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AI-for-Trading

📈This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

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DARNN

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

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chan.py

开放式的缠论python实现框架，支持形态学/动力学买卖点分析计算，多级别K线联立，区间套策略，可视化绘图，多种数据接入，策略开发，交易系统对接；

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PDPbox

python partial dependence plot toolbox

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investment_data

Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data

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QuantML

量化机器学习/深度学习模型（Model Zoo）；Alpha 因子（Factor Zoo）；量化资源以及相关论文代码

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LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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Anomaly-Detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

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shap

A game theoretic approach to explain the output of any machine learning model.

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cvxportfolio

Portfolio optimization and back-testing.

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kkndme_tianya

天涯 kkndme 神贴聊房价

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Cronicle

A simple, distributed task scheduler and runner with a web based UI.

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LinSATNet

Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".

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competition-baseline

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

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joyful-pandas

pandas中文教程

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use-gplearn-to-generate-CTA-factor

本文通过gplearn模型，结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backtest中的简单回测系统，主要针对股指期货操作。

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cvxpy

A Python-embedded modeling language for convex optimization problems.

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Finance-Python

python tools for Finance with the functionality of indicator calculation, business day calculation and so on.

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awesome-quant

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

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quantstats

Portfolio analytics for quants, written in Python

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Brinson-Attribution

以wind为数据源的基金单期brinson业绩归因

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llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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whale-quant

本项目为量化开源课程，可以帮助人们快速掌握量化金融知识以及使用Python进行量化开发的能力。

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PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

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skfolio

Python library for portfolio optimization built on top of scikit-learn

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gpquant

Mining technical factors based on symbolic regression via genetic algorithm

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kungfu

Kungfu Trader

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Barra_CNE6

Barra CNE6 因子构建

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polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

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Deep-Learning-with-TensorFlow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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