True Investing AI Machine Learning

What is Artificial Intelligence? 

It may seem relatively new, but the term, artificial intelligence, was actually first used back in the 1950s. John McCarthy, the legendary computer scientist at Stanford University who founded the field of Artificial Intelligence defined it like this: 

“It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence…”

According to an educational article and video on SAS, “Artificial intelligence is the science of training machines to perform human tasks.”

It further clarified the history of AI by saying, “The field has a long history rooted in military science and statistics, with contributions from philosophy, psychology, math and cognitive science. Artificial intelligence originally set out to make computers more useful and more capable of independent reasoning.”

This information gives you a basic understanding of AI, but how does it relate to Machine Learning? 

Machine Learning

“Some people use the terms artificial intelligence (AI) and machine learning (ML) interchangeably. The distinction between the two may seem trivial – after all, machine learning is a subset of AI,” writes Stephanie Overby on The Enterprisers Project.

She continues, “Picture a set of Russian nesting dolls: AI is the big one, ML sits just inside it, and other cognitive capabilities sit underneath them.”

Computer scientist and Machine Learning pioneer, Tom M. Mitchell said, “Machine learning is the study of computer algorithms that allow computer programs to automatically improve through experience.”

The life cycle of machine learning is described by SAS in six steps:

  • “Ask the question
  • Collect data
  • Train the algorithm
  • Try it out
  • Collect feedback
  • Use feedback

This is the method behind how machines learn from data.”

Putting AI and ML Into Your Investing

How cool would it be if you had AI software that had used those six steps, learned from the data and could preserve, protect and grow your investing portfolio? Algorithmic Intelligence (AI) at iFlip has incorporated machine learning. Using proven AI technology, the best automated trading software is available at iFlip

The mathematical algorithm that seems like it is a living thing is what sets the Algorithmic Intelligence at iFlip apart from other automated trading software. Where others simply rebalance portfolios, the AI at iFlip includes machine learning to mitigate loss.

Because it’s machine learning, iFlip’s AI is able to change based on changes in the markets. Positions in your portfolio will automatically be bought, sold or held, depending on market volatility. This is how the AI, which is part of your portfolio or Smartfolio, is able to manage risk. 

With risk managed and loss mitigated, your investment is preserved, protected and allowed to grow over time. This isn’t a get rich quick scheme. You can set up your account knowing AI is in the portfolio, making it a Smartfolio. Machine learning is part of the algorithmic trading software that will help grow your account.

Check out this one-minute video to learn how the best mobile stock app and automated trading software can help you. Then, click over to iFlip and see how AI and Machine Learning are the smartest way to invest.

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Zero-dollar ($0) commissions are available for self-directed Individual cash or margin brokerage accounts that trade U.S. listed securities via mobile devices and via web interface. To obtain the commission and fee schedule, please see our website at www.iflipinvest.com. Note that certain Flip Investor Inc. Product features listed are currently in development and will be available in the near future. System execution price, speed, response time, liquidity, market information, and account access times are affected by many factors, including market volatility, size and type of order, market conditions, system performance, and other factors. Some of the information provided show hypothetical results which may or may not represent live performance. All investments involve risk and the past performance of a security, or financial product does not guarantee future results or returns.  Keep in mind that while diversification and the use of algorithms may help manage risk it does not assure a profit, or protect completely against losses, in a down market. There is always the potential of losing money when you invest in securities, or other financial products.  Investors should consider their investment objectives and risks carefully prior to investing.

Past performance is not indicative of future performance. iFlip data results assembled using various Flip algorithms applied to the equities listed on this webpage (if any). Results compiled for each equity and each algorithm assume a 10,000 initial investment beginning on Jan 1st 2005. A $0.01 / share commission applied. All iFlip price assumptions are based on the opening price of each day as found in Yahoo finance. Yearly NAV data points compiled by compounding annual returns using standard year over year accounting. S&P500 results are derived using the SPY as a proxy. The data on this webpage is not intended as a solicitation. Always seek professional advice for suitability.