AI trading-behaviour journal
It’s rarely the strategy. It’s the trade after the loss.
MirrorMind is an AI trading-behaviour journal for Zerodha F&O traders. It reads your trades when they close and names the patterns in them: revenge trades, overtrading, averaging down, broken limits. Every alert shows the realised rupee cost, and you can ask the AI anything about your own trades in plain words. It gives no tips and blocks nothing.
- Read-only
- Never sends an order
- Zerodha’s own login
By connecting you agree to the Terms and Privacy Policy.
4 min after a −₹3,420 loss, at 2× your usual size. That trade: −₹6,420.
Screenshot: demo account. Cards: Arjun’s sample day.
Has this ever been you?
Four sentences from the middle of a trading day, and what MirrorMind calls each one.
Has this ever been you?
Four sentences from the middle of a trading day, and what MirrorMind calls each one.
Twenty sessions to build it. One afternoon to give it back.
Example month, not a real account: twenty sessions of small wins, then one afternoon of chasing a loss.
One trading day, as MirrorMind sees it.
Four moments, from the limits you set before the bell to the record you close the day with. Illustrated on a sample day.
Try it: what would you do?
Three moments from a sample day, the kind where it is easy to decide on feeling. Pick what you would do, then see what MirrorMind would show you and what it cost. No login, and nothing here is real money.
Three steps. Nothing to install.
About two minutes from here to your first checked trade.
- 1
Connect, read-only
Log in on Zerodha’s own page. MirrorMind reads your trades and never sends an order.
- 2
Every closed trade is checked
14 behaviour detectors run on each closed trade, against the limits you set yourself.
- 3
See the pattern and its cost
An alert names the behaviour and the realised P&L of the trades it flagged. Then it is your call.
AI in MirrorMind
An AI that has read every trade you have made. It never tells you what to trade.
MirrorMind uses AI to read your own trading record and say back what it sees, in plain words and with the numbers behind it. It is a second pair of eyes on your behaviour, not a source of calls.
When do I revenge trade?
Of your 9 flagged revenge trades this month, 7 came within 6 minutes of a loss above ₹3,000, and 6 were before noon. Together they cost −₹13,427.
Based on the last 30 sessions See the trades
Did I keep my limits today?
You crossed 2 of 8: trades per day (11 against your 5) and your no-trade window, with an entry at 09:21.
Based on today’s 11 closed trades
- Live in the demo
Ask in plain words
“How did last week go?” “Which rule do I break most?” Every answer cites the trades it used and links back to them.
- Live in the demo
Every alert, explained
The AI writes what happened in plain language: the trade, the time, the realised cost, and the rule of yours it crossed.
- Coming soon
Your day, summarised
At 15:30 the AI drafts your day review from your trades and alerts. You edit it and keep it in your journal.
- Coming soon
A weekly debrief
A Sunday email with the patterns that cost you most this week, with the rupee figures and the trades behind them.
- Coming soon
Search your own notes
Ask “what did I write about expiry day?” and get your own words back, not generated opinions.
- Coming soon
Recall before you trade
Open an instrument and read, in a sentence, how your last rounds on it went and what you wrote.
- Reads only your record. Your trades, limits and notes. Nothing from the market.
- Shows its evidence. Every answer says what it was based on.
- Never advises. No tips, calls, targets or predictions, and it never sees your name, email, phone, client ID or order IDs.
Write down the trade, not just the result.
A number tells you what happened. A note tells you why. Read your reasons back, calmly, and the pattern in them is easier to see.
Set your limits. See where the day crossed them.
These are the two numbers you set on Home before the bell. Move them, and replay a sample day against them.
Arjun’s sample day, realised P&L before charges. It shows what happened after the limit, not what would have been better. On your account the alert is raised when the trade that crossed the limit closes.
What is inside, in the order you use it.
Before the bell, in the trade, after it, and before you trade the same instrument again. Screens marked “demo account” are the real app on sample data; phone scenes and sliders are illustrations built for this page.
Where MirrorMind sits next to what you already use.
Your broker app is where you trade. A journal app is where you review. MirrorMind reads each trade against your own limits, on the day you made it.
“Your broker app” means the tradebook, P&L and reports a broker such as Zerodha provides. “Trading journal apps” describes the category in general, from public feature pages, October 2026. Products differ and change, so treat the right-hand columns as typical, not exact. MirrorMind works alongside your broker: you still trade on Kite.
What it will never do
Your account stays yours
I knew my setups. What I didn’t see was the trade I took right after a loss: bigger, faster, to win it back. No app showed me that. So we built one that does. Not to tell you what to trade, but to show you how you trade.
Free while we are in early access.
Paid plans are planned, not on sale. The prices below are what we expect to charge, and you will see a price before you are ever charged.
Questions, answered plainly.
Write to founder@mirrormindhq.space and the founder will answer. Or try the demo first: it needs no login.
The trade after your next loss is yours to see.
Free while in early access. About two minutes to connect, nothing to install. A new account starts with today’s trades; import your Console tradebook for earlier days.