Resources about time series forecasting and deep learning.

An open-source, low-code machine learning library in Python

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

Code for Machine Learning for Algorithmic Trading, 2nd edition.

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

Advances in Financial Machine Learning

Algo trading with strategy customization, genetic algorithm for hyper params optimizing, and backtesting.

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

App to test strategies based on artificial intelligence for investing in the stock market.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

A Pytorch implementation of paper "Temporal Relational Ranking for Stock Prediction"

public version of MLFINLAB from Hudson-Thames

efinance 是一个可以快速获取基金、股票、债券、期货数据的 Python 库，回测以及量化交易的好帮手！🚀🚀🚀

Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

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 Advers…

Code for paper "Temporal Relational Ranking for Stock Prediction"

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

Contains all code related to using HMMs to predict stock market prices.

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Python Backtesting library for trading strategies

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

Scalable, event-driven, deep-learning-friendly backtesting library

code and data for the time series analysis vids on my YouTube channel

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

Code I wrote while trying out hyperparameter tuning in reinforcement learning