REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / CANx1apAmTFCrHWD8YU4iYNmeY6gCHZRxxQqh23Jo8iJ
F
Behavioral Grade
F
25 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
CANx1apAmTFCrHWD8YU4iYNmeY6gCHZRxxQqh23Jo8iJ
At your current pace, your capital halves every 0.1 days.
Your brain cost you
754.8 SOL
≈ $75.3k behavioral damage
Survival prob.
0%
29 wins to break even
Capital half-life
0.1d
Bleed rate
5.886 SOL/hr
Win rate
12.4%
Net P&L
−484.6 SOL
Win rate
12.4%
Profit factor
0.54
Tokens
266
SOL in
3.5k
SOL out
3.0k
Primary
Diagnosis
72% 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.
72%
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.
+754.8 SOL
Catchable Losses
128 / 220
Behavioral Drag
72%
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
220 losses
→
Fast re-entry
86x
→
Bigger size
26 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
86x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-404.7 SOL($40.4k)
26 tokens where later buys were 4.9x larger
Later buys on losing positions
😤
Revenge Trading
-245.7 SOL($24.5k)
86 trades within 10 min of a loss
Win rate on these: 8%
😴
Session Fatigue
-113.4 SOL($11.3k)
After trade #17, avg P&L drops to -3.7801 SOL
Trade #1 avg: -1.0745 SOL
⏰
Late Night Trading
-101.9 SOL($10.2k)
13 trades between 11PM–5AM
Best hours: 5PM
TOTAL BEHAVIORAL DRAG
-865.6 SOL($86.3k)
CIRCADIAN PROFILE
WORST: 1AM▾
12a3
1a2
2a2
5a3
6a13
7a11
8a21
9a18
10a13
11a13
12p17
1p10
2p15
3p13
4p13
5p9
6p21
7p18
8p17
9p21
10p7
11p6
Night (11PM–5AM): -7.8347 SOL/trade · Day (8AM–8PM): -1.6104 SOL/trade
DISPOSITION EFFECT
0.4x▾
WINNER HOLD
11.5h
LOSER HOLD
4.9h
You hold losers 0.4x longer than winners.
SESSION FATIGUE
60 SESSIONS▾
#1
-1.0745
#2
+3.2022
#3
-5.7491
#4
-0.0844
#5
-5.196
#6
-4.1485
#7
-2.5412
#8
-2.9294
Avg session: 4.4 trades. Dominant pattern: Loss from the Start (49%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
6m
BASELINE GAP
6m
86 trades opened within 10 min of a loss. Loss rate on these: 92%
EQUITY CURVE
DISCIPLINED: +754.8 SOL▾
Peak: +1.005 SOL at token #1
Max drawdown: 483.6 SOL
- - - = you without 128 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 2.0k SOL (194% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 4.9x larger than first buy
→ Would save ~994.5 SOL
2
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 13.755 SOL vs 10.246 after win (1.34x)
→ Would save ~384.3 SOL
3
STOP BUYING ON PUMP_FUN
170 tokens from PUMP_FUN: 6% WR, -502.775 SOL net
→ Would save ~301.7 SOL
4
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 92% vs 88% baseline
→ Would save ~245.7 SOL
5
AVOID TRADING ON TUES
TUE avg: -4.7167 SOL across 32 trades
→ Would save ~105.7 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.
C8rZ...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−68.0 SOL
-83.0%
6.0/10
Full autopsy →
EkJu...BAGS
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−58.8 SOL
-76.4%
4.5/10
Full autopsy →
Feyc...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−42.2 SOL
-40.3%
4.5/10
Full autopsy →
27BB...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−29.4 SOL
-36.7%
4.5/10
Full autopsy →
GAd4...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−27.1 SOL
-19.4%
4.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.