A web scraping-based approach for fundamental analysis platform in financial assets
Abstract
There are two main benefits of using fundamental analysis for investors and portfolio managers. First, investing in a company with good ratios has lower risks. The second reason is that it is possible to evaluate share prices with internal valuation methods based on ratios. These price valuations can be more meaningful when combined with technical analysis data. Many data terminals provide processes such as fundamental analysis data and price valuation on a paid and licensed basis. However, the balance sheet data of publicly traded markets are publicly available and can be obtained and interpreted by web scraping methods. This study presents an approach in which basic analysis and price evaluation are made with balance sheets and ratios using open-source tools and web scraping.
Keywords
Django, Financial forecasting, Fundamental analysis, Selenium, Web scraping
Supporting Institution
TÜBİTAK
Project Number
121E733
References
- A. Altan, S. Karasu, The effect of kernel values in support vector machine to forecasting performance of financial time series, The Journal of Cognitive Systems, 4(1), (2019) 17-21.
- O. B. Sezer, M. U. Güdelek, A. M. Özbayoğlu, Financial time series forecasting with deep learning: A systematic literature review: 2005–2019, Applied Soft Computing, 90, (2020) 106181.
- C. Rudin, C. Chen, Z. Chen, H. Huang, L. Semenova, C. Zhong, Interpretable machine learning: Fundamental principles and 10 grand challenges, Statistics Surveys, 16, (2022) 1-85.
- I. K. Nti, A. F. Adekoya, B. A. Weyori, A systematic review of fundamental and technical analysis of stock market predictions, Artificial Intelligence Review, 53, (2020) 3007-3057.
- Y. Huang, Y. Gao, Y. Gan, M. Ye, A new financial data forecasting model using genetic algorithm and long short-term memory network, Neurocomputing, 425, (2021) 207-218.
- Tradingview, Tradingview platform, retrieved from http://www.tradingview.com. Accessed on August 13, 2022.
- Y. Santur, Candlestick chart based trading system using ensemble learning for financial assets, Sigma Journal of Engineering and Natural Sciences, 40(2), (2022) 370-379.
- J. Roeder, M. Palmer, J. Muntermann, Data-driven decision-making in credit risk management: The information value of analyst reports, Decision Support Systems, 158, (2022) Article ID: 113770.
- Fundamental Analysis Ratios, retrieved from https://www.wallstreetmojo.com/ratio-analysis. Accessed on August 13,2022.
- N. R. Mustika, N. Novrina, Automated Black Box Testing using Selenium Python, International Journal of Computer Science and Software Engineering, 7(9), (2018) 201-204.