"Nicks Team" repository for UWA Qfin Project Semester 2, 2021.
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Updated
Sep 12, 2021 - HTML
"Nicks Team" repository for UWA Qfin Project Semester 2, 2021.
"Doms Team" repository for UWA Qfin Project Semester 2, 2021.
A project to test momentum strategy on F&O listed stocks in India.
Explore momentum investing strategies in the Nifty 500 universe using two approaches: absolute returns and volatility-adjusted returns. Learn about survivorship bias, dataset specifics, and the impact of diversification on returns and risk. Discover the nuances that contribute to successful momentum investing within this repository.
"Buy Low Sell Lower" repository for UWA QFin Project Semester 2, 2021.
An implementation of momentum strategy described in book 'stocks-on-the-move' in Indian Context
Inidcators, strats, and tools written in pinescript for use with TradingView
Earnings Momentum Strategy through analysing earnings calls, earnings reports, and technical analysis
Follow the momentum or not: Evaluation of Investment Strategies
"Trade Winners" repository for UWA Qfin Project Semester 2, 2021.
Python code for a quantitative momentum investment strategy that selects high-momentum stocks from the S&P 500 index and calculates recommended trades for an equal-weight portfolio. Implements an alternative strategy based on the 80-20 principle.
This repository contains my projects centered around quantitative investing.
MGT 595 coursework
An application of high quality and low quality momentum trading on the S&P500, using the IEX Cloud API.
Crypto Trading Bot - Momentum
Data Analysis on NSE indices
Capstone project: neue fische Data Science Bootcamp (winter 2019)
Comparative study between statistical and machine learning based strategies for high frequency trading of assets
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