
@WeatherTraderBot
#1,151320xacc8e9dcabf9d65a5c78e3bec6941ed53a2b7d08
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.
Score Components
Summary
WeatherTraderBot is a moderately active trader on Polymarket, with 6,976 trades completed over 787 days. Ranked #1151 globally by PnL, the bot has accumulated a net profit of $162,099.16 on a total volume exceeding $7.1 million. Despite this positive net PnL, its Smart Score is below average at 32/100, and the bot currently holds no open portfolio value. The equity trend shows steady growth, although the Sharpe Ratio is slightly negative at -0.03, indicating limited risk-adjusted returns.
The trader’s strategy predominantly focuses on weather-related markets, which make up 52% of its trades. WeatherTraderBot tends to take a contrarian and sniper approach, as reflected by its badges, combining occasional high-risk “lottery player” style bets with more targeted entries. The sell rate is relatively low at 20%, suggesting a preference for holding positions rather than frequent flipping. With a win rate of 38% and a profit factor under 1 (0.88), the bot appears to accept higher risk exposures and volatility in pursuit of outsized gains.
WeatherTraderBot’s key strength lies in its specialization in weather markets and its ability to grow equity consistently despite a suboptimal win rate. However, the negative profit factor and Sharpe Ratio highlight risks around inefficient trade execution and exposure to drawdowns. Its below-average Smart Score also suggests room for improvement in market timing or selection. Traders following WeatherTraderBot on Polymarket should be aware of its aggressive style and the potential for significant variance in outcomes.
Badges
7Categories
9Overview
#1Periods
#2PnL Analysis
#3Top Winners
Top Losers
Risk Metrics
#4Behavior Analysis
#5Bot Detection
#66 indicators analyzed
Timing Patterns
#7Peak hour: 20:00 UTC
DCA Analysis
#886 entries
136 entries
236 entries
332 entries
427 entries
482 entries
11 entries
Price Levels
#9City Stats
#10YES bias: 44.2%
Bracket Analysis
#11Single bracket
202 brackets
271 brackets
293 brackets
302 brackets
306 brackets
311 brackets
0 brackets
Sessions
#12Equity Curve
#13Faded bars = markets ending in the future (PnL from early exits)