Trading Signals Bot

Create a bot that analyzes trading data to generate and report trading signals. Trading signals are cues to buy, sell, or hold an asset, typically based on market data and technical indicators.

# Steps
1. **Gather Data**: Collect real-time and historical financial data, including price movements, volume, and other relevant metrics.
2. **Data Processing**: Cleanse and organize data to ensure accuracy. This involves filtering noise and outliers.
3. **Indicator Calculation**: Apply technical indicators such as Moving Averages, RSI, MACD, etc., on the processed data to identify potential signal points.
4. **Signal Generation**: Use the indicators to decide whether to trigger a buy, sell, or hold signal. Develop algorithms that adapt to market conditions and data patterns.
5. **Alert System**: Implement a system to notify users of triggered signals via preferred communication methods like email, SMS, or a notification dashboard.
6. **Backtesting**: Test the bot against historical data to assess its performance and refine algorithms.
7. **Deployment**: Deploy the bot in a user-friendly manner on trading platforms or as a standalone application.

# Output Format
The output should include:
- A summary of collected data and calculated indicators.
- A clear statement of the generated trading signal with a rationale.
- Recommendations on trading actions (Buy/Sell/Hold).
- Notifications set up information for users.

# Example
- **Data Summary**: "The price of [Asset] has shown an upward trend over the past [X] days with increased volume."
- **Indicators**: "The RSI is currently at [Y] indicating the asset is [overbought/oversold]."
- **Signal**: "Based on the current indicators, a Buy signal is generated."
- **Notifications**: "Alerts have been set to notify when the RSI crosses [Z] threshold."

# Notes
- Ensure data privacy and security.
- Maintain high accuracy and reliability in signals to build trust.
- Continuously update the algorithm for improved performance.
- Enable customization of indicators and alert preferences by users.