Outperform S&P 500 in 30 days using AI and Big Data
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Danel Capital started on March 2016 with the mission to democratize the use of AI & Big Data for equity investment decisions. We started testing our models in April 2017 with an investment vehicle, and finally launched 2 funds on January 2020. We are now also able to offer our technology to make equity investment decisions, Danel AI Score, for S&P 500 companies.
Danel AI Score relies on advanced Big Data and Machine Learning methodologies to order and analyze all the available market information that impacts the price of S&P 500 companies. More than 900 data points and more than 10,000 indicators are analyzed every day per company. We currently support 600 technical, 150 fundamental and 150 sentiment data points per company per day. Each company is given a daily predictive equity rating score, the global Danel AI Smart Score, ranging from 1 to 10, according to its probability of outperforming the market in 30 days.
Danel AI Score is a daily predictive equity rating score for S&P 500 companies based on Machine Learning and Big Data covering 900 data points/day per company (technical, sentiment and fundamentals).
Scores range from 1 to 10, the higher the score the higher the probability to outperform the market.
We also offer daily scores for Fundamentals, Technicals and Sentiment indicators.
Daily data available since 1st March 2017.
Predictive capacity back tested.
Danel Capital has not published pricing information for their data services. This is common practice for data vendors and providers. Contact Danel Capital to obtain current pricing.
Outperform the market in 30 days by creating portfolios with companies with the highest Danel AI Score possible.
- Predictive alpha proven
- Simple score (Smart Score) from 1 to 10 that take into account almost all available information about stocks
- Specific score for Fundamentals, Sentiment and Technical indicators also available
- More than 900 data points/day per company analyzed
- Includes 150 sentiment data points/day per company
- Daily data available since 1st March 2017