jjakimoto / finance_ml
Advances in Financial Machine Learning
☆767Updated 2 years ago
Alternatives and similar repositories for finance_ml:
Users that are interested in finance_ml are comparing it to the libraries listed below
- Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]☆1,736Updated 2 years ago
- All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.☆646Updated 4 months ago
- Quantitative finance research tools in Python☆415Updated last year
- Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitativ…☆498Updated last year
- Mostly experiments based on "Advances in financial machine learning" book☆543Updated 4 years ago
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆905Updated last year
- ☆265Updated last year
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆853Updated 8 months ago
- Sources codes for: Mastering Python for Finance, Second Edition☆406Updated last month
- A complete set of volatility estimators based on Euan Sinclair's Volatility Trading☆1,630Updated 2 months ago
- Portfolio optimization with deep learning.☆943Updated 11 months ago
- Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy☆1,057Updated 4 years ago
- An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implemen…☆349Updated 6 years ago
- Resources for Quantitative Finance☆682Updated 7 months ago
- Ipython notebooks for math and finance tutorials☆1,002Updated 4 years ago
- Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado☆201Updated 3 years ago
- Python for Finance Cookbook, published by Packt☆741Updated last year
- python tools for Finance with the functionality of indicator calculation, business day calculation and so on.☆748Updated last year
- Jupyter Notebooks and code for Derivatives Analytics with Python (Wiley Finance) by Yves Hilpisch.☆603Updated 3 years ago
- Collection of algorithms for online portfolio selection☆787Updated 3 weeks ago
- Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.☆521Updated this week
- Open sourced research notebooks by the QuantConnect team.☆539Updated 8 months ago
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,272Updated 10 months ago
- A nimble options backtesting library for Python☆1,022Updated 6 months ago
- Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.☆553Updated 9 months ago
- Learn Algorithmic Trading, Published by Packt☆851Updated last year
- An open source library for portfolio optimisation☆358Updated 10 months ago
- PyTrendFollow - systematic futures trading using trend following☆383Updated 6 years ago
- Quantitative Finance and Algorithmic Trading☆329Updated 9 years ago
- Top training materials in quantitative finance☆402Updated 4 months ago