breeze-historical 0.1.3

A library for fetching and caching historical market data from Breeze API using DynamoDB

Breeze Historical

A Python library for fetching and caching historical market data from ICICI Direct's Breeze API using DynamoDB.

Features

• Fetch historical option chain data from Breeze API
• Cache data in DynamoDB for faster subsequent access
• Support for multiple timeframes (1min, 5min, 30min, daily)
• Automatic symbol mapping between NSE and ICICI Direct
• Data interpolation for missing timestamps
• Market hours aware timestamp generation
• Verbose mode for detailed operation logging
• Handles missing data through interpolation
• Supports multiple expiry dates

Installation

pip install breeze-historical

Prerequisites

1. ICICI Direct Breeze API credentials
2. AWS credentials with DynamoDB access
3. DynamoDB table with the following schema:
   • Partition Key: contract_id (String)
   • Sort Key: ts (String)

Configuration

The library requires both Breeze API and AWS credentials:

Breeze Credentials

• api_key: Your Breeze API key
• api_secret: Your Breeze API secret
• user_id: Your Breeze user ID
• password: Your Breeze password
• totp_key: Your TOTP secret key

AWS Credentials

• access_key_id: AWS access key ID
• secret_access_key: AWS secret access key
• region: AWS region (default: "ap-south-1")
• table_name: DynamoDB table name (default: "breeze_historical")

Usage

from breeze_historical import BreezeHistorical

# Initialize credentials
breeze_creds = {
    "api_key": "your_api_key",
    "api_secret": "your_api_secret",
    "user_id": "your_user_id",
    "password": "your_password",
    "totp_key": "your_totp_key"
}

aws_creds = {
    "access_key_id": "your_aws_access_key",
    "secret_access_key": "your_aws_secret_key",
    "region": "ap-south-1",
    "table_name": "breeze_historical"
}

# Initialize client
client = BreezeHistorical(
    breeze_creds=breeze_creds,
    aws_creds=aws_creds,
    verbose=False  # Set to True for detailed operation logging
)

# Fetch option chain data
data = client.option_chain(
    symbol="BANKNIFTY",
    expiry="2024-03-28",
    start_date="2024-03-20",
    end_date="2024-03-21",
    granularity="5minute"
)

# Data format:
{
    "2024-01-01T09:15:00.000Z": {
        45000: {
            "CE": {
                "open": 100.5,
                "high": 102.0,
                "low": 99.5,
                "close": 101.0,
                "volume": 1000,
                "oi": 5000
            },
            "PE": {
                ...
            }
        },
        45500: {
            ...
        }
    },
    "2024-01-01T09:16:00.000Z": {
        ...
    }
}

Verbose Mode

The library includes a verbose mode that provides detailed logging of operations:

• Set verbose=True when initializing the client to enable detailed logging
• Logs include:
  • Client initialization status
  • Data fetching progress
  • Cache hit/miss information
  • Symbol mapping details
  • Strike price discovery
  • Data processing steps
  • Interpolation of missing data

Example with verbose mode:

client = BreezeHistorical(
    breeze_creds=breeze_creds,
    aws_creds=aws_creds,
    verbose=True  # Enable verbose mode
)

Symbol Mapping

Create a JSON file with NSE to ICICI Direct symbol mapping:

{
    "BANKNIFTY": "CNXBAN",
    "NIFTY": "CNX",
    ...
}

Error Handling

The library raises BreezeHistoricalError for various error conditions:

• Invalid date ranges
• API failures
• Authentication issues
• Data validation errors

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.