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Machine Learning and Financial Markets

We believe that Machine Learning (ML) algoritms are able to perform many tasks more effective than Humans. And we already see many confirmations of this brave assumption (self-driving cars, chatbots, object recognition, and so on). So we also believe that ML should do better than financial analysts with asset price predictions on financial markets to help ordinary investors in equities trading and portfolio investment. Our product is based on Deep Learning technology to predict stock prices using quarterly financial statements of companies combined with price patterns, technical analysis  and social sentiment models. As a result, we will get an online service that should lead us to more effective portfolio management to buy and sell stocks just at the right time. Eventually, we should get higher yields far above the market average.

Portfolio Investments based on ML algorithms predictions

In this section, we will publish our portfolio results on a monthly basis. Portfolio management decisions are based on proprietary ML algorithms predictions. Portfolio investments generally consist of stocks that are traded on US exchanges.

Portfolio report #6

Portfolio investment results for February 2020. Recall that our first goal is to beat the returns of the S&P500 index. The second is to get a portfolio return of 20% or more. According to the results of February 2020, we received a return on the entire active...

Portfolio report #5

Portfolio investment results for January 2020. Recall that our first goal is to beat the returns of the S&P500 index. The second is to get a portfolio return of 20% or more. According to the results of January 2020, we received a return on the entire investment...

Portfolio report #4

Portfolio December investment results. Recall that our first goal is to beat the returns of the S&P500 index. The second is to get a portfolio return of 20% or more. At the end of December 2019, we have received a holding period return of 24%, while a benchmark...

Portfolio report #3

Portfolio October and November investment results. Recall that our first goal is to beat the returns of the S&P500 index. The second is to get a portfolio return of 20% or more. At the end of November 2019, we have received a holding period return of 19%, while a...

Portfolio rebalancing #1

Based on AI expectations here we are going to make portfolio reconstitution. We will add Unum Group and Carnival Corp stocks. And just at the beginning of the month, we have made some rebalancing. Have added more shares of Robert Half International, Alliance Data...

Portfolio report #2

Portfolio September investment results. Recall that our first goal is to beat the returns of the S&P500 index. The second is to get a portfolio return of 20% or more. At the end of September 2019, we have received a return of 10.32%, while a similar investment in...

Portfolio report #1

Based on Blue Sphere prediction here we have built our first portfolio.
Our first goal is to beat the S&P500 index. The second one is to get a 20% yield or more.
You can find a list of included stocks inside.

US Stocks market and trade WAR with China

It seems that US Stocks market has absorbed newly imposed by Trump 10% tariffs on China goods. Stocks Market has quickly recovered 60% of the recent drop. A trade war between the US and China become reality and the new norm.

Invest using ML algorithm in equity market

Here we will publish our ML algoritm market predictions on a weekly basis, as well as information about our Deep Learning models development progress.

Intrinsic value measurement for GAP and Nordstrom

The purpose of this article is to analyze and evaluate the current intrinsic value of GAP and Nordstrom stocks, and then compare the results with the predictions of Blue Sphere AI, which you can find here.Both companies are from the same industry, so it will be easier...

AI expectations on stocks prices for 2019 #2

We have reached our expectations targets for AT&T and LyondellBasell Industries. As for other targets, they are still active and we will review targets for them. Also we added 2 new price expectations for Carnival Corp and Unum Group.

AI expectations on stocks prices for 2019

Below you can find some market expectations for the next 3 – 6 months period. Expectations are based on companies financial quarterly reports. Data from those reports carefully analyzed by our Blue Sphere AI algorithm and as a result we are given an expected stock price.

Blue Sphere

Happy to announce that first version 1.0 of Blue Sphere is ready. Blue Sphere is an Artificial Intelligence module that predicts stocks prices movements based on companies quarterly financial reports. We will try to make our first public predictions this week.

Two Worlds – AI and Humans

Series of articles about proto Artificial Intelligence and Human decision-making processes and behavior.

Why stocks prices do not always reflect companies real value?

If you ask yourself a question is a share price reflects company’s performance? The answer is not easy to come because to get it you have to compare simultaneously many company’s figures and parameters from financial reports together with stocks price movements.
What does Financial Statment and Value Stocks means for portfolio investor?
How to apply Portfolio investment in stocks based on artificial intelligence (AI).

Is Artificial Intelligence better than human now?

Is Artificial Intelligence better than human now? The answer is Yes and No. In tasks such as evaluating huge amounts of companies financial statements data AI is already better. In building new evaluating models for companies assessment humans are still better for now. To generalize AI is more accurate, fast and cheap in routine simple and repetitive tasks especially where you can scale up. In our case, it is predictions of equities prices based on companies financial statements, technical analysis of shares prices, and social sentiment analysis. So we can expand the use of AI in portfolio investments, stocks trading.

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Mail

team@hypersphere.pro

Address

10315, Estonia, Tallinn,
Randla tn 13-201