REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 8gcXp6cZq7jXBPDhjR77zjebD4rgMMZ2q5Mg8YDwCeYG
F
Behavioral Grade
F
25 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
8gcXp6cZq7jXBPDhjR77zjebD4rgMMZ2q5Mg8YDwCeYG
At your current pace, your capital halves every 0.9 days.
Your brain cost you
1.5k SOL
≈ $114.1k behavioral damage
Survival prob.
0%
167 wins to break even
Capital half-life
0.9d
Bleed rate
4.214 SOL/hr
Win rate
22.3%
Net P&L
−1.3k SOL
Win rate
22.3%
Profit factor
0.39
Tokens
470
SOL in
3.3k
SOL out
2.1k
Primary
Diagnosis
72% 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.
72%
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.
+1.5k SOL
Catchable Losses
168 / 365
Behavioral Drag
72%
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
365 losses
→
Fast re-entry
64x
→
Bigger size
44 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
64x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-1.1k SOL($86.9k)
44 tokens where later buys were 137x larger
Later buys on losing positions
😴
Session Fatigue
-311.1 SOL($24.1k)
After trade #21, avg P&L drops to -7.4955 SOL
Trade #1 avg: -1.025 SOL
😤
Revenge Trading
-172.2 SOL($13.3k)
64 trades within 10 min of a loss
Win rate on these: 25%
⏰
Late Night Trading
-42.5 SOL($3.3k)
73 trades between 11PM–5AM
Best hours: 12AM
TOTAL BEHAVIORAL DRAG
-1.6k SOL($127.6k)
CIRCADIAN PROFILE
WORST: 11AM▾
12a9
1a19
2a15
3a6
4a7
5a9
6a9
7a12
8a10
9a14
10a20
11a18
12p15
1p19
2p27
3p31
4p26
5p36
6p30
7p31
8p27
9p34
10p29
11p17
Night (11PM–5AM): -0.5819 SOL/trade · Day (8AM–8PM): -4.1265 SOL/trade
DISPOSITION EFFECT
0.4x▾
WINNER HOLD
1.4d
LOSER HOLD
11.7h
You hold losers 0.4x longer than winners.
SESSION FATIGUE
83 SESSIONS▾
#1
-1.025
#2
-4.1862
#3
-6.1967
#4
-3.8218
#5
-1.1107
#6
-3.1474
#7
-2.7215
#8
-1.4093
Avg session: 5.7 trades. Dominant pattern: Loss from the Start (55%)
POST-LOSS VELOCITY
1.1x FASTER▾
POST-LOSS GAP
14m
BASELINE GAP
16m
64 trades opened within 10 min of a loss. Loss rate on these: 75%
EQUITY CURVE
DISCIPLINED: +1.5k SOL▾
Peak: +1.712 SOL at token #6
Max drawdown: 1.3k SOL
- - - = you without 168 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 2.4k SOL (118% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 137x larger than first buy
→ Would save ~957.7 SOL
2
CAP POSITIONS AT 3.534 SOL
37 oversized trades = 51% of total losses
→ Would save ~624.4 SOL
3
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: -1.025 SOL → Trade #21 avg: -7.4955 SOL
→ Would save ~304.1 SOL
4
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 7.420 SOL vs 5.867 after win (1.26x)
→ Would save ~283.5 SOL
5
STOP BUYING ON RAYDIUM
100 tokens from RAYDIUM: 29% WR, -410.666 SOL net
→ Would save ~246.4 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.
EStr...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−151.9 SOL
-99.2%
6.0/10
Full autopsy →
2zVE...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−86.7 SOL
-79.3%
3.5/10
Full autopsy →
Arjo...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−75.4 SOL
-68.1%
4.5/10
Full autopsy →
DXwc...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−61.4 SOL
-100.0%
7.0/10
Full autopsy →
5thH...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−46.5 SOL
-100.0%
9.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.