REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 5GpvY8QhjTNxKkDqJfsz7DLWD3ocjCyQdNcLsxKVTTTe
D
Behavioral Grade
D
44 / 100
Wallet Autopsy Report
The math gives you a 99% chance of going to zero.
5GpvY8QhjTNxKkDqJfsz7DLWD3ocjCyQdNcLsxKVTTTe
At your current pace, your capital halves every 0.2 days.
Your brain cost you
1.199 SOL
≈ $93.25 behavioral damage
Survival prob.
—
Capital half-life
0.2d
Bleed rate
0.0059 SOL/hr
Win rate
34.2%
Net P&L
+0.212 SOL
Win rate
34.2%
Profit factor
1.1
Tokens
234
SOL in
5.441
SOL out
5.654
Primary
Diagnosis
59% of attributed damage came from recurring behavior, not market noise — sizing, tilt.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
59%
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.
+1.199 SOL
Catchable Losses
48 / 154
Behavioral Drag
59%
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
154 losses
→
Fast re-entry
26x
→
Bigger size
8 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
26x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-0.927 SOL($72.04)
8 tokens where later buys were 2.9x larger
Later buys on losing positions
😴
Session Fatigue
-0.699 SOL($54.37)
After trade #28, avg P&L drops to -0.0333 SOL
Trade #1 avg: +0.0031 SOL
😤
Revenge Trading
-0.273 SOL($21.21)
26 trades within 10 min of a loss
Win rate on these: 23%
🌀
Tilt Cascade
Each loss makes your next trade 10.5x worse
SIZE: 1.75x bigger · LOSS RATE: 79% vs 66% · FATIGUE: Trade #1: +0.0031 → #28: -0.0333
TOTAL BEHAVIORAL DRAG
-1.899 SOL($147.62)
CIRCADIAN PROFILE
WORST: 11AM▾
12a4
1a6
2a2
3a5
4a5
5a5
6a1
7a8
8a19
9a3
10a7
11a4
12p12
1p24
2p29
3p54
4p22
5p12
6p5
10p5
11p2
Night (11PM–5AM): +0.0002 SOL/trade · Day (8AM–8PM): +0.0004 SOL/trade
DISPOSITION EFFECT
0.2x▾
WINNER HOLD
2.7d
LOSER HOLD
9.9h
You hold losers 0.2x longer than winners.
SESSION FATIGUE
42 SESSIONS▾
#1
+0.0031
#2
+0.0016
#3
+0.0013
#4
-0.0007
#5
+0.0051
#6
+0.0194
#7
+0.0082
#8
-0.0031
Avg session: 5.6 trades. Dominant pattern: Loss from the Start (35%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
26m
BASELINE GAP
7m
26 trades opened within 10 min of a loss. Loss rate on these: 77%
EQUITY CURVE
DISCIPLINED: +1.199 SOL▾
Peak: +0.218 SOL at token #231
Max drawdown: 0.455 SOL
- - - = you without 48 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 3.219 SOL (159% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 2.9x larger than first buy
→ Would save ~1.067 SOL
2
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 0.0272 SOL vs 0.0155 after win (1.75x)
→ Would save ~0.901 SOL
3
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: +0.0031 SOL → Trade #28 avg: -0.0333 SOL
→ Would save ~0.619 SOL
4
STOP BUYING ON PUMP_FUN
50 tokens from PUMP_FUN: 2% WR, -0.5985 SOL net
→ Would save ~0.359 SOL
5
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 77% vs 66% baseline
→ Would save ~0.273 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
Never sold. Still holding. Still hoping.
The Bag Holder
−0.152 SOL
-100.0%
9.0/10
Full autopsy →
9DNF...dWaM
Never sold. Still holding. Still hoping.
The Bag Holder
−0.070 SOL
-100.0%
7.0/10
Full autopsy →
GPB2...7iwC
Watched it die slowly and did nothing.
The Slow Bleeder
−0.062 SOL
-77.1%
2.5/10
Full autopsy →
4orV...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−0.055 SOL
-100.0%
5.0/10
Full autopsy →
28JE...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−0.054 SOL
-100.0%
7.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.