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troid's research · tearsheet

A full tearsheet on a strategy whose holdout expectancy is +0.008R. Every metric below is MEASURED and inside noise. Published because that is what noise looks like when someone shows you all of it.

78 closed trades on BINANCE:BTCUSDT 4h, 2026-02-07 to 2026-09-23. Daily P&L on the $100,000 quota, days without an exit count as zero, 365 periods a year, sums not products. Source: journal.csv in the repo. Not financial advice.

Hypothetical performance

These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.

troid's own strategy shows no statistical edge.

troid-shadow-1
7 Feb, 2026 - 23 Sep, 2026

Periods/Year: 365 • RF: 0.0% | Generated by QuantStats (v. 0.0.81)


2026-09-23T17:33:02.552246 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:02.655371 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:02.757000 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:02.872212 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:02.977478 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:03.084609 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:03.196180 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:03.296733 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:03.471472 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:03.574974 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:03.715299 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
2026-09-23T17:33:03.863793 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/
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troid is a free informational tool, not financial or investment advice. troid does not place trades or publish trade signals. Its shadow account is a simulated strategy, shown only after trades close. Prop-firm rules change without notice — verify every number with the firm before trading. troid is an independent affiliate of the firms it compares and earns a commission on purchases through its links; this does not affect the calculations or comparisons. Crypto Fund Trader does not own or operate this website and is not responsible for its contents. It is owned by troid, an independent marketing affiliate.

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