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基于Storm的選股回測與計算系統(tǒng)的設(shè)計與實現(xiàn)

發(fā)布時間:2019-05-31 15:47
【摘要】:隨著中國經(jīng)濟(jì)的騰飛,越來越多的民眾參與到了股票市場中。廣大股民們有著自己的投資理念,他們希望可以預(yù)測自己的投資策略在未來的表現(xiàn)。雖然未來是不可知的,但中國的股票市場已有近30年的歷史,投資策略在股票市場歷史上的表現(xiàn)可以為投資策略提供數(shù)據(jù)支持。選股回測與計算系統(tǒng)為股民提供了自定義選股問句和策略信息,并在歷史區(qū)間內(nèi)模擬交易和計算收益情況的功能,指導(dǎo)股民投資。本系統(tǒng)是同行業(yè)中第一個提供此類功能的產(chǎn)品,并且具有消耗資源少、可靠性高、計算快的特點。本文系統(tǒng)采用了新的分布式實時計算框架Storm,充分利用Storm的并行計算能力,將復(fù)雜計算任務(wù)切分成多個子任務(wù),提高計算速度。本文以mongoDB作為主要的數(shù)據(jù)存儲載體,將MyBatis作為數(shù)據(jù)庫持久層框架,并采用Spring架構(gòu)。在此基礎(chǔ)上,本文分析了系統(tǒng)的項目背景和技術(shù)背景,重點介紹需求分析和系統(tǒng)設(shè)計,詳細(xì)闡述了重要模塊的實現(xiàn)細(xì)節(jié)。在測試環(huán)境下,本文系統(tǒng)可以在500ms內(nèi)完成復(fù)雜的運(yùn)算。目前,系統(tǒng)已經(jīng)被成功部署和運(yùn)行在真實環(huán)境中,運(yùn)行情況良好。
[Abstract]:With the rapid development of China's economy, more and more people have participated in the stock market. The majority of investors have their own investment ideas, they hope to be able to predict the performance of their investment strategy in the future. Although the future is unknowable, China's stock market has a history of nearly 30 years. The performance of investment strategies in the history of the stock market can provide data support for investment strategies. The stock selection return test and calculation system provides investors with custom stock selection questions and strategy information, and simulates the function of trading and calculating returns in the historical range to guide the investors to invest. This system is the first product in the same industry to provide this kind of function, and has the characteristics of low consumption of resources, high reliability and fast calculation. In this paper, a new distributed real-time computing framework Storm, is adopted to make full use of the parallel computing ability of Storm, and the complex computing tasks are divided into several subtasks to improve the computing speed. In this paper, mongoDB is used as the main data storage carrier, MyBatis is used as the database persistence layer framework, and Spring architecture is adopted. On this basis, this paper analyzes the project background and technical background of the system, focuses on the requirements analysis and system design, and expounds the implementation details of the important modules in detail. In the test environment, the system can complete the complex operation in 500ms. At present, the system has been successfully deployed and run in the real environment, running well.
【學(xué)位授予單位】:南京大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2016
【分類號】:TP311.52

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