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SpeedLab AG logo — Deep Learning Investment Technologies⠀-⠀FX | Crypto | Bonds...

SpeedLab AG

Deep Learning Investment Technologies⠀-⠀FX | Crypto | Bonds & Indices | Stocks

Founded 2014 Switzerland Cham, Switzerland 10 employees

General Information

Company Name SpeedLab AG
Founded Year 2014
Location Switzerland Cham, Switzerland +1
Employees 10
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About SpeedLab AG

SpeedLab AG is an investment management firm based in Switzerland, founded in 2014, specializing in trading across various asset classes. The company's focus lies in delivering exceptional returns for its clients through the exclusive use of Artificial Intelligence technology. The firm holds a strong Institutional Partnerships network, and its shareholder list includes a renowned Private Bank, a Venture Capital firm, and a Family Office. SpeedLab AG's slogan, "Deep Learning Investment Technologies," underlines its commitment to leveraging advanced technologies, particularly in FX, Crypto, Bonds & Indices, and Stocks trading. Despite not having publicly disclosed the details of its last investment, the company's strategic alliances and emphasis on AI-driven investment strategies position it as a notable player in the investment management landscape.

Taxonomy: investment management, quantitative trading, institutional partnerships, algorithmic trading, trading technology, investment strategies

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FAQ About SpeedLab AG

Deep Learning Investment Technologies⠀-⠀FX | Crypto | Bonds & Indices | Stocks
SpeedLab AG was founded in 2014.
SpeedLab AG is headquartered in Cham, Switzerland.
SpeedLab AG has approximately 10 employees.
Top alternatives and competitors to SpeedLab AG include Trade Stocks, Cindx, The Super Trader, Simdaq, RevenYOU – BOTS. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
SpeedLab AG and Trade Stocks are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

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