REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / DsHGZZmLxkbZM8WoJRxq6RcWMPJxsA3xhtgoRgoBZgbo
F
Behavioral Grade
F
21 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
DsHGZZmLxkbZM8WoJRxq6RcWMPJxsA3xhtgoRgoBZgbo
At your current pace, your capital halves every 0.6 days.
Your brain cost you
428.3 SOL
≈ $33.2k behavioral damage
Survival prob.
0%
85 wins to break even
Capital half-life
0.6d
Bleed rate
0.530 SOL/hr
Win rate
25.5%
Net P&L
−377.3 SOL
Win rate
25.5%
Profit factor
0.33
Tokens
165
SOL in
832.1
SOL out
454.8
Primary
Diagnosis
76% 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.
76%
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.
+428.3 SOL
Catchable Losses
62 / 117
Behavioral Drag
76%
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
117 losses
→
Fast re-entry
16x
→
Bigger size
18 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
16x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-221.4 SOL($17.2k)
18 tokens where later buys were 322.3x larger
Later buys on losing positions
😴
Session Fatigue
-151.4 SOL($11.7k)
After trade #8, avg P&L drops to -4.5867 SOL
Trade #1 avg: -3.8135 SOL
😤
Revenge Trading
-61.5 SOL($4.8k)
16 trades within 10 min of a loss
Win rate on these: 19%
⏰
Late Night Trading
-49.8 SOL($3.9k)
46 trades between 11PM–5AM
Best hours: 3PM
TOTAL BEHAVIORAL DRAG
-484.1 SOL($37.6k)
CIRCADIAN PROFILE
WORST: 6AM▾
12a7
1a6
2a6
3a15
4a8
5a4
6a1
7a1
11a1
12p12
1p7
2p8
3p2
4p12
5p20
6p18
7p6
8p14
9p6
10p7
11p4
Night (11PM–5AM): -1.0827 SOL/trade · Day (8AM–8PM): -2.73 SOL/trade
DISPOSITION EFFECT
0.4x▾
WINNER HOLD
3.7d
LOSER HOLD
1.6d
You hold losers 0.4x longer than winners.
SESSION FATIGUE
66 SESSIONS▾
#1
-3.8135
#2
+1.1359
#3
-2.7633
#4
-4.8574
#5
-2.1853
#6
-10.1937
#7
-1.8543
#8
-4.5867
Avg session: 2.5 trades. Dominant pattern: Loss from the Start (55%)
POST-LOSS VELOCITY
1.2x FASTER▾
POST-LOSS GAP
1.3h
BASELINE GAP
1.6h
16 trades opened within 10 min of a loss. Loss rate on these: 81%
EQUITY CURVE
DISCIPLINED: +428.3 SOL▾
Peak: +5.162 SOL at token #5
Max drawdown: 388.1 SOL
- - - = you without 62 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 689.1 SOL (122% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 322.3x larger than first buy
→ Would save ~218.4 SOL
2
STOP BUYING ON DFLOW
84 tokens from DFLOW: 18% WR, -333.255 SOL net
→ Would save ~200.0 SOL
3
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 5.816 SOL vs 3.209 after win (1.81x)
→ Would save ~152.5 SOL
4
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 81% vs 75% baseline
→ Would save ~61.5 SOL
5
AVOID TRADING ON THUS
THU avg: -3.1194 SOL across 26 trades
→ Would save ~56.8 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.
2p5e...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−38.8 SOL
-100.0%
7.0/10
Full autopsy →
C9NL...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−38.3 SOL
-98.0%
7.0/10
Full autopsy →
DTfN...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−21.7 SOL
-100.0%
8.0/10
Full autopsy →
6Pt4...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−21.3 SOL
-86.3%
6.0/10
Full autopsy →
zGh4...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−21.0 SOL
-100.0%
7.0/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.