Quant Hedge Fund: Why Hedge Funds Should Adapt AI Technology To Continue

April 15, 2018

The article was written by David Shabotinsky, a Financial Analyst at I Know First, and enrolled at an undergraduate Finance program at the Interdisciplinary Center, Herzliya.

Quant Hedge Fund

“The punches you miss are the ones that wear you out”. —Boxing trainer Angelo Dundee -The Intelligent Investor, by Benjamin Graham. Active Investors have over the past years been experiencing large losses, as a result of volatile markets and recent market bubbles. The losses result in human error, that greatly hurts returns. This article will explain how hedge funds and investors alike, should begin to utilize machine-learning AI algorithms in their trading strategies. Summary:

Background of Hedge Funds and their role in the market
Hedge fund and investor issues and how it affects the financial world today
Development of AI based algorithms and their advantages
I Know First Algorithm’s competitive advantages and usage in the market

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What If Scenarios Introduced By I Know First’s Algorithm

April 15, 2018

What If Scenarios

What Is the “What If Scenario” of I Know First?

Our latest forecasting product is the “What If Scenarios”, a tool to simulate different market conditions. These scenarios are based on our current forecasting algorithms and endeavor to see beyond tomorrow’s actions of major market players. They provide macroeconomic perspectives to monetary policies and market fluctuations. Read The Full Forecast

Algorithmic Articles Premium

Stock Market Predictions: Where In The Feedback Loop Is Your Portfolio?

April 8, 2018

Summary

Why you can beat the market, even when it does not seem so.
The importance of loops, patterns, and predictable events.
Random events are don’t measure risks, and should not affect your decision making.

Some traders follow the trend, and some go against it. At IKnowFirst we work on algorithmic strategies which are neither, we simply try an asses where the next opportunity is. If this means to do what everyone else does, than why not. If it means going against when everyone else does, this is also fine. The tricky part is determining where this opportunities are, this article will discuss how to find opportunities in what can seem as total randomness.

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Algorithmic Articles

Stock Market Forecast: Chaos Theory Revealing How the Market Works

March 25, 2018

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.

Algorithmic Articles Algorithmic Performance

Stock Market Prediction Using Artificial Neural Networks

Summary:

Artificial Neural Networks
General Applications
Different Types of ANNs
- Feed-Forward ANNs
- RBF Neural Networks
- MLP Neural Networks
- RNNs
Neural Networks and Finance