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NQ Hourly Retracements - 12y Stats with LevelsHour Stats with Levels - TradingView Indicator Description IMPORTANT: NQ FUTURES ONLY This indicator is specifically designed for and calibrated to NQ (Nasdaq-100 E-mini) futures only. The statistical data is derived exclusively from 13 years of NQ price action (2013-2025). Do not use this indicator on any other asset, ticker, or market as the statistics will not be applicable and may lead to incorrect trading decisions. Overview "Hour Stats with Levels" is a statistical analysis indicator that provides real-time probability-based insights into hourly price behavior patterns. The indicator combines historical pattern recognition with live price action to help traders anticipate potential sweep and reversal scenarios within each trading hour. Originality and Core Concept This indicator is based on a comprehensive statistical analysis of 12y years of 1-minute NQ futures data, examining a specific price pattern: when an hourly candle opens inside the previous hour's range. Unlike generic support/resistance indicators, this tool provides hour-specific, context-aware probabilities based on 30,000+ historical occurrences of this pattern. The originality lies in three key areas: Pattern-Specific Statistics: Rather than applying generic technical analysis, the indicator only activates when the current hour opens within the previous hour's range, providing relevant statistics for this exact scenario. Context-Aware Probabilities: Statistics are differentiated based on whether the current hour opened above or below the previous hour's open, recognizing that bullish and bearish opening contexts produce different behavioral patterns. Comprehensive Retracement Tracking: The indicator tracks four independent retracement levels after a sweep occurs, showing the probability of price returning to: the swept level itself (90+% probability), the 50% level, the current hour's open, and the opposite extreme. How It Works The Core Pattern The indicator monitors a specific price structure: Setup Condition: The current hourly candle opens inside (between) the previous hour's high and low Sweep Event: Price then breaks above the previous high (high sweep) or below the previous low (low sweep) Retracement Analysis: After a sweep, the indicator tracks whether price retraces to key levels Statistical Foundation The underlying analysis processed 1-minute bar data from 2013-2025, identifying every instance where an hourly candle opened inside the previous hour's range. For each occurrence, the system tracked: Whether the high, low, or both were swept during that hour The distance of the sweep measured as a percentage of the previous hour's range Whether price retraced to four key levels: the swept level, the 50% point, the current open, and the opposite extreme These measurements were aggregated for all 24 hours of the trading day, with separate statistics for bullish contexts (opening above previous open) and bearish contexts (opening below previous open), creating 48 unique statistical profiles. Sweep Distance Percentiles The "reversal levels" are drawn based on historical sweep distance distributions: 25th Percentile: 75% of historical sweeps were larger than this distance. This represents a conservative reversal zone where smaller, contained sweeps typically reverse. Median (50th Percentile): The midpoint of all historical sweep distances. Half of all sweeps reversed before reaching this level, half extended beyond it. 75th Percentile: Only 25% of sweeps extended beyond this distance. This represents an extended sweep zone where price has historically shown exhaustion. For example, if the previous hour's range was 20 points and the median high sweep distance is 40% of range, the median reversal level would be placed 8 points above the previous high. How to Use the Indicator Sweeps were calculated using 1m data - as such, it's recommended to use the indicator on a 1min chart Visual Components Hour Delimiter (Gray Vertical Line) Marks the start of each new hour Helps identify when new statistics become active Sweep Markers Green "H" label: High sweep has occurred this hour Red "L" label: Low sweep has occurred this hour Markers appear on the exact bar where the sweep happened Target Levels (Blue Lines) Prev Open: Previous hour's opening price Prev High: Previous hour's highest price (sweep target) Prev Low: Previous hour's lowest price (sweep target) Prev 50%: Midpoint of previous hour's range Current Open: Current hour's opening price (key retracement target) Reversal Levels (Purple Dashed Lines) Positioned beyond the previous high/low based on historical sweep percentiles Three levels above previous high (for high sweeps) Three levels below previous low (for low sweeps) These represent statistically-derived zones where sweeps typically exhaust The Statistics Table The table dynamically updates each hour and displays different statistics based on whether the current hour opened above or below the previous hour's open. Status Row Shows current state: waiting for sweep, or which sweep(s) have occurred If waiting, indicates which sweep is more probable based on historical data SWEEP PROBABILITIES Section High Sweep: Historical probability (%) that price will sweep the previous high this hour Low Sweep: Historical probability (%) that price will sweep the previous low this hour Both Sweeps: Historical probability (%) that price will sweep both levels this hour These probabilities are derived from counting how many times each pattern occurred in similar historical contexts. For example, "High Sweep: 73.18%" means that in 73.18% of historical occurrences where the hour opened in this same context (same hour of day, same position relative to previous open), price swept the previous high before the hour closed. AFTER HIGH SWEEP → Section These statistics activate only after a high sweep has occurred. They show the probability of price retracing to various levels: → Prev High: Probability that price returns to (or below) the level it just swept. This is typically 90%+ because sweeps often act as "false breakouts" or liquidity grabs before reversal. → 50% Level: Probability that price retraces at least halfway back into the previous hour's range. This represents a moderate retracement. → Current Open: Probability that price retraces all the way back to where the current hour opened. This indicates a complete reversal of the sweep move. → Prev Low: Probability that price retraces entirely through the previous range to touch the opposite extreme. This represents a full reversal pattern. AFTER LOW SWEEP → Section Mirror of the above, but for low sweeps: → Prev Low: Retracement to the swept low level (90%+ probability) → 50% Level: Retracement to middle of range → Current Open: Full retracement to current hour's open → Prev High: Complete reversal to opposite extreme Important Note on Retracement Statistics: These percentages are tracked independently. A 90% probability of returning to the swept level doesn't mean there's only a 10% chance of deeper retracement. Price can (and often does) retrace through multiple levels sequentially. The percentages show how many times price reached at least that level, not where it stopped. Trading Applications Anticipating Sweeps When an hour opens inside the previous range, check the probabilities. If "High Sweep: 70%" and "Low Sweep: 30%", you know there's a 70% historical likelihood of an upside sweep occurring this hour. This doesn't guarantee it will happen, but provides statistical context for potential setups. Reversal Trading The most reliable pattern in the data is the 90%+ retracement probability to swept levels. When a sweep occurs, traders can anticipate a retracement back to at least the swept level in the vast majority of cases. The reversal level percentiles help identify where sweeps may exhaust. Position Management The retracement probabilities help manage existing positions. For example, if you're long and a high sweep occurs, you know there's a 90%+ chance of at least some retracement to the swept level, which might inform profit-taking or stop-loss decisions. Confluence with Current Open The "Current Open" retracement statistics (typically 60-70%) highlight the magnetic quality of the hour's opening price. After a sweep, price frequently returns to test this level. Customization Options The indicator offers extensive visual customization: Toggle on/off: hour delimiters, sweep markers, target levels, reversal levels, statistics table Customize colors, line widths, and styles for all visual elements Adjust label sizes and table position Show/hide individual target levels and reversal percentiles Limitations and Considerations Pattern-Specific: The indicator only provides statistics when the current hour opens inside the previous hour's range. If the hour opens outside this range (gaps up or down), the statistics are not applicable. Historical Probabilities: The percentages represent historical frequencies, not predictions. A 70% probability means it happened 70% of the time historically, not that it will definitely happen 7 out of 10 times going forward. NQ-Specific Calibration: All statistics are derived from NQ futures data. Market behavior, volatility, and patterns differ across assets. Hour-Specific Behavior: Different hours show dramatically different statistics. For example, the 9 AM EST hour (market open) shows much higher sweep probabilities (80%+) than the 5 PM EST hour (30-50%) due to differing liquidity and volatility conditions. No Guarantee of Execution: While a 90% retracement probability is high, it means 10% of the time, price did NOT retrace. Always use proper risk management. Technical Notes The indicator uses hourly timeframe data via request.security() to determine previous hour values Sweep detection occurs in real-time on the chart's timeframe Statistics are hardcoded from the comprehensive backtested analysis (not calculated on-the-fly) The indicator stores static values at the start of each hour to ensure consistency as the hour progresses All percentage values are rounded to one decimal place for clarity This indicator provides a statistically-grounded framework for understanding hourly price behavior in NQ futures. By combining real-time pattern detection with comprehensive historical analysis, it offers traders probabilistic insights to inform decision-making process within the specific context of each trading hour.
Chỉ báo Pine Script®
của lucymatos
3
Session Opening Bar RangeSession Opening Bar Range (OBR) - Advanced Opening Range Indicator with Statistical Analysis Overview The Session First Bar Range (FBR) indicator is a comprehensive tool that captures and projects key levels based on the first bar of a user-defined trading session. Unlike traditional daily opening range indicators, this script allows traders to focus on specific session windows (New York RTH, London, Asia, etc.) and analyze price behavior relative to the initial momentum established in that session's opening bar. What makes this indicator unique is its combination of three distinct projection methodologies: statistical analysis based on historical range data, Fibonacci extensions, and fixed-point rotation levels commonly used by institutional traders. To our knowledge, this is the only opening range indicator that incorporates statistical standard deviation levels calculated from historical first bar ranges, making it both a technical and probabilistic tool. Core Concept The opening range concept is based on the principle that the initial price action of a trading session often sets the tone for the remainder of that session. Professional traders have long observed that: The first bar's high and low act as key reference points Price often respects or breaks these levels with significance Expansion beyond the opening range tends to occur in measurable increments This indicator takes these observations and enhances them with: Historical probability analysis - "Based on the last 60 sessions, price typically extends X standard deviations beyond the opening range" Proportional projections - Fibonacci-based extensions showing where measured moves typically target Fixed-point rotations - Institutional rotation levels (e.g., 65 points for NQ, 15 points for ES) How It Works Session Detection & First Bar Capture The indicator uses Pine Script's time() function with timezone support to precisely detect when a trading session begins. When the first bar of the selected timeframe occurs within the session window, the script captures: High (H): The high of the first bar Low (L): The low of the first bar Mid (M): The midpoint (hl2) of the first bar Critical Detail: These levels are fixed from the first bar only - they do not update as the session progresses. This differs from many "opening range" indicators that use a time period (e.g., first 30 minutes). Here, you select the bar timeframe (default 5-minute), and only that single first bar's range is captured. Statistical Level Calculation The indicator maintains a rolling array of the last N session's first bar ranges (default: 60 sessions). For each new session, it calculates: Average Range: Mean of historical first bar ranges Standard Deviation: Volatility of those ranges Projection Levels: High/Low ± (Average Range + Std Dev × Multiplier) This provides probability-based levels. For example, a +2σ level suggests: "Historically, price extending this far beyond the opening range is a 2-standard-deviation event (approximately 95th percentile)." Fibonacci Extensions Using the first bar range as the base unit (100%), the indicator projects Fibonacci levels: 100% extension: One full range above the high / below the low 1.618x extension: (Default) Golden ratio projection 2.618x, 3.618x extensions: Additional Fibonacci levels Calculation: Range = H - L, then Target = H + (Range × Multiplier) for upside projections. OR Rotation Levels These are fixed-point increments from the first bar's high and low. Unlike percentage-based methods, rotations use absolute point values: NQ traders often use 65-point increments ES traders often use 15-point increments Gold/bonds use different values The indicator draws 5 levels above the high (R+1 through R+5) and 5 below the low (R-1 through R-5), each separated by your specified point increment. Features: Session Options Pre-configured Sessions: New York RTH (9:30am - 4:00pm) New York Futures (8:00am - 5:00pm) London (2:00am - 8:00am) Asia (7:00pm - 2:00am) Midnight to 5pm ZB/Gold/Silver OR (8:20am - 4:00pm) CL OR (9:00am - 4:00pm) Custom Session: Define your own start/end times in HHMM format Timezone Support: All sessions respect the selected timezone (default: America/New_York) Customizable Timeframe Select any timeframe for the first bar (1min, 5min, 15min, etc.) Default: 5-minute bars Important: This is the timeframe for the first bar capture, independent of your chart's timeframe Display Options Historical Ranges: Show/hide past session ranges (with configurable limit to manage performance) Line Styles: Choose between Solid, Dashed, or Dotted for range lines and midline Label Position: Left or Right side of range Show Prices: Optionally display actual price values on labels Custom Colors: Fully customizable colors for all components Statistical Levels Lookback Period: Number of historical sessions to analyze (default: 60) Two Multiplier Levels: Default 1σ and 2σ, fully adjustable Separate styling: Different line styles (dashed vs dotted) for each sigma level Optional Labels: Show/hide sigma notation labels Fibonacci Extensions Four Extension Levels: 100%, 1.618x, 2.618x, 3.618x (all customizable) Bidirectional: Projections both above and below the opening range Optional Labels: Toggle percentage/multiplier labels OR Rotation Levels Configurable Increment: Set the point value for your instrument Five Levels Each Direction: R±1 through R±5 Dynamic Labels: Show both rotation number and point value (e.g., "R+1 (65)") Three Line Styles: Solid, Dashed, or Dotted How to Use Setup Add the indicator to your chart Select your trading session from the dropdown Set the timeframe for first bar capture (typically 5-15 minutes) Configure which projection methods you want to see (Statistical, Fibonacci, and/or Rotations) For Day Traders Scenario: Trading NQ during New York RTH Session: Select "New York RTH (9:30am - 4:00pm)" Timeframe: 5-minute (captures 9:30-9:35 bar) Enable: OR Rotations with 65-point increments Strategy: Watch for acceptance/rejection at rotation levels Use R+1/R-1 as initial profit targets R+2/R-2 as extended targets Statistical levels show when price is in "outlier" territory and rotation levels Performance Notes The indicator limits objects to stay within TradingView's constraints (500 max) If you enable all features, reduce "Maximum Historical Ranges" to prevent slowdown Typical configuration: 10-20 historical ranges with all features enabled works well Settings Guide Session Settings Session: Choose from pre-configured sessions or "Custom" Custom Session Start/End: HHMM format (e.g., "0930" for 9:30am) Timezone: Critical for accurate session detection Opening Bar Format Timeframe: The bar size for capturing the first bar's range Show Midline: Toggle the mid-point line Show Historical Ranges: Display previous sessions (recommended: leave ON) Maximum Historical Ranges: Limit history to manage performance (1-500) Range Style / MidLine Style: Solid, Dashed, or Dotted Position: Label placement (Left or Right) Show Prices: Include actual price values on labels Statistical Levels Lookback Periods: How many historical first bar ranges to analyze (default: 60) Std Dev Multiplier 1/2: The sigma levels to project (default: 1.0 and 2.0) All visual settings (colors, line width, label size) Fibonacci Extensions Show Fib Extensions: Enable/disable Fibonacci projections Measured Move Extensions 1-4: The multipliers (default: 1.618, 2.618, 3.618, 4.618) Visual customization options OR Rotations Rotation Increment: The point value for your instrument NQ: 65 points ES: 15 points Adjust for other instruments based on their typical rotation behavior Show Rotation Labels: Display level numbers and point values Visual customization options Use Cases Gap Trading: When price gaps away from previous day's close, the first bar range shows the initial gap acceptance/rejection zone Breakout Confirmation: Price breaking and holding above the first bar high with volume suggests trend day potential. Rotation levels provide measured targets. Reversal Identification: Price reaching +2σ statistical level = rare event, potential exhaustion Range Bound Days: Price oscillating between first bar high/low suggests range-bound session; trade reversals at extremes Institutional Level Awareness: OR Rotations at 65 points (NQ) align with levels professional traders watch Technical Notes The indicator uses request.security() with lookahead=barmerge.lookahead_on to ensure the first bar levels are captured correctly All drawing objects (lines, labels, fills) are managed in arrays with automatic cleanup to prevent memory issues The statistical calculations use array.avg() and array.stdev() for accurate probability estimates Rotation levels use individual line variables (like Fibonacci) rather than loops for reliability Summary This indicator is original in its combination of three distinct methodologies for projecting levels from a session's opening range: Statistical Analysis - No other opening range indicator (to our knowledge) calculates standard deviation projections from historical first bar ranges Time-Based Session Flexibility - Most OR indicators use only daily or fixed time periods; this allows any custom session window Multiple Projection Methods - Traders can use statistical, Fibonacci, AND rotation levels together or separately
Chỉ báo Pine Script®
của lucymatos
Universal Moving Average🙏🏻 UMA (Universal Moving Average) represents the most natural and prolly ‘the’ final general universal entity for calculating rolling typical value for any type of time-series. Simply via different weighting schemes applied together, it encodes: Location of each datapoint in corresponding fields (price, time, volume) Informational relevance of each datapoint via using windowing functions that are fundamental in nature and go beyond DSP inventions & approximations Innovation in state space (in our case = volatility) The real beauty of this development: being simply a weighting scheme that can be applied to anything: be it weighted median , weighted quantile regression, or weighted KDE , or a simple weighted mean (like in this script). As long as a method accepts weights, you can harness the power of this entity. It means that final algorithmic complexity will match your initial tool. As a moving ‘average’ it beats ALMA, KAMA, MAMA, VIDYA and all others because it is a simple and general entity, and all it does is encoding ‘all’ available information. I think that post might anger a lot of people, because lotta things will be realized as legacy and many paywalls gonna be ignored, specially for the followers of DSP cult, the ones who yet don’t understand that aggregated tick data is not a signal omg, it’s a completely different type of time series where your methods simply don’t fit even closely. I am also sorry to inform y’all, that spectral analysis is much closer to state-space methods in spirit than to DSP. But in fact DSP is cool and I love it, well for actual signals xD ... Weights explained & how to use them: as I already said, the whole thing is based on combining different set of weights, and you can turn them on/off in script settings. Btw I've set em up defaults so you can use the thing on price data out of the box right away. Price, Time, Volume weights: encode location of every datapoint in Price & TIme & Volume field Howtouse: u have to disable one weight that corresponds to the field you apply UMA to. E.g if you apply UMA to prices, you turn off price weighting And turn on time and volume weighting. Or if you apply UMA to volume delta, you turn off volume weighting And turn on price and time weighting. Higher prices are more important, this asymmetry is confirmed and even proved by the fact that prices can’t be negative (don’t even mention that incorrect rollover on CL contract in 2k20...). Signal weights: encode actuality/importance/relevance of datapoints. Howtouse: in DSP terms, it provides smoothing, but also compensates for the lag it introduces. This smoothness is useful if you use slope reversals for signal generation aka watching peaks and valleys in a moving average shape. It's also better to perturb smoothed outputs with this , this way you inject high freq content back, But in controlled way! Signal = information. The fundamental universal entity behind so-called “smoothing” in DSP has nothing to do with signals and goes eons beyond DSP. This is simply about measuring the relevance of data in time. First, new datapoints need some time to be “embedded” into the timeline, you can think of it as time proof, kinda stuff needs time to be proved, accepted; while earliest datapoints lose relevance in time. Second, along with the first notion, at the same time there’s the counter notion that simply weights new data more, acting as a counterweight from the down-weighting of the latest datapoints introduced by the first notion. The first part can be represented as PDF of beta(2, 2) window (a set of weights in our case). It’s actually well known as the Welch window, that lives in between so called statistical and DSP worlds, emerges in multiple contexts. Mainstream DSP users tho mostly don’t use this one, they use primitive legacy windowing function, you can find all kinds on this wiki page. Now the second part, where DSP adepts usually stop, is to introduce the second compensating windowing function. Instead they try to reduce window size, or introduce other kinds of volatility weights, do some tricks, but it ain’t provides obviously. The natural step here is to simply use the integral of the initial window; if the initial window is beta(2, 2) then what we simply need is CDF of beta(2, 2), in fact the vertically inverted shape of it aka survival function . That’s it bros. Simply as that. When both of these are applied you have smth magical, your output becomes smooth and yet not lagging. No arbitrary windowing functions, tricks with data modification etc Why beta(2, 2)? It naturally arises in many contexts, it’s based on one of the most fundamental functions in the universe: x^2. It has finite support. I can talk more bout it on request, but I am absolutely sure this is it. ^^ impulse response of the resulting weighs together (green) compared with uniform weights aka boxcar (red). Made with this script . Weighing by state: encodes state-space innovation of each datapoint, basically magnitude of changes, strength of these changes, aka volatility. Howtouse: this makes your moving average volatility aware in proper math ways. The influence of datapoints will be stronger when changes are stronger. This is weighting by innovations, or weighting by volatility by using squared returns. Why squared returns? They encode state‑space innovations properly because the innovation of any continuous‑time semimartingale is about its quadratic variation, and quadratic variation is built from squared increments, not absolute increments. Adaptive length is not the right way to introduce adaptivity by volatility xD. When you weight datapoints by squared returns you’re already dynamically varying ‘effective’ data size, you don’t need anything else. ... It’s all good, progress happens, that’s how the Universe works, that's how Universal Moving Average works. Time to evolve. I might update other scripts with this complete weighting scheme, either by my own desire or your request. ... ∞
Chỉ báo Pine Script®
của gorx1
1
Body Close Continuity & failure Backtesting @MaxMaseratiThis indicator, is a highly advanced institutional-grade tool designed to track the "lifespan" of a trend based on Body Close (BC) sequences. Unlike basic indicators that just show direction, this script analyzes the structural integrity of a trend by monitoring how many candles continue the move before a "Touch" (retest) or a "Break" (failure) occurs. The Continuity & Failure Stats indicator tracks sequences of Bullish Body Closes (BuBC) and Bearish Body Closes (BeBC). It measures three critical phases: Building (pure momentum), Touching (price retesting the low/high of the sequence), and Resumption (price continuing the trend after a retest). It provides a statistical distribution of how long these "buildings" typically last before failing, allowing traders to know exactly when a trend is overextended. This comprehensive analysis blends the statistical breakdown of the Continuity & Failure Stats indicator to provide a deep understanding of the structural momentum for the S&P 500 E-mini (ES1!) on a 4-hour timeframe. 1. Extensive Table Breakdown A. Building Distribution (Left Table): The Fatigue Gauge This table acts as a histogram of momentum, tracking the "Building Count"—the number of consecutive candles closing in a trend without price returning to its origin. Count Column: Represents the streak length (e.g., 1, 2, or 3 candles). Touch Column: Shows how many times a streak was interrupted by a retest ("touch") but remained structurally intact. Break Column: Counts total structural failures where price closed beyond the sequence's anchor. Data Insight: For BuBC, 92 sequences reached Count 1, but only 28 remained by Count 4. This reveals a steep momentum decay after the 3rd candle, establishing a "Statistical Wall" where only 2 sequences in history reached a count of 9. B. MMM Summary Stats (Top Right): The Mathematical DNA This table provides the "Expected Value" and behavior of a trend over the lookback period. Avg Building (2.39 for BuBC): On average, a bullish move lasts ~2.4 candles of pure momentum before a retest or reversal occurs. Avg Touches (0.8): This low number indicates "clean" trends that rarely wobble back to retest levels multiple times before reaching a conclusion. Avg R Cycles (0.55): This suggests that once a bullish trend is interrupted, it only successfully resumes its momentum about half the time. Max R Count (1): Typically, once a trend is "touched," it only manages one more push before failing. C. Multi-Timeframe (MTF) Quick Stats (Bottom Right): Trend Weight This compares the 4H chart against other layers of the market to identify "global" alignment. Sample Comparison: There are 3,594 tracked BuBC sequences on the 4H compared to only 142 on the Weekly chart. Fractal Law: The Avg Building (2.4) is consistent across several timeframes, implying that the "Rule of Three" (momentum fading after 3 candles) is a fractal characteristic of this asset. 2. Table Comparison: Synthesizing the Data To trade effectively, you must compare Distribution (timing) against Summary Stats (averages): Continuity vs. Failure: The Summary Stats show an average building of 2.39. When checking the Distribution table at Count 2, the "Break" count (58) is already high relative to the "Total". This confirms that the risk of failure increases exponentially the moment you exceed the average. Momentum vs. Mean Reversion: Distribution tells you when a trend is "tired". If the 4H is at a "Building Count 4" (statistically overextended) while the Weekly chart is at "Building Count 1" (fresh momentum), you may choose to prioritize the higher timeframe's strength despite the local overextension. 3. Strategic Summary & Application This indicator proves that market momentum follows a predictable "Building" cycle rather than an infinite streak. The "Rule of Three" for ES1! 4H: The Entry Zone (Momentum Start): The most profitable entries occur at Building Count 1. Statistically, you have a high probability of reaching a count of 2 or 3. The Exit Zone (Momentum Limit): Take profits or tighten stops at Count 3. The data shows the sample size drops by nearly 50% between Count 3 and Count 4. The "Touch" Rule (Retest Reliability): If price returns to the sequence low (a "Touch"), do not expect a massive continuation. The Max R Count of 1 tells us that resumptions are usually short-lived. Danger Zone: Entering at Building Count 4 or higher is statistically dangerous, as the "Break" probability significantly outweighs the "Touch" or continuation probability.
Chỉ báo Pine Script®
của MaxMaserati
NeuralFlow Forecast Levels - User InputsThis is a companion indicator that plots AI-adaptive market equilibrium and expansion mapping levels directly on the SPY chart. NeuralFlow Forecast Levels are generated through a Artificial Intelligence framework trained to identify: Where price is statistically inclined to re-balance Where expansion zones historically exhaust rather than extend This is structure mapping, not prediction. ...................................................................................... What the Bands Represent? AI Equilibrium (white core) Primary weekly balance zone where price is most likely to mean-revert. Predictive Rails (aqua / purple) High-confidence corridor of institutional flow containment. Outer Zones (green / red) Expansion limits where continuation historically begins to decay. Extreme Zones (top / bottom) Rare deviation envelope where auction completion is statistically favored. .The engine updates only when underlying structure changes — not when candles fluctuate intraday. ................................................................................................................. Usage Context These levels are contextual reference zones, not entry signals. They are designed to answer: Where does price matter? Where does continuation weaken? Where does balance statistically reassert itself? Risk Disclaimer Educational and analytical use only. Not financial advice.
Chỉ báo Pine Script®
của NeuralMarkets
Dynamic EMA Trend Table [Customizable]Overview The Dynamic EMA Trend Table is a comprehensive dashboard designed to give traders an instant overview of the market trend across five distinct Exponential Moving Averages (EMAs). Instead of cluttering your chart with multiple lines, this script organizes the data into a clean, customizable table, allowing you to assess trend alignment at a glance. How It Works This indicator calculates five user-defined EMAs (defaulting to the popular 5, 20, 50, 100, and 200 periods). It then compares the Current Price against each EMA value to determine the immediate trend status: Bullish State: When the current price is above the specific EMA, the table cell turns Green (customizable). Bearish State: When the current price is below the specific EMA, the table cell turns Red (customizable). This logic allows swing traders and scalpers to instantly see if the asset is in a strong uptrend (all cells Green), a strong downtrend (all cells Red), or a consolidation phase (mixed colors). Key Features Fully Customizable Periods: Change the length of all 5 EMAs to fit your specific strategy (e.g., Fibonacci numbers or standard Swing Trading settings). Dynamic UI: Position the table anywhere on the screen (Top/Bottom/Left/Right) and adjust the size to fit your screen resolution. Visual Cleanliness: You can choose to show the table only, or toggle the "Show EMAs on Chart" option to plot the actual lines on your chart. Smart Coloring: The lines on the chart (if enabled) inherit the same color logic as the table—turning Green when price is above them and Red when price is below. Settings & Configuration Price Source: Select Close, High, Low, etc. (Default is Close). Table Position & Size: Customize where the dashboard appears. EMA Lengths: Set your 5 preferred lookback periods. Color Theme: Fully adjustable colors for Bullish, Bearish, Neutral, and Background elements to match your chart theme (Dark/Light mode friendly). Use Case Example Trend Confirmation: A trader looking for a "Buy" entry might wait for the short-term EMAs (5 and 20) and the medium-term EMA (50) to all turn Green in the table before entering. Support/Resistance Watch: By quickly glancing at the values in the table, you can see exactly where the 200 EMA sits without needing to scroll back on your chart to find the line.
Chỉ báo Pine Script®
của ungalisetup
NeuralFlow Forecast Levels | SPY WeeklyThis is a companion script that plots AI-adaptive market equilibrium & expansion mapping levels for SPY on chart. NeuralFlow Forecast levels are generated though a Artificial Intelligence framework trained to identify where price is statistically inclined to re-balance and where expansion zones historically exhaust rather than extend. What the Bands Represent Band Layer Meaning AI Equilibrium (white core) Primary weekly balance zone where price is most likely to mean-revert Predictive Rails (aqua / purple) High-confidence corridor of institutional flow containment Outer Zones (green / red) Expansion limits where continuation historically decays Extreme Zones (top/bottom) Rare deviation envelope where auction completion is statistically favored NeuralFlow operates Artificial Intelligence models trained specifically to map statistical re-balancing behavior, not trader predictions or sentiment. No discretionary drawing. No correlations. No lagging overlays. This engine updates only when underlying structure changes — not when candles fluctuate intraday. Risk: Educational & analytical use only. Not financial advice
Chỉ báo Pine Script®
của NeuralMarkets
NeuralFlow Forecast Levels| NIFTY WeeklyThis is a companion script that plots AI-adaptive market equilibrium & expansion mapping levels on chart. NeuralFlow Forecast levels are generated though a Artificial Intelligence framework trained to identify where price is statistically inclined to re-balance and where expansion zones historically exhaust rather than extend. What the Bands Represent Band Layer Meaning AI Equilibrium (white core) Primary weekly balance zone where price is most likely to mean-revert Predictive Rails (aqua / purple) High-confidence corridor of institutional flow containment Outer Zones (green / red) Expansion limits where continuation historically decays Extreme Zones (top/bottom) Rare deviation envelope where auction completion is statistically favored NeuralFlow operates Artificial Intelligence models trained specifically to map statistical re-balancing behavior, not trader predictions or sentiment. No discretionary drawing. No correlations. No lagging overlays. This engine updates only when underlying structure changes — not when candles fluctuate intraday. Risk: Educational & analytical use only. Not financial advice
Chỉ báo Pine Script®
của NeuralMarkets
Bullish/Bearish Movement SumThis indicator calculates and displays the cumulative sum of bullish and bearish price movements over a specified period. Features: - Green line: Cumulative sum of all bullish movements - Red line: Cumulative sum of all bearish movements (absolute value) - Blue area: Net difference (bullish - bearish) - Information table showing current values and bull/bear ratio Settings: - Calculation Period: Choose rolling window size (default: 100 bars) or 0 for cumulative from start - Calculation Mode: Choose between "Points" (absolute price changes) or "Percentage" (% changes) Use Cases: - Identify market directional strength - Compare bullish vs bearish pressure - Spot divergences between price and directional momentum - Ratio > 1 indicates more bullish than bearish movement Developed with assistance from Claude (Anthropic)
Chỉ báo Pine Script®
của Philupup
Statistical Deviation per AssetINDICATOR: STATISTICAL DEVIATION PER ASSET (SDPA) 1. Overview The Statistical Deviation per Asset (SDPA) is a quantitative analysis tool designed to measure the strength and exhaustion of price movements. Unlike standard oscillators (like RSI ), the SDPA calculates the actual percentage deviation from the most recent pivot point (High or Low) and compares it against historical performance averages specific to each asset. --- 2. Core Logic & Calculation The script operates on a Mean Reversion principle. It assumes that every asset (Gold, Bitcoin, Ethereum, etc.) has a unique "volatility signature" depending on the timeframe. * Dynamic Pivot Detection : The indicator identifies recent Swing Highs and Swing Lows using an adaptive lookback period. * Real-Time Return Calculation : Once a pivot is confirmed, the script calculates the real-time percentage gain (from a Low) or loss (from a High). * Zero-Indexed Histogram : This return is plotted as an oscillator centered around a Zero Line , representing the current trend's progress since the last reversal. --- 3. Adaptive Intelligence (Multi-Asset & Multi-TF) The SDPA is pre-loaded with a statistical database. It automatically adjusts its sensitivity and thresholds based on: 1. The Selected Asset : Whether trading XAUUSD , Bitcoin , or Solana , the deviation thresholds adapt to the specific volatility of that instrument. 2. The Timeframe (TF) : The calculation period ( period ) and performance targets ( hausse_perf / baisse_perf ) change dynamically. For example, a 1-minute scalping setup uses a longer lookback (200) compared to a Daily swing setup (10). --- 4. Visual Anatomy The interface is designed for instant "at-a-glance" interpretation: * The Histogram : * Green : Price is trending up since the last Swing Low . * Red : Price is trending down since the last Swing High . * Threshold Lines (The Statistical Averages) : * Thick Line (60% Opacity) : Represents the Average Historical Deviation . When the histogram hits this line, the move is considered "statistically mature." * Thin Line (70% Opacity) : Represents the Strong Deviation Zone (1.5x the average), indicating extreme momentum or potential exhaustion. * Background Highlighting : The chart background colors automatically when the price exceeds historical averages, signaling a High-Probability Reversal Zone . --- 5. How to Trade with SDPA * Trend Maturity : If the histogram exceeds the Bullish Average (Green line), the current move has reached its typical historical limit. Traders should look for take-profit opportunities or wait for a reversal. * Impulse Strength : A rapid move from the Zero Line toward the thresholds confirms strong institutional interest. * Mean Reversion : When the histogram reaches the Strong Zone (1.5x), the price is "overextended" statistically, offering a high reward-to-risk ratio for counter-trend setups. --- 6. Technical Parameters * Asset Choice : Dropdown menu to select the specific asset. * Colors : Customizable Bullish and Bearish colors to match any UI theme. * Precision : Set to 4 decimal places to ensure accuracy across all asset types.
Chỉ báo Pine Script®
của AlchimistOfCrypto
MA Cross + Trend Stats (Probabilistic)Short description (one-liner) A MA-regime framework with historical regime stats + forward performance + optional trend/noise filters for trending context. ________________________________________ Full description (TradingView-ready) Overview This indicator turns a classic Moving Average Cross into a regime-based trend dashboard. Instead of treating a cross as a standalone “buy/sell” event, it measures what historically happened after similar regime shifts on the current symbol and timeframe, and displays the results in a compact table. It supports: • EMA or SMA • Custom fast/slow lengths (including .5 lengths via floor/ceil averaging) • Optional trend quality filters for trending decisions: o Slope filter (Slow MA slope) o Market noise filter using Efficiency Ratio (ER) in real time ________________________________________ What the table shows (how to read it) The table has two rows: Bull (Fast > Slow) and Bear (Slow > Fast). Metrics are computed on completed regimes (historical segments that already ended). N Number of completed regimes measured. More samples generally means more stable estimates. μ Δ% / Med Δ% Average and median regime return from regime start to regime end. Median helps reduce the impact of outliers. ⏱ Bars Average regime duration (in bars). Useful to calibrate realistic holding expectations for trending. ⬆ MFE% / ⬇ MAE% • MFE (Maximum Favorable Excursion): max move in favor during the regime • MAE (Maximum Adverse Excursion): max move against during the regime These are context metrics for typical run-up and typical heat. ER μ | Hit Trend-quality proxy: • ER μ: average Efficiency Ratio during regimes (0–1, higher = more directional / less noisy) • Hit: % of regimes with ER above the historical threshold you set Forward performance (+H μ|Hit) For two user-defined horizons (e.g., +10 / +20 bars): • μ: average forward return after the cross • Hit: probability (%) that the forward return was positive This is designed to provide probabilistic context, not certainty. ________________________________________ “Trending” decision filters (optional) These filters apply to signals/alerts/markers, not to the raw regime statistics: 1. Slope filter (Slow MA): Only allow Bull signals if the Slow MA slope is positive (and Bear signals if negative). 2. Market noise filter (ER realtime): Only allow signals when current ER exceeds your chosen threshold (helps avoid choppy conditions). ________________________________________ Suggested usage (educational) • Treat Bull/Bear as a regime label (state), not a prediction. • Use Forward Hit% as an estimate of historical frequency, not a guarantee. • If ER realtime is below threshold, consider it a noisier environment (higher whipsaw risk). • Combine with your own risk rules and confirmation (structure, volatility, volume, HTF context, etc.). ________________________________________ Notes • Results depend on symbol, timeframe, and loaded history. • Statistics are historical summaries and can change as more data becomes available. • This tool is intended for research and decision support, not as standalone trade advice. ________________________________________ Disclaimer This script is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Trading involves risk. You are responsible for your own decisions and risk management.
Chỉ báo Pine Script®
của Yesid_Correa_Cano
Flux Portfolio Visualizer | GL0WDASHFlux Portfolio Visualizer | GL0WDASH Flux Portfolio Visualizer lets you simulate and track the performance of a multi-asset portfolio directly on the chart. Choose up to 10 assets, assign custom allocation weights, and set a start date to generate a real-time equity curve based on historical price data. The script performs one-time proportional allocation at the start date and then tracks equity forward without rebalancing, giving you a realistic view of how your portfolio would have evolved over time. It also includes a maximum equity drawdown tracker and an optional level line for reference. Features: • Allocate to up to 10 assets with custom weight percentages • Specify initial capital and simulation start date • Real-time equity curve based on confirmed bars • Maximum equity drawdown tracking + table display • Optional horizontal reference line • Designed for long-horizon allocation experiments Great for: • Passive portfolio stress-testing • Comparing allocation strategies • Evaluating long-term crypto/asset mixes • Visualizing risk via max drawdowns This tool does not execute trades or rebalance—its purpose is pure visualization, giving traders clarity about how portfolios behave under different allocation assumptions. If you expand or modify the indicator, please credit the original author.
Chỉ báo Pine Script®
của GL0WDASH
Open Interest Bubbles [BackQuant]Open Interest Bubbles A visual OI positioning overlay that aggregates futures open interest across major venues, normalizes it into a consistent “signal strength” scale, then plots extreme events as bubbles, labels, and optional horizontal levels directly on price. What this is for Open interest is one of the cleanest ways to track when positioning is building, unwinding, or aggressively shifting. The problem is raw OI is noisy, exchange-specific, and hard to compare across time. This script solves that by: - Aggregating OI across multiple exchanges. - Letting you choose what “OI signal” you care about (raw, delta, percent versions). - Normalizing the signal so “big events” are easy to spot. - Plotting those events as bubbles and levels at the exact price they occurred. You end up with a clean, fast visual map of where large positioning changes occurred, and where those events may later matter as reaction points. ──────────────────────────────────────────────────────────── Plotting types (what you can display) Bubbles This mode plots OI events as size-bucketed circles on the chart. Bigger bubbles represent stronger normalized events. You can tune: - Bubble sizing by bucket (Tiny → Huge). - Heatmap vs solid color styling. - Signed vs unsigned coloring (positive/negative separation or magnitude-only). Best use: - Spotting “where something changed” at a glance. - Identifying clusters of positioning events around key price zones. - Seeing whether the market is repeatedly building/closing positions at similar levels. Levels Levels mode draws a horizontal line at the anchor price when an extreme OI event triggers. These act like “positioning memory” levels: - They do not claim to be support/resistance by themselves. - They highlight prices where the derivatives market clearly did something meaningful. Best use: - Marking potential reaction zones. - Combining with your price action tools (structure, OBs, FVGs) to confirm whether an OI level aligns with a technical level. - Building a “map” of where leverage likely entered or exited. Modes available in the script: - Off - Bubbles - Bubbles + Labels - Labels Only - Levels + Labels ──────────────────────────────────────────────────────────── Aggregated Open Interest source (multi-exchange) This indicator builds a single aggregated OI series by requesting OI data from multiple exchanges and summing it. You can toggle exchanges on/off: - Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit You can also choose OI units: - COIN , OI in base units (native sizing) - USD , converted for a dollar-value representation Important note: Not every symbol has OI data on every venue. If the script cannot build an aggregated series for the symbol, it will throw an error rather than quietly plotting garbage. ──────────────────────────────────────────────────────────── OI Source, what the bubbles are measuring You control what “signal” is normalized and plotted: - Delta , change in aggregated OI from the prior bar. Use when you want to highlight bursts of new positioning or sudden unwind events. - Raw OI , the aggregated open interest level itself. Use when you want to highlight absolute positioning build-up periods. - Delta % , percent change in OI. Use when you want moves normalized to the current OI regime, useful across different market eras. - Raw OI % , percent change form of the raw series. Use when you want relative changes rather than absolute size. Practical guidance: - Delta modes are best for “event detection”. - Raw modes are better for “regime context” and whether positioning is structurally rising or fading. ──────────────────────────────────────────────────────────── Normalization (the key to making it readable) Because OI varies massively across assets and time, the script includes multiple normalization modes to convert your chosen OI source into a comparable “strength” value. Options: - ZScore , deviation from a rolling mean in standard deviation units. - StdNorm , scaled by rolling standard deviation. - AbsZScore , absolute value version for magnitude-only mapping. - AbsStdNorm , absolute value version for magnitude-only mapping. - None , plots raw values (advanced users only, often too noisy visually). Why this matters: Normalization makes a “1.5” or “3.0” threshold mean something across different assets and timeframes, instead of being stuck to raw OI units. ──────────────────────────────────────────────────────────── Threshold system (when bubbles/levels trigger) The plot is driven by two user thresholds: - Base Threshold Controls where “meaningful” events start. Raising this reduces noise and focuses on larger deviations. - Extreme Threshold Controls what qualifies as a top-tier event. Extreme events are what you typically want to convert into labels and levels. You also control side filtering: - Both , show positive and negative events. - Positive Only , show only increases (or positive signal side depending on source). - Negative Only , show only decreases (or negative signal side). In practice: - Use Base Threshold to tune chart cleanliness. - Use Extreme Threshold to mark only the “big stuff” that tends to matter later. ──────────────────────────────────────────────────────────── Anchor Source (where the bubble/level is placed) The indicator places bubbles, labels, and levels at a price anchor you choose: - HL2, Close, Open, High, Low, VWAP This is important because “where you pin the event” changes how it reads: - Close is clean and consistent for backtesting and candle-close logic. - High/Low can better represent where the fight occurred intrabar. - VWAP can be useful for “fair price” anchoring in active markets. ──────────────────────────────────────────────────────────── Style system (theme, palette, signed logic) This script is built to look good and stay readable on busy charts. Themes - BackQuant, Classic, Ice, Fire, Mono, Custom Palette Mode - Solid , one consistent color - Heatmap , intensity increases with magnitude - Single Color Adaptive , adapts to chart background for clarity Side Coloring - Signed , positive and negative events can use different ramps - Unsigned , magnitude-only coloring Negative theme handling: - Auto (mirrors your chosen theme), - Invert (flips the ramp), - Custom (fully user-defined negative palette). What this gives you: - You can run a clean “mono” look for professional charts. - Or a high-contrast heatmap for fast scanning. - Or fully custom branding colors for BackQuant-style presentation. ──────────────────────────────────────────────────────────── Labels (what’s inside the label) When labels are enabled, the script can display: - OI , the aggregated OI value - OI + Norm , OI plus normalized strength - Norm Only , just the normalized strength - Src + Norm , the selected source value (Delta, Raw, %) plus normalized strength You can also control: - Left/Center/Right label alignment - Number formatting style (Raw, Compact, Volume format) Best practice: - Use “Src + Norm” when you want both the raw event size and its rarity. - Use “Norm Only” when you want a clean, minimal chart. ──────────────────────────────────────────────────────────── Levels and object limits (performance and cleanliness) Because this script draws objects, it includes a hard cleanup system: - You set Max Levels / Labels to control chart clutter. - The script deletes older lines/labels when the limit is exceeded. This is critical if you trade lower timeframes, where OI events can trigger frequently. ──────────────────────────────────────────────────────────── How to interpret the signals What a large bubble usually means: - A statistically large positioning change relative to recent history. - This can represent fresh leverage entering, forced liquidations, or aggressive de-risking, depending on direction and context. How to use levels: - Treat them as “attention levels”, not automatic entries. - Combine them with structure and liquidity tools: - If price revisits an OI level and shows rejection, it often confirms that level mattered. - If price slices through with no reaction, it often indicates the OI event was transitional, not defended. Common setups: - Clustered extreme bubbles near a breakout zone, then retest later. - Extreme negative event at capitulation low, followed by structure flip. - Extreme positive build into resistance, then unwind and mean reversion. Also, please check out @NoveltyTrade for the OI Aggregation logic & pulling the data source! Here is the original script:
Chỉ báo Pine Script®
của BackQuant
Statistcal Daily Profile & Ranges# Statistical Daily Profile & Ranges - TradingView Publication Guide ## Overview The **Statistical Daily Profile & Ranges** indicator is a comprehensive tool designed to analyze intraday session behavior and daily range characteristics. It combines Average Daily Range (ADR) projection levels with detailed session-by-session statistics and probability-based trading insights derived from historical price action patterns. ## What This Indicator Does This indicator provides traders with three core analytical components: 1. **ADR Projection Levels** - Dynamic support/resistance levels based on historical daily ranges 2. **Session Range Analysis** - Visual boxes and statistical breakdowns for four key trading sessions 3. **Dynamic Probability Display** - Real-time probability statistics based on overnight session relationships ## How It Works ### Average Daily Range (ADR) Calculation The indicator calculates the average daily range over a user-defined lookback period (default: 10 days) and projects this range from each day's opening price. This creates two key levels: - **ADR High**: Opening price + average daily range - **ADR Low**: Opening price - average daily range - **ADR Median**: The opening price (middle of the projected range) These levels are recalculated at the start of each trading day and extend forward, providing dynamic support and resistance zones based on recent volatility characteristics. ### Session Tracking & Statistics The indicator monitors four distinct trading sessions (times in Eastern Time): 1. **Asia Session** (8:00 PM - 2:00 AM) 2. **London Session** (2:00 AM - 8:00 AM) 3. **NY Open** (8:00 AM - 9:00 AM) 4. **NY Initial Balance** (9:30 AM - 10:30 AM) For each session, the indicator: - Draws a colored box showing the session's high-to-low range - Tracks the opening price, high, and low - Stores historical data for statistical analysis - Calculates average ranges by day of week (Monday through Friday) The session statistics are displayed in a customizable table showing average point ranges for each session across different weekdays, helping traders identify which sessions and days typically produce the most movement. ### Dynamic Probability System The indicator analyzes the relationship between the Asia and London sessions to determine the current market setup. After the London session closes, it automatically detects one of four possible conditions: **1. London Engulfs Asia** - London session breaks both above Asia's high AND below Asia's low - This indicates strong momentum during the European session - Most common occurrence pattern **2. Asia Engulfs London** - Asia session range completely contains the London session range - Indicates consolidation during London hours - Relatively rare pattern (occurs approximately 5.36% of the time) **3. London Partially Engulfs Upwards** - London breaks above Asia's high but stays above Asia's low - Suggests bullish momentum continuation from Asia into London **4. London Partially Engulfs Downwards** - London breaks below Asia's low but stays below Asia's high - Suggests bearish momentum continuation from Asia into London Once a condition is detected, the indicator displays a probability table showing historically observed outcomes for that specific setup, including: - Probability of NY session taking out key levels (Asia high/low, London high/low) - Probability of NY session engulfing the entire overnight range - Directional bias for NY Cash session (9:30 AM - 4:00 PM) ## How to Use This Indicator ### Initial Setup 1. Add the indicator to your chart (works on any intraday timeframe below Daily) 2. Adjust the **ADR Days** setting (default: 10) to control the lookback period for range calculation 3. Adjust the **Session Lookback Days** setting (default: 50) to determine how much historical data feeds the statistics tables ### Reading the ADR Levels - Use the **ADR High** and **ADR Low** lines as potential profit targets or areas where price may encounter resistance - The **ADR Median** line represents the opening price and can act as a pivot point for intraday directional bias - If price reaches the ADR High early in the session, it suggests strong bullish momentum; conversely for ADR Low - These levels adapt daily based on recent volatility, making them more responsive than static levels ### Interpreting Session Boxes - **Session boxes** visually highlight when each trading session is active and its price range - Larger boxes indicate higher volatility during that session - Compare current session ranges to the statistical averages shown in the table - Sessions that are unusually quiet or active relative to historical averages may signal compression or expansion ### Using the Session Statistics Table - The table shows average point ranges for each session broken down by weekday - Identify which sessions typically produce the most movement on specific days - For example, if London on Thursdays averages 40 points while Mondays average 25 points, you can adjust position sizing or expectations accordingly - The **Total** column shows the overall average across all days - Sample sizes (shown in brackets if enabled) indicate data reliability ### Trading with the Probability Table The probability table updates dynamically after the London session closes and shows statistically probable outcomes based on 12 years of NQ futures data. **Important Limitations:** - **These probabilities are derived from NQ (Nasdaq E-mini futures) data only** - **Do NOT apply these probability statistics to other instruments** (ES, stocks, forex, etc.) - The probabilities represent historical frequencies, not guarantees - Always combine with your own analysis, risk management, and market context **How to Apply the Probabilities:** When **London Engulfs Asia**: - Watch for NY session to take out London's extremes (72.33% probability for high, 71.12% for low) - Slight bullish bias in NY Cash session (54.80% vs 45.20%) - Lower probability of complete overnight engulfment (44.13%) When **Asia Engulfs London** (rare - 5.36% occurrence): - Higher probability NY takes Asia's high (75.86%) - Moderately high probability NY takes Asia's low (65.52%) - Slight increase in bullish bias (58.42% vs 41.58%) - Recognize this as an unusual setup When **London Partially Engulfs Upwards**: - Very high probability NY takes London high (81.51%) - Strong probability NY takes London low (64.45%) - Moderate probability NY takes Asian low (53.16%) - Slight bullish bias (55.52%) When **London Partially Engulfs Downwards**: - Very high probability NY takes London low (75.29%) - Strong probability NY takes London high (68.80%) - Moderate probability NY takes Asian high (56.44%) - Slight bullish bias maintained (52.99%) ### Practical Trading Applications **Scenario 1: Range Projection** If the ADR is 500 points and the market opens at 25,000: - ADR High: 25,500 (potential resistance/target) - ADR Low: 24,500 (potential support/target) - Monitor how price interacts with these levels throughout the day **Scenario 2: Session-Based Trading** Using the statistics table, you notice London on Wednesdays averages 35 points. During a Wednesday London session: - If London has already moved 30 points, the session may be exhausting its typical range - If London has only moved 15 points with an hour remaining, there may be expansion potential - Adjust stop losses and targets based on typical session behavior **Scenario 3: Probability-Based Setup** It's 8:05 AM ET and the indicator shows "London Partially Engulfs Upwards": - You now know there's an 81.51% historical probability NY will take out London's high - There's a 53.16% probability NY will reach down to Asia's low - The NY Cash session has a slight bullish bias (55.52%) - Consider this alongside your technical analysis for directional bias and level targeting ## Customization Options ### Visual Settings - **Line Width**: Adjust thickness of ADR levels - **ADR Color/Style**: Customize appearance of ADR projection lines (solid, dashed, dotted) - **Median Line**: Toggle visibility and customize appearance separately - **Session Box Colors**: Customize each session's box color independently - **Show Session Boxes**: Toggle session box visibility on/off ### Label Settings - **ADR Labels**: Show/hide labels for ADR High and ADR Low, adjust size - **Median Label**: Separate control for median line label - **Session Labels**: Show/hide session name labels, adjust size - **Label Colors**: Customize text colors for all labels ### Table Settings - **Session Stats Table**: Position (9 locations available), size (Tiny to Huge), toggle on/off - **Sample Sizes**: Show/hide the number of historical samples used for each calculation - **Probabilities Table**: Separate position and size controls, toggle on/off ### Session Times - Each session's time range can be customized to fit different markets or preferences - All times are in Eastern Time (America/New_York timezone) ## Technical Notes ### Data Requirements - The indicator requires sufficient historical data based on your lookback settings - Minimum recommended: 50+ days of intraday data for reliable statistics - Works on any timeframe below Daily (1-minute, 5-minute, 15-minute, etc.) ### Calculation Methodology - **ADR Calculation**: Simple average of absolute daily high-low ranges - **Session Statistics**: Mean average of ranges for each session filtered by day of week - **Condition Detection**: Boolean logic comparing session high/low relationships - All calculations update in real-time as new bars form ### Probability Data Source The probability statistics displayed in the dynamic table are derived from: - **Dataset**: 12 years of NQ (Nasdaq E-mini futures) historical data - **Methodology**: Frequency analysis of outcomes following specific setup conditions - **Time Period**: Multiple market cycles including various volatility regimes **Critical Warning**: These probabilities are specific to NQ and reflect that instrument's behavior patterns. Market microstructure, participant behavior, and volatility characteristics differ significantly across instruments. Do not apply these NQ-derived probabilities to other markets (ES, RTY, YM, individual stocks, forex, commodities, etc.). ## Best Practices 1. **Combine with Other Analysis**: Use this indicator as one component of a complete trading methodology, not a standalone system 2. **Respect Risk Management**: Probabilities are not certainties; always use proper position sizing and stop losses 3. **Context Matters**: High-impact news events, holiday trading, and extreme volatility can invalidate typical patterns 4. **Verify Statistics**: Monitor your own results and compare to the displayed probabilities 5. **Adapt Session Times**: If trading instruments with different active hours, adjust session times accordingly 6. **Regular Calibration**: Periodically review if the session averages and probabilities remain relevant to current market conditions ## Understanding Originality This indicator is original in its approach to combining three analytical frameworks into a single tool: 1. **Dynamic ADR Projection**: Unlike static pivot points, these levels adapt daily based on recent volatility 2. **Session-Specific Statistics**: Goes beyond simple volume profiles by quantifying average ranges for specific time windows across weekdays 3. **Conditional Probability Display**: Automatically detects overnight session relationships and displays relevant probability data rather than showing all scenarios simultaneously The conditional logic system that determines which probability set to display is a key differentiator—traders only see the statistics relevant to the current market setup, reducing information overload and improving decision-making clarity. ## Summary The **Statistical Daily Profile & Ranges** indicator provides traders with a comprehensive framework for understanding daily range potential, session-specific behavior patterns, and probability-based setup analysis. By combining ADR projection levels with detailed session statistics and dynamic probability displays, traders gain multiple perspectives on potential price movement within the trading day. The indicator is most effective when used to: - Set realistic profit targets based on average daily range - Identify which sessions typically produce movement on specific weekdays - Understand probability-weighted outcomes for different overnight setup conditions (NQ only) - Visualize session ranges and compare them to historical averages Remember that all statistical analysis reflects historical patterns, and market behavior can change. Always combine indicator signals with sound risk management, proper position sizing, and your own market analysis.
Chỉ báo Pine Script®
của lucymatos
4
Seasonality Table: % Move by Day x Month (Open vs Prev Close)Short description A compact seasonality heatmap that shows the average daily open vs previous session close move for each calendar day (1–31) across months (Jan–Dec). What it does This indicator builds a Day × Month table where each cell displays the historical average of: (Open/Close-1) -1 x 100 In other words: how the market typically “opened” relative to the prior day’s close, grouped by day of month and month. How to read it Rows = Day of month (1–31) Columns = Months (Jan–Dec) Cell value = average percentage move (signed format like +0.23% or -0.33%) Heatmap = stronger color intensity indicates larger absolute average moves Today highlight = the current calendar day cell is visually highlighted for fast context Key settings Reference timeframe (Daily): uses daily session data as the source of truth Decimals / Signed formatting: control numeric display Theme controls: fully customizable colors for positive/negative/neutral cells, headers, labels, and text Font sizes: independently adjust header/labels/values Heatmap scaling: set “max abs (%)” to match the volatility of the instrument Notes / limitations The indicator depends on the historical data available on TradingView for the selected symbol and timeframe. This is a statistical visualization tool. It does not predict future returns and does not generate trade signals. Disclaimer This script is for educational and informational purposes only and is not financial advice. Trading involves risk. Always do your own research and use proper risk management.
Chỉ báo Pine Script®
của Yesid_Correa_Cano
Markov: Transition Matrix [Daily Timeframe]Description This indicator computes a 3-state Markov chain from price action and visualizes the transition probabilities between daily states: • Up: daily % change > threshold • Down: daily % change < -threshold • Sideways: |daily % change| ≤ threshold From those states, it builds transition matrices: • Today → Tomorrow (1 day ahead) • Today → In 2 days • Today → In 3 days Each matrix cell shows: P(next state | current state) Rows are the current state (today), columns are the future state (tomorrow / +2 / +3). Each row sums to 100% (when there is sufficient sample size). ________________________________________ How to read it (trader workflow) 1. Identify the current regime (the most recent confirmed daily state). 2. Look at the row matching that regime: • The ★ marks the highest probability outcome for that row (most likely next state). • Heatmap intensity increases as probability increases. • Each row shows its own sample size (n=...) so you can judge statistical support. 3. Use Quick-read: • “Now” = current regime • “Best” = top conditional outcome + probability • “2nd” = second-best outcome + probability 4. Use Universe (N): • Shows the marginal distribution: how often days are Up/Down/Sideways across the whole dataset. ________________________________________ Settings Core logic • Sideways threshold: controls how strict “Sideways” is. Example: 0.001 = ±0.10% daily move is considered Sideways. Display • Toggle 1D / 2D / 3D matrices. • Highlight best probability per row (★). • Show n per row (row transition count). • Focus: current state row only to reduce noise and speed decision-making. • Quick-read row for the current regime. Theme (fully customizable) All colors can be customized: • Up / Down / Sideways base colors • Header background + header text • Values text • Quick-read neutral background This makes it suitable for both light and dark chart themes. ________________________________________ Notes / Limitations • The indicator is designed for daily sessions. It uses daily close-to-close returns to classify states and update the Markov chain once per day. • On very volatile assets, a very small threshold can make Sideways rare. If you want a more frequent Sideways regime, increase the threshold. • This is a statistical visualization tool, not a trading system. ________________________________________ Disclaimer (TradingView-friendly) This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk. Past probabilities do not guarantee future results. Use at your own discretion and always apply proper risk management.
Chỉ báo Pine Script®
của Yesid_Correa_Cano
NQ Lunch High Low First Sweep StrategyThis script identifies the FIRST liquidity sweep of the Lunch session high or low after the Lunch session has ended, based on ICT / Killzone concepts. Logic summary: • Tracks Lunch session High and Low (New York time) • After Lunch session closes, monitors the market on 5-minute timeframe • Triggers ONLY on the first sweep: – Price wicks beyond Lunch High and closes back below → SHORT signal – Price wicks beyond Lunch Low and closes back above → LONG signal • Generates an alert at the exact bar where entry is expected • Designed specifically for Nasdaq (NQ) futures • One trade per day – no overtrading Notes: • Intended for 5-minute charts only • Uses New York session timing • This script does NOT manage exits (TP/SL) – entry logic only • Best used as a confluence tool, not a standalone system Educational & discretionary use only.
Chiến lược Pine Script®
của yt_tr
HPDR Bands with projectionHPDR: Historical Price Delta Range What is it? The HPDR indicator measures how much an asset’s price typically changes over a specific timeframe. It looks at historical price movements ("deltas") and organizes them into percentiles. These are then plotted on your chart as a median line surrounded by statistical bands. This tool helps you understand an asset’s unique character and its typical price deviations. Because the median is in this context a statistically relative stable value(if you add 7 values to 1000 it doesn't change much), it allows for high-probability projections of the future median. For a clearer understanding of the indicator's logic, try setting the Range to 7 and the Offset to -7. The 50% percentile Band signifies that in 50% of all bars, the price remained within this statistical range.
Chỉ báo Pine Script®
của pepipo