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Finance & Research

Quant Lab

Backtests trading rules with fees, slippage and missed fills, reporting expectancy, drawdown and out-of-sample results.

Our review

4/5our rating

Realistic cost modeling is what most backtests skip.

Our rating and review are written from the public description only. We have not run this bot.

Template description

A research and backtesting desk for small trading teams. It tests your trading rules on historical data with fees, slippage and missed fills, reports win rate against break-even, expectancy, drawdown and out-of-sample results, and calls out overfitting honestly. It never places live orders.

From the public template page at x.ai/bot/WXj9oP6UZm9Jhw6EdiCri.

Details

Shared by
@0xxenonicle on X, Nov 1, 2026
Listed
Nov 2, 2026
Popularity
0 on the source post (likes + 2×reposts + 2×quotes + replies + bookmarks, counted Nov 14, 2026)

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