Feature request: Stock Market direction predictor

[PavanTeja2005]

Is your feature request related to a problem? Please describe.

Currently, the project lacks a feature that can help users predict stock price movements (up or down) for the next trading day. This functionality could assist traders and analysts in making informed decisions based on historical stock data and technical indicators. Describe the solution you'd like

I propose adding a stock price direction predictor using machine learning models. The predictor will take historical stock price data (OHLC - Open, High, Low, Close) and relevant technical indicators (e.g., moving averages, RSI) as input and predict whether the stock price will move up or down on the following day.

Describe alternatives you've considered

• Using basic statistical methods like moving averages alone without machine learning for prediction.
• Implementing a simple threshold-based model instead of a machine learning approach.

However, these alternatives may not offer the same predictive power as a machine learning model that learns from historical trends and patterns. Approach to be followed (optional)

• Gather historical stock price data and compute relevant technical indicators.
• Pre-process the data to create features for model input.
• Train an lstm to predict the direction of the next day's price.
• Evaluate the model and integrate it into the project as a function for prediction.
• Add unit tests to validate the model's accuracy.

Additional context

Adding this feature could enhance the project's usefulness for financial analysis. It could be integrated with other tools in the project to provide a comprehensive stock analysis suite.

I'm a GSSOC contributor please provide me with proper labels.

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[github-actions[bot]]

Hello @PavanTeja2005! Your issue #304 has been closed. Thank you for your contribution!