REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 693kb2R4HGrp8CpoNKzpKiYamrjtp7tf6ifhjXZoMKHE
F
Behavioral Grade
F
15 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
693kb2R4HGrp8CpoNKzpKiYamrjtp7tf6ifhjXZoMKHE
At your current pace, your capital halves every 1.3 days.
Your brain cost you
31.3 SOL
$2.3k behavioral damage
Survival prob.
0%
117 wins to break even
Capital half-life
1.3d
Bleed rate
0.045 SOL/hr
Win rate
7.8%
Net P&L
33.2 SOL
Win rate
7.8%
Profit factor
0.03
Tokens
51
SOL in
62.1
SOL out
28.9
Primary
Diagnosis
91% 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.
91%
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.
+31.3 SOL
Catchable Losses
29 / 47
Behavioral Drag
91%
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
3x
Bigger size
9 tokens
Late entry
Held collapse
Stages Fired
3 / 5
Fast Re-entries
3x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-23.6 SOL($1.7k)
9 tokens where later buys were 3.1x larger
Later buys on losing positions
😴
Session Fatigue
-14.6 SOL($1.1k)
After trade #6, avg P&L drops to -1.831 SOL
Trade #1 avg: -0.2167 SOL
Late Night Trading
-4.362 SOL($319.59)
21 trades between 11PM–5AM
Best hours: 10PM
😤
Revenge Trading
-3.125 SOL($228.95)
3 trades within 10 min of a loss
Win rate on these: 0%
🌀
Tilt Cascade
Each loss makes your next trade 8.4x worse
SPEED: 1.6x faster · SIZE: 5.23x bigger
TOTAL BEHAVIORAL DRAG
-45.7 SOL($3.4k)
CIRCADIAN PROFILE
WORST: 7AM
12a6
1a5
2a1
3a1
4a5
5a6
6a2
7a1
9a1
10a2
12p1
4p1
5p2
6p2
7p4
8p4
9p2
10p2
11p3
Night (11PM–5AM): -0.2077 SOL/trade · Day (8AM–8PM): -0.8044 SOL/trade
DISPOSITION EFFECT
0.4x
WINNER HOLD
17.7d
LOSER HOLD
7.1d
You hold losers 0.4x longer than winners.
SESSION FATIGUE
16 SESSIONS
#1
-0.2167
#2
-0.4353
#3
-0.5015
#4
-0.0196
#5
-2.5025
#6
-1.831
Avg session: 3.2 trades. Dominant pattern: Loss from the Start (80%)
POST-LOSS VELOCITY
1.6x FASTER
POST-LOSS GAP
4.8h
BASELINE GAP
7.9h
3 trades opened within 10 min of a loss. Loss rate on these: 100%
EQUITY CURVE
DISCIPLINED: +31.3 SOL
Peak: +0.105 SOL at token #1
Max drawdown: 33.1 SOL
- - - = you without 29 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 88.1 SOL (257% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 3.1x larger than first buy
→ Would save ~30.6 SOL
2
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 1.325 SOL vs 0.2532 after win (5.23x)
→ Would save ~24.6 SOL
3
CAP POSITIONS AT 0.609 SOL
5 oversized trades = 68% of total losses
→ Would save ~14.0 SOL
4
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: -0.2167 SOL → Trade #6 avg: -1.831 SOL
→ Would save ~9.686 SOL
5
STOP BUYING ON PUMP_AMM
17 tokens from PUMP_AMM: 12% WR, -15.248 SOL net
→ Would save ~9.149 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.
pitd...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
6.785 SOL
-98.2%
7.0/10
Full autopsy →
ChNr...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
5.123 SOL
-45.6%
3.5/10
Full autopsy →
Byb8...BAGS
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
4.920 SOL
-70.0%
3.5/10
Full autopsy →
D7Jz...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
3.617 SOL
-72.0%
3.5/10
Full autopsy →
2RgY...pump
Watched it die slowly and did nothing.
The Slow Bleeder
2.920 SOL
-86.9%
4.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.