MarketGPT: ChatGPT stock predictions is an AI-powered tool that predicts stock movements using news items. It evaluates the news and decides how the company stock is going to be affected. The platform offers a mobile app download and provides information about model performance, risk disclosures, and legal terms. The intent is to help users make informed trading decisions based on AI-driven analysis of news coverage.
Overview
- AI model trained to predict stock movements from news items.
- Evaluates news to determine the likely impact on a company’s stock.
- Available as a mobile app and information page describing the model and performance.
- Includes risk disclosures and legal terms (privacy policy, terms of service, etc.).
How It Works
- The model ingests relevant news items related to publicly traded companies.
- It analyzes sentiment, topics, and factual content within the news to assess potential price impact.
- The model outputs stock movement predictions (e.g., up, down, neutral) for specified timeframes (e.g., 1W, 1M, 1Y).
- Users can access performance details and historical context to gauge reliability.
Note: Investing in stocks and derivatives carries risk of financial loss. Past performance is not a guarantee of future results.
Performance Details
- Performance metrics are available for different time horizons (1W, 1M, 1Y).
- The platform provides details on model performance and historical accuracy where available.
- Users are advised to consult full risk disclosures prior to trading.
Safety and Legal Considerations
- The model is a tool to assist decision-making and does not guarantee profits.
- Users should be aware of market risks and perform their own due diligence.
- See Terms of Service and Privacy Policy for data handling and user obligations.
Core Features
- AI-driven stock movement predictions based on news analysis
- Time-based prediction horizons (e.g., 1W, 1M, 1Y)
- Mobile app access for on-the-go insights
- Clear risk disclaimer and legal documentation (Terms of Service, Privacy Policy)
- Model performance details available to users
- Private and policy-compliant data handling information