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Algo-Trading-Risk-Return-Optimization

Backtesting Algo-Trading Strategies, FinTech Analysis & Portfolio Optimization: NVDA, AMD, INTC, MSI vs S&P 500 Benchmark
This Python framework performs robust backtesting and portfolio optimization of 4 tech game-changers (NVDA, AMD, INTC & MSI) vs the S&P 500 benchmark.
It entails a comprehensive fintech analysis of these 4 celebrated stocks in terms of their business performance and overall financial health over recent years.
Using the proposed set of Python open-source tools and techniques to analyze historical stock data and financial statements can help investors make more informed business decisions to predict and improve ROI.

Read More:

https://medium.com/@alexzap922/backtesting-algo-trading-strategies-fintech-analysis-portfolio-optimization-nvda-amd-intc-25c5ab5c768a

Acknowledgements

Luís Fernando Torres
BHAVIN MORIYA
Karthik Ram
Ayush Mishra

Languages

Python100.0%

Contributors

Apache License 2.0
Created April 22, 2024
Updated February 24, 2026
alva922/Algo-Trading-Risk-Return-Optimization | GitHunt