REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 2LSoAZL3pMHjxFPKEc7vMdDH5Bybt6djBtHrsvBrUkWe
F
Behavioral Grade
F
14 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
2LSoAZL3pMHjxFPKEc7vMdDH5Bybt6djBtHrsvBrUkWe
At your current pace, your capital halves every 0.2 days.
Your brain cost you
213.6 SOL
$16.6k behavioral damage
Survival prob.
0%
105 wins to break even
Capital half-life
0.2d
Bleed rate
6.092 SOL/hr
Win rate
2.3%
Net P&L
318.0 SOL
Win rate
2.3%
Profit factor
0.07
Tokens
350
SOL in
365.0
SOL out
47.0
Primary
Diagnosis
62% of attributed damage came from recurring behavior, not market noise — timing, tilt, sizing.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
62%
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.
+213.6 SOL
Catchable Losses
202 / 342
Behavioral Drag
62%
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
342 losses
Fast re-entry
79x
Bigger size
11 tokens
Late entry
Held collapse
1.7x hold
Stages Fired
4 / 5
Fast Re-entries
79x
BEHAVIORAL DAMAGE REPORT
Late Night Trading
-127.5 SOL($9.9k)
142 trades between 11PM–5AM
Best hours: 1PM
💎
Diamond Hand Delusion
-99.5 SOL($7.7k)
Held losers 1.7x longer than winners
Winners: 3m · Losers: 4m
😴
Session Fatigue
-94.1 SOL($7.3k)
After trade #10, avg P&L drops to -1.0176 SOL
Trade #1 avg: -0.7566 SOL
😤
Revenge Trading
-82.6 SOL($6.4k)
79 trades within 10 min of a loss
Win rate on these: 4%
📈
Averaging Down
-31.5 SOL($2.4k)
11 tokens where later buys were 2.3x larger
Later buys on losing positions
TOTAL BEHAVIORAL DRAG
-435.3 SOL($33.8k)
CIRCADIAN PROFILE
WORST: 5PM
12a21
1a22
2a33
3a31
4a20
5a18
6a10
7a13
8a15
9a11
10a18
11a21
12p26
1p28
2p21
3p15
4p7
5p1
6p2
10p2
11p15
Night (11PM–5AM): -0.898 SOL/trade · Day (8AM–8PM): -0.9273 SOL/trade
DISPOSITION EFFECT
1.7x
WINNER HOLD
3m
LOSER HOLD
4m
You hold losers 1.7x longer than winners.
SESSION FATIGUE
185 SESSIONS
#1
-0.7566
#2
-0.918
#3
-0.9963
#4
-0.9113
#5
-0.7043
#6
-1.1371
#7
-1.2673
#8
-0.8813
Avg session: 1.9 trades. Dominant pattern: Loss from the Start (92%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
36m
BASELINE GAP
35m
79 trades opened within 10 min of a loss. Loss rate on these: 96%
EQUITY CURVE
DISCIPLINED: +213.6 SOL
Peak: +1.404 SOL at token #1
Max drawdown: 316.6 SOL
- - - = you without 202 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 471.8 SOL (138% of total losses)
1
STOP BUYING ON PUMP_FUN
338 tokens from PUMP_FUN: 0% WR, -339.608 SOL net
→ Would save ~203.8 SOL
2
DON'T TRADE 5PM–8PM
Late-night avg: -0.898 SOL vs -0.9273 daytime
→ Would save ~127.5 SOL
3
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 96% vs 98% baseline
→ Would save ~82.6 SOL
4
AVOID TRADING ON WEDS
WED avg: -1.1886 SOL across 35 trades
→ Would save ~29.1 SOL
5
NEVER ADD TO A LOSING POSITION
Later buys on losers are 2.3x larger than first buy
→ Would save ~28.8 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.
GxfU...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
3.036 SOL
-100.0%
6.0/10
Full autopsy →
3ETw...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
2.662 SOL
-100.0%
6.0/10
Full autopsy →
4WPa...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
2.553 SOL
-100.0%
6.0/10
Full autopsy →
FNAw...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
2.452 SOL
-100.0%
6.0/10
Full autopsy →
AGL8...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
2.438 SOL
-100.0%
5.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.