REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / GjBFxxo5SLGwX9i9tQbzPUy5shWfHKLSEndbZ9VeNDFz
F
Behavioral Grade
F
20 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
GjBFxxo5SLGwX9i9tQbzPUy5shWfHKLSEndbZ9VeNDFz
At your current pace, your capital halves every 0.2 days.
Your brain cost you
618.3 SOL
≈ $48.1k behavioral damage
Survival prob.
0%
482 wins to break even
Capital half-life
0.2d
Bleed rate
1.261 SOL/hr
Win rate
19.8%
Net P&L
−810.5 SOL
Win rate
19.8%
Profit factor
0.13
Tokens
369
SOL in
1.2k
SOL out
428.1
Primary
Diagnosis
66% of attributed damage came from recurring behavior, not market noise — sizing, tilt, timing.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
66%
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.
+618.3 SOL
Catchable Losses
130 / 288
Behavioral Drag
66%
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
288 losses
→
Fast re-entry
43x
→
Bigger size
37 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
43x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-505.4 SOL($39.3k)
37 tokens where later buys were 10501.3x larger
Later buys on losing positions
😴
Session Fatigue
-152.5 SOL($11.9k)
After trade #10, avg P&L drops to -2.3108 SOL
Trade #1 avg: -0.8611 SOL
😤
Revenge Trading
-66.0 SOL($5.1k)
43 trades within 10 min of a loss
Win rate on these: 23%
⏰
Late Night Trading
-47.5 SOL($3.7k)
25 trades between 11PM–5AM
Best hours: 11PM
TOTAL BEHAVIORAL DRAG
-771.4 SOL($60.0k)
CIRCADIAN PROFILE
WORST: 12PM▾
12a4
3a5
4a14
5a17
6a15
7a16
8a16
9a24
10a32
11a19
12p17
1p20
2p25
3p19
4p16
5p12
6p18
7p16
8p35
9p21
10p6
11p2
Night (11PM–5AM): -1.9017 SOL/trade · Day (8AM–8PM): -2.1654 SOL/trade
DISPOSITION EFFECT
1x▾
WINNER HOLD
1.4d
LOSER HOLD
1.4d
You hold losers 1x longer than winners.
SESSION FATIGUE
132 SESSIONS▾
#1
-0.8611
#2
-2.8702
#3
-3.2744
#4
-4.082
#5
-1.3674
#6
-3.1469
#7
-2.7079
#8
+1.0534
Avg session: 2.8 trades. Dominant pattern: Loss from the Start (42%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
1.4h
BASELINE GAP
45m
43 trades opened within 10 min of a loss. Loss rate on these: 77%
EQUITY CURVE
DISCIPLINED: +618.3 SOL▾
Peak: +0.323 SOL at token #1
Max drawdown: 810.2 SOL
- - - = you without 130 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 979.3 SOL (105% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 10501.3x larger than first buy
→ Would save ~386.4 SOL
2
STOP BUYING ON DFLOW
205 tokens from DFLOW: 15% WR, -539.426 SOL net
→ Would save ~323.7 SOL
3
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 3.525 SOL vs 2.796 after win (1.26x)
→ Would save ~104.7 SOL
4
AVOID TRADING ON TUES
TUE avg: -2.8155 SOL across 50 trades
→ Would save ~98.5 SOL
5
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 77% vs 80% baseline
→ Would save ~66.0 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.
buZE...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−41.7 SOL
-79.3%
3.5/10
Full autopsy →
3tVP...p9Wa
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−24.2 SOL
-66.1%
3.5/10
Full autopsy →
2HE1...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−23.1 SOL
-86.5%
6.0/10
Full autopsy →
cZre...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−19.9 SOL
-62.8%
4.5/10
Full autopsy →
DD93...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−18.4 SOL
-78.6%
4.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.