Drying Out Dark Pools and Forecasting Trading Volume
This article was written by Julia Masch, a Financial Analyst at I Know First.
- Trading Volume Definition
- Delving Into Dark Pools
- In The I Know First Pipeline: Forecasting Trade Volume
This article was written by Julia Masch, a Financial Analyst at I Know First.Subscribe to receive exclusive PREMIUM content here
Top 3 Stock Valuation Methods Plus the Algorithmic Valuation Tool
Tali Soroker is a Financial Analyst at I Know First. 
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Subscribe to receive exclusive PREMIUM content HereMachine Learning Trading, Stock Market, and Chaos
Tali Soroker is a Financial Analyst at I Know First.Summary
- There is a notable difference between chaos and randomness making chaotic systems predictable, while random ones are not
- Modeling chaotic processes are possible using statistics, but it is extremely difficult
- Machine learning can be used to model chaotic processes more effectively
- I Know First has employed artificial intelligence and machine learning in order to make predictions in the stock market
- Definitions for underlined words can be found in the Glossary at the end of the article
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Subscribe to receive exclusive PREMIUM content HereAlgorithmic Trading With AI: Two Heads Better Than One
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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Subscribe to receive exclusive PREMIUM content hereAI-Driven Algorithmic Trading: Self-driving Car For Stock Markets
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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Subscribe to receive exclusive PREMIUM content hereNVDA Stock Forecast: NVidia Driving Profits in Q2 2019
This article on NVDA was written by Clarence Toh, an Analyst at I Know First.
Summary:
- Partnerships with Microsoft and Volvo extends Nvidia’s presence in the gaming and transport industry
- Strong Q2 earnings call gives Nvidia advantage over competitors
- Several aspects of their business is showing immense potential of growth
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Subscribe to receive exclusive PREMIUM content hereBuilding An AI-Based Algorithmic Trading Strategy
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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Subscribe to receive exclusive PREMIUM content hereAlgorithmic Trading: Wisdom Of The Crowd vs. Algorithmic Trading
“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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