REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / GTaZu9MdrUkt3DADo3EoiFTwo2v3e3Jm4prkU3e6doVT
F
Behavioral Grade
F
7 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
GTaZu9MdrUkt3DADo3EoiFTwo2v3e3Jm4prkU3e6doVT
At your current pace, your capital halves every 5 days.
Your brain cost you
190.4 SOL
$14.0k behavioral damage
Survival prob.
0%
54 wins to break even
Capital half-life
5d
Bleed rate
0.052 SOL/hr
Win rate
9.9%
Net P&L
226.4 SOL
Win rate
9.9%
Profit factor
0.16
Tokens
101
SOL in
396.9
SOL out
170.4
Primary
Diagnosis
71% 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.
71%
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.
+190.4 SOL
Catchable Losses
39 / 90
Behavioral Drag
71%
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
90 losses
Fast re-entry
5x
Bigger size
18 tokens
Late entry
Held collapse
7.3x hold
Stages Fired
4 / 5
Fast Re-entries
5x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-109.7 SOL($8.0k)
18 tokens where later buys were 117.5x larger
Later buys on losing positions
💎
Diamond Hand Delusion
-72.3 SOL($5.3k)
Held losers 7.3x longer than winners
Winners: 2.6d · Losers: 19.3d
😴
Session Fatigue
-68.5 SOL($5.0k)
After trade #6, avg P&L drops to -2.1073 SOL
Trade #1 avg: -1.7894 SOL
Late Night Trading
-67.7 SOL($5.0k)
19 trades between 11PM–5AM
Best hours: 5AM
😤
Revenge Trading
-8.400 SOL($615.75)
5 trades within 10 min of a loss
Win rate on these: 20%
TOTAL BEHAVIORAL DRAG
-326.6 SOL($23.9k)
CIRCADIAN PROFILE
WORST: 5PM
12a4
2a3
3a4
4a7
5a4
6a9
7a8
8a2
9a3
10a8
11a6
12p5
1p6
2p12
3p6
4p4
5p2
7p5
10p2
11p1
Night (11PM–5AM): -3.5639 SOL/trade · Day (8AM–8PM): -2.0806 SOL/trade
DISPOSITION EFFECT
7.3x
WINNER HOLD
2.6d
LOSER HOLD
19.3d
You hold losers 7.3x longer than winners. This is extreme. Cut losers faster.
SESSION FATIGUE
65 SESSIONS
#1
-1.7894
#2
-2.4877
#3
-4.4381
#4
-1.8644
#5
-1.8981
#6
-2.1073
Avg session: 1.6 trades. Dominant pattern: Loss from the Start (71%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
5.8h
BASELINE GAP
5.0h
5 trades opened within 10 min of a loss. Loss rate on these: 80%
EQUITY CURVE
DISCIPLINED: +190.4 SOL
Peak: +1.036 SOL at token #1
Max drawdown: 225.4 SOL
- - - = you without 39 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 338.8 SOL (126% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 117.5x larger than first buy
→ Would save ~156.0 SOL
2
DON'T TRADE 5PM–8PM
Late-night avg: -3.5639 SOL vs -2.0806 daytime
→ Would save ~67.7 SOL
3
STOP BUYING ON OKX_DEX_ROUTER
46 tokens from OKX_DEX_ROUTER: 15% WR, -103.538 SOL net
→ Would save ~62.1 SOL
4
AVOID TRADING ON SATS
SAT avg: -3.3537 SOL across 19 trades
→ Would save ~44.6 SOL
5
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 80% vs 90% baseline
→ Would save ~8.400 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.
8Q4U...pump
Never sold. Still holding. Still hoping.
The Bag Holder
19.9 SOL
-100.0%
7.0/10
Full autopsy →
3MyQ...pump
Never sold. Still holding. Still hoping.
The Bag Holder
16.0 SOL
-100.0%
7.0/10
Full autopsy →
C7Qy...pump
Never sold. Still holding. Still hoping.
The Bag Holder
15.1 SOL
-100.0%
7.0/10
Full autopsy →
GVkQ...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
13.9 SOL
-100.0%
7.0/10
Full autopsy →
4ex9...pump
Never sold. Still holding. Still hoping.
The Bag Holder
13.6 SOL
-100.0%
7.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.