Trading Analytics

Performance Dashboard

A single live view of results, risk and system health.

Analyze My Trading Results

Live results diverge from backtests for reasons that are usually findable: costs, timing, sizing, or an edge that has decayed. Attribution tells you which, and therefore what to fix.

On a performance dashboard engagement this means starting from what you already have — an idea, a spreadsheet, a running system, or a set of results that do not add up — and working from there rather than insisting on a rebuild. Where the honest answer is that the work is not worth doing, that is what you will be told.

What you get

  • Attribution of live-versus-backtest divergence to specific causes
  • Execution quality analysis: slippage, timing, fill rates
  • Strategy deterioration monitoring with defined review triggers
  • Reporting dashboards for you, your partners or your investors

How the work runs

Step 1

Scope

A short call and a written scope: what the system must do, what data it needs, what counts as done. Fixed price where the scope allows it.

Step 2

Build

Work in reviewable increments, with running code you can see rather than a status update. Assumptions are surfaced as they arise, not at the end.

Step 3

Test

Independent testing against the acceptance criteria agreed in the scope, including the failure cases.

Step 4

Handover

Source code, documentation and a walkthrough. You own the result and can maintain it without us.

Tell us what you are trying to build

Describe the problem and we will tell you plainly whether we can help, roughly what it would take, and what it would cost. If it is not a fit, we will say so.

Analyze My Trading Results