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recent
p/self-promotion
by
Chiragh
•
4mo ago
Built an AI layer for backtesting that auto-populates portfolios from natural language
... form Run in one click The problem with backtesting: - Too many tickers (296 on our platform) - Too many time periods - Analysis paralysis before you even start Now you just... ask. Real examples that work: "I want to test tech
vs
energy during 2022" AI recommends: AAPL, GOOGL, XOM, CVX Sets benchmark: S&P 500 Period: Jan 2022 - Dec 2022 Run backtest. See results. Learn. Lost a backtest? Ask why. "My crypto portfolio underperformed, what went wrong?" AI analyzes your ... ... ACTUAL results: - Entry timing issues - Correlation
blindspots
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