Learn · Trading Data
Understand your trading data
A journal becomes useful when it helps you distinguish signal from noise. These guides explain the metrics, samples, comparisons, and uncertainty behind that job.
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What is a trading edge?
An edge is positive expectancy across enough relevant trades, not a memorable streak or a borrowed setup list.
Read the pillar guide →Edge & setups
Find what your own history supports instead of borrowing someone else's best setup.
What is a trading edge?Strategy edge, behavioral edge, expectancy, and the role of sample size. Which trading setup actually wins?Rank setups from your own record instead of generic best-setup lists. Long vs short: which are you better at?Compare direction performance instead of assuming your preferred side is your stronger one. The best time of day to tradeFind your own time-of-day pattern instead of assuming the market's average is yours.
Metrics & uncertainty
Know what a number answers, what it does not, and how much evidence sits behind it.
Profit factor vs expectancyTwo profitability metrics that answer different questions. How many trades before patterns emerge?Why early signals are noisy and what improves as the sample grows. What uncertainty ranges mean in a trading journalRead a range around an estimate instead of treating one number as truth. What “AI” should mean in a trading journalSeparate fluent narration from evidence-backed pattern measurement.
Reading journal evidence
Use the shape of your record to see clustering that a trade list hides.