CoSupport AI
What is ChatterQuant?
ChatterQuant is a sophisticated market intelligence platform that leverages artificial intelligence to analyze hundreds of millions of social media posts daily. The platform provides professional trading firms with comprehensive analytics through real-time monitoring of market trends, stock sentiment, and asset narratives.
The platform offers enterprise-grade dashboards for generating alpha, managing risk, and streamlining due diligence. It includes features such as social media monitoring, portfolio generation, custom Twitter feeds, and SEC filing tracking, along with both REST and websocket APIs for seamless data integration.
Features
- Real-Time Monitoring: 1-minute update intervals for market data
- Social Intelligence: Tracks mentions and sentiment across Twitter, Reddit, and other platforms
- Bot Activity Analysis: Identifies and filters malicious and authorized bot activity
- Smart Portfolio Generation: Customizable portfolio creation based on social signals
- Market Coverage: Monitors 23,000+ stocks, 5,000+ cryptos, 3,000+ ETFs
- Narrative Tracking: Analyzes changes in market and individual asset narratives
- Risk Management: Portfolio squeeze risk and volatility monitoring
- Historical Data: Unlimited access to historical market data
Use Cases
- Alpha generation for trading firms
- Risk management and due diligence
- Market trend analysis
- Social sentiment analysis
- Portfolio optimization
- Market manipulation detection
- Real-time market intelligence
FAQs
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What social media platforms does ChatterQuant monitor?
ChatterQuant monitors Twitter, Reddit, WallStreetBets, ShortSqueeze, and Crypto forums, with plans to expand to TikTok, YouTube, and News Outlets. -
How frequently is the data updated?
Professional plans receive data updates at 1-minute intervals. -
What types of assets are covered?
The platform covers 23,000+ stocks, 5,000+ cryptos, 3,000+ ETFs, 2,000+ Forex pairs, and 190+ indices.
Related Queries
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ChatterQuant Uptime Monitor
Average Uptime
100%
Average Response Time
94.9 ms
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