指标和策略

Langlands-Operadic Möbius Vortex (LOMV)Langlands-Operadic Möbius Vortex (LOMV) Where Pure Mathematics Meets Market Reality A Revolutionary Synthesis of Number Theory, Category Theory, and Market Dynamics 🎓 THEORETICAL FOUNDATION The Langlands-Operadic Möbius Vortex represents a groundbreaking fusion of three profound mathematical frameworks that have never before been combined for market analysis: The Langlands Program: Harmonic Analysis in Markets Developed by Robert Langlands (Fields Medal recipient), the Langlands Pr

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由DskyzInvestments提供

Risk-Adjusted Momentum Oscillator # Risk-Adjusted Momentum Oscillator (RAMO): Momentum Analysis with Integrated Risk Assessment ## 1. Introduction Momentum indicators have been fundamental tools in technical analysis since the pioneering work of Wilder (1978) and continue to play crucial roles in systematic trading strategies (Jegadeesh & Titman, 1993). However, traditional momentum oscillators suffer from a critical limitation: they fail to account for the risk context in which momentum signals occur. This oversight can lead

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由EdgeTools提供

TrendMaster Pro 2.3 with Alerts Hello friends, A member of the community approached me and asked me how to write an indicator that would achieve a particular set of goals involving comprehensive trend analysis, risk management, and session-based trading controls. Here is one example method of how to create such a system: Core Strategy Components Multi-Moving Average System - Uses configurable MA types (EMA, SMA, SMMA) with short-term (9) and long-term (21) periods for primary signal generation through crossovers High

策略

由everget提供

Support and Resistance Logistic Regression | Flux Charts 💎 GENERAL OVERVIEW Introducing our new Logistic Regression Support / Resistance indicator! This tool leverages advanced statistical modeling "Logistic Regressions" to identify and project key price levels where the market is likely to find support or resistance. For more information about the process, please check the "HOW DOES IT WORK ?" section. Logistic Regression Support / Resistance Features : Intelligent S/R Identification : The indicator uses a logistic regression model to int

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由fluxchart提供

Mandelbrot-Fibonacci Cascade Vortex (MFCV)Mandelbrot-Fibonacci Cascade Vortex (MFCV) - Where Chaos Theory Meets Sacred Geometry A Revolutionary Synthesis of Fractal Mathematics and Golden Ratio Dynamics What began as an exploration into Benoit Mandelbrot's fractal market hypothesis and the mysterious appearance of Fibonacci sequences in nature has culminated in a groundbreaking indicator that reveals the hidden mathematical structure underlying market movements. This indicator represents months of research into chaos theory, fracta

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由DskyzInvestments提供

EMD Trend [InvestorUnknown]EMD Trend is a dynamic trend-following indicator that utilizes Exponential Moving Deviation (EMD) to build adaptive channels around a selected moving average. Designed for traders who value responsive trend signals with built-in volatility sensitivity, this tool highlights directional bias, market regime shifts, and potential breakout opportunities. How It Works Instead of using standard deviation, EMD Trend employs the exponential moving average of the absolute deviation from a moving avera

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由InvestorUnknown提供

Bear Market Probability Model # Bear Market Probability Model: A Multi-Factor Risk Assessment Framework The Bear Market Probability Model represents a comprehensive quantitative framework for assessing systemic market risk through the integration of 13 distinct risk factors across four analytical categories: macroeconomic indicators, technical analysis factors, market sentiment measures, and market breadth metrics. This indicator synthesizes established financial research methodologies to provide real-time probabilistic ass

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由EdgeTools提供

Range Filter [DW]This is an experimental study designed to filter out minor price action for a clearer view of trends. Inspired by the QQE's volatility filter, this filter applies the process directly to price rather than to a smoothed RSI. First, a smooth average price range is calculated for the basis of the filter and multiplied by a specified amount. Next, the filter is calculated by gating price movements that do not exceed the specified range. Lastly the target ranges are plotted to display the prices th

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由DonovanWall提供

Delta Volume Columns Pro [LucF]█ OVERVIEW This indicator displays volume delta information calculated with intrabar inspection on historical bars, and feed updates when running in realtime. It is designed to run in a pane and can display either stacked buy/sell volume columns or a signal line which can be calculated and displayed in many different ways. Five different models are offered to reveal different characteristics of the calculated volume delta information. Many options are offered to visualize the calculation

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BERLIN Candles A problem with Heikin Ashi is that while it gives you a great overview of overall direction, it is rarely possible to use it as a replacement for normal japanese candlesticks. The reason for this is that actual price data is lost, since the candles are more akin to a moving average than a different way to see price action. Also, with Heikin Ashi, most of the actual price action is lost, because the candles can be bigger than the high and low of the underlying japanese candlestick. With BERLIN C

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由lejmer提供

Support Resistance Channels Hello All, For Long time I was planning to make Support/Resistance Channels script, finally I had time and here it is. How this script works? - it finds and keeps Pivot Points - when it found a new Pivot Point it clears older S/R channels then; - for each pivot point it searches all pivot points in its own channel with dynamic width - while creating the S/R channel it calculates its strength - then sorts all S/R channels by strength - it shows the strongest S/R channels, before doing thi

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由LonesomeTheBlue提供

MathSpecialFunctionsConvolve1D Library "MathSpecialFunctionsConvolve1D" Convolution is one of the most important mathematical operations used in signal processing. This simple mathematical operation pops up in many scientific and industrial applications, from its use in a billion-layer large CNN to simple image denoising. ___ Reference: www.algorithm-archive.org numpy.org lloydrochester.com www.geeksforgeeks.org f(signal, filter) Convolve Parameters: signal (array) : List with signal data. filter (array) :

脚本库

由RicardoSantos提供

ErrorFunctions Library "ErrorFunctions" A collection of functions used to approximate the area beneath a Gaussian curve. Because an ERF (Error Function) is an integral, there is no closed-form solution to calculating the area beneath the curve. Meaning all ERFs are approximations; precisely wrong, but mostly accurate. How close you need to get to the actual area depends entirely on your use case, with more precision being less efficient. The internal precision of floats in Pine Script is 1e-16 (16 decimal

脚本库

由liquid-trader提供

Trend Volatility Index (TVI)Trend Volatility Index (TVI) A robust nonparametric oscillator for structural trend volatility detection ⸻ What is this? TVI is a volatility oscillator designed to measure the strength and emergence of price trends using nonparametric statistics. It calculates a U-statistic based on the Gini mean difference across multiple simple moving averages. This allows for objective, robust, and unbiased quantification of trend volatility in tick-scale values. ⸻ What can it do? • Quantify trend stre

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由chikaharu提供

Cointegration Heatmap & Spread Table [EdgeTerminal]The Cointegration Heatmap is a powerful visual and quantitative tool designed to uncover deep, statistically meaningful relationships between assets. Unlike traditional indicators that react to price movement, this tool analyzes the underlying statistical relationship between two time series and tracks when they diverge from their long-term equilibrium — offering actionable signals for mean-reversion trades . What Is Cointegration? Most traders are familiar with correlation, which measu

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由EdgeTerminal提供

Bloomberg Financial Conditions Index (Proxy)The Bloomberg Financial Conditions Index (BFCI): A Proxy Implementation Financial conditions indices (FCIs) have become essential tools for economists, policymakers, and market participants seeking to quantify and monitor the overall state of financial markets. Among these measures, the Bloomberg Financial Conditions Index (BFCI) has emerged as a particularly influential metric. Originally developed by Bloomberg L.P., the BFCI provides a comprehensive assessment of stress or ease in financial

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由EdgeTools提供

TASC 2025.06 Cybernetic Oscillator █ OVERVIEW This script implements the Cybernetic Oscillator introduced by John F. Ehlers in his article "The Cybernetic Oscillator For More Flexibility, Making A Better Oscillator" from the June 2025 edition of the TASC Traders' Tips . It cascades two-pole highpass and lowpass filters, then scales the result by its root mean square (RMS) to create a flexible normalized oscillator that responds to a customizable frequency range for different trading styles. █ CONCEPTS Oscillators are i

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由PineCodersTASC提供

Dynamic Volume Clusters with Retest Signals (Zeiierman)█ Overview The Dynamic Volume Clusters with Retest Signals indicator is designed to detect key Volume Clusters and provide Retest Signals. This tool is specifically engineered for traders looking to capitalize on volume-based trends, reversals, and key price retest points. The indicator seamlessly combines volume analysis, dynamic cluster calculations, and retest signal logic to present a comprehensive trading framework. It adapts to market conditions, identifying clusters of volume activit

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由Zeiierman提供

Multi-Layer Volume Profile [BigBeluga]A powerful multi-resolution volume analysis tool that stacks multiple profiles of historical trading activity to reveal true market structure. This indicator breaks down total and delta volume distribution across time at four adjustable depths — enabling traders to spot major POCs, volume shelves, and zones of price acceptance or rejection with unmatched clarity. 🔵 KEY FEATURES Multi-Layer Volume Profiles: Up to 4 separate volume profiles are stacked on the chart: - Profi

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由BigBeluga提供

pymath █ OVERVIEW This library ➕ enhances Pine Script's built-in types (`float`, `int`, `array`, `array`) with mathematical methods, mirroring 🪞 many functions from Python's `math` module. Import this library to overload or add to built-in capabilities, enabling calls like `myFloat.sin()` or `myIntArray.gcd()`. █ CONCEPTS This library wraps Pine's built-in `math.*` functions and implements others where necessary, expanding the mathematical toolkit available within Pine Script. It provides a mo

脚本库

由kaigouthro提供

Best SMA Finder This script, Best SMA Finder, is a tool designed to identify the most robust simple moving average (SMA) length for a given chart, based on historical backtest performance. It evaluates hundreds of SMA values (from 10 to 1000) and selects the one that provides the best balance between profitability, consistency, and trade frequency. What it does: The script performs individual backtests for each SMA length using either "Long Only" or "Buy & Sell" logic, as selected by the user. For each tested

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由Julien_Exe提供

Bitcoin Monthly Seasonality [Alpha Extract]The Bitcoin Monthly Seasonality indicator analyzes historical Bitcoin price performance across different months of the year, enabling traders to identify seasonal patterns and potential trading opportunities. This tool helps traders: Visualize which months historically perform best and worst for Bitcoin. Track average returns and win rates for each month of the year. Identify seasonal patterns to enhance trading strategies. Compare cumulative or individual monthly performance. 🔶 CALCUL

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由AlphaExtract提供

Market Manipulation Index (MMI)The Composite Manipulation Index (CMI) is a structural integrity tool that quantifies how chaotic or orderly current market conditions are, with the aim of detecting potentially manipulated or unstable environments. It blends two distinct mathematical models that assess price behavior in terms of both structural rhythm and predictability. 1. Sine-Fit Deviation Model: This component assumes that ideal, low-manipulation price behavior resembles a smooth oscillation, such as a sine wave. It genera

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由Tradenometry提供

Dual-Phase Trend Regime Oscillator (Zeiierman)█ Overview Trend Regime: Dual-Phase Oscillator (Zeiierman) is a volatility-sensitive trend classification tool that dynamically switches between two oscillators, one optimized for low volatility, the other for high volatility. By analyzing standard deviation-based volatility states and applying correlation-derived oscillators, this indicator reveals not only whether the market is trending but also what kind of trend regime it is in —Bullish or Bearish —and how that regime reacts to market v

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由Zeiierman提供