REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 7bsTkeWcSPG6nzsbXucxV89YUULoSExNJdX2WqfLHwZ4
C
Behavioral Grade
C
54 / 100
Wallet Autopsy Report
The math gives you a 99% chance of going to zero.
7bsTkeWcSPG6nzsbXucxV89YUULoSExNJdX2WqfLHwZ4
At your current pace, your capital halves every 0.1 days.
Your brain cost you
397.6 SOL
≈ $31.0k behavioral damage
Survival prob.
—
Capital half-life
0.1d
Bleed rate
5.656 SOL/hr
Win rate
27.5%
Net P&L
+256.2 SOL
Win rate
27.5%
Profit factor
1.36
Tokens
178
SOL in
1.7k
SOL out
1.9k
Primary
Diagnosis
56% 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.
56%
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.
+397.6 SOL
Catchable Losses
61 / 129
Behavioral Drag
56%
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
129 losses
→
Fast re-entry
32x
→
Bigger size
13 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
32x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-163.1 SOL($12.7k)
13 tokens where later buys were 3x larger
Later buys on losing positions
⏰
Late Night Trading
-98.0 SOL($7.6k)
41 trades between 11PM–5AM
Best hours: 6PM
😤
Revenge Trading
-91.2 SOL($7.1k)
32 trades within 10 min of a loss
Win rate on these: 22%
😴
Session Fatigue
-77.0 SOL($6.0k)
After trade #18, avg P&L drops to -4.8096 SOL
Trade #1 avg: +0.7585 SOL
🌀
Tilt Cascade
Each loss makes your next trade 5.5x worse
LOSS RATE: 81% vs 73% · FATIGUE: Trade #1: +0.7585 → #18: -4.8096
TOTAL BEHAVIORAL DRAG
-429.2 SOL($33.4k)
CIRCADIAN PROFILE
WORST: 1AM▾
12a24
1a1
12p7
1p10
2p5
3p6
4p7
5p12
6p7
7p9
8p27
9p26
10p21
11p16
Night (11PM–5AM): -2.3907 SOL/trade · Day (8AM–8PM): +5.366 SOL/trade
DISPOSITION EFFECT
0.5x▾
WINNER HOLD
5.7h
LOSER HOLD
2.8h
You hold losers 0.5x longer than winners.
SESSION FATIGUE
32 SESSIONS▾
#1
+0.7585
#2
+6.843
#3
+1.6688
#4
+0.94
#5
+11.6442
#6
+1.5715
#7
+6.2552
#8
-6.8533
Avg session: 5.6 trades. Dominant pattern: Loss from the Start (38%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
16m
BASELINE GAP
10m
32 trades opened within 10 min of a loss. Loss rate on these: 78%
EQUITY CURVE
DISCIPLINED: +397.6 SOL▾
Peak: +312.1 SOL at token #142
Max drawdown: 166.0 SOL
- - - = you without 61 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 761.1 SOL (108% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 3x larger than first buy
→ Would save ~413.5 SOL
2
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: +0.7585 SOL → Trade #18 avg: -4.8096 SOL
→ Would save ~100.2 SOL
3
DON'T TRADE 1AM–4AM
Late-night avg: -2.3907 SOL vs +5.366 daytime
→ Would save ~98.0 SOL
4
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 78% vs 73% baseline
→ Would save ~91.2 SOL
5
AVOID TRADING ON SATS
SAT avg: -4.157 SOL across 20 trades
→ Would save ~58.2 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.
2CqJ...Fcmm
Never sold. Still holding. Still hoping.
The Bag Holder
−41.9 SOL
-100.0%
9.0/10
Full autopsy →
D2So...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−27.1 SOL
-79.0%
4.5/10
Full autopsy →
ptok...sFSR
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−25.6 SOL
-68.8%
4.5/10
Full autopsy →
77sQ...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−17.5 SOL
-100.0%
7.0/10
Full autopsy →
6YAA...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−16.4 SOL
-62.7%
4.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.