REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 97K6nsFhBWDKwQf6heDDhDtsCRC4779LPHSFZkc2zqK4
F
Behavioral Grade
F
25 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
97K6nsFhBWDKwQf6heDDhDtsCRC4779LPHSFZkc2zqK4
At your current pace, your capital halves every 0 days.
Your brain cost you
383.4 SOL
$25.6k behavioral damage
Survival prob.
12.7%
1 wins to break even
Capital half-life
0d
Bleed rate
27.1 SOL/hr
Win rate
12.7%
Net P&L
16.4 SOL
Win rate
12.7%
Profit factor
0.97
Tokens
142
SOL in
2.1k
SOL out
2.1k
Primary
Diagnosis
68% of attributed damage came from recurring behavior, not market noise — sizing, tilt.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
68%
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.
+383.4 SOL
Catchable Losses
47 / 87
Behavioral Drag
68%
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
87 losses
Fast re-entry
49x
Bigger size
4 tokens
Late entry
Held collapse
Stages Fired
3 / 5
Fast Re-entries
49x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-231.7 SOL($15.5k)
4 tokens where later buys were 1.3x larger
Later buys on losing positions
😤
Revenge Trading
-151.7 SOL($10.1k)
49 trades within 10 min of a loss
Win rate on these: 27%
😴
Session Fatigue
-8.266 SOL($551.26)
After trade #23, avg P&L drops to -0.6888 SOL
Trade #1 avg: +0.0927 SOL
🌀
Tilt Cascade
Each loss makes your next trade 13x worse
SPEED: 1.7x faster · SIZE: 1.53x bigger · FATIGUE: Trade #1: +0.0927 → #23: -0.6888
TOTAL BEHAVIORAL DRAG
-391.7 SOL($26.1k)
CIRCADIAN PROFILE
WORST: 9AM
12a1
2a4
3a9
4a7
5a10
6a11
7a11
9a4
10a1
11a1
12p6
1p9
2p9
3p7
4p7
5p12
6p11
7p6
8p9
9p4
10p2
11p1
Night (11PM–5AM): +3.3715 SOL/trade · Day (8AM–8PM): -0.719 SOL/trade
DISPOSITION EFFECT
0.2x
WINNER HOLD
5.5h
LOSER HOLD
1.3h
You hold losers 0.2x longer than winners.
SESSION FATIGUE
24 SESSIONS
#1
+0.0927
#2
+6.5852
#3
+3.6275
#4
-3.1252
#5
-1.1078
#6
-7.2466
#7
-2.1415
#8
+2.6011
Avg session: 5.9 trades. Dominant pattern: Unpredictable (60%)
POST-LOSS VELOCITY
1.7x FASTER
POST-LOSS GAP
4m
BASELINE GAP
6m
49 trades opened within 10 min of a loss. Loss rate on these: 73%
EQUITY CURVE
DISCIPLINED: +383.4 SOL
Peak: +53.5 SOL at token #4
Max drawdown: 164.9 SOL
- - - = you without 47 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 1.3k SOL (233% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 1.3x larger than first buy
→ Would save ~719.6 SOL
2
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 17.148 SOL vs 11.219 after win (1.53x)
→ Would save ~254.9 SOL
3
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 73% vs 87% baseline
→ Would save ~151.7 SOL
4
STOP BUYING ON PUMP_FUN
69 tokens from PUMP_FUN: 4% WR, -206.987 SOL net
→ Would save ~124.2 SOL
5
WAIT AT LEAST 6m BETWEEN TRADES
Fast trades lose 81% vs 51% for patient ones
→ Would save ~72.3 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.
9MTg...NPpr
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
84.7 SOL
-22.8%
4.5/10
Full autopsy →
GsMG...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
41.2 SOL
-41.0%
4.5/10
Full autopsy →
Drv7...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
36.1 SOL
-65.2%
4.5/10
Full autopsy →
3tVz...eQg4
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
25.2 SOL
-50.1%
4.5/10
Full autopsy →
DMtV...pump
Panic sold within minutes. Fear won.
The Paper Hand
19.8 SOL
-85.4%
7.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.