tf-quant-finance by google

High-performance TensorFlow library for quantitative finance.

created at July 24, 2019, 4:09 p.m.

Python

169 +0

4,558 +10

577 +1

GitHub
stockpredictionai by borisbanushev

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.

created at Jan. 9, 2019, 8:02 a.m.

Unknown languages

273 +0

4,261 +7

1,667 +0

GitHub
The-Economist by nailperry-zd

The Economist 经济学人,持续更新

created at May 12, 2017, 2:30 p.m.

Unknown languages

388 +0

3,605 +3

545 +0

GitHub
kungfu by taurusai

Kungfu Trader

created at Nov. 15, 2017, 6:54 a.m.

C++

287 +0

3,403 +5

1,124 +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
zvt by zvtvz

modular quant framework.

created at April 4, 2019, 8:06 a.m.

Python

138 +0

3,250 +19

864 +2

GitHub
hands-on-llms by iusztinpaul

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

created at June 28, 2023, 6:23 a.m.

Jupyter Notebook

47 +1

3,100 +16

479 +2

GitHub
Awesome-Quant-Machine-Learning-Trading by grananqvist

Quant/Algorithm trading resources with an emphasis on Machine Learning

created at Nov. 5, 2018, 9:09 p.m.

Unknown languages

139 +0

2,731 +16

566 +2

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
catalyst by enigmampc

An Algorithmic Trading Library for Crypto-Assets in Python

created at June 13, 2017, 10:31 p.m.

Python

168 +1

2,494 +2

725 +0

GitHub
bitcoin-arbitrage by maxme

Bitcoin arbitrage - opportunity detector

created at Jan. 31, 2013, 11:43 a.m.

Python

284 +0

2,463 +6

857 +2

GitHub
KLineChart by klinecharts

📈Lightweight k-line chart that can be highly customized. Zero dependencies. Support mobile.(可高度自定义的轻量级k线图,无第三方依赖,支持移动端)

created at May 19, 2019, 9:04 a.m.

TypeScript

38 +0

2,460 +24

618 +4

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
FinancePy by domokane

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

created at Oct. 27, 2019, 3:04 p.m.

Jupyter Notebook

69 +1

2,145 +8

321 +0

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
FinRL-Trading by AI4Finance-LLC

For trading. Please star.

created at July 26, 2020, 1:12 p.m.

Jupyter Notebook

102 +0

2,114 +0

746 +2

GitHub
QuantResearch by letianzj

Quantitative analysis, strategies and backtests

created at June 27, 2020, 2:38 a.m.

Jupyter Notebook

73 +0

2,112 +30

452 +9

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
PGPortfolio by ZhengyaoJiang

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

created at Nov. 12, 2017, 4:08 p.m.

Python

132 +0

1,751 +0

752 +0

GitHub
TradingGym by Yvictor

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

created at May 1, 2017, 1:53 p.m.

Python

106 +0

1,596 +2

353 +0

GitHub