Research, testing & risk visibility
Bring strategy rules, data and operating evidence into a reviewable workflow. Scope research tools and risk visibility around the questions your team needs to answer, with assumptions visible alongside the output.
Illustrative research process. Historical or simulated outcomes do not establish future performance.
01 / SCOPE
Useful research starts with a clear question and an identified dataset.
Scope data collection, validation and storage with instrument identifiers, timestamps and gap handling. Define the backtest's decision timing, fill assumptions and transaction costs. Keep strategy versions and configurations with each run so the result can be traced to its inputs.
Build parameter comparisons, event replay and paper or demo workflows suited to the strategy. Record how parameters were selected and which data was used. Separate exploratory runs from reserved evaluation periods, and document where simulated behaviour differs from the intended execution environment.
02 / SCOPE
An operator needs both the intended action and the observed account state.
Scope account and instrument exposures, position limits, stop conditions and operator alerts. Specify the inputs each check relies on, stale-data behaviour and what a stop actually does: block new orders, request cancellations or trigger an explicitly authorised exit workflow.
Track fills, fees, funding and realised results using agreed calculation conventions. Flag missing records and reconciliation differences instead of presenting incomplete totals as final. Alert routing should identify the condition, affected account and expected operator response.
FROM BRIEF TO HANDOVER
Agree the research objective, relevant instruments and evidence needed to judge the software's behaviour.
Document data sources, execution modelling, cost inputs and the limits of each testing environment.
Deliver repeatable runs, comparative reports and traceable links between signals, orders and results.
Review known gaps and verify controls separately from any assessment of the underlying trading strategy.
Software tests and operational controls do not guarantee trading returns. Live access, deployment and operating limits are agreed separately.
BEFORE WE BEGIN
No. Historical tests and paper or demo runs have limitations and do not prove future results or live execution quality.
No control eliminates market losses. The scope defines which conditions the software can detect and which responses it may attempt.
Yes, subject to access and usage rights. Start with its format, coverage, known gaps and the calculations you need.
CONNECTED SERVICES
YOUR NEXT STEP
Share the market, platform, existing system and behaviour you need. Please do not include credentials or account secrets.
