What this cluster covers
This hub is the how-to index for numbers you can track in a trading journal. It is not a glossary. Definitions live under /what-is/. Each child page here assumes you already know the word and need to calculate it, read it without fooling yourself, and keep it up to date as you log. Mantis computes the stats from the trades you record on iPhone; these pages tell you which stats matter and why.
Performance metrics tell you whether the book pays: win rate, expectancy, profit factor, average win versus average loss, Sharpe ratio, Calmar ratio, Sortino ratio, and recovery factor. Risk metrics tell you how expensive the path is: R-multiple, max drawdown, risk-reward, market exposure, correlation, and volatility. Activity metrics tell you whether you are working the plan or just busy: trade frequency, holding time, and sector allocation.
A journal that only tracks win rate will congratulate a scalper who is slowly dying on oversized losers. A journal that only tracks drawdown will scare a trend follower out of the only trades that pay. This cluster exists so you can pick the next number with intent instead of copying an influencer’s dashboard.
How to choose within it
If you cannot say whether the strategy has positive expectancy, start with expectancy, then average win/loss and profit factor. Win rate comes after those, never before. If the account feels fine until it suddenly does not, start with max drawdown, R-multiple, and recovery factor. If the problem is overtrading or holding winners too short, start with trade frequency and holding time.
Match the metric to the style. Sharpe and Sortino care about the path of returns; they mean more for a book that is always in the market than for ten trades a month. Calmar and recovery factor care about the worst hole and how you climbed out. Correlation and sector allocation matter when you think you are diversified and the tape is one trade in five tickers.
Do not track everything on day one. Pick one performance number and one risk number, log until the sample is real (tens of trades, not three), then add a third. A dashboard of seventeen red and green tiles is how people stop looking. The child pages below are written to be used one at a time.
If you still need the formula explained like a textbook, open the matching /what-is/ page first, then return here for the how-to. This hub will not teach vocabulary. It will tell you how to live with the number in a journal.
What each child page answers
Win rate, expectancy, profit factor, and average win/loss pages answer: how to compute the number from closed trades, which sample size makes it less of a coin flip, and how Mantis surfaces it so you are not retyping a spreadsheet every Sunday. Sharpe, Calmar, Sortino, and recovery factor pages answer: what the ratio is sensitive to, when it is the wrong scoreboard for your style, and how to read it next to drawdown rather than instead of it.
R-multiple, max drawdown, and risk-reward pages answer: how to size the unit of risk, how to measure the worst peak-to-trough, and how planned R compares to realised R. Market exposure, correlation, and volatility pages answer: whether you are actually in one bet, how positions move together, and whether a quiet week was skill or a dead tape.
Trade frequency, holding time, and sector allocation pages answer: whether you are overtrading, cutting winners early, or concentrating risk in one group while telling yourself you are diversified. Each page is a how-to, with the App Store path into Mantis at the bottom — not a reprint of the definition page.
Use the cards as the index. Open one guide. Track that number until you can explain last month with it. Then pick the next card. The parent trading-journals hub is one level up if you meant to choose a market or a style instead of a statistic.