Overconfidence bias
Confidence and position size
Overconfidence means overstating knowledge or control relative to available evidence. It can encourage risk increases after wins, ignoring opposing scenarios or overstating model precision. A volume increase alone does not establish an error when it follows a previously evaluated sizing rule. Judge the reason and evidence rather than the action in isolation.
Calibration needs a defined target
Record a probability before observing the result and define the event, such as reaching +1R before −1R within a stated time. Compare forecast groups with outcomes instead of recording only “very confident”. The Brier score averages squared binary forecast errors; alone it separates neither every calibration component nor establishes profitability.
Outcomes and process
A winning run can contain information, but its meaning depends on dependence, sample size and changing conditions. Maintain limits and scheduled review instead of raising risk solely from a feeling of control. A compliant loss and a profitable breach must remain distinct when evaluating decisions and revising the policy.