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Unaware-Engine

@Unaware-Engine

#4,57873

0x6297b93ea37ff92a57fd636410f3b71ebf74517e

576d· 4381 markets · 5590 tradesVol: $2,092,895 @spydenuevo2026-07-01T01:45
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
Very Good
80-100Elite
60-79Diamond
40-59Gold
0-39Standard

Score Components

Win Rate 94%20/20
Profit Factor 0.03x0/15
Sharpe 0.71513/15
Sortino 21.70310/10
HHI 6610/10
Profit Days 98%10/10
DD/Peak 0%10/10

Summary

Unaware-Engine is a moderately active trader on Polymarket, ranking #4578 on the global PnL leaderboard with a net profit of $34,411.29. Over 488 days, they have executed 5,590 trades across 467 markets, generating a total volume exceeding $2 million. Their portfolio value remains stable at around $152, reflecting a consistent but cautious approach. Despite a relatively low win rate of 18.8%, Unaware-Engine maintains a positive overall PnL.

This trader primarily focuses on weather markets, which make up 99% of their activity, indicating strong domain specialization. Their strategy appears to be contrarian and selective, given a low sell percentage of 18% and a profit factor of 0.03, suggesting they hold positions for longer durations or seek high-impact outcomes. The smart score of 73 and Sharpe ratio of 0.72 imply a balanced risk profile with moderate volatility. Unaware-Engine’s timing does not show extended drawdowns, supporting a disciplined trading rhythm.

Unaware-Engine’s strengths lie in their specialized weather market expertise and consistency, as reflected by badges like “Weather Pro” and “Sniper.” However, the low profit factor and win rate highlight the risk of infrequent but possibly sizable losses. The stable equity trend and quick recovery from drawdowns mitigate some concerns, but reliance on niche markets and a lottery-style approach may expose them to unpredictable outcomes. Overall, Unaware-Engine demonstrates a unique blend of discipline and high-risk positioning on Polymarket.

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

Badges

9
Sniper
Win Rate 94%
Profitable
PnL $+34,411
Lottery Player
60% entries <$0.20
Contrarian
63% entries <$0.50
Weather Pro
99% weather
Win Streak
10 wins in a row
Whale
$124,155
Consistent
123/126 days
Cool Head
DD 0%

Categories

8
🌤️ WEATHER#32$34,459Vol: $2,089,173
🏛️ POLITICS#1,377,916$-26Vol: $1,259
🎭 CULTURE#645,057$-6Vol: $1,121
CRYPTO#280,088$5Vol: $345
💻 TECH#212,465$-8Vol: $169
📢 MENTIONS#117,521$-8Vol: $35
📈 ECONOMICS#202,069$0Vol: $3
SPORTS#931,331$-1Vol: $1

Overview

#1
Net PnL
$34,411
Polymarket official
Total Volume
$2,092,895
Total Redeem
$6,210
Portfolio
$152
Predictions
4381
total markets
Trades
4560B / 1030S
Daily Volume
$254
Account Age
576d
since Dec 8, 2024

Periods

#2
Today
$-7
Vol: $50
Week
$137
Vol: $14,087
Month
$-7
Vol: $50
All Time
$34,411
Vol: $2,092,895

PnL Analysis

#3
Win Rate (events)
95%
209W / 10L events
Realized PnL
$78,447
Win Rate
19%
53W / 229L
Profit Factor
0.03x
Avg Win
$62
Avg Loss
$-466

Top Winners

Will the highest temperature in Seattle be between 62-63°F on Jun$500
Will the highest temperature in New York City be between 72-73°F $305
Will the highest temperature in Shanghai be 19°C on May 8?$284
Will the highest temperature in London be 15°C on May 4?$271
Will the highest temperature in London be between 64-65°F on June$264
Will the highest temperature in Chicago be between 70-71°F on Jun$203
Will the highest temperature in Miami be between 94-95°F on June $162
Will the highest temperature in New York City be 49°F or higher o$143
Will the highest temperature in New York City be between 84-85°F $122
Will the highest temperature in Dallas be between 92-93°F on June$108

Top Losers

Will the highest temperature in London be 13°C or higher on Febru$-3,331
Will the highest temperature in New York City be 46°F or higher o$-1,891
Will the highest temperature in Atlanta be 59°F or below on March$-1,842
Will the highest temperature in New York City be 29°F or below on$-1,783
Will the highest temperature in London be 8°C on February 9?$-1,513
Will the highest temperature in New York City be between 60-61°F $-1,440
Will the highest temperature in Buenos Aires be 37°C or higher on$-1,350
Will the highest temperature in New York City be 48°F or higher o$-1,338
Will the highest temperature in New York City be between 40-41°F $-1,327
Will the highest temperature in Dallas be 58°F or higher on Febru$-1,249

Risk Metrics

#4
Sharpe
0.715
Sortino
21.703
HHI
66
Diversified
EV per $1
$-0.849
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
2.7%
Top-5 markets
8.6%

Behavior Analysis

#5
Trades / Day
13.8
Active
Markets / Day
1.2
Active Hours
24/24
Around the clock
Peak Hour
9:00 UTC
Median Gap
24s
between trades
Avg Gap
31.5m
between trades
Night Trading
7%
22:00–06:00 UTC
Size Variance
2.96
Variable
Session Statistics
Sessions
50
Avg Duration
0 min
Avg Trades / Session
1.4

Bot Detection

#6
20
LIKELY HUMAN (fast interface)LOW probability

6 indicators analyzed

Trade Speed
HIGH
Night Activity
LOW
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 24s — typical for humanSize CV 2.96 — diverse, typical for human7% at night — normal sleep pattern24/24 hours — around the clockSession CV 1.28 — human randomness14 trades/day — very active

Timing Patterns

#7

Peak hour: 9:00 UTC

0
4
8
12
16
20

DCA Analysis

#8
Avg entries/market
9.8
Active DCA
<=1
57 entries
<=2
92 entries
<=5
193 entries
<=10
306 entries
<=20
412 entries
<=50
464 entries
>50
3 entries

Price Levels

#9
Low (<20c)60.3%
Mid (20-55c)2.7%
High (>55c)37%

City Stats

#10

YES bias: 90.9%

Moscow$69
Munich$38
Karachi$9
Kuala Lumpur$0
Mexico City$0
Singapore$0
Tel Aviv$-266
Hong Kong$-267
Tokyo$-337
Busan$-347
Chongqing$-480
Jakarta$-492
Wuhan$-492
Austin$-902
Chicago$-913
Sao Paulo$-1,099
Paris$-1,148
Beijing$-1,188

Bracket Analysis

#11
Avg brackets/event
1.5
Events covered
304

Single bracket

<=1
207 brackets
<=2
265 brackets
<=3
290 brackets
<=4
296 brackets
<=5
302 brackets
<=8
304 brackets
>8
0 brackets

Sessions

#12
5/22/2025, 1:05:31 PM2 trades$40 min
5/22/2025, 1:12:51 PM3 trades$40 min
5/22/2025, 2:38:23 PM1 trades$00 min
5/22/2025, 3:01:33 PM3 trades$30 min
5/22/2025, 3:11:07 PM2 trades$30 min
5/22/2025, 8:28:14 PM1 trades$20 min
5/22/2025, 11:34:04 PM1 trades$60 min
5/23/2025, 7:50:22 AM2 trades$20 min
5/23/2025, 8:04:52 AM1 trades$00 min
5/23/2025, 8:12:52 AM2 trades$123 min
5/23/2025, 10:42:54 AM1 trades$00 min
5/23/2025, 10:52:22 AM2 trades$20 min
5/23/2025, 11:01:50 AM1 trades$20 min
6/6/2025, 7:25:17 PM1 trades$10 min
6/7/2025, 5:50:58 AM2 trades$40 min
6/7/2025, 6:28:06 AM1 trades$110 min
6/7/2025, 8:59:16 AM1 trades$20 min
6/7/2025, 10:18:54 AM2 trades$91 min
6/7/2025, 11:42:48 AM2 trades$71 min
6/7/2025, 12:10:18 PM1 trades$60 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-28
06-13
11-27
02-11
03-13
04-14

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

Profile

#14
Specialization
WEATHER
99.1% weather
Holding Style
ACTIVE SELLER
18.4% sell
DCA Style
HEAVY
avg 9.8/mkt
Hedging
SINGLE
avg 1.5 br/event