Lean by QuantConnect

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

updated at May 26, 2024, 4:35 a.m.

C#

417 +0

8,783 +20

3,087 +3

GitHub
backtrader by mementum

Python Backtesting library for trading strategies

updated at May 26, 2024, 4:06 a.m.

Python

607 +2

13,242 +45

3,718 +5

GitHub
rqalpha by ricequant

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

updated at May 26, 2024, 4:03 a.m.

Python

420 +0

5,219 +9

1,594 -1

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

updated at May 26, 2024, 3:43 a.m.

Python

738 +0

11,374 +26

3,674 +4

GitHub
FinGPT by AI4Finance-LLC

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

updated at May 26, 2024, 3:34 a.m.

Jupyter Notebook

238 +1

12,090 +393

1,692 +23

GitHub
awesome-quant by wilsonfreitas

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

updated at May 26, 2024, 3:30 a.m.

Python

674 +4

16,366 +125

2,454 +16

GitHub
netron by lutzroeder

Visualizer for neural network, deep learning and machine learning models

updated at May 26, 2024, 1:50 a.m.

JavaScript

295 +0

26,430 +68

2,684 +6

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

Quant/Algorithm trading resources with an emphasis on Machine Learning

updated at May 26, 2024, 1:25 a.m.

Unknown languages

135 +0

2,521 +36

543 +5

GitHub
quant-trading by je-suis-tm

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

updated at May 26, 2024, 1:13 a.m.

Python

235 +0

5,325 +13

1,098 +2

GitHub
financial-machine-learning by firmai

A curated list of practical financial machine learning tools and applications.

updated at May 26, 2024, 12:36 a.m.

Python

238 +0

5,585 +11

1,109 +4

GitHub
zvt by zvtvz

modular quant framework.

updated at May 25, 2024, 10:25 p.m.

Python

133 +0

3,027 +11

843 +0

GitHub
tf-quant-finance by google

High-performance TensorFlow library for quantitative finance.

updated at May 25, 2024, 8:42 p.m.

Python

166 +0

4,321 +3

552 +1

GitHub
Floom by FloomAI

🌊 Floom, "The K8s for AI", orchestrates & executes Generative AI pipelines, Empowering Developers and DevOps to focus on what matters.

updated at May 25, 2024, 7:47 p.m.

C#

2 +0

23 +1

3 +0

GitHub
mlforecast by Nixtla

Scalable machine 🤖 learning for time series forecasting.

updated at May 25, 2024, 7:27 p.m.

Python

13 +0

738 +5

70 +0

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

updated at May 25, 2024, 7:26 p.m.

Jupyter Notebook

44 +0

2,466 +21

387 +2

GitHub
The-Economist by nailperry-zd

The Economist 经济学人,持续更新

updated at May 25, 2024, 6:28 p.m.

Unknown languages

387 +0

3,533 +3

544 -1

GitHub
Crypto-Signal by CryptoSignal

Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks

updated at May 25, 2024, 4:15 p.m.

Python

305 -1

4,734 +6

1,235 +2

GitHub
kungfu by taurusai

Kungfu Trader

updated at May 25, 2024, 3:44 p.m.

C++

287 +1

3,275 +7

1,098 +1

GitHub
qtrader by filangel

Reinforcement Learning for Portfolio Management

updated at May 25, 2024, 3:14 p.m.

Jupyter Notebook

47 +0

446 +0

169 +0

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.

updated at May 25, 2024, 3:05 p.m.

Unknown languages

267 +0

3,958 +1

1,634 +0

GitHub