Is your feature request related to a problem? Please describe.
Optimize the parameters of dividend capture strategies to maximize returns and minimize risks.
Describe the solution you'd like
This project employs Genetic Algorithms (GA) to determine the optimal parameters for dividend capture strategies, such as entry and exit points, holding periods, and stock selection criteria. Dividend capture strategies involve buying a stock just before its ex-dividend date and selling it shortly after to capture the dividend payment.
Describe alternatives you've considered
Steps
Define the Parameters for Optimization: Identify key parameters such as entry and exit points, holding periods, and stock selection criteria.
Initialize a Population: Create an initial population of strategies with different combinations of parameters.
Evaluate Fitness: Assess the performance of each strategy based on historical stock price and dividend data.
Selection: Select the best-performing strategies based on their fitness scores.
Crossover and Mutation: Generate new strategies by combining and mutating the selected strategies.
Iteration: Repeat the evaluation, selection, crossover, and mutation steps for a defined number of generations to find the optimal strategy.
Additional context
Add any other context or screenshots about the feature request here.
Is your feature request related to a problem? Please describe. Optimize the parameters of dividend capture strategies to maximize returns and minimize risks.
Describe the solution you'd like This project employs Genetic Algorithms (GA) to determine the optimal parameters for dividend capture strategies, such as entry and exit points, holding periods, and stock selection criteria. Dividend capture strategies involve buying a stock just before its ex-dividend date and selling it shortly after to capture the dividend payment.
Describe alternatives you've considered
Steps
Additional context Add any other context or screenshots about the feature request here.