Fred-LHH

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

alltick-realtime-forex-crypto-stock-tick-finance-websocket-api

Real-time financial market data API, real-time forex data API, real-time stock data API, real-time cryptocurrency data API, real-time commodity data API service,real-time tick data,tick-by-tick quotes,data access solutions,real-time market quotes api,实时金融市场数据API,实时外汇数据API,实时股票数据API,实时加密货币数据API,实时商品数据API服务, 实时Tick数据, 逐笔报价, 数据接入解决方案,实时行情报价api

huatai-finengi-report

:books: 华泰金工研究报告

Barra-Model

A framework to do barra factor return decomposition

Barra_Equity_Model

The Barra China Equity Model (CNE5) captures the short and long term dynamics of the Chinese local market and includes the latest advances in risk methodology, allowing institutional investors the ability to align the risk model with their investment process. The model provides significantly more explanatory power than its predecessor (CHE2).

Stocks

Programs for stock prediction and evaluation

StockPricePrediction

Stock Price Prediction using Machine Learning Techniques

Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

gcgru_stock_prediction

FinML

FinML: A Practical Machine Learning Framework for Dynamic Stock Selection

Dynamic-Stock-Recommendation-Machine_Learning-Published-Paper-IEEE

DA-RNN

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Adv-ALSTM

Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019

stock_cnn_blog_pub

This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"

stock-top-papers

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

Personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

scutquant

scutquant是一个开源的离线量化投资平台，由华南理工大学量化投资协会负责维护. 该框架具有低耦合, 高内聚的特点

XGboost_Index-Enhancement-Strategy

【Framework】A Multi Factor Strategy based on XGboost, its my homework project in Tsinghua, the Introduction to Quantitative Finance, 2019 Spring.

strategy

PHBS_ML_for_quant_project

AlphaSignalFromMachineLearning

PHBS_multi-factor_project

StockFormer

PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".

stock-returns

Code for paper 'The κ-generalised Distribution for Stock Returns'

REGCN

The code for paper "Enhanced stock price forecasting through a regularized ensemble framework with graph convolutional networks".

DRAGAN-Feature-Matching

The implementation code for the paper titled "Stock Market Forecasting using DRAGAN and Feature Matching."

Dynamic-Stock-Co-Movement-Graphs-for-Stock-Predictions

Code for paper "Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions"

StockMixer

Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".

stock-embeddings

Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets