IndexMath

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IndexMath Data Products: APIs & Datasets

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Our prediction accuracy to date is shown at IndexMath.com/results/. The IndexMath algorithm has been forward tested since 2016.
United Kingdom covered
The IndexMath algorithm, developed and refined since 2014 and forward-tested since 2016, is successfully predicting short to medium term ...
United Kingdom covered
The IndexMath algorithm, developed and refined since 2014 and forward-tested since 2016, is successfully predicting short to medium term ...
United Kingdom covered
80 months of historical data

IndexMath Pricing & Cost

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Free trial available. Contact for pricing information.

The supported pricing models for IndexMath’s data are available by getting in contact with them via Datarade. Get talking to a member of the IndexMath team to receive custom pricing options, information about data subscription fees, and quotes for IndexMath’s data offering tailored to your use case.

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About IndexMath

Learn more about IndexMath’s data sources, use cases, and integrations.

IndexMath in a Nutshell

The unique IndexMath algorithm, developed and refined since 2014, is successfully predicting trends in the UK stock market. Our pioneering, unique and invaluable insight can enhance your investment strategy and boost your returns.

If you are an institutional or retail investor and you require further information, please do not hesitate to get in touch.

Headquarter
United Kingdom

Geo Coverage

Europe (1)
United Kingdom

Data Offering

IndexMath - A data-driven algorithm exploiting recurring mathematical patterns.

The IndexMath algorithm is completely data-driven. It is based wholly on end of trading day analysis of fundamental, recurring and under-researched mathematical patterns in the share prices of the UK’s FTSE All-Share Index (FTAS).

Use Cases

Enhance your trading strategy/profit from predicting trends in the FTSE All-Share Index/FTSE 100. (See IndexMath.com for further information and an investing simulation.)

Asset Management
Asset Tracking

Data Sources & Collection

Feeding end of day data through the IndexMath algorithm results in a quantification of the probable near-future sentiment of the FTAS. From this insight, periodic signals are generated which anticipate short to medium term upward or downward trends (with an approx. length of 1 to 20 months) in the FTAS. These signals can also be used to predict similar movement in other stock market indices and investment vehicles that are closely correlated to the FTAS.

Key Differentiators

The IndexMath algorithm is based wholly on end of trading day analysis of fundamental, recurring, counterintuitive and under-researched mathematical patterns in the share prices of the UK’s FTSE All-Share Index (FTAS).

What are you looking for?

Frequently asked questions about IndexMath

What does IndexMath do?

Successfully predicting trends in the UK stock market.

How much does IndexMath cost?

The supported pricing models for IndexMath’s data are available by getting in contact with them via Datarade. Get talking to a member of the IndexMath team to receive custom pricing options, information about data subscription fees, and quotes for IndexMath’s data offering tailored to your use case.

What kind of data does IndexMath have?

B2B Contact Data

What data does IndexMath offer?

IndexMath - A data-driven algorithm exploiting recurring mathematical patterns. The IndexMath algorithm is completely data-driven. It is based wholly on end of trading day analysis of fundamental, recurring and under-researched mathematical patterns in the share prices of the UK’s FTSE All-Share Index (FTAS).

How does IndexMath collect data?

Feeding end of day data through the IndexMath algorithm results in a quantification of the probable near-future sentiment of the FTAS. From this insight, periodic signals are generated which anticipate short to medium term upward or downward trends (with an approx. length of 1 to 20 months) in the FTAS. These signals can also be used to predict similar movement in other stock market indices and investment vehicles that are closely correlated to the FTAS.

What are the best use cases for IndexMath’s data?

Enhance your trading strategy/profit from predicting trends in the FTSE All-Share Index/FTSE 100. (See IndexMath.com for further information and an investing simulation.)