REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 56CdhaXpKRyYygqMXutJJ7pnFM9RBuYCCmWhiXVayXVf
F
Behavioral Grade
F
19 / 100
Wallet Death Certificate
At your current pace, your capital halves every 0.4 days.
56CdhaXpKRyYygqMXutJJ7pnFM9RBuYCCmWhiXVayXVf
96% of your losses are behavioral — not bad picks, bad habits. That's 187.255 SOL.
Your brain cost you
187.3 SOL
$14.0k behavioral damage
Survival prob.
0%
683 wins to break even
Capital half-life
0.4d
Bleed rate
0.605 SOL/hr
Win rate
79.1%
Net P&L
180.0 SOL
Win rate
79.1%
Profit factor
0.07
Tokens
67
SOL in
198.6
SOL out
18.6
Primary
Diagnosis
97% 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.
97%
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.
+187.3 SOL
Catchable Losses
6 / 13
Behavioral Drag
97%
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
13 losses
Fast re-entry
3x
Bigger size
Late entry
Held collapse
2.5x hold
Stages Fired
3 / 5
Fast Re-entries
3x
BEHAVIORAL DAMAGE REPORT
💎
Diamond Hand Delusion
-9.644 SOL($721.64)
Held losers 2.5x longer than winners
Winners: 8.0d · Losers: 20.0d
Late Night Trading
-8.315 SOL($622.16)
13 trades between 11PM–5AM
Best hours: 8AM
😴
Session Fatigue
-2.236 SOL($167.27)
After trade #18, avg P&L drops to -0.4471 SOL
Trade #1 avg: +0.2305 SOL
😤
Revenge Trading
-0.295 SOL($22.06)
3 trades within 10 min of a loss
Win rate on these: 67%
🌀
Tilt Cascade
Each loss makes your next trade 4.4x worse
LOSS RATE: 31% vs 21% · FATIGUE: Trade #1: +0.2305 → #18: -0.4471
TOTAL BEHAVIORAL DRAG
-20.5 SOL($1.5k)
CIRCADIAN PROFILE
WORST: 9PM
12a1
2a2
3a8
4a2
5a2
6a10
7a3
8a2
10a1
11a5
12p7
2p6
3p4
4p9
6p1
7p1
9p1
10p2
Night (11PM–5AM): -0.6396 SOL/trade · Day (8AM–8PM): +0.0715 SOL/trade
DISPOSITION EFFECT
2.5x
WINNER HOLD
8.0d
LOSER HOLD
20.0d
You hold losers 2.5x longer than winners.
SESSION FATIGUE
10 SESSIONS
#1
+0.2305
#2
+0.7509
#3
-29.5541
#4
+0.092
#5
+0.2101
#6
+0.2263
#7
+0.1813
#8
+0.1335
Avg session: 6.7 trades. Dominant pattern: Win → Collapse (50%)
POST-LOSS VELOCITY
NORMAL
POST-LOSS GAP
13.3h
BASELINE GAP
<1m
3 trades opened within 10 min of a loss. Loss rate on these: 33%
EQUITY CURVE
DISCIPLINED: +187.3 SOL
Peak: +2.006 SOL at token #1
Max drawdown: 187.0 SOL
- - - = you without 6 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 376.9 SOL (194% of total losses)
1
AVOID TRADING ON TUES
TUE avg: -9.4606 SOL across 19 trades
→ Would save ~125.8 SOL
2
STOP BUYING ON PUMP_AMM
3 tokens from PUMP_AMM: 0% WR, -186.873 SOL net
→ Would save ~112.1 SOL
3
CAP POSITIONS AT 1.482 SOL
2 oversized trades = 96% of total losses
→ Would save ~111.5 SOL
4
STOP AFTER 3 CONSECUTIVE LOSSES
P(loss after loss) = 31% vs 21% baseline
→ Would save ~19.1 SOL
5
DON'T TRADE 9PM–12AM
Late-night avg: -0.6396 SOL vs +0.0715 daytime
→ Would save ~8.315 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.
Hkpi...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
177.3 SOL
-100.0%
7.0/10
Full autopsy →
5bWo...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
8.576 SOL
-98.0%
6.0/10
Full autopsy →
3MvB...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
2.006 SOL
-100.0%
5.0/10
Full autopsy →
DNwC...pump
Never sold. Still holding. Still hoping.
The Bag Holder
2.004 SOL
-100.0%
7.0/10
Full autopsy →
E81Z...pump
Watched it die slowly and did nothing.
The Slow Bleeder
0.981 SOL
-85.4%
4.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.