xybare's repositories
Backtrader-MQL5-API
Python Backtrader - Metaquotes MQL5 - API
MQL5-JSON-API
Metaquotes MQL5 - JSON - API
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
DarwinexLabs
Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex
ElegantRL
Lightweight and scalable deep reinforcement learning using PyTorch. 🔥
FinRL
Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥
gym
A toolkit for developing and comparing reinforcement learning algorithms.
gym-anytrading
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Introduction-to-Time-Series-forecasting-Python
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
mlfinlab
MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Mql5-Python-Integration
I created this library because the development of an Expert Advisor in MQL5 can be complicated,while, in python, the same task flows better.
NeoFinRL
Tens of market environments for quant finance.
pairstrade-fyp-2019
Trying to replicate the results of Pair Trading
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
shap
A game theoretic approach to explain the output of any machine learning model.
stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Stock-Price-Prediction-Model
Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity, Objectivity, Positive, Negative, Neutral) data is gathered from the news data and further used to predict stock prices. Achieved an accuracy of 94% using XGBoost.
Stock-Trading-Environment
A custom OpenAI gym environment for simulating stock trades on historical price data.
strategy
掘金策略集锦
ThinkBayes
Code repository for Think Bayes.
ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
TradingGym
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
v2ray-agent
神秘力量,自行体会
vnpy
基于Python的开源量化交易平台开发框架
VNPY2_BILLY
基于VNPY 2版本的个人代码