Stock-prediction_kaggle | using market data provided by intrinio and news data
kandi X-RAY | Stock-prediction_kaggle Summary
kandi X-RAY | Stock-prediction_kaggle Summary
Stock-prediction_kaggle is a Jupyter Notebook library. Stock-prediction_kaggle has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
using market data provided by intrinio and news data provided by thomson reuters to predict the stock price performance in the competition hosted by two sigma. the abundance of data available today enables investors to mine over it and make better investment decisions. the challenge in this competition is cleaning the data to find which is useful and which is not rather than choosing the right algorithm to predict data because data in this set is abundant and finding the content takes a lot of effort. by going through the market data and joining it with the news data to find the correct trends in market price change, we are going to predict the stock market prices for the future. since the data is not freely available to download, we are supposed to use kaggle notebooks and develop a kernel for the project and cannot use other sources to code. a small sample of the market data and news data is given though that is free to download. we are planning to use various preprocessing techniques to extract useful information from those 4 million records to build a better stock market prediction model. in this project we predict a signed confidence value [-1,1] which is multiplied
using market data provided by intrinio and news data provided by thomson reuters to predict the stock price performance in the competition hosted by two sigma. the abundance of data available today enables investors to mine over it and make better investment decisions. the challenge in this competition is cleaning the data to find which is useful and which is not rather than choosing the right algorithm to predict data because data in this set is abundant and finding the content takes a lot of effort. by going through the market data and joining it with the news data to find the correct trends in market price change, we are going to predict the stock market prices for the future. since the data is not freely available to download, we are supposed to use kaggle notebooks and develop a kernel for the project and cannot use other sources to code. a small sample of the market data and news data is given though that is free to download. we are planning to use various preprocessing techniques to extract useful information from those 4 million records to build a better stock market prediction model. in this project we predict a signed confidence value [-1,1] which is multiplied
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Stock-prediction_kaggle has a low active ecosystem.
It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Stock-prediction_kaggle has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Stock-prediction_kaggle is current.
Quality
Stock-prediction_kaggle has no bugs reported.
Security
Stock-prediction_kaggle has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Stock-prediction_kaggle does not have a standard license declared.
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Without a license, all rights are reserved, and you cannot use the library in your applications.
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Stock-prediction_kaggle releases are not available. You will need to build from source code and install.
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Stock-prediction_kaggle Key Features
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