Artificial Intelligence: Road to the Smart Future

Kemy Huang  This article was written by Kemy Huang – Research Analyst at I Know First

Summary:

  • Earlier times, AI had been particularly slow to develop with periodic booms in research. However over the past decade, due to the digital world transforming into the data world, the promising leaps to surpass traditional computing power, and some businesses start to make fortune from the technique. Based on those reasons lead to the AI boom
  • The innovation in the AI area shows the great potential of how powerful it could be. Nowadays, the example in AlphaGo showed the milestone of AI that it doesn't need to be constrained by the limits of human knowledge
  • The technique of Artificial intelligence can bring a fortune to the market. I Know First the promising company that could upgrade investment decisions by providing effective forecasting solutions for the investors

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The Efficiency of Hedge Fund Strategies in the Pandemic Time

Sergey Okun  This "The Efficiency of Hedge Fund Strategies in the Pandemic Time" article was written by Sergey Okun – Financial Analyst, I Know First, Ph.D. in Economics.

Summary:

  • Hedge Funds apply a wide range of investment strategies to get profit independent of market conditions
  • The fees model 2/20 is not dominant anymore in the hedge fund industry I Know First provides portfo
  • I Know First provides portfolio strateg

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The Conceptual Framework of Applying ML and AI Models to Analyze and Forecast Financial Assets

This article was written by:

Sergey Okun  Sergey Okun – Financial Analyst at I Know First, Ph.D. in Economics.


Eugen KalaidinEugene Kalaidin – Professor, Dept. of Mathematics and Computer science, The Financial University under the Government of the Russian Federation, Ph.D., D. Sci. (Habilitation) in Physics and Mathematics.

Highlights:

  • Knowledge significantly decreases the speculative risk of investment
  • ML and AI technologies allow us to get relevant knowledge about the financial market
  • Information asymmetry is a key factor in getting the arbitrage return
  • Models of nonlinear dynamic systems allow correctly to evaluate financial assets by determining the backbone behavior of assets

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Quantitative Trading: The Predictability Of Stock Markets

Tomer Solel is a Financial Analyst at I Know First. He graduated from Cal Poly Pomona with a bachelor's degree in applied mathematics.

Quantitative Trading


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Machine Learning Hedge Fund: Artificial Intelligence, Algotrading and Hedge Funds

taliTali Soroker is a Financial Analyst at I Know First.

Machine Learning Hedge Fund


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Trade Smartly in the Fractal Stock Market with Machine Learning Power

motek 1This algorithmic article was written by Yutong Li – Analyst at I Know First, Master's candidate at Brandeis University.

Highlights:

  • Although Efficient Market Hypothesis has been a dominated financial theory for years, it fails to give a sensible reason and interpretation of the financial crashes and crises that occurred
  • A more comprehensive financial theory - Fractal Market Hypothesis is capable to explain these crises and provide a clear-cut description of the financial markets
  • Fractal Market Hypothesis puts forward the idea of self-similarity and stability in the market when it consists of investors from a wide range of investment horizons
  • FMH verifies the root of technical analysis under the idea that history can repeat, and this process of pattern-finding can be efficiently attained by machine learning

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Win the Stock Market Game: Machine Learning vs Technical Analysis

motek 1This algorithmic article was written by Yutong Li – Analyst at I Know First, Master's candidate at Brandeis University.

Highlights:

  • Technical analysis seeks to explore past price trends using various indicators and behavior patterns to predict the future movements
  • Similar to technical analysis, machine learning is also performing well in navigating the patterns and trends from historical stock prices
  • Although both technical analysis and machine learning are powerful tools in trading, there are still some problems that technical analysis has but machine learning can smartly handle

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Algorithmic Trading Market: Investor Preferences in Choosing Algorithms during the Pandemic

Emily_portraitThis Algorithmic Article was written by Emily Adelson – Analyst at I Know First.

Why Investors Choose Algo Trading

With the pandemic impacting our lives greatly, investors watched as horror and uncertainty wreaked on the stock market,  many banks and government agencies fell into great debt and markets crashed. Now as markets recover and the pandemic ends, many investors take a bullish outlook on what the market could look like in the future. But this ability to recover the market so quickly was in no

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