Trading with Python - Options Chain Analyzer

A comprehensive Python-based GUI application for real-time options trading analysis, specifically designed for Indian stock market indices (NIFTY and BANKNIFTY). This application provides live options chain data with advanced Open Interest (OI) analysis using Zerodha's KiteConnect API.

🚀 Features

Core Functionality

Real-time Options Chain Display: Live options data for NIFTY 50 and BANKNIFTY indices
Open Interest Analysis: Advanced OI tracking with change indicators
Multi-timeframe Support: 5min, 10min, 15min, 30min, 60min, and daily charts
Visual OI Indicators: Color-coded display based on OI changes
Historical Data Integration: 7-day historical data for trend analysis
Auto-expiry Detection: Automatic calculation of option expiry dates

Visual Interface

Interactive GUI: Built with tkinter for cross-platform compatibility
Scrollable Options Chain: Handle large number of strike prices
Color-coded Analysis:
- 🟢 Green: High OI increase (>500,000)
- 🔴 Red: OI decrease
- 🟠 Orange: Moderate changes
Real-time Updates: Live market data refresh

📋 Prerequisites

Required Dependencies

# Install from requirements file
pip install -r requirements.txt

# Or install manually:
pip install kiteconnect>=4.0.0
pip install python-dateutil>=2.8.0

# Note: tkinter and sqlite3 are usually included with Python

API Requirements

Zerodha Kite API Account: You need an active Zerodha trading account
API Key & Secret: Obtain from Zerodha Developer Console
Request Token: Generated during authentication process

🔧 Setup Instructions

1. API Configuration

Login to Kite Connect Developer Console
Create a new app and get your api_key and api_secret

Update the following lines in API.PY:

kite=KiteConnect(api_key="YOUR_API_KEY_HERE")
data=kite.generate_session(request_token,api_secret="YOUR_API_SECRET_HERE")

2. Install Dependencies

# Install required packages
pip install -r requirements.txt

3. Running the Application

cd "TRADING list"
python API.PY

🖼️ Application Interface

Main Window Components

The application interface consists of several key areas:

Top Control Panel:
- Connection Status: Red "NOT CONNECTED" button (changes to green "CONNECTED")
- Index Selector: Dropdown to choose between NIFTY and BANKNIFTY
- Expiry Selector: Dropdown with available expiry dates
- Timeframe Selector: Choose from 5min to daily intervals
- Option Chain Button: Generate the options chain display
Options Chain Display:
```
[CE_OI] [LTP] [CHANGE] [STRIKE] [LTP] [CHANGE] [PE_OI]
```
- Left Side (CE): Call options data
- Center (STRIKE): Strike prices with current price highlighted
- Right Side (PE): Put options data
Color Coding System:
- Spring Green: Current market price strike
- Pale Green: High positive OI change (>500K)
- Red: Negative OI change
- Orange/Tomato: Moderate OI changes

Authentication Flow

Click "NOT CONNECTED" button
Popup window appears requesting Kite token
Enter your request token and click "SUBMIT"
Button updates to show "CONNECTED" status
Expiry dates populate automatically

📊 How It Works

Application Workflow

Authentication Process
- Click "NOT CONNECTED" button
- Enter your Kite request token
- Application authenticates and fetches available expiries
- Button changes to "CONNECTED" (green)
Options Chain Setup
- Select index: NIFTY or BANKNIFTY
- Choose expiry date from dropdown
- Select timeframe for analysis
- Click "OPTION CHAIN" to generate data
Data Display Structure
```
CE_OI | LTP | CHANGE | STRIKE | LTP | CHANGE | PE_OI
```
- CE: Call Options (Left side)
- PE: Put Options (Right side)
- OI: Open Interest values
- LTP: Last Traded Price
- CHANGE: OI change from previous period

Technical Implementation

Key Components

Main GUI Window (root)
- 700x550 pixel window with black background
- Uses winnative theme for professional appearance
Authentication System (connectZerodha())
- Popup window for token entry
- Session generation with Kite API
- Access token management
Expiry Calculation (expiry())
- Fetches current market price
- Rounds to nearest 100 (BANKNIFTY) or 50 (NIFTY)
- Calculates available expiry dates (30-day scan)
Options Chain Generation (optionChain())
- Creates scrollable frame with strike prices
- Fetches 20 strikes around current market price
- Displays Call and Put options symmetrically
Open Interest Analysis (oi_data())
- Fetches 7-day historical data
- Calculates OI changes
- Applies color coding based on significance

Performance Optimization

Multi-threading: Separate threads for OI data fetching
Batch API Calls: Multiple instruments fetched in single request
Efficient UI Updates: Direct widget manipulation

Color Coding Logic

if (oi_change > 500000):
    color = "palegreen"      # Significant bullish/bearish activity
elif (oi_change < 0):
    color = "red"           # Decreasing interest
else:
    color = "tomato1"       # Moderate activity

🎯 Usage Guide

Step-by-Step Operation

Initial Setup
- Launch the application
- Click "NOT CONNECTED" button
- Enter your Kite request token
- Wait for "CONNECTED" status
Market Analysis
- Select NIFTY or BANKNIFTY from dropdown
- Choose desired expiry date
- Select analysis timeframe
- Click "OPTION CHAIN"
Reading the Data
- Green Strikes: High activity zones (>500K OI change)
- Red Strikes: Reducing interest
- Current Price: Highlighted in springgreen
- Strike Price: Center column shows exercise prices
Interpretation Tips
- High Call OI: Potential resistance level
- High Put OI: Potential support level
- OI changes: Direction of market sentiment

🔍 Advanced Features

Multi-threading Implementation

The application uses threading for:

Non-blocking UI updates
Parallel data fetching
Improved response times

Error Handling

API connection failures
Invalid token management
Market data unavailability
Date calculation edge cases

🔧 Troubleshooting

Common Issues

"Module not found" errors

# Install all dependencies
pip install -r requirements.txt

# For tkinter on Ubuntu/Debian
sudo apt-get install python3-tk

Authentication failures
- Verify API key and secret are correct
- Check if request token is fresh (expires quickly)
- Ensure Zerodha account has API access enabled
No data showing
- Check market hours (9:15 AM - 3:30 PM IST)
- Verify network connectivity
- Check Zerodha API status
GUI not responsive
- Close and restart application
- Check system resources
- Verify threading is working properly

Development Notes

Run the validation script to check setup:

python validate.py

⚠️ Important Notes

Market Hours

Application works during NSE trading hours (9:15 AM - 3:30 PM IST)
After-hours data may be limited or delayed

Rate Limits

Zerodha API has rate limits (3 requests/second)
Application includes appropriate delays

Data Accuracy

Real-time data subject to exchange delays
OI data updates every few minutes during market hours

🛠️ Technical Architecture

Dependencies

GUI Framework: tkinter (cross-platform)
API Client: kiteconnect (Zerodha official)
Date Handling: datetime, dateutil
Threading: Python threading module
Data Storage: sqlite3 (for future enhancements)

File Structure

Trading-with-python/
├── README.md
└── TRADING list/
    └── API.PY          # Main application file

Key Classes and Functions

connectZerodha(): API authentication
expiry(): Expiry date calculation
optionChain(): Main options chain display
oi_data(): Open Interest analysis
startThread(): Threading management

🚨 Disclaimer

This application is for educational and analysis purposes only. Always:

Verify data accuracy before trading decisions
Understand market risks
Consult financial advisors for investment decisions
Test thoroughly in paper trading before live use

📝 License

This project is provided as-is for educational purposes. Users are responsible for their own trading decisions and API usage compliance.

🤝 Contributing

Feel free to submit issues, fork the repository, and create pull requests for improvements.

Note: Ensure you have proper API credentials and understand the associated costs before using this application for live trading analysis.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
TRADING list		TRADING list
README.md		README.md
requirements.txt		requirements.txt
validate.py		validate.py

mst-rajatmishra/Trading-with-python

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