Polarity Features

Market State Analytics

Polarity provides detailed representations of market state across time:

• Probability curves with adjustable temporal resolution

• Volume and liquidity distribution across outcomes

• Detection of rapid inflection points and stabilization periods

• Visualization of uncertainty persistence

These analytics are descriptive and historical in nature, allowing users to study how markets change rather than what they should do.

Historical & Longitudinal Analysis

Unlike execution-focused interfaces that prioritize real-time snapshots, Polarity emphasizes historical depth:

• Full market lifecycle reconstruction from creation to resolution

• Comparative analysis across similar market categories

• Identification of recurring structural patterns

• Post-resolution behavior analysis

This enables users to examine belief dynamics over extended time horizons and across multiple events.

Cross-Market Comparison Framework

Polarity introduces standardized schemas that allow markets to be compared even when underlying events differ:

• Normalized probability volatility metrics

• Relative participation intensity indicators

• Liquidity concentration mapping

• Event-type clustering

This framework supports macro-level research and system-wide observation rather than isolated market tracking.

Event-Aligned Timeline Mapping

Markets are contextualized through event timelines that align probability movements with known milestones:

• News releases or public disclosures (where applicable)

• Market creation, suspension, or resolution events

• Structural changes in liquidity availability

The goal is to reduce interpretive ambiguity by anchoring numerical changes to observable events without asserting causality.

AI-Assisted Interpretation & Summarization

The AI layer operates as an interpretive interface between complex datasets and human understanding.

Capabilities include:

• Natural-language summaries of market evolution over selected periods

• Descriptive explanations of probability shifts and volatility changes

• Highlighting atypical or statistically unusual behavior

Constraints:

• No outcome prediction or future probability estimation

• No recommendations or advice

• Outputs remain explanatory, contextual, and probabilistic

AI-generated content is intended to complement analytical tools, not replace user judgment.

Programmatic Access & Developer Interfaces

Polarity exposes analytics through structured APIs, enabling:

• External research tooling

• Educational applications

• Visualization extensions

• Dataset export for independent analysis

API access levels may be gated by protocol-defined criteria without restricting baseline read-only analytics.