Trading expectancy is a specific Trading coordinate in the Bitcoin knowledge graph. In practical terms, it identifies the subject described here: Average expected result per trade from win rate, average win, average loss and costs. This definition is narrower than promotional usage and should be read together with the implementation, date and evidence attached to the entry.
Trading expectancy is best understood as part of a system rather than as an isolated definition. Its related coordinates show the mechanisms, incentives and historical records that give the term practical meaning.
Trading expectancy describes how participants value, trade or obtain exposure to bitcoin. Market behavior can affect adoption and mining economics, but it does not rewrite consensus rules. Price evidence and protocol evidence answer different questions.
Understanding Trading expectancy helps distinguish a verifiable Bitcoin mechanism or historical record from slogans, products and market narratives.
Primary or authoritative records make these details checkable: expectancy per trade = win probability × average win minus loss probability × average loss · the same currency or R unit must be used throughout · commissions, spread, slippage and rejected fills belong in the sample. They should be verified before using the coordinate in analysis.
The practical limit is: positive historical expectancy does not guarantee the next trade or future regime; a small or repeatedly tuned sample exaggerates precision; expectancy alone does not describe drawdown, ruin risk or outcome sequence. A definition, office, chart pattern or published claim is not by itself a prediction or Bitcoin consensus rule.
For the clearest picture, read this entry together with Risk–reward ratio, Backtesting, Position sizing, Risk of ruin. The reverse links also lead from Risk–reward ratio, Risk of ruin, Kelly criterion, Overtrading.