🧠Institutional Grade Data Feed

The backbone to Eagle AI Labs is an institutional-grade digital asset data feed that allows the Eagle AI algorithm to identify potential digital asset trading opportunities to be used by to the Telegram Notification Bot (and future web dashboard)

Our digital asset data feed we receive is provided by CCData, we now use an industry grade data feed that is the global standard for digital asset data and indices

They are industry leaders in their field and also supply data to several institutions for professional regulated use, including the London Stock Exchange Group (LSEG), which powers some of the world’s leading financial markets.

Institutional Grade?

An institutional grade data feed in traditional finance (TradFi) refers to high-quality, real-time data streams that provide comprehensive and accurate financial information to institutional investors and other market participants. These data feeds are essential for making informed trading and investment decisions.

Some key characteristics and components of an institutional grade data feed:

1. Real-Time Data: Provides up-to-the-second information on market prices and other financial metrics.

2. High Accuracy and Reliability: Ensures data integrity and minimal latency, which is critical for high-frequency trading and other time-sensitive financial activities.

3. Historical Data: Provides historical price and volume data for backtesting and analysis.

4. Advanced Analytics: Includes tools and services for data analysis, such as real-time analytics, charting, and visualization.

5. Regulatory Compliance: Meets regulatory standards and requirements for data reporting and transparency.

6. Customization and Integration: Allows for customizable data feeds tailored to the specific needs of the institution and can be integrated with various trading platforms and algorithms.

7. Secure and Resilient: Ensures data security and has redundancy measures to prevent data loss or service interruptions.

In short this means that we get quality data into the project allowing us to add our artifical intelligence model to a best in class data feed to accurately make Dependable Forward Price Signals (future price predictions) for the top digital assets.