Strategy Lab — Results & Full Trade Log
Educational research, not investment advice. Every figure below is a hypothetical backtest — simulated results from historical data, not money that was ever traded. Backtested performance is not an indicator of future results and carries inherent limitations, including hindsight in the strategy's design. Nothing here is a recommendation to buy or sell any security. Mezan does not sell trading signals.
Strategy Lab · JunaidsQuant

One strategy survived, and here is every trade it made

Sixteen strategies tested on seven years of daily bars. Fifteen failed. The one that survived beat the S&P out-of-sample on return, risk-adjusted return and drawdown — and it did so while 95 of its holdings were delisted out from under it — some acquired, some failed — each charged out at its last traded price.

6 Aug 20268,227 symbols 4,930 delisted companies included 13,160 position-periods
Out-of-sample edge+6.5 points of CAGR over SPY, 2022–2026
OOS Sharpe0.92 vs SPY 0.77 over the same months
OOS drawdown−16.7% vs SPY −20.2%
Strategies killed15 of 16 tested
The survivor

momvol — buy what is rising and calm

Rank every liquid US stock each month by 12-month momentum minus 6-month volatility, hold the top decile, size each position by inverse volatility. Long-only, no shorts, no leverage, cash earns 0%.

In-sample · to Dec 2021

BookCAGRSharpeMax DD
momvol, inverse-vol26.0%1.12-23.8%
momvol, equal28.8%1.08-24.0%
mom12, equal (naive)28.4%0.89-25.9%
SPY buy & hold26.7%1.41-19.4%

Out-of-sample · Jan 2022 → Jul 2026

BookCAGRSharpeMax DD
momvol, inverse-vol18.1%0.92-16.7%
momvol, equal18.6%0.80-19.6%
mom12, equal (naive)12.3%0.54-22.5%
SPY buy & hold11.6%0.77-20.2%

Why this one is credible

It lost in-sample and won out-of-sample — the opposite of what an overfitted strategy does. Naive momentum (mom12) decayed exactly as a fragile result should, Sharpe 0.89 → 0.54. The risk-controlled version held.

Adding 4,930 delisted companies cost it only 1.5 points of out-of-sample CAGR. The bias was real and it was not the story.

Behaviour

It wins in bad markets and lags in melt-ups

YearmomvolSPYEdge
2019+3.4%+18.5%-15.1
2020+32.1%+18.3%+13.8
2021+30.5%+28.7%+1.8
2022-1.3%-18.2%+16.9
2023+8.3%+26.2%-17.9
2024+29.1%+24.9%+4.2
2025+29.5%+17.7%+11.8
2026 part year+20.1%+9.0%+11.1

Beats the index in six of eight years, the last of which is seven months, not twelve — both columns are measured over the same months. 2022: −1.3% against SPY's −18.2%. It gives that back in narrow mega-cap rallies (2019, 2023) — textbook low-volatility behaviour, which is why the mechanism is believable rather than coincidental.

The audit trail

Every position it ever held

13,160 position-periods across 2,073 symbols. An equity curve can hide anything; this cannot. Search a ticker, sort any column, or filter to the 95 holdings that were delisted out from under it.

Win rate

53.7%

mean +1.94%, median +0.94% per position

Best / worst

FCEL +396%  ·  EQC -91%

single position-periods, not compounded

Delisted out

95

exited at last traded price, loss charged in full

Entry Symbol Entry px Exit px Return Weight

Read the early years with suspicion

Trades run back to 2006, but coverage before 2019 is thin and 2015, 2016 and 2018 are missing entirely — too few symbols passed the liquidity screen in those months for a decile to mean anything. The headline results above cover 2019-07 → 2026-07 only. Earlier rows are shown for completeness, not as evidence.

YearPositionsWin rateMean return
20065350.9%+0.23%
20077744.2%+0.72%
20088939.3%-2.27%
20098362.7%+1.25%
20109457.4%+1.10%
201110344.7%+0.02%
201210563.8%+2.97%
201312158.7%+2.42%
201417654.0%+0.95%
20178675.6%+7.35%
201976754.1%+1.00%
20201,46457.9%+4.60%
20211,78655.9%+0.66%
20221,70951.6%+0.54%
20231,64150.8%+0.93%
20241,77655.1%+2.61%
20251,96953.5%+3.12%
20261,06148.8%+2.06%
The other fifteen

What failed, and by how much

Ranked by the share of symbols where the strategy beat simply holding the stock. The mark at the middle of each bar is 50% — break-even with doing nothing.

StrategyTrades Beats buy & hold
turtlesoup92,78728%
idnr4118,88126%
turtlesoupplus66,86425%
emacross101,41321%
continuation28,22519%
trendwave50,30619%
idnr4v229,59218%
swingtrend17,85118%
holygrail48,43318%
breakout100,22218%
meanrev11,63617%

Not a close call

With eleven attempts, the best would be expected near 53% by luck alone. The best observed was 28%. Several of them turned a profit on a majority of the symbols they traded while still losing to simply holding those same symbols — which is why “% profitable” is a vanity metric.

Also killed: the opening-range breakout (−13.1%, its 2R target filling on 1 of 73 trades) and the heavy-volume catalyst thesis, refuted when a random filter keeping the same fraction of days matched it and beat it per trade.

Known limits

What would still make this wrong