Features
Nine screens, one idea: you record what happened, the app works out what it means.
Trades built from real executions
A trade is the idea. Each buy and sell is a separate execution row underneath it. That one design choice is what makes everything else possible.
| What you do | What the app derives |
|---|---|
| Buy 100 @ ₹200, add 50 @ ₹210 | Average buy ₹203.33, position 150 |
| Sell 80 @ ₹230, sell 70 @ ₹195 | Average sell ₹213.67, gross P&L ₹1,550 before charges |
| Set your stop and risk at entry | R-multiple, frozen so it never rebases |
| Nothing else | Win/loss, holding days, return %, drawdown |
You never type a P&L figure. There is no field for it, because a number you can type is a number you can get wrong.
Multiple portfolios, two currencies
Several rupee accounts and several dollar accounts under one login. Each has its own capital, its own equity curve, its own statistics. A selector at the top switches between them.
They are never summed and never converted. A USD instrument physically cannot be logged into an INR portfolio — the database refuses it rather than silently adding dollars to rupees.
Open positions & portfolio heat
Live prices on everything you're holding, with unrealized P&L, open R, days held and distance to your stop.
Above it, one number that matters more than the rest: portfolio heat — the share of your current equity genuinely at risk if every open stop were hit at once.
Excursion analysis — MAE & MFE
Your entry and your exit are two flat points on a chart. Everything that decided whether the trade worked happened between them, and a P&L column throws all of it away.
MFE capture rate
Of the profit that existed at the peak, what share did you actually bank? Below 45% means you're consistently late.
MAE ÷ stop
How deep your winners dipped before turning. Near 0.9 and your stop is strangling good trades; near 0.2 and it's wider than it needs to be.
Give-back
Average profit that was on the table at the high and gone by your exit. Pure, recoverable leakage.
Both views plot as a cloud — every trade a dot, green for wins, red for losses — so the pattern is visible before you read a single number.
Winner analysis
A whole page devoted to one question most traders never ask: what did my best trades have in common?
- Profit concentration curve — how much of your gross profit came from how few trades. For almost everyone the answer is uncomfortable, and it's the strongest possible argument against cutting a runner early.
- Big winners vs the rest — your top 20% compared with every other winner on P&L, R, hold time, capture rate and how close they came to your stop.
- Does holding longer pay? — every winner plotted by days held against R returned. If the cloud rises to the right, patience is your edge.
- Plain-English findings — the conclusions written out for you, generated from your own numbers.
Losses teach you what to stop doing. This page teaches you what to do more of.
System quality statistics
Win rate is the most quoted and least useful number in trading — an 80%-win system can lose money and a 35%-win system can be excellent.
So the Analytics tab leads with System Quality Number (edge × consistency × sample size), expectancy, payoff ratio, max drawdown and recovery factor — with a plain-English verdict beside each.
Brokerage charges done properly
Indian equity delivery is not one percentage. It's STT on both sides, stamp duty on the buy only, a flat ₹15.34 DP charge on every sell regardless of size, exchange and SEBI fees, and GST on some of it but not all.
Get it wrong on a ₹1,500 trade and your costs are understated nearly ninefold. Auto-calculate, see the breakdown, or override manually from the contract note.
Daily journal
Separate from your trades, because some days the lesson isn't about a position. Write your own questions once — they become your evening checklist.
Questions are typed: yes/no, a 1–5 rating, or free text. That's what turns a month of scribbles into a discipline trend line you can lay directly over your daily P&L.
Your master lists
Setups, entry tactics, mistakes, exit triggers, journal questions — every dropdown in the app is a list you own and edit.
Rename a setup and every trade that used it follows. Retire one and it leaves the dropdown while your history stays exactly as it was.
And underneath it all
Post-exit price watch
Keeps tracking a stock for 30 days after you sell, so "it kept running without me" becomes a measured number instead of a feeling.
Capital ledger
Deposits and withdrawals with a running balance, so returns stay honest when you add or take out funds.
Import from your sheet
A dry-run validation pass shows exactly what would be created — before a single row is written.
Three themes
Dark, light, or follow your system. Every gain or loss figure carries its sign, not just a colour.
Time-weighted returns
The default return metric, because simple return distorts badly around the dates you add or withdraw money.
Documented REST API
Every screen reads the same endpoints a future mobile app will. One source of truth, forever.