Robofunds

Robo investing

What is robot investing?

Robot investing, or “robo-advisory”, is a rapidly growing trend in the world of investing. The technology uses computer algorithms and AI to select and manage investments on behalf of individuals and institutions, providing a low-cost and efficient alternative to traditional investing. Robo-investing is becoming increasingly popular among investors looking for a more convenient and cost-effective way to manage their portfolios.

One of the main advantages of robo-investing is its accessibility, since it can be done entirely online, which makes it available to a broader range of investors, including those who may not have the means to work with a traditional financial adviser. In addition, the use of a set of rules and criteria that take account of factors such as the investor’s risk tolerance, time horizon and investment objectives helps eliminate the emotional biases that can lead to poor investment decisions.

Another advantage of robo-investing is the cost saving: because the process is automated, there are no human labour costs associated with it, which makes it possible to keep fees low. This makes it particularly attractive to younger investors and those with smaller portfolios.

Overall, robo-investing is a convenient and cost-effective option for many investors, particularly those who are just starting out or have smaller portfolios. It is important, however, to consider personal financial goals and preferences when deciding whether to use a robo-adviser. As always, it is a good idea to consult a financial adviser before making investment decisions.

..in robo-investing this is the use of advanced technology and big data analysis techniques to analyse very large volumes of data and take more precise investment decisions. Robo-advisers use sophisticated algorithms capable of processing and analysing large volumes of data.

A further aspect of robo-investing is the use of advanced technology and big data analysis techniques to analyse very large volumes of data and take more precise investment decisions. Robo-advisers use sophisticated algorithms capable of processing and analysing large volumes of data, which can help identify patterns and trends that may not be immediately obvious to human investors. This can give robo-advisers a significant advantage in predicting market movements and identifying profitable investment opportunities.

In addition, the use of powerful computer systems allows robo-advisers to carry out complex calculations and simulations that would be difficult or impossible for human investors to perform manually. This can help optimise portfolios and reduce risk, leading to better investment results for clients. The use of the latest technology and big data analysis techniques allows robo-advisers to stay at the forefront and to keep improving their performance over time.

Although robo-investing has many advantages, it is important to note that it may not be suitable for all investors. Robo-advisers typically offer a limited range of investment options and may not be able to deliver the level of customisation that some investors require. It is worth noting, however, that many robo-advisers now offer several customisation options, and some even provide access to human financial advisers. Moreover, while robo-advisers have access to very large volumes of data and use sophisticated algorithms, it is important to have realistic expectations of any algorithm’s ability to adapt fully to unexpected market changes.

OPenAI

Since the theme of this article was robot investing and artificial intelligence, we thought it logical to ask an AI-based chat robot to write an article on the concept.
Everything above this sentence was written by ChatGPT

And we think it did rather well. But now we humans continue:

Normally we associate the term “robot” with something physical on a production line assembling a gadget, or with the lawnmower that runs in the garden around the clock and always keeps the lawn neatly trimmed. In the investment world there are many names for the same concept: robo-advisory, robot investing, algorithmic trading and AI investing. We ourselves prefer to use algorithmic or mathematical investing for the principle, but accept that “robo” appears to be the word winning internationally. Even our company name signals an acceptance of this.

At Robofunds we use a robot-based approach from start to finish in the process of making and maintaining an investment in a security. Where this is on behalf of an investor, it all begins with drawing up a thorough investment profile, so that we know the client’s preferences, experience, lack of the same, and the client’s risk aversion precisely.

Human involvement on our side is limited to assistance with the investment profile, which can be completed online or in cooperation with us.

The typical course of a robo investment with us is as follows:

Investor profile

An investment profile must establish which investments the client should make – if any at all.

We begin by establishing experience, time horizons, risk aversion and much else. Traditionally in investing the rule is that the greater the risk one is willing to take, the greater the chance of a large return.

Our investment profile results in a calculated number from 1-100, where 1 is “keep your money in the bank rather than invest” and 100 is “invest everything in 1 high-tech share with borrowed money.” Both imagined scenarios are examples of cases in which we would not be able to help with investments.

The investment profile is dynamic, it is a legal requirement, and it must be revisited from time to time, typically every year. We do, however, know the end point, which could for example be the onset of retirement age, and we allocate and rebalance the investments automatically in accordance with it.

Investment universe

We invest in shares and have a database of 115,000 shares from around the world, where we use financial statements, key figures and historical prices that are continuously analysed using massive computing power that we rent from Amazon.

Our algorithms and the investment profile limit the number of possible candidates for entry into the portfolio, which typically ends with 300-600 possible candidates.

Design and optimality

In the example above, where the screening process limits the number of investment objects to 300-600 shares, the real algorithmic work now begins, namely calculating the optimal portfolio. We use up to 40000 computer processors (GPU) in parallel to calculate the optimal portfolio composition.

It takes anything from 1 minute to an hour – by comparison, 7 years ago it took us 5 days to carry out the equivalent calculation.

The output from the algorithm is a portfolio composition that is as optimal as we can calculate it. It will typically consist of anything from 15-50 shares and 1-2 ETFs, depending on the basic design.

Among other things, we maximise expected return while at the same time minimising risk (volatility)

Trading / execution

The optimal portfolio composition has now been calculated and the shares must be traded as efficiently as possible. We use the world’s largest broker, where we send different types of algorithmic orders to achieve the best possible average acquisition price.

Rebalancing

A portfolio is in fact only optimal on the day it is calculated. Suboptimality sets in the very next day, and the weighting of the individual shares begins to shift. By weighing all factors such as brokerage commission, expected return and risk changes, our algorithms continuously calculate how expensive it is to be suboptimal, and therefore when it is opportune to rebalance to a new optimum. We call this dynamic rebalancing; in theory this rebalancing could occur every day, but it rarely does.

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