Master your trading journal
A journal you only glance at is just a diary. This guide teaches you what every TradeMind metric means, why it matters, and exactly which lever to pull to get better — whether you want a higher win rate, better risk-to-reward, or sharper playbooks.
Metrics don't improve you. Acting on them does.
TradeMind tracks 30+ metrics across performance, risk, and psychology. But a number you don't act on changes nothing. So this page is organized around what you want to improve — pick a goal, see which metrics drive it, and take the specific action that moves the needle.
Start with a goal
Four things every trader is trying to improve. Find yours, and follow the metrics it points to.
I want a higher win rate
Win rate is the percentage of trades that close green. It is the most-watched and most-misunderstood number in trading. A high win rate with tiny winners and huge losers still blows up an account. Treat win rate as a signal about the quality of your entries — not as a scoreboard.
Metrics to watch
- Win Rate — your baseline hit rate
- Setup Type performance — win rate broken down per setup
- Mistake Categories — how much each mistake drags your rate down
- Time-of-Day & Day-of-Week — when you actually win
- Rules Followed — your win rate on disciplined vs. broken trades
The trap
Chasing win rate by cutting winners early and holding losers because you want to "be right." That inflates the percentage while quietly destroying your expectancy.
Do this
- 1Segment win rate by Setup Type. Keep the setups above ~50%, refine or cut the rest.
- 2Filter by Mistake Category to see how far your win rate falls on Revenge Trades and FOMO Entries — then write a rule that blocks them.
- 3Check Time-of-Day. If your first 30 minutes after the open is a 30% win rate, stop trading the open.
I want better risk-to-reward
Risk-to-reward (R:R) compares the size of your average win to your average loss, measured in R — where 1R is the amount you risked on the trade. Expectancy ties R:R and win rate together into one number: the profit you can expect from the average trade. This is where most traders find their real edge.
Metrics to watch
- Risk/Reward Ratio — average win size ÷ average loss size
- Avg Win (R) and Avg Loss (R) — your real reward and risk per trade
- Expectancy — (Avg Win R × Win%) − (Avg Loss R × Loss%)
- MFE (Max Favorable Excursion) — profit that was available to you
- MAE (Max Adverse Excursion) — how far trades went against you first
The trap
Planning a great 3R trade and then taking profit at +0.8R out of fear. Your MFE shows the profit you left on the table; your Avg Loss (R) shows whether you actually honor your stop.
Do this
- 1Compare Avg Win (R) against MFE. If MFE averages 2R but you bank 0.9R, you exit too early — widen targets or trail your stop.
- 2Compare Avg Loss (R) against −1R. If it is −1.5R, you are letting losers run past your stop. Fix the stop discipline before anything else.
- 3Track Expectancy per setup and only scale the setups whose expectancy is positive.
I want sharper playbooks & strategies
A playbook is a defined setup with clear rules. The whole point of journaling by playbook is attribution — knowing which strategy actually makes money so you can do more of it and retire the rest. Without it, a winning strategy and a losing one blur into one fuzzy P&L.
Metrics to watch
- Playbook Win Rate & P&L — performance per strategy
- Playbook Expectancy — expected R per trade, per strategy
- Trades per Playbook — whether the sample is big enough to trust
- Setup Type — the specific pattern inside each playbook
- Backtesting — historical proof before you risk live capital
The trap
Running six strategies casually so none ever gets enough trades to judge — or killing a playbook after five trades when the sample is pure noise.
Do this
- 1Rank playbooks by expectancy × frequency. That product, not raw win rate, is your true edge.
- 2For a losing playbook, filter Rules Followed = No to separate a bad strategy from bad execution.
- 3Validate every new idea in Backtesting first, then retire any playbook with negative expectancy over 30+ trades.
I want consistency & to protect capital
Surviving is the prerequisite for compounding. These metrics tell you whether your equity curve is smooth and whether your position sizing could one day ruin you. A 50% drawdown needs a 100% gain just to break even — protecting the downside is the highest-leverage habit there is.
Metrics to watch
- Max Drawdown — your largest peak-to-trough decline
- Recovery Factor — net profit earned per unit of drawdown
- Sharpe & SQN — risk-adjusted return and overall system quality
- Risk of Ruin & Kelly % — whether your size is survivable or a gamble
- Loss Streaks — runs of red that test your discipline
The trap
Ignoring drawdown until it is a crater, and sizing up after a hot streak right before variance mean-reverts.
Do this
- 1Define your worst tolerable drawdown in advance and size down as you approach it.
- 2Sanity-check size with Kelly % and Risk of Ruin. If Kelly says 2% and you risk 10%, you are gambling, not trading.
- 3After a loss streak, cut size until the data says your edge is back — not until your ego recovers.
The complete metric glossary
Every number TradeMind shows you, in plain English: what it is, why it matters, and how to read it. Grouped by family.
Performance & Profitability
The headline numbers — how much you make, how often, and how lopsided your wins and losses are.
Total P&L
Cumulative profit or loss across all trades, after fees.
Why it matters: The bottom line. Everything else exists to protect and grow it.
How to read it: The trend matters more than the number. A rising, smooth curve beats a higher but jagged one.
Win Rate
winning trades ÷ total tradesThe percentage of trades that close in profit.
Why it matters: A measure of entry quality — but only meaningful when paired with risk-to-reward.
How to read it: Useless on its own. 40% with 2.5R winners beats 70% with 0.8R winners.
Profit Factor
gross profit ÷ gross lossHow many dollars you earn for every dollar you lose.
Why it matters: A single-glance health check on whether the system makes money.
How to read it: Above 1 is profitable, above 1.5 is solid, above 2 is strong.
Total R
The sum of every trade’s R-multiple (result ÷ initial risk).
Why it matters: Measures performance independent of position size, so you can compare across accounts.
How to read it: A steadily rising Total R means your edge is compounding regardless of size.
Avg Winning / Losing Trade
The average dollar result of your winners and of your losers.
Why it matters: Exposes the asymmetry between your wins and losses.
How to read it: You want average winners comfortably larger than average losers.
Largest Profit / Loss
Your single best and single worst trade.
Why it matters: Outlier risk. One oversized loss can erase months of disciplined gains.
How to read it: If your largest loss dwarfs your average loss, you have a risk-control problem.
Avg Trade Duration & Trades/Day
How long you hold and how often you trade.
Why it matters: Reveals overtrading and whether your holding period matches your style.
How to read it: A spike in trades/day on red days is a classic revenge-trading tell.
Risk & Reward
Everything measured in R — the language that lets you compare trades of any size on equal footing.
Risk/Reward Ratio
avg win size ÷ avg loss sizeHow big your typical winner is relative to your typical loser.
Why it matters: The lever that lets a sub-50% win rate still be highly profitable.
How to read it: Aim for ≥ 1.5. Below 1 means you need a very high win rate to survive.
Expectancy
(Avg Win R × Win%) − (Avg Loss R × Loss%)The average profit, in R, you can expect from any single trade.
Why it matters: The one number that combines win rate and R:R into "is this worth doing?".
How to read it: Must be positive. This is the metric to rank and scale strategies by.
Avg Win (R) / Avg Loss (R)
Your average winner and loser expressed in R-multiples.
Why it matters: Shows whether you let winners run and cut losers at plan.
How to read it: Avg Loss should sit near −1R. Drifting to −1.5R means stops are being ignored.
MAE — Max Adverse Excursion
The average worst unrealized loss a trade reached before closing.
Why it matters: Tells you if your stops are too tight (or too loose) versus where price actually goes.
How to read it: Winners with deep MAE suggest your entries are early or stops too tight.
MFE — Max Favorable Excursion
The average best unrealized profit a trade reached before you exited.
Why it matters: Quantifies the profit left on the table by exiting early.
How to read it: A big gap between MFE and Avg Win (R) means your targets are too conservative.
Drawdown & Streaks
The pain side of the ledger — how deep your losses dig and how long the red runs last.
Max Drawdown ($ and %)
The largest decline from an equity peak to the following trough.
Why it matters: The real test of whether you can stay in the game psychologically and financially.
How to read it: Recovery math is brutal: a 50% drawdown needs a 100% gain to get back to even.
Recovery Factor
net profit ÷ max drawdownHow much profit you earn for each unit of drawdown endured.
Why it matters: Reward-per-unit-of-pain. Higher means a more efficient, less stressful curve.
How to read it: Above 3 is healthy; near 1 means you are barely paid for the risk you take.
Longest Win / Loss Streak
Your longest run of consecutive winners and of consecutive losers.
Why it matters: Frames variance so a normal losing streak does not feel like a broken system.
How to read it: Plan your sizing to survive a loss streak twice as long as your worst so far.
System Quality & Risk Management
The advanced, risk-adjusted view — how good your system is and whether your sizing is survivable.
Sharpe Ratio
Return earned per unit of total volatility.
Why it matters: Rewards smooth, consistent returns over lucky, lumpy ones.
How to read it: Above 1 is good, above 2 is excellent for an active trader.
Sortino Ratio
Like Sharpe, but only penalizes downside volatility.
Why it matters: Upside swings are not risk — Sortino stops punishing you for them.
How to read it: Higher than your Sharpe is normal and healthy.
SQN — System Quality Number
expectancy ÷ stdev of R-multiples (scaled)A single score for how reliable and repeatable your edge is.
Why it matters: Combines expectancy and consistency into one quality grade.
How to read it: On the Van Tharp scale: ~2 is average, 2.5–3 good, above 3 excellent.
Recovery & Calmar
Calmar = annual return ÷ max drawdownReturn measured against the drawdown it cost to earn.
Why it matters: Keeps you honest about returns that came with terrifying equity dips.
How to read it: Higher is better; rising Calmar means smoother growth.
Risk of Ruin
The probability of depleting your account given your edge and risk per trade.
Why it matters: The ultimate survival metric — it prices in your position sizing.
How to read it: You want this as close to zero as possible. Anything material means size down.
Kelly %
The mathematically optimal fraction of capital to risk per trade.
Why it matters: A ceiling on aggression derived from your own win rate and payoff.
How to read it: Most professionals trade a quarter to half Kelly to smooth the ride.
Value at Risk (95% / 99%)
The loss you should not exceed on a normal day, at a confidence level.
Why it matters: Turns "how bad could today get?" into a budgetable number.
How to read it: Use it to cap daily exposure before you place the first trade.
Journaling Inputs
The data you log per trade. Every metric above is only as honest as these fields. Garbage in, garbage out.
Strategy, Setup & Timeframe
The named playbook, the specific pattern, and the chart timeframe.
Why it matters: Powers all per-strategy attribution and lets you compare like with like.
How to read it: Be consistent with names — sloppy tagging makes playbook analysis useless.
Market Context
Condition (trending, ranging, volatile) and volatility at entry.
Why it matters: Reveals which regimes your edge actually works in.
How to read it: A strategy that only wins in trends should be paused when markets chop.
Emotion & Confidence
The emotion you felt and a 1–10 confidence rating per trade.
Why it matters: Connects your psychology to your results — the hidden driver of most losses.
How to read it: Look for the emotions and confidence levels that precede your worst trades.
Mistake Category & Rules Followed
A tagged mistake (or none) and whether you followed your own rules.
Why it matters: Separates a flawed strategy from flawed execution — the most important distinction in trading.
How to read it: If broken-rule trades lose and followed-rule trades win, the system is fine — you are the leak.
Notes, Reflection & Screenshots
Free-form reasoning, a post-trade review, and chart images.
Why it matters: The qualitative layer that explains the numbers and makes lessons stick.
How to read it: Write the reflection the same day, while the trade is still emotionally fresh.
Slice your data to find your edge
The same trades tell a different story depending on how you cut them. These segments turn a flat P&L into a map of exactly where you make and lose money.
By Symbol
Find the instruments you genuinely trade well — and the ones quietly bleeding your account.
By Time & Day
Surface your best and worst hours and weekdays. Most traders have one session that ruins their stats.
By Direction
Compare long vs. short. Many traders are a one-direction specialist without realizing it.
By Duration
See whether scalps, day trades, or swings actually pay you, and lean into the one that does.
By Market Condition
Know whether your edge lives in trends, ranges, or volatility — then trade only your regime.
By Emotion & Mistake
Quantify what FOMO, revenge trades, and tilt actually cost you in dollars, then build rules to stop them.
Putting it together: a weekly routine
Five habits that turn raw trade logs into steady improvement. Do them every week and the metrics start working for you.
- 1Log every trade the same day — price data plus emotion, mistake, and a one-line reflection while it is fresh.
- 2Weekly, open your equity curve and drawdown first. Are you growing smoothly or surviving spikes?
- 3Segment win rate and expectancy by setup. Write down your best and worst playbook of the week.
- 4Pull exactly one leak — a mistake category or a losing time-of-day — and write a single rule to fix it.
- 5Monthly, re-rank your playbooks by expectancy. Scale the winners, retire the losers, and repeat.
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