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Support-and-resistance

Liquidity Sweep Retracements [MarkitTick]💡An advanced analytical framework designed to decode market micro-structure by evaluating the depth, speed, and statistical probability of price pullbacks. Rather than relying solely on static Fibonacci levels, this tool dynamically tracks the historical characteristics of an asset's swing behavior, alerting the user to structural anomalies and shifts in momentum. By intersecting retracement analysis with liquidity sweep detection and a built-in heatmap, this framework offers a comprehensive lens into market behavior, isolating environments where trend continuation is highly probable versus areas prone to exhaustion. ✨ Originality and Utility Standard market analysis often relies on rigid tools that do not adapt to changing volatility conditions. This script introduces a highly original dynamic evaluation method by actively saving the characteristics of recent price swings into an internal array and establishing a moving statistical baseline. The primary utility of this script lies in its multidimensional analysis. It does not just measure how far price has pulled back; it calculates how fast the pullback occurred and compares this velocity to the asset's recent historical baseline. This enables the framework to categorize price action not merely as a "pullback," but as a statistically significant "Anomaly" or an "Aggressive" move. Furthermore, by weaving Higher Timeframe (HTF) trend alignments and localized liquidity sweep detections into a single, cohesive dashboard and visual charting environment, it reduces chart clutter while exponentially increasing the depth of available data. 🔬 Methodology and Concepts ● Swing Structuring and Pivot Detection The foundational logic relies on identifying structural pivot highs and lows through a localized lookback and look-forward window. The algorithm requires a definitive peak or trough isolated by user-defined left and right bars, establishing the anchor points for all subsequent mathematical measurements. ● Dynamic Retracement Scoring Once a swing structure is confirmed, the script calculates the exact percentage of the retracement relative to the preceding impulse. These percentages are continuously categorized into defined behavioral zones: Impulse (Less than 23%) Shallow (Less than 38%) Healthy (Up to 61.8%) Deep (Up to 78.6%) Reversal (Beyond 78.6%) ● Retracement Momentum Velocity (RMV) Time and price are merged to extract velocity. By dividing the total percentage of the retracement by the number of bars it took to form, the script generates a velocity reading. This reading is dynamically compared against an array of historical velocities to determine if the current counter-trend move is unusually aggressive. ● Statistical Anomaly Detection The script manages historical arrays of past retracement data, calculating a rolling mean (average) and standard deviation. An anomaly is triggered when a live retracement deviates significantly from this moving baseline, determined by a user-defined standard deviation multiplier. This mathematically highlights structural shifts before they mature into full trend reversals. ● Liquidity Sweep Verification The indicator actively monitors price interactions with localized structural extremes. A bullish sweep occurs when price pierces a recent significant low but closes decisively above it, creating a structural trap. Bearish sweeps apply the inverse logic to structural highs. 🎨 Visual Guide ● Heatmap Candles The script overrides standard candle colors with a dynamic heatmap that visually translates the health and speed of the current retracement: Green indicates a healthy, standard retracement zone. Orange highlights a weak zone, suggesting the trend is losing foundational strength. Red warns of a deep structural violation bordering on a reversal. Purple explicitly signifies an aggressive Retracement Momentum Velocity (RMV), warning of high counter-trend momentum. ● Price Action Overlays and Labels Pivot Highs and Lows are marked precisely with small red and green crosses. (Note: These appear retroactively once the defined right-side bars confirm the pivot). Data Labels are plotted at swing extremes. These carry a dark blue-gray background with dynamic text colors. They display the exact retracement percentage alongside quality badges, anomaly alerts (orange for opportunity, red for danger), and RMV warnings. ● Liquidity Markers When a sweep is detected, small distinct shapes appear. "LS" text markers are plotted in bright green below bullish sweeps and bright red above bearish sweeps, visually anchoring liquidity traps directly onto the price action. ● The Analytical Dashboard Located in the top right corner, this panel serves as the central intelligence hub. It utilizes shaded backgrounds to organize critical data natively on the chart. Retracement and Health bars utilize block characters (█/░) to visualize strength out of 100%. HTF Alignment displays the macro bias via clear text and color codes (Green for Bullish, Red for Bearish). The dashboard aggregates averages, velocities, and quality metrics into a readable, high-contrast matrix. 📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings. 📖 How to Use Traders should monitor the dynamic relationship between the visual candle heatmap and the dashboard metrics. Trend Continuation: Look for retracements that remain within the "Healthy" or "Shallow" zones (highlighted by green candles and positive dashboard health scores) that align with a bullish HTF signal. Anomaly Exploitation: If an anomaly label appears marking a shallow retracement (orange text warning), this historically suggests an unusually strong impulse where standard deep pullbacks may not materialize. Exhaustion Warnings: If the candles shift to purple, indicating an RMV Aggressive state, the counter-trend velocity is statistically high. Traders may use this to delay entries until momentum normalizes, or to identify structural traps if this aggression ends in a marked Liquidity Sweep (LS marker). ⚙️ Inputs and Settings • Swing Settings Controls the sensitivity of pivot detection. Higher values filter out market noise for major swing structures, while lower values react quickly to micro-trends. • Retracement and Anomaly Parameters Dictates the maximum number of historical retracements held in the memory array. The Standard Deviation Threshold allows users to expand or contract the mathematical boundary for what qualifies as an anomaly. • RMV (Velocity) Limits Controls the aggression threshold. Adjusting the multiplier determines how much faster a retracement must be compared to the historical average to trigger the purple heatmap and aggressive warnings. • Liquidity Sweeps Defines the lookback length for identifying local highs and lows that act as liquidity pools. • Alerts and Dashboard Configuration Enables fully customizable JSON-formatted alerts based on statistical deviations, and allows users to toggle or completely restyle the visual dashboard and heatmap components. 🔍 Deconstruction of the Underlying Scientific and Academic Framework This indicator is heavily anchored in statistical mechanics and kinematics principles applied to financial time-series data. • Gaussian Distribution and Variance Instead of utilizing fixed geometric sequences (such as the Golden Ratio), the framework treats market swings as a dataset exhibiting normal distribution characteristics. By calculating the variance and extracting the standard deviation of historical swing depths, the script establishes mathematically sound confidence intervals. When price action breaches these standard deviation bands, it represents a statistically significant outlier, formally alerting the user to a fat-tail market event. • Financial Kinematics The integration of Retracement Momentum Velocity (RMV) introduces physics-based kinematic principles to price action. In traditional mechanics, velocity is the rate of change of position with respect to a frame of reference. The algorithm defines the frame of reference as the structural swing, calculating velocity as the percentage of displacement per unit of time (bars). By tracking the rolling average of this velocity, the script can algorithmically determine when kinetic energy in a counter-trend direction is statistically abnormal, independent of the actual price level reached. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® インジケーター
MarkitTickの投稿
4
Fair Value Gap Scanner Pro [algo_aakash]This indicator identifies Fair Value Gaps (FVGs) and combines them with market structure analysis, liquidity zones, order blocks, volatility measurements, and multi-timeframe confirmation to provide additional context for chart analysis. Features Bullish and Bearish Fair Value Gap detection Automatic mitigation tracking Market Structure (BOS and CHoCH) Order Block visualization Liquidity zone identification Dynamic Support and Resistance levels ATR-based volatility bands Multi-Timeframe trend confirmation Market bias engine Interactive dashboard Inputs Users can configure: Minimum gap size FVG extension length Mitigation method Swing detection length Order block settings Support and resistance lookback Volatility parameters Multi-timeframe confirmation settings Dashboard display options Alerts Available alerts include: New Bullish FVG New Bearish FVG Bullish Entry Signal Bearish Entry Signal Bullish Exit Signal Bearish Exit Signal Trend Change How It Works The indicator identifies price imbalances using Fair Value Gap logic and combines those signals with structural and momentum-based analysis. Additional confirmation is provided through market structure breaks, liquidity mapping, volatility measurements, and higher-timeframe trend alignment. Limitations Signals are informational only. Market conditions may affect indicator behavior. Historical performance does not guarantee future results. Multi-timeframe analysis depends on selected chart intervals. Notes This tool is designed for chart analysis and educational purposes. Users should combine indicator readings with their own research and risk management process.
Pine Script® インジケーター
algo_aakashの投稿
Liquidity Map & Execution Cost# Liquidity Map & Execution Cost ## What this script does LMX answers three execution questions most indicators ignore: **how expensive is it to get in and out right now, how hard would it be to move size, and where on the chart will price struggle versus travel freely.** It reads only the chart's own price and volume — no symbol is hardcoded, so it runs on any asset and any market (equities, futures, FX, crypto, indices) — and turns the answers into a plain-language trade check: liquidity state, suggested position size, order type, estimated slippage, and a colour-coded map of support, resistance, walls and open gaps. ## Why these components are combined (mashup justification) This is not several indicators stacked together — it is one liquidity model whose parts each answer a question the others cannot, and they are designed to be read together. Removing any one leaves a specific blind spot: 1. **Cost to cross — effective spread.** Estimated with the EDGE estimator (Ardia, Guidotti & Kroencke 2024) from open/high/low/close, cross-checked against Abdi-Ranaldo (2017) and Corwin-Schultz (2012). This tells you the round-trip cost of entering, which spread-blind tools cannot show. Alone, it says nothing about moving size or about levels. 2. **Cost to move size — price impact.** The Amihud (2002) illiquidity ratio with a high-low refinement, plus a rolling Kyle (1985) lambda computed as a true regression slope. This tells you how far your own order would push price — the question that matters for sizing, and one a spread estimate cannot answer. 3. **Direction of pressure — order imbalance.** A close-location signed-volume imbalance and its persistence. This tells you which side is leaning now, adding direction that the cost measures lack. 4. **The spatial map — volume at price.** A time-decay-weighted, range-distributed volume profile that yields the Point of Control and Value Area (standard 70% method), rendered as directional zones: green support below price, red resistance above, solid = a wall price struggles at, faint = an open gap price slides through. This converts the abstract cost/impact numbers into *locations* on the chart. 5. **Anchored VWAP — fair value.** A volume-weighted average anchored to your chosen reference (last major swing by default; or session/week/month open, or the highest-volume bar), drawn as a trend-coloured line. It is the dynamic counterpart to the static profile: where the average participant is positioned, and whether price is rich or cheap versus that. Together they form one decision: the spread and impact set the **cost and size**, the imbalance and VWAP set the **direction and fair value**, and the map sets the **location** — so the output is "trade full size with market orders, buyers in control, room to run up to the gap above," not five separate readings. ## How a reading is produced Each estimator is normalised to a percentile of its own history so thresholds adapt to every symbol and timeframe. The inverted spread, inverted impact and depth combine into a 0–100 **Liquidity Score**, classified as Deep / Normal / Thin / Stressed (a sudden impact spike forces Stressed). The score drives the suggested size multiplier, the order-type advice and the slippage estimate. The map is rebuilt on the last bar from the volume-at-price profile. ## How to use it - Apply to any symbol. Set the price source and, if you trade very low intraday timeframes, optionally fix the calc timeframe (e.g. Daily) so the spread estimators stay stable. On symbols without real volume the volume modules disable automatically and the score leans on the spread estimators (the panel shows "price-only"). - **Simple mode (default)** gives plain-language guidance: Liquidity, Trade cost, Pressure, Position size, Orders, Watch-out, Fair value, and a one-line verdict. **Pro mode** exposes the full readout (spread in bps, Amihud and Kyle percentiles, depth, imbalance, flow persistence, value-area levels). - On the chart: trade toward green support, expect resistance at red, size down where the map is thin (price moves fast there), and read the trend-coloured fair-value line for rich/cheap context. - Alerts: liquidity-state change and sudden liquidity withdrawal. ## Originality The combination is the original contribution: a single overlay that fuses low-frequency **spread**, **impact** and **imbalance** estimators with a **time-decay, range-distributed volume profile** and an anchored fair-value line, then translates all of it into sizing/order/slippage decisions in plain language. The building blocks are public-domain methods (EDGE, Abdi-Ranaldo, Corwin-Schultz, Amihud, Kyle, volume-profile Value Area, anchored VWAP), each used for the specific job described above and cited in the script header. ## Limitations (please read) - These are **low-frequency estimators** of quantities normally measured from quote/tick data. They approximate — they do not measure — the true spread, depth, or dealer book. - Volume-based modules require a real volume feed; they disable on symbols without one. - Spread estimators were validated on daily-type bars; on very fast intraday timeframes they are noisier — use the calc-timeframe option if needed. - The on-panel statistics are computed on the loaded chart history. - This is an analysis tool, **not financial advice.** Test before use and trade at your own risk.
Pine Script® インジケーター
Market_Logic_Indiaの投稿
Smart Money Concepts Lite [ITA]# Smart Money Concepts Lite Auto-detect market structure the way smart-money traders read a chart: swing points, Break of Structure (BOS), Change of Character (CHoCH), and the order blocks left behind by each shift. One indicator, any market, any timeframe. ## What it shows - **Swing points** - every confirmed pivot is labelled HH / HL / LH / LL so you can read the structure at a glance. - **BOS (Break of Structure)** - a dashed line + label when price continues the trend by breaking the last swing in the same direction. - **CHoCH (Change of Character)** - the first break against the prevailing trend, the earliest sign that structure is flipping. - **Order Blocks** - the candle that created each break is boxed as a supply/demand zone, extended forward so you can watch for the retest. - **Structure panel** - a small corner table showing whether current structure is Bullish, Bearish, or Neutral. Every signal is confirmed by a closed pivot before it is drawn - no repainting. ## When to use it - **Entry timing** - wait for a CHoCH to flip structure, then enter on the retest of the fresh order block. - **Trend filter** - only take longs while the panel reads Bullish, only shorts while it reads Bearish. - **Higher-timeframe bias** - load it on the daily to set bias, then drop to a lower timeframe to execute. ## Settings - **Swing Length** - controls how significant a pivot must be. Higher = fewer, cleaner swings. - Toggle BOS, CHoCH, swing labels, and order blocks independently. - Order block search depth and max number of boxes on the chart. - Panel position and full color control for bullish / bearish / text. ## Alerts Two alert conditions are exposed: **Bullish structure break** and **Bearish structure break**. Add them once and get notified the moment structure breaks on the symbol and timeframe the indicator is loaded on. ## What this version does NOT include This is the LITE version. For traders who want the full smart-money toolkit, the custom builds at itatradingtools.com add: - Internal structure vs. swing structure on the same chart. - Multi-timeframe structure (HTF bias drawn on the LTF chart). - Fair Value Gaps (FVG) and liquidity sweep detection. - Premium / discount zones from the dealing range. - Mitigated vs. unmitigated order block tracking. - Alert routing to Telegram / Discord with chart screenshots. Free to use, open-source, and built to be readable - fork it, learn from it, make it yours.
Pine Script® インジケーター
itamardrori_の投稿
Breakout Retest Signals [algo_aakash]Breakout Retest Confirmation Zones is a market structure indicator designed to identify confirmed breakouts and evaluate subsequent retests before generating bullish or bearish confirmation signals. The script detects validated structural breaks using confirmed swing pivots, creates adaptive breakout zones based on ATR, and monitors price interaction with those zones to assess retest quality. Features Confirmed swing high and swing low detection ATR-based breakout strength filtering Dynamic breakout zones Retest monitoring Retest quality scoring system Bullish and bearish confirmation signals Visual breakout zone display Built-in alert support Adjustable sensitivity settings Inputs Structure Detection Swing Lookback Minimum Breakout Strength Breakout Zone Zone Width Zone Lifetime Retest Quality Maximum Retest Wait Period Minimum Quality Score Rejection Candle Requirement Volatility ATR Length Visual Settings Bullish Color Bearish Color Zone Transparency Zone Display Limits Alerts The indicator can notify users when: A bullish breakout occurs A bearish breakout occurs A bullish retest is detected A bearish retest is detected A bullish confirmation is generated A bearish confirmation is generated How It Works The script identifies confirmed structural pivots. A breakout is detected when price closes beyond a pivot level by a user-defined ATR threshold. A breakout zone is created around the broken level. The indicator waits for price to revisit the zone. Retest quality is evaluated based on zone penetration depth and rejection behavior. A confirmation signal is generated when quality requirements are satisfied. Limitations Pivot confirmation requires historical bars. Signals may appear later than the initial breakout. Performance depends on market conditions and chosen settings. Results can vary across symbols and timeframes. Notes This indicator is intended as a market structure analysis tool and should be used alongside broader technical analysis methods.
Pine Script® インジケーター
algo_aakashの投稿
3
Elaris Absorption Zones ProElaris Absorption Zones Pro Elaris Absorption Zones Pro is an advanced price-action and volume analysis indicator designed to identify potential absorption events where aggressive market orders are absorbed by opposing passive liquidity. The indicator focuses on situations where price attempts to break an important level but fails to continue, suggesting that significant limit orders may be absorbing the incoming buying or selling pressure. Unlike traditional breakout indicators that look for continuation, this tool is designed to highlight failed auctions, rejection events, and potential liquidity absorption zones that may lead to reversals, pullbacks, or reduced directional momentum. --- What Is Absorption? Absorption occurs when aggressive participants repeatedly attempt to push price through a level using market orders, but opposing limit orders absorb that pressure and prevent further movement. Examples include: • Buyers aggressively pushing above resistance but failing to achieve continuation. • Sellers aggressively pushing below support but failing to achieve continuation. • Large rejection wicks appearing after a breakout attempt. • High volume with limited price progress (Effort vs Result imbalance). These conditions can indicate the presence of significant liquidity providers defending a price area. --- How The Indicator Works The indicator combines multiple confirmation layers: Market Structure Analysis The script monitors: • Confirmed swing highs and swing lows • Recent trading ranges • Failed breakout attempts Price must first attempt to break an important structural level before absorption conditions can be evaluated. Rejection Analysis The indicator evaluates: • Upper wick size • Lower wick size • Body-to-range relationship Large rejection wicks combined with small candle bodies may indicate strong opposing liquidity. Volume Confirmation Volume is evaluated using: • Relative volume • Volume moving averages • Optional volume Z-score analysis This helps identify situations where participation is elevated compared to normal market activity. Effort vs Result Model One of the core components of the indicator is Effort vs Result analysis. High volume combined with poor directional progress can indicate that incoming orders are being absorbed rather than successfully moving the market. Absorption Scoring Every detected signal receives a strength score based on: • Rejection quality • Relative volume • Candle efficiency Higher scores generally indicate stronger absorption characteristics. --- Features ✔ Bullish absorption detection ✔ Bearish absorption detection ✔ Failed breakout recognition ✔ Confirmed swing structure analysis ✔ Range breakout absorption detection ✔ Relative volume filters ✔ Volume Z-score filtering ✔ Effort vs Result analysis ✔ Absorption strength scoring ✔ Optional absorption zones ✔ Zone retest detection ✔ Dashboard with live metrics ✔ Alert conditions ✔ Non-repainting confirmation mode --- Bullish Absorption Bullish absorption may occur when: 1. Price breaks below support. 2. Sellers attempt continuation. 3. Price quickly returns above the level. 4. A strong lower rejection wick forms. 5. Volume confirms elevated participation. This may suggest that passive buyers absorbed the selling pressure. --- Bearish Absorption Bearish absorption may occur when: 1. Price breaks above resistance. 2. Buyers attempt continuation. 3. Price closes back below the level. 4. A strong upper rejection wick forms. 5. Volume confirms elevated participation. This may suggest that passive sellers absorbed the buying pressure. --- How To Use Many traders use absorption signals as: • Early reversal warnings • Liquidity sweep confirmations • Support and resistance confirmation • Market structure confirmation • Trade management tools For best results, consider combining absorption signals with: • Trend analysis • Market structure • Higher timeframe context • Risk management rules • Additional confirmation tools --- Non-Repainting When "Confirm Only After Candle Close" is enabled, signals are generated only after a candle has fully closed. Confirmed swing levels are based on completed pivot structures. This helps reduce signal instability and prevents intrabar repainting behavior. --- Important Notes This indicator does not use Level II, order book, footprint, or exchange matching engine data. Because TradingView Pine Script does not have direct access to actual market order flow, absorption is estimated using a combination of price action, rejection behavior, volume analysis, and structural breakout failure characteristics. As with all trading tools, signals should be used as part of a complete trading plan and not as standalone buy or sell recommendations.
Pine Script® インジケーター
ElarisGroupの投稿
Volume Profile Composite, Naked POC & Value-AreaVolume Profile — Composite, Naked POC & Value-Area ================================================== WHAT IT IS A volume-at-price profile built for depth and decisions. It measures where trade actually concentrated across the loaded history, distils that distribution into the levels traders use — Point of Control (POC), Value Area (VAH/VAL), High and Low Volume Nodes (HVN/LVN), and untested "naked" prior-session POCs — and then converts those levels into a plain-language read of where price sits in the auction (premium, discount, or inside value; balancing or migrating). It is a study for chart analysis and education. It plots levels and context; it does not place orders and does not output buy/sell signals. HOW IT WORKS (ENGINE) Volume is accumulated bar by bar into a price-keyed map on a fine grid (the symbol's minimum tick multiplied by a user factor), then re-aggregated to the chosen number of display rows. Because the engine uses a map rather than a fixed lookback array, the profile can span every loaded bar instead of only a recent window, and it is not limited by the historical bar-reference ceiling. Each bar's volume is distributed across that bar's high-low range over a capped number of samples, and tagged buy or sell by bar direction, producing a two-tone histogram and a per-level delta. Where intrabar (lower-timeframe) data is available, recent history can optionally be refined from it; older bars fall back to the bar-range method. The Value Area is grown outward from the POC bin until the chosen percentage of total volume is captured. Prior-day, prior-week and full-history composite levels reuse the same value-area routine on their own maps. The heavy redraw runs on bar open/close rather than on every realtime tick, to keep live charts responsive. WHY THESE COMPONENTS ARE COMBINED (MASHUP JUSTIFICATION) This is one volume-profile engine, not a stack of independent indicators. Every layer is computed FROM THE SAME accumulated volume map, and each one exists to remove a specific blind spot of the raw histogram. A bare histogram only answers "where did volume happen"; it cannot tell you whether price is rich or cheap, which level matters next, or whether the market is balancing or trending. The combined layers answer those questions, and they work together as follows: - POC and Value Area transform the raw distribution into a fair-value frame, so every other reading can be expressed as premium, discount, or inside value. - HVN and LVN classify each price level produced by that same distribution as acceptance (a volume shelf where reactions are more likely) or a thin gap (where price tends to move quickly). This tells you how a level is likely to behave, which the POC/Value Area alone do not. - Naked prior-session POCs carry acceptance forward in time: they are POCs from earlier sessions that price has not yet traded back through, derived from the same per-session maps, and they act as revisit references. - Value migration is simply the sequence of those session POCs read as a direction, turning the profile history into a balancing-versus-trending read. - The composite overlay keeps the full-history POC and Value Area in view while you work a shorter, more legible recent window, so context is never lost. - VWAP, Initial Balance, an expected-move band, and cumulative-volume-delta divergence are confluence layers. They are optional and each degrades gracefully if its data is absent. They are included because volume-profile levels are used in context: VWAP gives the session's volume-weighted mean, Initial Balance gives the opening reference, the expected-move band frames a realistic day's range, and CVD-versus-price flags exhaustion. Each one answers "does independent volume/price information agree with what the profile shows here?", which is exactly how these levels are traded in practice. - The Auto-Read is the synthesis step: it does not add new data, it ranks the levels the engine already produced by distance to price and states the auction context in words. In short, the histogram is the raw material and every other element is a transformation of that same data into a level, a classification, a confluence check, or a written read. That shared derivation is the reason they belong in a single script rather than as separate indicators. WHAT IT PLOTS - Buy/sell two-tone histogram, drawn in the clear space to the right of price so candles stay visible. - POC, Value Area (VAH/VAL, adjustable percentage), HVN/LVN nodes. - Naked daily POCs, with a creation-time check that skips levels already traded through and an optional age-out so the list stays meaningful. - Polarity flip: a prior-day Value Area edge that price closes decisively beyond and holds changes role (broken VAH becomes support; broken VAL becomes resistance) and feeds the support/resistance read. - Prior-day and prior-week POC/Value Area, full-history composite overlay, developing POC. - VWAP with standard-deviation bands, Initial Balance, expected-move band, cumulative-volume-delta divergence, buy/sell imbalance shelves, poor highs/lows, single-print gaps. - Higher-timeframe POC bias (a light proxy — see Limitations). - Auto-Read dashboard (full or compact), one-line headline, and an on-chart identity strip showing the script name, symbol and timeframe. HOW TO USE 1. Choose a scope: Rolling (default), Composite (all history), From date, or Fixed range. The composite overlay keeps the big-picture levels visible. 2. Read location first from the headline or dashboard: inside value, premium, or discount, and whether value is migrating up, down, or flat. 3. Treat the levels as a map, not a signal. POC acts as a mean-revert magnet; Value Area edges are balance boundaries; HVN suggests stalls; LVN suggests fast moves; a naked POC is a revisit reference. 4. Look for confluence with VWAP, Initial Balance, and prior-session levels, and treat CVD divergence as a caution flag. 5. Detail presets (Simple / Standard / Pro) gate how much is shown. A compact dashboard toggle trims the table to the key decision fields. WHAT MAKES IT ORIGINAL - Full-history depth via the price-keyed map, beyond a fixed lookback window. - A built-in, past-only calibration of the profile's own claims: it logs value-edge and POC-stretch reversion events against the prior-day Value Area (which exists on every bar, so the measurement backfills over history), waits a fixed horizon, and reports the realised hit-rate with a 95% confidence interval. This is descriptive of past behaviour on the specific instrument; it is explicitly not a backtest and not a forecast. - A decision-ordered, plain-language Auto-Read derived entirely from the engine's own levels. DATA SOURCE AND ANY-MARKET USE The volume source is user-selectable (Settings > Data source), so the profile can be built from the symbol's own volume or from any other series your feed provides. For symbols that report no native volume (some cash indices and FX feeds), an optional "borrow volume" field lets you supply a volume-bearing proxy for the same instrument; it only activates when the charted symbol genuinely has no volume. The volatility-index symbol for the expected-move band is also user-set and falls back to a daily-ATR band when left blank. An optional asset-class auto-tune adapts the grid and node percentiles to the detected class. All of these are blank or off by default, so nothing is tied to one market. CALIBRATION NOTE The calibration panel is descriptive only. It reports how often, in the past, on the current symbol, price followed through after the logged events. Small samples are flagged. It is not a probability of future results. LIMITATIONS (HONEST) - This uses a BAR-RANGE volume distribution (optionally refined by lower-timeframe bars). It approximates where volume traded within each bar. It is NOT exchange price-by-price volume, tick data, or order-flow/footprint, and it cannot see bid/ask. - It needs real volume. Cash indices often report none — use the matching future or continuous contract, or the borrow-volume field. - The higher-timeframe POC is a light single-bar proxy (the price of the highest-volume higher-timeframe bar over a lookback), not a full higher- timeframe profile. - All readings are probabilistic context, not predictions. DISCLAIMER This script is a study/indicator for chart analysis and education only. It is NOT a strategy, NOT a recommendation, and NOT financial advice. It places no orders and guarantees no result. Trading involves substantial risk; a level's past behaviour does not assure future behaviour. Do your own research and manage your own risk.
Pine Script® インジケーター
Market_Logic_Indiaの投稿
2
MACD Pullback & Divergence with Bollinger Bands and Pivot LevelsThis indicator combines MACD pullback analysis, MACD histogram divergence detection, Bollinger Band filtering, and pivot-based support/resistance validation into a single decision-support tool. The goal is to highlight bullish and bearish opportunities only when multiple technical conditions align. Features MACD pullback detection MACD zero-line confirmation Regular bullish divergence detection Hidden bullish divergence detection Regular bearish divergence detection Hidden bearish divergence detection Bollinger Band confirmation filter Pivot-based support and resistance filter Alert support for bullish and bearish signals Inputs MACD Settings Fast Length Slow Length Signal Length Pullback Lookback Divergence Settings Pivot Lookback Left Pivot Lookback Right Minimum Range Maximum Range Support Resistance Settings Enable Support/Resistance Filter Left Bars Right Bars Bollinger Band Settings Enable Bollinger Band Filter Length Standard Deviation Multiplier Alerts Available alerts: Bullish Signal Bearish Signal Regular Bullish Divergence Hidden Bullish Divergence Regular Bearish Divergence Hidden Bearish Divergence How It Works Bullish signals require: Positive MACD momentum MACD crossing above zero Recent bearish pullback crossover Recent bullish divergence Optional support confirmation Optional Bollinger Band confirmation Bearish signals require: Negative MACD momentum MACD crossing below zero Recent bullish pullback crossover Recent bearish divergence Optional resistance confirmation Optional Bollinger Band confirmation Limitations Divergence signals depend on confirmed pivots and therefore appear after confirmation. Support and resistance levels are based on pivots and may differ from manually drawn zones. Signals should be used as part of a broader analytical process. Notes This indicator is designed for chart analysis and market observation. Users should validate signals with their own methodology and risk management practices.
Pine Script® インジケーター
algo_aakashの投稿
1
Smart Gap & Support and Resistance Breakout [MarkitTick]💡 This technical analysis script provides a highly sophisticated framework for market structure mapping, gap categorization, and breakout validation. By tracking structural pivot points and combining them with algorithmic gap analysis, the indicator systematically identifies areas of significant price imbalance and evaluates their impact on subsequent price action. The tool dynamically maps historical and developing support and resistance levels across multiple timeframes, integrating volume analysis and time-decay functions to ensure only the most relevant structural levels remain active. Designed for robust technical evaluation, it utilizes a strict non-repainting architecture for its multi-timeframe data retrieval, ensuring historical integrity during retrospective analysis. ✨ Originality and Utility While many indicators plot basic support and resistance levels or highlight price gaps, this tool introduces a high degree of originality through its algorithmic synthesis and mashup methodology. The combination of structural pivot tracking and gap categorization is a deliberate and logical confluence. Gaps inherently represent sudden shifts in supply and demand, frequently acting as hidden support or resistance zones. By merging gap analysis with traditional pivot-based market structure, the script provides a unified view of market geometry. Furthermore, the script distinguishes itself by categorizing gaps dynamically into three distinct types: Breakaway, Runaway, and Exhaustion. Rather than treating all price voids equally, it applies contextual logic—such as trend maturity and volume confirmation—to evaluate the probabilistic nature of the gap. The utility is further enhanced by an advanced multi-timeframe engine that overlays macro structural levels onto the active chart without introducing lookahead bias, providing traders with a pristine, top-down analytical perspective within a single pane. 🔬 Methodology and Concepts ● Structural Pivot Detection The foundation of the script relies on identifying Swing Highs and Swing Lows. A Pivot High is established when a specific high price is preceded and followed by a defined number of lower highs. A Pivot Low is established when a specific low price is preceded and followed by a defined number of higher lows. These points act as the empirical anchors for drawing support and resistance lines. ● Gap Categorization Engine The script continuously scans for bullish and bearish price gaps (defined as a strict price void between the current low/high and the high/low of two bars prior, combined with directional candle confirmation). Once a gap exceeds the minimum size threshold, it is classified using the following methodology: Breakaway Gaps (BW): Identified if the gap's occurrence coincides with the breaking of the most recently established structural pivot level. This signifies a forceful escape from a prior consolidation or trend phase. Exhaustion Gaps (EX): Identified if the gap occurs after a prolonged trend duration (trend maturity) and is accompanied by a significant volume spike. This logic assumes that late-stage acceleration coupled with extreme volume often represents climatic buying or selling. Runaway Gaps (RW): Any valid gap that does not meet the strict criteria for Breakaway or Exhaustion is classified as Runaway, representing standard trend continuation. ● Non-Repainting Multi-Timeframe Integration To map higher timeframe (HTF) levels onto the lower timeframe (LTF) chart safely, the script employs a strict index-offset methodology. When fetching HTF pivot data, the script references the previous bar's calculated state while utilizing a lookahead parameter. This architectural design explicitly prevents future data leakage (lookahead bias), ensuring that historical backtesting and real-time execution behave identically. ● Breakout and Time-Decay Logic Support and resistance lines are evaluated for breakouts based on closing prices. A breakout is only considered valid if the closing price decisively crosses the level and, if volume confirmation is enabled, the breakout bar's volume exceeds the defined moving average threshold. To maintain a clean visual workspace, levels can be subjected to a time-decay function, removing them from the chart after a user-defined number of bars. 🎨 Visual Guide ● Support and Resistance Lines Green Lines: Represent active support levels derived from current timeframe pivot lows. Red Lines: Represent active resistance levels derived from current timeframe pivot highs. Thick Light Blue Lines: Highlight major support levels from the higher timeframe. Thick Orange Lines: Highlight major resistance levels from the higher timeframe. ● Market Structure Labels Red "HH" / "LH" Labels: Denote Higher Highs or Lower Highs at resistance pivots. Blue/Green "LL" / "HL" Labels: Denote Lower Lows or Higher Lows at support pivots. Purple "EH" / "EL" Labels: Indicate Equal Highs or Equal Lows. ● Gap Visualization Boxes Blue Boxes: Highlight Breakaway Gaps (BW). Orange Boxes: Highlight Runaway Gaps (RW). Red Boxes: Highlight Exhaustion Gaps (EX). Dotted Mid-Lines: Each gap box contains a dotted line calculating the exact mathematical midpoint of the gap, often acting as a highly reactive micro-level. ● Breakout Markers Green Upward Triangles (▲): Plotted below the price to indicate a confirmed breakout of a resistance level. The number indicates how many distinct resistance levels were broken on that bar. Red Downward Triangles (▼): Plotted above the price to indicate a confirmed breakdown of a support level. Cyan/Orange Triangles: Represent breakouts of higher timeframe (HTF) levels. 📖 How to Use ● Interpreting Gap Signals Breakaway Gaps: When a blue Breakaway gap forms, it suggests the initiation of a new directional phase. Traders typically monitor the borders of this gap to act as strong support or resistance upon any subsequent retests. Runaway Gaps: The appearance of an orange Runaway gap confirms underlying trend strength. The midpoint of these gaps (the dotted line) is often used to gauge short-term trend health. Exhaustion Gaps: A red Exhaustion gap serves as a cautionary signal. Because it indicates mature trend fatigue coupled with high volume, it suggests that the current directional momentum may be nearing a terminal phase or sharp retracement. ● Trading Support and Resistance Breakouts Structural Mapping: Use the dynamically drawn S/R lines to identify the boundaries of the current market range. Volume Confirmation: When the indicator plots a breakout triangle, ensure that it aligns with your broader directional bias. If the volume confirmation setting is active, the triangle inherently signifies that the breakout possessed above-average participation, increasing the mathematical probability of continuation. Multi-Timeframe Confluence: Pay special attention when current timeframe price action interacts with the thicker HTF lines. A breakout that fractures both a LTF and HTF resistance level simultaneously carries significantly more structural weight. ⚙️ Inputs and Settings ● Swing Logic Left Bars / Right Bars: Determines the number of bars required on either side of a candle to confirm a structural pivot. Higher values yield longer-term, more significant levels. Max Stored Levels: Controls how many historical S/R lines remain active on the chart to prevent visual clutter. Max Break Labels: Limits the number of historical breakout triangle markers displayed. ● Usability and Time Decay Multi-Timeframe: Allows overriding the base timeframe for calculations. Enable Time Decay: When activated, S/R levels that remain untested or unbroken will automatically expire and be removed from the chart. Decay Period (Bars): The specific threshold of bars after which an untested level is deleted. ● Higher Timeframe (HTF) Levels Enable HTF Levels: Toggles the calculation and plotting of macro S/R lines. HTF Timeframe: The target timeframe for macro structural analysis (e.g., Daily, Weekly). Hide Current TF When HTF Active: A visual filter to isolate only macro levels when desired. ● Algorithmic Filters and Analysis Volume Confirmation: When true, breakouts are only validated if the bar's volume exceeds a moving average. Min Gap Size (Points): Establishes a raw point threshold that a price void must exceed to be classified as a gap, filtering out negligible price skips. Volume Spike Multiplier: The factor by which current volume must exceed the average to trigger Exhaustion gap logic. Trend Maturity (Bars): The minimum number of bars a trend must have persisted from the last major pivot to allow for an Exhaustion gap classification. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Auction Market Theory and Liquidity Voids The gap categorization matrix within this script is deeply rooted in Auction Market Theory (AMT). In AMT, price discovery is a continuous auction searching for liquidity. A gap represents a structural liquidity void—a pricing zone where no double-sided auction occurred due to extreme urgency from either buyers or sellers. The script's identification of Breakaway gaps mathematically isolates moments where this urgency successfully overcomes historical supply or demand nodes (the pivots). The dotted midpoint lines inside the gap boxes serve as theoretical "Fair Value" approximations for the void, representing the mean reversion target if the market attempts to repair the inefficient auction. ● Volume Spread Analysis (VSA) Integration The Exhaustion gap classification heavily relies on principles derived from Volume Spread Analysis. In VSA, volume represents the effort of market participants, while price spread represents the result. The script mathematically quantifies an anomaly: when an extended trend (measured by the Trend Maturity parameter) produces a sudden gap on extreme volume (measured by the Volume Spike Multiplier), it implies climactic transfer of inventory from strong hands to weak hands. The algorithmic detection of these specific variables provides a quantifiable method for identifying trend exhaustion without relying on lagging, bounded oscillators. ● Fractal Market Geometry By rendering both LTF and HTF structural pivots within the same visual plane, the script operationalizes the concept of fractal market geometry. Financial time series exhibit self-similarity across different scales. A pivot high on a 15-minute chart is formed by the same behavioral mechanics as a pivot high on a Daily chart, but they carry vastly different liquidity weights. The script's strict index-offset MTF architecture ensures that the geometric relationship between these distinct fractal layers is evaluated with absolute temporal accuracy, providing a mathematically sound representation of macro supply and demand overlaying micro price action. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® インジケーター
MarkitTickの投稿
2
Pivot Breakout Retest Signals [algo_aakash]Overview Pivot Breakout Retest Signals is a price action indicator that helps traders identify potential bullish and bearish retest opportunities around Classic Pivot Point levels. The indicator calculates pivot levels from a selected higher timeframe (Daily, Weekly, or Monthly) and monitors price for breakout events followed by retests of those levels. When a valid retest is confirmed within the specified window, the script displays a Bullish or Bearish signal on the chart. Features • Classic Pivot Point calculation • Daily, Weekly, or Monthly pivot timeframe selection • Automatic breakout detection • Retest confirmation logic • Bullish and Bearish signal visualization • Configurable retest window • Alert support for signal events How It Works Bullish Conditions 1. Price breaks above a Pivot, R1, or R2 level. 2. The breakout is recorded. 3. Price retests the broken level within the user-defined retest window. 4. If price closes back above the level after the retest, a Bullish signal is generated. Bearish Conditions 1. Price breaks below a Pivot, S1, or S2 level. 2. The breakdown is recorded. 3. Price retests the broken level within the user-defined retest window. 4. If price closes back below the level after the retest, a Bearish signal is generated. Inputs Pivot Timeframe Select the timeframe used to calculate pivot levels: • Daily • Weekly • Monthly Retest Window Determines how many candles are allowed between the breakout and the retest confirmation. Alerts The script includes built-in alert conditions: • Bullish Alert • Bearish Alert Alerts can be used with TradingView's notification system or connected to external workflows. Notes • Pivot levels are calculated using completed higher-timeframe data. • Signals are generated only after both breakout and retest conditions are satisfied. • The indicator is intended as an analytical tool and may be combined with other forms of technical analysis. Limitations • Signals can occur during ranging or volatile market conditions. • Not every breakout or retest will lead to sustained price movement. • Additional confirmation methods may be useful depending on the market and trading style.
Pine Script® インジケーター
algo_aakashの投稿
7
Confluence Zone Engine [CZE]# Confluence Zone Engine A structural analysis indicator that identifies support and resistance zones by clustering Anchored VWAPs and Anchored Volume Profile levels across the chart timeframe and up to three higher timeframes. Each zone is rated 1 to 5 stars based on how many independent sources cluster at the level and how diverse those sources are. This is a structural analysis tool. It marks where multiple independent technical references agree at a price. It does not place trades or suggest entries, exits, targets, stops, or position sizes. --- ## What this script does The engine runs a six-stage pipeline on every confirmed bar: **Stage 1 — Pivot detection.** Detects pivot highs and pivot lows at Fibonacci-spaced lengths (3, 5, 8, 13, 21, 34, 55, 89). Each pivot becomes an "anchor" point. Default enabled tiers are 8, 21, and 34 — selected to give fast / medium / slow coverage without redundancy. The full Fibonacci set is configurable. **Stage 2 — Per-anchor calculations.** For every anchor, the engine maintains: - An Anchored VWAP (volume-weighted average price since the anchor bar) - An Anchored Volume Profile, which produces a Point of Control (POC = most-traded price since anchor) and a Value Area (VAH and VAL = upper and lower edges of the 70% volume zone) So a single pivot generates up to 4 contributor levels: AVWAP, POC, VAH, VAL. **Stage 3 — Higher-timeframe replication.** The same pipeline (stages 1 and 2) re-runs on up to three configurable higher timeframes via non-repainting `request.security` calls. This produces a multi-timeframe view of structural anchors — pivots and AVWAPs from a 1H chart inform what the 5m engine treats as a higher-timeframe reference. **Stage 4 — Cluster building.** All contributor levels from all enabled timeframes are collected. The cluster builder walks them in price order, merging any that fall within a configurable tolerance (default 0.08% of current price; preset-adjusted per asset class). A cluster with at least the minimum-count threshold becomes a candidate zone. **Stage 5 — Star rating.** Each zone is rated 1 to 5 stars based on: - Total contributor count - Source-type diversity (how many of the 4 source categories — PH-AVWAPs, PL-AVWAPs, POCs, VAH/VAL — are present) - HTF agreement (whether contributors from multiple timeframes align) A "Premium" tier flag fires when top stars combine with HTF agreement. **Stage 6 — State machine.** Each zone is tracked through a lifecycle: - **Active** (forming, amber): the zone is currently accumulating contributors - **Pending** (blue): contributor activity has paused; waiting for price to resolve the level - **Resolved Support** (green), **Resistance** (red), or **Chop** (gray): determined by whether price moved decisively up, decisively down, or stayed range-bound after the zone activated - **Tested** (dashed border): price entered the resolved zone but has not closed past the defending edge - **Broken** (dashed orange + "Broken" label): price has closed past the defending edge - **Flipped**: if a Broken state confirms over multiple closes past a threshold, the zone repaints to the opposite role (broken Resistance becomes Support, broken Support becomes Resistance) --- ## Why this indicator is original (not a simple mashup) This is not "AVWAP indicator + Volume Profile indicator + multi-timeframe wrapper." Three design choices distinguish it from existing public indicators: **1. Anchored at every Fibonacci pivot, not at a single user-selected point.** Standard AVWAP indicators require the user to manually click an anchor point. Standard Volume Profile indicators use either a fixed session or a single anchor. This engine automatically detects pivots at multiple Fibonacci lengths and runs an AVWAP + Volume Profile from each one. The number of active anchors at any time is typically 6 to 20, generating 24 to 80 contributor levels — far more than a manually-anchored tool can produce. **2. Cross-timeframe clustering, not separate per-timeframe overlays.** The engine does not draw 5 separate AVWAPs from a 1H chart, plus 5 from a 4H, plus 5 from a daily. Instead, levels from all timeframes are collected into one pool and clustered in price space. A 1H AVWAP at 23,720 and a daily POC at 23,718 merge into a single zone marked as "two contributors from two timeframes." This produces structural information neither timeframe shows alone. **3. Compositional bias from the contributor mix.** The cluster builder records *which type* of contributor formed each zone — pivot-high AVWAPs (trapped sellers' breakevens), pivot-low AVWAPs (trapped buyers' breakevens), POCs (acceptance), VAH or VAL (fair-value edges). The directional implication of each type is summed into a "compositional bias" score. A zone built mostly from PL-AVWAPs and VAL contributions leans support; one built from PH-AVWAPs and VAH contributions leans resistance. This is an analytical lens not present in standard S/R indicators, which generally treat all levels as direction-agnostic. --- ## Mashup justification — how the components work together The four classes of technical analysis used (pivots, AVWAP, Volume Profile, multi-timeframe analysis) are not chosen arbitrarily. Each contributes a dimension the others do not, and the value comes from how they interact: **Pivots provide the anchors.** Without pivots, AVWAP needs a manual anchor and Volume Profile needs an arbitrary session. Pivots at multiple Fibonacci lengths give the engine *automatic structural anchors* spanning timescales — short-term swings, intraday swings, session-level swings. The Fibonacci spacing (3, 5, 8, 13, 21, 34, 55, 89) ensures the anchors are non-redundant: each tier has a different bar requirement and catches different swings. **AVWAP measures participant breakeven from each anchor.** This is the "where might trapped participants defend" dimension. An AVWAP from a pivot high is the volume-weighted breakeven for everyone who entered after that high (mostly net-short positions). An AVWAP from a pivot low is the breakeven for everyone who entered after that low (mostly net-long). When price returns to one of these AVWAPs, structurally those participants are at breakeven and have incentive to act. **Volume Profile measures acceptance from each anchor.** This is the "what price has been most-accepted by volume" dimension. POC is the most-traded price; VAH/VAL are the edges of the 70%-volume range. AVWAP and POC measure different things — average price vs most-accepted price — and frequently disagree. When they *do* agree at a level, that's two independent signals saying "this price matters." **Multi-timeframe replication tests for structural agreement.** A zone that exists only on the chart timeframe is one-timeframe noise. A zone where chart-TF contributors *agree with* higher-TF contributors at the same price is structural — the same level shows up no matter which timescale you measure from. The engine treats HTF agreement as a primary input to the star rating: HTF-aligned zones can earn an extra star (capped to prevent inflation). **The clustering is where the value emerges.** Individually, none of these components produce reliable levels. AVWAP gets broken constantly. POC migrates. Pivot levels get violated. But when the engine sees that the 21-pivot AVWAP, the 34-pivot POC, the 8-pivot VAL, and a 1H AVWAP all land within 0.08% of each other at the same price, that's a confluence of independent references measuring different things — and that *coincidence* is what produces structural significance. The star rating quantifies how much agreement is present. This is the mashup's purpose: not to combine indicators for their own sake, but to use convergence as a filter that turns individually noisy components into a rated structural signal. --- ## How to use the indicator **Step 1: Apply to any chart timeframe.** All settings have sensible defaults. The asset-class preset (NSE Index Futures, NSE Stock, US Future, US ETF, US Stock, Commodity, Crypto, or Custom) auto-adjusts cluster tolerance and pivot defaults. Auto-selected higher timeframes scale with the chart — a 5m chart defaults to 15m/60m/240m HTFs, while a daily chart defaults to weekly/monthly HTFs. **Step 2: Read the status panel (bottom-right).** This is the actionable summary: - "Sup" row: nearest resolved Support below current price, with point distance - "Res" row: nearest resolved Resistance above current price, with point distance - "Top zone": the highest-rated zone overall - "Data": indicator health (OK / Degraded / Critical) — if the underlying volume data is sparse, ratings are capped **Step 3: Scan the chart for "Broken" labels.** Any zone in dashed orange with a "Broken" label is currently being violated. Watch for either recovery (border returns solid) or polarity flip confirmation (zone repaints to opposite role). **Step 4: Find the active amber zone.** This is the current forming confluence. Look at the triangle shape: ▲ means the composition leans support, ▼ means it leans resistance, ◆ means neutral. The number next to the triangle is the star rating. A premium "★" prefix means HTF agreement is present. **Step 5: Use the Major S/R lines as forward references.** Bold horizontal lines mark the top 2 strongest support levels below current price and top 2 strongest resistance levels above. Labels show price, stars, and distance. **Step 6: Use the Range band as context.** The translucent aqua band marks the recent trading envelope (default last 50 bars). A narrow band means consolidation; a wide band means trending. **Step 7: Hover any element for the full breakdown.** Every box, triangle, and line has a tooltip showing total contributors, type counts, HTF alignment, state, and history. --- ## How NOT to use the indicator - **Do not treat the bias arrow as a trade signal.** It is a compositional description of contributors, not a directional forecast. A zone with a ▲ bias can still resolve as resistance. - **Do not treat a "Broken" label as a trade trigger.** It tells you a known level is failing — not that you should enter a position in either direction. - **Do not assume higher stars mean higher profit probability.** Stars measure the diversity and density of contributors, not historical performance or expected return. - **Do not rely on it for low-volume instruments.** If the data-health badge shows "Degraded" or "Critical," the engine has capped ratings and may suppress zones entirely. This is a feature; the indicator is most accurate on liquid, volume-rich instruments (index futures, large-cap stocks, major crypto). --- ## How to read the star rating Stars are a descriptive summary of confluence quality. They are not a probability of profit. - 1 to 2 stars: minimum cluster; one or two source types. Background context. - 3 stars: at least 5 contributors with 2 or more source types. Recurring intraday levels. - 4 stars: at least 7 contributors with 3 or more source types, OR 3-star with HTF agreement. - 5 stars: at least 10 contributors with all 4 source types present. Often boosted by HTF alignment. By default, only 4-star and 5-star zones get triangle markers and qualify for Top-N or Major S/R lines. This is adjustable. --- ## Visual primitives - **Confluence zones** — colored boxes marking each cluster. Boxes recolor as zones resolve. Border style indicates compromised state. - **Triangle markers** — ▲ ▼ ◆ at each formation bar. Shape encodes direction. Color encodes lifecycle state. - **Top-N S/R lines** — top 4 resolved zones by strength and recency project forward. - **HTF confluence bands** — semi-transparent bands per higher timeframe (cyan, purple, orange). - **Major S/R lines** — bold lines for top 2 supports below and top 2 resistances above current price. - **Range band** — translucent band marking recent trading range with HI / LO labels. - **Current price line** — thin dotted line at current price. - **Status panel** — bottom-right summary. --- ## Technical notes - Pine Script v6 - Non-repainting: all `request.security` calls use `barmerge.lookahead_off` - Asset-class presets adjust cluster tolerance and pivot defaults - Built-in data-integrity layer caps ratings when volume data is sparse or stale - Seven alert conditions: new zone formed, high-quality (4 to 5 star) zone, HTF aligned, price entered support, price entered resistance, data health degraded, polarity flip --- ## Important risk disclosure This indicator is provided for educational and informational purposes only and is not financial advice. Trading and investing involve substantial risk of loss, including the possible loss of all invested capital. The zones, ratings, bias shapes, and lines are descriptive summaries of structural confluence — they are not predictions of future price movement, indications of profitability, win rate, or expected return. No backtested or hypothetical performance is claimed or implied. Past zones identified by the indicator are not indicative of future results. You are solely responsible for any decisions you make. Consult a qualified, licensed financial advisor before trading. Past performance does not guarantee future results.
Pine Script® インジケーター
Market_Logic_Indiaの投稿
6
Acceptance Failure Path Map [AGPro Series]Acceptance Failure Path Map 🧠 Core Idea Did price truly accept beyond a market boundary, or did that acceptance fail and create a new reaction path? 📌 Overview / What it does Acceptance Failure Path Map is a market-structure visualization tool designed to study acceptance, failed acceptance, reclaim attempts, and continuation behavior around a defined reference range. The script maps an acceptance band, detects whether price holds above or below that band, and highlights when accepted price fails back through the boundary. It produces compact labels, a centered path zone, right-side state tags, and an AG Pro panel that summarizes the current acceptance context. It does not predict price direction, automate decisions, or claim that any acceptance event must continue. Its purpose is to make acceptance quality easier to read. 🎯 Purpose & Design Philosophy This script was built for traders who want to understand whether a move is being accepted by the market or rejected after a temporary push beyond structure. Many breakout tools mark only the breakout event. This script focuses on what happens after the breakout: acceptance, failure, reclaim pressure, and continuation risk. The design supports a patient, context-first workflow where the trader reads the path of price around a boundary instead of reacting to a single candle. ⚡ Why This Script Is Different Most tools focus on breakout signals, support and resistance touches, or simple range breaks. This script does NOT treat every break as meaningful acceptance. Instead, it builds a path map around acceptance quality, failure timing, reclaim behavior, and current risk state. The result is a cleaner view of whether price is holding acceptance or losing it. ⚙️ Methodology 1. Context Detection The script builds a reference range from recent market structure and applies an ATR-based buffer to reduce noise. 2. Reference Mapping It defines upper and lower acceptance boundaries and tracks whether price closes beyond them for the required number of bars. 3. Reaction Evaluation After acceptance appears, the script monitors whether price fails back through the boundary, attempts reclaim, or holds continuation. 4. Visual Output The chart displays an acceptance path zone, event labels, right-side state tags, and a panel summarizing the current condition. 🗺️ How to Read the Chart Zones show the current acceptance path area around the active boundary. Labels highlight acceptance above, acceptance below, acceptance failure, reclaim tests, and held acceptance. Colors separate bullish acceptance, bearish acceptance, neutral failure risk, and reclaim context. The panel shows the current path state, acceptance side, failure risk, path quality, reference range, active boundary, and next context. 🚦 Signals & States • ACCEPT ABOVE → Price has accepted above the reference boundary. • ACCEPT BELOW → Price has accepted below the reference boundary. • ACCEPT FAIL → Accepted price failed back through the boundary within the failure window. • RECLAIM TEST → Price is testing reclaim after a failed acceptance event. • ACCEPT HELD → Acceptance remained valid after the failure window. 🔔 Alerts Logic Alerts trigger when the script detects acceptance above, acceptance below, acceptance failure, or reclaim testing. These alerts are attention markers. They are not trade instructions, entry signals, or guaranteed outcomes. 🧩 Confluence Logic The context becomes stronger when acceptance quality, distance from the reference range, participation, and follow-through direction align. If acceptance appears without follow-through or quickly returns through the boundary, the failure context becomes more important. 📊 When to Use • After range breaks • Around support and resistance transitions • During breakout retests • When price is attempting to hold above or below a major boundary • When evaluating whether market structure is accepted or rejected ⚠️ When NOT to Use • Extremely illiquid markets • Very noisy low-timeframe candles • News-driven spikes with unstable spreads • Markets with no meaningful reference range • Situations where a single indicator is being used without broader context 🎛️ Key Inputs • Reference Range Length → controls how much structure is used to build the acceptance boundary. • Acceptance Bars → controls how many closes are required before acceptance is recognized. • Failure Window → controls how quickly accepted price must fail back through the boundary. • Boundary Buffer ATR → adjusts the buffer around the reference range. • Label and Panel Font Size → adjust chart readability. • Visible Band Bars and Band Projection Bars → control how the acceptance zone appears on the chart. 🖥️ Interface & Visual Design The interface is designed for a premium, clean chart view. The panel provides the current summary. The acceptance zone carries the main story. Labels are compact and spaced to avoid hiding candles. The visual hierarchy is intentionally simple: zone first, current state second, event labels third. 🧪 Practical Usage Workflow 1. Read the AG Pro panel to identify the current path state. 2. Check whether price is above, below, or inside the acceptance path zone. 3. Review recent labels to understand whether acceptance held, failed, or reclaimed. 4. Compare the current failure risk and path quality with broader market context. 5. Use alerts only as attention markers for further review. 🔍 Interpretation Guidelines Acceptance is stronger when price remains outside the boundary with follow-through. Acceptance failure is more meaningful when price quickly returns through the boundary after appearing accepted. Reclaim tests should be interpreted as context changes, not automatic reversal signals. Held acceptance suggests the market is continuing to respect the accepted side, but it still requires confirmation from broader structure. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an automated trading system. It does not provide guaranteed buy or sell signals. It does not replace risk management, market context, or independent analysis. ⚠️ Limitations & Transparency Acceptance behavior can look different across timeframes. High volatility can create temporary false readings. Low-liquidity markets may produce unstable boundary behavior. The script is rule-based and depends on the selected settings, symbol behavior, and chart timeframe. 🧠 Market Context Notes Acceptance and failure are closely related to market structure, liquidity reaction, and participant commitment. When price breaks a boundary but cannot hold it, the failed side may become the more important context. When price accepts and holds, the market may be showing stronger directional commitment. 🧾 Use Case Examples When price accepts above a range and holds beyond the failure window, the chart may show an ACCEPT HELD context. When price accepts above a boundary but quickly closes back below it, the script may mark ACCEPT FAIL. When price returns back toward a failed boundary, the script may show a RECLAIM TEST state. 🧱 System Philosophy AGPro Series tools are built to visualize market context without turning analysis into prediction. The goal is to make structure, risk, and reaction quality easier to observe in real time. 🔐 Non-Promise Statement No script can guarantee market direction, timing, or outcome. This tool provides structured visual context only. 📉 Risk Disclosure Trading involves risk. Users are responsible for their own decisions, risk management, and position sizing. This script does not provide financial advice or guaranteed trading results. 📚 Educational Note Use this script as a learning and analysis tool for studying acceptance, failed acceptance, reclaim pressure, and continuation behavior around market boundaries.
Pine Script® インジケーター
AGProLabsの投稿
Range Control Transfer Map [AGPro Series]Range Control Transfer Map 🧠 Core Idea Who controls the range now, and did control transfer from the buyer side to the seller side or from the seller side to the buyer side? 📌 Overview / What it does Range Control Transfer Map is a range-control visualization tool built to study sideways markets where price rotates between upper and lower boundaries. The script builds a mature range, separates it into buyer-control and seller-control zones, maps the internal control transfer band, tracks acceptance through that band, scores transfer quality, monitors failed-transfer risk, and summarizes the current control state in a compact AG Pro panel. It does not predict future price, automate trades, or claim that a control-transfer event must continue. It is a structured decision-support map for reading range control, acceptance, failed transfer risk, and next-context conditions. 🎯 Purpose & Design Philosophy Many range tools answer only one question: Where are support and resistance? This script was built to answer a more useful question: Who controls the range now? The design goal is to help traders separate passive sideways movement from meaningful control transfer inside a mature range. ⚡ Why This Script Is Different Most range tools draw a box, mark the high, mark the low, and stop there. This script does NOT treat every range touch as equally important. Instead, it divides the range into buyer-control and seller-control halves, watches the midpoint transfer band, checks candle body commitment, reviews volume participation, evaluates range health, and tracks whether the active control side is still protected or starting to fail. The focus is not only where the range is. The focus is who is gaining or losing control inside it. ⚙️ Methodology 1. Range Detection The script identifies a working range using recent high/low structure, ATR-normalized range height, and repeated edge interaction. 2. Range Health Scoring Range Health combines range height balance, edge-touch behavior, and current position relative to the control line. 3. Control Zone Mapping The upper half becomes the Seller Control Zone. The lower half becomes the Buyer Control Zone. The midpoint area becomes the Control Transfer Band. 4. Transfer Evaluation When price accepts through the transfer band with enough candle body commitment, the script evaluates whether buyer or seller control has transferred. 5. Transfer Quality Scoring Transfer Quality combines range health, candle body commitment, and volume participation into a 0-100 score. 6. Failure Risk Review The script monitors whether the active transfer is losing the transfer band and moving back toward control reset. 7. Visual Output The chart displays buyer/seller control zones, the control transfer band, active transfer labels, failed-transfer labels, right-side control tags, alerts, and a compact AG Pro panel. 🗺️ How to Read the Chart Seller Control Zone = the upper half of the mature range where seller-side control is evaluated. Buyer Control Zone = the lower half of the mature range where buyer-side control is evaluated. Control Transfer Band = the internal midpoint band where control handoff is judged. SELLER CONTROL = price has accepted through the transfer band in favor of the seller side. BUYER CONTROL = price has accepted through the transfer band in favor of the buyer side. BALANCE = the range is mature, but neither side has clean active control. RANGE BUILDING = the current structure is not mature enough for control-transfer mapping. Panel = summarizes control side, transfer quality, range health, failure risk, control zone, and next context. 🚦 Signals & States • CONTROL TRANSFER UP → buyer-side control transfer detected. • CONTROL TRANSFER DOWN → seller-side control transfer detected. • FAILED BUYER CONTROL → buyer-side transfer failed back through the control band. • FAILED SELLER CONTROL → seller-side transfer failed back through the control band. • BUYER EDGE CONTROL → price reacts from the lower control side. • SELLER EDGE CONTROL → price reacts from the upper control side. • BALANCE → no clean control transfer is active. • RANGE BUILDING → the structure is not mature enough yet. 🔔 Alerts Logic Alerts trigger when a major range-control event appears. • Buyer Control Transfer → buyer-side transfer detected. • Seller Control Transfer → seller-side transfer detected. • High-Quality Control Transfer → transfer quality reaches the required threshold. • Failed Control Transfer → active control transfer loses the control band. • Buyer Edge Control → optional alert for lower-edge control reaction. • Seller Edge Control → optional alert for upper-edge control reaction. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The context becomes stronger when: • The range has enough ATR-normalized height • The range has repeated edge interaction • Price accepts through the transfer band • Candle body commitment supports the transfer direction • Volume participation is not weak • Transfer Quality is above the required threshold • Failure Risk remains low after the transfer • The panel state agrees with the chart label When these elements do not align, the script avoids treating every range movement as a meaningful control shift. 📊 When to Use • Range-control review • Sideways market analysis • Buyer/seller control mapping • Failed transfer review • Range acceptance study • Crypto, stocks, futures, forex, and liquid markets • 15m, 30m, 1H, 4H, and 1D charts ⚠️ When NOT to Use • Very low-liquidity assets • Extremely noisy micro timeframes • Strong news spikes that distort range structure • Clean one-directional trend environments with no mature range • Markets where every midpoint cross is being over-interpreted • Situations where a single label is expected to act as a guaranteed signal 🎛️ Key Inputs • Range Lookback → defines the recent structure window used for range high, range low, and control line. • Minimum Range Height ATR → defines the minimum range height required for a meaningful control map. • Maximum Range Height ATR → prevents very wide structures from being treated as clean range-control maps. • Use Intraday Adaptive Range → allows intraday charts to keep useful control maps without making higher-timeframe charts too noisy. • Edge Touch Tolerance ATR → controls how close price must come to a range edge to count as an edge interaction. • Control Band ATR → controls the thickness of the internal transfer band. • Minimum Transfer Score → defines the quality threshold for meaningful control transfer. • Minimum Body / Range → controls how much candle body commitment is required. • Volume Confirm Ratio → defines how much participation is required for full volume credit. • Failure Buffer ATR → controls where an active transfer starts to fail. • Maximum Transfer Age → defines how long an active transfer can remain under review. 🖥️ Interface & Visual Design The visual hierarchy is built around the active range: The full range box defines the structure. The upper half shows seller-control territory. The lower half shows buyer-control territory. The transfer band marks the internal handoff area. Event labels mark control transfer and failed-control states. Right-side tags keep buyer control, seller control, and transfer references visible. The AG Pro panel compresses the current range-control context into a fast, readable summary. 🧪 Practical Usage Workflow 1. Read the panel Control Side. 2. Check whether the chart is Range Building, Balance, Buyer Control, or Seller Control. 3. Review where price is relative to the Control Transfer Band. 4. If a transfer label appears, compare it with Transfer Quality. 5. Watch whether Failure Risk remains low or starts rising. 6. Use the buyer and seller control zones as context areas, not automatic trade levels. 7. Confirm with broader market structure, liquidity, volume, and risk planning. 🔍 Interpretation Guidelines A buyer-control transfer does not guarantee upside continuation. A seller-control transfer does not guarantee downside continuation. A failed-transfer label means the active control idea weakened. A range-building state means the structure is not mature enough yet. The script is best used as a range-control context layer, not as a standalone trading system. 🚫 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 simple support/resistance box. It is not another generic range breakout indicator. ⚠️ Limitations & Transparency Range quality depends on timeframe and market structure. Very volatile markets can expand beyond a clean control map. Low-liquidity symbols may create unreliable edge and transfer behavior. Choppy markets can create repeated control-transfer attempts. Volume behavior can differ across crypto, stocks, futures, and forex. 🧠 Market Context Notes Ranges often move through recognizable control phases: range building → balance → control transfer → defense → failure or continuation. This script visualizes that sequence so users can avoid treating every support or resistance touch as equally meaningful. 🧾 Use Case Examples If price accepts through the transfer band from the lower half, the script may mark CONTROL TRANSFER UP. If price accepts through the transfer band from the upper half, the script may mark CONTROL TRANSFER DOWN. If an active buyer-control transfer loses the band, the script may mark FAILED BUYER CONTROL. If an active seller-control transfer loses the band, the script may mark FAILED SELLER CONTROL. 🧱 System Philosophy The goal is not to predict the next breakout. The goal is to understand control inside the range. This script treats range behavior as a sequence: structure → control zone → transfer band → acceptance → defense or failure. 🔐 Non-Promise Statement No control-transfer label guarantees continuation. No failed-transfer label guarantees reversal. No range zone guarantees support or resistance. All outputs should be interpreted as analytical context. 📉 Risk Disclosure Trading involves risk. This script is for educational and analytical purposes only. It does not provide financial advice, investment advice, or guaranteed trading outcomes. Users are fully responsible for their own decisions, risk management, and trade execution. 📚 Educational Note Use the script to study how control shifts inside mature ranges. The most useful question is not only where the range high and low are. The better question is whether control has actually transferred inside the range.
Pine Script® インジケーター
AGProLabsの投稿
Bex DRBex DR/IDR is a professional Defining Range (DR) and Initial Defining Range (IDR) indicator for session-based traders. Features: • Regular, After-hours, and Overnight DR/IDR sessions • Dynamic STD expansion levels • Automatic DR body break detection • Candle highlighting for breakout confirmation • Configurable session ranges and extensions • Optimized Pine Script v6 implementation • Built for futures, forex, indices, gold, and crypto traders The indicator helps identify: • Session ranges • Expansion targets • Breakout confirmations • Market structure shifts • Intraday liquidity movements Best suited for: • ICT / SMC traders • Futures traders • NY session traders • Scalpers and intraday traders
Pine Script® インジケーター
A-R-Vの投稿
_Neo Matrix__Neo Matrix_ is a market-state and structure reading system — built to make premium-style market structure tools freely accessible to the TradingView community. The main idea is simple: Core shows the market center. Wall shows the structural defense line. Trend Guide shows adaptive price boundaries. Stretch Zones show expansion and exhaustion areas. Dashboard summarizes the current state. Neo Matrix is intended as a visual framework for reading structure, pressure, expansion, and tactical context more clearly. The system combines several visual and contextual components: • Neo Core Neo Core acts as the central reference layer of the system, helping traders observe whether price is moving near, above, or below its main market center. • Neo Wall Neo Wall is a structural defense line designed to show the active market regime and the area where price structure is being defended. • Trend Guide Trend Guide is an adaptive boundary-based layer that helps visualize meaningful price displacement. Its upper and lower boundaries can be displayed to observe where price needs to move before the guide updates. www.tradingview.com • Stretch Zones Stretch Zones are expansion areas around the Core. They help identify when price is moving far away from its central structure and entering a stretched condition. www.tradingview.com • Candle Coloring Candle Coloring is a momentum-based visual layer that helps traders read short-term market tone directly on the candles. www.tradingview.com • State Dashboard State Dashboard is a compact panel that summarizes the current market state through three simple fields: REGIME — structural alignment between Wall and Trend Guide. FLOW — volume-flow-based pressure reading; neutral, bullish, bearish, or stronger pressure zones. WATCH — tactical watch state based on context and active setup areas. www.tradingview.com The market has its own Matrix. Neo helps you read it.
Pine Script® インジケーター
Reeduckの投稿
Liquidity Pool Detector [EXCAVO]Equal High/Low Cluster Detection with Sweep Identification and Period Reference Levels The Liquidity Pool Detector identifies where resting orders accumulate near swing levels by detecting equal highs and equal lows using swing pivot analysis with ATR-based tolerance. When price wicks through a cluster level and closes back inside, the indicator marks a sweep - the moment orders at that level were filled and price reversed direction. This is not a basic pivot-high/low indicator. The cluster-merging logic groups nearby pivots into unified levels with touch counts, and the sweep filter distinguishes between a genuine zone test and a breakout continuation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator to the price chart. Red solid lines appear above price (equal highs clusters) and blue solid lines appear below price (equal lows clusters). Previous day and week H/L reference levels appear as slightly thicker dotted lines. Step 2 → Watch for sweep markers. "Highs Swept" appears on a bar where price wicked above an equal-highs cluster and closed back below it. "Lows Swept" appears below a bar where price wicked below equal lows and closed above. These bars indicate price tested and reversed from a cluster level. Step 3 → Read the touch count on each cluster label. "Highs ×3" means three swing highs formed at approximately the same level - a stronger cluster with a stronger level formed by more historical touches. Step 4 → Check the dashboard. Dist to High and Dist to Low show how many ATR units separate current price from the nearest cluster above and below. Values below 1.0 ATR highlight in orange - price is close to a level. Nearest High and Nearest Low show the exact price of those levels. Step 5 → Set up sweep alerts to receive notifications on bar close when a cluster level is tested and rejected. Use JSON Alerts for bot integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ Swing Pivot Detection The indicator uses ta.pivothigh() and ta.pivotlow() with a configurable Swing Length (default 3). A pivot high is confirmed when the bar's high is the highest point among the surrounding N bars on each side - requiring N bars to the left and N bars to the right, so detection occurs N bars after the actual pivot forms. This lag ensures the pivot is fully confirmed and the value never changes after the bar closes. Lower Swing Length values (2-3) suit intraday timeframes; higher values (5) suit daily charts. ◆ Cluster Merging (ATR Tolerance) When a new confirmed pivot is detected, the indicator compares it against all existing clusters of the same type. If the distance between the new pivot and an existing cluster level is within the Equal Tolerance threshold (default 0.5 x ATR), the pivots are merged: the cluster level is updated to the weighted average of all touches, and the touch count increments. If no nearby cluster exists and the cluster limit has not been reached, a new cluster is created at that price level. This approach prevents visual noise from minor price variations between otherwise equal levels. ◆ Sweep Detection On each confirmed bar close, every active cluster is checked against two conditions. For equal-highs clusters: if the bar's high exceeded the cluster level AND the close is below the cluster level, a sweep is registered - price moved through the zone of resting orders and reversed. For equal-lows clusters: if the bar's low was below the cluster level AND the close is above it, a sweep is registered. A close through the level without reversal (close >= highs cluster, or close <= lows cluster) is treated as a breakout: the cluster is invalidated and removed without a sweep marker. ◆ Period Reference Levels Previous Day High/Low and Previous Week High/Low are fetched using request.security() with a confirmed-bar offset (high / low with barmerge.lookahead_on). These levels are included in the Nearest High and Nearest Low dashboard calculations alongside the detected equal-high/low clusters. ◆ Non-Repainting Design All cluster additions, sweep detections, and invalidations are gated on barstate.isconfirmed. No cluster is created and no sweep marker is placed until the bar closes. Pivot detection uses a right-bar offset that confirms the pivot on a fully closed bar. No value changes after a bar is confirmed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ ATR-Based Cluster Tolerance Most equal-high/low detectors use a fixed pip or percentage threshold that fails across different instruments and timeframes. Using ATR as the tolerance baseline means the same settings work on BTCUSD hourly (high ATR) and EURUSD daily (low ATR) without manual recalibration. The tolerance adapts to current market conditions automatically. ◆ Cluster Merging with Touch Count Instead of drawing a separate line for every swing pivot, nearby pivots are merged into a single cluster with an incrementing touch count. A cluster labeled "Highs ×3" represents three independent swing highs at the same level - a significantly stronger zone than a single untested level. The line and label update in place as new touches are added. ◆ Sweep vs Breakout Distinction The indicator explicitly separates sweep bars (wick through, close back inside) from breakout bars (close through the level). A sweep generates a "Highs Swept" or "Lows Swept" marker and an alert. A breakout silently removes the cluster. This distinction matters: sweeps are potential reversal setups; breakouts confirm continuation. ◆ Period Levels as Part of the Analysis Previous Day and Week H/L are integrated into the same framework as the equal-high/low clusters. They appear in the Nearest High/Low dashboard calculation and use the same color scheme as cluster lines, making them immediately readable alongside the dynamically detected clusters. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Compact panel showing current conditions: Dist to High - distance from current price to nearest cluster above, in ATR units; turns orange below 1.0 ATR Dist to Low - distance from current price to nearest cluster below, in ATR units; turns orange below 1.0 ATR Nearest High - exact price of the closest active cluster or period level above Nearest Low - exact price of the closest active cluster or period level below Last Sweep - most recent sweep type: Highs Swept, Lows Swept, or - (none) Swing - active swing length parameter Legend table (bottom left) explains cluster lines, period levels, and sweep markers. Both panels toggle in Dashboard settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Detection Swing Length - 3 bars (pivot confirmation window left and right; use 2-3 for intraday, 5 for daily) Equal Tolerance (x ATR) - 0.5 (cluster merge radius as ATR multiple) Max Clusters - 10 (maximum active clusters tracked per direction) Max Display Distance (x ATR) - 5.0 (clusters beyond this ATR distance from price are hidden; detection continues) Period Levels Show Prev Day H/L - ON (previous day high and low reference lines) Show Prev Week H/L - ON (previous week high and low reference lines) Visualization Bull Color - default blue (equal-lows clusters and lows-swept markers) Bear Color - default red (equal-highs clusters and highs-swept markers) Sweep Color - default orange (sweep marker labels) Show Sweep Markers - ON (labeled markers on sweep bars) Background Highlight - OFF (subtle tint when price is within one ATR of nearest cluster) Alerts JSON Alerts - OFF (enable for bot integration) Dashboard Dashboard Position - Top Right Show Dashboard - ON Show Legend - ON ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS Highs Swept - price wicked above equal-highs cluster and closed below on bar close Lows Swept - price wicked below equal-lows cluster and closed above on bar close Any Sweep - any cluster level tested and rejected on bar close ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
Pine Script® インジケーター
EXCAVOの投稿
key level -she tradesDescription: key level -she trades is a professional-grade technical analysis tool designed to identify high-probability institutional zones based on mathematical price ranges. This indicator divides a user-defined price range into 8 precise "Octave" levels, helping traders visualize where price is likely to react, reverse, or consolidate. 🚀 Key Features: Mathematical Precision: Automatically calculates 7 internal levels between your chosen High and Low prices using a balanced step logic (Gann/Murray Math style). Dynamic Touch Detection: A unique visual feedback system where lines change color (Gold) and thickness in real-time when the price touches a key level. Institutional Color Coding: Black: Major structure boundaries (Top Range, Pivot Point, and Bottom Range). Red (Neon): Premium Sell Zones for potential reversals or supply entries. Blue (Neon): Discount Buy Zones for potential long entries or demand clusters. Pro UI/UX: Clean, non-cluttering labels that display the exact price of each level for fast decision-making. Smart Alerts: Built-in alert system to notify you the moment the price hits the Pivot Point or the extreme Buy/Sell zones. 📈 How to Use: Identify the Range: Find a significant high and low on your current timeframe. Input Prices: Enter these values into the indicator settings. Execute: Look for Sell setups in the Red Zones. Look for Buy setups in the Blue Zones. Use the Black Pivot as a target or a trend-bias confirmation. Perfect For: Scalpers looking for quick rejections. Day traders identifying intraday ranges. Price Action traders who need clean, mathematical levels.
Pine Script® インジケーター
cutie_lifeの投稿
2
Breakout Retest Readiness [AGPro Series]Breakout Retest Readiness 🧠 Core Idea Is the post-breakout retest being accepted with structure, or is the breakout losing quality at the risk edge? 📌 Overview / What it does Breakout Retest Readiness is a chart-first planning tool built to evaluate what happens after a confirmed breakout and after price starts interacting with the retest pocket. The script maps the broken structure level, builds a retest pocket around it, places a risk-edge shelf beyond the pocket, and projects a target-room guide for context. It then scores the active retest environment with a 0-100 Acceptance Score and displays a clear next-action state in the AG Pro panel. This script does not predict continuation. It does not automate entries. It is designed to organize post-breakout retest context so traders can review acceptance, rejection, risk edge, and plan quality in a cleaner way. 🎯 Purpose & Design Philosophy Most breakout tools focus on the moment price crosses a level. In practice, many useful decisions happen after the break, when price returns toward the broken level and either accepts it or fails around it. This script was built for traders who want a structured retest planning layer rather than another basic breakout marker. It supports a patient workflow: wait for structure, observe the pocket, evaluate acceptance, and review risk before reacting. The design philosophy is simple: the chart should answer what state the retest is in, how strong the acceptance context is, where risk is being tested, and what the next review step should be. ⚡ Why This Script Is Different Most tools focus on detecting a breakout or grading the first retest as a standalone signal. This script does NOT try to clone a classic break-retest quality grader, and it does not print simple buy or sell commands. Instead, it works as a post-breakout readiness planner. It arms a retest pocket after a confirmed breakout, waits for price to interact with that pocket, evaluates acceptance versus rejection, tracks the risk edge, and keeps the next-action state visible in the panel. The difference is the decision layer. The script is less about saying "a retest happened" and more about answering whether the active retest environment is constructive enough to keep reviewing. ⚙️ Methodology 1. Context Detection The script identifies a confirmed break beyond recent structure using a prior high or prior low reference. The breakout must clear the structure by an ATR-normalized buffer so minor pokes are filtered. 2. Reference Mapping After a valid break, the script stores the breakout line, builds a retest pocket around it, places an invalidation shelf beyond the broken level, and projects a target-room guide from the prior structure range. 3. Reaction Evaluation When price interacts with the retest pocket, the script evaluates breakout quality, retest depth, wick rejection, volume change, and trend agreement. These components combine into a 0-100 Acceptance Score. 4. Visual Output The chart shows the active retest pocket, breakout line, risk edge, target guide, compact event labels, and the AG Pro panel. The panel summarizes retest state, acceptance score, breakout quality, risk edge, and action. 🗺️ How to Read the Chart Retest Pocket = the zone around the broken structure level where price is being evaluated after the breakout. Breakout Line = the structure level that was crossed and now anchors the retest plan. Risk Edge = the invalidation shelf beyond the retest pocket. It is a planning reference, not a stop recommendation. Target Guide = a target-room marker projected from the prior range. It is context only, not a forecast. Labels = compact state markers such as ARMED, TEST, ACCEPT, REJECT, RISK EDGE, or EXPIRE. Colors = bullish retest plans use the AGPro teal tone, bearish plans use the AGPro pink tone, watch states use indigo or amber, and risk conditions use red. Panel = the main decision interface showing retest state, acceptance score, breakout quality, risk edge, and next action. 🚦 Signals & States • Breakout Armed → a breakout retest plan has been created after price cleared structure. • Testing Pocket → price is interacting with the active retest pocket and acceptance is being evaluated. • Accepted Retest → the retest has held the pocket with enough acceptance quality to deserve review. • Rejected Retest → the retest has failed around the pocket and quality has weakened. • Risk Edge Hit → price has moved beyond the mapped risk shelf. • Expired → the retest window aged out before a constructive interaction. 🔔 Alerts Logic Alerts are available for breakout plan arming, retest pocket interaction, accepted retest readiness, rejected retest or risk-edge pressure, and expired retest plans. Each alert is an attention marker. Alerts do not represent trade instructions, guaranteed outcomes, or automated strategy decisions. 🧩 Confluence Logic The strongest acceptance context appears when the breakout quality, retest depth, wick rejection, volume behavior, and trend agreement support the same side. When these components align, the retest score improves. When the pocket is too deep, volume behavior is poor, trend context disagrees, or the risk edge is pressured, the readiness state weakens. 📊 When to Use • After clean breakouts from recent structure • During trend continuation review • When price returns toward a broken level • When the trader wants to separate constructive retests from weak post-break reactions • On liquid symbols where structure, volume, and candle behavior are readable ⚠️ When NOT to Use • Extremely low-liquidity instruments • Highly noisy lower timeframes • News-driven volatility spikes • Markets with no clear structure reference • Situations where the breakout level is too close to major external obstruction 🎛️ Key Inputs • Breakout Structure Lookback → controls the prior structure reference used for breakout detection. • Maximum Bars To Retest → controls how long the script waits for the retest pocket to matter. • Sensitivity → adjusts how strict the breakout and acceptance model should be. • Minimum Acceptance Score → defines the score needed before accepted readiness can appear. • Retest Pocket Width ATR → controls the width of the post-breakout pocket. • Invalidation Shelf ATR → controls the mapped risk-edge distance beyond the broken level. • Target Guide Range Multiple → controls the forward target-room guide. • Visual Settings → control pockets, lines, labels, label density, label size, and forward rendering. • Panel Settings → control panel visibility, location, theme, and font size. 🖥️ Interface & Visual Design The interface is built around a clean AG Pro panel and one main chart object family: the retest pocket. The pocket label is centered inside the zone so the active state is visible without needing extra clutter. The breakout line, invalidation shelf, and target guide create a simple visual hierarchy: level, risk, and room. Labels are intentionally compact and controlled by cooldown and maximum-visible settings so the chart remains active without becoming crowded. 🧪 Practical Usage Workflow 1. Read the panel state. 2. Locate the active retest pocket. 3. Check whether price is testing, accepting, rejecting, or pressing the risk edge. 4. Compare the Acceptance Score with the breakout quality. 5. Use the action row as a review prompt, not as an instruction. 🔍 Interpretation Guidelines The Acceptance Score should be read as context quality, not certainty. A higher score means the current retest has cleaner structural behavior under the script's rules. A lower score means the retest is less constructive, too deep, poorly supported, or not aligned with trend context. The Risk Edge matters because a retest can look acceptable for a few bars and still lose structure if price pushes beyond the invalidation shelf. The panel keeps that condition visible. 🚫 What This Script Is NOT This script is not a prediction engine. This script is not financial advice. This script is not an auto-trading system. This script does not provide guaranteed signals. This script is not a generic support and resistance map. This script is not a clone of a first-retest grading tool. ⚠️ Limitations & Transparency The script is rule-based and depends on the selected lookback, timeframe, and market structure. Different symbols can produce different retest behavior. Lower timeframes may show more noise. Higher timeframes may produce fewer but stronger events. Volatility changes can affect pocket size, risk-edge distance, and event frequency. Users should interpret every output within broader market context. 🧠 Market Context Notes Breakout retests are most useful when structure is clear, liquidity is sufficient, and price has enough room to continue without immediate obstruction. Volume behavior can add context, but volume data quality varies across markets. When volume is unreliable, the script treats that component more neutrally. The retest pocket is not a guaranteed support or resistance zone. It is a structured review area around the broken level. 🧾 Use Case Examples When price breaks above recent structure and later returns to the pocket with a controlled pullback, the script can mark the retest as Testing Pocket or Accepted Retest depending on score quality. When price breaks below structure but quickly pushes back above the pocket and pressures the mapped risk edge, the script can mark rejection or risk-edge pressure. When a breakout never returns to the pocket within the selected time window, the script can expire the plan instead of keeping old context alive. 🧱 System Philosophy AGPro tools are designed to support structured chart reading. The goal is not to add more random signals, but to turn market behavior into clearer states, cleaner context, and better review discipline. Breakout Retest Readiness follows that philosophy by turning a common post-breakout question into a visible planning workflow. 🔐 Non-Promise Statement No script can confirm future price direction with certainty. This tool organizes retest context. It does not promise continuation, reversal, profit, or accuracy. 📉 Risk Disclosure Trading involves risk. All outputs from this script are educational and analytical in nature. Users are responsible for their own decisions, risk management, position sizing, and market interpretation. This script does not provide financial advice. 📚 Educational Note Use the script to study how breakouts behave after price returns to the broken level. The most useful insight is often not the breakout itself, but how the market reacts when the level is tested again.
Pine Script® インジケーター
AGProLabsの投稿
Reward Room Analyzer [AGPro Series]Reward Room Analyzer 🧠 Core Idea Does the chart offer enough clean reward room before the next major obstacle? 📌 Overview / What it does Reward Room Analyzer is a chart-overlay planning tool designed to evaluate whether the current price area has enough practical space before the next meaningful obstacle. Instead of projecting a take-profit ladder or calculating position size, the script studies the distance from current price to the nearest target-side obstacle, the opposite invalidation reference, room-to-risk ratio, trend support, clean-air structure, and volatility fit. These inputs are converted into a 0-100 Reward Room Score with a clear state such as Open Room, Watch Room, Thin Room, Blocked Path, Risk Heavy, or No Room. The script produces a forward reward room corridor, nearest obstacle rail, invalidation reference rail, compact chart labels, alert conditions, and a clean AGPro planning panel. It does not predict price movement, automate execution, or promise that any target will be reached. 🎯 Purpose & Design Philosophy This script was built to solve a common planning problem: a setup can look attractive, but the path ahead may already be blocked by nearby structure, poor room-to-risk, or excessive invalidation distance. Reward Room Analyzer helps traders review the quality of the space ahead before treating a setup as actionable. It supports a planner mindset: check the available room, identify the obstacle, compare room against risk, and then decide whether the chart deserves more attention. It is designed for traders who care about trade planning, target path quality, risk awareness, and cleaner decision structure rather than another generic signal marker. ⚡ Why This Script Is Different Most tools focus on drawing take-profit levels, R-multiple ladders, Fibonacci extensions, or basic risk/reward boxes. This script does NOT build a TP ladder, position-size calculator, profit tracker, or entry signal system. Instead, it asks a narrower decision question: is there enough clean reward room before the next obstacle, or is the path already too thin, blocked, or risk-heavy? ⚙️ Methodology 1. Context Detection The script selects the active target side using Auto Side, Long Room, or Short Room. Auto Side weighs trend support and available room. 2. Reference Mapping It maps confirmed obstacle pivots, the nearest target-side rail, the opposite invalidation reference, and ATR-normalized reward room. 3. Reaction Evaluation It scores the room using distance to obstacle, room-to-risk ratio, clean-air structure, trend agreement, risk distance, and volatility fit. 4. Visual Output It displays the active reward corridor, centered corridor label, obstacle/invalidation rails, compact labels, alerts, and an AGPro panel. 🗺️ How to Read the Chart Reward Room Corridor = the forward space between current price and the nearest target-side obstacle. Nearest Obstacle Rail = the first meaningful structural barrier in the selected target direction. Invalidation Reference = the opposite-side reference used to estimate risk distance. Labels = compact state markers showing the current reward-room condition and score. Colors = teal and indigo suggest stronger room quality, amber suggests caution, and pink/red suggests weak or blocked room. Panel = summarizes reward score, reward room, obstacle, room-to-risk, target side, and next action. 🚦 Signals & States • Open Room → reward room is wide enough, room-to-risk is acceptable, and risk is not excessive. • Watch Room → context is acceptable but not strong enough for the open-room state. • Thin Room → the nearest obstacle is too close. • Blocked Path → room-to-risk is weak relative to the invalidation reference. • Risk Heavy → invalidation distance is too large compared with the available room. • No Room → conditions are not strong enough for planning attention. 🔔 Alerts Logic • Open Reward Room → triggers when the script enters the Open Room state. • Watch Reward Room → triggers when watchable room appears without reaching Open Room. • Blocked Reward Path → triggers when room-to-risk becomes structurally blocked. • Thin Reward Room → triggers when the nearest obstacle is too close. • Risk Heavy Room → triggers when invalidation distance is heavy relative to room. Alerts are attention markers. They are not trade instructions. 🧩 Confluence Logic Reward room quality improves when the target-side distance, room-to-risk ratio, clean-air structure, trend agreement, balanced risk distance, and stable volatility align. The strongest read appears when the corridor is visibly open and the panel confirms sufficient room with a strong score.
Pine Script® インジケーター
AGProLabsの投稿
SuperTrend Flip Zones [AGPro Series]# SuperTrend Flip Zones 🔷 OVERVIEW SuperTrend Flip Zones is a trend-following overlay designed for traders who appreciate the clarity of SuperTrend, but want a more selective and more structured version of it on the chart. Traditional SuperTrend tools are popular because they are simple: the line flips, the color changes, and the chart immediately prints a directional signal. That simplicity is useful, but it also creates a familiar weakness. In many market conditions, raw SuperTrend flips can appear too early, too close to noise, or without enough expansion to show that a genuine directional transition is taking hold. This script was built to solve that exact problem. Instead of treating every SuperTrend direction change as equally meaningful, SuperTrend Flip Zones evaluates the quality of the flip itself. Only qualified flips are promoted into visible BUY / SELL events, and each accepted signal creates a forward-projecting support or resistance zone built around the new SuperTrend structure. The result is not just another SuperTrend clone with different colors. It is a more selective, more chart-aware framework that helps traders judge whether a flip is worth paying attention to, and where the new trend should continue to defend itself after that flip occurs. 🔷 WHAT MAKES THIS DIFFERENT The biggest difference is that this script does not stop at the flip. Most SuperTrend indicators on the platform focus on one task only: detect the directional switch and mark it immediately. SuperTrend Flip Zones takes a broader view. It asks two additional questions: 1. Was the flip strong enough to deserve attention? 2. After the flip, where is the live structural zone that the new trend is expected to protect? That design choice creates a very different chart experience. Instead of receiving every mechanical transition equally, the user sees a filtered signal environment. Weak flips can be ignored, while stronger flips remain visible and are reinforced by an ATR-based zone that extends forward. This makes the tool useful not only at the exact moment of the flip, but also in the bars that follow, when traders are deciding whether the move is still being respected. It also creates clear separation from other AGProLabs tools in the same family. This is not a pullback-quality script. It is not focused on grading retracements inside an already established trend. It is focused on the transition point itself, and on the acceptance zone created by that transition. 🔷 CORE LOGIC The script is built around a custom SuperTrend engine using the selected ATR model, source, and multiplier. When the direction flips, the script does not blindly trust the event. The flip is scored through a multi-factor quality model that examines: - candle body efficiency, - range expansion relative to ATR, - price separation from the active SuperTrend line, - alignment with a trend EMA, - maturity of the prior trend leg before the reversal occurred. Only flips that meet the minimum quality threshold are accepted. Once a bullish or bearish flip qualifies: - a BUY or SELL signal is printed, - the signal can be promoted to BUY+ or SELL+ when the score is stronger, - a rectangular support or resistance zone is created around the new SuperTrend level, - that zone is extended forward to provide ongoing structure. This makes the indicator useful both as a signal filter and as a post-signal map. 🔷 WHY THE ZONES MATTER A standard SuperTrend line tells you where the trailing stop or directional boundary currently sits. This script adds another layer by converting qualified flips into live zones. Those zones are important because they help visualize where the market should continue to accept price if the new directional phase is healthy. In bullish conditions, the zone behaves like a dynamic support belt around the fresh SuperTrend structure. In bearish conditions, the zone behaves like a dynamic resistance belt. If price continues to respect that zone, the flip remains structurally valid. If price loses the zone, the chart communicates that the new directional state is weakening or failing. This produces a more practical read than a line alone, especially for traders who do not always enter on the exact signal bar and instead evaluate continuation quality after the move begins. 🔷 VISUAL DESIGN The script is designed to look polished and organized without overloading the chart. Visual elements include: - bullish and bearish SuperTrend line states, - restrained BUY / SELL labels, - right-extending flip zones, - soft trend cloud for directional context, - compact AGPro panel with merged header row, - configurable panel placement, - dark and light theme support, - adjustable label and panel text sizing. The goal is to keep the chart premium and readable rather than dense and noisy. 🔷 HOW TO USE IT SuperTrend Flip Zones is most useful for traders who want a higher-quality directional read rather than every raw SuperTrend crossover. A typical workflow is: - use the line and cloud to identify the active directional state, - wait for a qualified BUY or SELL rather than reacting to every raw flip, - monitor the projected zone as a live support or resistance area, - observe whether price continues to defend that zone or loses it. This makes the script suitable for discretionary trend-following, continuation analysis, and cleaner overlay-based chart reading. 🔷 BEST FIT This tool is especially useful for: - traders who already use SuperTrend but want cleaner signal selection, - traders who prefer support / resistance style context after the flip, - users who want a premium visual overlay without excessive label density, - trend traders who want a more selective buy sell workflow. 🔷 TRANSPARENCY This is an analytical indicator, not a trading strategy. Like all trend-following tools, it can become less effective in highly compressed or directionless market conditions. The filtering logic is designed to reduce weak transitions, but it does not replace chart context, timeframe awareness, or risk management. All logic is based on confirmed bar data inside the script framework. The purpose is to organize price action more clearly, not to guarantee future market behavior.
Pine Script® インジケーター
AGProLabsの投稿
Value Shift Ladder [AGPro Series]Value Shift Ladder 🔹 Overview Value Shift Ladder is a market-structure mapping tool that extracts the most volume-accepted price shelves from a rolling lookback window and arranges them, in creation order, as the rungs of a ladder. Each rung is a volume-weighted zone where the market has recently spent the most time and traded the most contracts. The script then tracks how price interacts with every rung through a full Held → Broken → Reclaimed lifecycle and summarizes the entire chain into one readable ladder state: Rising, Falling, Mixed, Broken, Reclaiming, Building, or Neutral. The goal is not to predict direction and not to produce buy or sell signals. The goal is to give the chart reader a continuously updated answer to one question: where is the market's current fair-value region, how is that region moving over time, and which prior value shelves are still relevant versus which have been abandoned. This makes the tool useful as a structural reference for volume-profile readers, auction-theory traders, and anyone who builds a bias from accepted-value migration rather than from trend lines or moving averages. 🔸 Unique Edge Most volume-based tools either draw a single static profile snapshot, or plot every candidate level and leave the reader to filter. Value Shift Ladder does three things differently: Multi-shelf chronological ladder. Instead of producing one value band, the script maintains a ranked set of up to eight volume-accepted shelves and arranges them in the order they were first registered. This preserves the migration history of accepted value instead of collapsing it into one average. Proximity-gated visualization. Only shelves within a configurable ATR distance from current price are drawn on the chart, counted in the panel, and fed into the ladder direction state. Distant historical shelves exist in memory but do not clutter the chart or bias the readout — the ladder always reflects the value structure that is actually relevant to the current bar. Adaptive, confidence-aware breaks. A shelf is not broken on a single close outside its band. Young shelves are strongly protected (3.0 × ATR), maturing shelves require a medium distance (1.5 × ATR), and fully-aged shelves use the user-defined break distance. Shelves that have been re-confirmed multiple times gain a 2× confidence multiplier on top of that, preventing established value regions from being lost to a single volatility spike. 🔸 Methodology 1) Volume Profile Construction The script divides the rolling lookback window into equal price bins and distributes each bar's volume across every bin it touches, proportional to range coverage. Zero-range bars are assigned to their single bin. This produces a volume-weighted histogram of the lookback period. 2) Shelf Extraction The top-K bins by volume are selected iteratively. After each pick, the chosen bin and its ATR-neighborhood are zeroed out before the next pick, enforcing a minimum separation between shelves and preventing a single high-volume cluster from dominating every rung. Each surviving bin becomes a shelf, anchored at its bin-center price. 3) Shelf Merging and Confidence On every refresh, newly extracted shelves are checked against existing ones. If a new shelf falls within the ATR separation of an existing non-broken shelf, the existing shelf's volume is refreshed and its confidence score is incremented. Otherwise a new shelf is registered. Confidence is capped at ten and used downstream to scale break tolerance. 4) Lifecycle State Machine Each shelf carries one of three states — Held, Broken, or Reclaimed. Held flips to Broken when price closes beyond an adaptive break distance for three recent bars. Broken flips to Reclaimed when price dwells back inside the band for a user-defined number of bars. Reclaimed auto-promotes to Held once the shelf has stabilized past a short age threshold. 5) Ladder Direction Proximity-filtered active shelves are sorted by creation order. The last one, two, or three rungs are compared to produce a single state: Rising if the sequence is monotonically higher, Falling if lower, Mixed if non-monotonic, plus transient overrides for Broken, Reclaiming, Building, or Neutral conditions. 6) Pruning Stale broken shelves expire after a timeframe-aware window. A hard cap of ten active shelves is enforced, with broken shelves removed first when the cap is hit. 🔹 Signals and Alerts The script provides four deterministic state-change alerts, all tied to closed-bar transitions: — New Ladder Step Formed: fires when a new volume-accepted shelf is first registered. — Ladder Step Held: fires when an existing shelf is re-confirmed by the rolling profile. — Ladder Step Broken: fires when a held shelf transitions to broken. — Ladder Step Reclaimed: fires when a broken shelf transitions back to reclaimed. These alerts describe structural state changes inside the indicator logic. They are not trade signals and do not imply expected profitability, win rate, or directional certainty. 🔸 Key Inputs — Profile Mode (Auto / Manual): Auto derives lookback and refresh from the chart timeframe. Manual exposes both for full control. — Manual Lookback (bars): Size of the rolling window used to build the profile. — Manual Refresh Interval (bars): How often the profile is rebuilt. — Profile Resolution (bins): Number of price bins the range is divided into. — Target Shelf Count: Maximum number of shelves kept active. — Min Volume Ratio: Minimum fraction of the top-bin volume a bin must hold to qualify as a shelf. — Min Shelf Separation (ATR): Minimum ATR distance between two shelves. — Break Distance (ATR): Fully-aged break tolerance. — Reclaim Dwell Bars: Bars needed inside the band to flip Broken to Reclaimed. — Max Visible Distance (ATR): Proximity gate for drawing and counting shelves. — Display options: panel position, panel font size, on-chart label size, alerts toggle. 🔹 How to Use Value Shift Ladder is designed as a structural reference rather than a signal engine. Typical reading workflows include: — Bias framing. Read the Ladder state first. Rising or Falling indicates a one-sided migration of accepted value; Mixed indicates balance; Broken or Reclaiming highlights an active transition. — Dominant reference. The Dominant row in the panel highlights the nearest held or reclaimed shelf within two ATR of price. Use it as the closest structural reference for scenario planning, not as an execution level. — Proximity discipline. Because shelves more than the configured ATR distance away are not drawn, the ladder always reflects value structure that is currently relevant. When no shelves are visible, the market is between value regions — a context in which mean-reversion assumptions weaken. — Confluence. The tool is designed to be combined with independent confirmation such as session structure, higher-timeframe bias, or volume analysis. It is not meant to stand alone as a decision source. 🔸 Limitations and Transparency — Volume profile quality depends on the instrument's volume reporting. On symbols with unreliable or synthetic volume, shelf placement may drift. — The profile is recomputed on the close of refresh bars. Intrabar readings on the current bar can change until the bar closes; state transitions evaluate the last three bars for breaks and the reclaim-dwell window for reclaims, so fresh transitions can flip until those bars close. — On extremely illiquid sessions or instruments with frequent volatility spikes, the adaptive-break logic can delay transitions by design. This is a tradeoff in favor of stability. — Past structural behavior at a shelf does not guarantee future behavior. The tool does not forecast direction and is not a trading strategy. 🔹 Risk Disclosure This script is a structural visualization tool provided for educational and analytical purposes. It is not financial advice, not a trading strategy, and not a signal service. All trading involves risk of loss. Past market behavior is not indicative of future results. Users are fully responsible for their own trading decisions and for independently verifying the tool's behavior on their chosen instruments and timeframes before relying on it for any purpose.
Pine Script® インジケーター
AGProLabsの投稿
Rejection Block Quality [AGPro Series]Rejection Block Quality 🔹 OVERVIEW Rejection Block Quality is an ICT-inspired detector that identifies long-wick rejection candles at swept swing pivots and grades each block by objective quality criteria. Unlike Order Block logic — which anchors to the last opposite-direction body before displacement — a Rejection Block (RB) is born from a wick that pierces a prior swing liquidity pool and closes back inside it, with the body confirming displacement on the follow-through bar. The rectangle is drawn from the wick base to the candle body, capturing the exact zone where smart money absorbed the sweep. 🎯 UNIQUE EDGE Three design choices separate this tool from generic wick or order block indicators: • Swing-pivot sweep requirement — a rejection is only counted when price sweeps a confirmed swing high or low before the reversal close. Stand-alone wick patterns without liquidity context are filtered out. • Displacement confirmation window — the candle following the rejection must travel at least 0.6× ATR in the reversal direction, within a 1–5 bar lookahead. No displacement, no block. • Quality tiering (A / B / C) from three orthogonal factors — wick-to-body ratio, displacement magnitude, and untested freshness. An exceptional wick ratio (≥5× body) promotes a block to A tier regardless of other scores, preserving rare high-conviction rejections. 🛠️ METHODOLOGY Detection pipeline on every bar: 1. Confirm a pivot sweep using a user-configurable lookback (default 5 bars each side). 2. Check the wick-to-body ratio against a minimum threshold (default 1.8×), with the dominant wick on the sweep side. 3. Queue the candle as a pending block and wait for displacement confirmation. 4. Measure displacement as price travel from the body reference over 1 to 5 bars, normalized by ATR. 5. On confirmation, draw the RB zone from the wick base to the body, record the tier, and begin lifecycle tracking. Zone lifecycle tracks four events — test (price enters the zone), hold (price exits without a body close through the far edge), break (body close through the far edge), and near miss (price approaches within a configurable ATR band without entering). All events are edge-detected to prevent inflated counts when price lingers near a zone. 📊 SIGNALS & ALERTS • New block formation label — A / B / C tier plus wick ratio, placed with anti-collision offset. • Test markers (T) — one per zone entry event, with cooldown to prevent visual clutter. • Break markers (B) — placed when a zone is invalidated by a body close. • Wick border highlight — thick colored line on the originating rejection candle. • Alerts — configurable minimum tier (A, B, or C) fires once per bar close for each qualifying new block. ⚙️ KEY INPUTS • Detection — Pivot Length, Min Wick-to-Body Ratio, ATR Length, Min Displacement (× ATR), Displacement Confirm Window. • Zone Management — Max Active Zones per Side, Zone Right Extension, Near-Miss Distance, Near-Miss Cooldown, Break Requires Full Body Close. • Visuals — Show Zones, Show Tier Labels, Highlight Rejection Wick Border, Show Test / Hold / Break Markers, Zone Fill Opacity, Label Font Size. • Panel — Show Panel, Panel Location, Panel Font Size, Panel Theme (Dark / Light). • Alerts — Minimum Tier for Alerts. 🧭 HOW TO USE Start on a higher timeframe (4H or 1D) to identify macro RB zones, then drill down to execution timeframes for entries. Treat A-tier blocks as the highest-conviction zones, B-tier as situational, and C-tier as context-only. Combine with trend filters, higher-timeframe structure, and risk management — a Rejection Block is a zone of interest, not a standalone buy or sell signal. Use the panel statistics to evaluate how the selected symbol and timeframe have historically respected these zones before committing to them in live decision-making. ⚠️ LIMITATIONS & TRANSPARENCY This indicator is a structural detector, not a trading strategy. It does not forecast price direction, generate entry or exit orders, or calculate position sizing. The Success Rate statistic reflects how often past tests on detected zones held versus failed within the visible history — it is a descriptive metric, not a performance projection. Zone detection is historical and reactive: a block only appears after the displacement bar closes, so interpretation on live-forming bars is tentative. Performance varies by symbol, timeframe, and market regime. ⚠️ RISK DISCLOSURE Trading involves substantial risk of loss. Past behavior of any pattern does not guarantee future outcomes. Use this tool as part of a complete analytical framework that includes your own risk management, position sizing, and broader market context. Nothing in this indicator or description constitutes financial advice.
Pine Script® インジケーター
AGProLabsの投稿
8
Adaptive Volume Concentration Levels + Volume-Price Shift BoxDescription Adaptive Volume Concentration Levels + Volume-Price Shift Box combines two powerful market analysis concepts into one streamlined tool: adaptive volume-based support and resistance mapping, and a real-time volume-price flow dashboard. The script identifies the most meaningful price zones based on where volume has concentrated over a chosen lookback range, helping highlight areas where the market has shown strong interest. At the same time, it displays a compact shift box that evaluates price, volume, VWAP, OBV, A/D behavior, and momentum to estimate whether market pressure is currently bullish, bearish, or neutral. This makes the script useful for traders who want both structural levels and contextual order-flow style bias in a single indicator. How It Works The script has two main components: -Adaptive Volume Concentration Levels It scans historical price action over a customizable lookback period. Price is divided into bins, and volume is accumulated into those bins. The script then selects the highest-volume zones and converts them into horizontal support/resistance levels. A higher timeframe option and smoothing feature can be used to reduce noise and reveal more stable levels. Levels can be displayed with custom colors, line styles, transparency, and optional percentage labels. - Volume-Price Shift Box The dashboard evaluates several internal conditions: VWAP trend and price distance from VWAP OBV trend and OBV acceleration A/D line trend Relative volume versus average volume Price momentum Weighted bullish and bearish scores are calculated from these components. The final shift score determines whether the current state is: Bullish Bearish Neutral The box then displays key readings such as shift strength, volume vs average, VWAP distance, shift duration, and OBV state. Key Features Adaptive volume-based support and resistance detection Dual SR logic for identifying important high-volume price zones Optional higher timeframe processing for cleaner structure Price smoothing to reduce noise in level calculation Customizable level count, bin density, transparency, labels, and styling Real-time shift box with bullish, bearish, or neutral bias Weighted scoring model using VWAP, OBV, A/D, volume, and momentum Shift strength readout for quick bias confirmation Shift duration tracking to show how long the current condition has persisted Clean visual layout that combines structure and flow into one script How to Use Start by applying the indicator to your chart and adjusting the level settings based on your trading style. For the volume concentration levels: Increase the lookback if you want broader, more established levels. Increase the number of bins for finer price granularity. Use the minimum volume filter to remove weaker levels. Turn on the higher timeframe option if you want more stable zones from a broader market perspective. For the shift box: Use the default settings first, then adjust sensitivity and component weights to better match your market and timeframe. Watch for bullish or bearish shifts when price approaches one of the plotted volume levels. Use the strength reading to judge whether the bias is weak or decisive. Monitor duration to see whether the current directional pressure is fresh or extended. A practical workflow is: Use the horizontal levels as reaction zones Use the box to judge whether current pressure supports continuation or rejection from those zones Combine both with your existing entry and risk management rules How It Helps How It Helps This script helps simplify decision-making by combining where price is likely to react with how price and volume are behaving right now. The volume concentration levels help traders identify: likely support and resistance potential reaction zones areas of prior market agreement or interest The shift box helps traders evaluate: whether buyers or sellers currently have control whether momentum and volume are aligned whether market pressure is strengthening or fading Used together, the tool can help with: trade location directional confirmation filtering weak setups improving timing around important price zones It is especially useful for traders who want a clearer view of both market structure and current flow conditions without cluttering the chart with multiple separate indicators. Disclaimer This indicator is provided for informational and educational purposes only. It does not constitute financial advice, investment advice, trading recommendations, or an offer or solicitation to buy or sell any financial instrument. All indicator outputs, classifications (including bullish, bearish, or neutral states), and visual elements are derived from historical market data using user-defined parameters. These outputs are interpretive in nature and do not predict future market performance or guarantee any specific result. Trading financial instruments involves substantial risk, including the risk of loss exceeding initial capital. Market conditions may change rapidly due to factors outside the scope of this indicator, including but not limited to economic events, news releases, liquidity conditions, execution quality, and slippage. The developer assumes no responsibility or liability for any trading decisions, losses, or damages arising directly or indirectly from the use of this indicator. Users are solely responsible for evaluating the suitability of this tool for their own trading objectives, risk tolerance, and market conditions. Past performance, indicator behavior, or historical alignment of signals does not guarantee future results. Use of this indicator constitutes acceptance of these terms.
Pine Script® インジケーター
IndicatorEliteFlowの投稿