@Satoshi..
#76,754730x564a61772f5fde1c3e0806e814a193983c2f8871
~97d· 2501 markets · 13499 tradesVol: $630,7312026-08-04 20:45:24
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.
73
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard
Score Components
98% (2457/2499)20/20
1.42x (win $4,637 / loss $3,256)7.8/15
Annualised Sharpe 2.45415/15
Sortino 3.02910/10
$+0.0064 per $1 invested0.3/10
HHI 13 (2499 markets)10/10
82/96 profitable days (85%)10/10
Max DD 70% of peak ($967 / $1,381)0/10
Badges
9Sniper
Win rate 98%
Profitable
PnL $+1,101
DCA Master
Avg 5.4 entries/market
Whale
$217,240 invested
Consistent
82/96 profitable days
High Roller
$1,697/day
Win Streak
222 wins in a row
🦉Night Owl
24/24 hours active
🏗️Market Maker
83% maker orders
Categories
2🌤️ WEATHER#1,455$1,149Vol: $629,187
₿ CRYPTO#1,380,257$-47Vol: $1,545
Overview
#1Net PnL
$1,101
Polymarket official
Total Volume
$630,731
Total Redeem
$1,227
Portfolio
$0
Predictions
2501
total markets
Trades
9501B / 3998S
Daily Volume
$0
Account Age
~97d
Periods
#2Today
$24
Vol: $4,856
Week
$-30
Vol: $15,993
Month
$57
Vol: $22,193
All Time
$1,101
Vol: $630,731
PnL Analysis
#3Realized profit from closed cash flows — may differ from Polymarket UI while positions are still open. Methodology
Win Rate (events)
98%
2457W / 42L events
Realized PnL
$1,101
Win Rate
98%
2457W / 42L
Profit Factor
1.42x
Avg Win
$2
Avg Loss
$-109
Outlier Sensitivity: Top-3 = $340 (0.3083145700174317% of PnL)
Top Winners
Will the highest temperature in Hong Kong be 27°C on June 10?$156
Will the highest temperature in Seattle be between 64-65°F on May 5?$115
Will the highest temperature in Lucknow be 39°C or below on April 28?$68
Will the lowest temperature in Shanghai be 32°C or higher on July 8?$57
Will the highest temperature in Manila be 37°C on June 18?$56
Will the highest temperature in San Francisco be between 80-81°F on June 10?$53
Will the highest temperature in Helsinki be 15°C on June 17?$50
Will the highest temperature in Sao Paulo be 19°C or below on May 12?$49
Will the highest temperature in San Francisco be between 88-89°F on June 11?$42
Will the highest temperature in San Francisco be between 70-71°F on June 7?$42
Top Losers
Will the highest temperature in Mexico City be 21°C on June 5?$-546
Will the highest temperature in Tokyo be 28°C or higher on May 4?$-363
Will the highest temperature in Helsinki be 9°C on April 25?$-328
Will the highest temperature in Seattle be between 62-63°F on May 5?$-257
Will the highest temperature in Hong Kong be 24°C on May 6?$-251
Will the highest temperature in San Francisco be between 90-91°F on June 11?$-219
Will the highest temperature in Kuala Lumpur be 36°C on April 25?$-149
Will the highest temperature in Guangzhou be 32°C on May 14?$-123
Will the highest temperature in Manila be 37°C on June 17?$-109
Will the highest temperature in Sao Paulo be 32°C on April 4?$-101
Risk Metrics
#4Sharpe
0.128
Sortino
0.076
HHI
14
Diversified
EV per $1
$0.006
Kelly %
20.8%
Half-Kelly
10.4%
Top-1 market
0.6%
Top-5 markets
2.7%
Behavior Analysis
#5Trades / Day
105.5
Very active
Markets / Day
19.5
Active Hours
24/24
Around the clock
Peak Hour
4:00 UTC
Median Gap
3.0m
between trades
Avg Gap
14.4m
between trades
Night Trading
29%
22:00–06:00 UTC
Size Variance
1.33
Variable
Session Statistics
Sessions
50
Avg Duration
19 min
Avg Trades / Session
32.0
Bot Detection
#675
BOT (automated trading)HIGH probability
7 indicators analyzed
Trade Speed
LOW
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 182s — normal for humanCV 1.33 — diverse sizes (human-like)29% night trades — never sleeps24/24 hours — around the clock105 trades/day — automation20 markets/day — mass coverage83% maker — frequent liquidity provider
Timing Patterns
#7Peak hour: 4:00 UTC
0
4
8
12
16
20
DCA Analysis
#8Avg entries/market
5.4
Price Levels
#9Low (<20c)0.5%
Mid (20-55c)0.2%
High (>55c)99.3%
Sessions
#126/11/2026, 2:09:54 PM55 trades$1,5556 min
6/11/2026, 4:51:09 AM74 trades$1,48319 min
4/24/2026, 1:41:04 PM52 trades$1,46348 min
6/20/2026, 3:01:04 AM25 trades$1,36512 min
6/6/2026, 12:40:00 PM21 trades$1,35322 min
4/26/2026, 6:19:24 AM77 trades$1,30066 min
6/7/2026, 6:43:12 AM15 trades$1,1951 min
4/28/2026, 7:31:32 AM96 trades$1,17737 min
4/25/2026, 11:22:06 AM72 trades$1,03242 min
4/28/2026, 5:58:32 AM75 trades$98152 min
6/12/2026, 3:25:54 AM23 trades$9325 min
4/25/2026, 6:16:50 AM51 trades$91728 min
6/4/2026, 12:24:48 PM34 trades$90523 min
6/19/2026, 4:02:02 PM14 trades$9039 min
4/26/2026, 10:43:24 AM57 trades$88061 min
6/19/2026, 6:10:59 AM30 trades$86315 min
4/24/2026, 6:29:40 AM40 trades$86221 min
4/27/2026, 6:42:38 PM62 trades$85528 min
6/10/2026, 4:32:34 AM35 trades$82423 min
6/18/2026, 4:00:43 AM35 trades$80013 min
Equity Curve
#13Cumulative PnL by market end date Profit Loss Today
03-30
05-03
05-27
06-16
07-02
07-19
08-04
Faded bars = markets ending in the future (PnL from early exits)
Max drawdown: 33 days (recovered)
Profile
#14Specialization
WEATHER
100% weather
Holding Style
ACTIVE SELLER
29.6% sell
DCA Style
HEAVY
avg 5.4/mkt
Entry Bias
HIGH $
L0.5 / M0.2 / H99.3