Main features:
1] Take investment decisions based on data analysis, minimising emotional bias
2] Optimise strategies based on rigorous backtesting, using machine learning techniques
3] Diversify and switch across factor models, sectors and instruments to mitigate risk
4] Monitor and adapt quant models based on evolving market conditions
5] Modify portfolio with agility – churn is not bad
East Green Quant strategy leverages machine learning to unlock alpha, protect capital, and generate consistent returns across market conditions. Built on deep market expertise, we continuously refine our data-driven models for new opportunities and risk mitigation.
East Green Quant Strategy adopts a meticulous portfolio construction process through proprietary models and technology. Disciplined risk control across factor models ensures steady risk-adjusted capital appreciation.
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