What data is needed to train an AI robot?
Successful training of an AI robot requires high-quality and diverse data. This data helps the algorithm identify patterns and adapt to different market conditions.
Main types of data:
- Market data:
- Historical quotes (open, close, high, low prices).
- Trading volumes.
- Order book data and market depth.
- Fundamental data:
- Company financial reports.
- Economic indicators (GDP, inflation, interest rates).
- Event data:
- News, press releases, and company reports.
- Impact of macroeconomic events (central bank meetings, sanctions).
- Alternative data:
- Social media and forum data.
- Sentiment analysis of texts.
High-quality data is the foundation for successful AI training and the creation of effective trading strategies.