REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / GpdU47jiKZ1bRxvNRoBPnfFUoXRJprJ47K97SgaXp7Qj
F
Behavioral Grade
F
18 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
GpdU47jiKZ1bRxvNRoBPnfFUoXRJprJ47K97SgaXp7Qj
At your current pace, your capital halves every 0 days.
Your brain cost you
363.7 SOL
≈ $28.2k behavioral damage
Survival prob.
0%
28 wins to break even
Capital half-life
0d
Bleed rate
7.829 SOL/hr
Win rate
5%
Net P&L
−234.1 SOL
Win rate
5%
Profit factor
0.48
Tokens
520
SOL in
496.1
SOL out
262.0
Primary
Diagnosis
81% of attributed damage came from recurring behavior, not market noise — tilt, sizing, timing.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
81%
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.
+363.7 SOL
Catchable Losses
218 / 285
Behavioral Drag
81%
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
285 losses
→
Fast re-entry
207x
→
Bigger size
5 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
207x
BEHAVIORAL DAMAGE REPORT
😤
Revenge Trading
-261.1 SOL($20.2k)
207 trades within 10 min of a loss
Win rate on these: 17%
📈
Averaging Down
-74.5 SOL($5.8k)
5 tokens where later buys were 1.3x larger
Later buys on losing positions
⏰
Late Night Trading
-43.4 SOL($3.4k)
57 trades between 11PM–5AM
Best hours: 3PM
😴
Session Fatigue
-28.7 SOL($2.2k)
After trade #31, avg P&L drops to -0.6759 SOL
Trade #1 avg: -0.1658 SOL
🌀
Tilt Cascade
Each loss makes your next trade 3.5x worse
SPEED: 1.7x faster · SIZE: 2.05x bigger
TOTAL BEHAVIORAL DRAG
-407.7 SOL($31.6k)
CIRCADIAN PROFILE
WORST: 2AM▾
12a3
2a12
3a21
4a21
5a36
6a22
7a58
8a83
9a32
10a47
11a67
12p45
1p34
2p20
3p19
Night (11PM–5AM): -0.7608 SOL/trade · Day (8AM–8PM): -0.4872 SOL/trade
DISPOSITION EFFECT
0x▾
WINNER HOLD
14.6h
LOSER HOLD
<1m
You hold losers 0x longer than winners.
SESSION FATIGUE
85 SESSIONS▾
#1
-0.1658
#2
-0.1841
#3
-0.3843
#4
-0.7353
#5
+0.0173
#6
-0.3215
#7
-1.1426
#8
+0.1777
Avg session: 6.1 trades. Dominant pattern: Unpredictable (69%)
POST-LOSS VELOCITY
1.7x FASTER▾
POST-LOSS GAP
3m
BASELINE GAP
5m
207 trades opened within 10 min of a loss. Loss rate on these: 83%
EQUITY CURVE
DISCIPLINED: +363.7 SOL▾
Peak: +0.0000 SOL at token #1
Max drawdown: 280.8 SOL
- - - = you without 218 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 760.3 SOL (168% of total losses)
1
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 83% vs 95% baseline
→ Would save ~261.1 SOL
2
STOP BUYING ON PUMP_FUN
285 tokens from PUMP_FUN: 2% WR, -404.715 SOL net
→ Would save ~242.8 SOL
3
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 1.244 SOL vs 0.6072 after win (2.05x)
→ Would save ~90.5 SOL
4
WAIT AT LEAST 5m BETWEEN TRADES
Fast trades lose 76% vs 44% for patient ones
→ Would save ~85.7 SOL
5
AVOID TRADING ON THUS
THU avg: -1.0708 SOL across 107 trades
→ Would save ~80.2 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.
55uF...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−7.038 SOL
-100.0%
6.0/10
Full autopsy →
ARun...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−5.375 SOL
-100.0%
5.0/10
Full autopsy →
3oAn...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−5.030 SOL
-100.0%
7.0/10
Full autopsy →
H5uP...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−4.338 SOL
-100.0%
7.0/10
Full autopsy →
62o9...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−4.236 SOL
-100.0%
7.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.