PyneCore - Pine Script Like Python Framework

🚀 Professional K-Line/Candlestick chart component for React Native with 60fps performance, interactive drawing tools, and comprehensive technical indicators. Supports iOS & Android.

My collection of open-source indicators for Tradingview and Ninjatrader

Your ultimate technical analysis indicator for spotting trends—up, down, and sideways!

Advanced GAS Price Level Indicator combines machine learning-inspired alpha factors with traditional technical analysis, providing adaptive, correlation-weighted signals for high-probability trading opportunities.

Here are some band indicators for TradingView: Bollinger Bands, Keltner Channel, Parallel Channels, and VWAP Bands.

Plots the volume distribution across price levels over a user-defined historical window. Highlights key zones like Point of Control (POC), Value‑Area High (VAH) and Low (VAL), helping identify support/resistance areas and gauge market sentiment.

Automatically detects a range of classic chart patterns—like Higher Highs/Lows, Lower Highs/Lows, Double Tops and Bottoms—by identifying swing pivots and drawing pattern lines with status labels for active, confirmed, or invalid outcomes. Ideal for price structure analysis and signal generation.

Plots swing highs, swing lows, and structural breaks (Change‑of‑Character or CHoCH). Enables easy visualization of trend shifts and dynamic support/resistance based on market structure.

Automatically detects bullish and bearish 3‑bar reversal price action patterns. Filters based on candlestick structure and volume to reduce false signals, with customizable settings tailored to your price‑action strategy.

Rust+PyO3 Enhanced Ichimoku Cloud with Hull MA smoothing — 11 zero-copy NumPy functions, GIL-free, bit-exact parity

Comprehensive technical indicators library for Go - Moving Averages, Oscillators, Momentum, Volatility, and more

ProfitBot-is-an-automated-trading-system-that-uses-advanced-algorithms-to-maximize-profits.-It-monitors-market-conditions,-executes-trades-based-on-predefined-criteria,-and-adapts-to-changing-financial-environments-to-enhance-traders'-profitability-and-efficiency.

Identification of Profitable Stocks analyzing Price Direction with Machine Learning using Trading Indicators

Uses multiple moving averages of different lengths to determine and visualize the current market trend. Provides a clear overview of trend direction across timeframes, suitable for traders of all levels.

A Python module for calculating various technical indicators on financial market data.

Identifies periods of low volatility by mapping zones confined within an ATR‑based band around a moving average. Highlights consolidation phases likely to precede breakouts or reversals.

BigE is a trend-following breakout indicator designed to catch high-conviction continuation moves using structure, volatility, and candle dominance.

Detects price zones where high trading volume coincides with reduced volatility—often locations where institutions accumulate/distribute positions. Useful for spotting potential reversal or breakout areas.