REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / HzjDm1fiMha9UguXGWKKSdRdu6H9s5k6fWBQtKPhH5ni
F
Behavioral Grade
F
14 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
HzjDm1fiMha9UguXGWKKSdRdu6H9s5k6fWBQtKPhH5ni
At your current pace, your capital halves every 0.9 days.
Your brain cost you
140.3 SOL
$10.9k behavioral damage
Survival prob.
0%
778 wins to break even
Capital half-life
0.9d
Bleed rate
0.098 SOL/hr
Win rate
5.9%
Net P&L
184.1 SOL
Win rate
5.9%
Profit factor
0.01
Tokens
187
SOL in
238.1
SOL out
54.0
Primary
Diagnosis
75% 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.
75%
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.
+140.3 SOL
Catchable Losses
80 / 165
Behavioral Drag
75%
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
165 losses
Fast re-entry
20x
Bigger size
15 tokens
Late entry
Held collapse
1.6x hold
Stages Fired
4 / 5
Fast Re-entries
20x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-114.8 SOL($8.9k)
15 tokens where later buys were 4x larger
Later buys on losing positions
😴
Session Fatigue
-34.0 SOL($2.6k)
After trade #9, avg P&L drops to -1.0292 SOL
Trade #1 avg: -0.5344 SOL
💎
Diamond Hand Delusion
-20.5 SOL($1.6k)
Held losers 1.6x longer than winners
Winners: 2.4d · Losers: 4.0d
Late Night Trading
-20.3 SOL($1.6k)
24 trades between 11PM–5AM
Best hours: 1AM
😤
Revenge Trading
-5.072 SOL($395.28)
20 trades within 10 min of a loss
Win rate on these: 10%
TOTAL BEHAVIORAL DRAG
-194.6 SOL($15.2k)
CIRCADIAN PROFILE
WORST: 3AM
12a3
1a6
2a4
3a4
4a6
6a4
7a6
8a4
9a3
10a6
11a8
12p15
1p21
2p34
3p29
4p13
5p10
6p5
7p4
8p1
11p1
Night (11PM–5AM): -0.8458 SOL/trade · Day (8AM–8PM): -0.9889 SOL/trade
DISPOSITION EFFECT
1.6x
WINNER HOLD
2.4d
LOSER HOLD
4.0d
You hold losers 1.6x longer than winners.
SESSION FATIGUE
66 SESSIONS
#1
-0.5344
#2
-1.5455
#3
-0.9681
#4
-1.6375
#5
-0.4979
#6
-0.5877
#7
-0.7873
#8
-0.8126
Avg session: 2.8 trades. Dominant pattern: Loss from the Start (66%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
3.1h
BASELINE GAP
2.2h
20 trades opened within 10 min of a loss. Loss rate on these: 90%
EQUITY CURVE
DISCIPLINED: +140.3 SOL
Peak: +1.000 SOL at token #1
Max drawdown: 185.1 SOL
- - - = you without 80 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 282.4 SOL (151% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 4x larger than first buy
→ Would save ~136.0 SOL
2
STOP BUYING ON PUMP_AMM
97 tokens from PUMP_AMM: 6% WR, -151.572 SOL net
→ Would save ~90.9 SOL
3
AVOID TRADING ON TUES
TUE avg: -1.3624 SOL across 26 trades
→ Would save ~24.8 SOL
4
DON'T TRADE 3AM–6AM
Late-night avg: -0.8458 SOL vs -0.9889 daytime
→ Would save ~20.3 SOL
5
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: -0.5344 SOL → Trade #9 avg: -1.0292 SOL
→ Would save ~10.4 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.
GQnX...pump
Never sold. Still holding. Still hoping.
The Bag Holder
7.641 SOL
-100.0%
9.0/10
Full autopsy →
E2cg...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
6.080 SOL
-81.2%
6.0/10
Full autopsy →
8krs...pump
Never sold. Still holding. Still hoping.
The Bag Holder
6.042 SOL
-100.0%
9.0/10
Full autopsy →
44VW...pump
Never sold. Still holding. Still hoping.
The Bag Holder
5.971 SOL
-100.0%
9.0/10
Full autopsy →
2967...pump
Never sold. Still holding. Still hoping.
The Bag Holder
5.757 SOL
-100.0%
9.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.