Strix Leviathan, a quantitative investment management firm, has launched its proprietary trading platform called Octopus. The platform is a product of more than two years of work, offering its users an enterprise-grade portfolio management system specifically tailored for cryptocurrencies.
Strix’s new trading platform uses advanced algorithmic trading strategies
Minimizing human judgment in crypto investing is the basis of Strix Leviathan’s business model—the company’s fund is almost completely run by advanced quantitative trading algorithms.
After spending more than two years building an enterprise-grade portfolio management system that is tailored for digital assets, Strix Leviathan launched its proprietary trading platform Octopus.
According to the company’s announcement, the trading platform will have Strix’s distinct technical advantage, applying quantitative trading strategies to cryptocurrencies and cryptocurrency indexes.
Trading data will be pulled from the various leading exchanges and brokers on the market by Strix’s proprietary Data Ingestion Engine. Artificial intelligence and machine learning will then be applied to those data sets to create trading strategies. These strategies, Strix said, are all optimized to volatile market conditions that exist in digital asset markets.
Managing risk with a robust backtesting engine
The Octopus trading platform will have several key features, the most notable being a Portfolio Manager. The tool will use real-time risk management statistics provided by Strix’s software platform to assess the health and performance of the investment fund.
Real-time trading data is gathered from eight different exchanges, allowing Octopus to generate synthetic spot pricing. According to the company, this gives its trading team visibility into real-time market conditions, enabling them to instantaneously execute block OTC trades.
“The same platform used to execute and operate the production portfolio is used to backtest strategies as part of the strategy development process.”
Traders can track execution details and performance down to individual orders across each asset in real-time.
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