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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]

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

ai_stock_trading

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

algorithmic-trading-with-python

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

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

arima_vs_lstm_time_series

azure-api-management-devops-resource-kit

Azure API Management DevOps Resource Kit

bitcoin-trader-rl

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

capstone-project

compfinlecture

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

data-analysis

Data Science Using Python

datacamp_tutorials

deep-portfolio-management

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

ecm-in-python

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

fingpt

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

gamestonkterminal

The next best thing after Bloomberg Terminal

hands-on-machine-learning-for-algorithmic-trading

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

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.

kaggle-titanic-solution

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

logicapptemplatecreator

Script to convert Logic Apps into templates for deployment

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

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

medium_articles

Scripts used for articles published on Medium

mlfinlab

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

mslive_public

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

neural_networkds_and_deep_learning

oecd-project

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

predicting-stock-market-crashes

py4fi

Python for Finance (O'Reilly)

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.