In this forecast evaluation report, we will examine the performance of the forecasts generated by the I Know First AI Algorithm for the S&P 500 Index with time horizons ranging from 3 days to 3 months, which were delivered daily to our clients. Our analysis covers the time period from the 1st of January 2019 to 19th of June 2019. Below, we present our key takeaways for checking hit ratios of our predictions.
Highlights:
75% Hit Ratio for 14-day time period of S&P 500 predictions allowing our clients to be able to invest their money with significant less risk
Predictions consistently above 60% accurate despite very volatile times in the world economy over the last half year
This article was written by Talia Shakhnovsky, a Financial Analyst at I Know First.
Interpreting Interpretability in Algorithmic Trading
“If a machine learning model performs well, why [don’t] we just trust the model and ignore why it made a certain decision?” – Christoph Molnar, author of Interpretable Machine Learning
Summary:
An Anecdote on Algorithmic Interpretability
What is Machine Learning?
Interpreting Interpretability
Is Interpretability Ever Insignificant?
The Importance of Algorithmic Interpretability
Algorithmic Trading: Interpretability in I Know First’s Forecasts
An Anecdote on Algorithmic Interpretability
Envision the near future. Self-driving vehicles roam the roads, and car accidents are a nightmare from the past. Society questions how people could have driven such dangerous machines they weren’t qualified to control.
Until, one day, a headline reads, “BREAKING: Bicyclist Dead in Hit-and-Run”. Shock
The article was written by Yutian Fang, a Financial Analyst at I Know First and Master of Science in Finance candidate at Brandeis International Business School
Summary
To make informed investment is always what investors are concerned about
Solutions saw their limitations and improvements as techniques developed
What Deep Learning can do -Deep Networks for Unsupervised or Generative Learning -Deep Networks for Supervised Learning -Hybrid Deep Networks
How I Know First utilized Deep Learning for investment decisions
Artificial intelligence (AI) is a branch of computer science
that aims to create intelligent machines that can think and learn for
themselves. In 1950 when computers where just starting Alan Turing was asking
the question “can machines think?” This question is still debated to
this day but there is little doubt that Turing would be incredibly impressed
with modern computing and what it has achieved in this field.
Modern AI is able to beat grand masters in chess and be used to predict financial markets. The term is still pretty loose with no real set of clear boundaries defining it but any machine that is able to think intelligently and learn is generally considered to be an Artificial Intelligent machine.
I Know First was recently cited in an article on TechgraByte.com, a leading news source for technology, gadget, artificial intelligence, and business topics. The article, which can be found here, discusses how beginners can approach the field of Artificial Intelligence and learn the skills necessary to apply it to projects. When discussing the current state of AI, the article mentions how machine learning techniques are used for searching the web, placing ads, credit scoring, and stock trading.
Source: Flickr
I Know First, and the article cited by TechgraByte, are great resources for understanding how machine learning is being used in the financial sector. The article used by TechgraByte is written by Tali Soroker, a Financial Analyst at I Know First. In it, she writes in-depth about trading in the market using machine learning, and specifically discusses chaos theory in relation to I Know First’s predictive algorithm. Chaos modeling is shown to be difficult to do with statistics alone, and machine learning is an integral part of effectively achieving good results. This technique of using artificial intelligence to complete a statistical model is something that I Know First heavily relies on when formulating its predictions for stocks, indices, commodities, currencies, and more. To learn more about I Know First, and how the algorithm works, read here.
About TechgraByte
TechgraByte is a growing site that covers innovations in the technology sector, especially concerning Artificial Intelligence and Machine Learning. It serves a source for learning fundamentals and applications of cutting-edge data and computer science methods.
I Know First, Ltd. is a financial technology company that provides daily investment forecasts based on an advanced, self-learning algorithm. Thus, the company’s algorithm predicts over 8,000 securities (and growing). Thus, it has capabilities to discover patterns in large sets of historical stock market data.
The underlying technology of the algorithm based itself on Artificial Intelligence. It also based itself on machine learning and incorporating elements of artificial neural networks and genetic algorithms. Moreover, the algorithm generates daily market predictions for stocks, commodities, ETF’s, interest rates, currencies, and world indices for the short, medium and long-term time horizons.
I Know First-Daily Market Forecast, does not provide personal investment or financial advice to individuals, or act as personal financial, legal, or institutional investment advisors, or individually advocate the purchase or sale of any security or investment or the use of any particular financial strategy. All investing, stock forecasts and investment strategies include the risk of loss for some or even all of your capital. Before pursuing any financial strategies discussed on this website, you should always consult with a licensed financial advisor.
