Filters
Filters are the primary tool users rely on to reduce noise inside the Markets View.
Prediction markets generate a large number of questions at any given time, many of which are inactive, illiquid, or irrelevant to a specific strategy. Filters allow users to narrow the market list to a manageable and meaningful subset.
Filters in PredicTools are designed to be fast, flexible, and transparent.
Why Filters Matter
Without filtering, users are forced to manually scan dozens or hundreds of markets.
This approach:
wastes time
increases cognitive load
makes it easy to miss important activity
Filters exist to remove friction and help users focus only on markets that meet their criteria.
PredicTools does not rank or recommend markets. Filters simply apply user-defined rules to the available data.
Volume Filters
Volume is one of the most important indicators in prediction markets.
PredicTools allows users to filter markets based on:
total volume
recent volume changes
minimum activity thresholds
These filters help users avoid markets with low participation and focus on those where information is actively being expressed through trading activity.
High volume does not imply correctness, but it does imply engagement.
Liquidity Filters
Liquidity affects how easily positions can be entered or exited.
Markets with low liquidity often:
have wider spreads
react slowly to new information
carry higher execution risk
Liquidity filters allow users to exclude markets that do not meet their minimum requirements, improving practical usability.
Probability-Based Filters
PredicTools supports filtering by probability ranges and probability movement.
Users can:
isolate markets within specific probability bands
identify markets approaching key thresholds
observe rapid shifts in market consensus
This is particularly useful for tracking late-stage repricing or sudden information events.
Time-Based Filters
Time is a critical variable in prediction markets.
PredicTools allows users to filter markets by:
time remaining until resolution
short-term versus long-term horizons
This helps align market selection with strategy, risk tolerance, and capital availability.
Category and Topic Filters
Markets can be grouped and filtered by category or topic where applicable.
This allows users to:
focus on specific domains (politics, crypto, macro, events)
avoid unrelated market types
maintain consistent analytical context
Category filters are designed to support focus, not exploration.
Combining Filters
Filters in PredicTools are designed to work together.
Users can combine multiple filters simultaneously to create highly specific market views. For example:
high volume
short time horizon
recent probability movement
This composability allows users to quickly surface markets that match their current intent.
Real Time Application
Filters are applied instantly.
As market data updates, filtered views update automatically. There is no need to reapply filters or refresh the page.
This allows users to experiment, adjust criteria, and respond to changing conditions without interruption.
Design Principles
The filtering system follows a few key principles:
no hidden logic
no algorithmic recommendations
no prioritization outside user control
Filters do exactly what they say and nothing more.
Using Filters Effectively
Filters are most effective when used deliberately.
Rather than constantly changing criteria, many users develop a small set of preferred filter configurations and return to them regularly. This creates consistency and reduces reactive behavior.
PredicTools supports this style of disciplined use.
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