Python SDK for AlgoGTT Strategy Export API
Project description
AlgoGTT SDK
Official Python SDK and CLI for interacting with AlgoGTT.
Installation
To install the SDK for the first time:
pip install algogtt
To upgrade an existing installation to the latest version:
pip install --upgrade algogtt
CLI Usage
export ALGOGTT_API_KEY="your_api_key_here"
# Extract parsing example scripts into your current directory
algogtt init
# Run analysis and execution commands
algogtt analyze --symbol NIFTY
algogtt report --symbol BANKNIFTY
algogtt execute --symbol NIFTY --action BUY --capital 100000
# Override the URL for local testing
algogtt analyze --symbol NIFTY --url http://localhost:8000
SDK Usage
from algogtt import SwingClient
client = SwingClient(api_key="your_api_key_here")
result = client.analyze("NIFTY")
print(result["total_pnl"])
Examples & Parsing Data
The strategy returns much more than just trades—it includes OHLCV candle data, strategy indicators (like MMM components), trailing stop loss activation levels, and explicit buy/sell signals for backtesting.
Check out the examples/ directory for sample scripts:
- parse_trades.py: Python script to parse and format basic trade executions.
- parse_signals.py: Python script showing how to export the full candlestick data with strategy indicators into a Pandas DataFrame.
- parse_trades.js: Node.js/JavaScript
fetchexample (useful for React Native / Expo mobile apps). - No-Code Excel Guide: Learn how to use Power Query to pull live JSON directly into your spreadsheet automatically.
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