Joshua Xia's repositories
LTSF-Linear
This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"
AI-Strategies-StockMarket
App to test strategies based on artificial intelligence for investing in the stock market.
Algo-Trading-with-Genetic-Algorithm
Algo trading with strategy customization, genetic algorithm for hyper params optimizing, and backtesting.
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
backtrader
Python Backtesting library for trading strategies
d2l-zh
《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。
deep_rl_trader
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
efinance
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！🚀🚀🚀
finance_ml
Advances in Financial Machine Learning
HMMs_Stock_Market
Contains all code related to using HMMs to predict stock market prices.
Kats
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 characteristics, detecting change points and anomalies, to forecasting future trends.
lightning-text-classification
Minimalist implementation of a BERT Sentence Classifier with PyTorch Lightning, Transformers and PyTorch-NLP.
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
meta-labeling
Code base for the meta-labeling papers published with the Journal of Financial Data Science
MLFINLAB-1
public version of MLFINLAB from Hudson-Thames
PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
PyTorch-Model-Compare
Compare neural networks by their feature similarity
RepresentationalAnalysisOfHumanActivityRecognition
This project uses SVCCA to measure the similarity between layers in HAR models
RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
stockpredictionai
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 Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Time-Series-Analysis
code and data for the time series analysis vids on my YouTube channel
Time-Series-Forecasting-and-Deep-Learning
Resources about time series forecasting and deep learning.