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Performance

ⓘ How this book is constructed

Does the swarm actually make money? A mechanical long-short book — every scored lean followed (+1 bullish, −1 bearish), equal-weight, daily-rebalanced — daily-marked as a fully-funded, total-return curve against passive benchmarks, for both the out-of-sample backtest and the growing live ledger.

performance: as of 2026-10-14

Invested +99.6% of reference days (idle cash earns 0) · net of 10 bps/side · total-return (dividend + split adjusted).

Out-of-sample window 2025-07-03 → 2026-06-29.

SeriesTotal returnAnnualizedSharpeMax drawdownHit rateN
Strategy (long-short EW)+46.1%+47.0%1.86-9.6%65%292
EW universe (buy and hold)+70.3%+71.7%2.90-9.5%——
NVDA (buy and hold)+22.5%+22.9%0.76-20.2%——
SOXX+153.6%+157.5%2.56-15.8%——
QQQ+30.8%+31.4%1.60-12.0%——
Eli Lilly (buy and hold)+58.7%+59.8%1.41-23.2%——
Boeing (buy and hold)-0.6%-0.6%0.14-25.0%——
Broadcom (buy and hold)+36.3%+37.0%0.91-28.7%——
Amazon (buy and hold)+7.5%+7.6%0.39-21.7%——
Alphabet (buy and hold)+97.5%+99.7%2.47-20.4%——

How to read this

  • Mechanical strategy — every scored lean is followed, no discretion, no cherry-picking. The rule is fixed and disclosed.
  • Total-return, apples-to-apples — the strategy and all four benchmarks use dividend + split-adjusted closes on the same NYSE reference calendar and window, with the same forward-fill for missing (foreign-holiday) days. Net of 10 bps/side transaction cost.
  • Fully-funded — idle cash earns 0 on days nothing is open (see the invested fraction), so Sharpe is apples-to-apples with the benchmarks.
  • Annualized return and Sharpe are withheld until the curve spans ~6 months — annualizing a short sample is meaningless even when N is large.
  • Out-of-sample backtest — weights are fit on an earlier window and only applied out-of-sample; it can only replay price-derivable signals on today's surviving company universe (survivorship bias biases it up). Full-swarm accuracy accrues live.