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| Updated on 17/04/2019 | |
| November 2018 | - The direction of n-th day was the same that of the n-1 day. - Average accuracy: 50% |
| January 2019 |
- Bernoulli naive Bayes classifier was used to predict daily trend. - Indicators included: moving average, relative strength index, stochastic oscillator - Average accuracy: 52.60% |
| February 2019 |
- Bernoulli naive Bayes classifier was used. - Number of days included in the calculations of the indicators was adjusted for a higher accuracy. |
| April 2019 |
- Naive Bayes and Principal Component Analysis were compared. They achieved similar accuracy. - Parameters of some popular technical indicators were tested. Common parameters did not provide the best results. |