Results

Edge, after costs.

A result needs a denominator, a time window and a credible alternative. Here is what a performance ledger should expose.

Illustrative dataset / GW-S01

Placeholder figures for a 30-day synthetic study. No client performance is reported.

Illustrative performance ledger

Input observations
1.2m
Placeholder processing volume
Modelled turnover
£600k
60,000 decisions × £10
Net expected return
5.775%
After the assumed execution cost
Incremental expected value
£29,250
Against the same-volume baseline
Like-for-like comparison · same £600,000 turnover
MeasureBaselineSelected scenario
Assumed win probability52.0%54.5%
Net win payout / stake0.95×0.95×
Cost / stake0.5%0.5%
Expected return / stake0.900%5.775%
Total expected value£5,400£34,650

The return difference is +4.875 percentage points. Expected value is a model output, not realised profit. The example assumes each decision settles, a loss loses the full stake, and the stated cost applies on every decision.

How quickly does it disappear?

Probability sensitivity · unchanged turnover, payout and cost
ScenarioWin probabilityNet expected returnTotal expected value
Adverse51.5%-0.075%-£450
Central54.5%5.775%£34,650
Favourable57.5%11.625%£69,750

Break-even is 51.5385% win probability. These are chosen stress scenarios, not confidence bounds. Lower probability, limited capacity, larger fees or correlated losses can erase the apparent advantage.

Three levels of evidence.

The number gets less interesting when the conditions behind it are missing.

  1. Apparent edge

    A price or pattern differs from an estimate. It has not yet survived costs, leakage checks or a fair baseline.

  2. Tested edge

    The effect survives withheld evaluation data and sensible changes in the assumptions. Report uncertainty and the cases where it fails.

  3. Executable edge

    The opportunity remains after limits, latency, settlement and actual costs. Capacity and stop conditions matter as much as average return.