- Genetic Algorithm
(K-Genetic Algorithm®) - A solution to find the optimal trading condition in the stock market's massive data
Predict price and hedge through optimized searching method
- Various ways to predict the fluctuation of the stock market
- Massive data pattern analysis
- Calculate optimal effective value of analysis formula
Calculate optimal effective value of analysis formula
- Key Analysis Screen
- Search optimal variables by applying genetic algorithm
Advantages
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01
- Search Optimal Variable
- Searching optimal variables for multiple unknown stock analysis formulas available
-
02
- Original Analysis Method
- Overall analysis available
- Use the parameter representing the solution in a chromosome form
-
03
- Algorithm Analysis Method
- Track optimal values by assigning multiple values to the target function
- Execute analysis using stochastic operators
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04
- Connection Between AI + DATA
- Provide trading strategy with pattern analysis using AI
- Prepare for AI trading
Analysis Method
- Population
size - Cross
probability - Variation
probability - Convergence
form - Optimal
variable
- Select
group - Variable
replacement - Variable
substitution - Data
evaluation - Optimal
variable
Main Operators
- 01. Selection Operator
- Select two variables from the variable group for intersection
- Leave conditions with better results
- 02. Crossover Operator
- Create one condition variable from two selected condition variables
- Representative Operator of GA
- 03. Mutation Operator
- Replace condition variable with random value within selection range
- 04. Substitution Operator
- Replace the previously selected variable value with the value with good results.
Benefit
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Rapid Data Analysis : Analyze large amount of data in real-time to find optimal strategies
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Suggest the direction of R & D related with the 4th Industrial Revolution, Fintech, and Big Data