REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / JDS4crwDBECr35fN2eScU7n4ABhWYA2Q69wSLiMbtf9n
F
Behavioral Grade
F
20 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
JDS4crwDBECr35fN2eScU7n4ABhWYA2Q69wSLiMbtf9n
At your current pace, your capital halves every 2.1 days.
Your brain cost you
631.2 SOL
≈ $49.6k behavioral damage
Survival prob.
0%
835 wins to break even
Capital half-life
2.1d
Bleed rate
0.206 SOL/hr
Win rate
18.8%
Net P&L
−685.2 SOL
Win rate
18.8%
Profit factor
0.08
Tokens
393
SOL in
856.1
SOL out
170.8
Primary
Diagnosis
85% 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.
85%
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.
+631.2 SOL
Catchable Losses
158 / 303
Behavioral Drag
85%
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
303 losses
→
Fast re-entry
94x
→
Bigger size
45 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
94x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-404.8 SOL($31.8k)
45 tokens where later buys were 142.5x larger
Later buys on losing positions
⏰
Late Night Trading
-145.8 SOL($11.5k)
50 trades between 11PM–5AM
Best hours: 1AM
😤
Revenge Trading
-84.4 SOL($6.6k)
94 trades within 10 min of a loss
Win rate on these: 9%
😴
Session Fatigue
-58.1 SOL($4.6k)
After trade #15, avg P&L drops to -1.047 SOL
Trade #1 avg: -0.8434 SOL
TOTAL BEHAVIORAL DRAG
-693.2 SOL($54.5k)
CIRCADIAN PROFILE
WORST: 11PM▾
12a5
1a3
2a7
3a11
4a8
5a12
6a21
7a17
8a22
9a35
10a28
11a31
12p17
1p22
2p20
3p13
4p18
5p17
6p17
7p9
8p19
9p19
10p6
11p16
Night (11PM–5AM): -2.9167 SOL/trade · Day (8AM–8PM): -1.8843 SOL/trade
DISPOSITION EFFECT
0.6x▾
WINNER HOLD
18.2d
LOSER HOLD
10.4d
You hold losers 0.6x longer than winners.
SESSION FATIGUE
111 SESSIONS▾
#1
-0.8434
#2
-0.6408
#3
-1.2434
#4
-4.162
#5
-0.8529
#6
-7.7491
#7
-0.5285
#8
-2.4977
Avg session: 3.5 trades. Dominant pattern: Loss from the Start (53%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
16m
BASELINE GAP
14m
94 trades opened within 10 min of a loss. Loss rate on these: 91%
EQUITY CURVE
DISCIPLINED: +631.2 SOL▾
Peak: +20.0 SOL at token #44
Max drawdown: 705.2 SOL
- - - = you without 158 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 1.4k SOL (191% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 142.5x larger than first buy
→ Would save ~385.4 SOL
2
STOP BUYING ON DFLOW
150 tokens from DFLOW: 5% WR, -566.933 SOL net
→ Would save ~340.2 SOL
3
CAP POSITIONS AT 1.089 SOL
31 oversized trades = 66% of total losses
→ Would save ~294.2 SOL
4
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 2.578 SOL vs 0.8548 after win (3.02x)
→ Would save ~260.3 SOL
5
AVOID TRADING ON THUS
THU avg: -3.9928 SOL across 53 trades
→ Would save ~148.1 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.
2cRS...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−73.8 SOL
-99.3%
7.0/10
Full autopsy →
2HmM...pump
Token went to zero. Wallet went to therapy.
The Rug Victim
−72.1 SOL
-97.2%
7.0/10
Full autopsy →
AVZG...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−41.0 SOL
-87.4%
6.0/10
Full autopsy →
77ek...FFZw
Never sold. Still holding. Still hoping.
The Bag Holder
−34.4 SOL
-100.0%
9.0/10
Full autopsy →
7hHe...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−21.1 SOL
-73.3%
4.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.