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A simple stock optimizer I created for a Computational Finance homework. I used some finance tools within MATLAB which made this much easier. The risk-free rate can be changed and there can be multiple ways of doing, such as maximizing return for an amount or risk, or having the highest Sharpe Ratio possible.

active 2025-03-03 → 2025-03-06 (UTC)

Complete coverage27,489 / 27,489 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-03 (UTC)
Events
5
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 4 days from 2025-03-03 to 2025-03-06. Pushes: 3 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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tarunkandra13300

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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.