EVALUATION OF OPTIMAL ECONOMIC AND TECHNICAL INDICATORS FOR AGRICULTURE STOCK TRADING DECISION
Abstract
The main goal of the research was to determine which indicators are the most
impactful on the buy and sell triggers of stocks to maximize profits of the trade. The aim
was to determine the agriculture stock price movements based on economic and
technical indicators. The investors in the stock market want to maximize trade profits by
buying or selling the stocks. Technical and economic analyses are conducted to
determine whether to sell or buy agriculture stocks. Since many factors could impact
stocks profit decisions, it is essential to determine which parameter has more or less
influence on the decision. For such a purpose adaptive neuro-fuzzy inference system
(ANFIS) was used since the method is suitable for redundant and nonlinear data.
Generally, technical indicators are more valuable and impactful for agricultural stock
trading decision-making. Technical indicator moving average convergence and
divergence (MACD) strongly influences the stock trading decision. Economic indicator
relative change after smoothing 15 days federal rate has the most decisive influence on
the stock trading decision.
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