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Seller Exhaustion DetectorSeller Exhaustion Detector (SED) Overview Seller Exhaustion Detector identifies the point where a downtrend's selling pressure is spent and buyers begin absorbing supply — the transition from distribution to accumulation. Instead of reacting to a single pattern, it scores seven independent exhaustion footprints and only confirms a signal when structural gates prove the low is actually holding. How It Works The detector scores confluence across a 16-point scale: Liquidity Sweep + Reclaim (3 pts) — tracks untapped pivot-low liquidity pools; a wick below a pool followed by a close back above it marks a stop run absorbed by passive buyers. CVD Bullish Divergence (3 pts) — price makes a lower low while session-reset cumulative volume delta makes a higher low: sell orders are no longer moving price. RSI Bullish Divergence (2 pts) — momentum fails to confirm the new price low. Sell-Volume Dry-Up (2 pts) — red-candle volume contracts near the lows; motivated sellers are done. Absorption (2 pts) — elevated volume, compressed range, close in the upper half: supply being eaten without downside progress. Higher Low (2 pts) — first structural higher pivot after the low. Selling Climax Watch (1 pt) and Confirmed Wick Rejection (1 pt) — capitulation context and next-bar-confirmed hammer rejections. A score alone never fires a signal. Three hard gates must also pass: the low must have held for a configurable number of bars (or a fresh sweep-reclaim substitutes as confirmation), price must be above a rising/flat EMA9, and fast volume delta must be positive. This eliminates premature signals printed while price is still making new lows. Signals Orange circle — selling climax (capitulation bar; watch window begins) Gold diamond — liquidity pool swept and reclaimed EXHAUSTION label — confirmed exhaustion (score + all gates) ACCUMULATE label — post-exhaustion structure reclaim with positive delta STOP-OUT label — the exhaustion low broke; the signal is invalid Dashboard — live score breakdown and gate status, with selectable text size Recommended Use Built for 1-minute to 5-minute intraday charts on liquid symbols. Use EXHAUSTION as location, ACCUMULATE as trigger, and the invalidation print as a hard exit reference. Tune Climax Multiplier down (~1.7) and Pivot Left/Right to 3–4 for faster symbols. Limitations Volume delta is approximated from candle direction (up-volume minus down-volume), not exchange bid/ask data, so absorption and CVD reads are estimates. All components are derived from OHLCV and confirm after the fact by design — the detector locates high-probability reversal conditions; it does not predict bottoms. Not financial advice.
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của dharshinibmie
PO3 / AMD MatrixThis script is a visual mapping tool for the ICT Power of 3 (PO3) / AMD framework. It uses the foundational ICT rule that "Time Supersedes Price" by segmenting your daily trading chart into three highly specific algorithmic time windows. Here is exactly how the script breaks down the price delivery cycle: 1. Accumulation Phase (Default: 20:00 - 00:00) The script starts the daily cycle by tracking the initial consolidation range where "Smart Money" is quietly building positions. Visuals: It dynamically draws a gray box wrapping the highest high and lowest low of price during this specific time window. Purpose: This establishes the initial liquidity boundaries for the upcoming sessions. 2. The True Opening Price (Midnight Open) At exactly 00:00 (or whatever time you set the Manipulation phase to begin), the algorithm locks in the "True Opening Price". Visuals: The script draws a thick, solid white line starting at that opening candle. Purpose: This line is projected forward across the rest of the day. It acts as your primary benchmark. Any move below this line is considered "Discount" (cheap/manipulation for longs) and any move above is "Premium" (expensive/manipulation for shorts). 3. Manipulation Phase / Judas Swing (Default: 00:00 - 08:30) This is the engineered move designed to trap retail traders by hunting the liquidity built up during the Accumulation phase. Visuals: The script draws a red box that dynamically traces the highs and lows during this window. Purpose: By contrasting this red box against your solid white "True Open" line, you can easily identify the Judas Swing—the fakeout wick that sweeps stops before reversing into the true trend. 4. Distribution Phase (Default: 08:30 - 16:00) This is the true directional expansion of the day, yielding the bulk of the daily candlestick body. Visuals: A green box is drawn dynamically wrapping the price action during this high-volatility window. The True Open line is also extended straight through this box so you can see how far price has expanded from the daily baseline. Customization: All the session times (Accumulation, Manipulation, Distribution) are completely editable in the settings. You can adjust the times to match your broker's timezone or to target specific micro-macros within a session. The colors for all boxes and the opening line are also fully customizable!
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của greymyst
Momentum Squeeze Breakout EngineDescription *Momentum Squeeze Breakout Engine* is a quantitative, trend-following breakout strategy engineered to capture explosive directional moves emerging from periods of asset compression (squeezes). By combining precise volatility boundaries, structural market sentiment filters, and micro-momentum triggers, this strategy systematically avoids false breakouts. ### Core Mechanics & Features 1. Volatility Squeeze Identification The foundation of this strategy relies on the relationship between *Bollinger Bands* and *Keltner Channels. When the Bollinger Bands contract *inside the Keltner Channels, it confirms a highly compressed, low-volatility environment (highlighted by the subtle blue background zones). This indicates stored market energy primed for release. 2. Rigid Structural Macro Filter (200 EMA) To eliminate counter-trend traps, the strategy utilizes a strict 200-period Exponential Moving Average (EMA) as a macro baseline. Long entries are strictly prohibited if the asset is printing below this line, ensuring you only trade high-probability expansions aligned with the dominant institutional trend. 3. Holistic Intra-Bar Bias Rather than relying purely on close prices, the script calculates an internal *Holistic Bias* engine. It evaluates where the close falls relative to each bar's high-low range over a specific structural lookback period. A valid breakout requires a positive cumulative sentiment bias (cumBias > 0), ensuring authentic accumulation is taking place. 4. Micro-Momentum (Rate of Change) Filter To prevent entering "slow drift" scenarios or low-volume fakeouts, a 3-period Rate of Change (ROC) velocity check is integrated. A breakout will only trigger an entry if the price action demonstrates immediate expanding velocity (priceROC > 0). # Execution Rules * *BUY Signal:* Generated when a compression zone has broken out within the last 3 bars, the price crosses above the Upper Bollinger Band, the macro trend is bullish (Price > 200 EMA), holistic bias is positive, and positive momentum velocity is confirmed. * *EXIT Signal:* Generated when the price crosses below the Lower Bollinger Band following a squeeze or when the holistic bias shifts negatively, functioning as a structural trailing mechanism. * *Signal Spacing:* Features a built-in 15-bar cooldown rule to prevent over-trading and signal clustering within volatile consolidation nodes. ### Best Practices * *Intended Timeframe:* Optimized for the *1-Hour (1H)* chart. * *Assets:* Best suited for high-liquidity assets including Major Crypto Pairs (BTC, ETH), Blue- Chip Equities, Indices and Major Forex Pairs. * *Risk Management:* Default settings utilize a 100% equity allocation model for raw backtesting transparency, but traders should scale their position sizes according to their personal risk tolerances. ### Disclaimer *Financial and Trading Risk Warning:* This script is an educational and analytical tool designed to demonstrate quantitative breakout concepts using historical data. It is published as an open-source resource for informational purposes only and does not constitute financial, investment, or trading advice. Past performance is not indicative of future results. Market conditions change constantly, and systematic strategies can experience significant drawdowns. Automated trading involves substantial risk of capital loss. Never trade with money you cannot afford to lose. The author assumes no liability or responsibility for any financial losses incurred from the use or modification of this code. Always perform your own independent research and forward-test on a demo account before risking live capital.
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của Pridarasx
Cyberbikes OBV + Volume SMA/EMAHow it works: obv = standard On-Balance-Volume (with your zero-volume guard kept). vol = raw bar volume. Both get normalized to 0–100 over normLen, then weighted-averaged into combined. smaCurve / emaCurve are the SMA and EMA of that combined OBV+Volume series, length set by timeframe. The ribbon between them is green when the EMA is rising (above its previous bar) and red when falling — same logic as your other indicator. Knobs: OBV Weight / Volume Weight — lean the blend toward trend-conviction (OBV) or raw activity (Volume). Set one to 0 to use only the other. Auto length by timeframe / Manual Length — smoothing control.
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của frcr90
Multi-TF Overlapping FVGThis indicator automatically detects Fair Value Gaps (FVGs) across multiple timeframes and identifies high‑confluence overlap zones known as clusters. These clusters highlight areas of institutional imbalance where price often reacts with precision. The tool continuously tracks FVGs from 1m, 5m, 10m, 15m, 30m, and 60m charts, dynamically forming and updating clusters as new gaps appear or become mitigated. Key Features Multi‑Timeframe FVG Detection Scans up to six timeframes for bullish and bearish FVGs in real time. Cluster Formation Logic Builds a cluster when a 1‑minute FVG aligns with enough higher‑timeframe gaps, creating a strong confluence zone. Dynamic Filtering System Allows filtering clusters by time decay, price proximity, ATR‑based distance, or edge‑proximity wake‑up logic. Mitigation Tracking Monitors each FVG for partial or full mitigation using wick or close logic. Clusters update or expire automatically. Exclusivity and Consumption Options Controls whether higher‑timeframe FVGs can be reused by multiple 1m seeds or permanently consumed. Adaptive Rendering Boxes extend dynamically, labels update automatically, and clusters remain visible briefly after mitigation for clarity. Debug Panel Displays real‑time counts of FVGs per timeframe and active clusters for verification and troubleshooting. How to Use This Indicator Identify High‑Probability Zones Clusters represent areas where multiple timeframes agree on imbalance, often acting as strong support, resistance, or liquidity targets. Monitor Mitigation Behavior Observe how price interacts with cluster edges. Partial fills, full fills, and rejections can signal continuation or reversal. Integrate With Your Strategy Use clusters as entry zones, take‑profit targets, stop‑loss buffers, or directional confirmation. Adjust Filters to Match Your Style Scalpers may prefer tighter ATR filters and shorter time windows, while swing traders may widen the range to capture larger structures. Who This Indicator Is For Traders seeking automated multi‑timeframe FVG detection Those who want high‑confluence imbalance zones without manual charting Traders using institutional concepts such as imbalance, mitigation, and liquidity Anyone wanting a clean, dynamic, and customizable FVG clustering tool
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của SphinxResearch
Order Book Ultimate# order book ultimate — synthetic depth, flow pressure and wall map order book ultimate is a synthetic order book and market pressure tool for traders who want a visual way to study possible bid walls, ask walls, liquidity pressure, absorption, sweeps, imbalance and short-term directional bias. this script does not read real exchange level 2 data, broker depth of market, or live limit order book data. it builds a synthetic depth model from chart price action, volume, volatility, round-number behavior, intrabar flow when available, and recent reactions around price levels. the goal is to help traders visualize where pressure may be building, where price may react, and when a setup has enough agreement between multiple conditions to deserve attention. the script is designed as a decision-support tool, not as an automatic trading system. it should be used with market structure, risk management, and personal validation. --- ## what this script does order book ultimate combines several components into one workflow: * synthetic bid and ask depth levels around current price * estimated bid/ask pressure using volume and candle position * optional lower-timeframe intrabar flow analysis * wall detection and wall stability tracking * historical liquidity memory zones * absorption detection near bid or ask walls * bullish and bearish sweep detection * pro score and confidence score * market regime filter * visual long and short setup markers * visual stats for signal follow-up * compact, full and debug dashboard modes * alerts for stable walls, imbalance, setups, absorption, sweeps and invalidation the main idea is to avoid reading one signal alone. the script looks for agreement between pressure, depth imbalance, wall strength, trend, obv flow, absorption, sweeps and market regime. --- ## important note about the order book model this is a synthetic order book model. it does not show the real resting orders from an exchange. instead, it estimates possible liquidity concentration by using: * atr-based spacing * recent volume * candle rejection behavior * round-number magnetism * intrabar buy/sell pressure when available * historical reactions around price * volatility and market regime adjustments because of this, the script should be treated as a market pressure map, not as real dom or level 2 data. --- # engine modes ## engine mode this setting controls how the script measures market pressure. ### classic synthetic uses the current chart candles only. it estimates buy and sell pressure from candle position, volume, delta approximation and recent flow. best for: * higher timeframes * symbols where lower-timeframe data is not needed * cleaner and lighter calculations ### intrabar flow uses lower-timeframe candles inside the current candle to estimate pressure more closely. best for: * scalping * intraday trading * checking whether the current candle has strong internal buying or selling pressure ### hybrid pro combines classic synthetic pressure with lower-timeframe intrabar flow. this is the default balanced mode. best for: * most traders * 5m, 15m, 30m and 1h charts * users who want both stable context and intrabar sensitivity --- ## lower timeframe this is the lower timeframe used by the intrabar flow engine. example: * if your chart is 15m and lower timeframe is 1m, the script studies the 1m candles inside each 15m candle. * if your chart is 5m and lower timeframe is 1m, it studies the 1m movement inside each 5m candle. beginner tip: use 1m for scalping and 3m or 5m for smoother intraday reading. --- ## intrabar weight in hybrid this controls how much the hybrid engine trusts lower-timeframe flow. * 0.00 means almost no intrabar influence. * 0.55 gives a balanced mix. * 1.00 gives maximum intrabar influence. beginner tip: keep it near 0.50 to 0.60 for a balanced setup. raise it only if you want more reactive signals. --- ## use confirmed bars for signals when enabled, signals only confirm after the candle closes. this helps reduce noisy live-bar signals. when disabled, signals can appear during the current candle, but they may change before the candle closes. beginner tip: keep this enabled if you want cleaner signals. --- # synthetic depth engine ## levels per side this controls how many synthetic bid levels and ask levels are calculated around price. * lower values make the display simpler. * higher values create a wider synthetic depth map. beginner tip: 15 is a good balanced setting. --- ## level spacing x atr this controls the spacing between synthetic levels using atr. * lower values place levels closer to current price. * higher values spread them farther away. beginner tip: use lower values for scalping and higher values for swing trading. --- ## volume lookback this sets how many candles are used to build the average volume baseline. * shorter lookback reacts faster. * longer lookback is smoother. beginner tip: 100 is a balanced value for most intraday charts. --- ## refresh rate this controls how often the synthetic depth levels refresh. * 1 refreshes every bar. * higher values refresh less often. beginner tip: keep it at 1 for active trading. --- ## depth multiplier this increases or decreases the strength of the synthetic depth zones. * higher values create stronger wall readings. * lower values make the script more conservative. beginner tip: 2.0 is a balanced default. --- ## depth decay sigma this controls how quickly synthetic liquidity fades as price levels move farther from current price. * lower values focus more on nearby levels. * higher values include farther levels. beginner tip: use lower values for scalping and higher values for wider market context. --- ## liquidity memory bars this tells the script how far back it should remember recent reactions around price levels. * lower values focus on recent reactions. * higher values keep more market memory. beginner tip: 40 is a good starting point. --- # round number engine ## round number magnetism this increases the importance of round prices. markets often react near round numbers because many traders place orders around them. this setting makes the synthetic depth engine give more weight to those areas. beginner tip: use higher values on indices and crypto, and lower values on forex if the levels feel too wide. --- ## auto round step when enabled, the script automatically chooses a round-number step based on the symbol price. beginner tip: keep this enabled unless you know exactly which round levels you want to use. --- ## manual round step this is used only when auto round step is disabled. example: * 100 for major crypto round zones * 10 for some indices * 1 or 0.5 for stocks depending on price beginner tip: leave it at 0.0 when auto round step is enabled. --- ## round zone width % this controls how close price must be to a round level before the round-number magnet effect becomes important. * lower values are stricter. * higher values allow wider round-number zones. beginner tip: 1.5 is a balanced default. --- # flow / pressure engine ## delta length this controls how many candles are used to estimate delta pressure. * shorter length reacts faster. * longer length is smoother. beginner tip: 20 works well for general intraday use. --- ## obv ma length this is the moving average length used for obv flow. if obv is above its moving average, the script reads flow as more bullish. if it is below, flow is more bearish. beginner tip: 20 is a good default. --- ## pressure smoothing this smooths the pressure reading. * low values react faster. * high values reduce noise. beginner tip: 5 is a balanced value. --- # wall stability / memory ## wall stable bars this controls how many bars a wall must remain active before it is considered stable. * lower values confirm faster. * higher values require more persistence. beginner tip: 3 is a good starting point. --- ## same wall zone x tick this controls how close a new wall must be to the previous wall to be treated as the same wall. * lower values separate walls more strictly. * higher values merge nearby walls more easily. beginner tip: 3.0 is balanced. --- ## max historical zones this controls how many historical wall zones are kept in memory. beginner tip: 12 keeps the chart useful without too much clutter. --- ## historical merge x tick this controls how close historical zones must be to merge together. * lower values create more separate zones. * higher values combine nearby levels. beginner tip: 6.0 is a balanced default. --- ## historical strength decay this controls how slowly old historical zones lose strength. * 1.0 means they do not decay. * lower values make old zones fade faster. beginner tip: 0.985 keeps useful memory while still allowing old zones to fade. --- # absorption / sweep / filters ## anti-noise confirmation when enabled, the script requires extra filters before confirming long or short setups. it checks for enough volume, pressure agreement, stable walls, absorption or sweep context, and avoids low-liquidity conditions. beginner tip: keep this enabled for cleaner signals. --- ## min volume x avg this is the minimum volume required compared to average volume. example: 0.90 means current volume should be at least 90% of average volume. beginner tip: raise it if you want fewer but stronger signals. --- ## absorption volume x avg this controls how much volume is required to detect absorption. absorption means price touches or pushes into a wall area, but the candle shows rejection instead of clean continuation. beginner tip: 1.20 is balanced. raise it for stricter absorption signals. --- ## absorption zone x atr this controls how close price must be to a wall for absorption detection. * lower values require price to be very close to the wall. * higher values allow a wider absorption area. beginner tip: 0.18 works well for many intraday charts. --- ## sweep zone x atr this controls how far price must move beyond a wall before a sweep can be detected. a bullish sweep happens when price moves below a bid wall or historical bid zone and then closes back above it. a bearish sweep happens when price moves above an ask wall or historical ask zone and then closes back below it. beginner tip: 0.10 is a good starting value. --- ## exhaustion rsi high this level is used to warn when a long setup may be overextended. if a long setup appears while rsi is very high and the candle shows rejection, the setup can be marked as exhausted. beginner tip: 72 is a balanced default. --- ## exhaustion rsi low this level is used to warn when a short setup may be overextended. if a short setup appears while rsi is very low and the candle shows rejection, the setup can be marked as exhausted. beginner tip: 28 is a balanced default. --- # regime / asset calibration ## asset profile this adjusts the behavior of the script for different markets. available profiles: * auto * crypto * forex * index * stock * futures * generic auto reads the symbol type and applies a matching profile. beginner tip: use auto first. switch manually only if the script feels too sensitive or too slow on your market. --- ## auto-calibrate thresholds when enabled, the script adjusts wall strength, round-number behavior and memory based on the selected asset profile. beginner tip: keep this enabled. --- ## adx length this controls the adx calculation used to identify trending or ranging conditions. beginner tip: 14 is a standard value. --- ## volatility baseline this controls the baseline used to compare current volatility with normal volatility. * lower values react faster. * higher values are smoother. beginner tip: 100 is a balanced setting. --- # spread / range proxy ## spread display this chooses how the script estimates spread or micro-range conditions. ### adaptive proxy uses an adaptive estimate based on recent range. ### bar range uses the full current candle range. ### atr micro uses a small atr-based estimate. beginner tip: use adaptive proxy for most markets. --- ## adaptive spread factor this controls the size of the adaptive spread proxy. beginner tip: 0.05 is a balanced default. raise it if the spread reading looks too small. --- # visual / panel ## show panel shows or hides the dashboard. the panel displays score, confidence, regime, bid/ask depth, pressure, wall state, absorption, sweeps, visual stats and more depending on the selected panel mode. --- ## panel mode ### compact shows only the most important information. best for: * small screens * clean charting * quick decision making ### full shows the complete dashboard. best for: * normal trading use * studying pressure, walls, volume and flow ### debug shows additional internal values. best for: * testing settings * understanding how the engine is reacting * advanced users --- ## panel position chooses where the dashboard appears on the chart. options: * top right * top left * bottom right * bottom left --- ## show best wall zones when enabled, the script draws the strongest stable bid and ask wall zones on the chart. bid wall zones appear below price and can act as possible support areas. ask wall zones appear above price and can act as possible resistance areas. --- ## show signal markers when enabled, the script plots markers for: * long setup * short setup * bid absorption * ask absorption * bullish sweep * bearish sweep * invalidation --- ## wall zone forward bars this controls how far the wall zone boxes extend into the future. beginner tip: 30 is a good value for intraday charts. --- ## panel bg sets the dashboard background color. --- ## bid color sets the color used for bullish or bid-side elements. --- ## ask color sets the color used for bearish or ask-side elements. --- ## neutral color sets the color used for neutral readings. --- ## accent color sets the color used for highlights and active dashboard elements. --- ## warning color sets the color used for warnings, exhaustion and invalidation. --- # alerts / scoring ## wall threshold x avg this controls how strong a wall must be compared to the average depth before it is considered important. * lower values create more wall signals. * higher values require stronger walls. beginner tip: 2.0 is a balanced default. --- ## imbalance threshold this controls how strong the bid/ask imbalance must be before the script labels the market as bid heavy or ask heavy. beginner tip: 1.6 is a good starting point. --- ## long bias score this is the score level required for a long bias. example: 70 means the pro score must reach 70 or higher before a long setup can be confirmed. --- ## short bias score this is the score level required for a short bias. example: 30 means the pro score must fall to 30 or lower before a short setup can be confirmed. --- ## min confidence this is the minimum agreement score needed before the script confirms a setup. confidence is based on agreement between pressure, imbalance, wall direction, trend, obv, intrabar quality, absorption, sweeps and regime. beginner tip: 55 is a balanced default. raise it for stricter signals. --- # visual backtest stats ## enable visual stats when enabled, the script tracks basic visual follow-up stats after confirmed signals. this is not a full strategy backtest. it is a visual stats module that checks whether a signal reaches an atr-based target or invalidation level within a chosen number of bars. --- ## target x atr this controls the target distance used by visual stats. example: 0.75 means the target is 0.75 atr from the signal price. --- ## invalidation x atr this controls the invalidation distance used by visual stats. example: 0.55 means the invalidation level is 0.55 atr from the signal price. --- ## max bars in signal this controls how long the visual stats module gives a signal to reach target or invalidation. if neither target nor invalidation is reached before this number of bars, the signal is closed by time. --- # dashboard guide ## score the score ranges from 0 to 100. * above the long bias score: long bias * below the short bias score: short bias * between both levels: neutral the score is built from pressure, imbalance, wall strength, trend, obv, rsi, absorption, sweep and regime. --- ## confidence confidence measures how much agreement exists between the engine components. a high score with low confidence should be treated carefully. a high score with strong confidence is cleaner. --- ## regime the regime label describes the current market environment. possible states include: * high vol * low liq * breakout * trending * ranging * balanced beginner tip: avoid forcing trades in low-liquidity conditions. --- ## bid / ask this shows the estimated synthetic bid depth and ask depth. if bid depth is much stronger than ask depth, the market may be bid heavy. if ask depth is much stronger than bid depth, the market may be ask heavy. --- ## pressure this shows whether buying or selling pressure is dominant. pressure is not a signal by itself. it should agree with walls, imbalance and confidence. --- ## walls this shows whether bid and ask walls are: * none * weak * building * holding a holding wall is more important than a fresh or weak wall. --- ## abs / sweep this shows whether absorption or a sweep is currently detected. absorption can show rejection at a wall. a sweep can show liquidity being taken before price returns. --- ## bt stats this shows the visual stats result of recent confirmed signals. it should be used for observation, not as proof of future performance. --- # chart markers ## l marker a long setup marker appears when the script confirms long bias conditions, confidence is high enough, and the noise filter allows the signal. --- ## s marker a short setup marker appears when the script confirms short bias conditions, confidence is high enough, and the noise filter allows the signal. --- ## abs marker an absorption marker appears when price interacts with a wall area with strong volume and rejection. bid absorption appears below price. ask absorption appears above price. --- ## sw marker a sweep marker appears when price raids a wall or historical liquidity zone and then closes back through it. bullish sweep appears below price. bearish sweep appears above price. --- ## x marker an invalidation marker appears when a setup is invalidated by price moving beyond the relevant wall area. --- # available alerts the script includes alerts for: * stable synthetic bid wall * stable synthetic ask wall * bid heavy imbalance * ask heavy imbalance * long setup confirmed * short setup confirmed * bid absorption * ask absorption * bullish sweep * bearish sweep * setup invalidated beginner tip: start with only a few alerts. for example: * stable bid wall * stable ask wall * long setup confirmed * short setup confirmed * bullish sweep * bearish sweep too many alerts can make the workflow noisy. --- # beginner tutorial ## step 1 — choose the correct engine mode start with hybrid pro. hybrid pro is the most balanced mode because it combines classic chart pressure with lower-timeframe flow. use classic synthetic if you want a smoother reading. use intrabar flow if you want maximum short-term sensitivity. --- ## step 2 — choose the lower timeframe for a 15m chart, start with 1m or 3m. for a 5m chart, start with 1m. for a 1h chart, try 5m or 15m. if the script feels too reactive, use a higher lower-timeframe setting or lower the intrabar weight. --- ## step 3 — read the panel first before looking at markers, read the panel: 1. check the market regime. 2. check the score. 3. check confidence. 4. check bid/ask imbalance. 5. check pressure. 6. check wall state. 7. check absorption or sweep. do not take a marker if the panel does not make sense. --- ## step 4 — use walls as zones, not exact entries a stable bid wall can act as a possible support area. a stable ask wall can act as a possible resistance area. price may react around the zone, not exactly at one tick. --- ## step 5 — wait for context a better long idea usually has: * stable bid wall * bid-heavy or improving depth * positive pressure * bullish sweep or bid absorption * score above the long bias level * confidence above the minimum a better short idea usually has: * stable ask wall * ask-heavy or weakening bid depth * negative pressure * bearish sweep or ask absorption * score below the short bias level * confidence above the minimum --- # example use cases ## example 1 — bullish wall reaction price moves down into a stable bid wall. the panel shows: * bid wall holding * bid/ask ratio improving * pressure turning positive * confidence rising * bid absorption appears a trader may wait for price to hold above the wall and then look for a long setup marker. possible invalidation: price closes below the bid wall area and an invalidation marker appears. --- ## example 2 — bearish wall rejection price moves up into a stable ask wall. the panel shows: * ask wall holding * ask-heavy imbalance * pressure turning negative * ask absorption appears * confidence is above the minimum a trader may wait for rejection from the ask wall and a short setup marker. possible invalidation: price closes above the ask wall area. --- ## example 3 — bullish sweep price moves below a bid wall or historical bid zone and then closes back above it. the script marks a bullish sweep. this can mean sellers pushed price below liquidity, but buyers absorbed the move and price returned above the zone. a trader may then check: * is pressure improving? * is confidence strong enough? * is the score moving toward long bias? * is the market not in low-liquidity mode? --- ## example 4 — bearish sweep price moves above an ask wall or historical ask zone and then closes back below it. the script marks a bearish sweep. this can mean buyers pushed price above liquidity, but sellers absorbed the move and price returned below the zone. a trader may then check: * is pressure weakening? * is ask absorption present? * is confidence strong enough? * is the score moving toward short bias? --- ## example 5 — avoiding a weak signal a long marker appears, but the panel shows: * low liquidity regime * weak confidence * no stable bid wall * no absorption * no sweep this is a low-quality context. the better choice is to wait for stronger agreement. --- ## example 6 — using visual stats enable visual stats and keep default atr target and invalidation settings. after each confirmed setup, the panel tracks whether price reached the target, invalidation or timed out. this is useful for studying the behavior of the signals on your market, but it is not a complete strategy backtest. --- # suggested starting settings ## scalping chart: 1m to 5m settings: * engine mode: hybrid pro * lower timeframe: 1m * intrabar weight: 0.55 to 0.70 * use confirmed bars: enabled * wall threshold: 2.0 to 2.5 * min confidence: 60 to 70 * panel mode: compact or full best use: watch for stable walls, sweeps and absorption during active sessions. --- ## intraday chart: 5m to 30m settings: * engine mode: hybrid pro * lower timeframe: 1m to 5m * intrabar weight: 0.45 to 0.60 * use confirmed bars: enabled * wall stable bars: 3 to 5 * min confidence: 55 to 65 * panel mode: full best use: use stable walls as reaction zones and wait for score plus confidence agreement. --- ## swing or higher timeframe chart: 1h to 4h settings: * engine mode: classic synthetic or hybrid pro * lower timeframe: 5m to 15m * intrabar weight: 0.25 to 0.45 * volume lookback: 100 to 200 * liquidity memory bars: 60 to 120 * panel mode: full best use: focus on larger wall zones, market regime and historical liquidity memory. --- # practical workflow 1. open the chart and choose the market. 2. set engine mode to hybrid pro. 3. choose a lower timeframe smaller than the chart timeframe. 4. keep confirmed bars enabled. 5. check the panel regime. 6. wait for a stable wall. 7. watch bid/ask imbalance and pressure. 8. wait for absorption, sweep or a confirmed setup marker. 9. define invalidation around the wall zone. 10. use visual stats to observe signal behavior over time. --- # limitations this script uses synthetic calculations. it does not access real order book liquidity, real level 2 data, broker depth, or exchange resting orders. signals may perform differently depending on symbol, timeframe, session, liquidity and volatility. visual stats are only a simple chart-based follow-up tool. they are not a full trading strategy backtest. the script should be combined with risk management, market structure, session context and personal testing. --- # risk notice this indicator is for technical analysis and education. it does not provide financial advice and does not guarantee future results. every trader is responsible for their own decisions, risk management and testing.
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của Alpha_Wizard
ID009 Liquidity Path [ReconHK] A liquidity-focused chart indicator designed to help traders study whether price is reclaiming or holding above a key liquidity pivot, while also checking structural liquidity, traded activity, trend context, relative volume, and buyer-pressure confirmation. ------------------------------------------------------------------------------------------------ ## 1. What this indicator is for 🧭 ------------------------------------------------------------------------------------------------ Liquidity Path is designed to help traders understand whether price is moving through a healthier liquidity area instead of chasing random breakouts. The indicator builds a liquidity profile from the selected lookback period, finds the main activity area, and marks the Liquidity Pivot, also known as the profile point of control. The main idea is simple: price action near a high-activity area can be more meaningful than price action in a thin or fragmented area. When price reclaims or holds above the Liquidity Pivot with volume, buyer pressure, and trend support, the setup may show a stronger liquidity path. This indicator is not a buy-or-sell system by itself. It is a decision-support tool for reviewing liquidity structure, participation, and price behavior around the profile pivot. The purpose is to help traders avoid late or weak breakouts by checking whether price is close to the main liquidity pivot and supported by participation. ------------------------------------------------------------------------------------------------ ## 2. What you see on the chart 👀 ------------------------------------------------------------------------------------------------ The indicator can show several visual elements: Blue liquidity profile : a right-side profile showing where more trading activity happened during the selected lookback. Orange Liquidity Pivot : the main profile pivot, based on the highest activity area of the profile. Lookback zone : the chart area used to build the liquidity profile. EMA 20 and EMA 50 : optional trend-context lines. Optional bias background : subtle background showing whether price is above or below the Liquidity Pivot. The blue profile helps the user see where activity is concentrated. Thicker profile areas mean more activity was detected at that price zone. The orange Liquidity Pivot is the key reference level used by the path logic. When price is above the Liquidity Pivot, the market is trading above the main activity reference. When price is below it, price is trading under that reference and may need a reclaim before the path setup improves. ------------------------------------------------------------------------------------------------ ## 3. How to read the Liquidity Pivot 🟠 ------------------------------------------------------------------------------------------------ The Liquidity Pivot is the central level of this indicator. It represents the price area with the strongest smoothed activity inside the selected profile lookback. A reclaim above the Liquidity Pivot can be useful because it shows that price has moved back above a major activity reference. A hold or retest above the pivot can also be important because it may show acceptance above that area instead of only a short-lived breakout. The indicator checks whether price is: above the Liquidity Pivot, not too far above the pivot, not too extended from the short-term trend, supported by relative volume, showing buyer-pressure behavior, aligned with the trend filter when enabled. This helps separate cleaner liquidity-path situations from late, extended, or weak moves. A reclaim is more useful when it happens near the pivot with participation. A move that is already too far above the pivot may be late and riskier. ------------------------------------------------------------------------------------------------ ## 4. Suggested workflow ✅ ------------------------------------------------------------------------------------------------ A practical workflow: Start with the default settings. Keep Liquidity quality on Balanced for most liquid stocks and crypto. Use the blue liquidity profile to see where activity is concentrated. Watch the orange Liquidity Pivot as the main reference level. Check whether price is reclaiming or holding above the pivot. Use the relative volume setting to require real participation. Use the trend filter if you want signals to prefer EMA trend alignment. Avoid acting when price is already too far above the pivot or too extended from the EMA. Use alerts as chart-review reminders, not automatic trade instructions. Confirm the setup with your own support, resistance, market structure, news, and risk plan. The indicator is most useful when the user wants to study whether price is moving from a high-activity base into a stronger continuation path. It is less useful when the market is illiquid, fragmented, or moving with large gaps and weak participation. ------------------------------------------------------------------------------------------------ ## 5. Risk notes and correct expectations ⚠️ ------------------------------------------------------------------------------------------------ This indicator does not guarantee that price will continue higher after reclaiming the Liquidity Pivot. A reclaim can fail, especially during weak market conditions, low-volume moves, news shocks, or broad market selloffs. Important reminders: The Liquidity Pivot is a reference level, not a guaranteed support level. A path signal is a confirmation event, not a complete trading plan. Relative volume can confirm participation, but it does not remove risk. Trend alignment can improve context, but trends can reverse. Thin or fragmented symbols may produce less reliable readings. Always define risk, stop logic, invalidation, and exit planning separately. This script does not place trades, manage positions, set stops, or calculate position size. It should be used only as a decision-support tool. Use the indicator to organize your liquidity and participation review. Do not use it as a substitute for risk management. ------------------------------------------------------------------------------------------------ ## 6. Script structure and originality ------------------------------------------------------------------------------------------------ Liquidity Path is an overlay indicator. It is not a strategy. The script uses: * indicator(..., overlay = true) * plot() for the Liquidity Pivot / POC line * plot() for optional EMA 20 and EMA 50 lines * bgcolor() for optional bias background * box.new() for the right-side liquidity profile * box.new() for the lookback zone * label.new() for the pivot label * alertcondition() for signal and pivot events The script does not use: * strategy.entry() * strategy.exit() * strategy.close() * automatic order placement * automatic risk management The originality of the script is in how it combines several liquidity concepts into one path framework. The main components are: 1. Structural liquidity filter 2. Continuity check 3. Profile-based Liquidity Pivot 4. Smoothed activity profile 5. Value area calculation 6. Trend context using EMA 20 and EMA 50 7. Relative volume confirmation 8. Buyer-pressure confirmation 9. POC reclaim or retest logic 10. Extension control 11. Path-mode strictness 12. Cooldown control 13. Visual profile and pivot tools 14. Alerts for reclaim, loss, and path signal These components are not just displayed separately. They work together to answer one practical question: Is price reclaiming or holding above an important liquidity area with enough structure, volume, trend context, and buyer pressure? This is what makes the script different from a basic moving-average, volume, or profile-only display. ------------------------------------------------------------------------------------------------ ## 7. Structural liquidity filter ------------------------------------------------------------------------------------------------ The script first checks whether the symbol has acceptable structural liquidity. This helps reduce signals on thin, fragmented, or unreliable markets. The structural liquidity data is calculated from daily data: dClose dOpen dHigh dLow dVol The script calculates daily dollar volume: addvD = daily close * daily volume Then it calculates: addv20 = 20-period average daily dollar volume p10Addv20 = 10th percentile of daily dollar volume over the short liquidity window This means the script does not only check average liquidity. It also checks whether the lower-end liquidity is acceptable. A symbol can have one large-volume day and still be unreliable if many other days are weak. The script also checks gap behavior: gapPct = absolute difference between current daily open and prior daily close gapHit = gap is counted when it is greater than the internal gap threshold gapFreqPct = percentage of recent days with meaningful gaps This helps identify symbols that move with frequent gaps instead of continuous trading behavior. The continuity check uses the selected continuity timeframe: contTfInput = 30, 60, 120, or 240 minutes It checks whether volume is missing or zero on that secondary timeframe: deadBar = continuity timeframe volume equals zero deadBarPct = percentage of dead bars in the recent window The script also checks stability: cvAddv = coefficient of variation of daily dollar volume rangeFrac = daily range divided by daily close medRangeFrac = median range fraction The Liquidity quality setting changes thresholds: Strict requires higher average dollar volume, stronger lower-percentile dollar volume, fewer dead bars, fewer gaps, lower dollar-volume variation, and lower median range fraction. Balanced uses medium thresholds and is intended for most liquid stocks and crypto. Loose allows weaker structure and can produce more signals, but may also accept less reliable symbols. The script creates: structAddvOk structP10Ok structDeadOk structGapOk structCvOk structRangeOk The main path setup uses: structuralQualified = structAddvOk and structP10Ok and structDeadOk The script also calculates: structuralRobust = structuralQualified and structGapOk and structCvOk and structRangeOk This gives the script a liquidity-quality foundation before it evaluates the profile path signal. ------------------------------------------------------------------------------------------------ ## 8. Liquidity profile and pivot calculation ------------------------------------------------------------------------------------------------ The script builds a custom right-side liquidity profile from the selected lookback period. The profile range is: highs = highest high over the lookback lows = lowest low over the lookback priceRange = highs - lows The profile is divided into a fixed number of bins: BINS_COUNT = 120 Each bar in the lookback contributes activity to one price bin using hlc3: p = hlc3 The script adds volume to the selected bin: v = volume * weight The weighting is enabled internally: weightedInput = true This means newer bars receive more weight than older bars: w = 1.0 - i / lookbackInput This creates a profile that still uses the full lookback but gives more importance to recent activity. After raw bin activity is built, the script smooths the profile. It loops around each bin and averages nearby bins with distance-based weights. This reduces noise and avoids making the pivot depend too heavily on one single sharp bin. The script finds the strongest smoothed bin: maxVol = highest smoothed bin activity pocIdx = index of strongest bin pocRaw = price at the center of that bin This raw pivot is then smoothed: pocSmoothed = EMA of pocRaw The final Liquidity Pivot is clamped inside the calculated value area: pocPrice = clamp(pocSmoothed, value area low, value area high) The value area is calculated from the POC outward: 1. Start at the POC bin. 2. Add the neighboring bin with more activity. 3. Continue expanding up or down until the selected value-area percentage is reached. The script calculates: vah = value area high val = value area low The plotted Liquidity Pivot is the final smoothed and clamped POC: plot(pocPrice, title = "Liquidity Pivot / POC") This profile design is useful because the pivot is not just the highest raw volume bin. It is smoothed, recent-weighted, and constrained by the internal value area. ------------------------------------------------------------------------------------------------ # 9. Liquidity Path signal logic ------------------------------------------------------------------------------------------------ The Liquidity Path signal is built from several gates. First, the script checks where price is relative to the Liquidity Pivot: abovePocNow = close > pocPrice belowPocNow = close < pocPrice Then it measures distance from the pivot: pocDistancePct = distance between close and pocPrice in percent This is important because the script tries to avoid late entries. A price that is far above the pivot may already be extended. The script also measures distance from the fast EMA: emaDistancePct = distance between close and EMA 20 in percent The path mode changes strictness: Early allows more signals and a wider reclaim window. Balanced uses medium behavior. Strict requires tighter confirmation. The script detects: crossClosePoc = close crosses above the Liquidity Pivot crossUnderPoc = close crosses below the Liquidity Pivot It also detects recent reclaim behavior: barsSinceReclaim recentReclaim The reclaim window changes by path mode: Strict = shorter window Balanced = medium window Early = longer window The script also allows a recent retest: recentPocRetest A retest means price recently touched near the Liquidity Pivot but closed back above it. This supports the idea that the pivot may be acting as an accepted liquidity reference. The POC break-quality check requires: * price above the pivot * close meaningfully above the pivot * high above the pivot The POC slope check changes by mode: Strict requires the pivot to be rising recently. Balanced allows the pivot to be stable or rising over a short comparison. Early allows a more flexible pivot condition. The extension filters are: nearPocPath = price is above POC but not too far above it notExtendedPath = price is not too far from EMA 20 The trend filter checks: * EMA 20 above EMA 50 * close above EMA 20 * EMA 20 not falling This filter can be disabled by the user. The volume confirmation checks: * relative volume is not na * relative volume is above the user threshold * current volume is above volume moving average The buyer-pressure confirmation checks: * bullish candle * close location value is above the bullish threshold * delta is improving, or recent buy-share estimate is strong, or price closed above the prior high The final setup requires: liquidityPathSetup = structuralQualified and price above POC and POC break quality and price near POC and price not extended and recent reclaim, recent retest, or current reclaim The final raw path signal requires: liquidityPathSetup and trendPathOk and volumePathOk and pressurePathOk and path-mode slope condition The final signal also uses a cooldown: pathCooldownBars depends on Early, Balanced, or Strict mode pathSignal = pathSignalRaw and pathCooldownOk This makes the signal more selective than a simple POC cross. It must pass liquidity quality, pivot location, extension control, trend context, participation, buyer pressure, and cooldown logic. ------------------------------------------------------------------------------------------------ ## 10. Inputs, visuals, alerts, and publication notes ------------------------------------------------------------------------------------------------ The script includes user inputs grouped into four sections. Core inputs: 1. Liquidity quality Controls the structural liquidity filter. Strict = cleaner but fewer symbols and signals. Balanced = recommended default. Loose = more permissive. 2. Continuity timeframe Secondary timeframe used to check whether trading activity is continuous or fragmented. 3. Use trend filter When enabled, path signals prefer EMA 20 above EMA 50, close above EMA 20, and non-falling EMA 20. Liquidity Profile inputs: 4. Profile lookback Number of bars used to build the blue profile and calculate the Liquidity Pivot. 5. Value area % Percent of profile activity used to define the value area. 6. Show blue liquidity profile Displays the right-side profile. 7. Show pivot label Displays the right-side label for the Liquidity Pivot. 8. Show lookback zone Highlights the exact chart area used to build the profile. Liquidity Path inputs: 9. Path signal mode Early, Balanced, or Strict. 10. Max distance above POC % Prevents late signals when price is already too far above the pivot. 11. Min RVOL confirmation Minimum relative volume required for participation confirmation. Visual inputs: 12. Show EMA lines Displays EMA 20 and EMA 50. 13. Show PATH labels This input exists in the current script, but the uploaded version does not show a plotted path label command. If a visible label is intended, a plotshape() or label.new() condition should be added for pathSignal. 14. Show subtle bias background Optional green or red background based on price above or below the Liquidity Pivot. 15. Pivot name Custom name shown beside the pivot label. Visual drawing: The right-side profile is drawn using boxes. Each box represents one price bin. Wider boxes mean more normalized activity at that price area. The lookback zone is drawn with a box covering: * selected lookback bars * highest high and lowest low of that lookback The pivot label is drawn on the right side at the current Liquidity Pivot price. Alerts: The script includes three alert conditions: 1. Liquidity Path Signal Triggered when price reclaimed or held above the POC with liquidity, volume, and buyer-pressure confirmation. 2. POC Reclaim Triggered when price crosses above the Liquidity Pivot. 3. POC Lost Triggered when price crosses below the Liquidity Pivot. Important distinction: * POC Reclaim is a simple pivot-cross event. * POC Lost is a simple pivot-loss event. * Liquidity Path Signal is more selective because it requires structural liquidity, pivot position, extension control, trend context, relative volume, buyer pressure, and cooldown logic. Publication note: This description explains how the combined parts work together so users do not need to read Pine code to understand the tool. It also clarifies that the script is a liquidity and participation review indicator, not an automated trading strategy. Open-source transparency note: if any external open-source code, function, or logic was reused, the original author and source should be credited clearly in the publication.
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của ReconHK
Volume Split - Buy vs SellThis indicator allows visibility of absorption through viewing as buy and sell side volume. If each side is matched within a given percentage (you can select via a parameter), then the given volume bar will be highlighted. Additionally there is an alert on the SMA if the price action crosses the SMA, this is simply something I have been working on in combination. Constructive thoughts and ideas are welcome. PSA - AI was utilized in the making of this indicator.
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của carnestrading
Aquila Reale - Wyckoff MASTER+Aquila Reale — Wyckoff MASTER+ | Auto Accumulation/Distribution + Smart TPs **BETA version — feedback highly appreciated.** First public release of this indicator. Logic carefully designed and syntax tested, but not yet personally traded live by the author. Treat findings as preliminary. --- ## What it does Detects whether the current market is in **ACCUMULATION** (smart money buying at lows) or **DISTRIBUTION** (smart money selling at highs) using a weighted 15-point scoring system across 5 Wyckoff dimensions: 1. **HTF Trend** — price vs EMA 50/200 on the higher timeframe 2. **Range Structure** — Higher Lows vs Lower Highs detection 3. **Volume Behavior** — up-bar vs down-bar volume balance + climax bars 4. **VSA Patterns** — Stopping Volume, No Demand, No Supply, SOS, SOW 5. **Price Position** — where price sits within the current range After detection, it plots **automatic operational levels** on the chart: - **Stop Loss** at the range extreme - **Entry** at the optimal Wyckoff zone - Up to **5 Take Profits**, prioritizing real historical pivot levels over geometric projections --- ## Why this is different Most Wyckoff indicators on TradingView fall in 3 categories: - **Too simple** — they only label "Spring" or "UTAD" without an operational setup - **Too theoretical** — they show measured moves with no realistic targets - **Black boxes** — they give you a buy/sell signal with no transparency This script does the opposite: - **Full transparency** — the dashboard shows each of the 5 sub-scores so you understand WHY the indicator says what it says - **Operational** — gives you SL, Entry, and TPs with realistic distances - **Smart TPs** — when possible, uses real historical swing levels (where price has reacted before), not arbitrary geometric projections - **Multi-mode** — you can force LONG/SHORT manually or let the indicator decide --- ## Reliability (realistic, not marketing) | Signal | Accuracy | |--------|----------| | ACCUMULATION / DISTRIBUTION with HIGH confidence | 75-80% | | FORCED LONG / FORCED SHORT (fallback mode) | 45-55% | | TP1 hit probability | 70-80% | | TP2 hit probability | 45-55% | | TP3 hit probability | 20-30% | These are estimates based on the underlying logic. Actual results vary by asset, market conditions, and timeframe. **No indicator is 100% accurate.** --- ## Recommended timeframes - **Daily** — Wyckoff lives here. Best signals, fewer trades. - **4-Hour** — Sweet spot for swing trading setups. - **1-Hour** — Good for entry timing, more noise. - **30/15-Minute** — Acceptable for scalping confirmation. - **5-Minute and below** — Not recommended (too much noise). ## Recommended assets - **Crypto (BTC, ETH)** — Real market volume, most reliable - **Indices (SPX, NDX)** — Reliable volume aggregation - **Stocks** — Reliable exchange volume - **Forex / CFDs / Commodities** — Volume comes from your broker only, less reliable --- ## How to use it **Step 1 — Read the verdict in the dashboard:** - **"ACCUMULATION" or "DISTRIBUTION"** = strong signal, consider trading - **"FORCED LONG" / "FORCED SHORT"** = weak signal (fallback), levels are technically valid but use your own analysis to confirm direction - **"WAIT"** = no clear setup, stay out **Step 2 — Filter by confidence:** - HIGH (>80%) = full position size acceptable - MEDIUM (60-79%) = half position size, tighter management - LOW or ZERO = reduce or skip **Step 3 — Trade management:** - Enter at the ENTRY level - Stop Loss at the STOP LOSS level - Take partial profits at TP1 (70-80% probability) - Move stop to break-even after TP1 is hit - Let the rest run to TP2 / TP3 - Never risk more than your predefined risk per trade (1-2%) **Step 4 — Multi-timeframe:** - Higher TF (Daily/Weekly) = directional bias - Mid TF (4H) = setup confirmation - Lower TF (1H/15min) = exact entry timing - Never take a trade against the higher timeframe bias --- ## Dashboard modes - **COMPLETE** — full panel with all 5 sub-scores, totals, verdict, confidence, signal, TP mode - **COMPACT** — only totals, verdict, confidence and signal (no labels column) - **MINIMAL** — single TRADE/WAIT cell - **HIDDEN** — no dashboard at all Position is configurable (9 positions) with X/Y offset for fine placement. --- ## Configurable parameters 29 inputs across 6 groups, each with detailed tooltips: 1. **Range & Pivot Detection** — lookback bars, pivot sensitivity 2. **Setup Direction** — AUTO / SHORT / LONG override 3. **Smart Take Profits** — TP multipliers, anchor mode (ENTRY or RANGE_EDGE), spacing, fallback 4. **Higher Timeframe Context** — HTF and EMA periods 5. **Volume Analysis** — volume MA, climax/high/low thresholds 6. **Visualization** — dashboard mode, size, position, offsets, label size, TP count Every parameter has guidance on which timeframe / asset class works best. --- ## Alerts Three configurable alerts: - **ACCUMULATION detected** — fires when score crosses the detection threshold - **DISTRIBUTION detected** — fires when score crosses the detection threshold - **ENTRY zone touched** — fires when price reaches the calculated entry level --- ## Feedback wanted This is a community-driven project. Specific questions for users: - Which timeframes work best for you? - Which assets give the most reliable signals? - Are the default TP multipliers realistic for your trading style? - Have you found settings that consistently outperform the defaults? - Any recurring false signal patterns that should be filtered? **Please leave a comment under the script with your experience.** Meaningful feedback will be credited in future version notes. --- ## Disclaimer — please read **Not financial advice.** This indicator and its output are for educational and informational purposes only. It does NOT constitute financial, investment, or trading advice. **No guarantee of profitability.** Past performance is not indicative of future results. Reliability percentages are estimates, not guarantees. **Use at your own risk.** Trading carries a high level of risk and may not be suitable for all investors. You may lose some or all of your capital. **No liability.** The author (giua64) shall not be held liable for any loss or damage arising from the use of this indicator. By using it you accept full responsibility for your trading decisions. **DYOR.** Always conduct your own research. Cross-check signals against other tools, fundamental analysis, and market context. **Paper trade first.** Test on a demo account or with paper trading before risking real capital. **Not tested live by author (yet).** This is the first public release. Treat findings as preliminary. **Volume limitations.** Volume data on Forex and CFDs comes from individual brokers and may not reflect true market volume, reducing the reliability of volume-based signals on those instruments. **Open source license.** Free to use for personal trading. If you build on this work please credit the original author. --- ## Credits Built on Wyckoff Method principles (Richard D. Wyckoff, early 1900s) and Volume Spread Analysis (Tom Williams, 1990s). Original Spring detector code by giua64. Smart historical TP logic and dashboard system designed for the **Aquila Reale** indicator suite. 🦅 *Aquila Reale — nate per volare, nate per osare* --- **Tags:** wyckoff, accumulation, distribution, volume-spread-analysis, vsa, smart-money, take-profit, automatic-levels, multi-timeframe, swing-trading, order-block, market-structure
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của giua64
1
Flow-RegimeFlow-Regime A multi-source flow oscillator. It normalizes three independent measures of market flow to a unified ±100 scale and combines them into a conviction- weighted composite line, so you can see at a glance whether OBV, A/D, and price flow are agreeing or diverging. ▌ What's plotted Three normalized lines, each computed through the same pipeline (CCI → percentrank → linear map to ±100): • OBV-Flow — On-Balance Volume (signed cumulative volume) • AD-Flow — Chaikin Accumulation/Distribution • Price-Regime — price flow (ohlc4) Plus a Fitted composite — the average of the three, amplified by |conviction|, where conviction = average ÷ mean(|x|, |y|, |z|). When all three lines agree the composite is amplified; when they conflict it is suppressed toward zero. The Fitted line uses 5-tier coloring driven by how many of the three exceed the neutral threshold (default ±20): solid green/red = all three agree, lighter shades = two of three, gray = no consensus. ▌ Two lookback modes Linear (default) — TF-specific lookback with sensible per-timeframe defaults (1m=60, 5m=24, 15m=16, 1h=24, 4h=18, 1d=7, 1w=12, 1M=12), all editable. Anchored — pick an anchor timestamp; the percentrank window grows from 0 at that bar to (current_bar − anchor_bar) at the right edge of the chart. Use this to lock the statistical baseline to a specific event — a regime start, a major breakout, a news release. The anchor bar is marked with a yellow diamond at fitted = 0. ▌ How to read it The OB zone (≥ +70) and OS zone (≤ −70) are shaded — these are statistically stretched conditions. Bars where the Fitted line reaches ±99 get a soft red/ green background tint as an "at the extreme" warning. Two corresponding alert conditions are exposed for use with TV alerts. This indicator does NOT emit trade signals. Per-line reversal dots and confluence triangles are intentionally absent: those patterns can fit historical noise convincingly without generalizing forward. Treat extremes as flags to investigate, not entries to take. Useful interpretive frames: • All three lines extreme in the same direction = strongest evidence of flow consensus. • One or two lines diverging from the others at extremes = a divergence worth examining on the chart. • Fitted approaching ±99 = statistical extreme, regardless of direction. ▌ Notes In Anchored mode, the first few bars after the anchor have very few historical points to rank against, so percentrank values can swing to ±100 from sparse data — read these bars with caution. CCI itself always uses the full real price history regardless of mode, so its 20-bar internal window is never distorted by the anchor. Enable the Debug label in settings to verify which mode and lookback are currently active on the chart.
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của felixhsuN
AMD Absorption | AnonycryptousAmd Absorption | Anonycryptous Description & user manual Why this indicator is different Most AMD indicators do the same thing. They draw a box for Asia, a box for London, a box for New York, and call it a cycle. They show you where the sessions are. They do not show you what is happening inside them. Amd Absorption works differently. It detects the full accumulation-manipulation-distribution cycle mechanically, bar by bar, within whatever session windows you define. It does not assume the cycle follows a fixed schedule. It finds it where it actually forms. And it only confirms a signal when the manipulation sweep shows evidence of institutional absorption — high volume on a bar that barely moves. That is the difference between a sweep that fails and a sweep that leads somewhere. Most traders can look at a chart in hindsight and identify an AMD cycle. The challenge is identifying it in the moment, on any asset, at any time. That is what this indicator is built to do. It works on every instrument. Crypto, futures, forex, stocks, commodities. The session windows, detection parameters, and absorption thresholds adapt to the asset class through a preset system. The same logic that detects a liquidity sweep on a bitcoin five-minute chart detects it on a gold two-minute chart, a nasdaq futures one-minute chart, or a forex fifteen-minute chart. Important notice Amd Absorption generates trading signals based on pattern detection and volume analysis. These signals are not financial advice. They do not predict the future. They do not guarantee profitability. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Amd Absorption is a cycle detection and entry timing indicator built around three phases of price behavior: accumulation, manipulation, and distribution. What it includes: - Mechanical AMD cycle detection within configurable session windows - Absorption filter on the manipulation bar using volume and body/range analysis - Five asset class presets with individually tuned detection parameters - Three-phase candle coloring showing accumulation, manipulation, and distribution in real time - Absorption dot markers on qualifying manipulation bars - Distribution target box with configurable stop loss mode and risk/reward ratio - Volume-weighted price levels as structural reference and target zones - Vertical session boundary lines at open and close - Configurable session background colors - Live dashboard showing session status, preset, last signal, and absorption statistics - Alerts for bull and bear setups 2. The AMD cycle 2.1 Accumulation A defined period of price compression. The market moves within a narrow range while smart money builds a position. Amd Absorption detects this as a rolling high-low range falling below a configurable percentage threshold over a set lookback period. During this phase, candles are colored gray. 2.2 Manipulation After accumulation, price sweeps beyond the range boundary — above the high for a bearish setup, below the low for a bullish setup. This is the liquidity grab. Market orders resting beyond the range are collected. Stops are hit. Retail traders enter in the wrong direction. During this phase, candles are colored in the direction of the sweep — red for a bear sweep, green for a bull sweep. 2.3 Distribution The real move begins. Price reverses from the sweep extreme and creates a fair value gap — a three-candle imbalance confirming displacement. The signal fires. A distribution target box is drawn from the entry close to the calculated take profit level. Candle coloring continues in the signal direction for the duration of the distribution box, then stops automatically. The cycle can repeat multiple times within a single session. There is no hard limit on setups per session. - A note on signal quality versus cycle validity An AMD cycle that does not produce a signal triangle can still play out fully. The triangle means the manipulation bar showed mechanical absorption — volume confirmed, body was small. That is additional evidence of institutional presence at the sweep level. It raises conviction. It does not make setups without it invalid. Many clean AMD cycles complete without a qualifying absorption bar. The candle coloring will show the full cycle regardless. The triangle is a quality filter, not the only valid setup. 3. The absorption filter The absorption filter is what separates Amd Absorption from a standard cycle detector. A manipulation sweep can occur for many reasons. Not every sweep leads to a reversal. The ones that do tend to share a specific characteristic on the sweep bar itself: high volume combined with a small candle body relative to the bar's range. This pattern means price moved far on heavy participation — a big wick — but the bar closed near where it opened. Something was absorbing the selling or buying pressure. The move did not follow through. That is absorption. It is the mechanical fingerprint of institutional defense of a level. When the absorption filter is enabled, the signal only fires if the manipulation bar meets both conditions: volume above a configurable multiple of the rolling average, and a body-to-range ratio below a configurable threshold. Bars that qualify are colored in the absorption color and marked with a dot above or below the candle. The filter can be disabled. With the filter off, every valid AMD + FVG pattern fires a signal. With it on, only the setups with volume confirmation fire. The trade-off is signal frequency versus quality. 4. Presets Presets automatically configure the four core detection parameters — accumulation lookback, maximum range width, absorption volume multiplier, and absorption body ratio — for each asset class. Crypto Lookback: 15 bars. Range: 1.20%. Volume multiplier: 1.2×. Body ratio: 0.55. Wider range tolerance for volatile 24/7 markets. Looser volume threshold because crypto volume behavior differs from traditional markets. Futures Lookback: 20 bars. Range: 0.40%. Volume multiplier: 1.4×. Body ratio: 0.45. Tight range detection for institutionally driven instruments. Higher volume requirement to match the tick-level precision of futures order flow. Forex Lookback: 25 bars. Range: 0.25%. Volume multiplier: 1.3×. Body ratio: 0.50. Longest lookback and tightest range for the slow, deliberate consolidations common in major pairs. Moderate volume threshold. Stocks Lookback: 22 bars. Range: 0.50%. Volume multiplier: 1.4×. Body ratio: 0.50. Balanced settings between futures and forex. Works across individual equities and equity indices. Commodities Lookback: 22 bars. Range: 0.35%. Volume multiplier: 1.4×. Body ratio: 0.50. Designed for gold, silver, oil, and similar instruments. Tighter than forex but more tolerant than futures. Handles institutional spikes well. Custom All four parameters are set manually in the Amd Logic and Absorption Filter groups. Use this when the presets do not match the behavior of a specific instrument or timeframe combination. Note: the manipulation search window, FVG size filter, and ATR length are always set manually regardless of preset. These three parameters are active for all presets and can be adjusted freely. 5. Sessions Amd Absorption detects AMD cycles only within active session windows. Outside of sessions, no accumulation is tracked, no sweeps are detected, and candle coloring is inactive. This prevents false setups forming during off-hours thin markets. Three sessions are configurable: Asia, London, and New York. Each session has an independent toggle, a clock-picker for start and end time, and a background color. All session times are entered in your selected timezone, which can be set to any UTC offset from UTC-12 to UTC+12. A thin vertical line marks both the opening and closing of each active session. This gives you a clear visual boundary for each session's cycle. The opening line and closing line use the same configurable color. 6. Distribution box When a signal fires, a distribution target box is drawn from the entry bar forward. The box represents the expected move from entry to take profit. Two stop loss modes are available: Atr mode Stop loss distance is calculated as ATR × the configured multiplier. This gives a consistent distance across all setups regardless of the exact FVG size. Useful for instruments where ATR matches your natural stop placement. Fvg structure mode Stop loss is placed at the outer edge of the FVG candle — above the FVG high for a bear setup, below the FVG low for a bull setup. This uses the actual market structure as the invalidation point, which is how many practitioners manage stops on this type of setup. The take profit is calculated as: entry ± stop distance × RR ratio. The default ratio is 2.0, giving a 1:2 reward-to-risk setup. The ratio is adjustable. The box width is fixed in bars. It does not track price. When the configured number of bars elapses, candle coloring for the distribution phase stops automatically. For position sizing and stop management, Risk Management Engine by Anonycryptous can be used alongside this indicator. 7. Price levels Volume-weighted pivot highs and lows are drawn as horizontal reference lines. Pivot highs above current price act as resistance. Pivot lows below current price act as support. Each level shows its exact price value. Line appearance reflects volume strength. A stronger volume reading at the pivot produces a more visible glow layer. Weaker pivots are more subdued. Levels disappear automatically when price touches them. The maximum number of visible levels is configurable. These levels serve as structural context and potential distribution targets for confirmed signals. 8. Candle coloring Amd Absorption colors candles to show the current phase of the cycle. The coloring is active only within session windows. Gray — accumulation phase. Price is consolidating within the detected range. Red (bear) or green (bull), dim — manipulation phase. A sweep has been detected and the indicator is searching for a confirming FVG. Colors the sweep candles and any subsequent candles until the FVG fires or the search window expires. Absorption color (default purple) — absorption bar. A candle within the manipulation phase that meets both volume and body conditions. Also marked with a dot above or below the bar. Red (bear) or green (bull), dim — distribution phase. Fires from the signal bar and continues until the distribution box width elapses. Priority: absorption color overrides distribution, which overrides manipulation, which overrides accumulation. 9. Dashboard The dashboard shows: - Session — current active session or off - Preset — active asset preset - Last signal — direction of the most recent confirmed signal - Last session — which session the last signal occurred in - Abs / setups — absorption-confirmed signals vs total AMD setups detected - Abs filter — whether the absorption filter is on or off - Accumulation — current accumulation state: active, searching, or none Position is configurable: top left, top right, bottom left, or bottom right. Size is configurable: tiny, small, or normal. 10. Settings reference 10.1 Sessions - Timezone — utc offset for session time entry - Asia / London / New York — toggle, time picker, background color per session - Show session open lines — vertical lines at session open and close - Session line color 10.2 Preset - Asset preset — crypto / futures / forex / stocks / commodities / custom 10.3 Amd logic - Accumulation lookback — bars used to measure consolidation range (custom only) - Max accumulation range (%) — maximum range width to qualify (custom only) - Manipulation search window — bars to search for a sweep after accumulation - Min fvg size (atr multiplier) — minimum gap size for distribution confirmation - Atr length — period for atr calculation - Sl mode — atr or fvg structure - Sl atr multiplier — stop distance multiplier in atr mode - Rr ratio — reward-to-risk ratio for the distribution box - Distribution box width (bars) — fixed bar width of the distribution target box 10.4 Absorption filter - Enable absorption filter — toggle on/off - Min volume multiplier — minimum volume relative to average (custom only) - Max body/range ratio — maximum body-to-range ratio (custom only) - Volume average length — lookback for rolling volume average 10.5 Price levels - Show price levels — toggle on/off - Pivot lookback — bars left and right to confirm a pivot - Min volume multiplier — minimum volume at the pivot bar - Volume average length — lookback for volume average - Support level color — color for pivot lows - Resistance level color — color for pivot highs - Max levels shown — maximum number of visible levels 10.6 Visuals - Show accumulation box - Show manipulation box - Show fvg box - Show entry signal - Bull color — color for bullish setups and signals - Bear color — color for bearish setups and signals - Absorption color — color for absorption bar highlight and dot - Distribution color — candle color during the distribution phase 10.7 Dashboard - Show dashboard - Position - Size 11. How to use 11.1 Initial setup 1. Select the preset that matches your instrument. 2. Set your timezone to match your location or preferred session reference. 3. Enable the sessions you trade. Set the times to match the actual session opens for your timezone. 4. Choose a stop loss mode. Fvg structure is the more precise option. Atr is more consistent if FVGs on your timeframe vary significantly in size. 5. Set your RR ratio. Default 2.0 is a starting point — adjust to your own risk management rules. 6. If using the custom preset, start with the preset values as a reference and tune from there. 11.2 Reading the chart Look at the session background. Once a session opens, accumulation detection begins. When candles turn gray, accumulation is active. The indicator has found a range that qualifies as consolidation. This is the waiting phase. When candles turn red or green, a sweep has been detected. The indicator is now looking for a confirming FVG. This is the alert phase — something is happening. When a purple (or absorption-colored) candle appears with a dot, the sweep bar showed absorption. This is the highest-quality moment within the manipulation phase. A signal is likely imminent if a FVG forms on the next bars. When a signal triangle fires, the full AMD cycle has confirmed with FVG and absorption. The distribution box appears showing the entry level and target. 11.3 Illustrative bull scenario Educational example only. Not a trading recommendation. Session opens. Candles turn gray — accumulation detected between two levels. After several bars, price dips below the accumulation low on a high-volume candle that closes near its open. The candle colors purple. A dot appears below it. Two bars later, a gap forms above — price has displaced back through the range. A green triangle fires below the entry bar. The distribution box extends to the right showing the 1:2 target. A support level line sits just below the sweep low confirming the structural context. 11.4 Illustrative bear scenario Educational example only. Not a trading recommendation. Session opens in London. Candles turn gray — a tight consolidation forms. Price spikes above the range high on elevated volume. The spike candle has a large wick and closes back below the high — body is less than 40% of the bar range. The candle turns purple. A dot appears above it. A FVG opens below. A red triangle fires above the entry bar. The distribution box drops from entry toward the calculated take profit. A resistance level hovers just above the sweep high. 11.5 Using the absorption filter With the filter on, the signal only fires when the manipulation sweep bar shows mechanical absorption. This reduces total signals but increases the average quality of what does fire. The dashboard shows abs / setups — how many confirmed absorptions versus total AMD patterns detected. A ratio of 1/5 is normal. The filter is stricter by design. With the filter off, every valid AMD + FVG pattern produces a signal regardless of volume. Use this to explore how many setups form on your instrument before deciding whether the absorption requirement is helping or filtering too aggressively. Regardless of filter setting, the candle coloring always shows the full AMD cycle. A setup without a triangle is still visible through the gray accumulation, the colored manipulation phase, and the FVG box. Traders who want to act on every AMD cycle can use the visual coloring as their cue and treat the triangle as an additional confirmation rather than a requirement. 11.6 Timeframe guide - 1m–3m: scalp setups. Absorption filter on. Tight preset (futures or commodities). - 5m–15m: intraday setups. All presets apply. Standard settings. - 30m–1h: swing context. Manipulation window and accumulation lookback can be increased. - 4h and above: macro context only. Signals will be infrequent. Use to identify major cycle pivots. 12. Tips The manipulation search window is your primary tuning lever. If the indicator misses setups you can see visually, increase the manipulation window. If it produces setups that do not look like genuine sweeps, tighten the range width or increase the volume multiplier. The absorption filter is directional. A bear sweep that qualifies will have a large upper wick and a small body. A bull sweep that qualifies will have a large lower wick and a small body. If you see a purple dot on a bar with a small wick, the volume threshold is too low — raise the min volume multiplier. Price levels are structural context, not signals. Use them to assess whether a distribution target has a logical resting point — a prior support or resistance level aligned with the take profit zone strengthens the setup. Multiple AMD cycles can form within a single session. The state resets after each completed cycle. If an accumulation forms but no sweep follows within the search window, the state clears automatically and the indicator waits for the next consolidation. Candle coloring stops at the session close. If candles outside the session boundaries show unexpected colors, check that your session times are correctly set for your timezone. 13. Disclaimer This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation. Trading financial instruments involves substantial risk of loss. Past performance is not indicative of future results. You may lose all of your invested capital. Anonycryptous accepts no responsibility or liability for any losses incurred as a result of using this indicator.
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của Anonycryptous
Gaussian Channel System [GCS]## DESCRIPTION Gaussian Ribbon Engine (GRE) is a multi-layer trend analysis system built on the Arnaud Legoux Moving Average (ALMA), which applies a Gaussian (bell curve) weighting function to price data instead of the linear or exponential weights used by traditional moving averages. **Mathematical Foundation** ALMA uses a Gaussian kernel — the same bell-curve distribution found in statistics and physics — to weight the prices in its lookback window. The Gaussian function is parameterized by two values: offset (which shifts the bell curve left or right, controlling responsiveness vs. smoothness) and sigma (which controls the width of the bell curve, determining how sharply weights decay from the center). The formula applies: w(i) = exp(-((i - offset * (N-1))^2) / (2 * sigma^2 * N^2)), where each price bar receives a weight according to its position on the Gaussian curve. This produces a moving average with mathematically optimal noise filtering properties. GRE constructs five ALMA layers with increasing periods (default 9, 21, 55, 100, 200), creating a visual ribbon. When all five layers align in order (fastest on top for bullish, fastest on bottom for bearish), the market is in full directional agreement. The spread between the outermost layers, measured as a percentage and compared to its own historical average, identifies squeeze (convergence) and expansion (divergence) conditions. **9-Point Confluence Scoring** The scoring matrix evaluates: price vs. Layer 1, Layer 1 vs. 2, Layer 2 vs. 3, Layer 3 vs. 4, Layer 4 vs. 5 alignment, Layer 1 slope direction, Layer 3 slope direction, RSI above/below 50, and DI+/DI- directional movement. Signals fire when the score crosses the configurable threshold with ADX confirmation. **Features** - Five-layer ALMA ribbon with Gaussian kernel weighting - Adjustable offset (0-1) and sigma parameters for fine-tuning the Gaussian bell shape - Ribbon spread analysis with squeeze and expansion detection - 9-point confluence scoring with visual dot notation in dashboard - ATR-based dual take-profit levels (TP1 and TP2) - Squeeze breakout signals when ribbon compresses then expands - ADX and volume confirmation filters - Full color-coded dashboard with regime classification - Multiple alert conditions ---
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của Jamtrader2020
1
Traded Value Tracker (JPY Billions)【概要】 このスクリプトは、株式投資における「流動性リスク」をエンジニアリング的な視点で管理するために開発されました。 通常の出来高（株数）ではなく、**売買代金（金額ベース）**を表示することで、その銘柄にどれだけの「実弾（資金）」が投入されているかを一目で判別できます。 【なぜ「売買代金」が必要なのか？】 株価が異なる銘柄同士を比較する際、株数ベースの出来高だけでは、本当の流動性を測ることはできません。 例： 株価100円の銘柄の10万株（1,000万円）と、株価10,000円の銘柄の10万株（10億円）では、板の厚みもリスクの大きさも全く異なります。 このインジケーターを使用することで、**「時価総額に対して十分なトラフィック（売買代金）があるか」「自分の注文で板を壊してしまわないか」**を正確にデバッグすることが可能です。 【主な機能】 億円単位の表示: 日本株の分析に最適化された「億円」単位での表示。 移動平均線 (Volume MA): 直近の平均的な流動性と比較して、今日の盛り上がりを視覚化。 判定ロジックのスイッチ: 前日比での色判定（デフォルト）：トレンドの継続性を重視。 当日始値比での色判定：当日の勢いを重視。 カスタマイズ可能な基準線: 自分が最低限必要とする流動性（例：10億円など）を水平線として表示可能。 【推奨される使い方】 銘柄選定のフィルタリング: 売買代金10億円、時価総額500億円以上の「安全圏」銘柄を特定する。 急落の予兆検知: 価格が停滞しているのに売買代金だけが異常に膨らむ（エネルギーの衝突）を検知。 ジリ安の回避: 売買代金が平均を下回り、ダラダラと下げる「関心の喪失」状態を回避。
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của ken_akatsuki18
2
A/D Line with Adaptive Strength BandsThis indicator analyzes the Accumulation/Distribution (A/D) line using a normalized linear regression slope over a rolling lookback period that can adjust automatically to the chart timeframe. The A/D line is built from price and volume, with each bar contributing positive or negative money flow depending on where the close falls within the bar’s range. The script then smooths the A/D line with an EMA and applies a linear regression to estimate its underlying trend. A key feature of the script is its adaptive lookback. In Auto mode, the regression length adjusts by timeframe so the indicator remains responsive on intraday charts, balanced on daily charts, and not overly slow on weekly or monthly charts. In Manual mode, the user can set a fixed lookback length. Rather than using the raw regression slope alone, the script normalizes the slope by dividing it by the standard deviation of the smoothed A/D line over the same lookback window. This is important because the A/D line is cumulative, so its raw values can become very large and are not directly comparable across different stocks, sectors, or timeframes. A raw slope that appears meaningful on one chart may be insignificant on another simply because the scale of the A/D line is different. Normalization solves that problem by expressing the trend relative to the A/D line’s own recent variability. In other words, it shows whether the current slope is strong or weak compared with that stock’s normal behavior. This makes the indicator more informative than a simple endpoint comparison and more useful for comparing the strength of accumulation or distribution across various stocks. The output is classified into bands such as Strong Accumulation, Accumulation, Neutral, Distribution, and Strong Distribution. The A/D line and its EMA are plotted as thin reference lines, while the regression slope line is highlighted to make the dominant money-flow trend easier to see. The result is a cleaner visual tool for identifying improving or weakening accumulation/distribution and for comparing relative money-flow strength across different securities.
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của BigH57
Macro Accumulation System (Suhaib's Signals)This indicator is designed to identify high-probability long-term accumulation zones using a combination of macro Fibonacci levels and trend filtering. It automatically plots the 200 EMA to define overall market direction and calculates a single Fibonacci range from the all-time high (ATH) to the all-time low (ATL)—ensuring a true macro perspective with no noise or overfitting. The key focus is the Golden Zone (0.618 – 0.705), widely regarded as an institutional accumulation area.
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của suhaib_shihab
CVD Background | Institutional Order Flow Bias ModelCVD Background | Institutional Order Flow Bias Model Overview CVD Background is a quantitative market pressure model built around Cumulative Volume Delta (CVD). The indicator evaluates aggressive buying versus selling activity using lower timeframe volume aggregation and projects directional dominance directly onto the price chart as a background regime filter. This tool is designed for traders who prioritize order flow imbalance over price-only signals. Methodology Cumulative Volume Delta measures the net difference between market buy volume and market sell volume. This model: Aggregates lower timeframe delta data Applies anchor-period reset logic Identifies positive vs negative flow dominance Classifies market state into two regimes Regime 1 — Positive Delta (Accumulation) Background turns Green. CVD > 0 ────────────────────────── ▲ │ BUYER AGGRESSION │ 0 ────┼────────────────── │ │ Background State: 🟢 GREEN Interpretation: Buy-side market orders dominate Participation imbalance favors upside continuation Regime 2 — Negative Delta (Distribution) Background turns Red. The result is a clean structural bias overlay representing participation imbalance. CVD < 0 ────────────────────────── │ │ 0 ────┼────────────────── │ ▼ SELLER AGGRESSION Background State: 🔴 RED Interpretation: Sell-side market orders dominate Participation imbalance favors downside continuation --------------------------------------------------------------- Regime Transition Model Positive Flow ▲ │ │ ────────────0──────────── │ │ ▼ Negative Flow Zero line acts as a structural aggression divider. Above → Accumulation Below → Distribution ------------------------------------------------------------ Strategic Applications This model functions as a regime filter, not a signal generator. Professional use cases include: Trend alignment validation Breakout participation confirmation Liquidity sweep filtering Momentum continuation screening Avoidance of counter-flow positioning It is particularly effective when paired with: Market structure analysis VWAP models Volatility expansion frameworks Liquidity mapping systems Structural Advantages • No visual clutter • No predictive overlays • No repainting • Timeframe-agnostic implementation • Adaptive reset control via Anchor Period The indicator emphasizes clarity of dominance rather than entry precision. Intended Audience This model is built for: Futures traders Crypto derivatives traders Intraday equity traders Systematic traders using bias filters Order flow and volume-based strategists Conceptual Framework Price reflects agreement. Volume reflects participation. Delta reflects aggression. CVD Background isolates aggression. Risk Statement This indicator measures participation imbalance, not guaranteed price direction. It should be integrated within a structured risk and execution framework.
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của aang-and-appa
Accumulation Zone Profiles [UAlgo]Accumulation Zone Profiles is an overlay indicator that detects low volatility accumulation phases and automatically builds a fixed range volume profile for each confirmed zone. The script uses a statistical volatility model based on log returns, identifies periods where volatility compresses into an unusually quiet regime, then verifies that price action remains sufficiently sideways before confirming the zone. When a zone is confirmed, the indicator draws two complementary views: A highlighted accumulation range on the chart A fixed range volume profile drawn to the right of the zone, including Point of Control and Value Area levels The intent is to turn consolidation into a structured map. Instead of treating ranges as vague rectangles, the script assigns a volume distribution to the range so you can see where the market accepted price, where it rejected price, and which levels are most likely to matter during expansion. 🔹 Features 1) Statistical Accumulation Detection Using Log Volatility The detection engine starts from log returns r = ln(C / C ) and builds an EWMA based volatility estimate. Volatility is converted into log space and evaluated with a rolling distribution model. A z score determines whether the current volatility is unusually low relative to its own history. Zones begin when the z score falls below a configurable entry threshold and they end after volatility recovers above an exit threshold for a configurable number of confirmation bars. 2) Sideways Quality Filter With Trend Score Not every low volatility period is true accumulation. The script measures drift using a trend score defined as: absolute sum of returns divided by sum of absolute returns Lower values indicate more rotation and less directional drift. A maximum trend score filter ensures zones remain meaningfully sideways before a profile is created. 3) Non Repainting Option Using Confirmed Bars When enabled, the system only updates on confirmed bars. This reduces repainting behavior and makes zone start and zone end decisions more stable for live trading workflows. 4) Fixed Range Volume Profile Per Zone For each confirmed accumulation zone, the script builds a histogram of volume across a user selected number of price rows. Each bar’s volume is distributed into bins according to how much of that candle range overlaps each bin. This produces a true fixed range profile for the zone. The profile is drawn to the right of the zone so it does not cover price action. 5) Point of Control and Value Area Levels The highest volume row is treated as the Point of Control. Value Area High and Value Area Low are computed by expanding outward from POC until a target percent of total volume is captured. This creates a practical acceptance framework inside the zone. Optional plotting allows: Highlighting the POC row Drawing VAH and VAL lines Drawing zone boundary guides Showing an information label that summarizes zone statistics 6) Tick Alignment For Clean Levels If enabled, the zone range, bin step size, and derived levels are aligned to the instrument tick size. This produces cleaner price levels and reduces floating point noise in labels and lines. 7) Object Budget Management Volume profiles use many boxes. The script computes an effective rows value based on the number of profiles you choose to keep, then limits total box usage so you are less likely to hit platform object limits. Older profiles are deleted automatically when new ones are created. 8) Alerts Two alerts are available: Accumulation Zone Started Accumulation Zone Confirmed and Profile Created This supports automation such as watchlist monitoring and breakout preparation. 🔹 Calculations 1) Log Return and EWMA Variance The script defines log return as ln(C / C ) and uses an EWMA of squared returns as a variance proxy. Alpha for EWMA: f_alpha(int len) => 2.0 / (len + 1.0) Log return: lr = math.log(close / close ) lr := na(close ) or close == 0.0 ? 0.0 : lr EWMA variance and volatility: alphaFast = f_alpha(fastLen) var float ewmaVarR = na ewmaVarR := na(ewmaVarR ) ? lr * lr : alphaFast * (lr * lr) + (1.0 - alphaFast) * ewmaVarR vol = math.sqrt(math.max(ewmaVarR, 0.0)) 2) Log Volatility Distribution and z Score Volatility is transformed into log space to stabilize distribution behavior. The script maintains EWMA estimates of mean and second moment, then computes standard deviation and z score. eps = 1e-10 logVol = math.log(vol + eps) alphaDist = f_alpha(distLen) var float m1 = na var float m2 = na m1 := na(m1 ) ? logVol : alphaDist * logVol + (1.0 - alphaDist) * m1 m2 := na(m2 ) ? logVol * logVol : alphaDist * (logVol * logVol) + (1.0 - alphaDist) * m2 sigma = math.sqrt(math.max(m2 - m1 * m1, eps)) z = (logVol - m1) / sigma Interpretation: Negative z means volatility is below its typical level More negative z means stronger compression 3) Zone Start and Zone End Conditions Entry and exit logic uses the z score relative to thresholds: Start when z is less than or equal to minus Enter Threshold End when z is greater than or equal to minus Exit Threshold for Exit Confirm Bars lowNow = not na(z) and z <= -enterZ highNow = not na(z) and z >= -exitZ Exit confirmation counter: zb.exitCount := highNow ? zb.exitCount + 1 : 0 bool exitByConfirm = zb.exitCount >= exitBars A maximum zone duration also forces closure: bool exitByMax = zb.barCount() >= maxZoneBars If exit is triggered via confirmation bars, the script removes those last bars from the zone before profiling to avoid contaminating the accumulation range with the volatility recovery phase. 4) Sideways Drift Score Filter During zone building, returns are accumulated: sumR is the signed drift sumAbsR is total movement magnitude Trend score: method driftScore(ZoneBuilder this) => math.abs(this.sumR) / math.max(this.sumAbsR, 1e-10) A zone is accepted only if: Bar count is at least Min Zone Bars Drift score is less than or equal to Max Trend Score 5) Profile Range and Row Step Once accepted, the profile range is built from the min low and max high of the zone. The range is optionally aligned to tick. Step size equals range divided by rows, with optional tick alignment: float stepRaw = (hi - lo) / rows float step = stepRaw if alignTick step := math.max(syminfo.mintick, f_roundToTick(stepRaw)) 6) Volume Histogram Construction For each bar in the zone, volume is assigned into bins. If the candle range is very small, volume goes to a single nearest bin. Otherwise, volume is distributed proportionally by overlap between candle range and each bin range. Core proportional distribution logic: float overlap = math.max(0.0, math.min(bh, binHi) - math.max(bl, binLo)) if overlap > 0 float frac = overlap / br array.set(binVol, b, array.get(binVol, b) + bv * frac) This produces binVol, a per row volume distribution. 7) POC Calculation POC is the index of the maximum bin volume. POC price is the center of that row. if v > maxV maxV := v pocIdx := b float poc = lo + (pocIdx + 0.5) * step 8) Value Area Computation Value Area is derived by expanding outward from POC until the cumulative volume reaches Value Area percent of total volume. Target volume: float target = totV * (valueAreaPct / 100.0) Expand left and right by choosing the side with higher next volume until the target is met. This creates a contiguous value area band. VAL and VAH mapping to prices: float valP = lo + left * step float vahP = lo + (right + 1) * step 9) Rendering Logic Zone highlight is drawn directly over the accumulation period using a box with configurable fill and border transparency. The volume profile is drawn as a stack of boxes to the right of the zone. Each row width is proportional to row volume relative to max row volume. Transparency is mapped so high volume rows appear more prominent. POC row can be highlighted using a dedicated color and transparency configuration. VAH and VAL can be drawn as horizontal lines across the profile region, and optional boundary lines can mark the start and end of the detected zone. 10) Profile Retention and Cleanup Profiles are stored in an array. When the number of stored profiles exceeds Keep Last Profiles, the oldest profile is deleted and all of its objects are removed. This keeps the chart responsive and prevents reaching the platform maximum object counts.
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của UAlgo
2
Chaikin Money Flow with Shaded BackgoundThis script is a modernized version of Chaikin Money Flow with time‑horizon presets, Histogram Mode, and Regime Background Shading. Preset Modes Daily – Standard (20): Classic CMF(20), ideal for swing trading. **Weekly – Short (5): Time‑scaled equivalent of CMF(20) for weekly charts. Monthly – Smooth (10): Long‑cycle accumulation/distribution smoothing. Manual: Full control over CMF length. These presets are designed to maintain **consistent time‑horizon behavior** across different chart timeframes. Line: Traditional CMF line. Histogram: Momentum‑style histogram. Hybrid: Line + histogram. CMF‑SMA Mode: Histogram shows CMF minus its SMA. CMF Change Mode: Histogram shows bar‑to‑bar CMF acceleration. Note: When using Histogram Mode, switch the Histogram Type input between CMF‑SMA and CMF Change depending on the style you want. Green: CMF > 0 (Accumulation) Red: CMF < 0 (Distribution) This provides a clean, structural read of market pressure without cluttering the chart.
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của followmytradingjournal
Institutional Value Relocation VerdictSummary in one paragraph Value Relocation Verdict ARD is an acceptance versus rejection classifier for liquid instruments on intraday to daily timeframes. It helps you act only when multiple conditions align after price pushes beyond a boundary. It is original because it treats every break as a probe and scores whether value is relocating using a break anchored VWAP relocation metric fused with time outside, extension, outside volume share, pullback quality, and failure velocity back into value. Add it to a clean chart, read the compact decision table, and use the visuals or alerts. Shapes can move while the bar is open and settle on close. For conservative alerts select on bar close. Scope and intent • Markets. Major FX pairs, index futures, large cap equities, liquid crypto • Timeframes. One minute to daily • Default demo used in the publication. NQ1! on 15 minute • Purpose. Prevent trading raw breakouts and raw fades before the market proves acceptance or rejection • Limits. This is an indicator. It does not place orders and does not simulate fills Originality and usefulness This is not a mashup of common indicators. It is a state machine that measures what happens after a boundary is breached. • Unique concept or fusion. Breaks are treated as probes and classified by value relocation using break anchored VWAP plus behavioral metrics outside the boundary • What failure mode it addresses. False starts in chop, one bar breakouts that reverse, and fades taken too early when value is actually relocating • Testability. The table shows the live decision, the two competing scores, and the driver metrics so users can verify why a suggestion appears • Portable yardstick. All distances are normalized in ATR units so thresholds travel better across symbols • Protected scripts. Public open source, implementation visible Method overview in plain language Base measures • Range basis. True Range smoothed with ATR over ATR length • Value basis. Session anchored VWAP defines a value center, with a configurable VWAP band as the value zone Components • Boundary selection. Choose prior day high and low, opening range, prior week high and low, VWAP band edges, or custom levels • Probe state. A probe begins when price crosses a boundary. The boundary is frozen for the probe so time outside and velocity are measured consistently • Acceptance score. A 0 to 100 score built from closes outside, max extension beyond the boundary, outside volume ratio, break anchored VWAP relocation, defense touches, expansion context, and a pullback penalty • Rejection score. Evaluated only when price re enters the boundary. It fuses sweep size, snapback depth, fail velocity, speed of re entry, RVOL, compression context, and a value zone re entry bonus • Context regime. A light regime classifier uses session VWAP slope and a higher timeframe EMA slope to bias acceptance slightly in trend direction and boost rejection slightly in ranges • Session windows optional. Session follows the exchange time of the chart. Verify when changing symbol or venue Fusion rule • Two separate scores are maintained during a probe: Acceptance score and Rejection risk • During the probe, the table shows a Lean decision based on the score spread: Acceptance score minus Rejection risk • Thresholds for ACC and REJ are explicit in Inputs and the drivers are visible in the table Signal rule • ACC Up appears when a probe above the boundary reaches acceptance score threshold for the configured confirm bars, closes remain outside the buffer, and chase distance is not excessive • ACC Down is symmetric for probes below the boundary • REJ Up appears when price re enters the boundary after probing above and rejection score meets its threshold • REJ Down is symmetric for probes below the boundary • WAIT shows when no probe is active or when neither side has a clear edge What you will see on the chart • Active boundary line. Thick line at the frozen probe boundary • Value zone. Optional VWAP band fill and optional VWAP lines for context • Probe band. Optional thin band around the boundary equal to the outside buffer • Break VWAP. Optional line during the probe that shows break anchored VWAP • Markers. ACC and REJ markers on the bar where the model resolves • Optional plan overlay. Entry, stop, and target lines for the last resolved signal, informational only • Compact table. A decision dashboard with Lean, State, Regime, ACC score, REJ risk, and the drivers Table fields and quick reading guide • Decision. Lean ACC, Lean REJ, or Wait • State. Idle, Probe Above, Probe Below, Waiting Levels, or Out of Session • Regime. Trend Up, Trend Down, or Range • ACC Score. 0 to 100 plus a bar gauge • REJ Risk. 0 to 100 plus a bar gauge • Boundary. Frozen boundary price during the probe • Value VWAP. Session anchored VWAP price • Outside. Closes outside count versus Accept min closes outside • Delta. ACC Score minus REJ Risk, used to express separation • Drivers shown by preset. Extension ATR, Reloc ATR, Out Vol, Pull ATR, RVOL, Fail Vel, Sweep ATR, Snap ATR, Expansion, Compression Reading tip. When Session is ON and Delta shows clear separation, outcomes tend to be easier to manage than when both scores are similar. Inputs with guidance Setup • Theme. Dark or Light. Matches chart background for readability • Preset. Minimal, Standard, Pro. Minimal is the clean chart default • Session and Require session. Typical use is ON for index futures and intraday equity sessions • Cooldown bars. Typical range 0 to 15. Higher reduces clustered probes • Max probe bars. Typical range 20 to 120. Lower avoids stale probes • Decision delta. Typical range 10 to 25. Higher demands more separation before leaning Levels • Mode. Prev Day HL, Opening Range, Prev Week HL, VWAP Band, Custom • Opening range minutes. Typical 15 to 60 on intraday charts • Break trigger. Close is more conservative. Wick is earlier but noisier • VWAP band width ATR. Typical 0.5 to 1.5 • Custom upper and Custom lower. Only active in Custom mode. Both must be greater than 0 and upper must be greater than lower Scoring • Outside buffer ATR. Typical 0.05 to 0.30. Higher requires stronger closes outside • Accept min closes outside. Typical 3 to 10. Higher confirms slower relocations • Accept min extension ATR. Typical 0.6 to 1.8. Higher demands stronger expansion • Accept min outside volume ratio. Typical 0.45 to 0.80. Higher demands conviction • Accept min relocation ATR. Typical 0.10 to 0.50. Higher demands value shift beyond the boundary • Accept max pullback ATR. Typical 0.30 to 1.00. Lower penalizes weak holding • Accept confirm bars. Typical 1 to 3. Higher reduces one bar acceptance • Accept score threshold. Typical 60 to 85 • Accept max chase distance ATR. Typical 0.8 to 2.0. Lower avoids late entries • Defense touches needed and defense touch distance ATR. Use 0 to disable. Typical 1 to 2 touches, 0.15 to 0.35 distance Rejection scoring • Reject max closes outside before re entry. Typical 2 to 6. Lower demands fast failure • Reject min fail velocity. Typical 0.3 to 1.0. Higher demands sharper failure • RVOL length and reject min RVOL. Typical 20 and 1.1 to 1.8 • Reject min sweep ATR and reject min snapback ATR. Typical sweep 0.25 to 0.80, snap 0.10 to 0.50 • Reject score threshold. Typical 60 to 85 Context • Context timeframe. Typical 15, 30, or 60 minutes for intraday • Context EMA length. Typical 34 to 100 • VWAP slope bars and trend slope threshold. Typical 4 to 12 bars, threshold 0.05 to 0.15 • Bias scores by regime. ON by default. Turn OFF if you want pure probe math only UI • Show signals, probe band, value fill, value lines, signal labels • Table position and table size Clean default. Minimal preset with value fill ON, value lines OFF, and labels OFF Usage recipes Intraday trend focus • Preset Standard • Context timeframe 30 • Bias scores by regime ON • Accept score threshold 75 • Reject score threshold 80 • Break trigger Close • Decision delta 20 Intraday mean reversion focus • Preset Standard • Mode Prev Day HL or Opening Range • Bias scores by regime ON • Reject max closes outside 3 • Reject min sweep 0.35 and snapback 0.20 • Reject score threshold 70 • Decision delta 15 Swing continuation • Timeframe 60 minutes to 4 hours • Context timeframe 1 day • Increase Accept min closes outside and Accept confirm bars • Increase Max probe bars • Use Close trigger • Raise Decision delta Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • No certainty about the future • Intrabar motion reminder. Shapes can move while a bar forms and settle on close • Standard candles are recommended. Non standard chart types change OHLC and can alter the meaning of sweeps and snapbacks Honest limitations and failure modes • Economic releases and thin liquidity can invalidate sweep and relocation behavior • Gap heavy symbols can distort intrabar probe stats on small timeframes • Very quiet regimes reduce score separation. Consider longer windows or higher thresholds • Session windows use the exchange time of the chart • Custom mode requires valid upper and lower values or the script will wait Open source reuse and credits • None Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
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của exlux
Accumulation/Distribution Line (Volume Surge Markers) - TPThis indicator plots a classic Accumulation/Distribution (A/D) Line, built manually from the candle’s close position and volume, then adds circle markers when volume spikes versus the previous bar. What the A/D Line means (in plain English) Think of each candle as a “battle” between buyers and sellers: If the candle closes near the high, that bar is treated as buying pressure (accumulation). If the candle closes near the low, that bar is treated as selling pressure (distribution). If it closes near the middle, it’s more neutral. The script converts that “close location” into a score from -1 to +1, multiplies it by volume, then cumulates it over time. So the A/D line rises when “buying-style” bars dominate, and falls when “selling-style” bars dominate. Volume Surge Circles A circle prints when the current bar’s volume is at least 50% higher than the previous bar (default). This helps you spot moments where participation suddenly increases and can confirm (or warn) about moves. Best way to use it This tool is most useful when you overlay it on the price chart (like in the screenshot), so you can quickly compare: price trend vs A/D trend (divergences), and where volume surges occur relative to breakouts, pullbacks, or reversals. Tip: Watch for cases where price keeps rising but the A/D line goes flat or down — that can hint the move is losing real accumulation.
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của TradersPod
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