@DueDiligenceDan
#3,090,064550x4815576d963abb9a5e2ba61d26e38114536183ba
~3d· 12 markets · 98 tradesVol: $141,2732026-09-22 19:37:00
SMART SCORE SYSTEM
Composite trader rating.
0 to 100.
Smart Score aggregates PnL consistency, win rate, risk management, diversification, timing patterns, and trading behavior into a single 0‑100 score. Combined with bot detection that analyzes trade timing gaps, order patterns, and execution speed.
55
Average
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
100% (2/2)20/20
99.00x (win $14 / loss $0)15/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$+0.0006 per $1 invested0/10
HHI 9753 (2 markets)0/10
1/1 profitable days (100%)10/10
Max DD 0% of peak ($0 / $14)10/10
Badges
4Profitable
PnL $+1,844
Consistent
1/1 profitable days
High Roller
$8,351/day
Cool Head
Max DD 0%
Categories
5🏛️ POLITICS#49,214$169Vol: $42,971
💰 FINANCE#106,213$2Vol: $10,141
⚽ SPORTS#0$0Vol: $3,087
💻 TECH#13,092$22Vol: $2,542
₿ CRYPTO#0$0Vol: $1,983
Overview
#1Net PnL
$-2,473
Polymarket official
Total Volume
$141,273
Total Redeem
$0
Portfolio
$0
Predictions
12
total markets
Trades
27B / 71S
Daily Volume
$0
Account Age
~3d
Periods
#2Today
$-13,603
Vol: $82,122
Week
$-11,745
Vol: $141,273
Month
$-11,745
Vol: $141,273
All Time
$-2,473
Vol: $141,273
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
100%
2W / 0L events
Realized PnL
$1,844
Win Rate
100%
2W / 0L
Profit Factor
99x
Avg Win
$7
Avg Loss
$0
Outlier Sensitivity: Top-3 = $14 (0.007525115343536695% of PnL)
Top Winners
Will AfD win the most seats in the 2026 Mecklenburg-Vorpommern parliamentary elections?$14
Will SPD win the most seats in the 2026 Mecklenburg-Vorpommern parliamentary elections?$0
Top Losers
Risk Metrics
#4Sharpe
0.000
Sortino
0.000
HHI
230
Diversified
EV per $1
$0.004
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
15.2%
Top-5 markets
15.4%
Behavior Analysis
#5Trades / Day
32.7
Active
Markets / Day
4.0
Active Hours
8/24
Normal
Peak Hour
19:00 UTC
Median Gap
2.2m
between trades
Avg Gap
1.7h
between trades
Night Trading
2%
22:00–06:00 UTC
Size Variance
2.76
Variable
Session Statistics
Sessions
12
Avg Duration
2 min
Avg Trades / Session
8.2
Bot Detection
#615
HUMAN (manual trading)LOW probability
7 indicators analyzed
Trade Speed
LOW
Night Activity
LOW
Active Hours
LOW
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 133s — normal for humanCV 2.76 — diverse sizes (human-like)2% night trades — normal pattern8/24 hours — normal schedule33 trades/day — high frequency4.0 markets/day — normal28% maker — normal mix
Timing Patterns
#7Peak hour: 19:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
9
Price Levels
#9Low (<20c)0%
Mid (20-55c)0%
High (>55c)100%
Sessions
#129/21/2026, 7:51:50 AM3 trades$27,5152 min
9/20/2026, 9:01:50 PM22 trades$3,84811 min
9/19/2026, 12:30:11 PM22 trades$3,5812 min
9/19/2026, 11:50:54 AM4 trades$3,5250 min
9/20/2026, 7:41:41 PM24 trades$1,8533 min
9/21/2026, 7:44:11 AM15 trades$1,1822 min
9/20/2026, 9:58:08 PM1 trades$4460 min
9/21/2026, 12:02:32 AM2 trades$2730 min
9/20/2026, 10:18:52 AM2 trades$2340 min
9/20/2026, 9:40:20 PM1 trades$1770 min
9/20/2026, 11:29:59 PM1 trades$510 min
9/19/2026, 12:09:48 PM1 trades$400 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
2026-09-20 00:00:00
Faded bars = markets ending in the future (PnL from early exits)
Profile
#14Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
72.4% sell
DCA Style
HEAVY
avg 9/mkt
Entry Bias
HIGH $
L0 / M0 / H100