@andrew1826
#133,871620xc89f6a8359a9df3b18de10aa2b8ce962169daa5f
~2d· 8 markets · 125 tradesVol: $22,0822026-08-04 20:05:39
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.
62
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
100% (8/8)20/20
99.00x (win $168 / loss $0)15/15
Annualised Sharpe 0.0000/15
Sortino 0.0000/10
$+0.0653 per $1 invested3.3/10
HHI 1707 (8 markets)4/10
2/2 profitable days (100%)10/10
Max DD 0% of peak ($0 / $168)10/10
Badges
6Sniper
Win rate 100%
Profitable
PnL $+361
DCA Master
Avg 15.6 entries/market
Consistent
2/2 profitable days
Cool Head
Max DD 0%
Win Streak
8 wins in a row
Categories
1🌤️ WEATHER#3,304$361Vol: $22,082
Overview
#1Net PnL
$361
Polymarket official
Total Volume
$22,082
Total Redeem
$0
Portfolio
$0
Predictions
8
total markets
Trades
31B / 94S
Daily Volume
$0
Account Age
~2d
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
100%
8W / 0L events
Realized PnL
$361
Win Rate
100%
8W / 0L
Profit Factor
99x
Avg Win
$21
Avg Loss
$0
Outlier Sensitivity: Top-3 = $93 (0.2579732652948028% of PnL)
Top Winners
Will the highest temperature in Karachi be 33°C on July 18?$39
Will the highest temperature in Munich be 31°C on July 16?$28
Will the highest temperature in Seoul be 26°C on July 18?$26
Will the highest temperature in Paris be 33°C on July 16?$20
Will the highest temperature in Seoul be 28°C on July 16?$19
Will the highest temperature in Ankara be 30°C on July 16?$18
Will the highest temperature in Milan be 33°C on July 16?$10
Will the highest temperature in Warsaw be 30°C on July 16?$8
Top Losers
Risk Metrics
#4Sharpe
0.000
Sortino
0.000
HHI
1576
Moderate
EV per $1
$0.065
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
26.4%
Top-5 markets
76.5%
Behavior Analysis
#5Trades / Day
41.7
Active
Markets / Day
2.7
Active Hours
8/24
Normal
Peak Hour
9:00 UTC
Median Gap
2.2m
between trades
Avg Gap
43.5m
between trades
Night Trading
0%
22:00–06:00 UTC
Size Variance
0.84
Variable
Session Statistics
Sessions
15
Avg Duration
1 min
Avg Trades / Session
8.3
Bot Detection
#615
HUMAN (manual trading)LOW probability
7 indicators analyzed
Trade Speed
LOW
Night Activity
LOW
Active Hours
LOW
Trade Frequency
MEDIUM
Size Consistency
LOW
Market Coverage
LOW
Median gap 131s — normal for humanCV 0.84 — diverse sizes (human-like)0% night trades — normal pattern8/24 hours — normal schedule42 trades/day — high frequency2.7 markets/day — normal25% maker — normal mix
Timing Patterns
#7Peak hour: 9:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
15.62
Price Levels
#9Low (<20c)0%
Mid (20-55c)0%
High (>55c)100%
Sessions
#127/16/2026, 10:25:34 PM6 trades$8680 min
7/18/2026, 12:16:24 PM3 trades$6970 min
7/18/2026, 7:24:48 AM16 trades$4551 min
7/18/2026, 9:21:28 AM27 trades$3104 min
7/16/2026, 12:46:46 PM2 trades$2300 min
7/16/2026, 1:25:38 PM10 trades$2092 min
7/16/2026, 1:50:10 PM5 trades$1670 min
7/18/2026, 9:06:18 AM7 trades$1492 min
7/16/2026, 2:04:08 PM5 trades$1390 min
7/16/2026, 2:28:08 PM5 trades$1270 min
7/16/2026, 3:22:46 PM4 trades$1110 min
7/16/2026, 2:34:35 PM3 trades$1070 min
7/16/2026, 1:13:07 PM7 trades$1050 min
7/16/2026, 6:24:49 AM16 trades$640 min
7/16/2026, 6:16:23 AM9 trades$552 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
2026-07-16 12:00:00
2026-07-18 12:00:00
Faded bars = markets ending in the future (PnL from early exits)
Profile
#14Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
75.2% sell
DCA Style
HEAVY
avg 15.62/mkt
Entry Bias
HIGH $
L0 / M0 / H100