REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 8nsm3uKh8sbvTzRiZFcWixrPGXrCbdV2qppKoFq58eHb
F
Behavioral Grade
F
11 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
8nsm3uKh8sbvTzRiZFcWixrPGXrCbdV2qppKoFq58eHb
At your current pace, your capital halves every 0 days.
Your brain cost you
523.6 SOL
≈ $40.6k behavioral damage
Survival prob.
0%
88 wins to break even
Capital half-life
0d
Bleed rate
20.3 SOL/hr
Win rate
4.5%
Net P&L
−550.1 SOL
Win rate
4.5%
Profit factor
0.15
Tokens
330
SOL in
694.6
SOL out
144.5
Primary
Diagnosis
81% of attributed damage came from recurring behavior, not market noise — tilt, sizing, timing.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
81%
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.
+523.6 SOL
Catchable Losses
244 / 315
Behavioral Drag
81%
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
315 losses
→
Fast re-entry
236x
→
Bigger size
6 tokens
→
Late entry
→
Held collapse
2.2x hold
Stages Fired
4 / 5
Fast Re-entries
236x
BEHAVIORAL DAMAGE REPORT
😤
Revenge Trading
-439.4 SOL($34.1k)
236 trades within 10 min of a loss
Win rate on these: 5%
📈
Averaging Down
-73.4 SOL($5.7k)
6 tokens where later buys were 3x larger
Later buys on losing positions
⏰
Late Night Trading
-39.9 SOL($3.1k)
16 trades between 11PM–5AM
Best hours: 5AM
😴
Session Fatigue
-30.9 SOL($2.4k)
After trade #46, avg P&L drops to -3.6313 SOL
Trade #1 avg: -2.1049 SOL
💎
Diamond Hand Delusion
-10.7 SOL($831.80)
Held losers 2.2x longer than winners
Winners: 3m · Losers: 6m
TOTAL BEHAVIORAL DRAG
-594.3 SOL($46.1k)
CIRCADIAN PROFILE
WORST: 3PM▾
4a16
5a12
6a15
7a25
8a22
9a38
10a40
11a42
12p28
1p24
2p26
3p4
4p12
5p14
6p10
7p2
Night (11PM–5AM): -2.4917 SOL/trade · Day (8AM–8PM): -1.5955 SOL/trade
DISPOSITION EFFECT
2.2x▾
WINNER HOLD
3m
LOSER HOLD
6m
You hold losers 2.2x longer than winners.
SESSION FATIGUE
17 SESSIONS▾
#1
-2.1049
#2
-2.9809
#3
-1.194
#4
-1.9951
#5
-1.3746
#6
-2.1846
#7
-1.0964
#8
-0.8991
Avg session: 19.4 trades. Dominant pattern: Loss from the Start (88%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
3m
BASELINE GAP
3m
236 trades opened within 10 min of a loss. Loss rate on these: 95%
EQUITY CURVE
DISCIPLINED: +523.6 SOL▾
Peak: +1.546 SOL at token #1
Max drawdown: 548.6 SOL
- - - = you without 244 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 1.1k SOL (165% of total losses)
1
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 95% vs 96% baseline
→ Would save ~439.4 SOL
2
STOP BUYING ON PUMP_FUN
319 tokens from PUMP_FUN: 3% WR, -556.919 SOL net
→ Would save ~334.2 SOL
3
NEVER ADD TO A LOSING POSITION
Later buys on losers are 3x larger than first buy
→ Would save ~132.6 SOL
4
AVOID TRADING ON TUES
TUE avg: -2.3697 SOL across 69 trades
→ Would save ~114.5 SOL
5
DON'T TRADE 3PM–6PM
Late-night avg: -2.4917 SOL vs -1.5955 daytime
→ Would save ~39.9 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.
7JCX...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−11.3 SOL
-100.0%
8.0/10
Full autopsy →
Cujp...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−9.354 SOL
-100.0%
8.0/10
Full autopsy →
5eXW...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−8.550 SOL
-100.0%
8.0/10
Full autopsy →
Cp43...izqF
Token went to zero. Wallet went to therapy.
The Rug Victim
−7.816 SOL
-100.0%
7.0/10
Full autopsy →
13ew...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−6.768 SOL
-100.0%
8.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.