{"title":"基于集合预测器的价格预测与定量交易策略","authors":"Zijie Wang, Zhule Liu, Hongfu Li","doi":"10.1109/aemcse55572.2022.00072","DOIUrl":null,"url":null,"abstract":"It remains difficult to make a quantitative trading strategy by predicting the former statistics, with the aim of balancing the risks and profits. In this article, we presented an innovative price forecasting and quantitative trading strategy based on ensemble forecaster. The strategy program was designed by the modified Sharpe ratio and PSO, which overcame the original Sharpe ratio’s conservation and the slow program’s convergence rate. And the model was effective and sensitive proved by the disturbance evaluation.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Price Forecasting and Quantitative Trading Strategy Based on Ensemble Forecaster\",\"authors\":\"Zijie Wang, Zhule Liu, Hongfu Li\",\"doi\":\"10.1109/aemcse55572.2022.00072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It remains difficult to make a quantitative trading strategy by predicting the former statistics, with the aim of balancing the risks and profits. In this article, we presented an innovative price forecasting and quantitative trading strategy based on ensemble forecaster. The strategy program was designed by the modified Sharpe ratio and PSO, which overcame the original Sharpe ratio’s conservation and the slow program’s convergence rate. And the model was effective and sensitive proved by the disturbance evaluation.\",\"PeriodicalId\":309096,\"journal\":{\"name\":\"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/aemcse55572.2022.00072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/aemcse55572.2022.00072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Price Forecasting and Quantitative Trading Strategy Based on Ensemble Forecaster
It remains difficult to make a quantitative trading strategy by predicting the former statistics, with the aim of balancing the risks and profits. In this article, we presented an innovative price forecasting and quantitative trading strategy based on ensemble forecaster. The strategy program was designed by the modified Sharpe ratio and PSO, which overcame the original Sharpe ratio’s conservation and the slow program’s convergence rate. And the model was effective and sensitive proved by the disturbance evaluation.