REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / ELE3YxpZith71w31bpHouVxmFgXs53zpL6gBaAhK3DF8
F
Behavioral Grade
F
14 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
ELE3YxpZith71w31bpHouVxmFgXs53zpL6gBaAhK3DF8
At your current pace, your capital halves every 1.1 days.
Your brain cost you
220.8 SOL
$17.2k behavioral damage
Survival prob.
0%
148 wins to break even
Capital half-life
1.1d
Bleed rate
0.546 SOL/hr
Win rate
9.9%
Net P&L
237.6 SOL
Win rate
9.9%
Profit factor
0.05
Tokens
81
SOL in
412.7
SOL out
175.1
Primary
Diagnosis
88% of attributed damage came from recurring behavior, not market noise — timing, tilt, sizing.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
88%
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.
+220.8 SOL
Catchable Losses
58 / 72
Behavioral Drag
88%
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
72 losses
Fast re-entry
33x
Bigger size
6 tokens
Late entry
Held collapse
1.7x hold
Stages Fired
4 / 5
Fast Re-entries
33x
BEHAVIORAL DAMAGE REPORT
Late Night Trading
-119.9 SOL($9.3k)
35 trades between 11PM–5AM
Best hours: 5PM
💎
Diamond Hand Delusion
-98.4 SOL($7.7k)
Held losers 1.7x longer than winners
Winners: 11.5h · Losers: 19.9h
😤
Revenge Trading
-62.3 SOL($4.8k)
33 trades within 10 min of a loss
Win rate on these: 6%
📈
Averaging Down
-60.1 SOL($4.7k)
6 tokens where later buys were 2.1x larger
Later buys on losing positions
😴
Session Fatigue
-11.4 SOL($887.80)
After trade #18, avg P&L drops to -1.9024 SOL
Trade #1 avg: -1.2495 SOL
TOTAL BEHAVIORAL DRAG
-352.0 SOL($27.4k)
CIRCADIAN PROFILE
WORST: 6AM
1a9
2a8
3a10
4a8
5a6
6a3
7a1
8a2
9a2
11a8
12p1
2p1
4p2
5p1
6p3
8p4
9p5
10p7
Night (11PM–5AM): -3.4246 SOL/trade · Day (8AM–8PM): -2.4646 SOL/trade
DISPOSITION EFFECT
1.7x
WINNER HOLD
11.5h
LOSER HOLD
19.9h
You hold losers 1.7x longer than winners.
SESSION FATIGUE
12 SESSIONS
#1
-1.2495
#2
-5.338
#3
-4.9059
#4
-0.1986
#5
-4.1234
#6
-2.7279
#7
-2.9475
#8
-1.2311
Avg session: 6.8 trades. Dominant pattern: Loss from the Start (83%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
<1m
BASELINE GAP
<1m
33 trades opened within 10 min of a loss. Loss rate on these: 94%
EQUITY CURVE
DISCIPLINED: +220.8 SOL
Peak: +5.150 SOL at token #2
Max drawdown: 242.7 SOL
- - - = you without 58 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 463.9 SOL (185% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 2.1x larger than first buy
→ Would save ~134.5 SOL
2
DON'T TRADE 6AM–9AM
Late-night avg: -3.4246 SOL vs -2.4646 daytime
→ Would save ~119.9 SOL
3
STOP BUYING ON PUMP_FUN
53 tokens from PUMP_FUN: 6% WR, -137.859 SOL net
→ Would save ~82.7 SOL
4
AVOID TRADING ON THUS
THU avg: -5.7727 SOL across 16 trades
→ Would save ~64.7 SOL
5
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 94% vs 90% baseline
→ Would save ~62.3 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.
24hT...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
21.7 SOL
-71.6%
4.5/10
Full autopsy →
8i6C...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
19.8 SOL
-46.4%
4.5/10
Full autopsy →
GRxy...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
19.7 SOL
-70.6%
4.5/10
Full autopsy →
2vXc...pump
Watched it die slowly and did nothing.
The Slow Bleeder
13.6 SOL
-60.6%
2.5/10
Full autopsy →
Bv8F...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
10.6 SOL
-100.0%
7.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.