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Paper trading

Simulated trading with fake money on real prices, used to practice execution and test rules without risk.

Paper trading is useful for learning a platform and checking that a strategy's rules are executable in real time. It is less useful for judging expectancy because fills are optimistic and the emotions of real loss are absent.

A common path is backtesting, then paper trading, then very small live size. The jump from paper to live is where most people discover that psychology-driven mistakes were hiding.

Example: a trader paper-trades a strategy for two months at +0.6R per trade, then goes live at 0.25% risk. Live results run +0.3R for the first 50 trades, mostly from hesitation on entries and early exits.

Related: backtesting, trading-journal, evaluation, expectancy

See it drawn

Original diagrams for the ideas on this page. Illustrative, not real market data.

The spread of outcomes behind an expectancyA histogram of forty trades: a tall block of small losses on the left, a low spread of larger wins on the right, and a line marking the average outcome.NUMBER OF TRADES051024 LOSSES, AVG −$20016 WINS, AVG +$600EXPECTANCY +$120−$400−$200$0+$200+$400+$600+$800PROFIT OR LOSS PER TRADEexpectancy = (40% × $600) − (60% × $200) = +$120 per trade
Expectancy: the average trade. Forty trades sorted by outcome: 24 small losses and 16 larger wins. Weighting each side by how often it happens gives the average result per trade, marked here by the dashed line at +$120.

Educational only, not advice. Spotted an error? Post in Site Feedback.