Rohithms/camarilla-levels-calculator

📊 Weekly Camarilla Levels Calculator

A LangChain-based Financial Analysis Assistant that calculates Weekly Camarilla Levels for swing trading.

What are Camarilla Levels?

Camarilla Pivot Points are a set of support and resistance levels used in technical analysis for swing trading:

• —R3/S3: Primary reversal points where price is likely to reverse
• —R4/S4: Breakout levels - if breached, expect strong momentum continuation
• —Timeframe: Weekly (using previous week's High, Low, Close)

Features

• —🎯 Automatic ticker identification from company names
• —📈 Real-time stock data fetching using yfinance
• —🧮 Precise Camarilla levels calculation (R4, R3, S3, S4)
• —💬 Conversational AI interface using LangChain agents
• —📊 Beautiful formatted output with trading strategies

Installation

# Navigate to the project folder
cd 5_camarilla

# Install dependencies
pip install -r requirements.txt

Setup

Make sure your .env file in the root project directory contains your OpenAI API key:

OPENAI_API_KEY=your-openai-api-key-here

Usage

Run the Interactive Agent

python camarilla_agent.py

Example Queries

🤔 You: Calculate Camarilla levels for AAPL

🤔 You: Show me Tesla levels

🤔 You: What are the weekly levels for Microsoft?

🤔 You: I want to analyze NVDA

How It Works

1. 1.Ticker Identification: The agent uses a custom tool to identify ticker symbols from company names
2. 2.Data Fetching: Uses yfinance to get the previous week's OHLC data
3. 3.Calculation: Applies Camarilla formula:
4. 4.R = High - Low
5. 5.R4 = Close + (R × 1.1 / 2)
6. 6.R3 = Close + (R × 1.1 / 4)
7. 7.S3 = Close - (R × 1.1 / 4)
8. 8.S4 = Close - (R × 1.1 / 2)
9. 9.Response: Formats and presents the levels with trading guidance

Architecture

User Input
    ↓
LangChain Agent (GPT-4)
    ↓
Tool Selection
    ├─→ identify_ticker (company → ticker)
    └─→ calculate_camarilla_levels (ticker → levels)
    ↓
Formatted Output

Tools

1. calculate_camarilla_levels

• —Fetches previous week's stock data
• —Calculates R4, R3, S3, S4 levels
• —Returns formatted output with strategy

2. identify_ticker

• —Maps company names to ticker symbols
• —Handles common stocks (FAANG, etc.)
• —Provides suggestions if uncertain

Trading Strategy

R3/S3 - Reversal Zones:

• —Price approaching R3: Consider selling/shorting
• —Price approaching S3: Consider buying/going long
• —High probability reversal points

R4/S4 - Breakout Levels:

• —Price breaks above R4: Strong bullish momentum, consider buying
• —Price breaks below S4: Strong bearish momentum, consider shorting
• —Indicates trend continuation

Example Output

╔══════════════════════════════════════════════════════════════╗
║  📊 WEEKLY CAMARILLA LEVELS FOR AAPL
╚══════════════════════════════════════════════════════════════╝

📅 Previous Week Data:
   • High:  $185.50
   • Low:   $180.25
   • Close: $183.75
   • Range: $5.25

📈 Camarilla Levels:
┌──────────────────────────────────────────────────────────────┐
│ Level  │  Price    │  Description                            │
├──────────────────────────────────────────────────────────────┤
│  R4    │  $186.64 │  🔴 Strong Breakout Resistance         │
│  R3    │  $185.19 │  🟡 Primary Reversal Resistance        │
│  S3    │  $182.31 │  🟡 Primary Reversal Support           │
│  S4    │  $180.86 │  🟢 Strong Breakout Support            │
└──────────────────────────────────────────────────────────────┘

💡 Trading Strategy:
   • R3/S3: Primary reversal zones - consider counter-trend trades
   • R4/S4: Breakout levels - momentum continuation if breached
   • Best for swing trading with weekly timeframe

Customization

You can modify the agent behavior by editing:

• —camarilla_agent.py: Main logic and tools
• —Camarilla multiplier: Currently 1.1, can be adjusted in the formula
• —LLM model: Change from gpt-4o-mini to gpt-4 for better performance

Limitations

• —Only supports weekly Camarilla calculations (optimized for swing trading)
• —Requires valid ticker symbols or recognizable company names
• —Depends on yfinance API availability
• —Previous week data must be available

Dependencies

• —LangChain: Agent framework and orchestration
• —OpenAI: GPT-4 for natural language understanding
• —yfinance: Real-time stock data fetching
• —python-dotenv: Environment variable management

License

MIT License - See root project LICENSE file

Contributing

Feel free to submit issues or pull requests for:

• —Additional technical indicators
• —More ticker symbol mappings
• —UI improvements
• —Performance optimizations

Happy Trading! 📈