REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 37iqMxTB2chbwjYtsKFYVmqWnmV24RFxme6wZLLNzVHP
F
Behavioral Grade
F
17 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
37iqMxTB2chbwjYtsKFYVmqWnmV24RFxme6wZLLNzVHP
At your current pace, your capital halves every 2.3 days.
Your brain cost you
8.742 SOL
≈ $687.69 behavioral damage
Survival prob.
5.29%
2 wins to break even
Capital half-life
2.3d
Bleed rate
0.047 SOL/hr
Win rate
23%
Net P&L
−1.039 SOL
Win rate
23%
Profit factor
0.9
Tokens
61
SOL in
17.6
SOL out
16.6
Primary
Diagnosis
86% 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.
86%
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.
+8.742 SOL
Catchable Losses
17 / 47
Behavioral Drag
86%
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
47 losses
→
Fast re-entry
2x
→
Bigger size
6 tokens
→
Late entry
→
Held collapse
5.2x hold
Stages Fired
4 / 5
Fast Re-entries
2x
BEHAVIORAL DAMAGE REPORT
😴
Session Fatigue
-13.5 SOL($1.1k)
After trade #3, avg P&L drops to -0.626 SOL
Trade #1 avg: +0.1368 SOL
📈
Averaging Down
-7.078 SOL($556.77)
6 tokens where later buys were 142.1x larger
Later buys on losing positions
⏰
Late Night Trading
-1.038 SOL($81.65)
6 trades between 11PM–5AM
Best hours: 12PM
💎
Diamond Hand Delusion
-1.038 SOL($81.63)
Held losers 5.2x longer than winners
Winners: 17.2h · Losers: 3.7d
😤
Revenge Trading
-0.627 SOL($49.29)
2 trades within 10 min of a loss
Win rate on these: 0%
TOTAL BEHAVIORAL DRAG
-23.2 SOL($1.8k)
CIRCADIAN PROFILE
WORST: 10AM▾
12a1
2a1
3a2
4a1
5a2
6a4
7a4
8a8
9a3
10a1
11a2
12p2
1p6
2p3
3p1
4p2
5p4
6p4
7p1
8p2
9p3
10p3
11p1
Night (11PM–5AM): -0.173 SOL/trade · Day (8AM–8PM): +0.089 SOL/trade
DISPOSITION EFFECT
5.2x▾
WINNER HOLD
17.2h
LOSER HOLD
3.7d
You hold losers 5.2x longer than winners. This is extreme. Cut losers faster.
SESSION FATIGUE
43 SESSIONS▾
#1
+0.1368
#2
-0.1092
#3
-0.626
Avg session: 1.4 trades. Dominant pattern: Unpredictable (60%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
14.3h
BASELINE GAP
11.0h
2 trades opened within 10 min of a loss. Loss rate on these: 100%
EQUITY CURVE
DISCIPLINED: +8.742 SOL▾
Peak: +4.049 SOL at token #26
Max drawdown: 5.087 SOL
- - - = you without 17 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 11.3 SOL (111% of total losses)
1
CAP POSITIONS AT 0.145 SOL
5 oversized trades = 68% of total losses
→ Would save ~4.133 SOL
2
NEVER ADD TO A LOSING POSITION
Later buys on losers are 142.1x larger than first buy
→ Would save ~3.488 SOL
3
AVOID TRADING ON TUES
TUE avg: -0.4096 SOL across 7 trades
→ Would save ~2.007 SOL
4
DON'T TRADE 10AM–1PM
Late-night avg: -0.173 SOL vs +0.089 daytime
→ Would save ~1.038 SOL
5
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 100% vs 77% baseline
→ Would save ~0.627 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.
XSeE...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−2.499 SOL
-74.5%
3.5/10
Full autopsy →
5s7t...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−1.540 SOL
-100.0%
7.0/10
Full autopsy →
73ed...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−1.201 SOL
-100.0%
7.0/10
Full autopsy →
EPjF...Dt1v
Watched it die slowly and did nothing.
The Slow Bleeder
−0.906 SOL
-85.1%
4.0/10
Full autopsy →
2QYm...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−0.742 SOL
-100.0%
7.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.