Although in the US equity market, European financial markets, and major Asian capital markets, algorithmic trading accounts for about 60-75 percent of the overall trading volume, financial institutions are making the largest profits in highly liquid markets with human traders.
In AI Quant Labs we - traders and programmers-, are working on generating algorithmic trading systems those mimic the behavioral characteristics of professional human traders. And we have more:
While natural sciences have the opportunity to use a laboratory environment to conduct experiments, it is not possible to do this in financial markets because finance science does not have a ‘laboratory’.
Here in AI Quant Labs, we devote our significant effort, time and resources in testing our trading algorithms in the laboratory environment that mimics the behavioral characteristics of finance markets.
We are well aware of the fact that no matter what trading algorithm you have, if you cannot test it in conditions close to the real financial markets, there is a high probability that this algorithm will fail in real trading.
Our + 10 years experience in trading, exceptional testing environment and the evolution of programming have brought the most advanced trading algorithms into world: NOVA and SIRIUS.
Company Details
- Employees
- 1
- Industry
- Financial Services
- NAICS
-
Finance and InsuranceMonetary Authorities-Central Bank
Ai Quant Labs Questions
Ai Quant Labs's LinkedIn profile is https://www.linkedin.com/company/ai-quant-labs
Ai Quant Labs has
1 employees.
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employees at Ai Quant Labs.
Ai Quant Labs's industry is
Financial Services
Ai Quant Labs's top competitors are
Permuto Capital,
Gh Miners,
Sigma Capital,
Apomaya,
Transform Ventures,
Sundial Protocol,
Transform Group,
Ai Quant Labs,
Socious Fund,
Hypercube®.
Ai Quant Labs's categories are Financial Services
