Prediction of Profitable Stock using Candlestick Patterns with ML

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.