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Those-Orientation

@Those-Orientation

#2,59564

0x15ceffed7bf820cd2d90f90ea24ae9909f5cd5fa

147d· 4896 markets · 5490 tradesVol: $7,419,001 @0xMarchyel2026-06-05T17:43
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.

64
Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 89%20/20
Profit Factor 0.69x0/15
Sharpe 0.4448/15
Sortino 0.5536/10
HHI 3710/10
Profit Days 89%10/10
DD/Peak 6%10/10

Summary

Those-Orientation is a moderately active trader on Polymarket, ranked #2595 globally with a net profit of $59,175.22. Over 308 days, they executed 5,490 trades across 727 markets, accumulating a total volume of over $7.4 million. Their Smart Score of 64/100 and a win rate of 78.0% reflect generally effective trading, though their profit factor of 0.69 and Sharpe ratio of 0.44 suggest moderate risk-adjusted returns. The trader’s portfolio value has recently been declining despite consistent activity.

The trader shows a clear preference for weather markets, which account for 98% of their trades, indicating a specialized focus. Those-Orientation tends to hold positions relatively briefly, as evidenced by a 16% sell rate and zero max drawdown duration, suggesting disciplined risk control. Their semi-bot trading style combines automated and manual strategies, supported by top badges like Sniper and DCA Master, implying a blend of precision entries and dollar-cost averaging techniques.

Those-Orientation’s main strengths include a high win rate and strong specialization in weather markets, which likely contributes to their consistent profits. However, the low profit factor and declining equity trend highlight potential issues with trade sizing or market conditions impacting profitability. Additionally, their semi-automated approach may expose them to risks if market dynamics shift suddenly, warranting ongoing monitoring.

Analysis based on the last 250 closed positions. Full trading history — coming soon.

Badges

9
Sniper
Win Rate 89%
Profitable
PnL $+59,175
DCA Master
avg 6.3 entries/market
Weather Pro
98% weather
Win Streak
489 wins in a row
Whale
$766,776
Consistent
79/89 days
High Roller
$2,490/day
Cool Head
DD 6%

Categories

7
🌤️ WEATHER#13$59,188Vol: $7,409,853
SPORTS#212,989$18Vol: $7,515
🎭 CULTURE#651,685$-8Vol: $500
💰 FINANCE#38,426$19Vol: $488
🏛️ POLITICS#1,382,553$-36Vol: $291
📈 ECONOMICS#552,763$-6Vol: $100
CRYPTO#1,187,576$-20Vol: $51

Overview

#1
Net PnL
$59,175
Polymarket official
Total Volume
$7,419,001
Total Redeem
$592,961
Portfolio
$267
Predictions
4896
total markets
Trades
4614B / 876S
Daily Volume
$2,490
Account Age
147d
since Jan 29, 2026

Periods

#2
Today
$-6
Vol: $0
Week
$45
Vol: $0
Month
$45
Vol: $0
All Time
$59,175
Vol: $7,419,001

PnL Analysis

#3
Win Rate (events)
91%
172W / 18L events
Realized PnL
$82,554
Win Rate
78%
538W / 152L
Profit Factor
0.69x
Avg Win
$436
Avg Loss
$-2,241

Top Winners

Will the highest temperature in Ankara be 21°C on May 8?$9,057
Will the highest temperature in Madrid be 18°C or below on May 8?$8,019
Will the highest temperature in Toronto be 10°C on May 7?$7,321
Will the highest temperature in Sao Paulo be 19°C on May 10?$7,313
Will the highest temperature in Seattle be between 64-65°F on May$7,030
Will the highest temperature in Buenos Aires be 26°C on May 6?$6,832
Will the highest temperature in London be 12°C on May 10?$6,009
Will the highest temperature in Buenos Aires be 27°C or higher on$5,259
Will the highest temperature in Houston be between 88-89°F on May$5,060
Will the highest temperature in London be 18°C on April 30?$5,056

Top Losers

Will the highest temperature in London be 12°C on March 22?$-11,985
Will the highest temperature in Paris be 18°C on April 16?$-10,022
Will the highest temperature in Seoul be 10°C on February 22?$-9,765
Will the highest temperature in London be 7°C on February 13?$-9,570
Will the highest temperature in London be 13°C on March 20?$-7,917
Will the highest temperature in Munich be 15°C or higher on April$-7,632
Will the highest temperature in London be 15°C on April 3?$-7,617
Will the highest temperature in London be 15°C on March 18?$-7,594
Will the highest temperature in Seoul be 6°C or higher on Februar$-6,032
Will the highest temperature in London be 17°C on April 7?$-5,853

Risk Metrics

#4
Sharpe
0.444
Sortino
0.553
HHI
37
Diversified
EV per $1
$-0.139
Kelly %
40.7%
Half-Kelly
20.4%
Top-1 market
1.6%
Top-5 markets
6.5%

Behavior Analysis

#5
Trades / Day
52.7
Very active
Markets / Day
7.0
Active Hours
24/24
Around the clock
Peak Hour
15:00 UTC
Median Gap
1.1m
between trades
Avg Gap
20.6m
between trades
Night Trading
4%
22:00–06:00 UTC
Size Variance
2.46
Variable
Session Statistics
Sessions
50
Avg Duration
3 min
Avg Trades / Session
4.8

Bot Detection

#6
40
SEMI-BOT (bot + manual)MEDIUM probability

6 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
MEDIUM
Size Consistency
LOW
Market Coverage
LOW
Median gap 69s — typical for humanSize CV 2.46 — diverse, typical for human4% at night — normal sleep pattern24/24 hours — around the clockSession CV 1.11 — human randomness53 trades/day — mass trading

Timing Patterns

#7

Peak hour: 15:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
6.3
Active DCA
<=1
198 entries
<=2
287 entries
<=5
446 entries
<=10
598 entries
<=20
688 entries
<=50
725 entries
>50
2 entries

Price Levels

#9
Low (<20c)13.6%
Mid (20-55c)12.9%
High (>55c)73.5%

City Stats

#10

YES bias: 26.5%

Houston$12,544
Seattle$10,824
Moscow$10,644
Warsaw$8,545
Miami$8,459
Madrid$8,244
Istanbul$6,748
Wellington$5,451
Sao Paulo$3,589
Helsinki$2,715
Los Angeles$1,741
Milan$1,550
San Francisco$27
Austin$11
Amsterdam$6
Other$0
Lagos$0
Hong Kong$-42

Bracket Analysis

#11
Avg brackets/event
1.8
Events covered
398

Single bracket

<=1
209 brackets
<=2
312 brackets
<=3
368 brackets
<=4
386 brackets
<=5
393 brackets
<=8
397 brackets
>8
1 brackets

Sessions

#12
2/9/2026, 7:44:33 AM3 trades$03 min
2/9/2026, 8:00:31 AM4 trades$02 min
2/9/2026, 8:53:25 AM1 trades$30 min
2/9/2026, 10:11:21 AM2 trades$21 min
2/9/2026, 10:23:27 AM7 trades$1984 min
2/9/2026, 11:06:53 AM5 trades$671 min
2/9/2026, 11:21:43 AM6 trades$1,1246 min
2/9/2026, 12:11:19 PM2 trades$624 min
2/9/2026, 12:23:45 PM1 trades$1800 min
2/9/2026, 12:31:29 PM1 trades$10 min
2/9/2026, 1:09:33 PM1 trades$2110 min
2/9/2026, 1:20:47 PM1 trades$50 min
2/9/2026, 1:40:41 PM2 trades$2170 min
2/9/2026, 1:53:57 PM1 trades$350 min
2/9/2026, 2:48:03 PM2 trades$5375 min
2/9/2026, 2:58:13 PM2 trades$9591 min
2/9/2026, 3:39:13 PM2 trades$150 min
2/9/2026, 4:06:19 PM1 trades$110 min
2/9/2026, 5:46:49 PM1 trades$10 min
2/9/2026, 6:43:51 PM1 trades$1360 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-01
02-15
03-01
03-19
04-04
05-02
05-17

Faded bars = markets ending in the future (PnL from early exits)

Profile

#14
Specialization
WEATHER
98.3% weather
Holding Style
ACTIVE SELLER
16% sell
DCA Style
HEAVY
avg 6.3/mkt
Hedging
SINGLE
avg 1.8 br/event