Azaries® Uniqueness

Azaries Spark uses an exclusive implementation of Inductive Logic Programming to deliver highly accurate, explainable AI results using small datasets.

What Is Unique with Azaries SPARK?

Delivering highly accurate, explainable results

Plain English Explainability: The statistics accuracy, rules and results are presented in plain English form that are easily understood by humans.

Prediction Accuracy: Inductive Logic Programming is a mathematical method that is not implemented elsewhere and Azaries have exclusive access to a software implementation – more accurate results, less time, less cost.

Small Data Requirement: A small dataset is all that is required to generate rules and results; the elapsed time to process is substantially less than other AI engines as well as the energy consumption.

Ease of Engagement: The input to the application is data that already exists within the companies and organisations which is uploaded into the Azaries Spark application; computer programming knowledge is not required – time to engage is fast and does not require specialist technical skill.

Knowledge Expert Customisation: The application generates its own background knowledge data to generate the rules; these can be modified by knowledge experts if required.

Optimised for Financial Markets

Azaries Design Criteria for Financial Markets

The design criteria originally set out to specify an Algorithmic system for investment professionals means producing high return on capital while minimising risk.

10 criteria were identified:

1. A steady equity curve with controlled risk.

2. Low-risk exposure, circa an average of less than 5% overall. This means no reliance on high-risk techniques such as ‘averaging in’ positions and no large drawdowns.

3. Zero reliance on large monthly returns or weeks that offsets all others, no individual large stock gains in a day or bias from the ‘lucky’ price moves and no variable position sizing, all positions equally sized.

4. On-going A.I. based algorithm discovery and monitoring managing a stable of around 28 computations.

5. Designed for professional capital sizing. Position sized to allow 30 concurrent positions of equal size.

6. Identifies trades both long and short with optimal 'portfolios spinning'.

7. Produces profits under any market conditions.

8. Targets 30% per annum returns on capital.

9. Trade symbols that are highly liquid with a minimum volume of 500k shares traded per day, a $10b market cap, usually higher and a list of stocks focussed on NYSE and NASDAQ.

10. A whole algorithm that selects and then manages all positions including multiple trades adjusted in real-time and can be easily linked to automatic trading systems.

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