Bedrock Algorithms

Backtests

Proof of
work

Select a system to see its complete performance record against its own benchmark. Every figure is hypothetical and net of costs. The rules that produced them are not published — see why.

§ Select a system 01 live · further systems in research

1999-03-112026-08-10 · 6,896 sessions · benchmark Nasdaq-100 · net of commission, spread and financing

§ 01 Summary statistics Full period · net of costs
Measure COS Nasdaq-100 Difference
Annualised return (CAGR) 22.78% 10.85% +11.93 pts
Annualised volatility 22.2% 26.9% −4.7 pts
Sharpe ratio 0.94 0.44 +0.50
Sortino ratio 1.35 0.65 +0.71
Maximum drawdown −35.3% −83.0% 47.7 pts shallower
Return / max drawdown (MAR) 0.65 0.13 4.9×
Time below a prior high 89% 93%
Growth of $10,000 $2,747,418 $167,719 16.4× the index
§ 02 Growth of $10,000 Logarithmic scale
COS Nasdaq-100 total return
Shaded — out of sample, 2016 onward

Log scale: equal vertical distance is equal percentage change. Both series start at $10,000 on 1999-03-11.

§ 03 Drawdown Loss from prior peak

The difference is the depth.

The index lost 83.0% in the dot-com unwind and did not reclaim that high for more than twelve years. The worst comparable loss for COS was 35.3%. Return is what gets advertised; this is the chart that decides whether an investor is still holding the position when the return arrives.

COS Nasdaq-100
Underwater curve
§ 04 Calendar-year returns COS only
Positive year Negative year
1999 and 2026 are partial years
§ 05 Out of sample 2016 onward

The decade the rules never saw.

Every parameter in COS was chosen using data through 2015 and then frozen. The period below was held back entirely — it was never used to select, tune or filter anything. It is the closest thing a backtest has to an honest forward test, and it contains a bear market, a crash and a melt-up.

Measure · 10.6 years out of sample COS Nasdaq-100
Annualised return 27.21% 20.13%
Sharpe ratio 0.99 0.83
Maximum drawdown −31.1% −35.1%
Growth of $10,000 $127,493 $69,548
§ 06 Recent months COS vs Nasdaq-100

The last two months.

The two most recent complete months, measured against the index on the same dates and net of the same costs.

§ 07 Method and disclosure What is and is not shown

01

Why the rules are not published

The edge in a systematic strategy is the ruleset. Publishing it transfers that edge to anyone who reads the page and, if enough capital follows the same signal, erodes it for the clients who paid for it. So this page shows the outcome in full detail and the mechanism not at all. Verify us on results, cost assumptions and out-of-sample discipline — the things that can be checked without giving the strategy away.

02

How the test was constructed

Daily data across 6,896 sessions from 1999-03-11 to 2026-08-10. Commission, spread and financing are deducted from every position, and returns are reported net. The benchmark is the Nasdaq-100 total return with dividends reinvested, measured on identical dates. Sharpe and Sortino are computed against the prevailing short-term Treasury bill rate as the risk-free reference.

03

Where it was stress-tested

Beyond the held-out decade, the research ran parameter sensitivity sweeps, bootstrap resampling of the return series, decay tests across sub-periods, and a cost sensitivity analysis that identifies the execution price at which the edge stops existing. Results that only worked at one parameter setting were discarded rather than reported.

04

The limits of this page

These are hypothetical results computed with hindsight over a period in which US large-cap technology was the best-performing asset class in the world. No backtest can reproduce a live fill, an outage, a halt, or a regime it has never encountered. Treat every figure here as the ceiling of what to expect, not the estimate.

Access

The record is the argument. Judge it, then talk to us.

If the drawdowns above are ones you could hold through, the next step is a short conversation about your account and whether this belongs in it.

See pricing