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Airavat: Trader Filters, Alerts and Paper Pods

Airavat is a private-alpha Polymarket research workspace linking trader analytics to reusable filters and pods. Pods either deliver matching events or simulate trades; paper activity does not use real trading capital.

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Pricing
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Availability: restricted

Screenshots and interface

What is Airavat?

Trader Score is a 0–100 composite of performance, risk, consistency, edge and experience. The default view trails 180 days. Category and time slices recompute metrics, and a score requires 20 closed positions in the slice; missing scores are not zero performance.

Saved filters have their own evaluation settings. Official guides differ: Traders describes Apply thresholds to category, while Sliced Metrics recommends a curated whitelist. Inspect the account control rather than assuming a saved filter inherits the table slice. P&L excludes fees, fills count individually, and current open positions differ in scope from period-specific closed counts.

Who it is for

  • Testing wallet-selection rules.
  • Simulating allocation with explicit exposure limits.
  • Comparing traders in the same category and period.

Features and coverage

  • Trader Score

    A 0–100 composite across performance, risk, consistency, edge and experience.

  • Sliced analytics

    Compare P&L, dollar-weighted win rate, Sharpe, Sortino and drawdown by category and time.

  • Reusable filters

    Define criteria, whitelists and blacklists.

  • Alert pods

    Send matches to email or Activity.

  • Paper copy pods

    Simulate sizing, scale-ups, proportional exits and position limits.

  • Manual paper pods

    Trade simulated positions without a filter.

  • Resolution research

    Explore analysis modes, disputes and rule changes.

  • Sample eligibility

    Default 180-day window; Trader Score requires 20 closed positions in a slice.

  • Metric scope

    P&L is gross of trading fees; frequency counts fills, so a split fill can add several events.

Workflows with Airavat

Build a paper strategy

Choose a slice and shortlist traders. Save criteria, check the filter's own window and attach a paper pod with capital and exposure limits.

Validate selection

Attach an alert pod first to inspect matches, then simulate with a paper pod on the same filter.

Compare consistently

Use the same category and period, check closed-position samples and separate realised P&L from unrealised holdings. Inspect threshold scope before saving.

Pricing and total cost

Access is private alpha. Plans limit active pods; the public access flow does not show a complete price table.

Getting started

Before you start: The attached filter and an alert's delivery method cannot be changed after creation.

  1. Request access and open Traders.
  2. Choose category/time and criteria.
  3. Save a filter and confirm its evaluation window.
  4. Create an Alert, Paper Copy Trade or Paper Discretionary pod.
  5. Set simulated capital, sizing, exposure and exits, then inspect results.

Paper pods use simulated funds and are not live copying accounts.

Read Airavat documentation

Read trader metrics and table scopes

Read slice eligibility and refresh cadence

Useful links

What to check

  • The attached filter and an alert's delivery method cannot be changed after creation.
  • Email is capped at 6 per hour or 144 per rolling day; additional matches are skipped until the window advances.
  • Saved-filter settings can differ from table slices; official guides disagree on preserving a narrow slice.
  • Paper trading does not execute live copies.

A closer look

Ratings & reviews

Editorial rating
3.0/ 5
0 user reviews

Our take on Airavat

Trader filters and simulated pods form a useful research workflow. Private-alpha access, alert caps and incomplete public pricing complicate use as a regular dependency.

Based on documented features, setup and access terms. How we rate

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The main score switches to user ratings after 5 published reviews.

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Frequently asked questions about Airavat

Do paper pods need my trading funds?

No. They use simulated capital.

How do filters and pods differ?

A filter selects events; a pod alerts or simulates an action.

Can I trade manually in paper mode?

Yes. Paper Discretionary pods do not need a filter.

Why can an active trader have no score?

A slice needs 20 closed positions for Trader Score; recent fills do not establish enough observations.

Are metrics as fresh as Last activity?

No. Last activity updates faster. The slicing guide describes roughly daily refreshes for active traders and a separate batch catch-up process.