REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 7yUtkzZ6MqfTYojUDPvbN9bm4PttXfGPEg1j1a1nJTer
C
Behavioral Grade
C
59 / 100
Wallet Autopsy Report
The math gives you a 99% chance of going to zero.
7yUtkzZ6MqfTYojUDPvbN9bm4PttXfGPEg1j1a1nJTer
At your current pace, your capital halves every 0.8 days.
Your brain cost you
58.0 SOL
$4.3k behavioral damage
Survival prob.
Capital half-life
0.8d
Bleed rate
0.276 SOL/hr
Win rate
40.4%
Net P&L
+48.2 SOL
Win rate
40.4%
Profit factor
1.62
Tokens
57
SOL in
171.4
SOL out
219.6
Primary
Diagnosis
75% of attributed damage came from recurring behavior, not market noise — sizing, tilt, timing.
§ 03 · Compound Intelligence
THE NUMBERS THAT MATTER.
Avoidable Loss Score
Most losses were behavioral, not random.
75%
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.
+58.0 SOL
Catchable Losses
23 / 34
Behavioral Drag
75%
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
34 losses
Fast re-entry
16x
Bigger size
2 tokens
Late entry
Held collapse
10x hold
Stages Fired
4 / 5
Fast Re-entries
16x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-31.6 SOL($2.3k)
2 tokens where later buys were 2.1x larger
Later buys on losing positions
😤
Revenge Trading
-20.2 SOL($1.5k)
16 trades within 10 min of a loss
Win rate on these: 25%
💎
Diamond Hand Delusion
-6.138 SOL($449.87)
Held losers 10x longer than winners
Winners: 3.5h · Losers: 1.5d
😴
Session Fatigue
-4.630 SOL($339.37)
After trade #15, avg P&L drops to -1.5433 SOL
Trade #1 avg: +6.1316 SOL
Late Night Trading
-1.847 SOL($135.40)
8 trades between 11PM–5AM
Best hours: 10AM
TOTAL BEHAVIORAL DRAG
-64.5 SOL($4.7k)
CIRCADIAN PROFILE
WORST: 5PM
12a2
4a1
6a1
7a2
8a5
9a1
10a2
11a2
1p1
2p5
3p2
4p1
5p2
6p2
7p11
8p5
9p4
10p3
11p5
Night (11PM–5AM): -0.2309 SOL/trade · Day (8AM–8PM): +1.6028 SOL/trade
DISPOSITION EFFECT
10x
WINNER HOLD
3.5h
LOSER HOLD
1.5d
You hold losers 10x longer than winners. This is extreme. Cut losers faster.
SESSION FATIGUE
6 SESSIONS
#1
+6.1316
#2
+6.1808
#3
-1.7049
#4
+5.0673
#5
-1.3747
#6
-1.5179
#7
-1.2307
#8
-1.4501
Avg session: 9.5 trades. Dominant pattern: Win → Collapse (80%)
POST-LOSS VELOCITY
1.5x FASTER
POST-LOSS GAP
<1m
BASELINE GAP
<1m
16 trades opened within 10 min of a loss. Loss rate on these: 75%
EQUITY CURVE
DISCIPLINED: +58.0 SOL
Peak: +82.8 SOL at token #11
Max drawdown: 34.6 SOL
- - - = you without 23 behavioral trades
P&L SUMMARY
ADVANCED METRICS
LOSS CONCENTRATION
DEX ANALYSIS
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 90.1 SOL (116% of total losses)
1
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: +6.1316 SOL → Trade #15 avg: -1.5433 SOL
→ Would save ~30.7 SOL
2
NEVER ADD TO A LOSING POSITION
Later buys on losers are 2.1x larger than first buy
→ Would save ~20.3 SOL
3
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 75% vs 60% baseline
→ Would save ~20.2 SOL
4
STOP BUYING ON PUMP_FUN
23 tokens from PUMP_FUN: 13% WR, -16.388 SOL net
→ Would save ~9.833 SOL
5
AVOID TRADING ON WEDS
WED avg: -1.1744 SOL across 11 trades
→ Would save ~9.043 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.
A2Px...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
11.1 SOL
-81.7%
5.0/10
Full autopsy →
GT53...pump
Watched it die slowly and did nothing.
The Slow Bleeder
6.561 SOL
-72.9%
2.5/10
Full autopsy →
BuNA...pump
Watched it die slowly and did nothing.
The Slow Bleeder
5.613 SOL
-87.4%
5.0/10
Full autopsy →
7jEm...pump
Watched it die slowly and did nothing.
The Slow Bleeder
3.664 SOL
-51.8%
2.5/10
Full autopsy →
FaFp...tire
Token went to zero. Wallet went to therapy.
The Rug Victim
3.648 SOL
-100.0%
6.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.