Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
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Updated
May 23, 2024 - Python
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Yuan - Investment OS for everyone
Stock Market "Gap Up" Screener - Financial market capitalizations (IEX Cloud API).
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
A curated list of practical financial machine learning tools and applications.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Open source quantitative trading 🍊
A modern quantitative finance framework that makes the complex simple
Machine Learning - Master's program in Economics & Financial Engineering at Université Paris Dauphine - PSL. The objective of this challenge proposed by by SNCF-Transilien is to predict is the number of validations per day and per station.
Investment Research for Everyone, Everywhere.
The adventures of a non-coder through the financial markets.
Quantitative Investment Strategies (QIS) package implements analytics for visualisation of financial data, performance reporting, analysis of quantitative strategies.
The Swiss Army Knife of Applied Quantum Technology
Material for the course "Time series analysis with Python"
Replication of the research paper : Volatility Timing under Low-Volatility Strategy
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Quool, a quantum financial tool, supporting native file data access, database access, crawler data access, and backtest together with analysis.
ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.
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