Big Data Modeling & Analytics

NEW: Big Data in Cloud for Data Science: PHA 2.0

What will be the price of AMZN, GOOG, AAPL, and FB a year from now? How valid are the predictions? Do you need a team of quants and traders to answer these questions?
Pangu S4 Servers is the first supervised machine learning (ML) solution that automates data collection, model optimization, prediction, testing and reporting for quants, traders and CIOs — the first to automate advanced time-series modeling with population data to find the best model, and then back-test and forward-test its ML predictions and investment strategies. Contact:

Back-test reporting: automatically send daily report to chief investment officers of institutional investors; report on back-testing best investment models and asset pricing for the future (in days or years) of specific investment choice.
Sample forward test
How to sign up to receive the CIO report? Click here for Pangu S4 service

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Visual summary for SAPE4: an investment use case

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Note: Pangu Servers are software (AWS EC2-ready) and hardware servers that may power four levels of analytics (desc, content, pred, pres) on structured and unstructured data with Big Data technologies such as NLP, Apache Spark and Hadoop (e.g., Amazon EMR). Pangu Servers™ is a trademark of Yeswici LLC.

Hadoop Partners of Pangu Servers

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More use cases of Pangu servers
1. Use cloud Pangu S2 servers to uncover latent relationships from Hadoop big data with structural equation modeling (SEM): beats IBM Watson and BigInsights in investment space
2. Use Pangu S4 Servers to automate advanced time-series modeling with NASA satellite data in AWS cloud to develop and back-test optimal predictive models for pricing climate-related insurance instruments.
3. Pangu Hadoop Architect (PHA) 2.0