Trade with
discipline.
Own every move.
A trading journal for stocks, ETFs, options and crypto. Log a trade in seconds, see it on a live chart, and get your win rate, return, R and a process score computed for you.
Now on the App Store


First 3 months free for new subscribers · cancel anytime
The evidence
Five findings,
none of them ours
Every number below is a regulator's own measurement or a published study, named underneath it. Four of them describe the problem. The fifth shows why a record written at the time matters.
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74–89%
of retail CFD accounts in the EU lose money.
European Securities and Markets Authority, product intervention analysis, 2018.
How it was measured
Not a survey. The regulators made every broker in the EU publish its own figure, then measured the range across jurisdictions. Average loss per client: €1,600 to €29,000.
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Under1%
of day traders are predictably profitable after fees.
Barber, Lee, Liu and Odean, Taiwan Stock Exchange, 1992–2006.
How it was measured
Not a sample of volunteers — every single day trader on one national exchange, followed for fifteen years. Aggregate performance was reliably negative in fourteen of them.
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0.4%
earned more than a bank teller. Time at it did not fix that.
Chague, De-Losso and Giovannetti, “Day Trading for a Living?”, 2020.
How it was measured
19,646 people who took up day trading, tracked from their first day. The same study reports no evidence of learning: staying at it longer did not turn into skill.
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56%
of finance influencers were “antiskilled”. They had more followers than the skilled ones.
Kakhbod, Kazempour, Livdan and Schürhoff, “Finfluencers”, StockTwits data.
How it was measured
Over 29,000 accounts, graded against what the market actually did next. Following them cost −2.3% a month; only 28% were skilled — and the antiskilled ones had more followers, more activity and more influence than the skilled ones. Nothing on the screen tells the two apart.
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29.6%
is what investors remembered earning. Their statements said 21.6%.
They listed their main stocks from memory, then copied the same stocks from their brokerage statements. Memory added eight points, and the losses were what it dropped first: 39.7% of the losers were forgotten, against 29.9% of the winners. This is a result about memory, not about skill — and memory is exactly what a record replaces.
Walters & Fernbach, “Investor memory of past performance is positively biased and predicts overconfidence”, PNAS, 2021.
How it was measured
They listed their main stocks from memory, then copied the same stocks from their brokerage statements. Memory added eight points, and the losses were what it dropped first: 39.7% of the losers were forgotten, against 29.9% of the winners. This is a result about memory, not about skill — and memory is exactly what a record replaces.
What follows from it
Four of those five are why this exists. The fifth is how it works: write the trade down while you still remember why you took it, let the numbers be computed rather than typed, and judge anyone teaching you — including anyone on this platform — by a record computed from the trades they logged.
How it works
One trade, from
the second you take it
Seven steps, and each one hands something to the next. The last two are the reason the first five are worth doing.
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You log it, in seconds
Asset type, ticker, side, price, quantity — a few taps. The stop is optional, and it is recorded with the entry. Why you took it and how it felt are tagged as you go.
The part you will want in three months gets captured at 16:32, not reconstructed from memory.
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It gets a time you cannot change
The server stamps the moment you logged it, and it cannot be edited later. On stocks, ETFs and crypto, the entry is marked on the candle where it happened, with the data source named on the chart. You may attach a broker screenshot as well.
When you took the trade is a fact on the record, not something you typed in afterwards.
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It runs, and the market tells you
A live price and live profit and loss while the position is open. An alert when it touches its stop or reaches a target, and chart alerts you set yourself — checked on closed candles, and what fires lands in the app.
You stop sitting in front of the screen to find out.
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It closes, and scores itself
Return and win rate on every closed trade, R when it has a stop, and a process score out of 100 for how you traded rather than how much you made — across two portfolios and four asset classes, in Hebrew or English.
The number is computed from what you entered. Nobody types it in.
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You read it back
The journal puts what you did, why you did it and how it felt side by side, day by day, with a monthly profit-and-loss calendar. Or ask Cockpit AI about it in plain words.
This is the step the 29.6% above is about: a record written at the time, instead of a memory that improves with age.
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Trader & mentor
Someone who teaches you answers on the trade itself
A mentor you chose reads your trades with their charts and writes notes on the trade itself — not in a message that arrives three days later with the context gone. On their side, every student sits in one place, with who has moved since they last looked.
Feedback lands on the decision it is about, while you still remember making it.
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Before you pick a teacher
And you can see who is worth learning from
A mentor's public profile can show the same computed numbers yours are — in percentages and R, never in money. And the world ranking puts traders who chose to appear side by side, by the same measures.
You choose a teacher by a record computed from the trades they logged, instead of by a screenshot.
More is being built.
Logging a trade takes
seconds, not minutes.
Five fields
Asset type, ticker, side, price, quantity. A stop and targets if you have them, recorded with the entry.
From the Home Screen
The Cockpit widget starts a new trade from your iPhone's Home Screen.
Why, and how it felt
Tagged as you go. It is the part you will want in three months, and the part nobody types into a spreadsheet at 16:32.
Live prices.
Real candles.
Stocks, ETFs and crypto
Live prices for US stocks and ETFs and for crypto, and live profit and loss on your open positions. Options are logged without a live price.
Your entry and exit, on the candle
A green arrow where you bought and a red one where you sold, on the candle where it happened — longs and shorts alike.
Five minutes to weekly
Seven timeframes, with pinch to zoom, a live price line and a countdown to the candle close.
Fourteen indicators
EMA, SMA, MACD, RSI, Bollinger Bands, VWAP, volume, Stochastic, ATR, ADX, OBV, Parabolic SAR, Supertrend and Ichimoku.
Stock data provided by Twelve Data. Crypto prices and candles from Binance.
A record that survives
being shown to someone
Return and win rate on every closed trade, R on every one with a stop, an equity curve and statistics by period. Your account size is never shown to anyone; a mentor you connect to sees the trades themselves.
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A process score
Out of 100, for how you traded, not how much you made: a stop at entry, the stop respected, the trade logged on time, and calm entries rather than FOMO or revenge. A red day can score high.
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Two portfolios
Trading and long-term investing are kept apart, so one never flatters the other.
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Share a closed trade
A clean card with the return, R, stop, targets and the chart. No position size and no money on it.
Chague and De-Losso followed Brazilians who took up day trading and stuck with it. Among those who persisted for more than 300 days, 97% lost money. Chague and De-Losso, “Day Trading for a Living?” (2020).
Every day of the month,
in one place
The journal is the month as you traded it: a profit-and-loss calendar, day by day, with the reasons and the emotions you tagged — so you can see where the money actually goes.
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A monthly P&L calendar
Each day's result in its own square, the month's return, trading days and trades above it.
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Reasons and emotions
Your most common reason and emotion for the month, and every entry where you wrote one down.
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Notes on the trade
A thread on every trade, for your own notes and for your mentor's replies, attached to the position it is about.
Cockpit AI
Ask your journal.
In plain words.
Ask about your own trades in plain words, and the answer comes from what you logged.
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Questions you would not ask a spreadsheet
Where do I lose money? What happens after I lose? How well do I keep my rules? How did this week go?
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What a company reported
A summary of what a US company filed with the SEC, with a link to the filing itself.
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Information, not advice
No investment advice, no buy or sell recommendations and no forecasts. It works only after you agree on its consent screen, and you can turn it off in Profile.
The market tells you.
You do not sit watching it.
Put a condition on a stock or a coin and leave. The scan runs on the server every hour against closed candles, and what fires lands in the app.
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Your stop and your targets
An alert when an open position touches its stop or reaches a target.
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Conditions, not noise
Moving-average crosses, RSI levels, MACD crosses, volume spikes, or a price level you set, on four-hour, daily or weekly candles.
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It reports, it does not advise
An alert says a condition was met on a closed candle, and names the symbol, the timeframe and the direction. What you do about it is yours.
Three people open this,
for three reasons
The same record serves all three, because it is the only thing all three can agree is true.
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You journal for yourself
Nobody sees anything unless you choose to. Trades, tags, notes and numbers are yours, and on iPhone you can lock the app with Face ID.
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You are deciding where to learn
Every mentor has a public profile: their experience, the markets they trade and where to find them, and — if they choose to show it — their own numbers. The world ranking shows traders who opted in, in percentages and R. Neither shows anyone's account size.
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You teach
Your students' trades appear as they happen, read-only, and you see who moved since you last looked. You write notes on the trade itself and send updates to all your students. You cannot edit their record, which is the whole reason it is worth anything.
A mentor is a teacher who gives feedback and comments. It isn't investment advice.
The same record,
on the desk
and in your pocket.
One account on iPhone and on the web. The web version holds the same record, not a cut-down view: a persistent sidebar, tables you can filter, candle charts with your own indicators, and the mentor area. The iPhone is where a trade actually gets logged, in seconds, while the position is still moving.
- iPhone · on the App Store, with Face ID lock and a Home Screen widget.
- Web · the same account in any browser for subscribers, nothing to install.
- Hebrew and English · right-to-left built in, not bolted on.
Now on the App Store.
Download Cockpit on your iPhone, create your account and start logging. Already subscribed? Sign in on the web with the same account.
Launch offer
Free for a limited time.
New subscribers get their first 3 months free. Start in the iPhone app; cancel anytime in your App Store settings.
Follow us
Get the app
Log the trade where you took it.
The iPhone app is the same record, and it is where a position actually gets written down — in the minute you took it, not in the evening.
Subscribers also get the web version: the same record, on a desk or in any browser.
Support
Questions? Write to us.
For help with the app, your account or your subscription, email us and we will get back to you.
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Manage or cancel your subscription
In the app, Profile → Manage subscription, or on your iPhone in Settings → your name → Subscriptions.
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Delete your account
In the app, Profile → Delete account. It permanently deletes the account and every trade, note and screenshot in it.
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Your data
To get a copy of your data, correct it or delete it, email us. The details are in the Privacy Policy.
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Something not working?
Use the Feedback tab inside the app — it can attach a screenshot — or email us with what you saw.