REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / Dg9rc2G2P35ZQV7jMKQaUFcQppYSRkoKr7nXghNmcvgV
F
Behavioral Grade
F
20 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
Dg9rc2G2P35ZQV7jMKQaUFcQppYSRkoKr7nXghNmcvgV
At your current pace, your capital halves every 0 days.
Your brain cost you
108.9 SOL
≈ $10.8k behavioral damage
Survival prob.
0%
73 wins to break even
Capital half-life
0d
Bleed rate
—
Win rate
0.7%
Net P&L
−108.4 SOL
Win rate
0.7%
Profit factor
0.03
Tokens
278
SOL in
115.5
SOL out
7.022
Primary
Diagnosis
98% 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.
98%
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.
+108.9 SOL
Catchable Losses
265 / 276
Behavioral Drag
98%
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
276 losses
→
Fast re-entry
253x
→
Bigger size
15 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
253x
BEHAVIORAL DAMAGE REPORT
😤
Revenge Trading
-93.5 SOL($9.3k)
253 trades within 10 min of a loss
Win rate on these: 0%
⏰
Late Night Trading
-20.3 SOL($2.0k)
46 trades between 11PM–5AM
Best hours: 1AM
📈
Averaging Down
-2.169 SOL($216.08)
15 tokens where later buys were 2.3x larger
Later buys on losing positions
TOTAL BEHAVIORAL DRAG
-116.0 SOL($11.6k)
CIRCADIAN PROFILE
WORST: 11PM▾
12a21
1a2
4p6
5p31
6p51
7p35
8p51
9p40
10p18
11p23
Night (11PM–5AM): -0.4415 SOL/trade · Day (8AM–8PM): -0.4251 SOL/trade
DISPOSITION EFFECT
0.1x▾
WINNER HOLD
11m
LOSER HOLD
1m
You hold losers 0.1x longer than winners.
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
<1m
BASELINE GAP
<1m
253 trades opened within 10 min of a loss. Loss rate on these: 100%
EQUITY CURVE
DISCIPLINED: +108.9 SOL▾
Peak: +0.196 SOL at token #1
Max drawdown: 108.2 SOL
- - - = you without 265 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 236.5 SOL (212% of total losses)
1
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 100% vs 99% baseline
→ Would save ~93.5 SOL
2
AVOID TRADING ON MONS
MON avg: -0.3968 SOL across 255 trades
→ Would save ~70.8 SOL
3
NEVER ADD TO A LOSING POSITION
Later buys on losers are 2.3x larger than first buy
→ Would save ~51.8 SOL
4
DON'T TRADE 11PM–2AM
Late-night avg: -0.4415 SOL vs -0.4251 daytime
→ Would save ~20.3 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.
Bjbp...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−4.884 SOL
-100.0%
7.0/10
Full autopsy →
2Z5D...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−3.500 SOL
-100.0%
7.0/10
Full autopsy →
CEHM...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−2.944 SOL
-100.0%
8.0/10
Full autopsy →
Hv6R...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−2.821 SOL
-100.0%
8.0/10
Full autopsy →
6s73...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−1.867 SOL
-100.0%
8.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.