REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / AQ2BpJqD8MaJjN18t3PkHmCrPDtX4SkNjytSZwVDQKiQ
F
Behavioral Grade
F
21 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
AQ2BpJqD8MaJjN18t3PkHmCrPDtX4SkNjytSZwVDQKiQ
At your current pace, your capital halves every 0.5 days.
Your brain cost you
40.7 SOL
$3.2k behavioral damage
Survival prob.
0%
84 wins to break even
Capital half-life
0.5d
Bleed rate
0.119 SOL/hr
Win rate
14.6%
Net P&L
76.0 SOL
Win rate
14.6%
Profit factor
0.22
Tokens
164
SOL in
120.4
SOL out
44.4
Primary
Diagnosis
42% 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.
42%
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.
+40.7 SOL
Catchable Losses
52 / 140
Behavioral Drag
42%
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
140 losses
Fast re-entry
11x
Bigger size
10 tokens
Late entry
Held collapse
Stages Fired
3 / 5
Fast Re-entries
11x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-17.6 SOL($1.4k)
10 tokens where later buys were 1.5x larger
Later buys on losing positions
😴
Session Fatigue
-17.3 SOL($1.3k)
After trade #14, avg P&L drops to -0.6926 SOL
Trade #1 avg: -0.3827 SOL
Late Night Trading
-17.0 SOL($1.3k)
24 trades between 11PM–5AM
Best hours: 1PM
😤
Revenge Trading
-6.630 SOL($515.86)
11 trades within 10 min of a loss
Win rate on these: 0%
TOTAL BEHAVIORAL DRAG
-58.6 SOL($4.6k)
CIRCADIAN PROFILE
WORST: 2AM
12a8
1a3
2a3
3a1
5a1
6a4
7a4
8a3
9a9
10a11
11a8
12p15
1p6
2p2
3p4
4p12
5p13
6p12
7p9
8p7
9p13
10p7
11p9
Night (11PM–5AM): -0.7073 SOL/trade · Day (8AM–8PM): -0.3653 SOL/trade
DISPOSITION EFFECT
0.5x
WINNER HOLD
21.7d
LOSER HOLD
11.8d
You hold losers 0.5x longer than winners.
SESSION FATIGUE
50 SESSIONS
#1
-0.3827
#2
-0.2943
#3
-0.1266
#4
-0.6027
#5
-0.7292
#6
-0.5808
#7
-0.9075
#8
-0.5297
Avg session: 3.3 trades. Dominant pattern: Loss from the Start (64%)
POST-LOSS VELOCITY
1.2x FASTER
POST-LOSS GAP
2.0h
BASELINE GAP
2.3h
11 trades opened within 10 min of a loss. Loss rate on these: 100%
EQUITY CURVE
DISCIPLINED: +40.7 SOL
Peak: +4.629 SOL at token #17
Max drawdown: 80.6 SOL
- - - = you without 52 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 114.0 SOL (117% of total losses)
1
STOP BUYING ON JUPITER
136 tokens from JUPITER: 4% WR, -87.093 SOL net
→ Would save ~52.3 SOL
2
NEVER ADD TO A LOSING POSITION
Later buys on losers are 1.5x larger than first buy
→ Would save ~20.3 SOL
3
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 0.7716 SOL vs 0.5154 after win (1.5x)
→ Would save ~17.8 SOL
4
DON'T TRADE 2AM–5AM
Late-night avg: -0.7073 SOL vs -0.3653 daytime
→ Would save ~17.0 SOL
5
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 100% vs 85% baseline
→ Would save ~6.630 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.
Dssg...wtCT
Never sold. Still holding. Still hoping.
The Bag Holder
1.843 SOL
-100.0%
7.0/10
Full autopsy →
H4DH...xdwx
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
1.587 SOL
-63.2%
3.5/10
Full autopsy →
9g1s...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
1.562 SOL
-84.0%
5.0/10
Full autopsy →
Aw4d...1AzM
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
1.539 SOL
-82.5%
5.0/10
Full autopsy →
Dy19...UmJ8
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
1.536 SOL
-71.8%
3.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.