REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 3kpCbRYWjAJt8uFRgmP7sVh1G42QGYGRn5954fvLvvD5
F
Behavioral Grade
F
14 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
3kpCbRYWjAJt8uFRgmP7sVh1G42QGYGRn5954fvLvvD5
At your current pace, your capital halves every 0.1 days.
Your brain cost you
596.6 SOL
$46.4k behavioral damage
Survival prob.
0%
239 wins to break even
Capital half-life
0.1d
Bleed rate
2.215 SOL/hr
Win rate
11.6%
Net P&L
615.3 SOL
Win rate
11.6%
Profit factor
0.16
Tokens
389
SOL in
1.9k
SOL out
1.3k
Primary
Diagnosis
82% 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.
82%
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.
+596.6 SOL
Catchable Losses
182 / 340
Behavioral Drag
82%
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
340 losses
Fast re-entry
71x
Bigger size
61 tokens
Late entry
Held collapse
1.6x hold
Stages Fired
4 / 5
Fast Re-entries
71x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-318.4 SOL($24.8k)
61 tokens where later buys were 14.8x larger
Later buys on losing positions
💎
Diamond Hand Delusion
-157.0 SOL($12.2k)
Held losers 1.6x longer than winners
Winners: 11.7h · Losers: 19.0h
Late Night Trading
-132.4 SOL($10.3k)
95 trades between 11PM–5AM
Best hours: 1AM
😤
Revenge Trading
-121.3 SOL($9.4k)
71 trades within 10 min of a loss
Win rate on these: 13%
TOTAL BEHAVIORAL DRAG
-729.0 SOL($56.7k)
CIRCADIAN PROFILE
WORST: 10PM
12a21
1a14
2a20
3a24
4a11
5a13
6a7
7a5
8a2
9a7
10a8
11a9
12p26
1p20
2p22
3p22
4p21
5p28
6p29
7p30
8p20
9p17
10p8
11p5
Night (11PM–5AM): -1.3932 SOL/trade · Day (8AM–8PM): -1.411 SOL/trade
DISPOSITION EFFECT
1.6x
WINNER HOLD
11.7h
LOSER HOLD
19.0h
You hold losers 1.6x longer than winners.
SESSION FATIGUE
89 SESSIONS
#1
-2.173
#2
-2.0064
#3
-1.278
#4
-2.1567
#5
-0.9104
#6
-1.3675
#7
-0.3757
#8
-1.4038
Avg session: 4.4 trades. Dominant pattern: Loss from the Start (71%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
18m
BASELINE GAP
16m
71 trades opened within 10 min of a loss. Loss rate on these: 87%
EQUITY CURVE
DISCIPLINED: +596.6 SOL
Peak: +2.976 SOL at token #6
Max drawdown: 618.3 SOL
- - - = you without 182 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 1.8k SOL (244% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 14.8x larger than first buy
→ Would save ~998.6 SOL
2
CAP POSITIONS AT 2.483 SOL
34 oversized trades = 55% of total losses
→ Would save ~242.8 SOL
3
STOP BUYING ON PUMP_AMM
107 tokens from PUMP_AMM: 16% WR, -348.877 SOL net
→ Would save ~209.3 SOL
4
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 5.129 SOL vs 3.945 after win (1.3x)
→ Would save ~200.6 SOL
5
DON'T TRADE 10PM–1AM
Late-night avg: -1.3932 SOL vs -1.411 daytime
→ Would save ~132.4 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.
GACe...HV52
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
30.7 SOL
-88.8%
6.0/10
Full autopsy →
Gu7J...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
25.4 SOL
-27.9%
4.5/10
Full autopsy →
D2Cz...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
24.4 SOL
-81.3%
6.0/10
Full autopsy →
9gBz...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
22.1 SOL
-37.8%
4.5/10
Full autopsy →
89BZ...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
18.8 SOL
-45.0%
4.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.