Data provenance
We identify the data used and flag visible gaps that could change how a strategy appears to behave.
Backtesting
Inspect data quality, transaction costs and rule behaviour before drawing conclusions from a historical simulation.

We configure historical tests for a defined strategy using available market data, explicit order assumptions and a recorded version of the rules. The work normally moves from data review to test configuration, repeatable runs and an interpretation session over several weeks. At the end, the client receives test settings, run outputs and a note of material limitations, including data gaps and simulated execution. Historical results are not a reliable prediction of future trading outcomes.
A useful backtest begins with assumptions written down before its charts are reviewed.
We identify the data used and flag visible gaps that could change how a strategy appears to behave.
We record how orders, fees and delays are represented so simulated trades are not mistaken for broker confirmations.
We preserve settings and rule versions so a later change can be compared with the earlier test.
Historical data cannot fully capture future liquidity, unexpected interruptions or every price available when an order reaches a broker. Repeatedly adjusting rules to fit one dataset can also make a test look more persuasive than it is. We present the assumptions alongside the outputs and encourage a separate review of how the strategy behaves outside the period used to develop it. The decision to trade, and the risk that follows, remains with the client.
Tell us what you want to test and which data or prior results you already have.
Ask about backtesting