Polydata

@Different-Okra

#26,50810

0x0484bf76425db5021ce2d369f78fc125906d4830

215d· 12291 markets · 21064 tradesVol: $659,0802026-07-18T06:58
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.

10
Beginner
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 8%0/20
Profit Factor 0.67x0/15
HHI 1210/10
Profit Days 18%0/10

Summary

Different-Okra is a relatively active trader on Polymarket, with 21,064 trades across 3,382 markets over 96 days. Despite a high volume of $659,080, their net PnL stands at $4,640.41, placing them at rank #26,508 on the global leaderboard. Their portfolio value is currently $1,066.31. The trader's smart score of 10/100 and a Sharpe ratio of -0.52 indicate they are still in the early stages of skill development and have experienced some volatility in returns.

Different-Okra focuses exclusively on weather markets, as indicated by their 100% exposure in this sector. Their win rate of 71.8% coupled with a profit factor of 2.55 suggests a strategy that captures profitable trades consistently. The trader’s style is highly automated, supported by a bot score of 95/100, and they exhibit a contrarian and dollar-cost averaging approach. Notably, they never sell, implying a long-term holding or accumulation strategy, which aligns with badges like Diamond Hands and DCA Master.

While Different-Okra’s automated, high-frequency trading in weather markets offers diversification and steady wins, the downward equity trend and negative Sharpe ratio highlight potential risks in risk management and market timing. The absence of drawdown days is positive, but the trader’s beginner status and declining portfolio value warrant caution. Their reliance on automation and a single market type could expose them to sector-specific shocks on Polymarket.

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

Badges

8
Profitable
PnL $+4,640
Contrarian
68% entries <$0.50
Diamond Hands
0% sell
DCA Master
avg 6.2 entries/market
Weather Pro
100% weather
Bot
Score 95/100
Win Streak
22 wins in a row
Whale
$74,655

Categories

8
🌤️ WEATHER#337$5,704Vol: $600,787
SPORTS#1,772,770$-491Vol: $40,646
🏛️ POLITICS#1,570,870$-325Vol: $7,219
📈 ECONOMICS#638,864$-51Vol: $5,462
🎭 CULTURE#781,869$-148Vol: $3,336
💰 FINANCE#556,352$-8Vol: $934
💻 TECH#237,825$-43Vol: $195
CRYPTO#473,209$0Vol: $41

Overview

#1
Net PnL
$4,640
Polymarket official
Total Volume
$659,080
Total Redeem
$14,745
Portfolio
$1,066
Predictions
12291
total markets
Trades
21036B / 28S
Daily Volume
$778
Account Age
215d
since Dec 14, 2025

Periods

#2
Today
$-6
Vol: $0
Week
$-2,985
Vol: $118,972
Month
$-1,129
Vol: $241,512
All Time
$4,640
Vol: $659,080

PnL Analysis

#3
Win Rate (events)
12%
254W / 1932L events
Realized PnL
$41,756
Win Rate
72%
191W / 75L
Profit Factor
2.55x
Avg Win
$25
Avg Loss
$-25

Outlier Sensitivity: Top-3 = $650 (22.5% of PnL)

Top Winners

Will the highest temperature in Toronto be 30°C on July 16?$225
Will the highest temperature in Chicago be between 90-91°F on Jul$221
Will the highest temperature in Dallas be between 88-89°F on July$203
Will the highest temperature in Busan be 35°C on July 16?$201
Will the highest temperature in Seattle be between 82-83°F on Jul$162
Will the highest temperature in Mexico City be 25°C on July 15?$158
Will the highest temperature in Ankara be 30°C on July 16?$142
Will the highest temperature in Mexico City be 25°C on July 16?$128
Will the highest temperature in San Francisco be between 68-69°F $117
Will the highest temperature in Helsinki be 24°C on July 17?$115

Top Losers

Will the highest temperature in Atlanta be between 90-91°F on Jul$-157
Will the highest temperature in Manila be 34°C on July 16?$-155
Will the highest temperature in Seattle be between 72-73°F on Jul$-86
Will the highest temperature in Seoul be 29°C on July 16?$-83
Will the highest temperature in Miami be between 94-95°F on July $-68
Will the highest temperature in Shanghai be 38°C on July 17?$-62
Will the highest temperature in Seoul be 30°C on July 16?$-60
Will the highest temperature in London be 27°C on July 16?$-60
Will the highest temperature in Amsterdam be 23°C on July 17?$-56
Will the highest temperature in Miami be between 94-95°F on July $-55

Risk Metrics

#4
Sharpe
-0.524
Sortino
-0.586
HHI
12
Diversified
EV per $1
$-0.322
Kelly %
37.4%
Half-Kelly
18.7%
Top-1 market
0.6%
Top-5 markets
2.5%

Behavior Analysis

#5
Trades / Day
220.4
Very active
Markets / Day
35.4
Active Hours
24/24
Around the clock
Peak Hour
5:00 UTC
Median Gap
4s
between trades
Avg Gap
7.8m
between trades
Night Trading
28%
22:00–06:00 UTC
Size Variance
0.88
Variable
Session Statistics
Sessions
50
Avg Duration
0 min
Avg Trades / Session
1.4

Bot Detection

#6
95
BOT (automated trading)HIGH probability

8 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
40% < 3s — suspicious speedSize CV 0.88 — diverse, typical for human28% at night — bot never sleeps24/24 hours — around the clockSession CV 0.77 — human randomness220 trades/day — automation35 markets/day — mass coverage3373 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 5:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
6.2
Active DCA
<=1
861 entries
<=2
1363 entries
<=5
2106 entries
<=10
2741 entries
<=20
3200 entries
<=50
3379 entries
>50
3 entries

Price Levels

#9
Low (<20c)17%
Mid (20-55c)56.9%
High (>55c)26.1%

City Stats

#10

YES bias: 74.6%

Chicago$387
Toronto$318
Mexico City$301
Dallas$284
Busan$238
Ankara$197
Helsinki$189
San Francisco$164
Tokyo$161
Panama City$158
Seattle$134
Wellington$117
New York City$117
Wuhan$106
Singapore$92
Madrid$92
Sao Paulo$78
Beijing$78

Bracket Analysis

#11
Avg brackets/event
1.6
Events covered
2083

Single bracket

<=1
1197 brackets
<=2
1798 brackets
<=3
2003 brackets
<=4
2052 brackets
<=5
2079 brackets
<=8
2083 brackets
>8
0 brackets

Sessions

#12
4/13/2026, 12:20:31 AM1 trades$10 min
4/14/2026, 6:05:55 AM1 trades$10 min
4/15/2026, 10:06:06 AM1 trades$10 min
4/18/2026, 2:37:32 AM3 trades$30 min
4/18/2026, 3:54:32 AM2 trades$20 min
4/18/2026, 7:08:12 AM2 trades$21 min
4/18/2026, 9:05:56 AM1 trades$10 min
4/18/2026, 10:07:28 AM2 trades$20 min
4/18/2026, 11:05:54 AM1 trades$10 min
4/19/2026, 4:08:52 AM1 trades$10 min
4/19/2026, 5:05:44 PM1 trades$10 min
4/19/2026, 7:06:30 PM1 trades$10 min
4/20/2026, 7:35:18 PM1 trades$10 min
4/20/2026, 9:08:26 PM1 trades$10 min
4/21/2026, 12:08:20 AM1 trades$10 min
4/21/2026, 5:08:48 AM1 trades$10 min
4/21/2026, 3:08:00 PM1 trades$10 min
4/23/2026, 12:14:18 AM1 trades$10 min
4/23/2026, 3:08:32 AM1 trades$10 min
4/23/2026, 5:09:58 AM1 trades$10 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
04-13
05-02
05-17
06-02
06-19
07-04
07-18

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

Profile

#14
Specialization
WEATHER
99.9% weather
Holding Style
HOLD
0.1% sell
DCA Style
HEAVY
avg 6.2/mkt
Hedging
SINGLE
avg 1.6 br/event