> For the complete documentation index, see [llms.txt](https://futur-ai.gitbook.io/futur-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://futur-ai.gitbook.io/futur-ai/content/quickstart.md).

# Methodology

### Data Sources

Futur AI agent collects data from:

1. **Social Media**: X, Reddit, Telegram, and other platforms for real-time sentiment and trend analysis.
2. **News Outlets**: High-frequency scanning of breaking news articles, editorials, and investigative reports.
3. **Market Data**: Financial reports and cryptocurrency market trends for cross-referencing predictions with economic impacts.
4. **Historical Datasets**: To train the system on patterns in past events and trends.

### Analytical Techniques

The agent employs a range of AI technologies:

1. **Natural Language Processing (NLP)**: Extracts and interprets meaning, sentiment, and intent from textual data.
2. **Sentiment Analysis**: Identifies emotional tone to gauge public reaction and predict trends.
3. **Temporal Pattern Recognition**: Recognizes recurring themes or anomalies over time.
4. **Probabilistic Forecasting**: Applies Bayesian models and Monte Carlo simulations to quantify the likelihood of future scenarios.