Dry run — sample data, no signup required

This is what SEIGYO shows after 30 trades across 5 sessions.

Below is real analysis from sample trade data. Rule-cost estimates, execution forensics, behavioral heatmaps, and discipline scoring — the same views you get with your own trades.

What broken rules cost
Estimated Avoidable P&L

$1,021.00 estimated avoidable P&L

This estimate assumes you stopped after the first broken rule in each monitored session. Under that assumption, SEIGYO estimates you would have kept approximately $1,021.00 more over this 14-day window. The model uses the net result of trades placed after the first in-session rule break.

5 violations across 3 sessions
Rule-Following Avg
+$73.60
23 compliant trades
Rule-Breaking Avg
-$105.40
7 violating trades
Trades After Break
5
Placed after the first broken rule in-session
Losses After Break
-$283.00
Gross losses booked after your rules were already broken
Largest estimated leaks after rule drift
Max trades per day
2 violations across 2 sessions
Estimated Avoidable
$524.00
Breaking Avg
-$81.50
Trades After
3
Net After
-$198.00
Cooldown after loss
3 violations across 2 sessions
Estimated Avoidable
$497.00
Breaking Avg
-$137.30
Trades After
2
Net After
-$85.00
Execution forensics
Avg Exit Efficiency
57%

How much of each trade's maximum favorable move you captured on exit.

Avg MFE Captured
$42.80

Average dollars captured from the best point each trade reached.

Avg MAE
$38.60

Average maximum adverse excursion — how far trades went against you.

Opportunity P&L
$1,240.00

Estimated additional profit if all exits had been at MFE.

Exit Efficiency Distribution

How your 30 trades distribute across efficiency buckets.

5
0-25%
16.7%
4
25-50%
13.3%
12
50-75%
40.0%
9
75-100%
30.0%

Sessions

Mar 23 — Morning session
6 trades
60% eff.
$328.00
Mar 25 — Revenge trading session
7 trades
50% eff.
-$142.00
Mar 28 — Overtrading day
8 trades
51% eff.
-$68.00
Mar 31 — Clean execution day
5 trades
78% eff.
$685.00
Apr 3 — Mixed session
4 trades
62% eff.
$152.00

Trade-Level Forensics

First 10 of 30 trades. Full table unlocks after signup.

SymbolSideP&LMAEMFEExit Eff.Hold
SPYbuy$90.00$45.00$120.0075%30m
AAPLbuy$42.00$25.00$65.0065%40m
NVDAbuy$56.00$38.00$72.0078%1.0h
TSLAsell$46.00$30.00$55.0042%15m
AMDbuy-$52.00$80.00$35.0018%10m
SPYbuy$85.00$20.00$110.0082%1.2h
TSLAbuy-$56.00$90.00$20.0012%5m
TSLAbuy-$84.00$120.00$15.008%3m
TSLAbuy$72.00$55.00$95.0063%20m
SPYbuy$80.00$40.00$100.0072%45m
+ 20 more trades available after signup
Behavioral insights
Win Rate
63%
30 trades
Net P&L
$955.00
14 days
Risk / Reward
1.54
Avg winner vs avg loser
Consistency
62.4
Pacing + outcome steadiness
Revenge Trades
3
Cost: $412.00 total
Overtrading Days
2
Above normal daily pace
Avg Trades / Day
6.0
Over 14 days

Win Rate by Hour (UTC)

14:00
78%
n=9
15:00
62%
n=8
16:00
38%
n=8
17:00
55%
n=5

Win Rate by Weekday

Mon
80%
n=10
Tue
57%
n=7
Wed
43%
n=7
Thu
65%
n=4
Fri
60%
n=2

Best Windows

Strongest hour: 14:00 UTC — 78% win rate
Strongest day: Monday80% win rate

Weakest Windows

Weakest hour: 16:00 UTC — 38% win rate
Weakest day: Wednesday43% win rate
Discipline score
Current Session
72%

Weighted by rule severity and execution risk. Higher is better.

Max Trades Per Day
2 violations
Cooldown After Loss
3 violations
Max Daily Loss
Clean
Minimum Time Between Trades
Clean
Max Position Size
Clean
Score History (Last 5 Sessions)
88%
Mar 23
42%
Mar 25
51%
Mar 28
95%
Mar 31
72%
Apr 3

Mar 25 dropped to 42% after revenge trading. Mar 31 hit 95% with clean execution. The pattern is clear: discipline directly correlates with session outcome.

See this with your own trades.

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