REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 4W8LeGJXtVayg4WLwfoYimbHHCv5wGgVdnQ25nzCrr3c
F
Behavioral Grade
F
7 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
4W8LeGJXtVayg4WLwfoYimbHHCv5wGgVdnQ25nzCrr3c
At your current pace, your capital halves every 0.2 days.
Your brain cost you
310.7 SOL
$22.7k behavioral damage
Survival prob.
0%
189 wins to break even
Capital half-life
0.2d
Bleed rate
0.854 SOL/hr
Win rate
27.5%
Net P&L
261.8 SOL
Win rate
27.5%
Profit factor
0.38
Tokens
418
SOL in
766.2
SOL out
504.4
Primary
Diagnosis
74% 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.
74%
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.
+310.7 SOL
Catchable Losses
201 / 303
Behavioral Drag
74%
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
303 losses
Fast re-entry
128x
Bigger size
35 tokens
Late entry
Held collapse
4.5x hold
Stages Fired
4 / 5
Fast Re-entries
128x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-131.8 SOL($9.6k)
35 tokens where later buys were 1.8x larger
Later buys on losing positions
😤
Revenge Trading
-91.5 SOL($6.7k)
128 trades within 10 min of a loss
Win rate on these: 30%
💎
Diamond Hand Delusion
-87.3 SOL($6.4k)
Held losers 4.5x longer than winners
Winners: 29m · Losers: 2.2h
Late Night Trading
-66.8 SOL($4.9k)
122 trades between 11PM–5AM
Best hours: 7PM
TOTAL BEHAVIORAL DRAG
-377.5 SOL($27.5k)
CIRCADIAN PROFILE
WORST: 4PM
12a11
1a23
2a30
3a27
4a21
5a16
6a29
7a44
8a26
9a16
10a19
11a12
12p22
1p22
2p12
3p22
4p16
5p21
6p11
7p4
9p1
10p3
11p10
Night (11PM–5AM): -0.5473 SOL/trade · Day (8AM–8PM): -0.644 SOL/trade
DISPOSITION EFFECT
4.5x
WINNER HOLD
29m
LOSER HOLD
2.2h
You hold losers 4.5x longer than winners. This is extreme. Cut losers faster.
SESSION FATIGUE
81 SESSIONS
#1
+0.0073
#2
-1.0055
#3
-0.8999
#4
-0.3119
#5
-0.3941
#6
-1.4601
#7
-0.7378
#8
-0.283
Avg session: 5.2 trades. Dominant pattern: Loss from the Start (33%)
POST-LOSS VELOCITY
1.1x FASTER
POST-LOSS GAP
7m
BASELINE GAP
8m
128 trades opened within 10 min of a loss. Loss rate on these: 70%
EQUITY CURVE
DISCIPLINED: +310.7 SOL
Peak: +0.137 SOL at token #2
Max drawdown: 261.7 SOL
- - - = you without 201 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 601.5 SOL (143% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 1.8x larger than first buy
→ Would save ~293.6 SOL
2
STOP BUYING ON PUMP_FUN
259 tokens from PUMP_FUN: 14% WR, -195.099 SOL net
→ Would save ~117.1 SOL
3
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 70% vs 73% baseline
→ Would save ~91.5 SOL
4
DON'T TRADE 4PM–7PM
Late-night avg: -0.5473 SOL vs -0.644 daytime
→ Would save ~66.8 SOL
5
AVOID TRADING ON MONS
MON avg: -0.9886 SOL across 47 trades
→ Would save ~32.5 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.
AZWr...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
9.006 SOL
-81.3%
6.0/10
Full autopsy →
FLRG...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
7.468 SOL
-70.6%
4.5/10
Full autopsy →
62Jq...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
6.700 SOL
-87.2%
6.0/10
Full autopsy →
4KeZ...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
6.661 SOL
-81.4%
6.0/10
Full autopsy →
6mwL...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
6.608 SOL
-71.1%
4.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.