REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / A9hD56DUPj7VvTaD1veRwqNEy3NjyXcLDpNtenu5pZAx
F
Behavioral Grade
F
7 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
A9hD56DUPj7VvTaD1veRwqNEy3NjyXcLDpNtenu5pZAx
At your current pace, your capital halves every 3.6 days.
Your brain cost you
50.1 SOL
≈ $3.7k behavioral damage
Survival prob.
0%
49 wins to break even
Capital half-life
3.6d
Bleed rate
0.328 SOL/hr
Win rate
15%
Net P&L
−54.4 SOL
Win rate
15%
Profit factor
0.11
Tokens
40
SOL in
103.8
SOL out
49.4
Primary
Diagnosis
82% 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.
82%
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.
+50.1 SOL
Catchable Losses
16 / 34
Behavioral Drag
82%
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
34 losses
→
Fast re-entry
7x
→
Bigger size
3 tokens
→
Late entry
→
Held collapse
11.5x hold
Stages Fired
4 / 5
Fast Re-entries
7x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-40.4 SOL($3.0k)
3 tokens where later buys were 14.3x larger
Later buys on losing positions
😴
Session Fatigue
-10.1 SOL($740.68)
After trade #5, avg P&L drops to -1.1234 SOL
Trade #1 avg: -0.3977 SOL
😤
Revenge Trading
-7.788 SOL($570.54)
7 trades within 10 min of a loss
Win rate on these: 14%
⏰
Late Night Trading
-2.925 SOL($214.26)
4 trades between 11PM–5AM
Best hours: 6AM
💎
Diamond Hand Delusion
-1.923 SOL($140.84)
Held losers 11.5x longer than winners
Winners: 10.5h · Losers: 5.1d
TOTAL BEHAVIORAL DRAG
-63.1 SOL($4.6k)
CIRCADIAN PROFILE
WORST: 4PM▾
3a2
6a2
12p1
1p2
4p3
5p1
6p5
7p2
8p5
9p8
10p7
11p2
Night (11PM–5AM): -0.7312 SOL/trade · Day (8AM–8PM): -2.6243 SOL/trade
DISPOSITION EFFECT
11.5x▾
WINNER HOLD
10.5h
LOSER HOLD
5.1d
You hold losers 11.5x longer than winners. This is extreme. Cut losers faster.
SESSION FATIGUE
18 SESSIONS▾
#1
-0.3977
#2
-2.6769
#3
-1.4797
#4
-0.2937
#5
-1.1234
Avg session: 2.2 trades. Dominant pattern: Loss from the Start (100%)
POST-LOSS VELOCITY
1.1x FASTER▾
POST-LOSS GAP
6.2h
BASELINE GAP
6.8h
7 trades opened within 10 min of a loss. Loss rate on these: 86%
EQUITY CURVE
DISCIPLINED: +50.1 SOL▾
Peak: +1.032 SOL at token #1
Max drawdown: 55.0 SOL
- - - = you without 16 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 88.6 SOL (145% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 14.3x larger than first buy
→ Would save ~31.8 SOL
2
CAP POSITIONS AT 1.298 SOL
4 oversized trades = 60% of total losses
→ Would save ~22.1 SOL
3
STOP BUYING ON PUMP_AMM
24 tokens from PUMP_AMM: 25% WR, -33.648 SOL net
→ Would save ~20.2 SOL
4
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 86% vs 85% baseline
→ Would save ~7.788 SOL
5
AVOID TRADING ON FRIS
FRI avg: -3.2122 SOL across 3 trades
→ Would save ~6.746 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.
94KE...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−13.4 SOL
-100.0%
9.0/10
Full autopsy →
6DYj...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−10.9 SOL
-100.0%
9.0/10
Full autopsy →
CipC...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−8.744 SOL
-66.6%
3.5/10
Full autopsy →
CzDd...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−3.813 SOL
-100.0%
8.0/10
Full autopsy →
7ZWe...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−3.456 SOL
-57.5%
4.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.