Stock Price Prediction Architecture
Prompt
An architecture diagram portraying a decision support system for predicting stock prices. The diagram should encompass various components such as a data intake module, pre-processing unit, prediction algorithm, decision-making logic, and output interface. The data intake module should depict the collection of real-time and historical stock market data, leading to the pre-processing unit where this data is cleaned and normalized. This processed data then feeds into the prediction algorithm powered by artificial intelligence and machine learning. The output from the prediction algorithm subsequently drives the decision-making logic, finally surfacing to the output interface to visual display the interpretation of predicted stock prices.
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