stock_market_reinforcement_learning by kh-kim

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.

Python

75 +0

791 +0

321 +0

GitHub
abu by bbfamily

阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构

created at Sept. 19, 2016, 3:31 p.m.

Python

749 +2

12,135 +63

3,775 +6

GitHub
finta by peerchemist

Common financial technical indicators implemented in Pandas.

created at Sept. 1, 2016, 9:02 p.m.

Python

85 +0

2,135 +2

694 +2

GitHub
zenbrain by carlos8f

A framework for machine-learning bots

created at July 23, 2016, 1:13 a.m.

CSS

8 +0

47 +0

18 +0

GitHub
SGX-Full-OrderBook-Tick-Data-Trading-Strategy by rorysroes

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.

Jupyter Notebook

100 +1

1,948 +7

667 +0

GitHub
rqalpha by ricequant

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

created at July 20, 2016, 10:38 a.m.

Python

420 +0

5,389 +12

1,614 +1

GitHub
zenbot by DeviaVir

Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.

created at June 27, 2016, 4:38 a.m.

HTML

473 +0

8,234 +4

2,033 -2

GitHub
alphalens by quantopian

Performance analysis of predictive (alpha) stock factors

created at June 3, 2016, 9:49 p.m.

Jupyter Notebook

169 +1

3,384 +23

1,153 +7

GitHub
zipline-tensorboard by jimgoo

TensorBoard as a Zipline dashboard

created at May 15, 2016, 4:19 p.m.

Python

14 +0

106 +0

35 +0

GitHub
playground by tensorflow

Play with neural networks!

created at April 4, 2016, 6:18 p.m.

TypeScript

475 -1

12,030 +13

2,552 +3

GitHub
empyrical by quantopian

Common financial risk and performance metrics. Used by zipline and pyfolio.

created at March 18, 2016, 10:22 a.m.

Python

72 +0

1,310 +2

408 +2

GitHub
forex.analytics by mkmarek

Node.js native library performing technical analysis over an OHLC dataset with use of genetic algorithm

created at Feb. 28, 2016, 10:16 p.m.

C

27 +0

181 +0

75 +0

GitHub
awesome-quant by wilsonfreitas

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

created at Sept. 30, 2015, 9:53 a.m.

Python

702 +0

18,204 +79

2,636 +9

GitHub
pandas_talib by femtotrader

A Python Pandas implementation of technical analysis indicators

created at July 16, 2015, 5:20 a.m.

Python

55 +0

747 +2

197 +0

GitHub
pyfolio by quantopian

Portfolio and risk analytics in Python

created at June 1, 2015, 3:31 p.m.

Jupyter Notebook

303 +0

5,709 +8

1,778 +2

GitHub
backtrader by mementum

Python Backtesting library for trading strategies

created at Jan. 10, 2015, 7:14 a.m.

Python

613 +0

14,771 +122

3,958 +19

GitHub
tushare by waditu

TuShare is a utility for crawling historical data of China stocks

created at Jan. 7, 2015, 7:51 a.m.

Python

980 +0

12,881 +11

4,288 +3

GitHub
Lean by QuantConnect

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

created at Nov. 28, 2014, 4:20 a.m.

C#

427 +0

9,893 +37

3,279 +13

GitHub
techan.js by andredumas

A visual, technical analysis and charting (Candlestick, OHLC, indicators) library built on D3.

created at May 28, 2014, 1:24 p.m.

JavaScript

152 +0

2,405 +2

534 -1

GitHub
High-Frequency-Trading-Model-with-IB by jamesmawm

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

created at May 18, 2014, 7:20 p.m.

Python

249 +1

2,532 +7

678 +2

GitHub