REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / C4SfVuZn16MuexBFb8VL6tNzHkk6UVFuQg3s1HaAMmxB
F
Behavioral Grade
F
11 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
C4SfVuZn16MuexBFb8VL6tNzHkk6UVFuQg3s1HaAMmxB
At your current pace, your capital halves every 0 days.
Your brain cost you
348.4 SOL
$27.1k behavioral damage
Survival prob.
0%
163 wins to break even
Capital half-life
0d
Bleed rate
7.143 SOL/hr
Win rate
8.5%
Net P&L
443.0 SOL
Win rate
8.5%
Profit factor
0.15
Tokens
341
SOL in
907.6
SOL out
464.6
Primary
Diagnosis
67% 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.
67%
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.
+348.4 SOL
Catchable Losses
192 / 312
Behavioral Drag
67%
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
312 losses
Fast re-entry
150x
Bigger size
13 tokens
Late entry
Held collapse
2.5x hold
Stages Fired
4 / 5
Fast Re-entries
150x
BEHAVIORAL DAMAGE REPORT
😤
Revenge Trading
-231.8 SOL($18.1k)
150 trades within 10 min of a loss
Win rate on these: 6%
📈
Averaging Down
-79.6 SOL($6.2k)
13 tokens where later buys were 2.3x larger
Later buys on losing positions
Late Night Trading
-57.9 SOL($4.5k)
38 trades between 11PM–5AM
Best hours: 10PM
😴
Session Fatigue
-44.5 SOL($3.5k)
After trade #26, avg P&L drops to -1.745 SOL
Trade #1 avg: -1.3253 SOL
💎
Diamond Hand Delusion
-37.0 SOL($2.9k)
Held losers 2.5x longer than winners
Winners: 35m · Losers: 1.5h
TOTAL BEHAVIORAL DRAG
-450.9 SOL($35.1k)
CIRCADIAN PROFILE
WORST: 7PM
12a17
1a4
7a1
8a1
9a6
10a13
11a18
12p32
1p42
2p34
3p27
4p16
5p18
6p28
7p20
8p9
9p18
10p20
11p17
Night (11PM–5AM): -1.5245 SOL/trade · Day (8AM–8PM): -1.3264 SOL/trade
DISPOSITION EFFECT
2.5x
WINNER HOLD
35m
LOSER HOLD
1.5h
You hold losers 2.5x longer than winners.
SESSION FATIGUE
51 SESSIONS
#1
-1.3253
#2
-1.2059
#3
-1.0324
#4
-1.3916
#5
-1.4645
#6
-1.5855
#7
-1.7157
#8
-1.9943
Avg session: 6.7 trades. Dominant pattern: Loss from the Start (76%)
POST-LOSS VELOCITY
1.1x FASTER
POST-LOSS GAP
7m
BASELINE GAP
7m
150 trades opened within 10 min of a loss. Loss rate on these: 94%
EQUITY CURVE
DISCIPLINED: +348.4 SOL
Peak: +1.865 SOL at token #1
Max drawdown: 441.1 SOL
- - - = you without 192 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 816.7 SOL (156% of total losses)
1
STOP BUYING ON PUMP_FUN
275 tokens from PUMP_FUN: 3% WR, -411.688 SOL net
→ Would save ~247.0 SOL
2
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 94% vs 92% baseline
→ Would save ~231.8 SOL
3
NEVER ADD TO A LOSING POSITION
Later buys on losers are 2.3x larger than first buy
→ Would save ~213.1 SOL
4
AVOID TRADING ON SATS
SAT avg: -1.8379 SOL across 52 trades
→ Would save ~66.9 SOL
5
DON'T TRADE 7PM–10PM
Late-night avg: -1.5245 SOL vs -1.3264 daytime
→ Would save ~57.9 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.
D3NX...pump
Panic sold within minutes. Fear won.
The Paper Hand
9.389 SOL
-55.9%
5.5/10
Full autopsy →
E6cy...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
7.189 SOL
-100.0%
7.0/10
Full autopsy →
DSg9...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
6.370 SOL
-100.0%
8.0/10
Full autopsy →
HgZF...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
6.199 SOL
-76.0%
4.5/10
Full autopsy →
skDG...pump
Panic sold within minutes. Fear won.
The Paper Hand
6.170 SOL
-21.9%
5.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.