REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / FwVy6M7jbNvkHC6WspxEBTU1xaFrD7YxyWgFAHcgaKnh
F
Behavioral Grade
F
20 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
FwVy6M7jbNvkHC6WspxEBTU1xaFrD7YxyWgFAHcgaKnh
At your current pace, your capital halves every 0.1 days.
Your brain cost you
44.5 SOL
≈ $2.9k behavioral damage
Survival prob.
0%
111 wins to break even
Capital half-life
0.1d
Bleed rate
0.300 SOL/hr
Win rate
18.5%
Net P&L
−38.7 SOL
Win rate
18.5%
Profit factor
0.24
Tokens
189
SOL in
70.0
SOL out
31.3
Primary
Diagnosis
87% 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.
87%
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.
+44.5 SOL
Catchable Losses
87 / 136
Behavioral Drag
87%
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
136 losses
→
Fast re-entry
32x
→
Bigger size
19 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
32x
BEHAVIORAL DAMAGE REPORT
😴
Session Fatigue
-61.0 SOL($4.0k)
After trade #22, avg P&L drops to -3.2985 SOL
Trade #1 avg: -0.0625 SOL
📈
Averaging Down
-29.2 SOL($1.9k)
19 tokens where later buys were 334.7x larger
Later buys on losing positions
⏰
Late Night Trading
-9.602 SOL($629.53)
47 trades between 11PM–5AM
Best hours: 12AM
😤
Revenge Trading
-1.924 SOL($126.11)
32 trades within 10 min of a loss
Win rate on these: 9%
TOTAL BEHAVIORAL DRAG
-101.8 SOL($6.7k)
CIRCADIAN PROFILE
WORST: 3AM▾
12a7
1a11
2a14
3a8
4a3
7a2
8a8
9a12
10a3
11a19
12p18
1p17
2p8
3p4
4p7
5p7
6p4
7p1
8p8
9p17
10p7
11p4
Night (11PM–5AM): -0.2043 SOL/trade · Day (8AM–8PM): -0.1558 SOL/trade
DISPOSITION EFFECT
1.2x▾
WINNER HOLD
2.6d
LOSER HOLD
3.1d
You hold losers 1.2x longer than winners.
SESSION FATIGUE
37 SESSIONS▾
#1
-0.0625
#2
-0.1023
#3
-0.2041
#4
-0.0299
#5
-0.3748
#6
-0.5603
#7
-0.5119
#8
+0.1798
Avg session: 5.1 trades. Dominant pattern: Loss from the Start (55%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
19m
BASELINE GAP
18m
32 trades opened within 10 min of a loss. Loss rate on these: 91%
EQUITY CURVE
DISCIPLINED: +44.5 SOL▾
Peak: +2.266 SOL at token #2
Max drawdown: 40.9 SOL
- - - = you without 87 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 139.5 SOL (274% of total losses)
1
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: -0.0625 SOL → Trade #22 avg: -3.2985 SOL
→ Would save ~58.2 SOL
2
NEVER ADD TO A LOSING POSITION
Later buys on losers are 334.7x larger than first buy
→ Would save ~35.9 SOL
3
CAP POSITIONS AT 0.185 SOL
14 oversized trades = 61% of total losses
→ Would save ~18.8 SOL
4
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 0.4322 SOL vs 0.2201 after win (1.96x)
→ Would save ~14.3 SOL
5
STOP BUYING ON PUMP_AMM
26 tokens from PUMP_AMM: 12% WR, -20.548 SOL net
→ Would save ~12.3 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.
8JBc...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−6.090 SOL
-96.4%
7.0/10
Full autopsy →
5tyG...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−3.957 SOL
-54.6%
4.5/10
Full autopsy →
DUG4...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−3.399 SOL
-66.4%
4.5/10
Full autopsy →
9UAt...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−3.234 SOL
-44.8%
4.5/10
Full autopsy →
3QsX...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−2.875 SOL
-96.7%
7.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.