Closed ashis2004 closed 1 month ago
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hey @sanjay-kv please assign this issue to me i have experience with predictive analytics and time series data
@CodeSage4 I'm already doing
okay if you need any help ask me!
Hello @ashis2004! Your issue #607 has been closed. Thank you for your contribution!
Is there an existing issue for this?
Feature Description
Predicting stock prices is an important application of machine learning in finance. we will use machine learning algorithms to predict the stock prices of Netflix, one of the leading companies in the entertainment industry. We will use historical stock price data for Netflix to train and test machine learning models. The data consists of the following columns:
Date: The date of the stock price
Open: The opening price of the stock on that day
High: The highest price of the stock on that day
Low: The lowest price of the stock on that day
Close: The closing price of the stock on that day
Use Case
Investment Strategies: Investors can use the prediction system to develop and refine their investment strategies. By anticipating future stock price movements, they can make more informed decisions about when to buy or sell Netflix shares.
Risk Management: Financial analysts and portfolio managers can utilize the system to assess the risk associated with holding Netflix stock. Accurate predictions can help in diversifying portfolios and mitigating potential losses.
Benefits
No response
Add ScreenShots
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Priority
High
Record