Explore 11,183 indicators. Filter beyond the obvious.
Discover the tools that fit the way you trade.
11,183 tools to explore
A trading tool that identifies entry points by retesting the average price between two swing points, using volatility and user-defined parameters to generate precise trade signals.
A machine learning regression tool using RANSAC to create robust trend analysis by filtering out market noise and identifying underlying price movements with greater accuracy.
A polynomial regression function that analyzes data points to provide predictions, deviations, and statistical insights about trend and momentum patterns in financial datasets.
A quadratic regression indicator that fits a parabolic curve to price data, allowing traders to analyze non-linear trends and potentially forecast future price movements.
A dynamic support and resistance indicator using polynomial regression to identify price pivot points and potential trend reversal zones with customizable complexity.
A probability cone is a statistical forecast indicator that visualizes potential price distribution using standard or Laplace distributions, helping traders understand potential price movement ranges.
An advanced Kalman Filter-based indicator that separates price movements into trend and oscillation components, providing adaptive trend strength analysis across different market conditions.
An advanced trend-following indicator using Kalman Filter technology to dynamically track market trends, adapting to changing conditions through sophisticated statistical algorithms.
A trading indicator designed to backtest the Defining Range (DR) concept, allowing traders to analyze session performance relative to predefined price ranges.
A sophisticated statistical approach using weighted Harrell-Davis quantile estimators to analyze price distributions more accurately than traditional methods, providing robust insights into market behavior.
A machine learning trading indicator that generates adaptive buy and sell signals by analyzing historical price data and identifying complex market patterns using advanced algorithms.
An advanced Bitcoin price prediction model using Stock-to-Flow ratio with nonlinear analysis, offering refined insights into cryptocurrency market dynamics and potential price movements.
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