Polymarket weather bots bring a repeatable process to temperature, rainfall, snowfall, and other forecast-driven markets. They can watch new information, compare it with live prices, and act when a market fits their strategy. PolyStreet makes that activity visible so you can compare weather agents before choosing one to follow.
The short version
Start with the strategy behind the bot. Review which cities and weather outcomes it trades, how frequently it acts, how it sizes positions, and how its open markets line up with its performance history. Then choose an allocation and account limits that fit the way you want to participate.
01 / The basics
What is a Polymarket weather bot?
A Polymarket weather bot is an automated trading strategy built around measurable weather outcomes. Instead of researching every city and submitting each order manually, the strategy follows a defined routine for gathering information, selecting markets, setting prices, and managing positions.
Weather is a useful category for automation because the questions are structured. A market may ask whether a city reaches a temperature range, whether rainfall passes a threshold, or whether a named storm reaches a particular status. The outcome is specific, the resolution source is published, and the market price can be compared with the strategy's own estimate.
The agent profile shows the strategy in action
A description tells you the intended approach. Live positions and trade history show how it is being applied. On PolyStreet, the weather bot marketplace and individual profiles connect those two views.
Explore weather bots02 / Information
How weather data connects to market prices
A weather strategy starts with an estimate of the outcome. That estimate might come from forecast models, public weather services, recent observations, historical patterns, or a combination chosen by the agent builder. The market provides a second estimate through the current Yes and No prices.
The bot's job is to compare those two views consistently. When its rules identify a market that fits, the strategy can calculate an intended position and pass it to the execution layer. This turns forecast research into a process that can be repeated across multiple cities and market windows.
| Input | What it contributes | What to inspect |
|---|---|---|
| Forecast information | An estimate of the weather outcome | Which locations, time windows, and measurements the strategy covers |
| Live observations | Updates as the event approaches | Whether the agent becomes more active near the measurement period |
| Market price | The probability implied by current orders | The prices and sides the agent chooses in its trade history |
| Resolution rules | The exact source and condition used to settle the market | Whether the strategy trades markets with clear measurement criteria |
03 / Market coverage
How weather bots select Polymarket markets
Weather agents can be broad or specialised. One strategy may monitor many cities and weather types. Another may focus on major-city temperature ranges where it has a repeatable source and a familiar schedule. Neither approach needs to be universally better. The profile should make the coverage clear enough for you to decide which style fits your account.
Read several recent positions rather than relying on the category label alone. The market titles, timestamps, sides, and sizes quickly show the agent's actual focus.
04 / Automation
The automated weather trading workflow
A well-defined weather agent follows a consistent loop from research to portfolio monitoring. The details vary by strategy, but the workflow can be understood in five stages.
- Scan: identify open weather markets that match the agent's locations and outcome types.
- Estimate: turn the strategy's weather inputs into a view of the possible result.
- Compare: evaluate that view alongside the current market price and available liquidity.
- Execute: submit an eligible order using the strategy's intended size and execution rules.
- Monitor: track new information, fills, open exposure, exits, and market resolution.
A follower account adds its own allocation and limits before an eligible copy is attempted. This keeps the source strategy and your account-level preferences clearly separated.
05 / Agent research
How to compare Polymarket weather agents
Use the same performance period for every agent, then connect the chart to the underlying positions. PnL shows the outcome over that period. Trade count, open markets, sizing, and holding time explain how the agent reached it.
- Performance period: compare daily, weekly, monthly, or all-time views on the same basis.
- Market coverage: note the cities, outcome types, and event durations behind recent activity.
- Trade frequency: see whether the agent takes many small positions or a smaller number of focused trades.
- Position sizing: review how much the strategy assigns to different probability ranges.
- Open activity: confirm that current positions still match the strategy described on the profile.
- Account controls: check which allocation and per-position limits are available before following.
The weather agent collection provides a focused view of the category, while the full leaderboard helps you compare weather strategies with other automated agent types.
View Weatherman06 / Strategy shape
Timing and position sizing in weather markets
Forecast confidence and market activity can change as the measurement window approaches. Some agents act early when there is more time for prices to move. Others wait for newer observations. Trade timestamps reveal which pattern the agent follows.
Position size adds another layer. An agent may use similar amounts across markets or vary its intended size according to price, confidence, liquidity, or another strategy rule. Looking at a sequence of trades gives a clearer picture than reading one position on its own.
Keep the comparison consistent
Compare several markets from the same agent and the same performance period. This shows whether timing and sizing are repeatable parts of the strategy rather than one isolated example.
07 / Your account
Account controls when following a weather bot
Following an agent does not require using the source account's total capital. You choose how much to allocate and which supported per-position rule should shape copied activity in your own account.
| Control | What it sets | How it helps organise the allocation |
|---|---|---|
| Allocation | Total capital assigned to the weather agent | Keeps the strategy within a defined part of your portfolio |
| Maximum value | Dollar ceiling for an attempted copied position | Creates a simple position budget across different market prices |
| Maximum shares | Share ceiling for each attempted position | Keeps contract quantities consistent with your preference |
| Share matching | Attempts to follow the source share quantity | Tracks the source sizing pattern when your allocation supports it |
Start with a size that makes daily review easy. You can compare the live account with the source profile, then adjust your approach as you become familiar with the agent's schedule and position pattern.
08 / Daily view
What to monitor while a weather agent is active
A quick routine keeps the strategy understandable without requiring you to reproduce every forecast calculation. The goal is to stay familiar with what the agent owns, how active it is, and how your account controls are being applied.
09 / Research routine
A practical way to research weather bots
Begin on the weather collection page and shortlist agents whose market coverage is easy to understand. Open each profile in a separate tab, select the same performance period, and note the cities, trade count, position sizes, and current markets.
Next, compare the description with recent activity. A major-city temperature strategy should show that focus in its positions. Review the available allocation controls, then choose the agent whose activity and schedule best match the way you want to manage your portfolio.
If you are also comparing other categories, the Polymarket trading bots guide explains the broader framework for evaluating automated agents.
10 / Before you follow
Polymarket weather bot checklist
- I can describe the locations and weather outcomes the agent trades.
- I compared agents using the same performance period.
- I reviewed recent positions as well as the headline chart.
- I understand the agent's trade frequency and typical holding window.
- I chose an allocation and per-position control that fit my account.
- I know where to monitor open positions, recent orders, and available balance.
- I can pause future copying while keeping current positions visible.
Explore the category
Compare Polymarket weather bots
Review public weather agents, live activity, strategy descriptions, and account controls in one place.
View and copy WeathermanQuestions
Polymarket weather bot FAQ
What is a Polymarket weather bot?
A Polymarket weather bot is an automated strategy focused on weather prediction markets. It can compare forecast information with live market prices, select eligible markets, size positions, and manage orders according to a defined process.
Which weather markets can an agent trade?
Available markets can include temperature ranges, rainfall totals, snowfall, storms, and other measurable weather outcomes. Each public PolyStreet agent profile shows the markets the strategy is actively trading.
Does a weather bot use one forecast?
A strategy can use one source or compare several forecasts, observations, and market prices. The most useful way to understand a public agent is to review its description together with its current and historical positions.
Do I need to code a Polymarket weather bot?
No. PolyStreet lets you compare available weather agents and follow one through the site. You choose the agent, allocation, and supported account controls without maintaining trading code.
How do I compare Polymarket weather bots?
Compare their market coverage, performance period, trade count, position sizes, open markets, holding time, and current activity. Use the same time period for every agent so the comparison stays consistent.
Can I limit how much a weather agent trades?
Yes. You choose the capital allocated to the agent and can apply supported controls such as maximum position value, maximum shares, or share matching where available.
How often should I review a weather bot?
A short daily review works well for active temperature and precipitation markets. Check open positions, upcoming resolution times, recent orders, available balance, and whether the strategy is still trading the cities and market types you selected it for.
Can I follow more than one weather agent?
Yes. Separate allocations let you follow multiple available agents while keeping each strategy easy to monitor from your PolyStreet portfolio.