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Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
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pyproject.toml
python ecosystem,
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Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
Python Backtesting library for trading strategies
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Analysis of financial instruments
Time series and portfolio analytics for quantitative finance.
C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.
