FinGPT: Open-Source Financial Large Language Models! Revolutionize ๐ฅ We release the trained model on HuggingFace.
updated at May 19, 2024, 11:38 p.m.
FinRL: Financial Reinforcement Learning. ๐ฅ
updated at May 19, 2024, 7:09 p.m.
๐ฆ ๐๐ฒ๐ฎ๐ฟ๐ป about ๐๐๐ ๐, ๐๐๐ ๐ข๐ฝ๐, and ๐๐ฒ๐ฐ๐๐ผ๐ฟ ๐๐๐ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐ด๐ฐ๐ถ๐ณ๐ค๐ฆ ๐ค๐ฐ๐ฅ๐ฆ + ๐ท๐ช๐ฅ๐ฆ๐ฐ & ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฎ๐ข๐ต๐ฆ๐ณ๐ช๐ข๐ญ๐ด
updated at May 19, 2024, 5:55 p.m.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
updated at May 19, 2024, 1:24 p.m.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
updated at May 19, 2024, 10:20 a.m.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
updated at May 19, 2024, 8:23 a.m.
Performance analysis of predictive (alpha) stock factors
updated at May 18, 2024, 9:29 a.m.
Analysis of High Frequency Trading on Bitcoin exchanges
updated at May 18, 2024, 3:01 a.m.
Quantitative analysis, strategies and backtests
updated at May 17, 2024, 11:41 p.m.
Sources codes for: Mastering Python for Finance, Second Edition
updated at May 16, 2024, 8:08 p.m.
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
updated at May 16, 2024, 2:30 p.m.
Mostly experiments based on "Advances in financial machine learning" book
updated at May 13, 2024, 2:43 p.m.
TensorFlowๅฎๆ๏ผไฝฟ็จLSTM้ขๆตๅฝฉ็ฅจ
updated at May 10, 2024, 10:31 p.m.
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
updated at May 5, 2024, 1:19 a.m.
This trading-gym is the first trading for agent to train with episode of short term trading itself.
updated at April 22, 2024, 4:13 a.m.