Explore 11,183 indicators. Filter beyond the obvious.
Discover the tools that fit the way you trade.
11,183 tools to explore
A unique trading indicator combining Murrey Math formulas with Fibonacci retracement levels to identify potential market tops, bottoms, and long-term trend dynamics with enhanced precision.
A trading signal using Kadane's algorithm to identify the largest market impulse within a window, then applying Murrey's math lines to map potential price movements and trading opportunities.
A quantitative price forecasting indicator that analyzes past price data to predict future movements, calculate probabilities, and highlight potential trading opportunities using mean-reverting logic.
Trend Angle calculates the inclination of price movements over a specified timeframe, providing traders with a quantitative method to assess market directionality and momentum.
A TradingView indicator that identifies potential liquidity pools by detecting areas with clustered equal highs or lows, helping traders anticipate price reactions and stop loss zones.
A linear regression indicator that calculates average price deviation and visualizes trend direction through color-coded lines and dispersion markers.
A comprehensive matrix math library for Pine Script that enables advanced mathematical operations, multiple linear regression, and solving complex linear equation systems for trading analysis.
MATHR3E RAMP-MA is a trend-following indicator that helps traders identify market direction and potential entry points using moving average crossovers and rate of change analysis.
A swing range indicator that identifies key market levels by calculating the highest high, lowest low, and midpoint over a specified lookback period to help traders analyze potential support and resistance zones.
A comprehensive trading indicator combining volume analysis, Z-Score bands, autoregressive forecasting, and ANOVA variance analysis to identify potential market trends and trading opportunities.
Rainbow Drift Beta is an EMA-based indicator that detects trend direction and potential entry points by analyzing multiple exponential moving averages across different timeframes.
Bitcoin wave model uses logarithmic regression and sinusoidal waves to predict price movements based on halving events, creating a predictive channel for cryptocurrency price forecasting.
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