Top Stocks to Buy Based on Genetic Algorithm: Up to 148.33% in 3 Months

Package Name: Top 10 Aggressive Stock
Recommended Positions: Long
Forecast Length: 3 Months (3/23/2015 - 6/23/2015)
I Know First Average: 32.93%

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Top Stocks to buy Based on Genetic Algorithm

Stock Valuation Based on I Know First Algorithm: Up to 32.24% (Short) In 1 Month

Package Name: Small Cap Stocks
Recommended Positions: Long and Short
Forecast Length: 1 Month (5/31/2015 - 07/01/2015) I Know First Average: 3.72% (Long) & 11.58% (Short)

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Long Term Stocks Based on Artificial Intelligence: Up to 52.60% (Long) and 60.16% (Short) Returns in 1 Year

Package Name: Risk-Conscious
Recommended Positions: Long and Short
24 07 2013 10 48 51 Best Investments Based on Algorithms: 8.19% Gain in 14 DaysForecast Length: 1 Year (07/01/2014 - 07/01/2015)
I Know First Average: 26.44% (Long) & 16.70% (Short)

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long term stocks

Stock Market Forecast: Chaos Theory Revealing How the Market Works

I Know First Research | May 8th 2014

How Can We Predict the Financial Markets by Using Algorithms? Common fallacies about markets claim markets are unpredictable. However, chaos theory together with powerful algorithms proves such statements are wrong. Markets are chaotic systems with complex dynamics, yet to a certain extent we can make valid stock market forecasts. Using these forecasts generated by cutting-edge predictive algorithms together with a careful risk management strategy may give a trader a significant competitive advantage.

Markets Are Complex Systems

Looking at the common fallacies about stock markets, we can see two major groups. The first group is connected to the classical economic theory, which claims that markets are 100% efficient, and as such unpredictable. However, trying to make predictions regarding the markets is useless anyway, as no stock can be possibly be a better deal than another. Both of them are efficient and everybody in the market has perfect information available to them. From our daily lives it is obvious that this does not truly reflect reality. There are people who actually profit trading stocks, which should not be possible in this idealistic market of economy theories.

Top Biotech Stocks Based on Algorithms: Up To 12.23% Return In 1 Month

Package Name: Industry Package - Biotech Stocks
Recommended Positions: Long
Forecast Length: 1 Month (05/31/15 – 06/30/15)
I Know First Average: 4.37%

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 Top Biotech Stocks

Bank Stock Predictions: Up To 18.56% in 3 Months

Package Name: Bank Stocks
Forecast Length: 3 Months (04/01/15 – 07/01/15)
I Know First Average: 9.00%

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bank stock predictions

The “Big Data” Solution For Wall Street

While the financial markets are very intricate systems, determining the best components of a successful portfolio does not have to be. Investors are familiar with the saying, “buy low, sell high” but this does not provide enough context to make proper investment decisions. Every investors dream is prior knowledge of the direction of the market before it happens. Although this is incredibly difficult to do accurately and consistently, it is now possible to create financial market forecasts with algorithms. The quickly growing trend of financial advisors utilizing advanced algorithms, is part of a much larger trend of our entire society using “Big Data” solutions for a diversified pool of needs, including predicting credit risk, demand for goods and services, querying social networks to gage market sentiment, machine readable format company reports, discounts and advertising targeting as well as many more applications. In fact, the Chinese government and IBM (IBM) have teamed up utilizing Big Data to finally tackle the far-east nation’s austere pollution problem.

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By incorporating popular types of convergence averages and moving averages that have been traditionally used to forecast assets for many years with more sophisticated technology and genetic algorithms, professionals are now capable of building complex and intelligent algorithms that can make these predictions more accurate and efficient. Even when financial bubbles and market corrections lurk, a proper understanding of how the markets function plus a vigilant risk management strategy has always been necessary to survive in the financial wilderness. However, investors today have the option to take advantage of state-of-the-art algorithms in conjunction with traditional forms of analysis in order to enhance portfolio performance, verify their own analysis and respond to opportunities faster.

This overview is intended to further divulge this mysticism surrounding Big Data analytics and provide insights about the potential return on investment analytics can enable for those who embrace these capabilities. Financial professionals that step ahead of the curve today with avant-garde strategies such as these will be the definitive beneficiaries of predictive analytics, leading Wall Street with a much more proactive and cost-effective approach of algorithmic trading.