DeepCyber's Products

DC Aloe Series

AIHPC: next-generation AWS cloud product to help uncover the hidden values of your big datasets with Big Data container platforms, HPC cloud clusters, AI platforms, AI cyber defense and cloud container computing.

DSS: a group of enterprise Data Science servers in the cloud to enable predictive analytics, anomaly detection, factor and conjoint analytics for data-driven decisions.

DC Celtis Series

AI Cyber: ZDAF uses AI cyber defense technology to effectively attenuate ZeroDay and DOS cyberattacks.

DC Pine Series

AI Investing: PNN automatically trains and validates deep learning models to predict trends of security prices

DC Howea Series

AI Health: PED Number app quantifies and boosts the level of your positive energy on a daily basis and predicts health to reduce insurance cost.

DC Pine Series - PNN

How to help Americans weather financial storms?

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Solve Security Trendspotting Problem

Shiller and Fama were awarded Nobel Prize in 2013 for demonstrating accurate predictions of long-term asset prices manually. PNN is the first artificial intelligence (deep learning) machine to automatically predict and visualize security price movements with very high back-test accuracy.

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Optimize Rigorous Algorithms

PNN AI machine makes sophisticated security trendspotting available to investors as PNN charts. It optimizes and compares over ten modeling methods that include neural-network sentiment algorithms and advanced financial models (e.g., GARCH, BS, SAPE and BATS algorithms). PNN and MCPS are being patented by USPTO.

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Enable Data Science SaaS in Hybrid Cloud

PNN AI machine runs on a hybrid cloud of MCPS that has built in Big Data platform as Hadoop for massively parallel processing (MPP) and linear scaling. PNN may process asset trendspotting requests within minutes for 10,000+ stocks, 1500 ETFs, and 1900 mutual funds, 24 by 7.

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Stand on Giants' Shoulders to Trendspot Securities. Optimize Rigorous Algorithms

Extending Yale Professor Shiller's Nobel work, PNN is the first AI (deep learning) machine to trendspot security prices for investors of little advanced training in quantitative modeling. PNN enables automated security trendspotting with instant and visual insights for investment, trading and financial markets.

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Trendspot Securities in High Back-test Validity. Largely Reduce Cost and Time

Many investors face challenges to trendspot securities manually. Without PNN, it takes investors weeks and over $100,000 to manually trendspot a security. With the intuitive Web interface, PNN automatically sends on-demand predictive charts to investors within minutes. The back-test accuracy of PNN charts is the highest of ten plus algorithmic modeling approaches, among them are 4 Nobel algorithms: 1. Black and Scholes on option pricing; 2. Kahneman on loss aversion; 3. Engle on GARCH volatility; 4. Shiller and Fama on asset trendspotting

Trendspot Securities in High Confidence. Automated Cross Validation.

PNN AI machine trendspots multiple relevant securities automatically to cross validate the mega trends. For example, along with high back-test validities, cross-validating SCO and UCO daily charts builds up confidence for investors in forecasting the moving directions of the oil industry.

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PNN AI machine is designed by Yeswici LLC, a private U.S. company in Maryland specializing in computerized quantitative modeling, Data Science, and cloud solutions.

PNN AI machine makes complicated trendspotting available to you as PNN charts. To purchase PNN charts, text Lucy at 7706880801 or email, Atlanta, GA, USA