Polydata
OlympusHive

@OlympusHive

#31,41372

0xf421705cbe3dd07db21ddd4a61eb8cce9386efce

25d· 285 markets · 1545 tradesVol: $291,9412026-06-27T07:54
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.

72
Very Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 30%0/20
Profit Factor 1.66x11/15
Sharpe 0.60011/15
Sortino 2.10910/10
EV $+1.50210/10
HHI 22010/10
Profit Days 79%10/10
DD/Peak 7%10/10

Summary

OlympusHive is a moderately active trader on Polymarket, ranked #31,413 globally by net profit and holding a Smart Score of 72, indicating very good performance. Over 34 days, OlympusHive has executed 1,545 trades across 225 markets, generating a net profit of $3,558.88 on a total traded volume near $292,000. Despite a modest portfolio value of $0.04, their equity trend shows consistent growth, supported by a profit factor of 2.52 and a Sharpe ratio of 0.60.

The trader’s strategy is heavily focused on weather-related markets, accounting for 99% of their activity, which suggests a specialized approach. OlympusHive appears to employ an automated trading bot, as reflected in their high Bot Score of 80 and a trading style marked by a 30% sell rate. Their win rate is 44.1%, indicating a willingness to accept some losses, but the strong profit factor and minimal drawdown duration highlight effective risk management and timely trade execution.

OlympusHive’s key strengths lie in their consistent profitability and specialization in weather markets, supported by algorithmic trading that likely enhances precision and speed. However, the relatively low win rate and near-zero portfolio suggest potential liquidity constraints or capital withdrawal. Additionally, heavy reliance on automated strategies and a narrow market focus could expose OlympusHive to sector-specific risks or technical failures.

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

Badges

9
Profitable
PnL $+3,559
Lottery Player
73% entries <$0.20
Contrarian
92% entries <$0.50
Weather Pro
99% weather
Bot
Score 80/100
Hedger
avg 2.4 brackets/event
Win Streak
5 wins in a row
Consistent
11/14 days
Cool Head
DD 7%

Categories

3
🌤️ WEATHER#499$3,627Vol: $231,305
SPORTS#1,446,218$-30Vol: $60,000
🏛️ POLITICS#1,410,934$-38Vol: $636

Overview

#1
Net PnL
$3,559
Polymarket official
Total Volume
$291,941
Total Redeem
$528
Portfolio
$0
Predictions
285
total markets
Trades
1089B / 456S
Daily Volume
$444
Account Age
25d
since Jun 2, 2026

Periods

#2
Today
$166
Vol: $10,592
Week
$2,935
Vol: $175,689
Month
$3,559
Vol: $291,941
All Time
$3,559
Vol: $291,941

PnL Analysis

#3
Win Rate (events)
38%
39W / 64L events
Realized PnL
$5,958
Win Rate
44%
56W / 71L
Profit Factor
2.52x
Avg Win
$119
Avg Loss
$-37

Outlier Sensitivity: Top-3 = $2,570 (64% of PnL)

Top Winners

Will the highest temperature in Seoul be 25°C on June 26?$1,368
Will the highest temperature in New York City be between 82-83°F $658
Will the highest temperature in Seoul be 29°C on June 24?$543
Will the highest temperature in Seoul be 26°C on June 24?$477
Will the highest temperature in Seoul be 26°C on June 25?$454
Will the highest temperature in Seoul be 28°C on June 27?$444
Will the highest temperature in Seoul be 31°C on June 19?$336
Will the highest temperature in Hong Kong be 32°C on June 25?$320
Will the highest temperature in Seoul be 27°C on June 24?$194
Will the highest temperature in Seoul be 26°C on June 26?$166

Top Losers

Will the highest temperature in New York City be between 86-87°F $-919
Will the highest temperature in Seoul be 25°C on June 25?$-364
Will the highest temperature in New York City be between 72-73°F $-132
Will the highest temperature in Hong Kong be 29°C on June 27?$-90
Will the highest temperature in Hong Kong be 30°C on June 20?$-58
Will the highest temperature in Toronto be 23°C on June 20?$-55
Will the highest temperature in Shenzhen be 33°C on June 25?$-49
Will the highest temperature in New York City be between 80-81°F $-48
Will the highest temperature in Seoul be 24°C on June 25?$-47
Will the highest temperature in Hong Kong be 30°C on June 21?$-44

Risk Metrics

#4
Sharpe
0.600
Sortino
2.108
HHI
220
Diversified
EV per $1
$1.502
Kelly %
12.1%
Half-Kelly
6.1%
Top-1 market
6.7%
Top-5 markets
24.6%

Behavior Analysis

#5
Trades / Day
139.6
Very active
Markets / Day
20.3
Active Hours
23/24
Around the clock
Peak Hour
4:00 UTC
Median Gap
1.1m
between trades
Avg Gap
11.9m
between trades
Night Trading
47%
22:00–06:00 UTC
Size Variance
2.88
Variable
Session Statistics
Sessions
50
Avg Duration
3 min
Avg Trades / Session
3.7

Bot Detection

#6
80
BOT (automated trading)HIGH probability

8 indicators analyzed

Trade Speed
MEDIUM
Night Activity
MEDIUM
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 65s — typical for humanSize CV 2.88 — diverse, typical for human47% at night — bot never sleeps23/24 hours — around the clockSession CV 1.12 — human randomness140 trades/day — automation20 markets/day — mass coverage328 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 4:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
4.9
Moderate DCA
<=1
70 entries
<=2
103 entries
<=5
157 entries
<=10
193 entries
<=20
215 entries
<=50
222 entries
>50
0 entries

Price Levels

#9
Low (<20c)72.7%
Mid (20-55c)20.2%
High (>55c)7.1%

City Stats

#10

YES bias: 74%

Seoul$4,003
Shenzhen$251
Tokyo$128
Helsinki$86
London$71
Hong Kong$70
Chicago$36
Guangzhou$4
Warsaw$0
Houston$0
Munich$0
Miami$0
Los Angeles$0
San Francisco$0
Amsterdam$0
Seattle$0
Milan$0
Dallas$0

Bracket Analysis

#11
Avg brackets/event
2.4
Events covered
94

Moderate coverage

<=1
35 brackets
<=2
56 brackets
<=3
73 brackets
<=4
84 brackets
<=5
91 brackets
<=8
94 brackets
>8
0 brackets

Sessions

#12
6/16/2026, 4:22:16 AM8 trades$148 min
6/16/2026, 1:23:31 PM2 trades$53 min
6/16/2026, 1:33:53 PM2 trades$30 min
6/16/2026, 1:50:59 PM2 trades$170 min
6/16/2026, 1:57:53 PM5 trades$110 min
6/16/2026, 2:31:38 PM1 trades$150 min
6/16/2026, 3:16:41 PM2 trades$175 min
6/16/2026, 4:31:10 PM5 trades$232 min
6/16/2026, 4:43:20 PM1 trades$10 min
6/16/2026, 4:48:58 PM1 trades$00 min
6/16/2026, 4:54:38 PM1 trades$00 min
6/16/2026, 5:03:34 PM6 trades$1712 min
6/16/2026, 5:30:11 PM3 trades$21 min
6/16/2026, 5:44:43 PM1 trades$30 min
6/16/2026, 5:56:46 PM5 trades$1044 min
6/16/2026, 6:22:52 PM1 trades$120 min
6/16/2026, 6:35:41 PM1 trades$10 min
6/16/2026, 6:43:56 PM2 trades$130 min
6/16/2026, 7:02:26 PM1 trades$00 min
6/16/2026, 7:33:14 PM3 trades$98 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
06-16
06-18
06-20
06-22
06-24
06-26
06-27
06-30

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

Profile

#14
Specialization
WEATHER
99.1% weather
Holding Style
ACTIVE SELLER
29.5% sell
DCA Style
MODERATE
avg 4.9/mkt
Hedging
SINGLE
avg 2.4 br/event