REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 6MZK7gkkA5JBaYsBfc8jv5XeoBJYDzYKBSXfr3GTQQkH
F
Behavioral Grade
F
15 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
6MZK7gkkA5JBaYsBfc8jv5XeoBJYDzYKBSXfr3GTQQkH
At your current pace, your capital halves every 0.3 days.
Your brain cost you
12.2k SOL
≈ $949.4k behavioral damage
Survival prob.
0%
50 wins to break even
Capital half-life
0.3d
Bleed rate
16.6 SOL/hr
Win rate
20.6%
Net P&L
−6.7k SOL
Win rate
20.6%
Profit factor
0.48
Tokens
223
SOL in
33.5k
SOL out
26.8k
Primary
Diagnosis
94% 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.
94%
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.
+12.2k SOL
Catchable Losses
78 / 155
Behavioral Drag
94%
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
155 losses
→
Fast re-entry
20x
→
Bigger size
16 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
20x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-11.2k SOL($868.1k)
16 tokens where later buys were 1321829.1x larger
Later buys on losing positions
⏰
Late Night Trading
-672.0 SOL($52.3k)
68 trades between 11PM–5AM
Best hours: 3PM
😤
Revenge Trading
-176.6 SOL($13.7k)
20 trades within 10 min of a loss
Win rate on these: 20%
🌀
Tilt Cascade
Each loss makes your next trade 14.2x worse
SPEED: 1.3x faster · SIZE: 10.9x bigger
TOTAL BEHAVIORAL DRAG
-12.0k SOL($934.2k)
CIRCADIAN PROFILE
WORST: 8AM▾
12a10
1a14
2a21
3a17
4a6
5a7
6a7
7a10
8a11
9a14
10a9
11a4
12p8
1p5
2p13
3p16
4p12
5p12
6p5
7p5
8p8
9p6
10p3
Night (11PM–5AM): -9.8818 SOL/trade · Day (8AM–8PM): -49.8682 SOL/trade
DISPOSITION EFFECT
0.6x▾
WINNER HOLD
14.4d
LOSER HOLD
8.4d
You hold losers 0.6x longer than winners.
SESSION FATIGUE
80 SESSIONS▾
#1
-7.4096
#2
-121.0329
#3
-13.4359
#4
-12.5473
#5
-9.8944
#6
-17.4159
#7
+277.88
#8
-6.8804
Avg session: 2.8 trades. Dominant pattern: Loss from the Start (49%)
POST-LOSS VELOCITY
1.3x FASTER▾
POST-LOSS GAP
2.1h
BASELINE GAP
2.8h
20 trades opened within 10 min of a loss. Loss rate on these: 80%
EQUITY CURVE
DISCIPLINED: +12.2k SOL▾
Peak: +50.5 SOL at token #1
Max drawdown: 9.4k SOL
- - - = you without 78 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 53.3k SOL (410% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 1321829.1x larger than first buy
→ Would save ~21.5k SOL
2
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 208.970 SOL vs 19.175 after win (10.9x)
→ Would save ~14.6k SOL
3
CAP POSITIONS AT 75.079 SOL
16 oversized trades = 90% of total losses
→ Would save ~7.0k SOL
4
AVOID TRADING ON WEDS
WED avg: -194.982 SOL across 45 trades
→ Would save ~6.1k SOL
5
STOP BUYING ON JUPITER
201 tokens from JUPITER: 16% WR, -6745.258 SOL net
→ Would save ~4.0k 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.
EPjF...Dt1v
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−9.4k SOL
-35.8%
4.5/10
Full autopsy →
4UeL...BAGS
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−452.5 SOL
-46.0%
4.5/10
Full autopsy →
METv...mWQL
Token went to zero. Wallet went to therapy.
The Rug Victim
−400.0 SOL
-100.0%
6.0/10
Full autopsy →
7Hgf...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−222.2 SOL
-57.6%
4.5/10
Full autopsy →
9Avy...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−193.7 SOL
-44.4%
3.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.