Awesome AI in Finance
Section: Technical Analysis · Native library computing 500+ technical-analysis indicators over OHLC data, streaming-first; Rust core with Python, Node.js, WASM and a C ABI (C/C++/C#/Go/Java/R) bindings.
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Appears in 6 awesome lists
Streaming-first technical-analysis library with a Rust core and native Python/Node/WASM bindings plus a C ABI (C, C++, C#/.NET, Go, Java, R); 514 O(1)-per-tick indicators across 24 families, bit-exact batch and streaming
Section: Technical Analysis · Native library computing 500+ technical-analysis indicators over OHLC data, streaming-first; Rust core with Python, Node.js, WASM and a C ABI (C/C++/C#/Go/Java/R) bindings.
Section: Financial · Apache-2.0 🟢Technical-analysis library with 514 streaming O(1)-per-tick indicators on a native Rust core, on Maven Central as org.wickra:wickra; more indicators and incremental updates than the pure-Java ta4j.
Section: Technical Indicators · Rust Python JavaScript C++ C# Golang Java R - Streaming-first technical-analysis library with a Rust core: 514 indicators updating in O(1) per tick, with bit-exact batch-vs-streaming results.
Section: Indicators · Streaming-first technical-analysis library with a Rust core and native Python/Node/WASM bindings plus a C ABI (C, C++, C#/.NET, Go, Java, R); 514 O(1)-per-tick indicators across 24 families, bit-exact batch and streaming
Section: Finance · [wickra] - Streaming-first technical analysis: 514 indicators with O(1) per-tick updates, from a Rust core with native Python, Node.js and WASM bindings plus a C ABI hub for C, C++, C#, Go, Java and R.
Section: Indicators · | Rust & Python & JavaScript & C++ & C# & Go & Java & R | - Streaming-first technical-analysis library with 514 O(1)-per-tick indicators across 24 families; bit-exact batch and streaming from one Rust core.
| Python, Live Trading | - A powerful and flexible Python framework for designing, backtesting, optimizing, and deploying algotrading bots
Ta4j is an open source Java library for technical analysis. It provides the basic components for creation, evaluation and execution of trading strategies.
| Python Rust Polars | - Polars-native technical analysis and backtesting with bit-identical batch and streaming parity, plus an agent skill for consistent research-to-live strategy code.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Real-time cryptocurrency chart pattern detection with automated alerts using pattern recognition algorithms
Golang - IndicatorGo is a Golang module providing various stock technical analysis indicators, strategies, and a backtest framework for trading.
Library that provides a simple and consistent API for interacting with 50+ Bitcoin currency exchanges.
Cassandre makes it easy to create and run a Java crypto trading bot. Cassandre takes care of exchange connections, accounts, orders, and position management.