Algorithmic Trading: Combines Market Noise Trading And Trend Trading
Tali Soroker is a Financial Analyst at I Know First. 
Tali Soroker is a Financial Analyst at I Know First. Subscribe to receive exclusive PREMIUM content Here
Trading Fast And Slow
This article was written by the I Know First Research Team.Summary:
- High frequency trading, once both controversial and sought-after, is losing momentum.
- Trading at hyperspeed is not necessarily beneficial for smaller institutions and retail traders.
- The rise of AI offers them a more affordable and equally high-tech solution that promises great returns on trading slow.
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Subscribe to receive exclusive PREMIUM content hereMachine Learning: Hedge Funds and Quantitative Trading
The article was written by Jordan Klotnick, a Financial Analyst at I Know First. He graduated from Monash University with a Bachelor's in Business - Majoring in Marketing.Machine Learning
Summary
- Artificial Intelligence and Hedge Funds
- Hedge Funds Train Computers To Think Like Humans
- Deep Learning Difficulties
- Artificial Intelligence
- I Know First and Hedge Funds
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AI Hedge Fund: Hedge Funds With Machine Learning Capabilities
The article was written by Blair Goldenberg, a Financial Analyst at I Know First, and enrolled in a Masters of Finance at Colorado State University.AI Hedge Fund
Summary
- AI Hedge Fund and Machine Learning
- I Know First and Hedge Funds
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The Efficiency of Hedge Fund Strategies in the Pandemic Time
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 strategies that significantly overperformed the S&P 500 from 2.5 to 5.5 times
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Subscribe to receive exclusive PREMIUM content hereThe Conceptual Framework of Applying ML and AI Models to Analyze and Forecast Financial Assets
This article was written by:
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Sergey Okun – Financial Analyst at I Know First, Ph.D. in Economics.
Eugene 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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Subscribe to receive exclusive PREMIUM content hereQuantitative 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. 
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Machine Learning Hedge Fund: Artificial Intelligence, Algotrading and Hedge Funds
Tali Soroker is a Financial Analyst at I Know First.
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