PM Manipulation

Score prediction market manipulation signals from price/volume anomalies and multilingual press coverage.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/swarm-ai-research/aeon --skill pm-manipulation-swarm-ai-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: PM Manipulation
Source: https://github.com/swarm-ai-research/aeon/tree/main/skills/pm-manipulation
Command: npx skills add https://github.com/swarm-ai-research/aeon --skill pm-manipulation-swarm-ai-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detect suspected manipulation on prediction markets over the past 3 days by cross-referencing price/volume anomalies with multilingual local-press coverage.

Core Features & Use Cases

  • 3-day market-scanning of active prediction markets for anomalies in price and volume.
  • Multilingual press sweep to contextualize price action and identify asymmetries.
  • Candidate scoring and alerting to flag high-suspicion markets for review.

Quick Start

Run a 3-day scan across active markets and generate a manipulation watch briefing.

Frequently Asked Questions about PM Manipulation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect manipulation in prediction markets?

Detect prediction market manipulation by scanning a 3-day window of active markets for price/volume anomalies and cross-referencing them with multilingual press signals. This approach flags concentrated moves, volume spikes, whale concentration, and narrative pushes for review.

What signals indicate whale concentration or bot bursts in prediction markets?

Whale concentration and bot bursts are manipulation signals identified by analyzing price/volume anomalies within a 3-day window. The detection process computes anomaly flags for concentrated moves and volume spikes to score suspicious market activity.

Can I use multilingual press coverage to explain prediction market price action?

Yes, you can use a multilingual press sweep to explain prediction market price action and identify narrative asymmetries. This contextualizes localized news coverage against market anomalies to detect suspected narrative pushes.

How do I scan active prediction markets for price and volume anomalies?

Scan active prediction markets for price and volume anomalies by accessing public market data APIs to gather prices and trades. The scan computes a set of anomaly flags across a 3-day window to generate a manipulation watch briefing.

What data sources do I need to monitor prediction market manipulation signals?

Monitoring prediction market manipulation signals requires access to public market data APIs for prices and trades, along with WebSearch and WebFetch tools to gather foreign-language press coverage for contextualizing market anomalies.

Does this manipulation detection approach work for short-term market analysis?

Yes, this manipulation detection approach is designed for short-term market analysis, specifically scanning a 3-day window of active prediction markets. It computes near-term anomaly flags and generates alerts for high-suspicion markets.