Probability

Forward Move Profile [AlgoNorth]Forward Move Profile 🔶 Where does price usually end up 30 bars from now? Forward Move Profile answers that from the chart's own history. It takes every past bar (up to 20,000 of them), measures where price closed 30 bars later in units of the 14-period ATR, and stacks those outcomes into a 3D profile beside the last candle. Around it sit a path fan with 20%, 50% and 80% bands, and four ghost profiles spaced 30 bars apart. It also runs a race: from every past bar, it checks whether price reach

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由AlgoNorth提供

Streak Reality Check - was that losing run actually unusual?Most people abandon a working strategy during a losing run rather than because of anything in the numbers. The run feels like new information. Usually it is not, and roughly how long a run you should expect is calculable before it happens. For n trades at a win rate w, the expected longest run of losses is about: log(n × w) / log(1 / (1 − w)) That is the standard result for the longest run of failures in n Bernoulli trials. It has one property worth sitting with: n is inside it. More trades me

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由ThistleCode提供

Streak statistics After four red bars, what actually happens? Your chart already knows. Description Counts every run of consecutive up closes and consecutive down closes on the loaded chart and reports, for each exact streak length, how often that streak extended by one more bar. The instrument's own base rate of up and down closes is shown alongside, so every continuation frequency can be read against what an ordinary bar does rather than against an imagined 50%. How it calculates Direction is close against

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由QuantitativeQ提供

Level survival tracker Everyone trades PDH. Almost nobody knows their own numbers on it. Description Tracks six session reference levels every day: prior day high, prior day low, overnight high, overnight low, opening range high, opening range low. For each, over a rolling window of sessions, it reports the probability the level gets tested, the probability it breaks given a test, how failure probability changes with repeated tests, and the median rejection distance and time from first touch to break. How it calcul

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由QuantitativeQ提供

Smart Entry Zones [StrixEDGE]█ OVERVIEW StrixEDGE Smart Entry Zones is a multi-layered trend-following indicator that generates clearly defined trade setups with automatic Entry, Take Profit (TP 1–3), and Stop Loss (SL) levels — all plotted directly on the chart with exact prices and percentage targets. The indicator is built on three independent analytical layers that work together to assess both timing and conviction: • Supertrend — determines trend direction and triggers trade levels on each confirmed flip • Fi

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由StrixEDGE提供

Order Block (OB) Statistics: Real Win Rate vs Random Levels On real price data, a 54% win rate can be worse than random, and a 46% win rate can be better. Whether a level "works" depends on the number it is compared with. That comparison number is called the baseline, and for levels on a chart it is almost never exactly 50%. An order-block arrow is therefore not evidence of an edge. The practical question is simple: does price behave differently after touching an order block than after touching a similar level with no order-block event behind it? This

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由algolego提供

Pattern Echo - Market Outcome Forecaster OVERVIEW EchoEdge is a historical-analog research indicator that compares the current confirmed market environment with similar conditions previously observed on the same symbol and timeframe. Rather than producing a conventional buy or sell signal, the indicator asks: “What happened after this symbol previously displayed comparable technical conditions?” It identifies independent historical matches, studies their subsequent price behavior, and summarizes those outcomes in an on-chart dashbo

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由PeytonMalz提供

Precedent [ThrowMaster]=============================================================== WHAT IT IS =============================================================== Precedent does not predict. It measures. Every time a defined market event confirms on your chart, Precedent records what price actually did over the following N bars. Once enough comparable records have accumulated, it displays the empirical distribution of those recorded outcomes: how far price travelled, how often it reached a given distance, and how man

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由ThrowMaster提供

Universal Trend Continuation Probability TradingView publication description Universal Trend Continuation Probability This open-source indicator estimates whether the chart's **current structural direction state** is likely to remain active after a completed bar. It is a trend-survival model, not a price-target or profit-probability model. The dashboard provides two coherent forecasts: - **Next 1 bar (P1):** probability that the active UP or DOWN state remains active on the next completed bar. - **Next 2 bars (P2):** probability

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由newton61提供

Volatility Cone & Analog Path Projection Volatility Cone & Analog Path Projection — Forward Price Envelope with Fractal Replay and Terminal Probability Distribution Overview Nearly every overlay on TradingView describes the past: where price has been, where volume traded, where structure broke. This tool points in the other direction. It builds a forward projection zone from the current bar using three independent layers — a realized-volatility cone, a replay of the historically most similar price fractals, and a terminal probability

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由AlgoForex_Officiel提供

EdgeStats Library "EdgeStats" A win rate on its own is not evidence. This library supplies the four things that turn one into a claim you can defend, none of which Pine ships: a base rate to subtract, a sample size corrected for overlapping forward windows, a confidence interval that behaves at small n, and a p-value that knows how many settings you tried before you picked this one. The argument in three lines, all from the same 60 wins out of 100: assess(60, 100, 0.5, horizon = 1)

脚本库

由harrell.jordon提供

Liquidity Draw Probability Map [ForexCracked]🔵 OVERVIEW Every liquidity tool draws the pools. This one measures whether price actually goes there. The Liquidity Draw Probability Map finds the resting liquidity on your chart, equal highs and lows, the prior day high and low, the prior week high and low, and the session extremes, then studies your chart's own history and prints what actually happened to pools like each one: how often price reached them, how long it took, and how often the touch rejected versus cut straight through. The ph

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由ForexCracked提供

Reversal Trap Probability Bands [BigBeluga]🔵 OVERVIEW The Reversal Trap Probability Bands is an advanced technical indicator created by BigBeluga to identify and trade fakeout traps around market extremes. Traditional envelope or band indicators often fail because traders blindly enter breakouts that quickly reverse into whipsaw losses. In order to provide a solution to this problem, this indicator combines volatility-based envelope channels with a dynamic probability tracking engine, measuring historical RSI buckets to calculate rea

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由BigBeluga提供

Support Resistance AI [PickMyTrade]Every support/resistance tool answers "where are the levels." None answer the question a trader actually has when price arrives at one: does THIS test look like the ones that held, or like the ones that broke? ―――――――――――――――――――――――――――――――――――――― 🔷 WHAT IT MEASURES 🔸 Confirmed swing pivots, clustered into zones and merged as new evidence accumulates 🔸 Eight properties of every ARRIVAL at a zone — approach speed, relative volume, prior test count, zone age, trend pressure, zone width, pivot

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由PickMyTrade_Official提供

Structural Language Model Overview Structural Language Model treats price action as a language. Each bar is tokenised into one of five structural symbols, and a low-order Markov model learns the grammar — the probability of what comes next given the recent context. Instead of "match the nearest historical shape" (fragile, overfit-prone k-NN), it estimates P(next token | last k tokens): a nonparametric conditional-move model that proves or disproves itself, live, on your symbol. It is a research/forecast read, not a sign

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由Market_Logic_India提供

Event Probability Engine [Quantum Algo]Event Probability Engine ==================================================== 🔶 OVERVIEW Event Probability Engine is a statistical probability indicator that answers one question at the close of every bar: based on the measurable conditions active right now, what is the historical probability that price closes higher one, three, and five days from today? Instead of subjective pattern reading, the script builds and maintains a live rolling database of forward returns conditioned on eighteen o

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由Quantum-Algo提供

Naked POC Magnetism Fill Probability & Median Wait Naked POC Magnetism — Fill Probability & Median Wait What it is A naked POC is the highest-volume price of a past session that price has not revisited since. Traders treat them as magnets — but "it usually gets filled" is folklore until it's measured. This tool measures it. Every historical naked level on your chart becomes a data point (how many sessions it survived before being touched, or whether it never was), and a survival model (discrete-hazard life table) turns that history into, for e

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由Market_Logic_India提供

Smart Ichimoku | GainzAlgo Overview Most Ichimoku indicators give you the same signal everyone else gets, a raw cloud cross with no filter, no context, and no target. This indicator rethinks the system from the ground up by combining a smoothed Ichimoku cloud with an inline logistic regression classifier that scores every cloud break in real time, then projects statistically-derived price targets the moment a confirmed signal fires. The result is a cleaner, higher conviction version of one of the most respected trend

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由GainzAlgo提供

Streaming ML Probability Triple-Barrier, Conformal & Calibrated Streaming-ML Probability — Triple-Barrier, Conformal & Calibrated What it is A self-training probability model that estimates P(up-barrier resolves before down-barrier) and — crucially — reports its own calibration. The differentiator is not the classifier; it is the labelling and the honesty layer wrapped around it. The pane shows a probability, an honest uncertainty band, a plain-language verdict, and a reliability diagram that tells you whether to believe any of it. Why these components be

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由Market_Logic_India提供

Options Probabilistic Bounds [InferredSignals]█ OVERVIEW Options Probabilistic Bounds (OPB) draws a forward price corridor on the daily chart — an upper and a lower band projected over a horizon you choose (1 to 20 trading days) at a confidence level you choose (default 95%). In plain words: given how this stock has actually been moving, where could the CLOSING price realistically land over the next few days? The corridor is calibrated so that, at each horizon, roughly your chosen percentage of closes finish inside it. It is built for o

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由InferredSignals提供

Self-Validating Elliott Wave Engine SELF-VALIDATING ELLIOTT WAVE ENGINE A probabilistic Elliott Wave framework that does three things most wave tools do not: it weighs SEVERAL competing counts at once instead of asserting one, it CALIBRATES its own confidence against what actually happened on the instrument you are viewing, and it tells you honestly when no count is trustworthy. It is decision-support and context - not a signal generator, and never a claim of certainty. WHY THESE PARTS BELONG TOGETHER (one engine, not a bundle)

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由Market_Logic_India提供

Self Calibrating Probability Channel SELF-CALIBRATING PROBABILITY CHANNEL A forecast channel whose width is set by conformal prediction, tuned by a parameter-free online calibrator, and proven on your own chart. You pick a coverage level - say 90% - and the indicator shows you, live, the percentage it has actually achieved over recent bars, on every timeframe. Most bands assert a width; this one measures whether the width was right and corrects itself until it is, with nothing to tune. WHAT IT IS Bollinger Bands, Keltner Channe

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由Market_Logic_India提供

Gap Fill Probability for SPY SPX XSP Gap Fill Probability Viewer - open gaps with an adaptive fill probability Gap Fill Probability Viewer automatically finds price gaps on your chart and draws each one as a colored zone - no more drawing rectangles by hand. It then tells you how likely each open gap is to "fill," and exactly how far price has to travel to close it. What it shows Gap zones - every gap-up and gap-down, drawn as a box that extends to the current bar. Fill probability (P) - an estimate of how likely the gap

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由MasterOfDesaster提供

AI Trend Detector | Adaptive Signals [NeuraLib Machine Learning]🔷 AI Trend Detector | Adaptive Signals AI Trend Detector is a NeuraLib-powered Machine Learning indicator. It trains a compact supervised neural model on confirmed historical movement, then uses the current market state to estimate Bear , Neutral , and Bull pressure. The model output is converted into a clean visual system: Trend Oscillator : A 0-100 pressure gauge. Lower values suggest bullish pressure or oversold conditions. Higher values suggest bearish pressure or overbought cond

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由Alien_Algorithms提供