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Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Algorithmic Short Selling with Python, Published by Packt
In this repository you are going to find trading strategies and exploratory data analysis
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
Proof of concept Cointegration-Based spread trading strategy applied to the Foreign Exchange market
Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the company's sector.
Python Backtesting library for trading strategies
Official Documentation for the Binance Spot APIs and Streams
Source code for my personal blog
btplotting provides plotting for backtests, optimization results and live data from backtrader.
This project consists of web scraping features of S&P 500 companies like ticker, company name, sector, headquarter, date first added and foundation year from Wikipedia with Python using BeatifulSoup and Requests libraries. Then, the web scraped data is cleaned to perform data visualization in order to deliver insights about S&P 500 companies.
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.
Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!
A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.
Forecasting Time-Series Data with Facebook Prophet, published by Packt
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Dockerized IB gateway
Python sync/async framework for Interactive Brokers API
Kelly Criterion calculation
Practical Full-Stack Machine Learning
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Mastering Python for Finance – Second Edition, published by Packt
Financial Markets Data Visualization using Matplotlib
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
forecasting examples using Facebook Prophet
Comprehensive Python Cheatsheet
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.