REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 3dZizBFBry5ecj4zsSBZin3U25BN4LFPJPAPDyg3YmFW
F
Behavioral Grade
F
25 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
3dZizBFBry5ecj4zsSBZin3U25BN4LFPJPAPDyg3YmFW
At your current pace, your capital halves every 0.1 days.
Your brain cost you
786.8 SOL
≈ $61.3k behavioral damage
Survival prob.
0%
100 wins to break even
Capital half-life
0.1d
Bleed rate
1.040 SOL/hr
Win rate
24.6%
Net P&L
−375.4 SOL
Win rate
24.6%
Profit factor
0.6
Tokens
615
SOL in
1.5k
SOL out
1.1k
Primary
Diagnosis
83% 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.
83%
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.
+786.8 SOL
Catchable Losses
294 / 460
Behavioral Drag
83%
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
460 losses
→
Fast re-entry
126x
→
Bigger size
66 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
126x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-337.8 SOL($26.3k)
66 tokens where later buys were 202.3x larger
Later buys on losing positions
😴
Session Fatigue
-221.6 SOL($17.3k)
After trade #15, avg P&L drops to -2.3331 SOL
Trade #1 avg: -0.6458 SOL
😤
Revenge Trading
-148.7 SOL($11.6k)
126 trades within 10 min of a loss
Win rate on these: 14%
⏰
Late Night Trading
-70.5 SOL($5.5k)
218 trades between 11PM–5AM
Best hours: 6PM
TOTAL BEHAVIORAL DRAG
-778.7 SOL($60.7k)
CIRCADIAN PROFILE
WORST: 4PM▾
12a46
1a32
2a31
3a38
4a26
5a25
6a23
7a20
8a29
9a23
10a11
11a21
12p8
1p16
2p24
3p6
4p2
5p6
6p18
7p28
8p48
9p54
10p35
11p45
Night (11PM–5AM): -0.3234 SOL/trade · Day (8AM–8PM): -0.688 SOL/trade
DISPOSITION EFFECT
0.8x▾
WINNER HOLD
14.2h
LOSER HOLD
10.8h
You hold losers 0.8x longer than winners.
SESSION FATIGUE
190 SESSIONS▾
#1
-0.6458
#2
-1.2765
#3
+0.2017
#4
-0.6007
#5
-1.1085
#6
+1.0389
#7
+0.1461
#8
-0.5311
Avg session: 3.2 trades. Dominant pattern: Loss from the Start (43%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
18m
BASELINE GAP
18m
126 trades opened within 10 min of a loss. Loss rate on these: 86%
EQUITY CURVE
DISCIPLINED: +786.8 SOL▾
Peak: +12.8 SOL at token #16
Max drawdown: 393.8 SOL
- - - = you without 294 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 1.2k SOL (128% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 202.3x larger than first buy
→ Would save ~406.8 SOL
2
CAP POSITIONS AT 1.211 SOL
46 oversized trades = 52% of total losses
→ Would save ~294.6 SOL
3
STOP BUYING ON JUPITER
262 tokens from JUPITER: 15% WR, -433.950 SOL net
→ Would save ~260.4 SOL
4
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 86% vs 75% baseline
→ Would save ~148.7 SOL
5
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 2.541 SOL vs 2.087 after win (1.22x)
→ Would save ~104.1 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.
5nrL...smqf
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−27.8 SOL
-59.0%
3.5/10
Full autopsy →
3hPj...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−26.6 SOL
-83.0%
5.0/10
Full autopsy →
5YX8...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−23.7 SOL
-100.0%
5.0/10
Full autopsy →
5G6P...1htB
Never sold. Still holding. Still hoping.
The Bag Holder
−19.5 SOL
-100.0%
8.0/10
Full autopsy →
3KHM...pump
Watched it die slowly and did nothing.
The Slow Bleeder
−18.7 SOL
-61.7%
2.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.