Vyloka Sample · simulated data

Trade Autopsy · 2026-02-02 → 2026-08-07

142 trades. One expensive habit.

129 option and 13 futures round-trips analyzed. 44 BANKNIFTY fills set aside (coming soon). 12 stock F&O fills set aside (roadmap).

Net P&L
+₹118,450
Win rate
44%
Profit factor
1.31
Avg hold
47 min

Chop day entries cost you ₹86,400

43 trades taken on chop days — small gap and narrow opening range, with a 19% win rate. Without them your net P&L would have been +₹204,850.

What could have been

cumulative P&L, weekly
Actual equity Chop-day trades removed

Day structure at your entry

hover bars for detail

Chop days were your most expensive condition — 43 trades, only 19% won.

Day structure = overnight gap + opening range, computed fresh for each session from exchange data.

Breadth alignment

Were the NIFTY heavyweights (vs session VWAP) agreeing with your direction when you entered?

With breadth78 trades
+₹149,800 win rate 56%
Against breadth64 trades
−₹31,350 win rate 29%

Entering with the heavyweights on your side won 56% vs 29% against them — alignment mattered in your trades.

Coverage: 100% of trades.

P&L by entry time

All entries, bucketed by clock time.

The 12:30–13:30 window hurt most (24% win rate); your best window was 10:30–11:30.

Tilt check

Detected from your order timestamps and position sizes alone.

Re-entry ≤ 10 min after a loss 17 trades
−₹41,200 win rate 12%
Avg position size after 2 straight losses 22 trades
+38% vs your average size
Verdict
⚠ Revenge-trading pattern detected

Revenge-trading pattern detected.

Your edge

Where your trading actually works — protect these conditions.

Best day structure: Open days 38 trades
+₹172,300 win rate 61%
Best window: 10:30–11:30 24 trades
+₹41,300 win rate 54%

Your edge is real and it lives in open days (61% win rate) and the 10:30–11:30 window (54%) — protect it.

Holding behaviour

How long you sit in winners vs losers.

Average winner held
68 min
Average loser held
31 min
Verdict
✓ Healthy asymmetry

Winners held 68m vs losers 31m — you let winners run and cut losses faster. That's the healthy direction.

Overtrading check

Your first two trades of a day vs everything after.

Trades 1–2 of the day103 trades
+₹148,200 win rate 49%
Trade 3 onward39 trades
−₹29,750 win rate 31%

From your 3rd trade of the day onward, the win rate drops to 31% (vs 49% on the first two) — the tape gets expensive after trade two.

Where losses concentrate

Losing days ranked by damage.

Your 3 worst days of 31 losing days
−₹158,900 57% of all losses

Just 3 days caused 57% of your total losses. Damage control on your worst days matters more than perfecting your average ones.

Expiry-day trading

Entries on the option's own expiry day vs other days.

Expiry-day entries52 trades
−₹18,400 win rate 35%
Other days77 trades
+₹121,300 win rate 51%

Expiry-day entries won 35% vs 51% on other days — expiry is costing you.

Day of the week

Same trader, five different markets.

Monday26 trades
+₹31,200 win rate 50%
Tuesday30 trades
+₹48,750 win rate 53%
Wednesday29 trades
+₹11,200 win rate 45%
Thursday33 trades
−₹22,300 win rate 36%
Friday24 trades
+₹49,600 win rate 50%

India VIX

Your entries, split into VIX terciles.

Low-VIX entries 47 trades
+₹39,200 win rate 45%
Mid-VIX entries 48 trades
+₹41,800 win rate 43%
High-VIX entries 47 trades
+₹37,450 win rate 44%

Median VIX on winners: 14.9 · on losers: 15.3. ✓ No edge — VIX level shows no meaningful effect in your trades.

Pre-trade context check

Live snapshot before you enter.

Day structure so far
Trend forming
Heavyweight breadth
8 of 10 above VWAP
Opening range
128 pts
🔒 Elite — coming soon

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Share your autopsy

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Coverage

Context coverage: 100% of trades · verification: 142 checked, 0 failed session check.

Sample report — simulated trades, real report structure.

Day-structure and breadth context computed for all trades.

Positioning factors (OI walls, PCR): arriving as our market-data archive expands.

Vyloka shows market conditions and your own statistics. It never tells you what to buy or sell. Nothing here is investment advice, and Vyloka is not a SEBI-registered investment adviser or research analyst.

Derived analytics only — no raw market data is displayed or redistributed. Generated sample data · support@vyloka.com