Development of a Backtesting Web Application for the Definition of Investment Strategies

Backtesting represents a set of techniques that aim to evaluate trading strategies on historical data in order to verify their effectiveness before applying them to a market in real time. This requires processing large amounts of data from different periods and applying different simulation techniqu...

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Main Author: Antonio Sarasa-Cabezuelo
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Knowledge
Subjects:
Online Access:https://www.mdpi.com/2673-9585/3/3/28
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author Antonio Sarasa-Cabezuelo
author_facet Antonio Sarasa-Cabezuelo
author_sort Antonio Sarasa-Cabezuelo
collection DOAJ
description Backtesting represents a set of techniques that aim to evaluate trading strategies on historical data in order to verify their effectiveness before applying them to a market in real time. This requires processing large amounts of data from different periods and applying different simulation techniques to them. In general, these types of tools are not very popular for reasons such as the amount of data that must be evaluated and maintained, the computational resources that are required, and the need to have a deep conceptual understanding of these techniques in order to use them. This article presents a web application that implements a set of backtesting functionalities that allow evaluating different trading strategies, managing portfolios, representing the results of simulations, and optimizing a stock portfolio, all from an intuitive and visual interface that makes these techniques accessible to new investors in this field.
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spelling doaj.art-1972b199afe64520af3714a6ed4ef1ea2023-11-19T11:32:52ZengMDPI AGKnowledge2673-95852023-08-013341443110.3390/knowledge3030028Development of a Backtesting Web Application for the Definition of Investment StrategiesAntonio Sarasa-Cabezuelo0Department of Computer Science, Complutense University of Madrid (UCM), 28040 Madrid, SpainBacktesting represents a set of techniques that aim to evaluate trading strategies on historical data in order to verify their effectiveness before applying them to a market in real time. This requires processing large amounts of data from different periods and applying different simulation techniques to them. In general, these types of tools are not very popular for reasons such as the amount of data that must be evaluated and maintained, the computational resources that are required, and the need to have a deep conceptual understanding of these techniques in order to use them. This article presents a web application that implements a set of backtesting functionalities that allow evaluating different trading strategies, managing portfolios, representing the results of simulations, and optimizing a stock portfolio, all from an intuitive and visual interface that makes these techniques accessible to new investors in this field.https://www.mdpi.com/2673-9585/3/3/28backtestingstrategytradingtraderportfoliosquantitative finance
spellingShingle Antonio Sarasa-Cabezuelo
Development of a Backtesting Web Application for the Definition of Investment Strategies
Knowledge
backtesting
strategy
trading
trader
portfolios
quantitative finance
title Development of a Backtesting Web Application for the Definition of Investment Strategies
title_full Development of a Backtesting Web Application for the Definition of Investment Strategies
title_fullStr Development of a Backtesting Web Application for the Definition of Investment Strategies
title_full_unstemmed Development of a Backtesting Web Application for the Definition of Investment Strategies
title_short Development of a Backtesting Web Application for the Definition of Investment Strategies
title_sort development of a backtesting web application for the definition of investment strategies
topic backtesting
strategy
trading
trader
portfolios
quantitative finance
url https://www.mdpi.com/2673-9585/3/3/28
work_keys_str_mv AT antoniosarasacabezuelo developmentofabacktestingwebapplicationforthedefinitionofinvestmentstrategies