Explore 11,183 indicators. Filter beyond the obvious.
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11,183 tools to explore
A precise weighted percentile algorithm for calculating nearest rank percentiles, offering a robust method for statistical analysis and data ranking with variable importance weights.
A weighted Fourier transform technique that analyzes time series data by incorporating time and order information, enabling advanced spectral filtering and frequency analysis for trading signals.
A weighted fair price calculation that estimates the true center of market activity by balancing open, close, and trading volume within a specific interval.
A non-random time series analysis metric that identifies potential mean-reverting or consistent market behaviors through an efficiency ratio calculation.
HADES is an adaptive exponential smoothing method for high-frequency time series data, providing advanced forecasting and adaptive trend analysis with minimal parameter requirements.
A novel algorithmic method for detecting cyclic patterns in trading data by measuring non-randomness and potential periodic signals through two mathematical formulas.
Advanced trading signal focusing on extracting maximum information from price bars by analyzing trade volumes, directions, and time-weighted price features.
A machine learning approach to detecting non-randomness in time series by analyzing drift, helping traders quickly scan and identify potential trading opportunities across multiple assets.
A hybrid exponential smoothing method that applies smoothing to data, residuals, and forecast errors for advanced time series analysis and prediction.
N-Degree Moment-Based Adaptive Detection (NDMBAD) is an advanced polynomial regression method for analyzing market trends and detecting deviations from data's core process.
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