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Turn your Zerodha Tradebook into a trading journal you can actually learn from.
Zerodha gives you trades. Arthveda gives you insights and analytics. See how you can turn your Zerodha Console Tradebook into a journal with performance analytics, insights that tell you where and why you lose or make money, and a trade-level feedback loop in less than five minutes.
A tradebook is what your accountant needs. A journal is what you need to get better.
Not on Zerodha? See all supported brokers.
See the full trade, not just the execution.
PnL, charges, duration, chart context, executions, notes, and tags, all tied to the same Zerodha trade.
If you trade on Zerodha and your history lives in Console exports, this guide shows how to turn that file into a journal you can actually learn from.
You have a couple of hundred trades sitting in your Zerodha account. You roughly know last quarter was green. You can't tell which setup delivered most of that PnL, which trades you held too long, or whether your "high conviction" trades actually outperformed your gut-feel ones.
The problem isn't your trading. The problem is that a tradebook and a journal solve completely different problems.
What Zerodha actually shows you
Console is Zerodha's reports portal, and it's solid for what it covers:
- Tradebook — your executed trades history
- Tax PnL — realized PnL by financial year, sorted for ITR filing
- Holdings statement — current portfolio with average cost
- Funds — cash, margin, and ledger balances
Useful, but notice the shape. Console is optimised for the report your accountant needs, because that's what most retail traders explicitly ask for. The other artifact, the one that actually moves your edge, is the one most Zerodha users end up building themselves in Excel, Google Sheets, Notion, or a custom spreadsheet. Usually for two months. Usually it stops.
What Zerodha Console is not built for
Pull up your last hundred closed trades in your head and try to answer these:
- What's my win rate over the last quarter?
- What's my average winner versus my average loser, in R-multiples?
- Are my breakout trades more profitable than my mean-reversion trades, or am I just remembering the dopamine ones?
- Do trades I hold overnight outperform my intraday ones after charges?
- Which setup is dragging my overall PnL down, even though it feels good when it works?
None of these are answerable from Console without exporting the tradebook, opening Excel, writing formulas, and tagging every trade by hand. Most traders never make it to step three. Arthveda answers them in a few clicks.
How to import your Zerodha trades
Export your tradebook from Zerodha
Log in at console.zerodha.com, open Reports then Tradebook, select Current FY or Previous FY, click Submit, and download the XLSX.
Create your Zerodha broker account
Sign up or log in to Arthveda. Follow onboarding and select Zerodha, or go to /app/settings/broker-accounts and create a Zerodha broker account.
Click Import and upload the file
Choose Import on the Zerodha broker account, upload the Tradebook XLSX, review the parsed trades, and confirm the import. Arthveda groups your executions into trades automatically: one round trip becomes one trade with entry, scaling, exit, holding period, and after-charges PnL computed for you.
Explore your journal
Open Trades, Dashboard, Insights, and Reports. Then pick your first ten trades, add a tag like breakout, earnings, or support-bounce, and add a one-line note on what you were actually thinking when you entered. That's the work. It compounds from here.
The whole flow is about five minutes the first time. Once your historical data is imported, use Zerodha Sync for the future: log in through your Zerodha account when Arthveda asks, then one click pulls fresh trades into the same journal.
What you see after your first import
Once your Zerodha trades are in, Arthveda becomes the operating system around your trading history.
- Dashboard — know if you are actually improving. Track net PnL, gross PnL, charges, win rate, average win/loss, expectancy, profit factor, streaks, and cumulative performance over time.
- Trades — see your complete trading history in one place. Arthveda preserves every trade separately, then lets you search, filter, sort, and inspect detailed breakdowns, so nothing gets merged away, lost, or overlooked.
- Insights — see what is actually hurting your trading. Understand the patterns behind your wins, losses, timing, behaviour, setups, mistakes, and outcomes.
- Reports — find what is consistently working. Break performance down by symbols, instruments, timeframes, tags, and trading patterns, with after-charges PnL and R-factor included.
- Tagging — spot patterns you would otherwise miss. Tag trades by setup, mistake, market condition, emotion, behaviour, or any trading lens you want to measure.
- Journal notes — understand the why behind every trade. Attach notes and chart screenshots directly to the actual trade, so your thinking stays connected to the outcome.
You do not set any of this up manually. Arthveda computes it from the trades it builds out of your Tradebook the moment you upload it.
For example, you may discover that your breakout trades have a +2.8R expectancy while reversal trades are net negative after charges. That is the kind of feedback a raw Tradebook will never volunteer.
What to actually journal
If you want the journal to do its job, every trade needs a little human input. The number is small on purpose:
- Setup tag — what kind of trade was it? Keep the set small and reusable (eight to twelve tags is plenty).
- Entry reason — one sentence on the trigger. "50 DMA reclaim with above-average volume" is good. "Looked strong" is not.
- Exit reason — stop hit? target hit? time stop? fear? Be honest about the last one.
- R-multiple (optional, high-value) — risked ₹2,000 and made ₹6,000 is a +3R. Track it and after fifty trades you stop arguing with yourself about whether you're positive expectancy.
You can also attach chart screenshots at entry and exit and a note on what you'd do differently. After a month of consistency you'll see at least one pattern you didn't know existed.
Arthveda is more than a journal
Most trading journals stop after the trade. Arthveda connects the workflow before and after it: discovery, watchlists, symbol research, execution, journaling, review, and your public trading record.
The same stock you discovered in a screener can later appear in your watchlist, trade journal, review reports, and symbol history, all connected in one workflow.
Screeners — scan NSE and BSE stocks using price, volume, technical, and candlestick filters. Arthveda remembers the source of every idea, so if a screened stock becomes a trade, you can later see which screeners are actually leading to better results.
Watchlists and symbol pages — track the stocks you care about before and after you trade them, so your research and journal are part of the same workflow.
Public profile — build a public trading identity around your process, not just PnL. Publish selected screeners, watchlists, notes, and trade reviews so others can understand how you find ideas, track them, and learn from them over time.