Crypto Bot Analyzer Project

This project uses Crew AI to analyze cryptocurrency coin input by the user through three specialized agents and create a comprehensive report based on it analyses. The agents involved are Market_Analysis_Agent, Technical_Analysis_Agent, Sentiment_Analysis_Agent, and Write_Report_Agent. Each agent is tasked with specific functions and uses designated tools to fulfill their roles.

Agents and Their Tasks

1. Market_Analysis_Agent

Analyze the market of the given crypto coin.

Task:

• Obtain a URL using the Extract_url tool.
• Fetch real-time data from the designated website using the Scrap_data tool.
• Generate a report using the fetched content.

Tools:

• Extract_url: Extracts the URL needed for analysis.
• Scrap_data: Scrapes real-time data from the extracted URL.

2. Technical_Analysis_Agent

Analyze the crypto coin's candlestick chart from Binance.

Task:

• Extract a symbol from the provided data.
• Take a screenshot of the candlestick chart from the given Binance website using the Take_ss tool.
• Analyze candlestick charts to understand market sentiment and price movements.

Tools:

• Take_ss: Open Binance Website using selenium and takes a screenshot of the candlestick chart.
• Get_Pic_Content: Analyzes the screenshot to extract relevant information.

3. Sentiment_Analysis_Agent

Analyze the market of the coin from the news and articles rencently published on it.

Task:

• Use the search tool to find recent blogs and news websites(articles) related to the given coin name.
• Extract relevant content from these sources using the find_similar and get_contents tools.

Tools:

• search: Finds recent websites and blogs.
• find_similar: Identifies similar content related to the search query.
• get_contents: Extracts content from the identified websites.

4. Write_Report_Agent

Create an extensive report on the cryptocurrency and generate a downloadable PDF document.

Task:

• Create a detailed report by integrating analyses from Market_Analysis_Agent, Technical_Analysis_Agent, and Sentiment_Analysis_Agent.
• Provide an additional comprehensive analysis based on the integrated data.

How to Run

1. Setup Environment: Ensure you have Python installed and set up a virtual environment.

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

2. Install Dependencies: Install the required packages using pip.

   pip install -r requirements.txt

3. Run the Main Script:

   streamlit run main.py