Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
created at July 21, 2016, 5:14 a.m.
Common financial technical indicators implemented in Pandas.
created at Sept. 1, 2016, 9:02 p.m.
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
created at Oct. 4, 2016, 2:42 p.m.
Quantitative analysis, strategies and backtests
created at June 27, 2020, 2:38 a.m.
Common financial risk and performance metrics. Used by zipline and pyfolio.
created at March 18, 2016, 10:22 a.m.
Python live trade execution library with zipline interface.
created at Aug. 2, 2018, 4:26 p.m.
Genetic Algorithm for solving optimization of trading strategies using Gekko
created at Nov. 8, 2017, 2:45 a.m.
A Python Pandas implementation of technical analysis indicators
created at July 16, 2015, 5:20 a.m.
Environment for reinforcement-learning algorithmic trading models
created at Dec. 9, 2016, 8:46 p.m.
đŠ đđČđźđżđ» about đđđ đ, đđđ đąđœđ, and đđČđ°đđŒđż đđđ for free by designing, training, and deploying a real-time financial advisor LLM system ~ đŽđ°đ¶đłđ€đŠ đ€đ°đ„đŠ + đ·đȘđ„đŠđ° & đłđŠđąđ„đȘđŻđš đźđąđ”đŠđłđȘđąđđŽ
created at June 28, 2023, 6:23 a.m.
Mostly experiments based on "Advances in financial machine learning" book
created at Feb. 16, 2019, 9:18 p.m.
Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.
created at Feb. 25, 2018, 9:49 p.m.
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created at Aug. 23, 2017, 5:15 a.m.