REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 7uDdckhD8UXEzgwjLy8aeJNaU9jHTR2mHf7v5GCXVwPr
F
Behavioral Grade
F
14 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
7uDdckhD8UXEzgwjLy8aeJNaU9jHTR2mHf7v5GCXVwPr
At your current pace, your capital halves every 0.2 days.
Your brain cost you
550.3 SOL
$42.9k behavioral damage
Survival prob.
0%
34 wins to break even
Capital half-life
0.2d
Bleed rate
1.702 SOL/hr
Win rate
11.7%
Net P&L
415.9 SOL
Win rate
11.7%
Profit factor
0.45
Tokens
231
SOL in
1.0k
SOL out
590.1
Primary
Diagnosis
73% of attributed damage came from recurring behavior, not market noise — sizing, timing, tilt.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
73%
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.
+550.3 SOL
Catchable Losses
101 / 203
Behavioral Drag
73%
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
203 losses
Fast re-entry
39x
Bigger size
24 tokens
Late entry
Held collapse
Stages Fired
3 / 5
Fast Re-entries
39x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-370.3 SOL($28.9k)
24 tokens where later buys were 391.1x larger
Later buys on losing positions
Late Night Trading
-111.2 SOL($8.7k)
52 trades between 11PM–5AM
Best hours: 2PM
😤
Revenge Trading
-53.8 SOL($4.2k)
39 trades within 10 min of a loss
Win rate on these: 5%
😴
Session Fatigue
-42.9 SOL($3.3k)
After trade #12, avg P&L drops to -1.2433 SOL
Trade #1 avg: -0.9947 SOL
TOTAL BEHAVIORAL DRAG
-578.3 SOL($45.1k)
CIRCADIAN PROFILE
WORST: 3AM
12a5
1a16
2a12
3a10
4a9
5a13
6a10
7a8
8a7
9a7
10a13
11a5
12p4
1p6
2p11
3p23
4p22
5p26
6p17
7p6
8p1
Night (11PM–5AM): -2.139 SOL/trade · Day (8AM–8PM): -1.7374 SOL/trade
DISPOSITION EFFECT
1.3x
WINNER HOLD
1.8d
LOSER HOLD
2.4d
You hold losers 1.3x longer than winners.
SESSION FATIGUE
69 SESSIONS
#1
-0.9947
#2
-3.2895
#3
-6.6671
#4
+10.5194
#5
-0.3905
#6
-2.4027
#7
-0.8365
#8
+0.0336
Avg session: 3.3 trades. Dominant pattern: Loss from the Start (68%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
28m
BASELINE GAP
25m
39 trades opened within 10 min of a loss. Loss rate on these: 95%
EQUITY CURVE
DISCIPLINED: +550.3 SOL
Peak: +112.9 SOL at token #36
Max drawdown: 528.9 SOL
- - - = you without 101 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 1.2k SOL (157% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 391.1x larger than first buy
→ Would save ~343.9 SOL
2
CAP POSITIONS AT 2.178 SOL
21 oversized trades = 62% of total losses
→ Would save ~280.2 SOL
3
STOP BUYING ON DFLOW
109 tokens from DFLOW: 6% WR, -353.828 SOL net
→ Would save ~212.3 SOL
4
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 4.610 SOL vs 2.671 after win (1.73x)
→ Would save ~195.9 SOL
5
AVOID TRADING ON FRIS
FRI avg: -4.7508 SOL across 46 trades
→ Would save ~153.0 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.
FZN7...8f1j
Token went to zero. Wallet went to therapy.
The Rug Victim
109.5 SOL
-98.6%
6.0/10
Full autopsy →
5gTP...coin
Token went to zero. Wallet went to therapy.
The Rug Victim
74.0 SOL
-99.9%
6.0/10
Full autopsy →
5tcV...emhn
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
60.3 SOL
-78.4%
3.5/10
Full autopsy →
gGFq...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
41.2 SOL
-97.0%
6.0/10
Full autopsy →
HLpt...7rf9
Token went to zero. Wallet went to therapy.
The Rug Victim
39.8 SOL
-99.7%
6.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.