REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / A1JiqjxdmUnmWRAixDVtL3pgmchaP7H8Kza4JoQqrnT4
F
Behavioral Grade
F
25 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
A1JiqjxdmUnmWRAixDVtL3pgmchaP7H8Kza4JoQqrnT4
At your current pace, your capital halves every 0.2 days.
Your brain cost you
301.5 SOL
≈ $23.7k behavioral damage
Survival prob.
0%
241 wins to break even
Capital half-life
0.2d
Bleed rate
0.521 SOL/hr
Win rate
20.5%
Net P&L
−318.7 SOL
Win rate
20.5%
Profit factor
0.28
Tokens
449
SOL in
957.3
SOL out
638.7
Primary
Diagnosis
68% 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.
68%
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.
+301.5 SOL
Catchable Losses
140 / 355
Behavioral Drag
68%
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
355 losses
→
Fast re-entry
45x
→
Bigger size
63 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
45x
BEHAVIORAL DAMAGE REPORT
😴
Session Fatigue
-359.6 SOL($28.3k)
After trade #11, avg P&L drops to -4.8272 SOL
Trade #1 avg: -0.5412 SOL
📈
Averaging Down
-236.0 SOL($18.6k)
63 tokens where later buys were 3187.5x larger
Later buys on losing positions
😤
Revenge Trading
-46.0 SOL($3.6k)
45 trades within 10 min of a loss
Win rate on these: 16%
⏰
Late Night Trading
-17.7 SOL($1.4k)
22 trades between 11PM–5AM
Best hours: 10AM
TOTAL BEHAVIORAL DRAG
-659.3 SOL($51.8k)
CIRCADIAN PROFILE
WORST: 9AM▾
12a6
1a1
4a3
5a7
6a15
7a16
8a13
9a27
10a20
11a26
12p22
1p23
2p14
3p26
4p38
5p35
6p24
7p40
8p32
9p34
10p15
11p12
Night (11PM–5AM): -0.8038 SOL/trade · Day (8AM–8PM): -0.6688 SOL/trade
DISPOSITION EFFECT
0.8x▾
WINNER HOLD
2.2d
LOSER HOLD
1.8d
You hold losers 0.8x longer than winners.
SESSION FATIGUE
149 SESSIONS▾
#1
-0.5412
#2
-0.7244
#3
-0.8342
#4
-0.5547
#5
-1.2758
#6
-1.3209
#7
-0.9783
#8
-0.3907
Avg session: 3 trades. Dominant pattern: Loss from the Start (49%)
POST-LOSS VELOCITY
1.1x FASTER▾
POST-LOSS GAP
49m
BASELINE GAP
52m
45 trades opened within 10 min of a loss. Loss rate on these: 84%
EQUITY CURVE
DISCIPLINED: +301.5 SOL▾
Peak: +4.371 SOL at token #10
Max drawdown: 323.0 SOL
- - - = you without 140 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 681.6 SOL (155% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 3187.5x larger than first buy
→ Would save ~244.6 SOL
2
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: -0.5412 SOL → Trade #11 avg: -4.8272 SOL
→ Would save ~210.0 SOL
3
STOP BUYING ON JUPITER
223 tokens from JUPITER: 12% WR, -224.072 SOL net
→ Would save ~134.4 SOL
4
AVOID TRADING ON MONS
MON avg: -1.2318 SOL across 54 trades
→ Would save ~46.6 SOL
5
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 84% vs 80% baseline
→ Would save ~46.0 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.
8J69...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−15.5 SOL
-100.0%
7.0/10
Full autopsy →
Dfh5...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−15.3 SOL
-100.0%
7.0/10
Full autopsy →
AbRM...8CxZ
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−12.5 SOL
-66.6%
3.5/10
Full autopsy →
C3Pr...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−9.421 SOL
-90.3%
5.0/10
Full autopsy →
4gx3...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−8.776 SOL
-100.0%
9.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.