REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / GBeHpC6j6KKGHHDmJDXMMdSKjRZouCNsc7JPwyLNadgQ
F
Behavioral Grade
F
14 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
GBeHpC6j6KKGHHDmJDXMMdSKjRZouCNsc7JPwyLNadgQ
At your current pace, your capital halves every 0 days.
Your brain cost you
627.6 SOL
$48.8k behavioral damage
Survival prob.
0%
398 wins to break even
Capital half-life
0d
Bleed rate
12.1 SOL/hr
Win rate
4.1%
Net P&L
729.6 SOL
Win rate
4.1%
Profit factor
0.05
Tokens
513
SOL in
888.1
SOL out
158.4
Primary
Diagnosis
82% of attributed damage came from recurring behavior, not market noise — tilt, timing, sizing.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
82%
BEHAVIOR-DRIVEN
NOISE

Estimated share of total attributed loss caused by repeatable actions: re-entry after loss, average-down escalation, and holding through terminal drawdown.

Recovered Perf.
+627.6 SOL
Catchable Losses
395 / 492
Behavioral Drag
82%
Behavioral Kill Chain
The repeatable sequence of destruction.

The autopsy does not just rank mistakes — it identifies the recurring sequence that converts a normal loss into a terminal drawdown.

Loss
492 losses
Fast re-entry
336x
Bigger size
8 tokens
Late entry
Held collapse
1.7x hold
Stages Fired
4 / 5
Fast Re-entries
336x
BEHAVIORAL DAMAGE REPORT
😤
Revenge Trading
-463.8 SOL($36.1k)
336 trades within 10 min of a loss
Win rate on these: 4%
Late Night Trading
-272.9 SOL($21.2k)
181 trades between 11PM–5AM
Best hours: 2PM
💎
Diamond Hand Delusion
-92.8 SOL($7.2k)
Held losers 1.7x longer than winners
Winners: 3m · Losers: 5m
📈
Averaging Down
-71.0 SOL($5.5k)
8 tokens where later buys were 169.6x larger
Later buys on losing positions
😴
Session Fatigue
-29.7 SOL($2.3k)
After trade #91, avg P&L drops to -1.7488 SOL
Trade #1 avg: -1.1123 SOL
TOTAL BEHAVIORAL DRAG
-930.2 SOL($72.3k)
CIRCADIAN PROFILE
WORST: 11PM
12a44
1a37
2a25
3a26
4a18
5a11
6a8
7a2
8a3
2p4
3p24
4p28
5p35
6p44
7p58
8p43
9p48
10p24
11p31
Night (11PM–5AM): -1.5076 SOL/trade · Day (8AM–8PM): -1.35 SOL/trade
DISPOSITION EFFECT
1.7x
WINNER HOLD
3m
LOSER HOLD
5m
You hold losers 1.7x longer than winners.
SESSION FATIGUE
34 SESSIONS
#1
-1.1123
#2
-1.3427
#3
-1.125
#4
-1.6289
#5
-1.4155
#6
-1.6631
#7
-1.3982
#8
-1.4104
Avg session: 15.1 trades. Dominant pattern: Loss from the Start (81%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
5m
BASELINE GAP
5m
336 trades opened within 10 min of a loss. Loss rate on these: 96%
EQUITY CURVE
DISCIPLINED: +627.6 SOL
Peak: +0.222 SOL at token #1
Max drawdown: 729.4 SOL
- - - = you without 395 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 1.5k SOL (195% of total losses)
1
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 96% vs 96% baseline
→ Would save ~463.8 SOL
2
STOP BUYING ON PUMP_FUN
473 tokens from PUMP_FUN: 1% WR, -730.215 SOL net
→ Would save ~438.1 SOL
3
DON'T TRADE 11PM–2AM
Late-night avg: -1.5076 SOL vs -1.35 daytime
→ Would save ~272.9 SOL
4
NEVER ADD TO A LOSING POSITION
Later buys on losers are 169.6x larger than first buy
→ Would save ~217.8 SOL
5
AVOID TRADING ON WEDS
WED avg: -1.7096 SOL across 89 trades
→ Would save ~106.5 SOL
Select a token for AI-narrated forensic analysis
Individual Token Autopsies
Forensic breakdown of 5 autopsied tokens — winners and losers. Open any for the full report, or trade directly.
7MKP...KHPX
Token went to zero. Wallet went to therapy.
The Rug Victim
11.9 SOL
-100.0%
7.0/10
Full autopsy →
5w7W...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
6.960 SOL
-100.0%
8.0/10
Full autopsy →
4ujt...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
6.121 SOL
-100.0%
8.0/10
Full autopsy →
5uv7...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
6.057 SOL
-100.0%
7.0/10
Full autopsy →
VDmt...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
5.394 SOL
-100.0%
8.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.