@Arr00
#2,847,28410x1e1a46ae7ada914774c80f82e68b6d6981a6a8dc
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.
1
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
29% (2/7)0/20
0.15x (win $85 / loss $552)0/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$-0.6201 per $1 invested0/10
HHI 3184 (7 markets)0/10
2/6 profitable days (33%)0.8/10
Max DD 0% of peak ($552 / $0)0/10
Badges
1Contrarian
60% entries < $0.55
Categories
4⚽ SPORTS#173,062$45Vol: $8,453
🏛️ POLITICS#1,597,665$-528Vol: $1,241
₿ CRYPTO#1,140,600$-10Vol: $455
🎭 CULTURE#685,592$-10Vol: $256
Overview
#1Net PnL
$-503
Polymarket official
Total Volume
$10,405
Total Redeem
$0
Portfolio
$0
Predictions
8
total markets
Trades
10B / 8S
Daily Volume
$0
Account Age
~9d
Periods
#2Week
$-4
Vol: $0
All Time
$-503
Vol: $10,405
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
29%
2W / 5L events
Realized PnL
$-503
Win Rate
29%
2W / 5L
Profit Factor
0.15x
Avg Win
$43
Avg Loss
$-110
Outlier Sensitivity: Top-3 = $85 (0.1697557871291067% of PnL)
Top Winners
Spurs vs. Knicks$82
Khamenei out as Supreme Leader of Iran by March 31?$4
Top Losers
Will Andrew Cuomo win the Democratic Primary for Mayor of New York City?$-382
Will Zohran Mamdani win the 2025 NYC mayoral election?$-100
Will Zohran Mamdani win the Democratic Primary for Mayor of New York City?$-50
Will Zelenskyy wear a suit before July?$-10
Will OpenZeppelin win 2025 Uniswap Cup?$-10
Risk Metrics
#4Sharpe
-0.425
Sortino
-0.388
HHI
2892
Concentrated
EV per $1
$-0.715
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
50.8%
Top-5 markets
84%
Behavior Analysis
#5Trades / Day
0.0
Moderate
Markets / Day
0.0
Active Hours
7/24
Normal
Peak Hour
0:00 UTC
Median Gap
1.9h
between trades
Avg Gap
6.7h
between trades
Night Trading
39%
22:00–06:00 UTC
Size Variance
0.63
Variable
Session Statistics
Sessions
12
Avg Duration
0 min
Avg Trades / Session
1.5
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 6696s — normal for humanCV 0.63 — diverse sizes (human-like)39% night trades — never sleeps7/24 hours — normal schedule0 trades/day — normal0.0 markets/day — normal11% maker — normal mix
Timing Patterns
#7Peak hour: 0:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
1.71
Price Levels
#9Low (<20c)30%
Mid (20-55c)30%
High (>55c)40%
Sessions
#127/31/2026, 12:29:54 AM6 trades$2000 min
6/24/2025, 8:25:55 PM1 trades$1500 min
6/23/2025, 8:07:19 PM1 trades$1470 min
6/28/2025, 7:48:01 PM1 trades$1000 min
6/10/2026, 9:50:30 PM2 trades$910 min
6/24/2025, 10:17:31 PM1 trades$850 min
3/3/2026, 7:14:47 PM1 trades$540 min
6/24/2025, 10:34:37 PM1 trades$500 min
2/28/2026, 9:05:57 PM1 trades$500 min
7/7/2025, 7:57:19 AM1 trades$100 min
11/16/2025, 12:50:34 AM1 trades$100 min
11/16/2025, 6:44:35 PM1 trades$00 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
06-24
06-28
07-07
11-16
03-03
06-10
Faded bars = markets ending in the future (PnL from early exits)
Profile
#14Specialization
MIXED
0% weather
Holding Style
ACTIVE SELLER
44.4% sell
DCA Style
SINGLE
avg 1.71/mkt
Entry Bias
MIXED
L30 / M30 / H40