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English Information

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Authors
# Name
1 José Cordeiro(jose.cordeiro@ifma.edu.br)
2 Arlino Magalhaes(arlino@ufpi.edu.br)
3 Victor Rodrigues(victor.gabriel@ufpi.edu.br)
4 Guilherme Avelino(gaa@ufpi.edu.br)

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Reference
# Reference
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2 Bagul, J., Warkhade, P., Gangwal, T., and Mangaonkar, N. (2022). Arima vs lstm algorithm – a comparative study based on stock market prediction. In 2022 5th International Conference on Advances in Science and Technology (ICAST).
3 Chan, J. Y.-L., Phoong, S. W., Cheng, W. K., and Chen, Y.-L. (2022). Support resistance levels towards profitability in intelligent algorithmic trading models. Mathematics, 10(20).
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5 Chinprasatsak, K., Niparnan, N., and Sudsang, A. (2020). Neural network for forecasting high price and low price on foreign exchange market. In 2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON).
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11 Kedia, V., Khalid, Z., Goswami, S., Sharma, N., and Suryawanshi, K. (2018). Portfolio generation for indian stock markets using unsupervised machine learning. In 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA).
12 Kumari, S., Patil, N., Nankar, P., and Kulkarni, M. (2020). Cuda parallel computing framework for stock market prediction using k-means clustering. In 2020 International Conference on Smart Electronics and Communication (ICOSEC).
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14 Mao, B., Cao, Y., and Li, B. (2024). Grain price prediction model based on timef-iforest-transformer. In 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD).
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18 Rahimpour, S. M., Goudarzi, R., Shahparifard, V., and Mirpoorian, S. N. (2024). Algorithmic trading using technical indicators and extereme gradient boosting. In 2024 11th IEEE Swiss Conference on Data Science (SDS).
19 Silva, A. P. and Razente, H. (2024). Desempenho de operações distribuídas de agrupamento por similaridade em dados de alta dimensionalidade por meio da vp-tree. In Anais do XXXIX Simpósio Brasileiro de Bancos de Dados.
20 Teja, K. R. and Liu, C.-M. (2023). Trade ease with machine learning and aws. IEEE Access.
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22 TradingView (2025). Tradingview – gráficos de ações, cripto e forex. Acessado em: 24 abr. 2025.
23 Yıldırım, E. O., Uçar, M., and Özbayoglu, A. M. (2019). Evolutionary optimized stock support-resistance line detection for algorithmic trading systems. In 2019 1st International Informatics and Software Engineering Conference (UBMYK).
24 Zhang, Y., Li, Z., Su, Y., Li, J., and Chen, S. (2024). A novel method for bitcoin price manipulation identification based on graph representation learning. IEEE Transactions on Computational Social Systems.
25 Öner, S. C., Şahan, H., Demirdağ, M., and Bayrak, A. T. (2024). Anomaly detection in stock market transactions: A comparison of deep learning methods. In 2024 32nd Signal Processing and Communications Applications Conference (SIU).