Silicon Valley Hedge Fund Takes on Wall Street with AI Trader
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Re: Silicon Valley Hedge Fund Takes on Wall Street with AI Trader
#2>Sentient's system is inspired by evolution. According to patents, Sentient has thousands of machines running simultaneously around the world, algorithmically creating what are essentially trillions of virtual traders that it calls "genes." These genes are tested by giving them hypothetical sums of money to trade in simulated situations created from historical data. The genes that are unsuccessful die off, while those that make money are spliced together with others to create the next generation. Thanks to increases in computing power, Sentient can squeeze 1,800 simulated trading days into a few minutes
Re: Silicon Valley Hedge Fund Takes on Wall Street with AI Trader
#3This is the most interesting bit for me: >Sentient's system is inspired by evolution. According to patents, Sentient has thousands of machines running simultaneously around the world, algorithmically creating what are essentially trillions of virtual traders that it calls "genes." These genes are tested by giving them hypothetical sums of money to trade in simulated situations created from historical data. The genes…
> It shares little about the data used for the AI's decision-making and isn't profitable
Re: Silicon Valley Hedge Fund Takes on Wall Street with AI Trader
#4This is the most interesting bit for me: >Sentient's system is inspired by evolution. According to patents, Sentient has thousands of machines running simultaneously around the world, algorithmically creating what are essentially trillions of virtual traders that it calls "genes." These genes are tested by giving them hypothetical sums of money to trade in simulated situations created from historical data. The genes…
This is the most interesting bit for me : > It shares little about the data used for the AI's decision-making and isn't profitable
Re: Silicon Valley Hedge Fund Takes on Wall Street with AI Trader
#5This is the most interesting bit for me: >Sentient's system is inspired by evolution. According to patents, Sentient has thousands of machines running simultaneously around the world, algorithmically creating what are essentially trillions of virtual traders that it calls "genes." These genes are tested by giving them hypothetical sums of money to trade in simulated situations created from historical data. The genes…
Re: Silicon Valley Hedge Fund Takes on Wall Street with AI Trader
#6This is the most interesting bit for me: >Sentient's system is inspired by evolution. According to patents, Sentient has thousands of machines running simultaneously around the world, algorithmically creating what are essentially trillions of virtual traders that it calls "genes." These genes are tested by giving them hypothetical sums of money to trade in simulated situations created from historical data. The genes…
So, genetic algorithms? Good luck with that.
Re: Silicon Valley Hedge Fund Takes on Wall Street with AI Trader
#7This is the most interesting bit for me: >Sentient's system is inspired by evolution. According to patents, Sentient has thousands of machines running simultaneously around the world, algorithmically creating what are essentially trillions of virtual traders that it calls "genes." These genes are tested by giving them hypothetical sums of money to trade in simulated situations created from historical data. The genes…
So, genetic algorithms? Good luck with that.
https://scholar.google.com.hk/scholar?q=Babak+Hodjat+genetic...
Re: Silicon Valley Hedge Fund Takes on Wall Street with AI Trader
#8Re: Silicon Valley Hedge Fund Takes on Wall Street with AI Trader
#9How is it possible to generate seven years of convincing sample data from historical trading data without overfitting your models?
Re: Silicon Valley Hedge Fund Takes on Wall Street with AI Trader
#10> Thanks to increases in computing power, Sentient can squeeze 1,800 simulated trading days into a few minutes. How is it possible to generate seven years of convincing sample data from historical trading data without overfitting your models?