FALCONN JOURNAL

Turn your trading data into real progress.

Import your tradebook, find your actual edge, and see what your execution costs you — an India-first trading journal built on evidence, not stories.

Zerodha tradebook import Free while in beta No card, no calls
FALCONN JOURNAL SAMPLE DATA

Your trading summary

Net P&L (est.)+₹12,683net of charges
Win rate (net)56.2%9 of 16 closed
Profit factor2.9avg win +₹2,152
Expectancy+0.44R13 with risk set
Equity curve16 closed trades
Edge vs execution
Followed the playbook+₹17,450
Went off plan−₹4,862
What it cost

Revenge, boredom and chase trades

−₹4,862 4 trades you graded “off plan”, 0% of them profitable.
IMPORT FROM YOUR BROKER Zerodha LIVE Upstox PLANNED Fyers PLANNED Angel One PLANNED Dhan EVALUATING Groww EVALUATING Any broker works today via a manually entered trade — and planned brokers will arrive as auto-sync, not CSV.

A journal built for how you actually trade

Record, analyse and improve — with Indian F&O charges, lot sizes and expiries understood.

Explore the journal →

One-click import

Drop your Console tradebook. Fills pair into trades automatically, and re-uploads are dedup-safe.

Real net P&L

Every figure is net of brokerage, STT, stamp and GST — modelled on Zerodha's rate card, and labelled an estimate.

Edge × discipline

Two verdicts, not one: does the setup pay, and do you actually follow it? The gap between them is the money.

Journal that fits

Notes, tags, grades, planned risk and chart screenshots — on the trade and on the session.

What-if lab

“What if I'd skipped the C-grades?” Run it against your own book — never a simulation of someone else's.

Multi-account

Tag uploads per account and scope every screen. Fills never pair across accounts.

Weekly review

A digest of the week's edge, discipline and leaks, in your inbox.

IN BUILD

Charts & replay

Trade replay and MAE/MFE, on the chart your trade actually printed on.

NEEDS LICENSED DATA
OUR APPROACH

Better decisions. A longer journey.

Falconn builds trading tools around one idea: decide from evidence, not from stories. Which is why nothing here is guessed — if a number needs data we don't have, the app says so instead of inventing it.

How we build →
“What gets measured
can be improved.”

Two products. One standard of proof.

Different traders, different tools — the same refusal to show you a number we can't stand behind.

Talk to us →
FALCONN JOURNAL

Understand your trading.
Then improve it.

For retail F&O traders who want to know what actually works — and what their own execution costs them.

  • Tradebook import
  • Net-of-charges P&L
  • Edge × discipline
  • Sessions & strategies
  • What-if lab
  • Full data export
Start journaling → How it works Free in beta · ₹499/mo planned
FALCONN DESK

Systematic trading,
operated properly.

Our own algorithmic engine: research, validation and live execution under one evidence-first workflow.

  • Research & backtests
  • Validation gates
  • Live execution
  • Ops monitoring
  • Forward ledgers
  • Parity checks
How the Desk works → Sign in Private — not for sale
Access is invite-only. How it works is public — that part we do share.

Pricing, plainly

Nobody is charged anything today. When that changes, it changes here first.

Journal — beta

₹0 while in beta

Everything the journal does today, free. No card, no sales calls.

Journal — later

₹499/mo · planned

The planned price once billing exists — beta users hear first and get a fair grandfathering. Until then, nobody is charged anything.

Desk

Not for sale

The desk trades our own capital. If that ever changes it will be announced here — loudly, with the regulatory homework done first.

Resources

We'd rather list what's coming than pad the page.

How the Desk works — engine, replay, forward validation read it →
How we compute R — planned risk, not hindsight being written
The full charges stack: why gross P&L flatters you being written
Edge vs discipline: does it pay, and do you follow it? being written
Backtest → forward ledger → live: how the desk qualifies a strategy being written
Only the first one is published. Questions meanwhile: get in touch.

Get in touch

Questions about the Journal, the Desk, or anything on this page — leave a note and we'll get back to you.

hello@falconn.app
Built on structure.
We'll only use your details to reply. No spam, no lists.