REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 4nvNc7dDEqKKLM4Sr9Kgk3t1of6f8G66kT64VoC95LYh
F
Behavioral Grade
F
19 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
4nvNc7dDEqKKLM4Sr9Kgk3t1of6f8G66kT64VoC95LYh
At your current pace, your capital halves every 0 days.
Your brain cost you
714.2 SOL
$55.6k behavioral damage
Survival prob.
0%
21 wins to break even
Capital half-life
0d
Bleed rate
7.436 SOL/hr
Win rate
7.8%
Net P&L
427.3 SOL
Win rate
7.8%
Profit factor
0.65
Tokens
485
SOL in
2.4k
SOL out
2.0k
Primary
Diagnosis
58% of attributed damage came from recurring behavior, not market noise — tilt, sizing, timing.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
58%
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.
+714.2 SOL
Catchable Losses
216 / 446
Behavioral Drag
58%
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
446 losses
Fast re-entry
170x
Bigger size
8 tokens
Late entry
Held collapse
2x hold
Stages Fired
4 / 5
Fast Re-entries
170x
BEHAVIORAL DAMAGE REPORT
😤
Revenge Trading
-347.2 SOL($27.0k)
170 trades within 10 min of a loss
Win rate on these: 6%
📈
Averaging Down
-271.7 SOL($21.1k)
8 tokens where later buys were 1.5x larger
Later buys on losing positions
😴
Session Fatigue
-114.3 SOL($8.9k)
After trade #29, avg P&L drops to -2.7868 SOL
Trade #1 avg: -2.6006 SOL
Late Night Trading
-110.0 SOL($8.6k)
25 trades between 11PM–5AM
Best hours: 8PM
💎
Diamond Hand Delusion
-95.3 SOL($7.4k)
Held losers 2x longer than winners
Winners: 1.2h · Losers: 2.4h
TOTAL BEHAVIORAL DRAG
-938.4 SOL($73.0k)
CIRCADIAN PROFILE
WORST: 11PM
12a9
1a6
2a4
4a3
5a2
6a3
7a3
8a3
9a6
10a11
11a16
12p14
1p43
2p48
3p61
4p81
5p53
6p50
7p46
8p11
9p4
10p5
11p3
Night (11PM–5AM): -4.3989 SOL/trade · Day (8AM–8PM): -0.9194 SOL/trade
DISPOSITION EFFECT
2x
WINNER HOLD
1.2h
LOSER HOLD
2.4h
You hold losers 2x longer than winners.
SESSION FATIGUE
82 SESSIONS
#1
-2.6006
#2
+0.9326
#3
-2.7874
#4
-0.7571
#5
-2.3223
#6
-0.8248
#7
-1.8538
#8
-2.1079
Avg session: 5.9 trades. Dominant pattern: Loss from the Start (70%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
11m
BASELINE GAP
11m
170 trades opened within 10 min of a loss. Loss rate on these: 94%
EQUITY CURVE
DISCIPLINED: +714.2 SOL
Peak: +64.6 SOL at token #172
Max drawdown: 520.1 SOL
- - - = you without 216 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 1.1k SOL (93% of total losses)
1
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 94% vs 92% baseline
→ Would save ~347.2 SOL
2
STOP BUYING ON PUMP_FUN
387 tokens from PUMP_FUN: 4% WR, -554.116 SOL net
→ Would save ~332.5 SOL
3
NEVER ADD TO A LOSING POSITION
Later buys on losers are 1.5x larger than first buy
→ Would save ~295.8 SOL
4
DON'T TRADE 11PM–2AM
Late-night avg: -4.3989 SOL vs -0.9194 daytime
→ Would save ~110.0 SOL
5
AVOID TRADING ON SUNS
SUN avg: -3.3501 SOL across 26 trades
→ Would save ~61.0 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.
DNzw...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
36.0 SOL
-68.7%
4.5/10
Full autopsy →
2fXc...Agzt
Watched it die slowly and did nothing.
The Slow Bleeder
22.1 SOL
-54.8%
2.5/10
Full autopsy →
9DVS...pump
Panic sold within minutes. Fear won.
The Paper Hand
20.0 SOL
-68.6%
5.5/10
Full autopsy →
Byip...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
17.4 SOL
-13.3%
3.5/10
Full autopsy →
7CJa...pump
Watched it die slowly and did nothing.
The Slow Bleeder
16.8 SOL
-75.7%
2.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.