Deep learning for
asset allocation

Solution details

Portfolio strategy
Portfolio balancing and trading signals generation

For investors, having a well balanced portfolio is a priority. Because different types of assets behave in different ways depending on market conditions, it's important to have a clear strategy in mind when choosing the assets one wants to invest on.

Asset allocation is the practice of mixing non-correlated assets to find a balance to minimize portfolio risks and increase returns, keeping in mind the individual’s goals.

Among investors, the consensus is that a good asset allocation strategy is a necessity if one wants to be successful in the market, but it isn’t easy to achieve. Different assets have different instability factors, and it can be difficult to find the perfect strategy for the individual - especially because there are other things to take into account besides the assets themselves, such as the risk tolerance of the investor.

Deep learning algorithms can be employed to create asset allocation models that are able to adapt to different market conditions over time.

Axyon's approach:

Powered by a highly-accurate deep learning predictive model, Axyon’s solution uses financial and news data to gather insights over stocks and assets behavior and uses them to generate accurate behaviour predictions.

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