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Type: User
Bio: Algo de trading
Type: User
Bio: Algo de trading
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Modeling the S&P500 index as a hidden markov model for regime identification and creating a trading algorithm to capitalize on hidden state patterns.
A scraper that will collect data about insider trades for various public companies as well as their stock prices at the time of each trade.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Library for fitting the LPPLS model to data.
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.
Trading Strategy Development
Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning :rocket:
Backtrader Front End
CS7641 Team project
AlphaWaveData delivers APIs for financial data analysis.
Pair Trading Strategy using Machine Learning written in Python
experiments with pair trading
Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Lisboa).
A lightweight Python library for running simple Monte Carlo Simulations on Pandas Series data
python deep learning notebooks
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Portfolio analytics for quants, written in Python
Project description: https://medium.com/p/recession-prediction-using-machine-learning-de6eee16ca94?source=email-2adc3d3cd2ed--writer.postDistributed&sk=2f1dab9738769f9658634e61576a08bd
Backtesting the Fear and Greed Index and Put Call Ratio with Python and Backtrader
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).
Stock Price Prediction
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.