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Wickra

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

Open github.comwickra-lib/wickra

Found in these lists

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.

FreshScore 87

Awesome Java

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.

FreshScore 93

Awesome Quant

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.

FreshScore 91

Libraries and packages

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

FreshScore 86

Awesome Rust

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.

FreshScore 94

Awesome Systematic Trading

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.

FreshScore 89

QTradeX

| Python, Live Trading | - A powerful and flexible Python framework for designing, backtesting, optimizing, and deploying algotrading bots

In 4 listsDetails

ta4j

Ta4j is an open source Java library for technical analysis. It provides the basic components for creation, evaluation and execution of trading strategies.

In 3 lists

QuantWave

| 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.

In 3 lists

quant-trading

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

In 3 lists

Chartscout

Real-time cryptocurrency chart pattern detection with automated alerts using pattern recognition algorithms

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indicator

Golang - IndicatorGo is a Golang module providing various stock technical analysis indicators, strategies, and a backtest framework for trading.

In 2 lists

XChange

Library that provides a simple and consistent API for interacting with 50+ Bitcoin currency exchanges.

In 2 lists

Cassandre

Cassandre makes it easy to create and run a Java crypto trading bot. Cassandre takes care of exchange connections, accounts, orders, and position management.

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