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Name: Himanshu
Type: User
Name: Himanshu
Type: User
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Accompanying source codes for my book 'Mastering Python for Finance'.
Asset allocation and Portfolio Management Course @ Baruch MFE
A collection of homeworks of market microstructure models.
This repo contains lecture notes and projects for Spring 2017 MTH9894 Systematic Trading course
MTH9898 Big Data in Finance
This is a Python-based repository for a multi-strategy quant system. It provides a framework for implementing and testing various quantitative trading strategies on financial time series data, and can be used to generate buy/sell signals based on the outputs of those strategies.
The official example scripts for the Numerai Data Science Tournament
Pairs trading via Deep Learning Approach
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
Courses, Articles and many more which can help beginners or professionals.
resources of quantitative trading
Quantitative analysis, strategies and backtests
High Frequency Intraday Trading
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Using tabular and deep reinforcement learning methods to infer optimal market making strategies
Repository for smart reinforcement learning based financial trader done under Institute Technical Summer Project
Repo for code used to perform research for the WorldQuant University MScFE Capstone project on "Application of algorithmic trading strategies for retail investors"
Master thesis in reinforcement learning at Copenhagen Business School
The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance
Some implementations from the paper robust risk aware reinforcement learning
This project is all about coding an algo trading bot using Reinforcement Learning that makes decisions and trades itself
VIP cheatsheets for Stanford's CS 229 Machine Learning
System for Testing Statistical Arbitrage Strategy
The goal of this project is to implement a statistical arbitrage strategy as proposed in [Avellaneda and Lee 2010] and examine the strategy performance over a universe of 40 crypto currencies (or, tokens).
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.