Work

Prediction of Profitable Stock using Candlestick Patterns with ML

Year: 2025
Type: article
Abstract: Individuals have access to a trading platform through the stock market. The economy expands thanks to these interactions. An intriguing study issue is predicting the profitability of a company. If such forecasts can be produced effectively, people will be able to invest more methodically. Using a variety of candlestick chart patterns that may be broadly categorized as bearish, bullish, or neutral, we addressed this issue in our study. K Nearest Neighbor, Decision Tree, Random Forest, Support Vector Machine, AdaBoost, and Multilayer Perceptron are just a few of the categorization models that have been evaluated and show promising results.
Language: English
Open Access status: diamond
OpenAlex ID: W4414011007
FWCI:
Cites: 8
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Related to: 10