Delphi develops models to filter, track and construct structured data and models (indices, AICI, DCAI) to make decisions on the movement of price of commodity futures and crypto assets.
Our machine learning models are applied to carefully selected discretionary and various data sources to improve predictability.
Delphi Analytics is a technology company that utilizes a variety of data analytics, models and machine learning to generate algorithms to increase predictability and outcomes in trading and corporate financial risk management.
Delphi constructs proprietary algorithms and indices (termed AiCi’s = Artificial Intelligence Confidence Indices) as well as develops AiCi’s for specific/custom use.
Delphi partners with asset managers and users (of commodities and other tradeable assets) to create AiCi's for a number of securities and groups of securities. We also partner with companies that seek out automation of corporate financial risk; commodity exposure (inputs), currency exposure (purchasing or customer) and investment exposure.
Delphi enables users and investors to make better decisions based on analyzing and predicting data that affects price movement.
We are currently utilizing models for our own proprietary trading and risk management while building AiCi's and models for traders and users related to futures prices.
We call our models AiCi, which stands for "Artificial Intelligence Confidence Index" for each price/security modeled.
While we are constructing our own models for specific securities and new benchmarks, you can work with us to create your own model(s) (AiCi) using the power of data, AI and machine learning.
Often, when attempting to access your mountain of data, you may not even be asking the right questions to allow the data to tell you the "correct" answer. Let us help you find "The Answer".
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