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**Is your feature request related to a problem? Please describe.**
Yes, accurately predicting stock prices can help investors make informed decisions, potentially increasing returns and minimizing …
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I want to create a prophet machine learning model that can predict the tesla stock price for future 30 days.
Assign me this issue
I am working under GSSOC'24
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I have good knowledge regarding stock market and wanted to combine it with Python to make a prediction model and help other small or big investors to gain some profits.
Please assign me this projec…
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The Binary Trading AI Bot project aims to develop an AI-powered bot for binary trading, leveraging machine learning algorithms to predict market movements. To enhance the bot's predictive capabilities…
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**Is your feature request related to a problem? Please describe.**
Yes, The art of forecasting stock prices has been a difficult task for many of the researchers and analysts. Investors eagerly seek …
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### System Info
I am training a timeseries transformer model to predict stock price changes based on the previous day price and other parameters. I have encountered a series of errors related to …
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### Issue Title: Implement Infosys Stock Prediction using Bi-LSTM with Conv-1D
#### Description:
Develop a project to predict Infosys stock prices using a Bi-LSTM model combined with Conv-1D. The …
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I would like to add content on SARIMA along with its implementation in Python (Stock Price Prediction using SARIMA). I am a GSSOC contributor. Please assign this issue to me.
Dataset - Facebook stock…
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I am using this model on stock companies to predict their price of next ten days . Does TimesFm support time series prediction with multiple input features? Along with price, can we give input feature…
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Develop a simple model to predict stock prices using historical stock data. You can experiment with time series analysis and various machine learning algorithms.