xybare

xybare's Stars

• chibui191/bitcoin_volatility_forecasting

  GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management

  Language:Jupyter Notebook22268

• peng3738/Selfstudy-note-for-advances-in-financial-machine-learning

  Notebook for <Advances in Financial Machine Learning> using Python 3.7

  Language:Python4428

• debauchee/barrier

  Open-source KVM software

  Language:C27.6k1.5k

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python33.7k5.7k

• AI4Finance-Foundation/ElegantRL

  Massively Parallel Deep Reinforcement Learning. 🔥

  Language:Python3.7k850

• AI4Finance-Foundation/FinRL-Meta

  FinRL­-Meta: Dynamic datasets and market environments for FinRL.

  Language:Python1.3k586

• Yvictor/TradingGym

  Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

  Language:Python1.6k354

• AminHP/gym-anytrading

  The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

  Language:Python2.1k470

• notadamking/Stock-Trading-Visualization

  A simple, yet elegant visualization of our stock trading RL agent environment.

  Language:Python214111

• araffin/rl-tutorial-jnrr19

  Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

  Language:Jupyter Notebook615116

• xybare/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  1

• jakevdp/PythonDataScienceHandbook

  Python Data Science Handbook: full text in Jupyter Notebooks

  Language:Jupyter Notebook43.1k17.9k

• nicholishen/pymt5adapter---DEPRECATED

  A drop-in pythonic adapter for the MetaTrader5 package to enhance usability.

  Language:Python8631

• erdewit/ib_insync

  Python sync/async framework for Interactive Brokers API

  Language:Python2.8k766

• xybare/Backtrader-MQL5-API

  Python Backtrader - Metaquotes MQL5 - API

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• xybare/MQL5-JSON-API

  Metaquotes MQL5 - JSON - API

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• blue-yonder/tsfresh

  Automatic extraction of relevant features from time series:

  Language:Jupyter Notebook8.4k1.2k

• BlackArbsCEO/Adv_Fin_ML_Exercises

  Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

  Language:Jupyter Notebook1.7k632

• doda/advances-in-financial-ml-notes

  Language:Jupyter Notebook22979

• boyboi86/AFML

  All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.

  Language:Jupyter Notebook609167

• Joaopeuko/Mql5-Python-Integration

  I created this library to streamline the process of developing an Expert Advisor in MQL5. While MQL5 development can be complex, the same task is more straightforward in Python.

  Language:Python15644

• BillyZhangGuoping/VNPY2_BILLY

  基于VNPY 2版本的个人代码

  Language:Jupyter Notebook1316

• xybare/py4fi2nd

  Python for Finance (2nd ed., O'Reilly) by Yves Hilpisch.

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