Stock Market Twitter Bot

Twitter account where all is published: https://x.com/AI_Investor_py

Author

Created by: Pablo Calatayud
Email: [email protected]
LinkedIn: Pablo Calatayud Pelayo
Copyright: Take what is useful, discard what is not, mentioning it is up to you, but it would be appreciated.

Project Description

This project is an automated Twitter bot that provides stock market updates, including earnings reports, dividends, splits, and market performance metrics. As well, errors in production are flagged through a Telegram bot.

Project Structure

twitter_auto/
├── main.py                 # Main execution script
├── requirements.txt        # Project dependencies
├── run.bat                # Batch file for execution
│
├── config/                # Configuration files
│   ├── api_keys.py        # API keys and credentials
│   ├── auth.py           # Authentication settings
│   ├── telegram.py       # Telegram bot configuration
│   └── top_3000_tickers.csv  # Stock tickers data
│
├── utils/
│   └── utils.py          # Utility functions
│
├── weekdays/             # Weekday operations
│   ├── Dividends.py      # Dividend announcements
│   ├── Earnings.py       # Earnings reports
│   ├── Open_Market_Performance.py  # Market performance tracking
│   ├── Splits.py         # Stock splits tracking
│   └── logs/             # Weekday-specific logs
│
├── weekends/             # Weekend analysis scripts
│   ├── performance_Automatization_US_ALL.py
│   ├── Performance_Mag_7.py
│   ├── Performance_Markets.py
│   └── Performance_Sector.py
│
├── logs/                 # Application logs
│   └── main.log
│
└── miscelaneous/         # Additional analysis scripts
    └── Analyzing_Interesting_Company.py

Analytics

Features

Weekday Operations

• Market status monitoring
• Earnings announcements
• Dividend payment tracking
• Stock splits reporting
• Market performance metrics

Weekend Analysis

• Overall market performance tracking
• US stocks comprehensive analysis
• Magnificent Seven stocks performance
• Sector-wise performance analysis

Setup and Installation

1. Clone the repository
2. Install dependencies:

pip install -r requirements.txt

3. Configure the necessary files in config/:
   • api_keys.py: API credentials
   • auth.py: Authentication settings for twitter
   • telegram.py: Telegram bot configuration

Configuration Files

Required Configurations

1. config/api_keys.py:

api_key = "your_financial_modeling_prep_api_key"

2. config/telegram.py:

bot_token = "your_telegram_bot_token"
bot_chatID = "your_telegram_chat_id"

3. config/auth.py:

api_key = ""
api_key_secret = ""
access_token = ""
access_token_secret = ""
bearer = ""

Execution

Run the bot using either:

python main.py

or

run.bat

Schedule

Weekday Operations (weekdays/)

• Morning Update (8:00): Earnings, Dividends, and Splits reports
• Market Open (15:30): Opening status
• Mid-Day (18:30): Performance update
• Market Close (21:00): Closing summary

Weekend Operations (weekends/)

Saturday

• 08:00: Markets Performance Analysis
• 17:00: US Stocks Analysis

Sunday

• 08:00: Magnificent Seven Analysis
• 17:00: Sector Performance Analysis

Dependencies

See requirements.txt for full list of dependencies. Key packages include:

• requests
• loguru
• pandas
• numpy
• yfinance

Logging

• Main application logs: logs/main.log
• Weekday-specific logs: weekdays/logs/
• Log rotation: 500 MB

Contributing

Please contact the author for contribution guidelines.

License

Take what is useful, discard what is not, mentioning it is up to you, but it would be appreciated.

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Note: Ensure all API credentials are properly configured before running the bot.