QuantHouse to boost TSL’s machine learning capabilities
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End-to-end systematic trading solutions provider, QuantHouse announced today that Trading System Lab (TSL) added their machine learning capabilities as part of the QuantFactory cloud backtesting site. The cloud backtesting site offers a configurable environment, allowing clients to develop, backtest, optimise and implement quantitative trading strategies for later implementation.
Salloum Abousaleh, Managing Director – Americas, QuantHouse, said, “Machine learning increases the scope of trading strategies available and the number of markets and data sources that an individual can process and respond to. QuantFactory and TSL combined, drastically reduce the time to engineer and deploy algorithmic trading strategies and automatise what is often a tedious manual process. This collaboration is part of our ongoing commitment to simplify access to quantitative trading that enables our clients to reduce cost, improve quality, decrease time to market and expand their universe of novel strategies through Machine Learning.”
TSL offers machine learning capabilities in a bid to automate the design and development of trading strategies. This enables TSL to deliver far more innovative strategies, design thousands of strategies per second and per instance, reduce time to market and is interoperable with all data, markets, frequency and programming languages.
Mike Barna, CEO, Trading System Lab, added, “We are delighted to deliver our machine learning capabilities to the global QuantHouse community. Our integration with QuantFactory allows QuantHouse clients to rapidly deploy new strategies without writing a single line of code while leveraging QuantHouse’s leading research and backtesting environment helps optimise and deploy the trading models generated by our platform.”
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