
Most traders who keep blowing up their accounts make the same mistakes. They just don't know it. Because they don't write anything down.
A trading journal isn't bookkeeping, and it's not a spreadsheet of trades. It's a feedback loop with yourself. The only way to figure out exactly where your system breaks down: at the entry point, in position management, psychologically after the first stop, or in instrument selection.
Without it, you're trading blind. Every new day is like the first.

Simple answer: to stop repeating the same mistakes and to see what actually works in your system — and what doesn't.
Trading produces a massive stream of data. Over a month of active scalping — hundreds of trades, thousands of decisions. Without logging them, it all turns into noise. You only remember the standout moments: big win on Friday, blowup on Monday. Everything in between disappears.
But that middle part is where all the information lives. Stats by time of day. Average win versus average loss. The percentage of trades on a specific pair that go green. How many times you moved your stop instead of closing by the system.
In my experience, the most painful discoveries happen right there. You think your BTC scalping gives you a 60% win rate — you open the journal and see 41%. You think you're trading by the plan, but the journal shows 30% of trades tagged as "entered on emotion."
A trading journal does three things nothing else can replace. First: it gives you objective stats instead of feelings. Second: it slows you down in the moment when you're logging, and that alone reduces tilt. Third: it builds a foundation for systematic improvement rather than intuitive flailing.
A side note on psychology (more in the "Trader Psychology" article): the journal works as an anchor. After a losing streak you open it and see facts, not feelings. That kills the panic.
The minimum set without which the journal is useless.
Technical data for each trade:
Trade context:
Execution review:
That's not everything. There's another block most people skip, then wonder why progress is slow. It's the emotional log.
Write down your state before the trading day (did you sleep? any external stress?) and your state at the moment of specific trades. "Entered after two stops in a row" — that's already useful information. "Entered five minutes after exiting a profitable trade on FOMO" — even more useful.
The link between emotional state and trade quality is where the most unexpected insights come from. My own stats showed that trades placed in the first 20 minutes after a stop loss close in the red 68% of the time. Now I wait. That's delivered more than any indicator tweak.
On properly limiting losses through entry discipline — see the risk management article.
A few options.
The most flexible option. You build exactly what you need. Add automatic stat calculations: win rate, average R/R, profit factor (ratio of total profit to total loss), maximum drawdown.
The downside: you have to enter data by hand. Not everyone has the discipline for that. After three weeks the spreadsheet starts sitting empty.
Basic structure of a trading journal spreadsheet:
Second sheet — summary stats. Win rate by pair, by time of day, by session, by setup type. This is where the real work begins.
Ready-made solutions for trade logging: Edgewonk, Tradervue, TradesViz. They auto-calculate stats, draw equity curve charts, and let you filter trades by tags.
Edgewonk can calculate "trading psychology" — the percentage of trades that broke your rules and their impact on results. Useful, but requires discipline when filling in tags.
The shared downside across all of them: paid, English-only interface, and you still need to enter data manually or via CSV export from the exchange.
Secret Terminal has a built-in "Journal" module that automatically pulls trade history from the exchange via API. No manual entry. The system builds an equity curve, a PnL heatmap by day — you immediately see which days of the week you're losing on — and breaks trades down by instrument.
On top of that: you can open any position and see, at the level of the tape and order book, exactly how it executed. You literally see whether you read the market correctly at the moment of entry.
Data is stored locally. Trade history is pulled directly from the exchange, nothing goes through third-party servers.
Many experienced scalpers record their screen and review it afterward. It costs more time, but gives you something you can't capture in a spreadsheet: the speed of decisions, reactions to the order book, the visual context of the entry moment. If you don't have time to watch everything — just review the moments of large losses. That's usually where the most valuable information lives.
Keeping a journal is one process. Analyzing it is completely different work.
Reviews need to be regular. Not "someday on the weekend." There are three levels of analysis.
After closing the trading session. You open each trade and honestly answer two questions: was there an argument for entry by my system, and did I stick to the plan after entry.
Not "did it work out" — that's a different question. A correct trade can hit the stop. An incorrect one sometimes makes money. What you care about is the quality of the process, not the result of a specific trade.
Log violations immediately while the context is fresh. A week later you won't remember why you moved the stop on ETH/USDT at 4:23 PM.
You look at the numbers for the week. Not individual trades — patterns.
Questions to work through:
The last question is particularly revealing. It almost always turns out that disciplined trades produce a small positive or break even, and all the losses come from a handful of rule violations. That reframes the whole problem.
You look at the big picture. Equity curve for the month: is there growth, where are the drawdowns, what causes them. Compare to the previous month. Commit to one specific change you want to implement.
This is where you can tell whether you're actually growing as a trader or going in circles.
One mistake almost everyone makes: they only review losing trades. Review profitable ones too. Sometimes you find that your best trades happened by accident, not by the system. That's also important information.
You don't fill it in right away. Left it for the evening — you forgot the details. Left it for the next day — you fill it in from memory and invent justifications instead of recording what actually happened. The journal needs to be done while it's fresh. I tested it: four hours after a closed trade, reconstructing the order book context is nearly impossible.
You log the result, not the process. "BTC trade, +$120" — that's not a journal. You need the context: why you entered, what you saw in the tape, whether there was an argument in the order book. Without that, there's nothing to analyze.
You don't analyze it. The most common version. Someone diligently fills in the spreadsheet for months and never once opens the stats. The journal only works when you actually work with it.
You lie to yourself. Retroactively "improving" the entry reason when a trade turned out profitable. Or not logging rule violations. A trade journal only works if it's honest.
You don't review profitable trades. Already said this above, but worth repeating. If you made money by breaking the rules, you reinforced a bad habit. Random profit is more dangerous than a loss — it teaches the wrong behavior.
More on common trading mistakes in the "Beginner Trader Mistakes" article.
No, you don't. People have poor memory for mundane events and strong memory for dramatic ones. You remember the big stop on Monday but not the 30 small losses on Tuesday. A trading journal produces an objective picture that memory doesn't build. After a month of logging, most traders find their actual win rate is way off from what they thought.
With a disciplined approach: 2–3 minutes per trade right after closing it, plus 15–20 minutes at the end of the trading session for the review. That's not expensive. Blowing up your account over and over from the same mistakes is.
Excel gives maximum flexibility but requires discipline with manual entry. Apps like Edgewonk or TradesViz automate the stats. The built-in module in a trading terminal eliminates manual entry entirely — data pulls directly from the exchange, and you can review any position through the tape at the moment of execution. For a scalper trading in the terminal, that's optimal.
Yes. Profitable trades are sometimes more important to review. If you made money by breaking the rules, you reinforced a bad habit. The trade journal tracks the quality of the process, not the outcome.
After 4–6 weeks, specific patterns should emerge: what time you trade best, which pairs produce consistent results, what situations precede your losses. If that's not happening — either there's not enough data, or you're not analyzing what you're logging.
Technically yes, but you lose half the value. Psychology is embedded in every trade. Emotional context explains why the same setup produces different results on different days. That connection is usually what explains why a trader loses on specific days of the week or at specific times of day.
Profit factor is the ratio of total profit from all winning trades to total loss from all losing trades. A value above 1.5 is considered healthy for a working system. If profit factor is below 1.0, the system generates losses even with a high win rate.
A scalping terminal with a built-in trade journal — free, works on Windows and macOS. Connects via API to Binance, Bybit, OKX, MEXC.
Trade history pulls automatically. The PnL heatmap shows which days you're in profit. You can review the tape and order book for any historical position.
Download Secret Terminal and start your journal
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