bhoang's repositories

AI_Stock_Trading

Design pattern for critical stages in the development process of an AI Stock Trading Bot

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algorithmic-trading-with-python

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

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Bitcoin-Trader-RL

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

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CompFinLecture

Material for Antoine Savine's Computational Finance Lectures at Copenhagen University

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Data-Analysis

Data Science Using Python

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Deep-Portfolio-Management

Source code for the blog post on the evolution of the asset allocation methods

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ECM-in-python

I implement and test an ECM on JP Morgan's stock and the S&P500

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GamestonkTerminal

The next best thing after Bloomberg Terminal

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Hands-On-Machine-Learning-for-Algorithmic-Trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

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IEX_historical-prices

This repo contains a script for regularly downloading all historic intraday OHCL data from IEX with Python, asynchronously, via API and for free.

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Kaggle-Titanic-Solution

How I scored in the top 1% of Kaggle's Titanic Machine Learning Challenge

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LogicAppTemplateCreator

Script to convert Logic Apps into templates for deployment

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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

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machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

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mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

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OECD-Project

Project to connect OECD CLI data to S&P revenue growth

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reddit-hyped-stocks

A web application to explore currently hyped stocks on Reddit

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spectre

GPU-accelerated Factors analysis library and Backtester

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stock-trading-ml

A stock trading bot that uses machine learning to make price predictions.

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Stocks-Pattern-Analyzer

This tool should help discover different patterns based on similarity measures in historical (financial) data

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Adv_Fin_ML_Exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

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AI-For-Beginners

12 Weeks, 24 Lessons, AI for All!

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FinGPT

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.

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mslive_public

Track live sentiment for stocks from Reddit and Twitter and identify growing stocks

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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.

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quanttrader

Backtest and live trading in Python

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vectorbt

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

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zipline-reloaded

Zipline, a Pythonic Algorithmic Trading Library

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