zhuzhenping Goto Github PK
Type: User
Type: User
a light-weighted, integrated trading/backtesting system/platform(综合量化交易回测系统/平台)
套利系统
Execution Provider for OpenQuant and Interactive Brokers
**2000年以来到2018年2月份的历史数据,包括股票基础信息和每支股票每天的基本交易信息
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stock Prediction with XGBoost: A Technical Indicators' approach
In this project we try to forecast S&P 500 stocks with machine learning and time series methods
Simple Stock like ticker simulator for SEOUL AI Gym
A custom OpenAI gym environment for simulating stock trades on historical price data.
A comprehensive approach for stock trading implemented individually using Neural Network and Reinforcement Learning.
股票交易自动化
trading by Deep Q-Network
stock trading by Deep Q-Learning (Deep Q Network)
An OpenAI Gym environment for stock market data
Stock Market Gym for train AI learning agents.
This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.
stock trading strategy automatic generated from historical price and volume, using DQN
stock_predict_with_LSTM
用RNN-LSTM方法预测A股走势
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
College Project
在A股(股票)市场上训练强化学习交易智能体
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, bitcoins and options).
#ML #ReinforcementLearning #PlayingAround
quantitative trading with javascript 用Javascript OR Python进行量化交易
掘金策略集锦
Data Stream Gym for Reinforcement Learning | Stock Market, TimeSeries Data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.