Robinhood Trading Using AI: Top Stock Picking Strategies to Boost Portfolio Now

This article is written by Hao Liu, Financial Analyst at I Know First.

Summary:

  • Robinhood users are taking high risks for lack of investment knowledge.
  • I Know First can help Robinhood users alleviate risks by utilizing AI-powered stock forecasts.
  • I Know First offers highly customizable forecasting solutions tailored to investor’s needs and riskiness.

premiumRead The Full Premium Article

Subscribe to receive exclusive PREMIUM content here

Live Trading Webinar With I Know First and Israel Securities Authority

Yaron Golgher Takes Part in AI Panel at FOW Trading Israel Derivatives Conference

wealthtech and AI panel

Yaron Golgher, CEO and co-founder of I Know First, took part in the AI/Big Data Panel of the FOW Trading Israel talking about applications of artificial intelligence for hedge funds, wealth management, trading and for the derivatives market. Yaron Golgher was appreciated for the insightful discussion he had with the other members of the panel – Daniel Giamouridis, Managing Director of Bank of America Merrill Lynch, Rahav Revivo, Fintech and Cyber Innovations Manager at Israel Ministry of Finance, and many others. The topics discussed involved the changes that the application of Big Data-based

Read More

Yaron Golgher at AI Panel Discussion for FWO Trading Israel Derivatives Conference

derivatives

FOW Derivatives Israel Conference

The fourth annual FOW Derivatives Israel conference will be held at the Sheraton Hotel in Tel Aviv on February 26. Global Investor Group comes to Israel in February 2020 – it will host a third time the largest derivatives conference in the region. This FWO conference will cover many topics and present panel discussions on a few key matters – International Trading, The Future of Liquidity, Technology Innovation, The Opportunities for Israel and Artificial Intelligence / Big Data / ABCD innovation.

We’re excited to have @yaron_gol

Read More

Unpacking the Ins and Outs of a Chaotic System – How Can We Predict it

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

Summary:

  • What is Chaos Theory?
  • Earthquakes – An example of a Natural Chaotic System
  • Randomness vs Chaos 
  • What makes a Chaotic System a Chaotic System
  • Modeling a Chaotic System
  • Can We Really Predict the Stock Market? Psychology of Trading and Feedback Loops

What is Chaos Theory?

Source: Medium

In a chaotic system like weather, a tiny change can make a huge impact. Weather is predicted a few days in advance because small changes in input can produce dramatically different results. 

The most commonly used example to explain chaos theory is the butterfly effect. It says that a butterfly flapping its wings on one end of the world can give rise to a hurricane in another part of the world. It sounds bizarre but it illustrates the huge impact small changes in the factors can have on the outcome. 

Without going into too much mathematical details, I would like to briefly explain how

Read More

Press Release: I Know First Selected To Join The Israel-China Accelerator Program In Beijing

Press Release

Press Release: Tel Aviv, Israel, November 30th, 2017 - I Know First Selected To Join The Israel-China Accelerator Program In Beijing

Read The Full Article

Artificial Intelligence Trading – Assault On Financial Sector: AI Is Beating Many Stock Pickers

The article was written by Aline Rzetelna, a Financial Analyst at I Know First

 Summary:

  • Artificial Intelligence and the Financial Sector
  • IBM's Watson Supercomputer
  • BlackRock Landing On Artificial Intelligence
  • UBS AG Implementing Artificial Intelligence Solutions
  • JPMorgan Deploys Mosaic Smart Data For Fixed Income Trading Business
  • I Know First Artificial Intelligence Algorithm

premiumRead The Full Premium Article

Subscribe to receive exclusive PREMIUM content here

Quick Win by the Algorithm: Bearish Forecast Continues Amid Further Complications

Quick Win by the Algorithm

Read The Full Forecast

Pages:123»