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https://github.com/AttractiveDog/hacknova-team-17 ppt, charts and code are all in the github repo Team Members: Vedansh Mishra Nidhi Rani Janhavi Sahani Prachi Singh
We wanted to build a project that goes beyond simple stock price tracking and focuses on what actually matters in portfolio decisions: risk, return, resilience, and explainability.
HackNova-1.0
#ml project
Navigating the balance: Mapping risk against reward
**"Quant engine analyzing 15 NSE stocks — optimizing portfolios, flagging trade signals, and beating the Nifty 50 with data, not gut feel."**
Hack the Risk, Maximize the Return
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Our project demonstrates how data driven strategies can lead to smarter and safer investment decisions
From Market Data to Smart Investment Decisions.
Financial Stock Analysis
By integrating a 50/200-day SMA trend-filter with Mean-Variance Optimization, we proactively made the result better
Full equity analysis pipeline on 15 NSE stocks: risk metrics, SMA signals, ML classifier (Gradient Boosting 56.3%), dual portfolio construction & live Telegram alerts via n8n automation.
Hacknova 1.0- equity risk & returns challenge. Made by team Federico Valverde
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