This repository contains a Python script designed to analyze the sentiment of news articles related to Bitcoin and cryptocurrencies using OpenAI's API and NewsAPI. The sentiment analysis results are intended to be used as a basis for a trading strategy in TradingView through Pine Script. The script fetches news articles, analyzes their sentiment, and computes an average sentiment score that can be used to make informed trading decisions.

Before you can use this script, you need the following:

• Python 3.x installed on your system.
• An API key from OpenAI (GPT-3).
• An API key from NewsAPI.
• Basic understanding of Python and Pine Script.

1. Clone the Repository: Clone this repository to your local machine or download the files directly.

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   git clone https://github.com/your-username/your-repo-name.git

2. Install Dependencies: Navigate to the directory where the script is located and install the required Python libraries.

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   pip install requests beautifulsoup4 openai newsapi-python

3. API Keys Configuration: Enter your OpenAI and NewsAPI keys in the script.

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   `# Set your OpenAI API key openai.api_key = "your-openai-api-key"

   Set your NewsAPI key

   newsapi = NewsApiClient(api_key='your-newsapi-key')`

1. Running the Script: Execute the script to fetch and analyze articles. By default, it's set to analyze articles related to "bitcoin". You can change this keyword in the script.

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   python sentiment_analysis.py

2. Output: The script will print out a summary of the sentiment analysis, including the sentiment of each article and the average sentiment score.

3. Pine Script Integration: Utilize the average sentiment score in your Pine Script for TradingView to create sentiment-based trading strategies.

1. Data Hosting: Host your sentiment data on a server or a platform like Google Sheets.
2. Fetching Data in Pine Script: Use the http_get function in Pine Script to fetch the sentiment data from your server.
3. Implement Strategy: Use the fetched sentiment data to make trading decisions in your Pine Script.

Contributions to enhance the functionality, improve efficiency, or fix bugs in the script are welcome. Please follow the standard GitHub pull request process to propose changes.

The provided script and strategy are for educational purposes only. Trading cryptocurrencies or any other financial instrument involves significant risk. The creators of this script are not responsible for any financial losses incurred using this strategy.

This project is licensed under the MIT License - see the LICENSE file for details.

If you have any questions, suggestions, or want to discuss improvements, please open an issue in this repository.

Remember to replace placeholders like your-username, your-repo-name, your-openai-api-key, and your-newsapi-key with your actual information. Also, further customization might be necessary depending on the specific features or additional functionality you add to the script.