OTE Sweep Signal + MTF Bias + VWAP + DR ## Overview A comprehensive intraday trading system that combines four core concepts into one indicator: **Dealing Range (DR) session boxes**, **Optimal Trade Entry (OTE) sweep signals**, **Multi-Timeframe (MTF) bias**, and **VWAP**. Designed for futures traders (NQ, MNQ, ES, MES) but works on any liquid intraday instrument. The indicator automatically identifies when price sweeps liquidity above or below a prior HTF candle's high or low, pulls back into the 50–61.8% retracement zone (the OTE), and fires an entry signal — all filtered by session time, swing structure, range limits, VWAP, and a confirmed Dealing Range bias. --- ## How It Works ### 1. HTF Sweep Detection On each new bar of your chosen Signal Timeframe (default 60m), the indicator locks in the prior candle's high and low as liquidity targets. If price sweeps above the prior high without taking the prior low (bull sweep), or below the prior low without taking the prior high (bear sweep), the sweep is locked in and the OTE zone is drawn. ### 2. OTE Zone Once a sweep is detected, the indicator calculates the retracement zone between the 50% and your chosen OTE level (default 61.8%) of the swept candle's range. When price closes back inside this zone for the first time, an entry signal fires. ### 3. Entry, Stop, BE, and Target - **Entry**: Top of OTE zone (bull) or bottom (bear) - **Stop**: Prior candle high/low OR OTE zone buffer (selectable) - **Break Even (BE)**: HTF candle open price - **Target**: Prior candle H/L, next HTF swing H/L, or a fixed R:R multiplier Each signal draws a label showing all four levels. --- ## Settings Groups ### Timeframe - **Signal Timeframe** — The HTF used to identify sweeps and draw the OTE zone. Default 60m. Works on any intraday TF (5m, 15m, 30m, 60m, 240m). - **Auto Sweep Window** — Automatically sets the window for valid sweeps to 1/3 of the signal TF duration. Turn off to set manually. - **Sweep Window (minutes)** — Manual sweep window when Auto is off. --- ### OTE Zone - **OTE Level (%)** — The deep retracement level that defines the bottom of the OTE zone. Default 61.8%. Range: 55–79%. - **Show OTE Zone** — Toggle the shaded OTE box on/off. - **Show Key Levels** — Toggle individual level lines (prior H/L, open, stop, target). --- ### Signals - **Show Entry Arrows** — LONG/SHORT arrows plotted at the signal bar. - **Show Stop & Target Label** — Detailed label with Entry, Stop, BE, and Target levels. - **Stop Method** — *Prior Candle High/Low*: stop at the swept candle's opposite extreme. *OTE Zone Buffer*: stop just beyond the OTE deep level by a % of range. - **OTE Stop Buffer** — Buffer percentage when using OTE Zone Buffer stop method. - **Max Prior Candle Range (pts)** — Filters out signals where the swept candle's range is too large to produce a clean OTE setup. Default 100 pts. - **Enable Max Range Filter** — Toggle the range filter on/off. - **Target Method** — *Prior Candle H/L*: target the opposite extreme of the swept candle. *Next Swing H/L*: target the nearest HTF swing high/low beyond the sweep. *Fixed R:R*: target = entry ± (risk × multiplier). - **Fixed R:R Multiplier** — Used only when Target Method is Fixed R:R. 2.0 = 2:1 reward to risk. --- ### Swing Filter Filters out signals where price has swept through an intermediate HTF swing high or low between the prior candle extreme and the current bar. This prevents chasing signals that are actually breaking through multi-bar structure, not just taking a liquidity sweep. - **Enable Swing Filter** — Toggle on/off. - **Show Swing Levels** — Plots the four most recent HTF swing highs and lows as reference lines. - **Show Blocked Signals** — Shows faded X arrows where a signal was detected but blocked by the swing filter or range filter. --- ### Session Filter - **Enable Session Filter** — Only fire OTE signals during your defined trading hours. - **Session Start Hour (ET)** — Default 9 (9 AM ET). - **Session End Hour (ET)** — Default 16 (4 PM ET). --- ### Dealing Range (DR) The Dealing Range (also called the Initial Balance) is the high/low established during each session's opening window. Three sessions are tracked independently. **Session Times (all ET):** | Session | Build Window | Extend Window | |---|---|---| | Asia | 7:00 PM – 8:00 PM | 8:00 PM – 2:00 AM | | London | 3:00 AM – 4:00 AM | 4:00 AM – 8:30 AM | | New York | 9:30 AM – 10:30 AM | 10:30 AM – 4:00 PM | **Display options:** - **Show Asia / London / New York DR** — Toggle each session independently. - **DR Time / Extend** — Fully customizable session windows for each. - **Show DR Box (build window only)** — Shaded box that spans only the DR build period. Updates live as price builds the range and freezes when the session ends. - **Show DR High/Low Lines** — Horizontal lines at the DR high and low. Can extend into the session extend window. - **Extend H/L Lines into session** — When on, H/L lines extend to the end of the session extend window. - **Show DR Open Line** — Dashed line at the first price of the DR session. - **Show 25 / 50 / 75% Levels** — Internal DR levels at 25%, 50%, and 75% of the DR range. Update live during the build window and freeze when the DR closes. Labeled at the right edge. - **Extend % Lines into session** — When on, the 25/50/75% lines also extend into the extend window. - **Show % Level Labels** — Small text labels at the right edge of each % line. - **Line Width** — Width of all DR lines (1–4 px). **Per-session colors:** Each session (Asia, London, NY) has three separate color pickers — Box fill, High/Low line, and % lines — so you can distinguish sessions at a glance. **DR Open Line Color** — Shared color for the open line across all sessions. **NY DR Break + Day Bias Filter:** Once the NY DR build window closes (10:30 AM), the indicator watches for price to close outside the NY DR high or low. When confirmed, it locks in the day's directional bias and fires a labeled arrow on the chart. - **Filter OTE by NY DR Break Direction** — When on, only takes OTE longs when day bias is BULL, only takes OTE shorts when day bias is BEAR. - **Show DR Break Label on Chart** — Arrow label showing "BULL DR" or "BEAR DR" with timestamp at the confirmation bar. - **Confirmation Closes Required** — Number of consecutive closes beyond the DR high/low needed to confirm (1–3). Default 1. - **Enable Time Gate** — Prevents the DR bias filter from activating before a set time. Avoids pre-market fakeouts locking you into one direction all day. Default 10:30 AM ET. - **Gate Hour / Gate Minute** — The time gate threshold. - **Block All Signals Before Gate Time** — When on, no OTE signals fire at all until the gate time passes. - **Break Bull / Bear Color** — Colors for the DR break label and bias display. --- ### VWAP - **Show VWAP Line** — Plots the session VWAP. Color and width adjustable. - **Enable VWAP Filter** — When on, only takes long OTE signals when price is above VWAP, and short signals when below. Defaults to OFF — use the Results Table to A/B test its effect. - **Show VWAP Distance in Bias Table** — Adds a row to the MTF Bias Table showing how many points price is currently above or below VWAP. --- ### HTF Range Box Draws a shaded box for every bar of your Signal Timeframe, spanning the full high-to-low range. The box updates live as the HTF candle builds and the color reflects the current candle's direction (green if close ≥ open, red if not). These boxes give immediate visual context for where the HTF candle is relative to its own range. - **Show HTF Range Box** — Toggle on/off. - **Bull / Bear Fill Color** — Box fill colors for bullish and bearish HTF candles. - **Bull / Bear Border Color** — Border colors. - **Border Width** — 0–4 px. - **Extend Current Box Right** — When on, the active box projects one bar to the right. --- ### MTF Bias Table A live bias dashboard showing whether each of your seven chosen timeframes is currently Bullish, Bearish, or Neutral — based on whether the current bar has broken above the prior bar's high or below the prior bar's low. - **Show MTF Bias Table** — Toggle on/off. - **TF 1–7** — Set any seven timeframes to monitor. Defaults: 1, 5, 15, 30, 60, 240, D. - **Bias Table Position** — Top Right, Top Left, Bottom Right, Bottom Left. - **Bias Table Size** — Tiny, Small, Normal, Large. - **Show Bull/Bear Score Row** — Summary row showing count of bullish vs bearish TFs (e.g. "4B / 3S"). - **Show Accuracy (n / %)** — For each TF, tracks how often the bias signal correctly predicted the following bar's close direction. Shows percentage and sample count. Each TF accumulates at its own rate — a 1m TF will have far more samples than a Daily. - **All color options** — Separate colors for bullish fill/text, bearish fill/text, neutral fill/text, header fill/text, score row fill/text. The table also includes a **NY DR BIAS** row at the bottom showing the current day's confirmed Dealing Range direction and whether the filter is active. --- ### Colors - **Bullish / Bearish Color** — Main signal colors used for OTE zone fills and entry arrows. - **Zone Transparency %** — How transparent the OTE zone fill is (60–95%). --- ### Results Table (Table 1 — Summary) A compact performance summary. Position is independently configurable. - **Show Results Table** — Toggle on/off. - **Summary Table Position** — Where to anchor Table 1 (settings + stats + P&L). - **Table Size** — Tiny, Small, Normal, Large. - **Timezone** — ET by default. - **$ Per Point** — Set to 20 for NQ, 2 for MNQ, 50 for ES, 5 for MES. - **Number of Contracts** — Scales all dollar P&L figures. **Table 1 shows:** - Active filter settings (stop method, swing filter, session, max range, target, VWAP, DR) - Trades, Wins, Break Evens, Losses, Blocked signals, Win Rate - Avg Win (pts + $), Avg Loss (pts + $), Total Won, Total Lost - Net P&L (pts + $) --- ### Results Table (Table 2 — Hour/Slot Breakdown) Separate table showing performance broken down by time slot. Works correctly for any signal timeframe — a 30m signal TF shows `9:30AM-10:00AM` style slots, not just hourly. - **Hour Table Position** — Where to anchor Table 2. Default: Bottom Left (separate from Table 1). - **Columns**: Time slot | W | BE | L | Net Pts --- ## Signal Logic Summary A signal fires when ALL of the following are true: 1. Price swept the prior HTF candle's high (long) or low (short) within the sweep window 2. Price closed back inside the OTE zone for the first time 3. Within the session filter hours 4. Prior candle range did not exceed the max range filter 5. No intermediate HTF swing high/low was breached (swing filter) 6. VWAP filter passed (if enabled) 7. NY DR bias filter passed (if enabled and confirmed) 8. Past the time gate (if block-before-gate is enabled) Signals blocked by filters 4–8 are shown as faded X arrows so you can visually audit what the filters are doing. --- ## Notes - Works best on 1m and 5m charts with the Signal Timeframe set to 30m, 60m, or 240m. - The indicator uses `max_bars_back=5000` to support longer lookback periods. - DR boxes and lines use `xloc.bar_time` for precise timestamp-based placement. - On chart timeframes below 5 minutes, a 5m security request is used for DR calculations to match the original DR/Initial Balance convention. - All dollar P&L figures are estimates based on your $ Per Point and contract count settings — not a substitute for actual brokerage records.
Indikator Pine Script®
oleh jferheart
Market Bias Dashboard (MBD) [SharpStrat]Market Bias Dashboard - MBD Trading without context is like driving with a blindfold on. You see a bullish signal. You enter. Price reverses immediately. Why? Probably because the signal was real but the context was wrong. You were probably buying at the top of a range into a fading trend against a higher timeframe that was screaming bearish. The signal didn't lie to you. You just didn't have the full picture. MBD gives you the full picture. It's a context dashboard that sits on your chart and answers the most important question in trading before you even think about entering: What is this market actually doing right now? Not a buy signal. Not a sell signal. Just pure honest market context, measured four different ways, on two timeframes at once, updated every single bar. The reason it uses four separate components rather than one is deliberate. Any single measurement of the market is incomplete. Structure alone doesn't tell you if the trend has momentum behind it or if it's running out of steam. Momentum alone doesn't tell you where price sits in the bigger range. Volatility alone doesn't tell you the direction. Each component fills in a blind spot that the others have, and together they give you a picture that none of them could give alone. How it was built — the thinking behind it Most context indicators fail because they either use one measurement or they combine things in a way that makes the output a black box. MBD was built differently. Every component measure something completely separate, so if one is broken or noisy the others still give you useful information. And every component's reading is visible individually, so you always know why the combined bias says what it says. The four things it measures are the four things that define market behaviour at any point in time i.e. direction, position, energy, and state. Take away any one of them and your read of the market is incomplete. Component 1 — Structure The foundation. Before anything else, you need to know which direction the market is moving. Structure is determined by looking at real swing highs and swing lows actual turning points in price, confirmed by a configurable number of bars on either side. MBD then compares the last two swing highs and the last two swing lows to each other: Higher High + Higher Low = price is making upward progress = Bullish structure Lower High + Lower Low = price is making downward progress = Bearish structure Mixed = price is going nowhere with conviction = Neutral The key distinction here is that this uses actual pivot points, not a moving average that lags behind price. When price makes a genuine new swing high above the previous one, that is a fact. MBD records it. When structure flips, when a bullish sequence suddenly becomes bearish the dashboard immediately flags it as Transitioning , which is a warning to pay attention even before the other components react. Component 2 — Range Position Knowing the direction is not enough. You also need to know where price currently sits within the bigger picture. Think of it this way if a stock has been trading between 100 and 150 for the past two months and it is currently at 148, the structure might still say bullish. But you are buying right at the top of a two-month range. That is a very different risk than buying the same stock at 108. Range Position solves this. It takes the highest high and lowest low over the last 50 bars (configurable) and calculates exactly where the current price sits inside that range as a percentage. It then displays that as a visual progress bar so you can see it instantly without reading a number: Above 60% — price is in the upper portion of the range, bullish context 40% to 60% — price is in the middle, neutral, no positional edge Below 40% — price is in the lower portion of the range, bearish context This component is especially powerful when it contradicts structure. Bullish structure but range position at 90%? That tension is worth knowing. You are buying a bullish trend right at the top of the range the exact level where sellers tend to appear. MBD puts that conflict in front of you so you can decide what to do with it. Component 3 — Momentum A trend can be intact and dying at the same time. Momentum is what tells you which one it is. Here is something most beginners don't realize: a market can keep making higher highs while simultaneously running out of steam. The direction is still up. The structure still says bullish. But each successive push is covering less ground than the one before it. That is a trend that is exhausting itself and being in it without knowing that is how you get caught in a reversal you did not see coming. MBD measures momentum by tracking the size of recent price swings and comparing them to earlier ones. How much distance each swing is covering relative to past swings. Then it smooths that comparison to filter out noise. Swings getting bigger = Accelerating. The trend has fuel. It is building, not dying. Swings roughly the same size = Steady. Trend is continuing at a consistent pace. Swings getting smaller = Fading. Energy is leaving the move. Proceed with caution. The most powerful combination is Bullish structure + Accelerating momentum. That is a market with direction and energy behind it. The most dangerous combination is Bullish structure + Fading momentum a trend that looks fine on the surface but is quietly breaking down underneath. Component 4 — Volatility Market cycle between expansion and contraction. This component tells you which phase you're in. After a big move, markets tend to calm down and compress. Volatility drops. Ranges tighten. Then at some point the compression end and when it does, the next move tends to be sharp and clean. Understanding where you are in that cycle completely changes how you should be treating the market. MBD measures this by comparing the current ATR (Average True Range a measure of how much price is actually moving bar to bar) against its own longer-term average. Three states are possible: Expanding — the market is moving more than usual. Trends are active and clean. Good environment for trend following entries. Normal — Volatility is around its historical average. Market is in a typical state, nothing exceptional to flag. Coiling — Volatility has contracted significantly below normal. The market is compressing like a spring. It will not stay this quiet forever. When you see Coiling on the dashboard, a breakout is typically approaching. It does not tell you the direction but it tells you to pay attention, tighten your stops if you are in a trade, and have a plan ready. Many of the cleanest, most explosive moves in any market come directly out of a coiling period. The combined bias Each component scores +1 for a bullish reading, -1 for bearish, and 0 for neutral. Those scores are added up and the total maps to these labels: ▲ Strong Bullish — most or all components aligned bullish ▲ Moderate Bullish — clear bullish lean with some components neutral ▲ Weak Bullish — marginal bullish lean, proceed carefully ◆ Ranging — no directional edge at all ▼ Weak / Moderate / Strong Bearish — same logic in the bearish direction ⚡ Coiling — breakout approaching, direction unclear. ↔ Transitioning — structure just flipped. Wait for confirmation. The bias label is visible for both your current timeframe and your higher timeframe simultaneously, so you always have both perspectives in front of you. Multi-Timeframe At the bottom of the component section there is a TF Alignment row. This is arguably the most valuable reading in the entire indicator. It tells you whether your current timeframe and your higher timeframe are saying the same thing: Aligned — both timeframes agree on direction. This is where the highest probability setups live. When you are bullish on the 15-minute and the 4-hour is also bullish, you have the wind at your back. Conflicting — the timeframes disagree. You might be seeing a bullish setup on your trading timeframe but the higher timeframe is bearish. That does not mean you can't trade but you are fighting the bigger picture, and that should affect your position size and your expectations. Mixed — partial agreement. Somewhere in between. The most common mistake beginners make is entering a trade that looks perfect on their timeframe without ever checking the bigger picture. This removes that blind spot entirely. The most common mistake beginners make is entering a trade that looks perfect on their timeframe without ever checking the bigger picture. This removes that blind spot entirely. Past Bias Trail The trail row shows the last 10 bias states the market has moved through, from oldest on the left to newest on the right. Each symbol represents a complete past bias when the bias changed state. This filters out noise and shows you meaningful shifts. Three patterns to watch for: Consistent — sustained bullish symbols across most of the trail. This tells you the market has been in a clean trend for a while and the current bullish reading is not new it has been the dominant state. Trade with it. Choppy — random mix of bullish, bearish, and neutral. The market has been going nowhere with conviction for a while. Even if the current bias looks bullish, history says this market cannot hold a direction. Reduce size or sit out. Reversal — bearish, then ranging, then coiling, then transitioning, then bullish. This is a textbook reversal building over time. Each step makes sense in sequence. This is the kind of trail that tells you a genuine directional shift has happened and the new bias has momentum behind it. How to Use Each step builds context, so following a consistent flow helps you understand not just what the market is doing, but whether it’s worth trading at all. 1: Check Timeframe Alignment - Start by comparing your current timeframe with the higher timeframe. When both are aligned, the market has directional agreement and trades carry higher probability. If they conflict, you are trading against the broader trend, which increases risk. Mixed conditions usually indicate uncertainty. At this stage, you are simply deciding whether the environment is favorable enough to proceed. 2: Read the Overall Bias - A strong bias means multiple factors are supporting the same direction, while a weak or neutral bias suggests there is no clear edge. This step helps you quickly judge whether the market has conviction or is just moving without structure. 3: Understand the Components - Look at structure, range position, momentum, and volatility together. These components explain why the bias exists. For example, a bullish bias supported by strong structure and accelerating momentum is very different from a bullish bias where momentum is already fading. 4: Evaluate Entry Location - Before entering, check where price sits within its range. Even in a strong trend, entering near extremes increases risk. Good trades come from combining direction with reasonable positioning, not chasing price at the edges. 5: Confirm Momentum Momentum tells you if the move still has strength. Accelerating momentum supports continuation, while fading momentum warns that the move may be weakening. This helps you avoid entering late into exhausted trends. 6: Check Volatility Now assess the volatility state. Expanding volatility supports trending moves, while coiling indicates compression and a potential breakout. During coiling phases, it is usually better to wait for confirmation rather than predict direction. 7: Review Recent History Finally, glance at the bias history trail. A consistent sequence suggests a stable trend, while a mixed sequence indicates choppy conditions. This adds context and helps you judge whether the current state is likely to hold. Final Decision When alignment, bias, components, and conditions all support each other, you have a strong setup. If they conflict, the better decision is often to stay out. SETTINGS Swing Length — How strict the pivot detection is. Higher = fewer but more significant swings detected (default: 5) Range Lookback — How many bars define the recent high/low range (default: 50) ATR Period — Bars used to measure current volatility (default: 14) ATR Average Period — Volatility baseline (default: 50) Coiling Threshold - How compressed volatility must be to trigger the Coiling state (default: 0.75) Higher Timeframe —Multi timeframe (default: 240 = 4H) History Count — Number of observations in the past bias trail (default: 8) Panel Position — Where the dashboard sits on your chart (default: Top Right) Color Theme — Dark / Light Works everywhere MBD is built to work universally not just on one asset type or one timeframe. The four components it measures are structure, range position, momentum, volatility these exist in every liquid market that has ever traded. Whether you are scalping Bitcoin on the one minute chart, swing trading stocks on the daily, or analyzing forex on the four hour, the dashboard reads the same way and the interpretation is identical. This is not a signal tool . It is a context tool. Use it to understand the market before you enter, not to decide for you.
Indikator Pine Script®
oleh SharpStrat