88% of traders lose.
Most don't know why.

EdgeAnalysis AI connects to your broker, analyses every trade with AI, and shows you exactly where your edge is — and where you're bleeding money.

Works with
Zerodha Kite
Upstox
Dhan
AngelOne
Fyers
edgedeck.app / dashboard
LIVE
Net P&L · 90d
−₹47,820
63 wins · 89 losses
Win rate
41.4%
▼ 6.2 vs last 30d
Avg R:R
0.74
target: ≥ 1.5
P&L calendar
lossgain
M
T
W
T
F
Mar
Apr
May
Top instruments · last 30d
sorted by P&L
BANKNIFTY 52400 CE
47 tr
WR 32%
−₹18,420
NIFTY 24800 PE
31 tr
WR 38%
−₹6,740
RELIANCE
12 tr
WR 66%
+₹4,210
HDFCBANK
9 tr
WR 71%
+₹2,980
AI Insight · Critical

You lose 74% of trades placed within 15 minutes after a losing trade.

Revenge trading cost you ₹8,240/month on average over the last 90 days. Detected pattern: position size jumps 1.8× after losses.

Time-of-day edge
9:15 – 10:30
61%
10:30 – 12:00
48%
12:00 – 14:30
29%
14:30 – 15:30
22%
Weekly WhatsApp · Sun 6pm
→ Week 22: +₹3,140 net.
→ Best setup: opening-range break on RELIANCE (4/4)
→ Fix this: avoid BANKNIFTY after 12 — saved you ₹6,800 last week
Trade your edge, not your emotions.
₹0SEBI license required/
5brokers supported/
2 minto connect your broker/
1,000+traders on the waitlist/
90 daysof history analysed instantly/
24/7AI running on your data/
₹0SEBI license required/
5brokers supported/
2 minto connect your broker/
1,000+traders on the waitlist/
90 daysof history analysed instantly/
24/7AI running on your data/
What it tells you

This is what EdgeAnalysis AI tells you.

Not generic advice from the internet. Not someone else's signal. A specific, numbered finding about your trades — with the rupees attached.

See your own insights
AI Finding · 92% confidence
based on your last 90 days · 1,247 trades
#0042

Your win rate on BANKNIFTY options is 61% before 10:30am, but drops to 29% after 12pm.

Afternoon loss
−₹34,500
last 90 days
Trades after 12pm
312
71% losers
If you'd stopped at 11am
+₹41,800
simulated
Recommendation

Consider stopping BANKNIFTY trading after 11am. Your afternoon trades have negative expectancy and account for 72% of your monthly losses.

generated from YOUR trade data · not generic adviceview 312 examples →

Start understanding
your trades today.

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