Algo – algorithmic trading | Algorithmic trading

Mathematics takes investment decisions here.

Rule-based investing – fast, quantitative, reliable and inexpensive

Fund results (since 2013-01)
  • Returns 42.45%
  • Returns of the last 12 months 10.58%
  • Positive months 74.58%
  • Annual volatility 7.20%
  • Sharpe 1.04
Fund specifics
  • Target annual returns 15%
  • Fund stop loss -15%
  • High liquidity
  • Dynamic and extensive diversification
  • Excellent results during crisis (2008)
  • No correlation to other asset classes
Automatic trading
  • ∼ 300 algorithms portfolio (trading systems and instruments combination) trades live
  • ∼ 120 futures contracts per day (∼ 400 trades)
  • Multi–asset trading strategies trade ∼ 42 most liquid futures in largest futures exchanges
  • 11 different trading systems
  • More than 6000 algorithms library

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The latest news

Algorithmic Trading Portfolio correlation with other funds equals to zero

It goes without saying that investors seek to make a positive return on their investment portfolios. Each investor forms investment portfolio very individually. Some rely more on investment rules, other less so. Either way, most investors rely on correlation as it plays a significant role in investment management. One of our potential customers asked to see how Algorithmic Trading Portfolio compares to other systematic – algorithmic funds based on returns correlation. We have decided to share a few graphs with you.

Graphs clearly show that large algorithmic funds are more likely to have correlated returns with each other than smaller ones. Typically, it is caused by liquidity problem. A smaller algorithmic fund is more flexible and can exploit wider range of trading strategies than a large one. Take for example Winton Capital Management algorithmic fund which manages 12.3 billion dollars of assets. It is hard to imagine how such a large fund would trade at night session when liquidity decreases considerably. It would also be difficult for a such fund to trade in higher frequencies. Therefore, large funds usually try to catch larger market trends and hold investments longer. This leads to similar and more correlated returns of large funds.

Meanwhile, small funds which manages from a few to tens of millions can trade in high frequency, at night time and trade less liquid financial instruments. Small funds are much less likely to correlate both with small and large funds. Thus, such funds are more suitable for the investment portfolio.

It is vital to perceive that financial markets are becoming more global than ever. They become highly dependent on each other, so if one falls, then usually so does the others. Consequently, it becomes increasingly difficult to find investments which would have a low correlation with other investments. Our advice to any investor is simple – make a wider diversification by mixing a variety of investments with as low correlation to each other as possible. Then the risk will be low.

Why do people stay away from investment?

I always observe conversations about investment. Lately, I have noticed that many people avoid investment. For example, the Danes, who have even had a negative deposit rate for a long time, still deposit lots of money into their bank accounts and do not invest. Recently, they have beaten their bank account deposits record. A similar situation is going on here in Lithuania. I have tried to analyse the reasons why. One of the main reasons is risk. It turns out that people tend to evaluate risk in terms of fear. Some fears are reasonable and widely analysed; others, unexpected.

The most popular fears are market distrust and fear of financial crisis. Both the local and worldwide media are full of negative information which increases doubts for investment – the financial crisis of 2007-2008, the Euro crisis, Brexit, China’s economic slowdown, mistrust in US President D. Trump, and many more. Most people see only losses in crisis. Fewer have better insight and see possibilities of earnings.

Another common fear arises from lack of knowledge. It is natural that a person be afraid of something that he or she does not understand. However, it is not a necessity to be an expert to invest somewhere. It is important to observe that there is a wide range of choices of investments and to choose the one which fits your priorities the best. Nowadays, investments are not limited to real estate, bonds, stocks, and gold. One could invest to fund of funds, hedge funds, funds which are based on algorithms, start-ups, technologies, or exotic investments; for example, wine, plants, art, etc. Investment choices meet every taste. None of the types of investment are best or worst – they all have their advantages. I believe it is important to ask yourself, ‘What is the most appropriate way for a person like me to invest?’ and then gain some understanding in that area. The key is to be consistent, not to change investment types after your first unfortunate moments, and to constantly expand your knowledge.

Another fear is the fear of being deceived by professional consultants. Therefore, some people tend to invest only on their own. If they fail, then they tend not to invest anymore in any field. After this, they sometimes blather on about how risky and unrewarding investments in general are and how it is best to avoid them. In doing so, they increase the fear even more. Stories of failure are usually more dramatic than success stories; hence, failure is widely covered in the media.

An interesting fear appears to be the fear of embarrassing yourself when a professional consultant or investor discovers that you lack knowledge in investment. In such cases I would ask why it is so scary to show that you do not understand something. However, this matter should perhaps be dealt with a therapist or psychologist.

There is also the fear of doing anything else other than one’s profession. Some people tend to avoid areas in which they do not work and in which they are not professionals. They choose to keep cash or deposit money in the bank because they feel more secure that way. However, as I have already mentioned above, it is not a necessity to be an expert. You do not have to be a professional investor to choose the right fund, or the right consultant, or the right investment area.

The fear of the liquidity and of the volatility is common in many investment areas. For example, people are discouraged to invest in real estate because of illiquid, long-term investment, especially if the investor is not sure if he or she might need the invested money in the near future. Contrarily, investments with very high liquidity, for example, the stock market, tend to be very volatile, so people are also repelled by the idea that they might lose a significant share of their investment in a few days.

For those who are still willing to or who have already invested, I suggest taking into account three key indicators before any investment: return, risk, and liquidity. It is essential to observe the interconnections between all these indicators rather than to focus on one of them. The Sharpe ratio (return divided from risk) shows the real benefit of investment. High risk is not bad if high return is expected, and, on the contrary, low return is not bad if it comes with very low risk. Liquidity is also a certain risk which must be considered while measuring the total risk of investment.

The money deposited in the bank account inevitably depreciates; therefore, one should overcome the fear of risk and take a closer look at the very wide range of investment possibilities. Evaluate the return and risk ratio and try to invest by yourself, trust an investment advisor/fund, or do both.

Confidence in algorithms grow as we begin to understand them

Before setting up an algorithmic investment fund I realized two things: one, it will take time to attract investors, and two, my role as a fund manager will have to be expanded to teaching. Nowadays algorithms are applied in various areas – human resource management, marketing, sales, education, customer service, finance, and many other. Everyone, who applies algorithms to make decisions or solutions raises a question – can I trust algorithm completely? My answer is that it depends on your understanding of what algorithms are capable of and where their ability ends.

The key is to understand and correctly identify questions and tasks that can be answered or solved by the algorithms as well as to comprehend what algorithms cannot do. Often algorithms are mistakenly regarded as human beings, users expect them to be exactly as human beings who do certain tasks. It is forgotten that algorithms do precisely what it was designed to do and finds solution only to exactly defined task. It does not interpret. It is not a human, who is influenced by many both internal and external factors.

When applying algorithms, a considerable threat is human desire to rely on their own judgment rather than algorithm at critical moment. Most often this happens when a person decides that the algorithm is not perfect. Of course it’s true. They are not flawless, however they perfectly and precisely do what they were designed to do. So when the task is specific and carefully specified they should be trusted without any interference to decision or solution.

What should be done? My suggestion is to have an interest in algorithms, to learn to know and trust them. Only it seems that trust is a difficult task.

In scientific study “Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them”, which was also presented at the Harvard Business Review magazine, the researchers conducted a study which examined three cases: when people ignore algorithms opportunities and rely solely on their own solutions, when people marginally adjust algorithms results based on their own knowledge, and then people only rely on algorithms. The results were the best, when there was no human intervention, slightly lower in case of marginal intervention and worst when algorithms were not used at all. However, people felt more satisfied and more secure when they had some influence on results. The study concluded that it is better to give people the opportunity to make some little contribution to final result or solution rather than use only algorithm, as it does not impair results drastically, but people feel better.

Robots will come to manage your investment portfolios

Published on: 23-11-2016 Author: Justinas Gapšys Source:

Artificial intelligence is coming to personal finances. If the automated management of investment portfolios will be widely recognized in the global market of financial services, then personal investment management services could become accessible to small investors and not just customers with multimillion portfolios.

Investment portfolio management advice is offered to investors online or on mobile platforms. Bank or investment management company specialists do not participate in consultations – the investment portfolio management recommendations or advice are created by algorithms. Investors requesting such types of services only have to enter the parameters that reflect their level of risk tolerance. The algorithms offer investment portfolios tailored specifically for them, with proportions of different property classes, and continuously offer advice on the reallocation of the portfolio.

Robots advisers are not much different from the software that has long been used by investment management professionals, instead, they replace the current army of financial consultants and bank financial product sellers serving the wider community of small customers.

Market research analysis has shown that the market acceptance stage of automated portfolio management and its advisory service is only at its initial stage. However, these services are expected to be highly successful, and will contribute towards building the market, as was the case in exchange traded funds (ETF). Incidentally, it is assumed that they gave rise to automated investment management advice.

Robot portfolio managers have already made their first steps in the United States. AT Kearney estimates that this year, the assets in the US market from the planned 300 billion USD portfolios supervised by robots will rise to 2.2 trillion USD by 2020, or up to about 5.6% of the total invested assets. The research firm predicts that the automated portfolio management service will grow profoundly in the US over the next 3–5 years.

(Chart) Predicted share of US assets invested using robotic services, %

Deloitte estimates that the portfolios managed by robots will control over 16 trillion USD in assets by 2025, or approximately three times more than is currently managed by BlackRock, the largest investment management company in terms of assets under management.

Being aware of the forthcoming changes and the need to adapt to them, major participants in the investment management market have already invested in automated investment management services, and, according to Accenture Research, it is expected that these services will be offered by them in this year or the next.

Back in 2013, Goldman Sachs invested in the start-up Motif, which forms equity portfolios based on various investment ideas and sells them to investors on an online platform.

Vanguard has already invested in the robotic advisor market by launching their Vanguard Personal Advisor Services. No consultation fees are charged when using the Charles Schwab Intelligent Portfolios service of the Charles Schwab investment company. You can use its online adviser robots if you have at least 5,000 USD of investments. Both companies are currently the largest players in the market of robot advisers – the amount of assets controlled from this service amounted to 41 billion USD and 8.2 billion USD respectively in the middle of the year.

Another major participant in the US investment sector, Fidelity Investments, also launched an automated consultation service in late July. A week ago, it was reported that the Wells Fargo Advisors investment management unit of one of the biggest US banks, Wells Fargo, will launch a pilot program, where the bank investment advisors will use robots to service smaller retail customers and those who prefer digitalised services. Investment banks targets the younger generation with this service.

Robot advisers have not only spread throughout the United States. The biggest such players in Europe are MoneyFarm,  company based in Italy and the United Kingdom, Nutmeg from the United Kingdom, and the French version, Yomoni.

Projected growth of automated investment management services in Europe and the United States, million consumers (Chart).


As explained by enthusiasts in this field, robot advisors provide a cheap but sophisticated investment management and advisory service, therefore, investment portfolio management services will become available to the general public, which is not of interest to private banking departments who work with clients whose investment portfolios amount to a few hundred thousand euro.

Andrejus Cyba, business development manager of INVL Asset Management, said that the company sees this direction as potentially viable, because it expands the capabilities and availability of financial services.

“The personalized financial asset management service enables financial service providers to advise people for whom it was hardly accessible so far, for example, on investing a few thousand euro”, explains Mr. Cyba. “This is because this type of customer approach enables the provision of services at significantly lower costs, and therefore, customers can expect the attractive pricing of products and services.”

According to him, automation of services can also cause the tighter supervision of financial advice, which increases the cost of such services.

When assessing the opportunities for the automated advisory service to appear in Lithuania, Mr. Cyba said that people here prefer consultations through direct communication with advisors.

“Here, the popularity of investment services is still very low”, says Mr. Cyba. “In Lithuania, those models should combine the automation of customer data and proposed solutions with opportunities to discuss them directly with the customer, or through an alternative method of remote interaction.”

Robot advisers, as predicted, will have a significant impact on the investment management market: more funds should come to financial markets by employing the money of those small investors who are not currently served by private banks because of the high required starting assets. Cheap robots also may force market participants to reduce the prices of financial services. This leads to the eternal question here – will the investment managers justify the salaries paid for them?

“The idea is that advisors do not provide better results than the automated advisory system. Meanwhile, automated adviser is cheaper. However, a large amount of people need the psychological, human factor, which is not available from the automated advisors”, says Dr. Aistis Raudys, the manager of the Algorithmic Trading Portfolio fund. “This will be more attractive to small investors who do not have much money.”

He admits that automated portfolio management and advisory systems will not be able to replace financial advisors completely.

The human position

The possibility for the small investor community to have full-fledged investment management is another opportunity for banks, since it is likely that the robotic advisory platforms created by banks will be geared to sell their own financial products, rather than offering the most appropriate solutions in the global financial markets.

“Now, banking advisors advise investing in bank products for the benefit of the bank itself. I do not know how much of the advice is objective when they offer investors to buy their own products. The adviser (automated, VZ) can also be programmed in such a way that it advises the products for which it receives a commission for advisor”, says Mr. Raudys. “Everything will depend on how they will design the automated advisor and what products it will advise to you.”

Finance professionals agree that robots advisors will not replace peoples completely. First of all, robots – at least so far – cannot provide the services that are associated with highly individual personal financial solutions, such as tax, cash flow, retirement planning, and investment advice on real estate.

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