REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 3E6cecHg5wRGHBnCXo6ut31sgLSz5eC6AuvJeds1ARcQ
F
Behavioral Grade
F
7 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
3E6cecHg5wRGHBnCXo6ut31sgLSz5eC6AuvJeds1ARcQ
At your current pace, your capital halves every 3.4 days.
Your brain cost you
86.5 SOL
≈ $6.8k behavioral damage
Survival prob.
0.6859%
3 wins to break even
Capital half-life
3.4d
Bleed rate
0.188 SOL/hr
Win rate
19%
Net P&L
−23.5 SOL
Win rate
19%
Profit factor
0.77
Tokens
42
SOL in
353.5
SOL out
330.0
Primary
Diagnosis
85% of attributed damage came from recurring behavior, not market noise — sizing, tilt.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
85%
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.
+86.5 SOL
Catchable Losses
12 / 33
Behavioral Drag
85%
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
33 losses
→
Fast re-entry
8x
→
Bigger size
2 tokens
→
Late entry
→
Held collapse
12.5x hold
Stages Fired
4 / 5
Fast Re-entries
8x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-79.0 SOL($6.2k)
2 tokens where later buys were 1.8x larger
Later buys on losing positions
💎
Diamond Hand Delusion
-30.7 SOL($2.4k)
Held losers 12.5x longer than winners
Winners: 1.1d · Losers: 14.0d
😤
Revenge Trading
-7.430 SOL($584.36)
8 trades within 10 min of a loss
Win rate on these: 0%
🌀
Tilt Cascade
Each loss makes your next trade 801.5x worse
SPEED: 88x faster · SIZE: 7.59x bigger · LOSS RATE: 94% vs 81%
TOTAL BEHAVIORAL DRAG
-117.1 SOL($9.2k)
CIRCADIAN PROFILE
WORST: 2PM▾
1a2
2a1
4a1
6a2
7a6
8a4
9a3
10a2
11a3
12p2
1p3
2p4
3p4
5p2
9p1
11p2
Night (11PM–5AM): +5.605 SOL/trade · Day (8AM–8PM): -1.7282 SOL/trade
DISPOSITION EFFECT
12.5x▾
WINNER HOLD
1.1d
LOSER HOLD
14.0d
You hold losers 12.5x longer than winners. This is extreme. Cut losers faster.
SESSION FATIGUE
17 SESSIONS▾
#1
-0.9367
#2
-0.6136
#3
-3.9632
#4
-0.8689
#5
-15.5555
#6
-0.6905
Avg session: 2.5 trades. Dominant pattern: Loss from the Start (100%)
POST-LOSS VELOCITY
88x FASTER▾
POST-LOSS GAP
15m
BASELINE GAP
22.7h
8 trades opened within 10 min of a loss. Loss rate on these: 100%
EQUITY CURVE
DISCIPLINED: +86.5 SOL▾
Peak: +36.6 SOL at token #1
Max drawdown: 61.3 SOL
- - - = you without 12 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 470.5 SOL (460% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 1.8x larger than first buy
→ Would save ~196.7 SOL
2
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 10.590 SOL vs 1.395 after win (7.59x)
→ Would save ~147.1 SOL
3
STOP BUYING ON JUPITER
33 tokens from JUPITER: 9% WR, -99.175 SOL net
→ Would save ~59.5 SOL
4
CAP POSITIONS AT 4.208 SOL
4 oversized trades = 79% of total losses
→ Would save ~48.6 SOL
5
WAIT AT LEAST 22.7h BETWEEN TRADES
Fast trades lose 100% vs 50% for patient ones
→ Would save ~18.6 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.
EPjF...Dt1v
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−61.3 SOL
-32.5%
3.5/10
Full autopsy →
GnFM...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−12.8 SOL
-11.5%
4.5/10
Full autopsy →
E81Z...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−4.533 SOL
-100.0%
8.0/10
Full autopsy →
C8Tk...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−2.237 SOL
-100.0%
5.0/10
Full autopsy →
EH9j...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−2.103 SOL
-99.9%
6.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.