Simplex is an investment management firm that utilizes advanced computing and data science to implement systematic trading strategies. As one of the pioneers in quantitative investing, Simplex has developed sophisticated algorithms and models to capitalize on market inefficiencies. This article provides an overview of Simplex’s investment approach and strategies.
Simplex Focuses on Short-term Price Prediction Models
Unlike traditional fundamental analysis, Simplex’s investment strategies rely heavily on predictive signals and quantitative models. Their algorithms ingest various data sources to detect patterns and make short-term predictions on asset prices. By leveraging insights from big data and machine learning, Simplex aims to systematically harvest alpha from financial markets.
Multiple Strategies Across Different Asset Classes
Simplex deploys capital through a diverse set of strategies, including statistical arbitrage, trend following, market making, etc. These strategies trade a variety of instruments globally, from equities, futures to foreign exchange. Such diversification allows Simplex to balance risk and stabilize performance.
Emphasis on Technology and Systematic Execution
With its roots in technology, Simplex strives to automate as much of the investment process as possible. Portfolio managers define the trading rules and algorithms while order management and risk monitoring are handled systematically. This ensures consistent execution and risk control.
In summary, Simplex investment utilizes predictive signals, quantitative models and automation to implement systematic trading strategies across asset classes. Its technology-driven approach represents the cutting-edge of quantitative investing.