Polydata

@Multicolored-Proximal

#5,33474

0x6ff2cb14da8be7eb57541d250a0196c5f295f140

57d· 1115 markets · 16868 tradesVol: $1,372,8462026-07-14T04:46
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.

74
Very Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 26%0/20
Profit Factor 2.03x15/15
Sharpe 0.55010/15
Sortino 2.55610/10
EV $+0.93810/10
HHI 5110/10
Profit Days 65%9/10
DD/Peak 3%10/10

Summary

Multicolored-Proximal is a moderately active trader on Polymarket, with 16,868 trades executed over 64 days. Holding the global PnL rank of #5334, they have generated a net profit of $30,254.94 from a total trading volume exceeding $1.37 million. Their portfolio value is steady at $1,908.50, supported by a strong win rate of 81% and a profit factor of 27.17, indicating consistent profitability.

The trader’s strategy heavily focuses on weather-related markets, accounting for 99% of their activity, suggesting a niche expertise. Multicolored-Proximal exhibits a low sell percentage of 5%, reflecting a preference for holding positions, consistent with their Diamond Hands badge. Their semi-bot trading style combines automated and manual inputs, which likely contributes to their very good Smart Score of 74. The equity trend is flat, showing stable portfolio performance without major fluctuations, while the Sharpe ratio of 0.55 suggests moderate risk-adjusted returns.

Multicolored-Proximal’s strengths lie in their high win rate, disciplined holding pattern, and specialization in weather markets, which may give them an edge in predicting outcomes. However, the relatively low Sharpe ratio and flat equity trend point to limited volatility and growth potential. Their semi-bot approach balances automation with human judgment but may also expose them to risks inherent in both methodologies. Overall, Multicolored-Proximal demonstrates consistent, low-risk trading within a focused market segment on Polymarket.

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

Badges

11
Profitable
PnL $+30,255
Lottery Player
93% entries <$0.20
Contrarian
99% entries <$0.50
Diamond Hands
5% sell
DCA Master
avg 18.4 entries/market
Weather Pro
99% weather
Hedger
avg 2.5 brackets/event
Win Streak
14 wins in a row
Whale
$55,679
Consistent
39/60 days
Cool Head
DD 3%

Categories

4
🌤️ WEATHER#41$30,352Vol: $1,368,168
🏛️ POLITICS#180,769$8Vol: $2,652
SPORTS#1,674,203$-125Vol: $1,990
📢 MENTIONS#14,311$20Vol: $21

Overview

#1
Net PnL
$30,255
Polymarket official
Total Volume
$1,372,846
Total Redeem
$6,462
Portfolio
$1,909
Predictions
1115
total markets
Trades
16032B / 836S
Daily Volume
$870
Account Age
57d
since May 17, 2026

Periods

#2
Today
$-102
Vol: $4,611
Week
$-34
Vol: $12,080
Month
$10,474
Vol: $450,628
All Time
$30,255
Vol: $1,372,846

PnL Analysis

#3
Win Rate (events)
40%
144W / 214L events
Realized PnL
$67,912
Win Rate
81%
47W / 11L
Profit Factor
27.17x
Avg Win
$296
Avg Loss
$-47

Outlier Sensitivity: Top-3 = $4,299 (32.1% of PnL)

Top Winners

Will the highest temperature in London be 25°C on May 29?$1,598
Will the highest temperature in Amsterdam be 25°C on July 11?$1,411
Will the highest temperature in London be 29°C on July 10?$1,291
Will the highest temperature in Amsterdam be 22°C on July 8?$1,219
Will the highest temperature in London be 27°C on July 11?$1,155
Will the highest temperature in London be 32°C on July 7?$778
Will the lowest temperature in London be 18°C on July 11?$587
Will the highest temperature in Toronto be 35°C on July 3?$441
Will the highest temperature in New York City be between 84-85°F $410
Will the highest temperature in New York City be between 72-73°F $398

Top Losers

Will the highest temperature in London be 16°C on June 8?$-184
Will the highest temperature in London be 30°C on June 25?$-119
Will the highest temperature in London be 31°C on June 25?$-107
Will the highest temperature in Munich be 22°C on July 1?$-29
Will the highest temperature in London be 32°C on May 26?$-22
Will the highest temperature in Amsterdam be 18°C on June 14?$-14
Will the highest temperature in Warsaw be 19°C on July 7?$-13
Will the highest temperature in Madrid be 32°C on May 21?$-10
Will the highest temperature in New York City be between 94-95°F $-6
Will the highest temperature in Amsterdam be 27°C on July 10?$-5

Risk Metrics

#4
Sharpe
0.550
Sortino
2.556
HHI
51
Diversified
EV per $1
$0.938
Kelly %
78.9%
Half-Kelly
39.4%
Top-1 market
2.7%
Top-5 markets
8%

Behavior Analysis

#5
Trades / Day
292.5
Very active
Markets / Day
15.1
Active Hours
24/24
Around the clock
Peak Hour
14:00 UTC
Median Gap
56s
between trades
Avg Gap
5.7m
between trades
Night Trading
15%
22:00–06:00 UTC
Size Variance
5.99
Variable
Session Statistics
Sessions
50
Avg Duration
3 min
Avg Trades / Session
4.3

Bot Detection

#6
65
SEMI-BOT (bot + manual)MEDIUM probability

8 indicators analyzed

Trade Speed
MEDIUM
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
HIGH
Size Consistency
LOW
Market Coverage
HIGH
Median gap 56s — typical for humanSize CV 5.99 — diverse, typical for human15% at night — normal sleep pattern24/24 hours — around the clockSession CV 1.06 — human randomness292 trades/day — automation15 markets/day — mass coverage1095 total positions — large-scale activity

Timing Patterns

#7

Peak hour: 14:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
18.4
Heavy DCA
<=1
137 entries
<=2
188 entries
<=5
313 entries
<=10
460 entries
<=20
612 entries
<=50
789 entries
>50
80 entries

Price Levels

#9
Low (<20c)93.4%
Mid (20-55c)6.1%
High (>55c)0.5%

City Stats

#10

YES bias: 87.5%

London$6,561
Amsterdam$2,618
New York City$1,338
Paris$1,284
Munich$572
Toronto$537
Madrid$308
Warsaw$194
Hong Kong$0
Milan$0
Seoul$0
Ankara$0
Atlanta$0
Wellington$0
Helsinki$0
Moscow$0
Buenos Aires$0
Taipei$0

Bracket Analysis

#11
Avg brackets/event
2.5
Events covered
341

Moderate coverage

<=1
117 brackets
<=2
197 brackets
<=3
260 brackets
<=4
297 brackets
<=5
317 brackets
<=8
340 brackets
>8
1 brackets

Sessions

#12
5/17/2026, 10:14:28 AM4 trades$25 min
5/17/2026, 10:33:36 AM22 trades$3417 min
5/17/2026, 10:57:10 AM1 trades$40 min
5/17/2026, 11:05:23 AM4 trades$10 min
5/17/2026, 11:13:47 AM1 trades$10 min
5/17/2026, 11:19:55 AM2 trades$50 min
5/17/2026, 11:36:06 AM1 trades$40 min
5/17/2026, 11:43:10 AM13 trades$016 min
5/17/2026, 12:22:02 PM10 trades$115 min
5/17/2026, 12:37:11 PM1 trades$00 min
5/17/2026, 12:43:18 PM3 trades$01 min
5/17/2026, 12:59:50 PM3 trades$00 min
5/17/2026, 1:12:18 PM9 trades$119 min
5/17/2026, 1:36:09 PM4 trades$63 min
5/17/2026, 2:14:57 PM5 trades$163 min
5/17/2026, 2:26:59 PM3 trades$102 min
5/17/2026, 2:38:27 PM3 trades$33 min
5/17/2026, 2:46:48 PM10 trades$40 min
5/17/2026, 3:00:13 PM1 trades$00 min
5/17/2026, 3:08:58 PM3 trades$110 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
05-17
05-27
06-06
06-17
06-27
07-07
07-14

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

Profile

#14
Specialization
WEATHER
99.4% weather
Holding Style
HOLD
5% sell
DCA Style
HEAVY
avg 18.4/mkt
Hedging
SINGLE
avg 2.5 br/event