Dojiwise Review: An AI Trading Journal That Shows Its Work

You finish the month in profit. Good. But did your whole trading day earn that money, or did your morning trades spend the afternoon paying for your mistakes?

That's the question Dojiwise is built to answer. It takes your trading history, breaks it down by setup, session, time of day and more, then uses AI to explain the patterns in plain language. The part that makes it stand out: every AI observation comes with the numbers behind it, so you can check the claim instead of taking it on faith. This Dojiwise review covers how it works, what it costs and who it suits.

What is Dojiwise? Dojiwise is a browser-based trading journal for crypto, forex and index traders. It supports a read-only Bybit connection, MetaTrader 4 and 5 report imports, CSV imports and manual entry. Alongside performance charts, it lets you record setups, emotions, tags, notes and screenshot links, and it runs on a computer or phone in English and Portuguese. It is currently in a free public beta.

Dojiwise's CSV importer lets you check your file before anything reaches your dashboard. You choose the file, match its columns to Dojiwise's fields, set the file's timezone and look at a preview of the first few rows. Only then do you commit the import.

That preview earns its keep when your broker names columns differently from the journal. You can confirm the symbol landed under Asset and that entry and exit times aren't swapped before a single number lands on a chart. Standard column headings such as symbol, direction, quantity, entry and exit prices, timestamps, fees, P&L, setup and notes are recognized automatically, and re-importing the same file never creates duplicates. Not sure how to format your export? The import screen has a Download a sample CSV link that shows the expected layout, and you can import that file to try the app before using your own trades.

Two settings deserve a second look:

Beyond CSV, MetaTrader 4 and 5 users can import their account reports directly, and Bybit users can connect a read-only API key for automatic imports. The generic CSV route opens the door to other platforms, though it isn't the same as a native connection: your export still needs fields the journal understands.

The Performance screen puts the essentials in one place: total P&L, win rateWin RateWin rate is the percentage of your trades that result in a profit — calculated as (number of winning trades ÷ total trades) × 100 — and while commonly cited as a measure of trading success, it means very little without also knowing the averRead definition →, profit factorProfit FactorProfit factor is the ratio of total gross profit to total gross loss across a set of trades — a profit factor above 1.0 means you're profitable overall, and a ratio of 2.0 means for every $1 lost, you've made $2, giving you a clear, single-Read definition →, expectancyExpectancyExpectancy is the average amount your strategy makes or loses per dollar risked — it's the single best number for evaluating whether your trading approach has a real mathematical edge.Read definition →, maximum drawdownDrawdownA drawdown is the peak-to-trough decline in account equity — it measures how far you've fallen from your high-water mark, either from a single losing trade or a series of losing trades.Read definition →, trade count, average winnerAverage WinnerAverage winner is the mean profit across all your winning trades — the number you compare against average loser to know whether your strategy actually has an edge.Read definition → and average loser. An equity curve sits underneath, and you can filter everything by period, asset, setup and direction.

Dojiwise includes a 200-trade sample you can load after signing up, which is a handy way to explore the app before importing your own history. Here's what the dashboard shows for it. These are made-up crypto trades, so treat them as an illustration of the tool, not anyone's trading record.

Dojiwise's built-in 200-trade sample. Hypothetical data for illustration only.

The relationship between those numbers matters more than any single card. This history lost more trades than it won, yet finished well ahead because the average winner was nearly twice the size of the average loser. If you tend to judge a week by how often you were right, seeing those figures side by side is a useful correction.

Expectancy turns the whole history into a per-trade figure, here $14.29. That doesn't mean your next trade is worth $14.29. It gives you a fairer way to compare setups than win rate alone. And remember the equity curve stacks up closed trade results. It doesn't show every swing your account went through while positions were open.

The Analysis screen is where a profitable headline starts to come apart, and it's the best part of the product.

You can break results down by hour, weekday, asset, market, long versus short, setup, session, duration, emotion and outcome. Each breakdown pairs a chart with a table showing trade count, win rate, P&L, average P&L and profit factor, so you read the actual size of a difference instead of guessing from bar heights.

The sample shows why this matters. Overall, it's up $2,858.19. But trades entered between 14:00 and 16:00 UTC lost $1,526.60 combined: 53 trades, only five winners, a 9.4% win rate. Looking at the total alone would hide a very expensive part of the day.

Setup analysis tells the other half of the story. The 84 trades tagged Order Block produced $2,333.75 of the profit at a 59.5% win rate. Every other trade combined made $524.44. That hands you a sharp question for your next review: what's different about those entries, and are you following the same rules every time?

The sample's patterns were built in on purpose, so finding them doesn't prove Dojiwise uncovers winning strategies. What it shows is that the reports make a lopsided history easy to investigate. With your own trades, the next step is to look at the entries, market conditions and sizing behind a pattern before you change a rule.

The AI earns its place by pointing you to the right group of trades fast. There's some overlap with the tables, since you could find a weak time window yourself in the Hour breakdown. The AI adds a short written reading of your history, including combinations that take more digging to spot.

Run an analysis on the sample and you get five observations: the losing two-hour window, the stronger Order Block results, a profitable ETHUSDT and Europe-session combination, weaker US-session results and weaker Fridays. Each observation has its supporting figures right underneath. The time-window warning shows that 48 of the sample's 104 losing trades fell in those two hours. The ETHUSDT note points to 26 Europe-session trades with a 76.9% win rate and $1,289.86 in P&L.

That presentation is the real strength. You don't get a vague "improve your discipline" with no idea which trades prompted it. You get a specific group of trades to go back and study.

Dojiwise calculates the statistics first, then gives the AI those totals to explain. It also requires at least 10 trades for an analysis and leaves out groups smaller than five, sensible guardrails against a confident paragraph built on two trades.

Still read the wording critically. The AI calls Order Block the strongest "edge", but a better result in one history doesn't prove a lasting edge. It also labels the US session as weak even though that session was still profitable in the sample. Read that as "weaker than the other sessions", not a reason to stop trading it. Use the AI to choose what to investigate next, then let the underlying trades explain the result. Our guide to using AI on your trading journal covers how to get the most from this kind of report.