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ai_for_trading

Code repository for projects and exercises of the Udacity nanodegree program <AI for Trading>

airspace-hugo

airspacetest

algorithmictrading

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

eigen-portfolio

Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks to construct an optimized diversified intelligent portfolio.

eigenportfolios

In this project, we will explore the usage of Principal Component Analysis to model market behavior within an industry. Furthermore, we will explore the interpretation of top eigenvectors as portfolios to create trading strategies.

machine-learning-momentum-trading-

Momentum following strategies based on Neural Network Models and optimal execution cost via Implement Shortfall minimization using Volume Predictions and VWAP targeting

meghna-hugo

meghna-hugo1

meghnatest

Fork the website

mitx-6.86x-machine-learning

Python code written for MIT's Machine Learning course offered on edX

ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

momentum-ai-machine-learning-course

Momentum AI course in machine learning

my-full-trading-bot

This is a full trading bot, the readme will guide you on how to set it up

nyu_machine_learning_in_finance

The specialization provides the knowledge and practical skills necessary to develop a strong foundation on core paradigms of machine learning, with a focus on applications of ML to various practical problems in Finance

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

quant-trading

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

quantitative-investing

MGT 595 coursework, Fall 2020

quanttrader

Backtest and live trading in Python

research_public

Quantitative research and educational materials

slow-momentum-fast-reversion

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_analysis_for_quant

Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

thepassiveinvestor

Passive Investing for the Average Joe

trading-with-momentum

Implemented a momentum trading strategy and tested if it has the potential to be profitable. I worked with historical data of a given stock universe and generated a trading signal based on a momentum indicator; computed the signal to produce projected returns.

trading-with-momentum-1

Implement a momentum trading strategy in Python and test to see if it has the potential to be profitable