Polydata
automatedAItradingbot

@automatedAItradingbot

#2,00579

0xd8f8c13644ea84d62e1ec88c5d1215e436eb0f11

523d· 3387 markets · 2320 tradesVol: $3,465,7672026-07-05T14:23
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.

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

Score Components

Win Rate 48%9/20
Profit Factor 36.69x15/15
Sharpe 0.4098/15
Sortino 11.10810/10
EV $+38.06910/10
HHI 8948/10
Profit Days 82%10/10
DD/Peak 1%10/10

Summary

AutomatedAItradingbot is a moderately active trader on Polymarket, holding the global PnL rank of #2005 with a net profit of $88,729.92. Over 692 days, the trader executed 2,320 trades across 328 markets, generating a total volume exceeding $3.4 million. The trader maintains a stable portfolio value of $13.84 with a smart score of 79/100, indicating very good trading acumen, and a Sharpe ratio of 0.41, reflecting moderate risk-adjusted returns.

This trader shows a clear preference for weather-related markets, which constitute 88% of their trades. AutomatedAItradingbot exhibits a risk profile leaning towards steady profits with a profit factor just under 2 and a win rate of 56.7%. The sell percentage is relatively low at 20%, suggesting a strategy that favors holding positions rather than frequent selling. Their trading style combines automated signals with manual inputs, as reflected by a semi-bot score of 45/100, and they appear to employ contrarian and dollar-cost averaging tactics, likely contributing to their consistent equity trend.

Key strengths for automatedAItradingbot include a diversified presence across many markets and a solid profit factor that supports profitability. Their contrarian and DCA mastery badges indicate disciplined risk management and strategic entry points. However, the relatively low Sharpe ratio and flat equity trend may signal limited upside and potential vulnerability in volatile conditions. Additionally, the semi-automated approach could introduce human bias, which might affect performance consistency on Polymarket.

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

Badges

8
Profitable
PnL $+88,730
Lottery Player
79% entries <$0.20
Contrarian
86% entries <$0.50
DCA Master
avg 5.7 entries/market
Weather Pro
88% weather
Win Streak
5 wins in a row
Consistent
136/166 days
Cool Head
DD 1%

Categories

8
🌤️ WEATHER#11$65,140Vol: $2,713,000
SPORTS#6,411$7,192Vol: $188,776
CRYPTO#57,738$241Vol: $56,524
🎭 CULTURE#797,241$-764Vol: $39,305
🏛️ POLITICS#1,484,081$-86Vol: $24,653
📈 ECONOMICS#5,629$329Vol: $10,272
💻 TECH#235,411$-52Vol: $7,824
💰 FINANCE#639,389$-875Vol: $5,639

Overview

#1
Net PnL
$88,730
Polymarket official
Total Volume
$3,465,767
Total Redeem
$6,054
Portfolio
$14
Predictions
3387
total markets
Trades
1865B / 455S
Daily Volume
$23
Account Age
523d
since Jan 31, 2025

Periods

#2
Today
$-51
Vol: $608
Week
$-221
Vol: $608
Month
$-80
Vol: $7,772
All Time
$88,730
Vol: $3,465,767

PnL Analysis

#3
Win Rate (events)
58%
213W / 152L events
Realized PnL
$195,198
Win Rate
57%
17W / 12L
Profit Factor
1.99x
Avg Win
$226
Avg Loss
$-160

Outlier Sensitivity: Top-3 = $2,990 (156.3% of PnL)

Top Winners

Will the highest temperature in Shanghai be 28°C on May 12?$1,499
Game Handicap: EVOS (-1.5) vs Geek Fam ID (+1.5)$879
Test Series Bangladesh vs. Pakistan: Bangladesh vs Pakistan - Mat$612
Game Handicap: TSA.W (-1.5) vs Suplex Team (+1.5)$460
T20 Blast: Warwickshire vs Northamptonshire - Completed match?$137
T20 World Cup, East Asia-Pacific Qualifier, Regional Final: Phili$88
Mobile Legends Bang Bang: Omnix vs Aterion Esports - Game 1 Winne$57
Mobile Legends Bang Bang: Omnix vs Aterion Esports - Game 2 Winne$28
UFC Freedom 250: Aiemann Zahabi vs. Sean O'Malley (Bantamweight, $22
Will the highest temperature in Ankara be 29°C on June 18?$16

Top Losers

Will the highest temperature in Qingdao be 14°C or below on April$-648
Will North West release an album by December 31?$-618
Game Handicap: ONIC (-1.5) vs RRQ Hoshi (+1.5)$-228
Map Handicap: VARREL (-1.5) vs ZETA DIVISION (+1.5)$-179
Valorant: VARREL vs ZETA DIVISION - Map 1 Winner$-175
Will Brice Turang lead the MLB in stolen bases for the 2026 regul$-40
Will the highest temperature in Taipei be 34°C or higher on April$-17
Will the highest temperature in New York City be between 84-85°F $-10
Will the highest temperature in Amsterdam be 18°C on June 9?$-6
Games Total: O/U 4.5$-1

Risk Metrics

#4
Sharpe
0.409
Sortino
11.108
HHI
894
Moderate
EV per $1
$38.069
Kelly %
0.0%
Half-Kelly
0.0%
Top-1 market
26.2%
Top-5 markets
48.6%

Behavior Analysis

#5
Trades / Day
12.5
Active
Markets / Day
1.8
Active Hours
24/24
Around the clock
Peak Hour
5:00 UTC
Median Gap
38s
between trades
Avg Gap
23.8m
between trades
Night Trading
52%
22:00–06:00 UTC
Size Variance
3.46
Variable
Session Statistics
Sessions
50
Avg Duration
4 min
Avg Trades / Session
12.1

Bot Detection

#6
45
SEMI-BOT (bot + manual)MEDIUM probability

7 indicators analyzed

Trade Speed
HIGH
Night Activity
MEDIUM
Active Hours
HIGH
Trade Frequency
LOW
Size Consistency
LOW
Market Coverage
LOW
Median gap 38s — typical for humanSize CV 3.46 — diverse, typical for human52% at night — bot never sleeps24/24 hours — around the clockSession CV 1.05 — human randomness12 trades/day — very active559 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
5.7
Active DCA
<=1
81 entries
<=2
139 entries
<=5
224 entries
<=10
281 entries
<=20
313 entries
<=50
326 entries
>50
1 entries

Price Levels

#9
Low (<20c)79.4%
Mid (20-55c)7.2%
High (>55c)13.4%

City Stats

#10

YES bias: 78.9%

Shanghai$1,499
Other$1,067
Ankara$16
Tokyo$3
Singapore$1
Seoul$0
Beijing$0
Hong Kong$0
London$0
Moscow$0
Istanbul$0
Jakarta$0
Paris$0
Wellington$0
Munich$0
Shenzhen$0
Chicago$0
Madrid$0

Bracket Analysis

#11
Avg brackets/event
1.6
Events covered
203

Single bracket

<=1
117 brackets
<=2
174 brackets
<=3
195 brackets
<=4
201 brackets
<=5
203 brackets
<=8
203 brackets
>8
0 brackets

Sessions

#12
12/31/2025, 1:23:19 PM1 trades$00 min
1/3/2026, 7:47:03 AM1 trades$00 min
1/23/2026, 3:27:06 PM3 trades$221 min
1/23/2026, 3:33:32 PM2 trades$1351 min
1/23/2026, 4:03:52 PM1 trades$30 min
1/24/2026, 9:18:00 AM1 trades$10 min
1/29/2026, 2:31:40 AM1 trades$10 min
2/17/2026, 10:22:59 PM1 trades$20 min
3/3/2026, 12:14:07 PM1 trades$20 min
3/3/2026, 12:36:51 PM1 trades$10 min
3/3/2026, 10:29:43 PM1 trades$70 min
3/4/2026, 8:45:21 PM38 trades$1628 min
3/4/2026, 9:08:45 PM2 trades$1561 min
3/4/2026, 9:22:03 PM19 trades$7189 min
3/4/2026, 9:37:09 PM3 trades$90 min
3/7/2026, 2:55:33 PM1 trades$10 min
3/12/2026, 3:32:59 PM12 trades$1261 min
3/16/2026, 11:31:25 AM8 trades$233 min
4/26/2026, 2:33:32 AM58 trades$4218 min
4/27/2026, 1:54:38 AM6 trades$1522 min

Equity Curve

#13
Cumulative PnL by market end date Profit Loss Today
02-07
06-01
01-07
02-26
03-28
06-09
09-28

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

Profile

#14
Specialization
WEATHER
88.4% weather
Holding Style
ACTIVE SELLER
19.6% sell
DCA Style
HEAVY
avg 5.7/mkt
Hedging
SINGLE
avg 1.6 br/event