🔢Data Feed Roadmap
Last updated
Last updated
The unique selling point (USP) of the Eagle AI project is the Data feed we receive that is then enhanced with real Artificial Intelligence (AI) using a Neural Network and a LSTM model.
This enables us to create future price signals for a range of assets including Cryptocurrency Token prices, Foreign Exchange (SpotFX) prices and Tokenized Real World Assets (RWA).
✔️ Integrate a data feed to handle Top 250 cryptocurrency tokens in order of MCap
✔️ Enhanced Data Feed - provided by CCData, we now use an industry grade data feed that is the global standard for digital asset data and indices
Foreign Exchange (SpotFX) price predictions: after witnessing the success the AI model makes in price signals for volatile cryptocurrency tokens, we have initiated an early stage Proof of Concept (PoC) feature enhancement looking at emerging market foreign exchange pairs such as Latin America (e.g Brazil, Mexico, Colombia, Chile) and Eastern Europe (e.g Hungary, Romania, Poland, Czech Republic, Serbia and Ukraine). If proven succesful this will be added to the list of features provided by the Eagle AI Research bot alongside cryptocurrency.
Tokenized Real World Assets (RWA): Assets such as Real Estate, Art and Commodities (Gold, Oil) are more frequently being tokenized and traded on the blockchain. By incorporating this data feed and applying the Eagle AI price prediction model to it we plan to provide a unique data feed that is valuable to regular retail investors, other crypto projects and institutions. Once implemented this will provide another feature aspect to the Eagle AI Research bot.
Social Sentiment Enhanced Data: Asset price is frequently impacted by social media and news sentiment. By tracking comments made on assets on the most popular social media and news outlets we can incorporate this social sentiment into the data feed price model to provide a more accurate and responsive price signal.
Note: Users should be aware that the development of new features and enhancements is subject to various risks, including technical challenges and market conditions. Investing in early-stage projects carries significant risks, and users should conduct thorough due diligence.