REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / DaugAG4h8czF7P1e6CYnC3HGauppbPWrKcFUqXwVWVXe
F
Behavioral Grade
F
14 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
DaugAG4h8czF7P1e6CYnC3HGauppbPWrKcFUqXwVWVXe
At your current pace, your capital halves every 0.3 days.
Your brain cost you
166.4 SOL
≈ $13.0k behavioral damage
Survival prob.
0%
80 wins to break even
Capital half-life
0.3d
Bleed rate
0.469 SOL/hr
Win rate
14.4%
Net P&L
−185.9 SOL
Win rate
14.4%
Profit factor
0.17
Tokens
111
SOL in
623.7
SOL out
437.8
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.
+166.4 SOL
Catchable Losses
63 / 95
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
95 losses
→
Fast re-entry
32x
→
Bigger size
10 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
32x
BEHAVIORAL DAMAGE REPORT
📈
Averaging Down
-107.1 SOL($8.4k)
10 tokens where later buys were 2x larger
Later buys on losing positions
😤
Revenge Trading
-42.8 SOL($3.3k)
32 trades within 10 min of a loss
Win rate on these: 9%
😴
Session Fatigue
-39.1 SOL($3.1k)
After trade #14, avg P&L drops to -3.7248 SOL
Trade #1 avg: -0.6838 SOL
⏰
Late Night Trading
-18.1 SOL($1.4k)
13 trades between 11PM–5AM
Best hours: 11AM
TOTAL BEHAVIORAL DRAG
-207.1 SOL($16.2k)
CIRCADIAN PROFILE
WORST: 1PM▾
12a1
1a2
2a1
10a4
11a4
12p4
1p3
2p10
3p8
4p16
5p8
6p8
7p9
8p7
9p6
10p11
11p9
Night (11PM–5AM): -1.395 SOL/trade · Day (8AM–8PM): -1.6698 SOL/trade
DISPOSITION EFFECT
1.3x▾
WINNER HOLD
12.5h
LOSER HOLD
16.5h
You hold losers 1.3x longer than winners.
SESSION FATIGUE
21 SESSIONS▾
#1
-0.6838
#2
-1.6597
#3
-1.4266
#4
-3.5517
#5
-1.4681
#6
-1.6243
#7
-0.177
#8
-3.4504
Avg session: 5.3 trades. Dominant pattern: Loss from the Start (64%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
1m
BASELINE GAP
1m
32 trades opened within 10 min of a loss. Loss rate on these: 91%
EQUITY CURVE
DISCIPLINED: +166.4 SOL▾
Peak: +12.4 SOL at token #1
Max drawdown: 198.3 SOL
- - - = you without 63 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 421.2 SOL (189% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 2x larger than first buy
→ Would save ~200.9 SOL
2
STOP BUYING ON JUPITER
84 tokens from JUPITER: 12% WR, -158.715 SOL net
→ Would save ~95.2 SOL
3
DON'T INCREASE SIZE AFTER A LOSS
Avg size after loss: 5.747 SOL vs 4.709 after win (1.22x)
→ Would save ~48.8 SOL
4
WAIT 30 MIN AFTER A LOSS
Post-loss trades lose 91% vs 86% baseline
→ Would save ~42.8 SOL
5
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: -0.6838 SOL → Trade #14 avg: -3.7248 SOL
→ Would save ~33.5 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.
C4b1...Wbjd
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−13.3 SOL
-64.2%
4.5/10
Full autopsy →
FFLo...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−11.4 SOL
-65.3%
4.5/10
Full autopsy →
5aLM...brrr
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−11.4 SOL
-77.5%
4.5/10
Full autopsy →
AdsL...7xbt
Lost SOL. Gained experience. Bad trade.
The Casualty
−9.251 SOL
-22.5%
2.5/10
Full autopsy →
yxRK...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−7.008 SOL
-59.7%
4.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.