REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / BQYB2ZT6jTeiWv7yGH2uDLLr45Zf2wMzU9rB3ga65ikt
F
Behavioral Grade
F
20 / 100
Wallet Death Certificate
At your current pace, your capital halves every 0 days.
BQYB2ZT6jTeiWv7yGH2uDLLr45Zf2wMzU9rB3ga65ikt
97% of your losses are behavioral — not bad picks, bad habits. That's 335.902 SOL.
Your brain cost you
335.9 SOL
≈ $24.6k behavioral damage
Survival prob.
0%
2176 wins to break even
Capital half-life
0d
Bleed rate
6.439 SOL/hr
Win rate
1.2%
Net P&L
−340.4 SOL
Win rate
1.2%
Profit factor
0.01
Tokens
1068
SOL in
375.8
SOL out
35.4
Primary
Diagnosis
98% 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.
98%
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.
+335.9 SOL
Catchable Losses
1007 / 1055
Behavioral Drag
98%
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
1055 losses
→
Fast re-entry
982x
→
Bigger size
15 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
982x
BEHAVIORAL DAMAGE REPORT
😤
Revenge Trading
-320.1 SOL($23.4k)
982 trades within 10 min of a loss
Win rate on these: 0%
⏰
Late Night Trading
-61.3 SOL($4.5k)
214 trades between 11PM–5AM
Best hours: 4PM
📈
Averaging Down
-14.5 SOL($1.1k)
15 tokens where later buys were 2.4x larger
Later buys on losing positions
😴
Session Fatigue
-7.103 SOL($520.35)
After trade #143, avg P&L drops to -0.6457 SOL
Trade #1 avg: -0.0876 SOL
TOTAL BEHAVIORAL DRAG
-403.0 SOL($29.5k)
CIRCADIAN PROFILE
WORST: 9AM▾
12a22
1a16
2a66
3a64
4a2
5a41
6a61
7a59
8a60
9a56
10a45
11a14
12p52
1p60
2p72
3p65
4p5
5p32
6p31
7p39
8p24
9p63
10p75
11p44
Night (11PM–5AM): -0.2865 SOL/trade · Day (8AM–8PM): -0.325 SOL/trade
DISPOSITION EFFECT
0x▾
WINNER HOLD
1.6d
LOSER HOLD
18m
You hold losers 0x longer than winners.
SESSION FATIGUE
22 SESSIONS▾
#1
-0.0876
#2
-0.059
#3
-0.0933
#4
-0.0683
#5
-0.0771
#6
-0.0807
#7
-0.0867
#8
-0.1129
Avg session: 48.5 trades. Dominant pattern: Loss from the Start (86%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
<1m
BASELINE GAP
<1m
982 trades opened within 10 min of a loss. Loss rate on these: 100%
EQUITY CURVE
DISCIPLINED: +335.9 SOL▾
Peak: +0.248 SOL at token #1
Max drawdown: 340.6 SOL
- - - = you without 1007 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 768.0 SOL (224% of total losses)
1
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 100% vs 99% baseline
→ Would save ~320.1 SOL
2
STOP BUYING ON PUMP_FUN
1023 tokens from PUMP_FUN: 0% WR, -335.192 SOL net
→ Would save ~201.1 SOL
3
AVOID TRADING ON FRIS
FRI avg: -0.4626 SOL across 479 trades
→ Would save ~155.1 SOL
4
DON'T TRADE 9AM–12PM
Late-night avg: -0.2865 SOL vs -0.325 daytime
→ Would save ~61.3 SOL
5
NEVER ADD TO A LOSING POSITION
Later buys on losers are 2.4x larger than first buy
→ Would save ~30.4 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.
DrTj...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−3.508 SOL
-68.7%
4.5/10
Full autopsy →
H3pN...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−3.006 SOL
-100.0%
6.0/10
Full autopsy →
4Df9...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−2.708 SOL
-100.0%
8.0/10
Full autopsy →
H2PR...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−2.406 SOL
-21.2%
4.5/10
Full autopsy →
4d2o...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−2.004 SOL
-100.0%
6.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.