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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
python tools for Finance with the functionality of indicator calculation, business day calculation and so on.
low code backtesting library utilizing polars and technical analysis indicators
Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
Financial market technical analysis & indicators in Julia
Python library for backtesting technical/mechanical strategies in the stock and currency markets
Modular, chainable sliding windows with various signal processing functions such as normalization, RSI, ROC and other technical indicators.
Rust crate of validated, decimal-precise trading building blocks: price types, L2 order book, tick-to-OHLCV aggregation, hundreds of streaming indicators, position ledger, risk rules, Black-Scholes Greeks and a walk-forward backtester. On crates.io.