๐ธ Papers and Code Implements for Quantitative-Trading
created at May 6, 2018, 7:21 a.m.
Analysis of High Frequency Trading on Bitcoin exchanges
created at July 27, 2017, 7:11 a.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).
created at June 2, 2023, 2:59 a.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.
created at May 19, 2019, 10:20 p.m.
This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube
created at Feb. 1, 2018, 10:02 a.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.
created at Feb. 23, 2019, 12:01 p.m.
Sources codes for: Mastering Python for Finance, Second Edition
created at Aug. 14, 2018, 12:16 p.m.
This trading-gym is the first trading for agent to train with episode of short term trading itself.
created at June 3, 2018, 7:12 a.m.
TensorFlowๅฎๆ๏ผไฝฟ็จLSTM้ขๆตๅฝฉ็ฅจ
created at Dec. 8, 2017, 6:48 a.m.
ๆบๅจๅญฆไน ๅ้ๅๅๆๅญฆไน ่ฟ่กไธญ
created at Aug. 23, 2017, 5:15 a.m.
Mostly experiments based on "Advances in financial machine learning" book
created at Feb. 16, 2019, 9:18 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
created at June 28, 2023, 6:23 a.m.
Environment for reinforcement-learning algorithmic trading models
created at Dec. 9, 2016, 8:46 p.m.
Quantitative analysis, strategies and backtests
created at June 27, 2020, 2:38 a.m.
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.
Performance analysis of predictive (alpha) stock factors
created at June 3, 2016, 9:49 p.m.