REKT AUTOPSY
FORENSIC TRADING ANALYSIS
BEHAVIORAL AUTOPSY / 7h3fgsJgJGXkUtqvtApMJbvJugMfzS4yz9wYoqsMqjjs
F
Behavioral Grade
F
20 / 100
Wallet Death Certificate
The math gives you a 99% chance of going to zero.
7h3fgsJgJGXkUtqvtApMJbvJugMfzS4yz9wYoqsMqjjs
At your current pace, your capital halves every 4.5 days.
Your brain cost you
646.0 SOL
≈ $47.3k behavioral damage
Survival prob.
0%
65 wins to break even
Capital half-life
4.5d
Bleed rate
0.163 SOL/hr
Win rate
41.6%
Net P&L
−453.8 SOL
Win rate
41.6%
Profit factor
0.37
Tokens
89
SOL in
1.8k
SOL out
1.4k
Primary
Diagnosis
90% 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.
90%
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.
+646.0 SOL
Catchable Losses
30 / 51
Behavioral Drag
90%
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
51 losses
→
Fast re-entry
11x
→
Bigger size
15 tokens
→
Late entry
→
Held collapse
Stages Fired
3 / 5
Fast Re-entries
11x
BEHAVIORAL DAMAGE REPORT
😴
Session Fatigue
-480.7 SOL($35.2k)
After trade #8, avg P&L drops to -32.0455 SOL
Trade #1 avg: -1.3017 SOL
📈
Averaging Down
-419.5 SOL($30.7k)
15 tokens where later buys were 2.4x larger
Later buys on losing positions
⏰
Late Night Trading
-165.3 SOL($12.1k)
20 trades between 11PM–5AM
Best hours: 1PM
😤
Revenge Trading
-37.0 SOL($2.7k)
11 trades within 10 min of a loss
Win rate on these: 45%
TOTAL BEHAVIORAL DRAG
-1.1k SOL($80.8k)
CIRCADIAN PROFILE
WORST: 12AM▾
12a3
1a2
3a1
4a6
5a2
6a1
7a1
8a3
10a1
12p9
1p1
2p6
4p8
5p1
6p5
7p5
8p4
9p17
10p5
11p8
Night (11PM–5AM): -8.2627 SOL/trade · Day (8AM–8PM): -5.0767 SOL/trade
DISPOSITION EFFECT
0.8x▾
WINNER HOLD
49.2d
LOSER HOLD
37.7d
You hold losers 0.8x longer than winners.
SESSION FATIGUE
30 SESSIONS▾
#1
-1.3017
#2
-8.9047
#3
-3.194
#4
-2.0471
#5
-1.2417
#6
-32.5009
#7
-11.186
#8
-32.0455
Avg session: 3 trades. Dominant pattern: Loss → Recovery (33%)
POST-LOSS VELOCITY
NORMAL▾
POST-LOSS GAP
4.5h
BASELINE GAP
4.5h
11 trades opened within 10 min of a loss. Loss rate on these: 55%
EQUITY CURVE
DISCIPLINED: +646.0 SOL▾
Peak: +1.007 SOL at token #1
Max drawdown: 454.8 SOL
- - - = you without 30 behavioral trades
P&L SUMMARY
▾
ADVANCED METRICS
▾
LOSS CONCENTRATION
▾
DEX ANALYSIS
▾
YOUR PRESCRIPTION
Rules derived from your trading data that would have saved you 2.0k SOL (277% of total losses)
1
NEVER ADD TO A LOSING POSITION
Later buys on losers are 2.4x larger than first buy
→ Would save ~1.0k SOL
2
STOP AFTER 3 TRADES PER SESSION
Trade #1 avg: -1.3017 SOL → Trade #8 avg: -32.0455 SOL
→ Would save ~338.2 SOL
3
CAP POSITIONS AT 10.353 SOL
6 oversized trades = 60% of total losses
→ Would save ~256.1 SOL
4
STOP BUYING ON JUPITER
30 tokens from JUPITER: 23% WR, -329.775 SOL net
→ Would save ~197.9 SOL
5
DON'T TRADE 12AM–3AM
Late-night avg: -8.2627 SOL vs -5.0767 daytime
→ Would save ~165.3 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.
FZN7...8f1j
Never sold. Still holding. Still hoping.
The Bag Holder
−109.7 SOL
-100.0%
9.0/10
Full autopsy →
H3pH...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−82.6 SOL
-53.5%
4.5/10
Full autopsy →
9Nc7...bonk
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−73.8 SOL
-46.0%
4.5/10
Full autopsy →
4kPp...pump
Never sold. Still holding. Still hoping.
The Bag Holder
−67.3 SOL
-100.0%
9.0/10
Full autopsy →
Cjqx...pump
Kept buying. It kept dumping. They kept buying.
The Repeat Offender
−48.7 SOL
-36.4%
4.5/10
Full autopsy →
NOT FINANCIAL ADVICE. JUST THE MATH.