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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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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Algorithmic Trading Market: Booming Evolution and Bright Future

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

Highlights:

  • The global algorithmic trading market has risen tremendously these years, and algorithmic trading has dominated more than 80% of the stock market nowadays
  • Benefits of algorithmic trading today include the elevated speed of execution, reduction in transaction time, lower risk of errors, free of human bias, etc.
  • The total algorithmic trading market is projected to touch $18.8 billion by 2024

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Why Artificial Intelligence Will Always Beat the Market

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

Highlights:

  • Despite the controversial opinion on whether Artificial Intelligence could beat the market, AI could still win in many aspects
  • I Know First’s proprietary AI-powered algorithm can make accurate predictions and smartly approach the stock market uncertainty
  • Based on the 1-year evaluation summary, I Know First has predicted ^IXIC, SPY, and QQQ with 100% accuracy in a 1-year time horizon, and has a performance over 62% for for all time horizons

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Algorithmic Trading With I Know First Versus High Frequency Trading

Algorithmic Trading

Competition between investment firms is more intense than ever before as firms are expected to be able to beat the S&P 500 on a regular basis to retain and attract new investors. The market is evolving beyond previously established theories however investors still expect strong and consistent returns.

Traditional tools and fundamental analysis are no longer enough to stay competitive in the contemporary market. Investment firms need to stay one step ahead in order to be the first to recognize trends and take advantage of opportunities. To stay competitive they are looking to employ the most advanced tools to enhance performance. Algorithmic trading is now a growing trend filling this void. Algorithmic “Buy” and “Sell” orders account for 60%-70% of the US equity market volume. Previously, only large investment firms and hedge funds were able to utilize these advanced mathematical models but I Know First: Daily Market Forecast, a financial start-up, has developed an advanced self-learning algorithm that is being employed by professionals and retail investors alike.

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