Scalable, event-driven, deep-learning-friendly backtesting library
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Updated
Aug 28, 2021 - Python
Scalable, event-driven, deep-learning-friendly backtesting library
Markowitzify will implement a variety of portfolio and stock/cryptocurrency analysis methods to optimize portfolios or trading strategies. The two primary classes are "portfolio" and "stonks."
A Quantity calculator which suggests you best position size following your Risk Management.
The ModFin project aims to provide users with the necessary tools for modeling and analyzing individual assets and portfolios.
Base indicators and forecasting models for statistics and quantitive analysis
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