REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 5329Z6doAhFWdagTXimG74jjUErhWax8vwfyfB9fvh4x
F
Behavioral Grade
F
20 / 100
Wallet Death Certificate
At your current pace, your capital halves every 0.1 days.
5329Z6doAhFWdagTXimG74jjUErhWax8vwfyfB9fvh4x
62% of your losses are behavioral — not bad picks, bad habits. That's 657.979 SOL.
Your brain cost you
658.0 SOL
$51.0k behavioral damage
Survival prob.
0%
63 wins to break even
Capital half-life
0.1d
Bleed rate
3.703 SOL/hr
Win rate
0.4%
Net P&L
1.0k SOL
Win rate
0.4%
Profit factor
0.05
Tokens
671
SOL in
1.1k
SOL out
77.0
Primary
Diagnosis
62% of attributed damage came from recurring behavior, not market noise — sizing, tilt, timing.
§ 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.
+658.0 SOL
Catchable Losses
347 / 668
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
668 losses
Fast re-entry
191x
Bigger size
64 tokens
Late entry
Held collapse
Stages Fired
3 / 5
Fast Re-entries
191x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-268.0 SOL($20.8k)
64 tokens where later buys were 1.8x larger
Later buys on losing positions
😤
Revenge Trading
-242.6 SOL($18.8k)
191 trades within 10 min of a loss
Win rate on these: 0%
Late Night Trading
-204.7 SOL($15.9k)
147 trades between 11PM–5AM
Best hours: 10PM
😴
Session Fatigue
-39.6 SOL($3.1k)
After trade #65, avg P&L drops to -1.933 SOL
Trade #1 avg: -1.2823 SOL
TOTAL BEHAVIORAL DRAG
-754.9 SOL($58.5k)
CIRCADIAN PROFILE
WORST: 4PM
12a14
1a20
2a33
3a30
4a34
5a36
6a17
7a21
8a21
9a23
10a16
11a22
12p36
1p44
2p43
3p37
4p56
5p50
6p30
7p11
8p22
9p19
10p20
11p16
Night (11PM–5AM): -1.3923 SOL/trade · Day (8AM–8PM): -1.6251 SOL/trade
DISPOSITION EFFECT
0.3x
WINNER HOLD
2.8d
LOSER HOLD
18.2h
You hold losers 0.3x longer than winners.
SESSION FATIGUE
41 SESSIONS
#1
-1.2823
#2
-1.4806
#3
-4.2567
#4
-1.5554
#5
-1.419
#6
-1.385
#7
-1.6047
#8
-1.4185
Avg session: 16.4 trades. Dominant pattern: Loss from the Start (100%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
7m
BASELINE GAP
7m
191 trades opened within 10 min of a loss. Loss rate on these: 100%
EQUITY CURVE
DISCIPLINED: +658.0 SOL
Peak: +100.6 SOL at token #1
Max drawdown: 917.9 SOL
- - - = you without 347 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 1.4k SOL (131% of total losses)
1
STOP BUYING ON PUMP_FUN
666 tokens from PUMP_FUN: 0% WR, -966.111 SOL net
→ Would save ~579.7 SOL
2
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 100% vs 100% baseline
→ Would save ~242.6 SOL
3
DON'T TRADE 4PM–7PM
Late-night avg: -1.3923 SOL vs -1.6251 daytime
→ Would save ~204.7 SOL
4
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 1.637 SOL vs 1.053 after win (1.55x)
→ Would save ~194.7 SOL
5
NEVER ADD TO A LOSING POSITION
Later buys on losers are 1.8x larger than first buy
→ Would save ~179.6 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.
Es9v...wNYB
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
100.6 SOL
-79.5%
3.5/10
Full autopsy →
B9J6...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
5.450 SOL
-100.0%
5.0/10
Full autopsy →
59V1...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
5.420 SOL
-100.0%
5.0/10
Full autopsy →
Erud...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
4.850 SOL
-100.0%
5.0/10
Full autopsy →
5bnz...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
4.795 SOL
-100.0%
5.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.