Algorithmic Trading: I Know First Strategy Tutorial

September 15, 2019

This video provides you with a detailed explanation on how to apply Dr. Roitman trading model. You can find all related articles on our website:

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Algorithmic Trading With AI: Two Heads Better Than One

August 28, 2019

This article was written by the I Know First Research Team.

Summary:

The rise of predictive AI industry has had a major impact on the financial sector.
Major players use AI predictions to validate their own calculations and reduce the market uncertainty.
I Know First predictive AI can help both institutional and private investors double-check their decision-making and work as bulwark against uncertainty.

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AI-Driven Algorithmic Trading: Self-driving Car For Stock Markets

August 28, 2019

This article was written by the I Know First Research Team.

Summary:

The AI industry is re-shaping the world, making sci-fi movies inch closer to reality by day.
This technology is implemented across very diverse businesses and industries.
The same tech that powers your smart trading algorithm today will power your self-driving car tomorrow.

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Building An AI-Based Algorithmic Trading Strategy

August 25, 2019

This article was written by the I Know First Research Team.

Summary:

Algorithmic trading has long been seen as something too cryptic and demanding for retail investors and traders.
However, recent advances in machine learning and increasing computer literacy are changing the tide.
Using AI predictions as part of the code, retail traders can build their own algorithms capable of beating the market.

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Algorithmic Trading: Wisdom Of The Crowd vs. Algorithmic Trading

August 23, 2019

“One of the biggest advantages of algorithmic trading is the ability to remove human emotion from the markets, as trades are constrained within a set of predefined criteria. This is an advantage because humans trading are susceptible to emotions that lead to irrational decisions. The two emotions that lead to poor decisions that algorithmic traders aren’t susceptible to are fear, and greed.”
“Advantages of Algorithmic Trading,” NASDAQ

Summary

What is the wisdom of the crowd?
How can the crowd misdirect investors?
How does algorithmic trading address the dangers of “following the herd”?

What is the “wisdom of the crowd”?

Could a crowd, provided that it is large and diverse enough, produce en masse an estimate that outperforms that of an individual expert? American journalist James Surowiecki would

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AI-Driven Algorithmic Trading: Disrupting The Disruptors

August 18, 2019

This article was written by the I Know First Research Team.

Summary:

The investment world has been evolving as high tech progress gave rise to new players.
As the tide turns again, the rise of the AI industry is giving traders new opportunities.
AI-driven tools work as major enhancements for traditional trading strategies.

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Day Trading Strategy: An In-depth Analysis of Realistic Back-Tests

February 15, 2019

Daniel Tal is a Quantitative Analyst at I Know First. He is currently a candidate for his bachelor's degree in Computer Science and Business Management at Columbia University.

Implementation of IKF strategy in intraday trading environment
Quantopian slippage and commissions models used to simulate real-time trading
Data and statistical Analysis of the methods used to gain day trading returns

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Algorithmic Trading: Machines Account for Upwards of 80% of Trades in the USA

February 4, 2019

Algorithmic Trading:

“Eighty percent of daily volume in the U.S. is done by machines” - Guy De Blonay, fund manager at Jupiter Asset Management

Summary:

New long-term strategies are being built around algorithmic trading and machine trading is now slowly eating further into long term investments.
The volume of trades in the USA done by machines can be up to 80% according to recent claims.
Blackrock are set to give a number of their financial analysts the boot in favour of a more updated trading strategy that draws on machines and Artificial Intelligence.
I Know First’s state of the art algorithm, uses Artificial Intelligence and self-learning capabilities to predict asset price movements in the market today.

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