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Selling Volume Spike Alert [Ale]VS Alert — Selling Volume Spike Alert This is the mirror image: it watches for unusually large bursts of selling volume. It uses the same structure but flips the subject. It defines a bearish bar as close < open and treats that bar's volume as selling volume. In its pane the selling volume points up (red columns) as the protagonist, with buying volume pointing down (teal). The same 20-period volume MA is the baseline. The spike math is identical — selling volume divided by the average gives the spike ratio, tagged ALTO at 2x and EXTREMO at 3x, with the same threshold lines and shaded band. Spikes recolor the bar, drop a 💧 or 🔻 label at the top, and tint the background. The info table (top-right) mirrors the buying version: current volume, MA, spike ratio, delta, and state. Alerts and alertcondition() hooks fire on high/extreme selling volume, with distinct names so they don't collide with the buying indicator's alerts. The read here is the opposite: big selling spike = potential bearish pressure / distribution or de-risking. How to read them together: an extreme spike on BVS with nothing on SVS is clean buying; the reverse is clean selling pressure; simultaneous spikes on both panes suggest a climax or absorption event — worth caution since those often precede reversals.
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của spawnsaber
Smart Market Dashboard PRO Gap Trader EditionA comprehensive intraday dashboard designed specifically for Borsa Istanbul (BIST) equity traders. This indicator focuses on opening gap analysis, combining volume, delta, and price action to help traders make informed decisions at market open. Key Features: Gap Detection & Classification – Automatically identifies and labels opening gaps (Full Gap Up/Down, Partial Gap Up/Down) with configurable minimum gap % threshold Volume & Delta Analysis – Displays real-time cumulative delta, buy/sell volume ratio, and VWAP deviation Multi-Timeframe Data – Fetches previous day’s OHLCV data to calculate gap reference levels accurately Visual Dashboard – A clean on-chart table showing key metrics: gap size, volume trend, delta direction, and gap fill probability Smart Alerts – Configurable alerts for gap setups, gap fill events, and volume anomalies How It Works: Gap levels are calculated using End-of-Day (previous session close) as the reference price All calculations are based on confirmed bar data (barmerge.lookahead_off) to prevent repainting on historical bars Recommended Usage: Timeframe: 1–15 minute charts Market: BIST stocks (optimized for Turkish market open at 10:00 AM) Works best during the first 30–60 minutes of the trading session Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice. Always manage your risk accordingly. Note: As with all intraday indicators, values may update within the current live bar until it closes
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của shadi1982iphone
Delta Volume Profile ProDelta Volume Profile Pro is a volume profile indicator built upon the quadrant structure originally introduced by BigBeluga in the Quadro Volume Profile script. Full credit for the original concept and core logic goes to BigBeluga. 🔍 What it does This indicator divides the visible price range into four quadrants relative to the current price and distributes volume across price bins, revealing where the most significant buying and selling activity has occurred above and below the market. Each quadrant displays: Upper Sell Quad — sell volume concentrated above the current price Upper Buy Quad — buy volume concentrated above the current price Lower Buy Quad — buy volume concentrated below the current price Lower Sell Quad — sell volume concentrated below the current price A Point of Control (PoC) dashed line marks the price bin with the highest volume in each quadrant. Four percentage labels at the current price level show how total volume is distributed across all quadrants, allowing traders to quickly assess the balance between buying and selling pressure on both sides of the market. ⚙️ Original additions over BigBeluga's base 1. Proxy Volume Engine — works on any broker Many brokers and CFD platforms do not provide usable native volume data. This indicator includes an internal map of 80+ symbols to their most liquid equivalents: Forex pairs → (tick volume, CFD-compatible scale) Metals (Gold, Silver, Platinum) Crypto (BTC, ETH, etc.) Oil, Gas → Indices & Futures The proxy is fetched automatically via request.security. You do not need to change any settings when switching between brokers — the indicator detects the symbol and loads the appropriate volume source. 2. Proxy-First Priority Unlike a simple fallback system, this indicator uses the proxy as the primary volume source for all mapped symbols. This guarantees consistent, real volume data regardless of the broker you are charting on — whether EasyMarkets, FXCM, or any CFD provider. The native volume is only used if the proxy fails or if you explicitly enable "Force Native Volume" in settings. 3. Daily Session Mode When enabled, the profile anchors to the start of the current daily session and resets automatically at each new day — useful for intraday traders who want to see only today's volume distribution. 4. Daily VWAP Anchor An optional Volume Weighted Average Price line anchored to the daily session open, calculated using the same proxy volume logic as the profile for accuracy across all brokers. 📐 How to read the indicator Profile bars (left and right of the vertical axis): Left side bars = dominant directional volume per price bin Right side bars = opposing volume per price bin Deeper color = higher volume concentration at that price level Longer bars = more activity at that price — key support/resistance zones The four labels at current price: SELL% | BUY% SELL | BUY ──────────────────── ← current price BUY% | BUY% BUY | SELL Upper left (SELL%) — percentage of total volume that was selling above current price Upper right (BUY%) — percentage of total volume that was buying above current price Lower left (BUY%) — percentage of total volume that was buying below current price Lower right (SELL%) — percentage of total volume that was selling below current price Point of Control (PoC) — dashed line: Marks the single price level with the highest volume in each quadrant Strong reference for support and resistance 📊 How to interpret the percentages Example from chart — USDCAD 15M: Upper: SELL 2.90% | BUY 3.75% Lower: BUY 51.79% | SELL 41.57% Reading: 51.79% of all volume below price was buying → strong buy accumulation below 41.57% of all volume below price was selling → significant sell pressure also present Only 2.90% + 3.75% above price → very little activity above current price Interpretation: price is near the top of the range with most activity below General rules: Large BUY% below + small SELL% above → bullish bias, buyers in control Large SELL% above + small BUY% below → bearish bias, sellers in control Balanced percentages on both sides → price in equilibrium, expect breakout PoC line in lower quad with high BUY volume → strong support level PoC line in upper quad with high SELL volume → strong resistance level ⚠️ Important notes This indicator is a visual analysis tool. It does not generate buy or sell signals. Past volume distribution does not guarantee future price behavior. The proxy volume reflects tick volume from the mapped exchange, not actual traded notional value. On weekends or when markets are closed, volume may be incomplete, affecting the profile. ⚙️ Settings reference ParameterDefaultDescriptionUse Daily Session ModeOFFON: resets profile each day. OFF: fixed lookbackLookback Period200Bars used when Session Mode is OFFForce Native VolumeOFFON: uses chart's native volume instead of proxyPrice Bins60Number of horizontal price levelsProfile Offset60Distance from last bar (in bars)Upper/Lower QuadsONShow/hide each profile sectionPoCON/OFFShow/hide Point of Control per quadrantShow Daily VWAPONPlots the session VWAP lineBuy ColorGreenProfile buy side colorSell ColorRedProfile sell side colorVWAP ColorWhiteVWAP line color 🙏 Credits Original quadrant volume profile concept and core structure: BigBeluga — Quadro Volume Profile www.tradingview.com Released under Mozilla Public License 2.0 mozilla.org
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của fabricionicolauxx
4
Gabremoku CloudsGabremoku Clouds is a volume-driven equilibrium cloud built to highlight fair-value zones, directional acceptance, and compression/expansion phases in a cleaner and more forward-looking way than traditional cloud indicators. Instead of using classic Ichimoku spans or standard deviation bands, this script builds its structure around a custom volume-weighted equilibrium line and a surrounding cloud whose width is based on Volume-Weighted Average Spread (VWAS). The result is a cloud that reacts not only to price movement, but also to how price is distributed under volume, making it useful for reading consensus, imbalance, and market acceptance. A key idea behind this indicator is that not all price movement has the same meaning. When volume concentrates inside a tighter range, the cloud compresses and signals balance or consensus. When price expands with broader spread and weaker concentration, the cloud widens and reflects uncertainty or directional transition. This gives the indicator a different purpose from standard volatility envelopes: it is designed less as a generic overbought/oversold tool and more as a market structure and equilibrium map. The script also includes a 26-period forward projection of the equilibrium cloud. This projected area is calculated from current and historical information only, then shifted forward visually to provide a future reference zone without using lookahead logic. Its purpose is not to predict price in an absolute sense, but to suggest where balance may migrate next if the current slope and cloud conditions remain consistent. What it helps identify Trend acceptance when price holds above or below the cloud with supporting volume. Fair-value reclaims when price rotates back into equilibrium after displacement. Squeeze-to-expansion transitions when the cloud compresses and then releases into directional movement. Exhaustion when price reaches a fresh extreme while volume momentum decelerates. How to use it Use the current cloud to judge whether price is trading in balance, in directional acceptance, or in transition. Use the projected cloud as a forward reference area for continuation, reversion, or future balance. Treat the signals as contextual tools, not standalone trade instructions. They work best when combined with price structure, market context, and risk management. What is new Gabremoku Clouds is not a mashup of existing tools. Its core logic is built around a custom equilibrium model that combines volume-weighted price location with volume-weighted spread behavior, then extends that structure into a forward cloud projection. The goal is to give traders a more informative cloud: one that reflects where value is forming now, how stable that value is, and where it may shift next.
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của Gabremoku
Strat SniperStrat Sniper is a multi-timeframe continuity indicator designed to help traders identify high-probability Strat opportunities while eliminating lower-quality setups. Instead of signaling every Strat pattern, this indicator filters setups using higher-timeframe continuity to focus on the trades that align with broader market direction. The result is a cleaner chart, fewer false signals, and greater confidence in execution. Features Dynamic Timeframe Selection Analyze Strat setups on any timeframe. * Leave Execution TF blank to use the current chart timeframe. * Select a specific timeframe to scan setups independently from the chart. Examples: * Trade 5-minute entries using 1-hour setups * Trade 15-minute entries using 4-hour setups * Scan Daily setups while viewing intraday charts Supported Strat Patterns Bullish: * 2-1-2 Reversal * 3-1-2 Continuation * 2-2 Reversal Bearish: * 2-1-2 Reversal * 3-1-2 Continuation * 2-2 Reversal ## Disclaimer This indicator is for educational purposes only and does not provide financial advice. All trading involves risk. Always use proper risk management and perform your own analysis before entering any trade.
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của StickTalkDunny
Signal Probability tgambinoxHere's a clean description ready to paste into TradingView when publishing: Title: Signal Probability • EMA + RSI + MACD + VWAP — tgambinox Description: This indicator scores the probability of a successful LONG or SHORT entry in real time by evaluating four technical conditions simultaneously, each worth 25 points for a maximum score of 100%. The four conditions: C1 · EMA 9/21 — Trend direction. EMA 9 above EMA 21 confirms bullish momentum; below confirms bearish. C2 · RSI (14) — Filters overbought/oversold extremes. Optimal zone is 40–60 to avoid chasing extended moves. C3 · MACD (12,26,9) — Momentum confirmation. A bullish crossover validates LONG entries; bearish crossover validates SHORT. C4 · VWAP + Volume — Price must be above (LONG) or below (SHORT) the daily VWAP, backed by above-average volume. Signal levels: 🟢 ≥ 90% — Strong signal, all conditions aligned. Triangle marker on chart. 🟡 ≥ 65% — Moderate signal, 3 of 4 conditions met. Label only. Below 65% — No signal. Wait for better alignment.
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của tgambinox
O'Neil Climax Top Detector█ OVERVIEW O'Neil Climax Top Detector plots the percentage distance of a price source from its simple moving average in a separate pane and flags the bars where three conditions associated with a climax top occur together: the price is extended into an upper band, it has run up rapidly over a short window, and the bar carries record volume. The histogram measures extension; the flag identifies where extension, runup, and volume coincide. █ HISTORY / BACKGROUND The components are drawn from William J. O'Neil's discussion of climax (blow-off) tops in How to Make Money in Stocks . O'Neil described a stock trading 70% to 100% or more above its 200-day moving average line (4th edition, page 264), a rapid price runup over roughly two to three weeks, and heavy volume on the advance as markers of a late-stage move. O'Neil presented these as qualitative, infrequently decisive sell pointers for individual growth leaders on the daily chart, not as a mechanical signal. This script operationalizes that description as a single bar-level test. █ HOW IT WORKS On the chart timeframe the script computes, for each bar: - The distance from the average: the simple moving average of the source over SMA Length , then percentage distance as (source minus average) divided by average, times 100. This is the histogram. - The extension condition: the distance is at or above the lower band. In fixed mode the band is the Fixed lower / upper band inputs (70 and 100). In adaptive mode the band is the symbol's own mean distance plus a number of standard deviations ( Adaptive lower / upper ) over Adaptive lookback . - The runup condition: the source's percentage gain over Runup lookback bars is at or above Min runup over lookback . - The volume condition: the bar's volume is a new high over Volume record lookback bars. When Require record-volume condition is off, this term is dropped. A climax bar is the conjunction of all active conditions: climax = extCond and runCond and volTerm Climax bars are recolored on the histogram and marked with a vertical line spanning the pane. Two alert conditions are exposed: one for the full climax conjunction, one for the distance reaching the lower band. █ HOW TO USE Apply on the daily chart, the resolution on which O'Neil's band and runup window are defined. Read the histogram as the degree of extension above or below the average: bars above zero trade above the average, bars below zero trade below it. The lower and upper band lines bound the extension zone. A recolored bar with a vertical line marks where extension, runup, and volume align on the same bar. Treat a flag as a candidate for review of a late-stage move, not as an instruction. █ SETTINGS - Source : series used for the average and the distance. Default close. - SMA Length : period of the simple moving average. Default 200. - Extension band mode : fixed O'Neil 70/100 band, or per-symbol adaptive band. Default fixed. - Fixed lower / upper band : the band in fixed mode. Defaults 70 and 100. - Adaptive lookback : window for the adaptive band statistics. Default 504. - Adaptive lower / upper : standard deviations above the mean distance defining the adaptive band. Defaults 2.0 and 3.0. - Runup lookback : bars over which the runup is measured. Default 10. - Min runup over lookback : minimum percentage gain to satisfy the runup. Default 25. - Require record-volume condition : include the volume term. Default on. - Volume record lookback : window over which the bar's volume must be the highest. Default 50. █ WHAT MAKES IT ORIGINAL A plain distance-from-moving-average histogram only shows extension. This script requires extension, a rapid runup, and record volume to coincide on the same bar before it flags, which is the conjunction O'Neil described qualitatively but is not present in a single distance plot. The adaptive band is a further departure: O'Neil's 70 to 100 figure is calibrated to growth leaders and is rarely reached on indices or low-volatility instruments, so the script can replace the fixed band with one derived from the symbol's own distance distribution, extending the concept beyond the instrument class it was written for. █ NOTES / LIMITATIONS - Insufficient history: the average needs SMA Length bars, the adaptive band needs Adaptive lookback bars, and the runup needs Runup lookback bars. Until those windows fill, the corresponding output is na and no flag appears. - Volume-free symbols: on instruments without volume the record-volume term resolves to na and nothing flags. Turning off Require record-volume condition runs the extension and runup pair only, a weaker two-condition test. - Timeframe: the default band and runup window reflect O'Neil's daily-chart definition. On other resolutions the thresholds keep their numeric values but lose their reference meaning. - Symbol class: the fixed band reflects individual growth-stock behavior. Use adaptive mode for indices, large-cap averages, and low-volatility instruments. - Real-time bars: conditions confirm on bar close. On the forming bar a flag and its line can appear and disappear as price and volume change until the bar closes. Historical flags do not change. - No higher-timeframe data: all computation is on the chart timeframe with no request.security and no lookahead. - Object ceiling: the script retains up to 500 vertical lines. On long histories the oldest markers are dropped as new ones are added. - The default thresholds are conceptual settings consistent with O'Neil's description, not optimized or validated values.
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của BY_Tse
Multi-Timeframe Buy/Sell AnalyzerA Multi-Timeframe Buy/Sell Analyzer maximizes trading accuracy by aligning short-term market entries with long-term market trends. Trading with only one timeframe creates a massive blind spot, leading to false signals and premature exits.Here is a comprehensive overview of how multi-timeframe analysis functions, how to build a mechanical execution strategy, and how to avoid common pitfalls.Structure an Effective Multi-Timeframe StrategyTo analyze multiple timeframes successfully, you must use a top-down approach consisting of three distinct layers.Anchor Timeframe (The Trend): Identifies the macroeconomic direction or primary market trend (e.g., Daily or 4-Hour charts).Intermediate Timeframe (The Structure): Locates key support, resistance, and value zones within that trend (e.g., 1-Hour or 30-Minute charts).Execution Timeframe (The Trigger): Pinpoints precise entry and exit signals to minimize risk and maximize risk-to-reward ratios (e.g., 15-Minute or 5-Minute charts).
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của Rwilliams_0123
Mia-MiloBullish/Bearish Market + Liquidity IndicatorThe Ultimate All-in-One Market Indicator. Finding the perfect time to enter and exit the market is the biggest challenge in trading. To trade successfully, you need an indicator that highlights buying and selling opportunities, tracks market highs and lows, measures capital flow, and counts down candle time. Here is how a comprehensive technical indicator solves these problems for you. Finding Buying and Selling Opportunities. This indicator serves as your market compass, identifying precise entry and exit points. It scans price action to generate precise buy signals during market dips and sell signals near market peaks. By eliminating guesswork, it helps you execute trades with confidence and discipline. Identifying Highs and Lows. Accurately spotting market turning points is crucial for managing risk. The indicator automatically plots key support and resistance levels, marking the absolute highs and lows of recent price movements. This allows you to place accurate stop-loss orders and target profitable exit zones before the trend reverses. Tracking Market Capital (Volume and Liquidity). To know if a move is real, you must see how much capital is actively moving the market. The indicator includes a built-in volume and capital flow index. It reveals whether institutional money is entering or exiting an asset, helping you avoid false breakouts and trade alongside major market players. Monitoring Candle Time Timing is everything when confirming a trade setup. The indicator features an on-screen countdown timer that shows exactly how much time remains before the current candlestick closes. Knowing the remaining candle time prevents you from rushing into trades prematurely and ensures your entry aligns perfectly with candle confirmation.
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của Rwilliams_0123
Volume Suite: Bubbles + Profile + VWAP/ORBHere's a full-length description written for futures/NQ traders. Volume Suite: Bubbles + Profile + VWAP/ORB An all-in-one volume and market-structure toolkit built for intraday futures traders. Volume Suite combines three professional-grade volume analysis tools into a single indicator, each with its own master on/off toggle so you can run all three together or isolate exactly the one you need. It was built with index futures like NQ (E-mini Nasdaq-100) and ES in mind, where session timing, volume distribution, and the opening range carry real predictive weight. Instead of cluttering your chart with three separate scripts that each eat into TradingView's indicator limit, this consolidates everything into one efficient package. Module ① — Volume Bubbles Volume Bubbles surfaces the bars where real money is moving. Rather than relying on a single fixed volume threshold, it ranks each bar against recent history using percentile analysis across three independent lookback windows (short, medium, and long—20, 50, and 100 bars by default). A bar only gets flagged when it clears your chosen percentile, and you control how strict that confirmation is: require just one window to agree, a majority of two, or all three for the highest-conviction signals. Detected bars are drawn as circular bubbles whose size reflects the magnitude of the event—Small (top 25%), Medium (top 10%), and Big (top 3%)—so a glance tells you whether you're looking at routine participation or a genuine volume spike. Each bubble is colored by direction: buy, sell, or mixed. You decide how direction is determined, choosing between simple candle direction, volume delta (net buying versus selling pressure pulled from a lower-timeframe scan), or "Both," which only commits to a direction when candle and delta agree, labeling everything else as mixed. The detection engine itself is flexible. You can trigger on volume only, delta only, both together (strictest), or either one (most inclusive). When delta data isn't available for a symbol, the module automatically falls back to volume-only mode so it never silently breaks. Optional in-bubble text and detailed tooltips display the underlying volume, delta, and volume ratio, along with which lookback windows confirmed the signal—useful when you want to understand why a bar was flagged rather than just that it was. Built-in alert conditions let you get notified on big clusters, medium-or-bigger clusters, or any cluster at all. Module ② — Volume Profile The Volume Profile module answers the question that matters most for futures traders: where did the trading actually happen? It distributes traded volume horizontally across price levels over a lookback range you define—either a fixed number of bars or the currently visible range—and uses a smart lower-timeframe engine that dynamically selects the optimal granularity to maximize accuracy within that range. From this distribution it derives the key reference levels professionals trade around. The Point of Control (POC) marks the single most-traded price, available as a developing line that updates bar by bar or as a static last-value line. The Value Area (68% of volume by default, fully adjustable) is bounded by the Value Area High and Value Area Low, the levels that so often act as intraday support and resistance on NQ. The module also identifies supply and demand zones from low-volume nodes, highlights profile gaps where activity drops sharply between price levels, and overlays a sentiment profile showing the dominant side—bullish or bearish—at each level, classified either by bar polarity or by buying/selling pressure within each bar. Supporting features round it out: a volume histogram that can sit at the top or bottom of your chart with an optional moving average, volume-weighted bar coloring that tints price bars by how their volume compares to the average (with separate upper and lower thresholds), and a profile stats table summarizing profile high and low, the value area levels, total and average volume, the volume MA, the bar count, and which lower timeframe the data was sourced from. Price-level labels can be aligned directly to the profile rows. The module also fires alerts when price crosses the POC, the Value Area High, or the Value Area Low, when high volume is detected, and when an extreme volume spike suggests possible exhaustion. Module ③ — NY VWAP + Opening Range The third module is purpose-built around the New York session, the window where NQ does the bulk of its meaningful work. It plots a session-anchored VWAP that resets at the start of each NY session (9:30–16:00 ET by default, configurable) and can optionally extend its final value past the close so you can see where the session settled. Because it's volume-weighted and session-reset rather than a rolling average, it gives you a clean read on the day's true average traded price—the level institutions and algos lean on. Alongside the VWAP it tracks the Opening Range (ORB): the high and low established during the first X minutes after the open (15 by default, adjustable up to two hours). Once that window closes, the module draws horizontal lines at the opening range high and low and labels them ORB-H and ORB-L. These lines extend through the rest of the session, giving you a persistent visual frame for one of the most-traded setups in index futures—the opening range breakout and breakdown. The range automatically resets each new trading day, so every session starts clean. Why use it together Each module is powerful alone, but they reinforce each other. A Big buy bubble printing right at the Value Area Low, with price reclaiming the opening range high and pushing above session VWAP, is a far stronger signal than any one of those events in isolation. Running all three on one chart gives you volume conviction, structural context, and session timing in a single glance—without burning three indicator slots or forcing you to mentally stitch together separate tools. Everything is organized under clearly labeled input groups with extensive tooltips, so you can tune the behavior to your symbol, timeframe, and trading style. Toggle off what you don't need, dial in the thresholds that match how NQ trades on your timeframe, and keep your workspace focused.
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của navbanga1
1
Margin Debt to M2 Ratio█ OVERVIEW Plots customer margin debt divided by the M2 money stock, expressed as a percent, in a separate pane, with a standard deviation band around its mean. Normalizing margin debt by the broad money supply removes the secular growth the raw series accrues through inflation and monetary expansion, so leverage readings are comparable across decades rather than trending upward by construction. █ HISTORY / BACKGROUND Aggregate customer margin debt has long been followed as a gauge of speculative leverage and risk appetite. The statistic is published monthly by FINRA, and previously by the NYSE for member firms. Reading the raw dollar figure across long spans is misleading because it rises with the size of the economy and the money supply regardless of relative leverage. Dividing margin debt by M2 is a normalization that expresses borrowing against the monetary base, isolating changes in leverage intensity from growth in the quantity of money. The approach is a normalization technique rather than a named proprietary system. Its conceptual basis is that relative leverage, not the nominal dollar level, carries the sentiment information. █ HOW IT WORKS The script requests two series at monthly resolution, forms their ratio, and derives a mean and a standard deviation band from the monthly history. 1. Margin debt is requested with request.security at the 1M timeframe using the closing value of the symbol set in the first input. M2 is requested the same way from the second input. 2. The ratio is computed as margin debt divided by the quantity (M2 multiplied by 1000), then multiplied by 100. The factor of 1000 reconciles units, because the default margin debt series is reported in millions of dollars and M2 in billions. The factor of 100 expresses the result as a percent. When either series is na, or when M2 is zero, the ratio is na. 3. One ratio observation is appended to a persistent array on each new calendar month, detected with a change in the monthly time value. Computing the statistics from this array rather than from chart bars keeps them correct on any chart resolution, because forward filled monthly values on a lower timeframe do not inflate the sample. 4. On each new month the band statistics are recomputed. The window is the entire array in full sample mode, or the trailing number of months given by the lookback input in rolling mode. The mean is the arithmetic average over the window. The standard deviation is the sample deviation, computed as the square root of the summed squared deviations from the mean divided by the window length minus one, and is na until at least two observations exist. 5. The upper and lower band lines are the mean plus and minus the sigma multiplier times the standard deviation. █ HOW TO USE The script is built for the monthly timeframe. The underlying data is monthly for M2 and quarterly for the margin debt proxy, and the statistics are accumulated per calendar month, so 1M is the resolution at which the display matches the data cadence. On an intraday chart the script draws a warning label and the band should not be read at that resolution. Visual elements: ​• The blue line is the margin debt to M2 ratio in percent. ​• The shaded band spans the mean plus and minus the chosen sigma multiple. ​• The gray midline is the mean, when enabled. ​• The label at the last bar prints the current ratio to two decimals. Readings above the upper band indicate leverage that is high relative to the money supply. Readings below the lower band indicate depressed leverage, typically following a deleveraging episode. This is a slow moving macro context series, not a timing trigger. An alert condition fires when the ratio reaches or exceeds the upper band. █ SETTINGS ​• Margin debt series : the symbol used as the numerator. Default FRED:BOGZ1FL663067003Q. ​• M2 money stock : the symbol used as the denominator. Default FRED:M2SL. ​• Band mode : selects Rolling (point-in-time), which uses a trailing window, or Full sample (lookahead), which uses the entire history. Default Rolling (point-in-time). ​• Rolling lookback (months) : the trailing window length used in rolling mode. Default 180, minimum 12. ​• Sigma multiplier : the number of standard deviations for the band width. Default 1.0, minimum 0.25, step 0.25. ​• Show mean midline : toggles the mean line. Default on. ​• Show current value label : toggles the last bar value label. Default on. █ WHAT MAKES IT ORIGINAL The script normalizes margin debt by M2 and presents the result in a dedicated pane with an explicit standard deviation band, rather than overlaying a rate of change or a z score of the raw series on price. Two design choices distinguish the implementation. First, the band can be computed either as a trailing point-in-time window or as a fixed full sample band, and the full sample option is labeled as containing lookahead, so the distinction is explicit rather than hidden in the output. Second, the band statistics are accumulated from one observation per calendar month held in an array, which makes the mean and standard deviation independent of the chart timeframe and avoids the understated deviation that results when forward filled monthly values are sampled on a lower timeframe. █ NOTES / LIMITATIONS ​• Symbol resolution : both inputs ignore invalid symbols. If a symbol does not resolve or returns na, or if M2 is zero, the ratio is na and neither the line nor the band renders. No runtime error is raised. ​• Unit assumption : the ratio applies a fixed factor of 1000 to reconcile a numerator in millions against a denominator in billions. Replacing the default symbols with series in other units breaks the percent scaling. ​• Data cadence : the default margin debt proxy is quarterly and M2 is monthly, so the ratio holds the most recent quarterly margin debt value across the intervening months. ​• Provenance : TradingView does not carry the FINRA monthly margin debt statistic as a native symbol. The default numerator is the Federal Reserve Z.1 series for margin accounts at brokers and dealers, a close substitute that differs in level and cadence from the FINRA figure. ​• Lookahead : only the Full sample band mode uses future observations in its statistics and is therefore not point-in-time. Rolling mode does not. The request.security calls use the default non lookahead behavior. ​• Timeframe : the logic is intended for 1M. On intraday charts a warning label is drawn and the band should not be read. ​• History dependence : the band requires accumulated monthly observations to populate. Early in available history, or on symbols with short history, the standard deviation is na until at least two monthly observations exist and stabilizes only after the lookback window fills. █ THANKS Chart concept surfaced by the Stacked Insights YouTube channel. Margin debt data originates with FINRA and the Federal Reserve. M2 originates with the Board of Governors of the Federal Reserve System.
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của BY_Tse
Single Candle Footprint v2 - EngineSingle Candle Footprint Delta Pro Single Candle Footprint Delta Pro is an order flow inspired indicator designed to visualize intrabar buying and selling pressure directly on each candle. Unlike traditional volume indicators that only show total volume, this script breaks each candle into multiple price levels and estimates the distribution of aggressive buying and selling activity using lower timeframe data. Features • Bid / Ask Footprint Visualization Displays a footprint-style ladder beside each candle: Left side: estimated selling volume (Bid) Right side: estimated buying volume (Ask) Each row represents a price level inside the candle range This allows traders to analyze how volume is distributed at different prices. • Delta Calculation The script calculates: Delta = Ask Volume - Bid Volume Positive delta indicates stronger buying pressure, while negative delta indicates stronger selling pressure. Delta helps identify: Aggressive buyers Aggressive sellers Momentum strength Potential exhaustion • Volume Point of Control (POC) Highlights the price level where the highest amount of volume occurred inside the candle. POC can act as: A short-term equilibrium level A reaction zone A potential retest area • Imbalance Detection Detects abnormal volume differences between buyers and sellers. Example: Ask: 3000 Bid: 500 The strong ratio suggests buyer imbalance. This helps identify areas where one side is dominating the auction. • Stacked Imbalance Identifies multiple consecutive price levels with strong imbalance. A stacked imbalance may indicate: Strong directional participation Institutional activity Aggressive order flow continuation • Absorption Detection Highlights situations where price movement and delta disagree. Examples: Bullish absorption: Price moves down Delta remains positive Meaning: Sellers are aggressive, but buyers absorb their selling pressure. Bearish absorption: Price moves up Delta turns negative Meaning: Buyers are aggressive, but sellers absorb the demand. • Unfinished Auction (UA) Detects extreme price levels where one side dominates without sufficient opposing volume. This can indicate an incomplete auction process and possible future price revisit. How It Works The indicator uses lower timeframe candles to estimate intrabar order flow: Lower timeframe bullish candles → estimated buying volume Lower timeframe bearish candles → estimated selling volume Because TradingView does not provide true exchange Bid/Ask volume data, this is an approximation of footprint behavior. For true order flow data, platforms with exchange-level market data may provide more precise Bid/Ask footprints. Recommended Use Combine with: Volume Profile VWAP Market Structure Liquidity zones Support / Resistance Best used to analyze: Absorption Breakout confirmation Failed breakouts Liquidity reactions Entry timing Note: This indicator is designed as an order flow visualization tool, not a standalone trading system. It should be interpreted together with price action and market context.
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của phailamsaonana
PI Band# PI Band PI ATR Compression Breakout is a volatility expansion and breakout detection tool built around a custom PI-powered energy model. Unlike traditional squeeze indicators that rely solely on price volatility, this script combines **ATR (volatility)**, **OBV momentum (volume flow)** and a **PI-based energy calculation** to identify compression phases before potential directional breakouts. --- ## How The Energy Engine Works The core of the indicator is the proprietary PI ATR OBV Energy Model. The calculation starts by measuring: * ATR volatility * OBV rate of change * PI-scaled volatility area ATR is transformed into a circular energy representation using: PI × ATR² This value is then combined with the square root of OBV momentum, creating an energy stream that reflects both volatility expansion and volume participation. The resulting energy is normalized and smoothed to produce a dynamic market pressure score ranging between 0 and 100. --- ## PI Power The normalized energy drives a variable called **PI Power**. Higher energy levels increase PI Power. Lower energy levels reduce PI Power. Instead of using a fixed ATR channel, the indicator dynamically adjusts channel width according to the current market energy state. This allows the bands to expand during strong directional moves and contract during low-energy environments. --- ## Compression Detection The script continuously compares the active PI ATR value against its historical average. When PI ATR falls significantly below its own average, a compression state is detected. Compression represents: * Reduced volatility * Contracting market activity * Energy accumulation * Potential breakout preparation Compression zones are highlighted in purple to make them easy to identify. --- ## Dynamic PI ATR Channel The indicator builds a volatility channel around a Center EMA. Components: * Center EMA * Dynamic PI ATR Upper Band * Dynamic PI ATR Lower Band Because channel width is driven by PI Power, the structure automatically adapts to changing market conditions. This creates a responsive framework that behaves differently from static volatility bands. --- ## Breakout Logic A breakout is only considered valid when price escapes a previously compressed structure. ### Long Break A LONG BREAK is generated when: * Previous bar was in compression * Price closes above the upper PI ATR band * Price remains above the center trend line ### Short Break A SHORT BREAK is generated when: * Previous bar was in compression * Price closes below the lower PI ATR band * Price remains below the center trend line This approach attempts to focus on expansion moves that emerge directly from volatility contraction. --- ## Release Signal The indicator also identifies compression releases. A release occurs when: * Compression ends * PI ATR begins expanding again These events are marked with purple release markers and can be used as early warnings that market conditions are changing. --- ## Visual Features ✔ Dynamic PI ATR volatility channel ✔ Compression highlighting ✔ Long and Short breakout signals ✔ Release markers ✔ Adaptive bar coloring ✔ Real-time information panel ✔ Alert conditions for breakout and release events --- ## Information Panel The panel displays: * Current Energy Value * PI Power * Active PI ATR * Historical PI ATR Average * Current Market State Possible states: * COMPRESS * BULL * BEAR * NORMAL * LONG BREAK * SHORT BREAK --- ## Intended Use PI ATR Compression Breakout is designed for traders who want to monitor: * Volatility contractions * Energy accumulation phases * Expansion breakouts * Trend continuation opportunities The indicator is not intended to predict future price movement. Instead, it aims to visualize when market energy shifts from compression into expansion and to highlight potential breakout environments.
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của onderarslantas107
Full Trendline + SMC System [Golden_WolfAI]Full Trendline + SMC System This indicator is built for traders who want to see the market structure clearly, without manually marking every swing, trendline, liquidity zone and imbalance. Full Trendline + SMC System combines classic trendline logic with Smart Money Concepts, helping you read the chart with more confidence and structure. It highlights key market events such as BOS, CHOCH, liquidity sweeps, equal highs/lows, order blocks, fair value gaps and trendline breaks directly on the chart. The goal of this tool is simple: reduce noise and show where the real battle between buyers and sellers may be happening. Main features: • Automatic trendlines based on swing highs and swing lows • Bullish and bearish trendline break detection • BOS and CHOCH market structure labels • Buy-side and sell-side liquidity sweep detection • Equal highs and equal lows detection • Bullish and bearish order block zones • Fair Value Gap zones with optional auto-removal after fill • 50% equilibrium level for premium/discount context • Optional EMA trend filter • BUY and SELL signal labels • Built-in alerts for signals, BOS, CHOCH, trendline breaks, sweeps and FVGs This indicator is not designed to replace your trading plan. It is designed to give you a structured view of the market, so you can make cleaner decisions, avoid random entries and understand where price may be reacting from. Use it to identify structure, liquidity, imbalance and possible continuation or reversal areas. Recommended use: 1. Start from higher timeframes to define market direction. 2. Watch BOS and CHOCH to understand structure shifts. 3. Use liquidity sweeps to detect possible traps. 4. Use order blocks and FVGs as reaction zones. 5. Use BUY/SELL signals only as confirmation, not as blind entries. No indicator can predict the market with certainty. Always use proper risk management and test the tool on your own market, timeframe and trading style before making decisions.
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của Golden_WolfAI
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