Grouping your trade history by venue is the fastest way to make a losing book look like it has one clearly identifiable problem. One row is red, the others are not, and the obvious conclusion is that the venue is where the money goes. It almost never is. Venue is a label sitting on top of three other decisions you made at the same moment, and until you pull those apart, the red row tells you where to look rather than what to change.
One thing to be straight about first. The capture of the Performance tab I am working from shows the view controls and the summary tiles at the top of the page. It does not show me the columns of a venue breakdown, so I am not going to describe them to you as though I had read them. What I can give you is the reasoning a per-venue count, win rate and total P&L grouping supports, and that reasoning holds whatever the columns turn out to be called on your screen.
What a venue row is actually measuring
Think about how a trade ends up attributed to a venue in the first place. You did not pick the venue and then hunt for something to trade there. You wanted a specific exposure, and the venue was the place that offered it. That ordering matters, because it means the venue column is downstream of the instrument column.
Most people's books split roughly along these lines without anyone planning it. Spot crypto goes to one exchange. Perpetuals with leverage go to whichever venue has the pair and the funding you tolerate. Equities go to a broker. Small experimental positions go wherever the listing happens to be. By the time you group by venue, you have also silently grouped by asset class, by leverage, and by position size, because each venue carries a different mix of all three.
So when the perp venue shows a worse record than the equities broker, you have not learned that the venue is bad. You have learned that leveraged perpetual trades in your hands go worse than unleveraged equity trades in your hands. That is genuinely useful, but it is a different sentence, and it points at a different fix.
The sample under each row is smaller than it looks
Look at the TOTAL TRADES tile in the screenshot. On that account it reads 87. That is the whole book, every venue, over the selected period. Now imagine splitting 87 trades across four venues. Even a generous split leaves you with rows of maybe forty, twenty five, fifteen and seven trades.
A win rate calculated on seven trades is not a measurement. Run the arithmetic yourself and it becomes obvious. The rough uncertainty on a win rate from a sample of size n, when the true rate is somewhere near a quarter, is the square root of 0.25 times 0.75 divided by n. At n equal to 7 that is about 16 percentage points for one standard error, so a two standard error band is roughly plus or minus 32 points. A venue row reading 29% could comfortably be a 50% process having a bad month, or a 5% process you should have stopped last year. The row cannot distinguish those, and neither can you by staring at it harder.
The same tiles show a 25.29% win rate with a profit factor of 0.08 and expectancy of negative 1.20% across those 87 trades. That is the honest headline for the book as a whole, and it is worth sitting with before you go venue hunting. When the aggregate is that clearly negative, the interesting question is not which venue is worst. It is whether the trade selection is working anywhere.
Separating the venue from what you trade on it
There is one test that turns a venue row into something you can act on, and it costs nothing but attention. Find an instrument you have traded on two different venues. Any instrument, as long as the trades are broadly the same size and the same holding period. Compare your record on that instrument across the two places.
If the record is similar on both, the venue is not your problem and the earlier row was telling you about instrument mix. If the record is genuinely worse on one venue for the same instrument, then you have found something venue specific, and there is a short list of what it can be. Fees and funding, which are real and measurable. Fills, meaning you get a worse price there because the book is thinner or your order type behaves differently. Or your own behaviour, because the interface encourages something. A venue where leverage defaults to a high multiple and the close button sits under your thumb produces different trades from one where you type a share count into a form.
Most people cannot run that test cleanly, because they never trade the same thing in two places. If that is you, accept it and treat the venue grouping as a map of your instrument mix rather than as an evaluation of counterparties.
Reading the row in the context of the view you set
Every venue number you read is conditional on four selections sitting above it, all of them visible in the screenshot. The reality toggle chooses between ALL ACCOUNTS (REAL) and BLOCKCIRCLE ONLY. The source filter runs ALL, AUTOPILOT, MTE, PAPER, MANUAL and WALLET. The account dropdown offers All accounts (cumulative) alongside named accounts, which in this capture are Alpaca and Secondary. The period runs 1D, 7D, 14D, 1M, 3M, 1Y, ALL and CUSTOM, and here it is set to 1Y.
Two of those are traps in ordinary use. If PAPER flow is included in the view, a venue row can be carrying simulated trades that never had a fee or a fill, which flatters it. And if the period is short, a single bad week dominates the row completely. Before you conclude anything about a venue, set the period to ALL, make sure you are looking at real money only, and see whether the row survives the change. A conclusion that only exists at 1M was never a conclusion.
What to change first when one row stays red
Suppose the row survives all of that. Same instrument, longer window, real money, still worse. You have three levers and they are not equally sensible.
The weakest lever is moving the flow to another venue. It feels like action and it changes almost nothing, because you carry the instrument and the leverage with you. If your leveraged perp trading loses money on one exchange it will lose money on the next one, minus whatever fee difference you captured, which for retail size is usually a few dollars a trade.
The middle lever is cutting the leverage you use there. This is the one that actually moves the number, because leverage is the multiplier on every mistake and most of what separates a bad venue row from a decent one is position sizing dressed up as venue choice. Halving the multiple on the venue with the worst row is a change you can make this week and measure over the next thirty trades.
The strongest lever is dropping the instrument class the venue exists to serve. If the honest reading is that leveraged perps are the losing part of your book, closing the venue account is only the visible half of that decision. The real one is that you stop taking that kind of exposure, and the fastest way to hold yourself to it is to remove the account so the trade requires a deliberate setup step rather than a tap. That is a blunt instrument and it works precisely because it is blunt.