@gksehgsoheiogesh
#2,130,139810x9d760a60fcfdb859d9c66b523eef58bee192f081
~8d· 10 markets · 19 tradesVol: $1,3612026-09-22 15:08:49
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.
81
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
70% (7/10)20/20
2.47x (win $8 / loss $3)15/15
Annualised Sharpe 4.99115/15
Sortino 9.32810/10
$+0.1133 per $1 invested5.7/10
HHI 1233 (10 markets)6.3/10
4/9 profitable days (44%)3.6/10
Max DD 41% of peak ($3 / $8)5.8/10
Badges
2Sniper
Win rate 70%
Win Streak
6 wins in a row
Categories
4🌤️ WEATHER#252,390$-14Vol: $338
⚽ SPORTS#481,522$0Vol: $186
₿ CRYPTO#627,277$0Vol: $1
💻 TECH#126,201$0Vol: $1
Overview
#1Net PnL
$-22
Polymarket official
Total Volume
$1,361
Total Redeem
$0
Portfolio
$0
Predictions
10
total markets
Trades
13B / 6S
Daily Volume
$0
Account Age
~8d
Periods
#2Today
$-1
Vol: $96
Week
$-10
Vol: $480
Month
$-10
Vol: $1,130
All Time
$-22
Vol: $1,361
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
70%
7W / 3L events
Realized PnL
$-12
Win Rate
70%
7W / 3L
Profit Factor
2.47x
Avg Win
$1
Avg Loss
$-3
Outlier Sensitivity: Top-3 = $8 (0.6645316253002402% of PnL)
Top Winners
Will the highest temperature in Sao Paulo be 25°C on July 26?$5
Will the highest temperature in Busan be 35°C on July 27?$2
Will the highest temperature in Kuala Lumpur be 30°C on July 25?$1
Will the highest temperature in Singapore be 34°C on July 31?$0
Top Losers
Will the highest temperature in Wellington be 12°C on July 28?$-3
Risk Metrics
#4Sharpe
0.246
Sortino
553.333
HHI
1086
Moderate
EV per $1
$0.113
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
15%
Top-5 markets
60.3%
Behavior Analysis
#5Trades / Day
0.4
Moderate
Markets / Day
0.2
Active Hours
9/24
Normal
Peak Hour
17:00 UTC
Median Gap
6.2h
between trades
Avg Gap
8.3h
between trades
Night Trading
21%
22:00–06:00 UTC
Size Variance
0.49
Moderate
Session Statistics
Sessions
11
Avg Duration
0 min
Avg Trades / Session
1.7
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
MEDIUM
Market Coverage
LOW
Median gap 22337s — normal for humanCV 0.49 — uniform order sizes21% night trades — unusual hours9/24 hours — normal schedule0 trades/day — normal0.2 markets/day — normal68% maker — normal mix
Timing Patterns
#7Peak hour: 17:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
1.9
Price Levels
#9Low (<20c)0%
Mid (20-55c)15.4%
High (>55c)84.6%
Sessions
#129/5/2026, 9:34:27 AM2 trades$100 min
9/8/2026, 7:01:10 PM2 trades$100 min
7/26/2026, 5:13:43 PM3 trades$83 min
7/25/2026, 9:06:09 AM2 trades$50 min
9/5/2026, 10:37:27 AM1 trades$50 min
9/10/2026, 2:37:22 AM1 trades$50 min
9/10/2026, 1:55:33 PM1 trades$50 min
7/28/2026, 12:45:24 AM1 trades$30 min
7/27/2026, 4:06:58 AM2 trades$30 min
7/30/2026, 5:33:48 PM2 trades$10 min
7/30/2026, 11:46:05 PM2 trades$10 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
2026-07-25 12:00:00
2026-07-26 12:00:00
2026-07-27 12:00:00
2026-07-28 12:00:00
2026-07-31 12:00:00
2026-09-05 12:00:00
2026-09-08 23:00:00
2026-09-10 05:00:00
2026-09-10 17:00:00
Faded bars = markets ending in the future (PnL from early exits)
Profile
#14Specialization
MIXED
70% weather
Holding Style
ACTIVE SELLER
31.6% sell
DCA Style
SINGLE
avg 1.9/mkt
Entry Bias
HIGH $
L0 / M15.4 / H84.6