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I tried to solve the questions in 'Advances in Financial Machine Learning' by Lopez de Prado. Many are cloned from other gits.
Ant Colony Optimization for Feature Selection
Python package to test for structural breaks at a specified date using the Chow Test.
Simple Python 3 wrapper for the public CryptoCompare API.
Tools for use in DeFi. Impermanent Loss calculations, staking and farming strategies, coingecko and pancakeswap API queries, liquidity pools and more
This is an erc20 smart-contract token implemented from scratch in Solidity and deployed to testnet using Truffle. This project was undertaken by myself under the supervision of Blockvis.com.
Moved Permanently: https://github.com/fracdiff/fracdiff
Simple python script that bulk downloads historical data from FXCM
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Technical Analysis Library Time-Series
Using python and scikit-learn to make stock predictions
A library for financial options pricing written in Python.
Santiment API Python Client
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
This repository implements several swarm optimization algorithms and visualizes them. Implemented algorithms: Particle Swarm Optimization (PSO), Firefly Algorithm (FA), Cuckoo Search (CS), Ant Colony Optimization (ACO), Artificial Bee Colony (ABC), Grey Wolf Optimizer (GWO) and Whale Optimization Algorithm (WOA)
A financial trading method using machine learning.
An intuitive library to extract features from time series
Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.
This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
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.