REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / FVdJHtgDXU8naLendaxjgHmWShckbbMtTrciHkqxuTeU
F
Behavioral Grade
F
12 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
FVdJHtgDXU8naLendaxjgHmWShckbbMtTrciHkqxuTeU
At your current pace, your capital halves every 9.1 days.
Your brain cost you
59.2 SOL
$4.6k behavioral damage
Survival prob.
0%
213 wins to break even
Capital half-life
9.1d
Bleed rate
0.068 SOL/hr
Win rate
12.5%
Net P&L
71.1 SOL
Win rate
12.5%
Profit factor
0.03
Tokens
56
SOL in
82.6
SOL out
11.5
Primary
Diagnosis
81% 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.
81%
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.
+59.2 SOL
Catchable Losses
29 / 49
Behavioral Drag
81%
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
49 losses
Fast re-entry
10x
Bigger size
12 tokens
Late entry
Held collapse
71.7x hold
Stages Fired
4 / 5
Fast Re-entries
10x
BEHAVIORAL DAMAGE REPORT
😴
Session Fatigue
-56.6 SOL($4.4k)
After trade #5, avg P&L drops to -3.772 SOL
Trade #1 avg: -0.6078 SOL
📈
Averaging Down
-31.1 SOL($2.4k)
12 tokens where later buys were 27.7x larger
Later buys on losing positions
Late Night Trading
-16.2 SOL($1.3k)
11 trades between 11PM–5AM
Best hours: 2PM
💎
Diamond Hand Delusion
-15.1 SOL($1.2k)
Held losers 71.7x longer than winners
Winners: 2.7h · Losers: 8.2d
😤
Revenge Trading
-13.0 SOL($1.0k)
10 trades within 10 min of a loss
Win rate on these: 10%
TOTAL BEHAVIORAL DRAG
-131.9 SOL($10.3k)
CIRCADIAN PROFILE
WORST: 10PM
12a2
1a2
2a4
3a1
5a1
7a1
8a4
9a3
10a3
11a4
2p4
3p5
4p2
6p3
7p8
8p4
9p2
10p1
11p2
Night (11PM–5AM): -1.4721 SOL/trade · Day (8AM–8PM): -0.9943 SOL/trade
DISPOSITION EFFECT
71.7x
WINNER HOLD
2.7h
LOSER HOLD
8.2d
You hold losers 71.7x longer than winners. This is extreme. Cut losers faster.
SESSION FATIGUE
30 SESSIONS
#1
-0.6078
#2
-1.0292
#3
-1.9129
#4
-2.4108
#5
-3.772
Avg session: 1.9 trades. Dominant pattern: Loss from the Start (75%)
POST-LOSS VELOCITY
1.2x FASTER
POST-LOSS GAP
11.3h
BASELINE GAP
13.3h
10 trades opened within 10 min of a loss. Loss rate on these: 90%
EQUITY CURVE
DISCIPLINED: +59.2 SOL
Peak: +8.678 SOL at token #9
Max drawdown: 62.9 SOL
- - - = you without 29 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 94.0 SOL (128% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 27.7x larger than first buy
→ Would save ~35.1 SOL
2
STOP BUYING ON PUMP_AMM
18 tokens from PUMP_AMM: 0% WR, -33.751 SOL net
→ Would save ~20.3 SOL
3
DON'T TRADE 10PM–1AM
Late-night avg: -1.4721 SOL vs -0.9943 daytime
→ Would save ~16.2 SOL
4
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 90% vs 88% baseline
→ Would save ~13.0 SOL
5
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: -0.6078 SOL → Trade #5 avg: -3.772 SOL
→ Would save ~9.493 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.
AaWV...pump
Never sold. Still holding. Still hoping.
The Bag Holder
9.280 SOL
-100.0%
9.0/10
Full autopsy →
4FkN...pump
Never sold. Still holding. Still hoping.
The Bag Holder
5.606 SOL
-100.0%
8.0/10
Full autopsy →
Cnmi...pump
Never sold. Still holding. Still hoping.
The Bag Holder
4.394 SOL
-100.0%
8.0/10
Full autopsy →
F1pp...bCP2
Never sold. Still holding. Still hoping.
The Bag Holder
3.405 SOL
-100.0%
8.0/10
Full autopsy →
6fra...pump
Never sold. Still holding. Still hoping.
The Bag Holder
3.336 SOL
-100.0%
8.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.