Why P&L alone is a terrible feedback signal
Profitable weeks feel like validation. Losing weeks feel like failure. But P&L by itself tells you almost nothing useful about whether you're trading well — it's the output of a process you can't directly control. What you can control is the quality of your entries, the consistency of your risk, and whether you're taking the right trades at the right times.
A trader who made $800 this week because one lucky 5R winner bailed out three sloppy losses is not trading better than a trader who finished flat because they were disciplined and patient but the setups simply didn't materialise. The metrics below let you tell the difference — and, more importantly, let you tell which version of yourself showed up each week.
These five are the ones that matter most for a TopstepX funded account specifically, where you're operating under trailing drawdown rules and need to compound consistently rather than swing for home runs.
1. Profit factor
Profit factor is gross winning trades divided by gross losing trades. A profit factor of 1.5 means you make $1.50 for every $1.00 you lose across all trades. Anything above 1.0 means you're net positive. Most consistently funded traders run somewhere between 1.4 and 2.5 over meaningful sample sizes.
What makes profit factor useful as a weekly review metric is that it's immune to account size. Whether you're trading a $50K account or a $150K account, the ratio stays interpretable. It also captures both your win rate and your average win/loss simultaneously — a single number that reflects the combined output of your entries, your exits, and your risk management.
Review it weekly, but interpret it over at least 20 trades. A profit factor calculated on five trades is noise. Calculated on 50 trades, it starts to mean something. The weekly review isn't to judge from one week's number — it's to watch the rolling trend. If your three-month profit factor is 1.8 and this week's was 0.9, that's a signal worth investigating. If it's been declining slowly for six weeks, that's a more important signal than any single week's P&L.
2. Average winner vs. average loser
This is simpler than profit factor but more immediately actionable: what is the average size of your winning trades versus the average size of your losing trades, in dollars?
On a TopstepX account, most traders are targeting a positive risk/reward ratio — risking $X to make $2X or more per trade. The problem is that a stated target of 2R frequently erodes in practice. Traders take partial profits early, move stops to breakeven and get stopped out on noise, or let losers run past the planned stop because "it'll come back." The average winner vs. average loser ratio, reviewed weekly, makes that erosion visible.
If your planned R/R is 2:1 but your actual average winner is $220 and your average loser is $180, your realised R/R is 1.2:1. You're not trading the strategy you think you are. Knowing this early lets you identify whether the problem is in your exits (cutting winners short), your entries (stops too wide relative to targets), or your discipline (holding losers past the plan).
Calculate this every week and track whether the gap between planned and realised R/R is closing or widening. Closing means you're improving. Widening means a habit is taking hold that will be harder to break later.
3. Win rate by setup tag
Overall win rate is a blunt instrument. The more useful version is win rate broken out by the type of trade — what most traders call setup tags or trade categories.
If you trade three setups — a breakout pullback, a mean reversion off key levels, and a news-driven momentum trade — you almost certainly don't have the same win rate across all three. One of those setups is probably performing significantly better than the others. One may be net negative. Without tagging, you'll never know which is which, because the bad setup is hidden inside the aggregate number.
The weekly review here is simple: pull your trades for the week, grouped by setup. Look at win rate, average R, and profit factor for each tag separately. What you're looking for:
- Your best setup — are you taking enough of these? Funded traders frequently undertrade their best edge because it doesn't appear every day and they fill the time with lower-quality trades.
- Your worst setup — is it net negative? If a setup has been negative for three consecutive weeks, it's not a bad streak. It's information. Stop taking it until you understand why.
- Setup drift — are you taking trades you haven't tagged? Untagged trades often indicate impulsive entries that didn't fit any defined setup. These are almost always the worst trades in any week's log.
Track setup performance automatically
Edgelogbook syncs your TopstepX trades in real time and lets you tag setups, review performance by category, and spot which edges are working — all in one place.
4. Max adverse excursion relative to stop distance
Max Adverse Excursion (MAE) measures how far a trade moved against you before it either recovered or hit your stop. Reviewing MAE weekly relative to your intended stop distance tells you something that almost no other metric can: whether your stops are in the right place.
The pattern to look for on your winners: how far did they go against you before moving in your direction? If your winners typically have a MAE of 30–40% of your stop distance, your stops have room to work. If your winners are regularly moving 90–100% against you before recovering, you're getting stopped out on the same moves that would have been winners with a slightly wider stop — or your entries are poorly timed and you're buying into the last leg of a move against you.
On your losers, MAE tells the opposite story: if trades are immediately going against you by the full stop amount with no period of being in profit at all, those are likely bad entries — you're entering too late, after the move has already exhausted. If trades go to 50% of your stop, briefly move in your favour, and then reverse to stop you out, that's a different problem — likely poor exit management or trade management after entry.
You don't need to review this trade-by-trade each week. Look at the distribution: are your losing trades clustering at immediate full-stop losses (entry timing problem) or at reversal from near-target (trade management problem)? The answer points directly at what to work on.
5. Performance by time of day
This is the metric most traders never look at, and it is one of the fastest ways to improve a TopstepX funded account.
The futures markets have distinct sessions with different liquidity profiles, volatility characteristics, and participant types. The pre-market (6:00–9:30 ET for equity index futures), the RTH open (9:30–11:00), the midday chop (11:00–14:00), and the afternoon session (14:00–16:00) behave differently enough that a strategy that works in the open often fails in the midday, and vice versa.
Pull your trades for the past four weeks and group them by the hour in which they were entered. Calculate win rate and average R for each one-hour bucket. Almost every trader who does this for the first time finds at least one time period where they are significantly net negative — and they are usually shocked by which one it is.
The most common pattern: traders make money in the first 90 minutes of RTH, give a significant portion of it back between 11:00 and 13:30, and end the day approximately where they started. If this is you, the single highest-leverage change you can make is to stop trading between 11:00 and 13:30. Walk away. Do your journal. Come back for the afternoon if your data supports it.
TopstepX's trailing drawdown structure makes protecting morning profits especially important. A bad midday session doesn't just cost you that day's gains — it erodes your drawdown buffer, which compresses your risk capacity for the rest of the week. Time-of-day analysis is how you find and close that specific leak.
Putting it into a weekly review process
The five metrics above are not things to check once and file away — they're inputs to a repeating weekly process. A review that takes more than 30 minutes is probably too long to sustain; one that takes less than 10 minutes is probably too shallow to be useful.
A practical structure for Sunday or Monday morning before the week begins:
- 5 minutes: Pull the week's trades. Tag any that are untagged. Check that your import is complete and no trades are missing.
- 10 minutes: Review profit factor, average winner vs. loser, and win rate by setup. Write one sentence about what the numbers say — not what you remember about the week, what the data says.
- 10 minutes: Review MAE on your worst three trades. For each one, write down the actual problem: was it the entry, the stop placement, or what happened after entry?
- 5 minutes: Review the time-of-day breakdown. Confirm that you know which hours you have positive expectancy in and which you don't. Update your trading plan if the last four weeks have changed the picture.
The output of this review is not a report — it's one or two specific things to focus on in the coming week. Not "trade better." Something concrete: "Only trade the breakout pullback setup between 9:30 and 11:00" or "Move stops to breakeven only after a 1R move in my favour, not before." One change, applied consistently, and then reviewed again next Sunday.
The problem with data you don't have
None of these metrics are available if you're not tracking your trades in enough detail. P&L alone, which is all TopstepX's dashboard shows you, only supports metric one — and even then only partially, since it doesn't break out gross winners and losers.
MAE requires either a journal that records entry price and worst intraday drawdown per trade, or a tool that captures it automatically from your execution feed. Time-of-day analysis requires timestamps on every trade entry. Setup analysis requires consistent tagging at the time of the trade, not reconstructed from memory at the weekend.
The traders who review these metrics regularly are not doing more work than the ones who don't — they're doing different work. Instead of re-reading the same price action over and over hoping for insight, they're reading their own data. That data compounds. The trader who has been logging setups for three months has something the trader who hasn't cannot buy: a genuine, quantified picture of their own edge.
A weekly review doesn't make you a better trader by itself. But it makes it nearly impossible to keep repeating the same mistake without knowing it — and that, over a quarter or a year, is the difference between a stagnant account and a funded one that grows.