Rizwan's starred repositories
PyTrendFollow
PyTrendFollow - systematic futures trading using trend following
Stock-Options-Analysis-Tool
😱 This Python script provides a comprehensive analysis of stock options using data retrieved from Yahoo Finance. It calculates various metrics such as implied volatility, historical volatility, intrinsic value, and time value for stock options. The analysis is based on the Black-Scholes option pricing model and historical stock price data.
InvestmentsTracker
Track all of your investments in the market using this web application!
economic-dashboard
A dashboard for macroeconomic and stock market data built with Python and Dash.
awesome-systematic-trading
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
free-programming-books
:books: Freely available programming books
arbitragelab
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
numerical-methods-lecture
Numerical Methods Lecture: This repository contains the material created during the lecture Numerical Methods for Mathematical Finance.
TradingView-Machine-Learning-GUI
Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.
30-Days-Of-Python
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Stock.Indicators
Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
financial-machine-learning
A curated list of practical financial machine learning tools and applications.
algorithmic-trading-python
The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python
quantstats
Portfolio analytics for quants, written in Python
pyfolio-reloaded
Portfolio and risk analytics in Python
RRG-Dashboard
A Streamlit dashboard for creating relative rotation graphs using the OpenBB Platform.
cvxportfolio
Portfolio optimization and back-testing.