CQF_Trading_Competition
Unverified Other strategy on Options by JackMansfield2019. BotFinder score 18 out of 100.
Cornell Quant Fund 2022 Trading competition Options Case winner
Source: github
BotFinder analysis pending.
CQF_Trading_Competition
CQFTradingCompetition Options Case: Strategy 1 1. implment pyvollib's implied volatility calulation 2. grab Parameters for Black scholes 3. use Black shcoles 4. if Black scholes esimated price 0 short that call 4. after 2 days of trading: buy 1000 units of underlying every minute Results Total Trades: Trades: 1106 usage python3 backtestingengine.py
⚠ No verified equity curve — no track-record source connected.
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Verification ledger
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Recalculated at each data collection. Transparency means showing the bad weeks too.
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)