https://github.com/himanshuteotia/stocks-predictions

In this project, I utilize Angle One stock broker for thorough stock analysis, leveraging advanced algorithms such as MACD, Moving Averages, Price Action, ROC, RSI, VWAP, and Volume analysis. The platform offers API-based buy/sell recommendations and real-time notifications, enhancing my investment decisions and strategy.
https://github.com/himanshuteotia/stocks-predictions

stock-market stock-price-prediction stocks-api

Last synced: 7 days ago
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In this project, I utilize Angle One stock broker for thorough stock analysis, leveraging advanced algorithms such as MACD, Moving Averages, Price Action, ROC, RSI, VWAP, and Volume analysis. The platform offers API-based buy/sell recommendations and real-time notifications, enhancing my investment decisions and strategy.

• Host: GitHub
• URL: https://github.com/himanshuteotia/stocks-predictions
• Owner: himanshuteotia
• License: mit
• Created: 2024-01-06T11:24:41.000Z (12 months ago)
• Default Branch: master
• Last Pushed: 2024-03-12T11:33:14.000Z (10 months ago)
• Last Synced: 2024-11-07T05:24:45.367Z (about 2 months ago)
• Topics: stock-market, stock-price-prediction, stocks-api
• Language: TypeScript
• Homepage:
• Size: 476 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Stock Analysis API's

I am currently working on this project where I am using the Angle one stock broker. With its help, I can analyze the recent performance of any stock and based on that, the API suggests whether I should buy that stock or not. I can create a wishlist of stocks and keep an eye on them. Whenever a stock falls within the buy range, this software will notify me that I can buy it. I have used multiple algorithms for stock prediction such as MACD, Moving Averages, Price action, ROC, RSI, VWAP, and Volume, which can provide me with buy signals.

This is a TypeScript project that uses npm to manage dependencies and build scripts.

## Installation

To install the project, clone the repository and run the following command:

`npm install`

This will install all of the dependencies required to build and run the project.

## Running

To run the project, run the following command:

`npm start`

This will start the project and listen for incoming requests on the specified port.

## Testing

To run the tests for the project, run the following command:

`npm test`

This will run all of the tests in the `test` directory and output the results to the console.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.