Why a profitable backtest can still fail live
Execution costs, data quality, selection bias, regime change and behavioural inconsistency can turn an attractive historical result into a fragile live system.

Our insight library focuses on the questions that frequently determine whether a strategy, research view or risk process survives outside the spreadsheet. Each topic is written to clarify the decision, not merely describe the market.
Execution costs, data quality, selection bias, regime change and behavioural inconsistency can turn an attractive historical result into a fragile live system.
Expiry sessions combine time decay, dealer positioning, liquidity shifts and rapid gamma changes. Context matters more than direction alone.
A robust process defines acceptable loss, exposure, escalation and recovery rules before choosing the instrument or trade structure.
Conflicting indicators often reveal that they are measuring different time horizons or market dimensions rather than proving one is wrong.
Averages can conceal concentration, sequence risk and extreme outcomes. Distribution, consistency and worst-case behaviour deserve equal attention.
Every additional parameter can improve historical fit while reducing future reliability. Simpler rules often survive change more effectively.
The same entry and exit logic can produce very different outcomes depending on capital allocation, correlation and loss-recovery assumptions.
A good dashboard prioritises decisions, thresholds and exceptions. More data is not always more clarity.
Use each topic as a review prompt for your own process. Ask which assumptions apply, what evidence is missing, how the conclusion changes across regimes and what operational rule would reduce the identified risk. Insights become valuable when they lead to a specific improvement in behaviour, measurement or control.