Quantitative trading has a high demand for the analysis and mining of big data , And the rapid development of Computer Science , The continuous update and iteration of artificial intelligence , The quantitative strategy is more perfect . This paper is written by gong1003my Organize and release as a reference for project requirements ！
Quantitative trading is a relatively new concept , Its most distinctive feature is the use of models . The main features of quantitative trading are as follows .
1、 Investment perspective is wide . Efficient with computers 、 Accurately process starfish information , Look for broader investment opportunities in all markets .
2、 Discipline . Strict discipline is an important feature that distinguishes quantitative trading from active investment . There are many benefits of discipline , Can overcome the weakness of human nature , Like fear 、 greedy 、 Fluke mind , It can also overcome cognitive bias and so on .
3、 systematicness . Multi level model mainly includes industry selection model 、 Major asset allocation model and selected individual stock model . Multi angle observation mainly includes macro cycle 、 The valuation 、 grow up 、 Profit quality 、 Market structure 、 Analysts' earnings forecasts and market sentiment and other angles of analysis .
4、 timeliness . In time 、 Track market changes quickly , We are constantly discovering new statistical models that can provide huge returns , To find new trading opportunities .
Quantitative trading techniques are also designed to assess and manage different exposures in a trading portfolio . Sometimes there are subtle behaviors in financial security , Can be ignored by people . By relying on mathematical formulas , Investment advisers can better identify imbalances or vulnerabilities in the portfolio , If not solved, it may lead to potential losses .
Quantifying transactions is cost-effective . Investment advisers often diversify among a variety of securities in different regions . The quantitative trading style aims to reduce the cost of buying and selling many securities in a variety of transactions by simplifying these transactions .
Although quantitative trading strategies are mainly driven by computer software , But human factors are still needed . Financial analysts still have to do scientific research on Investment Technology , This is the basis of qualitative investment . For all that , Quantitative investment managers usually rely less on human recommendation and investment securities evaluation , And more on computerized formulas .
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