指標和策略

TASC 2026.08 An Ag Selling Model █ OVERVIEW This strategy implements the "Ag Selling Model" as presented by Perry J. Kaufman in the August 2026 edition of the TASC Traders' Tips "Identifying The Best Price Levels For Selling Commodity Futures". The article describes a long-hold selling strategy for agricultural commodity futures based around the seasonal harvest timing of crops, mainly US grains traded on the CBOT and KCBOT, both which have been acquired by CME. █ CONCEPTS This model was originally presented in 1978 by

策略

由PineCodersTASC提供

Machine Learning Neural Network Engine Machine Learning Neural Network Engine turns complex Daily market behavior into three clear states: LONG, WATCH and CASH. Instead of relying on one fixed trend signal, the indicator combines an adaptive neural network, continuous model validation and an independent crisis detector. The result is a simple visual interface backed by a fully causal machine-learning process. HOW IT WORKS At its core is a compact 6-5-1 neural network trained directly on the chart. It analyzes six normalized featu

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由Julien_Exe提供

Intrabar Profile [Kioseff Trading]Hello Traders! 🔹 Intrabar Profile Intrabar Profile is a lower-timeframe profile tool designed to draw a volume profile or delta profile on each individual candle . Instead of only looking at where a candle opened, closed, wicked, or changed color, this indicator attempts to show: Where did volume actually trade inside the bar? It focuses on answering a deeper question: What happened inside the candle that normal candlesticks do not show? volume profile on every visible bar de

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由KioseffTrading提供

Kinetic Slippage Index (KSI)Overview The Kinetic Slippage Index (KSI) is an advanced volume-volatility oscillator designed to measure market efficiency—or the lack thereof. Inspired by order book microstructure and liquidity gaps, KSI calculates the "cost of price movement." It helps traders identify hidden institutional distribution, retail exhaustion, and high-probability false breakouts. Unlike standard momentum oscillators (RSI, Stochastic) that only track price speed, KSI analyzes how much raw volume was required

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由HPotter提供

Session Edge Profiler | Flux Charts GENERAL OVERVIEW: The Session Edge Profiler is a statistical dashboard indicator that profiles up to five configurable trading sessions (Asia, London, NY AM, NY Lunch, NY PM by default) across the available completed trading days loaded on the chart. The indicator records each session's range, volume, directional outcome, and smart money structure (Fair Value Gaps, swing breaks, higher highs, lower lows) on every completed day, then surfaces the resulting statistics in a configurable on-chart d

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由fluxchart提供

Supertrend Parameter Sensitivity 3D [LuxAlgo]The Supertrend Parameter Sensitivity 3D indicator is a powerful optimization tool that executes 100 simultaneous Supertrend backtests bar-by-bar to visualize how different ATR Lengths and Multipliers impact performance across various metrics. By projecting this data onto a 3D surface and a heatmap dashboard, it allows traders to identify "stable" parameter zones and avoid over-optimized "peaks" that may lead to curve-fitting. 🔶 USAGE This tool is designed to help traders find the most ro

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由LuxAlgo提供

ExprLib ExprLib is a library for parsing and evaluating string expressions. It allows scripts to expose configurable logic by letting users define custom conditions and calculations based on available data. █ KEY FEATURES • Rich expression support: • Built-in constants (e.g., `10`, `2.5`, `5e-2`, `true`, `false`, `na`) • Custom constants • Variables • Arithmetic operators: `+`, `-`, `*`, `/`, `%` • Comparison operators: `>`, `<`, `>=`, `<=`, `==`, `!=` • Logical operators:

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由A1trdX提供

Chart Patterns Screener [Trendoscope]🎲 Overview Chart Patterns Screener is an advanced Pine Script designed to automatically detect and display classical chart patterns on TradingView. It is a specialized, fine-tuned version of the popular Auto Chart Patterns indicator, optimized specifically for use with the Pine Screener. 🎲 How to Use This Script as Indicator Since most of the settings are inherited from Auto Chart Patterns, let us first discuss on how to use the indicator before dwelving into the settings. When you fir

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由Trendoscope提供

Machine Learning RSI | AI Classification & Ranking (Zeiierman)█ Overview The Machine Learning RSI | AI Classification & Ranking (Zeiierman) is an adaptive RSI intelligence system that combines momentum analysis, historical analog recognition, machine learning classification, confidence scoring, and dynamic trend management into a single framework. Rather than interpreting RSI solely through traditional overbought and oversold thresholds, the indicator examines how similar RSI environments have behaved historically and uses those observations to classi

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由Zeiierman提供

Polynomial/Linear Regression Volume Profile [BigBeluga]Polynomial/Linear Regression Volume Profile is a state-of-the-art charting framework that blends advanced statistical modeling with localized volume distribution analysis. By evolving past traditional, static horizontal volume profiles, this indicator dynamically curves the volume profile matrix around mathematical trend baselines, giving you a hyper-localized view of value zones, support, and resistance across the trend’s lifecycle. Equipped with a switchable Ordinary Least Squares (OLS) cal

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由BigBeluga提供

Whale Liquidity and Absorption Profile [AlgoAlpha]🟠 OVERVIEW The Whale Liquidity and Absorption Profile maps intrabar buying, selling, delta, and absorption activity into stacked horizontal profiles. It samples lower timeframe volume data inside each chart candle, then groups that activity into price bins to show where aggressive participation and absorption occurred across a configurable lookback range. The script separates strong and weak activity using a percentile-based strength filter. It also builds a delta heatmap, absorption profile,

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由AlgoAlpha提供

Fractional EMA Kalman Filter [D7]Fractional EMA Kalman Filter 1. Description Fractional EMA Kalman Filter is an experimental smoothing and state-estimation tool that combines a Kalman filter framework with a fractional EMA input. The objective is to create a filter that remains subdued during ranging conditions while retaining responsiveness when directional structure emerges. By integrating adaptive variance logic and residual-based state control, D7 aims to balance smoothness, reactivity, and structural awareness. 2

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由et20tradeview提供

Neural Weight Oscillator (Zeiierman)█ Overview The Neural Weight Oscillator (Zeiierman) is an adaptive multi-factor oscillator that combines structured decision-making with dynamic market learning. The script analyzes three core market behaviors: Trend, Mean Reversion, and Momentum. Instead of treating these components equally, the oscillator uses the Best-Worst Method (BWM) to determine which market behavior should have the greatest influence under current market conditions. An adaptive training layer then studies histori

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由Zeiierman提供

NeuraLib: A Native AI and Deep Learning Runtime NeuraLib is a tensor-based, auto-differentiating Machine Learning runtime built natively for Pine Script™. It brings real Deep Learning mechanisms that power modern Artificial Intelligence systems into TradingView. Instead of relying on fixed formulas, static regressions, or rigid structures, NeuraLib gives Pine developers a different tool: a compact neural runtime that can learn from the features you feed it, using the architecture you define. This means users are no longer limited to classi

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由Alien_Algorithms提供

Pine3D: A Native 3D Graphical Rendering Engine Pine3D is a full 3D rendering engine for TradingView, powered by Pine Script™ v6. Pine3D pushes forward the frontier of TradingView 3D rendering capabilities, providing a fully fledged graphical engine under an intuitive, chainable, object oriented API. Build meshes, transform them in world space, light them, cast shadows, project them through a perspective camera, and render the result directly on your chart, all without ever bothering about trigonometry synchronization or optimization. The

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由Alien_Algorithms提供

TASC 2026.05 The AutoTune Filter █ OVERVIEW This script implements the AutoTune Filter described by John F. Ehlers in the article "A Rolling Autocorrelation Function" from the May 2026 edition of the TASC Traders' Tips . The script analyzes rolling autocorrelation in filtered price data to calculate a band-pass filter that dynamically adjusts to apparent dominant cycles. █ CONCEPTS Autocorrelation function (ACF) Autocorrelation measures the correlation of a time series with a lagged version of itself. The autocor

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由PineCodersTASC提供

Smart Trader, Episode 06, Isotropic Trend Lines 🔷 WHAT IS ST-EP06 — ISOTROPIC TREND LINES? ST-EP06 is a multi-scale structural trend channel indicator built on a σ-normalized coordinate system. It is designed to solve one of the oldest unaddressed problems in technical analysis: trend angles that cannot be compared across instruments, timeframes, or volatility regimes. A trend line drawn on a chart appears to carry a measurable angle — yet that angle is an artifact of the display window, not a property of the market. Resize the chart

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由ata_sabanci提供

AI Predictive Flow (Zeiierman)█ Overview AI Predictive Flow (Zeiierman) is a pattern-based oscillator that estimates future price direction by comparing the current market state to similar historical conditions. Instead of relying on traditional indicators like momentum or moving averages alone, the script builds a multi-feature representation of price behavior and uses a k-Nearest Neighbors (kNN) model to identify past patterns that closely resemble the present. From those matches, it derives an expected forward retur

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由Zeiierman提供

Focus Bars [Kioseff Trading]Hello Traders! 🔹 Focus Bars Focus Bars is a lower-timeframe reconstruction tool designed to break each candle into a price-based internal structure . Instead of viewing a bar as a single OHLC print, this tool redistributes intrabar participation across price levels, showing where activity, delta, and directional pressure concentrated inside the bar itself . Think of it as a way to look inside the candle . intrabar participation distributed by price level buy vs sell pressure mappe

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由KioseffTrading提供

Carrier Volatility [Pumori]Carrier Volatility This is the foundational Pulse component of the ET Massif Framework research suite. Description Pumori is a high-resolution volatility and impulse response tool built around an ultra-short fractional length (0.1 EMA). It is a high-frequency carrier framework that exposes the formation of volatility through controlled instability rather than smoothing. Unlike traditional indicators that smooth or lag volatility, Pumori captures high-frequency energy, allowing volatility to

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由et20tradeview提供

Multi Timeframe Volume Profiles [TradingIQ]Hello Traders! 🔹 Multi-Timeframe Volume Profiles Multi-Timeframe Volume Profiles is a visualization tool designed to show how volume and participation develop across multiple timeframes - all in one view. Instead of switching between charts and trying to mentally piece together context, this tool lets you see how lower timeframe activity builds into higher timeframe structure. It focuses on answering a more practical question: Where is price being accepted… and how does that agreement chan

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由Trading-IQ提供

CVD Profiles [TradingIQ]Hello Traders! 🔹 CVD Profiles CVD Profiles is a profile-based order flow visualization tool designed to show how participation distributes across price levels - not just over time, but through price itself . Think volume profile data + TPO time segmenting! Instead of looking at cumulative delta as a single line, this tool breaks it down into a price-based structure , revealing where activity, imbalance, and participation actually occurred within the session. It focuses on answering a mor

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由Trading-IQ提供

Volume Bubbles [QuantAlgo]🟢 Overview The Volume Bubbles indicator is a multi-layered volume cluster detection system that identifies statistically significant volume events directly on your price chart, classifying them by magnitude (Small, Medium, Big) and direction (Buy, Sell, Mixed). By combining adaptive percentile thresholds across multiple lookback windows with optional volume delta analysis, this indicator highlights moments of elevated trading activity that often signal institutional participation, trend acce

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由QuantAlgo提供

Monte Carlo CT [SS]This is the Monte Carlo CT indicator. CT stands for "central tendencies" and is the real distinguishing characteristic of this indicator against other Monte Carlo based indicators. In statistics, Central Tendency is a single value that attempts to describe a set of data by identifying the central position within that set. It is the typical or expected value that the data clusters around. While the most common measures are the mean (average), median (middle value), and mode (most frequent), in

指標

由Steversteves提供