
@bless666
#93,587650x40ebc599a73b7450ccaaa2e26405d7cee8dfade9
~81d· 483 markets · 4490 tradesVol: $139,3152026-08-05 17:40:07
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.
65
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
53% (254/483)11.3/20
1.11x (win $11,015 / loss $9,896)3.9/15
Annualised Sharpe 1.34915/15
Sortino 1.88310/10
$+0.0296 per $1 invested1.5/10
HHI 50 (483 markets)10/10
49/80 profitable days (61%)7.8/10
Max DD 44% of peak ($785 / $1,786)5.2/10
Badges
5Profitable
PnL $+767
DCA Master
Avg 9.3 entries/market
Consistent
49/80 profitable days
Win Streak
10 wins in a row
🦉Night Owl
24/24 hours active
Categories
3🌤️ WEATHER#1,752$903Vol: $138,736
⚽ SPORTS#1,662,343$-89Vol: $385
₿ CRYPTO#1,391,505$-50Vol: $155
Overview
#1Net PnL
$767
Polymarket official
Total Volume
$139,315
Total Redeem
$0
Portfolio
$0
Predictions
483
total markets
Trades
2024B / 2466S
Daily Volume
$0
Account Age
~81d
Periods
#2Today
$17
Vol: $115
Week
$39
Vol: $653
Month
$39
Vol: $653
All Time
$767
Vol: $139,315
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
53%
254W / 229L events
Realized PnL
$767
Win Rate
53%
254W / 229L
Profit Factor
1.11x
Avg Win
$43
Avg Loss
$-45
Outlier Sensitivity: Top-3 = $1,403 (1.8297442185033979% of PnL)
Top Winners
Will the highest temperature in Shanghai be 29°C on April 27?$514
Will the highest temperature in New York City be between 54-55°F on March 16?$446
Will the highest temperature in Miami be between 86-87°F on May 1?$443
Will the highest temperature in Chongqing be 26°C on April 26?$385
Will the highest temperature in New York City be between 76-77°F on May 5?$259
Will the highest temperature in Miami be between 80-81°F on May 4?$236
Will the highest temperature in Chengdu be 23°C on April 29?$178
Will the highest temperature in New York City be between 42-43°F on March 28?$166
Will the highest temperature in New York City be between 56-57°F on March 22?$165
Will the highest temperature in Qingdao be 25°C on June 19?$156
Top Losers
Will the highest temperature in New York City be between 76-77°F on April 1?$-784
Will the highest temperature in New York City be between 58-59°F on May 2?$-530
Will the highest temperature in Wuhan be 28°C on June 12?$-322
Will the highest temperature in Atlanta be between 80-81°F on June 15?$-308
Will the highest temperature in Miami be between 84-85°F on April 26?$-289
Will the highest temperature in Ankara be 27°C on June 7?$-256
Will the highest temperature in New York City be between 72-73°F on May 10?$-249
Will the highest temperature in New York City be between 80-81°F on June 7?$-226
Will the highest temperature in Atlanta be between 72-73°F on May 12?$-218
Will the highest temperature in New York City be between 62-63°F on April 24?$-208
Risk Metrics
#4Sharpe
0.070
Sortino
0.087
HHI
54
Diversified
EV per $1
$0.030
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
2.3%
Top-5 markets
7.4%
Behavior Analysis
#5Trades / Day
30.3
Active
Markets / Day
3.3
Active Hours
24/24
Around the clock
Peak Hour
18:00 UTC
Median Gap
2.1m
between trades
Avg Gap
50.9m
between trades
Night Trading
9%
22:00–06:00 UTC
Size Variance
1.91
Variable
Session Statistics
Sessions
50
Avg Duration
4 min
Avg Trades / Session
15.8
Bot Detection
#630
LIKELY HUMAN (fast interface)LOW probability
7 indicators analyzed
Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 128s — normal for humanCV 1.91 — diverse sizes (human-like)9% night trades — normal pattern24/24 hours — around the clock30 trades/day — high frequency3.3 markets/day — normal40% maker — normal mix
Timing Patterns
#7Peak hour: 18:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
9.3
Price Levels
#9Low (<20c)15.5%
Mid (20-55c)33.2%
High (>55c)51.3%
Sessions
#123/29/2026, 9:25:28 PM1 trades$8610 min
5/5/2026, 5:55:18 PM14 trades$8433 min
5/10/2026, 5:06:38 AM12 trades$8134 min
4/26/2026, 11:56:24 PM4 trades$5870 min
6/13/2026, 6:57:43 AM17 trades$5612 min
4/30/2026, 8:38:20 AM23 trades$5592 min
4/27/2026, 6:55:08 AM26 trades$5386 min
5/8/2026, 5:44:02 PM4 trades$5371 min
4/26/2026, 5:57:44 AM29 trades$5269 min
4/29/2026, 12:27:44 PM2 trades$5240 min
4/1/2026, 5:57:27 PM15 trades$5141 min
6/7/2026, 3:36:28 AM17 trades$5117 min
4/28/2026, 6:56:02 PM11 trades$5071 min
6/9/2026, 3:36:34 AM24 trades$4756 min
6/10/2026, 6:27:49 PM11 trades$4731 min
5/13/2026, 9:51:22 PM23 trades$4697 min
5/10/2026, 4:41:09 PM22 trades$4675 min
6/6/2026, 2:54:15 PM23 trades$4526 min
5/8/2026, 5:52:21 PM9 trades$4442 min
6/7/2026, 8:52:55 PM25 trades$4426 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
03-09
03-22
04-04
05-05
05-29
06-17
07-09
Faded bars = markets ending in the future (PnL from early exits)
Max drawdown: 24 days (recovered)
Profile
#14Specialization
WEATHER
98% weather
Holding Style
ACTIVE SELLER
54.9% sell
DCA Style
HEAVY
avg 9.3/mkt
Entry Bias
HIGH $
L15.5 / M33.2 / H51.3