Exploration is not validation
A fast research engine can reject weak ideas and compare broad parameter ranges, but it is not broker-terminal proof. Exploratory results are labelled as such and cannot become a customer claim by themselves.
JPTC publishes selected methods and aggregate findings from strategy research. Exploratory simulations, broker-terminal tests and customer release decisions are labelled separately so one test cannot be mistaken for another.
Published by JPTC Research Team under the JPTC editorial policy.
Read the full methodologyA fast research engine can reject weak ideas and compare broad parameter ranges, but it is not broker-terminal proof. Exploratory results are labelled as such and cannot become a customer claim by themselves.
A serious candidate is rerun in the relevant terminal with broker data, spread, commission, swap and order behaviour recorded. A result that changes materially at this stage is rejected or returned to research.
Promising settings are checked outside the period used to select them, including difficult years and different volatility regimes. A strong recent window cannot compensate for structural failure elsewhere.
A result needs enough independent trades to be meaningful and enough activity to match the intended customer use. Very sparse files are reported as research candidates rather than presented as active customer defaults.
JPTC records why strategies fail, including trend exposure, spread sensitivity, over-filtering, recovery logic and weak out-of-sample behaviour. Failed ideas are not renamed and presented as new evidence.
Research notes can publish test windows, assumptions, aggregate trades, rejection gates and limitations without disclosing proprietary entry code or customer setfiles.
No. A backtest is a research filter, not proof of future behaviour. Broker execution, unseen periods and current market conditions can change the result.
A validated strategy has passed the documented broker-terminal and out-of-sample gates for its intended release. Exploratory simulations are never labelled as customer validation.
Yes, when the failure teaches something useful without exposing proprietary strategy logic. Rejection evidence is often more useful than another selected winning curve.