bhoang's repositories
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
FinGPT
Data-Centric FinGPT. Open-source for open finance! Revolutionize š„ We'll soon release the trained model.
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
zipline-reloaded
Zipline, a Pythonic Algorithmic Trading Library
GamestonkTerminal
The next best thing after Bloomberg Terminal
vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
quanttrader
Backtest and live trading in Python
algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Stocks-Pattern-Analyzer
This tool should help discover different patterns based on similarity measures in historical (financial) data
reddit-hyped-stocks
A web application to explore currently hyped stocks on Reddit
mslive_public
Track live sentiment for stocks from Reddit and Twitter and identify growing stocks
OECD-Project
Project to connect OECD CLI data to S&P revenue growth
AI_Stock_Trading
Design pattern for critical stages in the development process of an AI Stock Trading Bot
IEX_historical-prices
This repo contains a script for regularly downloading all historic intraday OHCL data from IEX with Python, asynchronously, via API and forĀ free.
CompFinLecture
Material for Antoine Savine's Computational Finance Lectures at Copenhagen University
Kaggle-Titanic-Solution
How I scored in the top 1% of Kaggle's Titanic Machine Learning Challenge
stock-trading-ml
A stock trading bot that uses machine learning to make price predictions.
ECM-in-python
I implement and test an ECM on JP Morgan's stock and the S&P500
Deep-Portfolio-Management
Source code for the blog post on the evolution of the asset allocation methods
Hands-On-Machine-Learning-for-Algorithmic-Trading
Hands-On Machine Learning for Algorithmic Trading, published by Packt
machine-learning-for-trading
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
LogicAppTemplateCreator
Script to convert Logic Apps into templates for deployment
Bitcoin-Trader-RL
A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
Data-Analysis
Data Science Using Python
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