REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 5ErKkEaWtgjNXoqY7qGzN73zvjfesDCGD4xbifWECLmB
F
Behavioral Grade
F
14 / 100
Wallet Death Certificate
At your current pace, your capital halves every 0.1 days.
5ErKkEaWtgjNXoqY7qGzN73zvjfesDCGD4xbifWECLmB
92% of your losses are behavioral — not bad picks, bad habits. That's 239.467 SOL.
Your brain cost you
239.5 SOL
≈ $18.8k behavioral damage
Survival prob.
0%
128 wins to break even
Capital half-life
0.1d
Bleed rate
5.511 SOL/hr
Win rate
0.6%
Net P&L
−252.8 SOL
Win rate
0.6%
Profit factor
0.04
Tokens
771
SOL in
272.4
SOL out
19.6
Primary
Diagnosis
91% 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.
91%
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.
+239.5 SOL
Catchable Losses
210 / 305
Behavioral Drag
91%
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
305 losses
→
Fast re-entry
131x
→
Bigger size
19 tokens
→
Late entry
→
Held collapse
1.9x hold
Stages Fired
4 / 5
Fast Re-entries
131x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-130.1 SOL($10.2k)
19 tokens where later buys were 6.1x larger
Later buys on losing positions
😤
Revenge Trading
-73.0 SOL($5.7k)
131 trades within 10 min of a loss
Win rate on these: 39%
⏰
Late Night Trading
-45.6 SOL($3.6k)
45 trades between 11PM–5AM
Best hours: 3AM
💎
Diamond Hand Delusion
-36.4 SOL($2.9k)
Held losers 1.9x longer than winners
Winners: 13m · Losers: 25m
TOTAL BEHAVIORAL DRAG
-285.1 SOL($22.4k)
CIRCADIAN PROFILE
WORST: 7AM▾
12a11
1a9
2a8
3a1
7a2
8a3
9a3
10a9
11a17
12p89
1p158
2p92
3p51
4p158
5p74
6p14
7p12
8p16
9p10
10p18
11p16
Night (11PM–5AM): -1.0142 SOL/trade · Day (8AM–8PM): -0.2486 SOL/trade
DISPOSITION EFFECT
1.9x▾
WINNER HOLD
13m
LOSER HOLD
25m
You hold losers 1.9x longer than winners.
SESSION FATIGUE
119 SESSIONS▾
#1
-0.9525
#2
-1.0365
#3
-0.6928
#4
-0.9648
#5
-0.7131
#6
-0.3457
#7
-0.2324
#8
-0.4532
Avg session: 6.5 trades. Dominant pattern: Loss from the Start (82%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
14m
BASELINE GAP
<1m
131 trades opened within 10 min of a loss. Loss rate on these: 61%
EQUITY CURVE
DISCIPLINED: +239.5 SOL▾
Peak: +0.060 SOL at token #1
Max drawdown: 252.7 SOL
- - - = you without 210 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 415.6 SOL (158% of total losses)
1
STOP BUYING ON PUMP_FUN
306 tokens from PUMP_FUN: 1% WR, -251.333 SOL net
→ Would save ~150.8 SOL
2
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 0.8047 SOL vs 0.0595 after win (13.52x)
→ Would save ~113.3 SOL
3
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 61% vs 99% baseline
→ Would save ~73.0 SOL
4
DON'T TRADE 7AM–10AM
Late-night avg: -1.0142 SOL vs -0.2486 daytime
→ Would save ~45.6 SOL
5
NEVER ADD TO A LOSING POSITION
Later buys on losers are 6.1x larger than first buy
→ Would save ~32.9 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.
7Qgz...pump
Watched it die slowly and did nothing.
The Slow Bleeder
−3.649 SOL
-65.3%
2.5/10
Full autopsy →
Cq5s...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−3.201 SOL
-100.0%
5.0/10
Full autopsy →
kwCC...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−3.181 SOL
-100.0%
6.0/10
Full autopsy →
43vu...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−3.135 SOL
-100.0%
6.0/10
Full autopsy →
CRU1...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−3.042 SOL
-100.0%
7.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.