Identifies suspicious market moves by cross-referencing trading data with global media reports.
npx skills add https://github.com/aaronjmars/aeon --skill pm-manipulation
Please help me install this Agent Skill. Skill: PM Manipulation Source: https://github.com/aaronjmars/aeon/tree/main/skills/pm-manipulation Command: npx skills add https://github.com/aaronjmars/aeon --skill pm-manipulation
It reduces the risk of trading on coordinated, anomalous prediction-market activity by detecting unusual price/volume/comment behavior and validating it against multilingual local-press coverage.
Run the PM Manipulation skill to scan the last 3 days of active prediction markets and produce a scored report with links and multilingual coverage notes for suspicious candidates.
High-intent search queries and answers about installing and using this skill.
Prediction market manipulation is detected by correlating 3-day price, volume, and comment anomalies with multilingual local-press coverage. This approach flags coordinated activity by validating unusual market behavior against regional news asymmetry and non-press signals like Telegram or Reddit.
Anomaly scoring in prediction markets uses a 0–5 rubric to quantify suspicion levels based on concentrated price moves, volume spikes, whale concentration, and coordinated comment patterns. It emphasizes suspected manipulation rather than absolute proof to triage high-confidence watchlists.
To monitor prediction markets for early signals, scan localized regional press and non-press channels like Telegram, X, and Reddit. Cross-referencing these multilingual sources against market price action identifies news asymmetry where local coverage precedes English reporting.
Yes, you need platform-configurable API access for market, event, and comment data to run manipulation detection. The system uses WebSearch and WebFetch fallbacks for resilient multilingual evidence collection when direct API data is unavailable.
Yes, multilingual research identifies coordinated comment patterns in political prediction markets by sweeping local press and social media. It correlates 3-day comment anomalies with price action to detect suspicious, coordinated activity in resolution-sensitive markets like elections and regulatory disputes.
The limitation of anomaly scoring for prediction market manipulation detection is that it produces suspected or consistent patterns rather than definitive proof. It relies on 3-day historical windows and requires resilient WebSearch fallbacks when multilingual local sources are missing.
obulaiSearch and enrich company, employee, and job data via API endpoints.
aaronjmarsTrack daily CoinGecko prices and volumes, flag anomalies, and write dated markdown reports.
DaddyElonMusk69Extract real-time financial sentiment signals from social media platforms.
swarm-ai-researchScore prediction market manipulation signals from price/volume anomalies and multilingual press coverage.
