OpenAlgo Executor for Openclaw

A high-performance interface for managing automated trading operations and market data retrieval through the OpenAlgo API.

anthonyabraham1379-pixel
v1.0.0
Apr 8, 2026
0
718
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install openalgo-executor

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install openalgo-executor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is OpenAlgo Executor?

The OpenAlgo Executor is a sophisticated skill designed to bridge the gap between AI coding agents and financial markets. By integrating this capability into your workflow via Openclaw Skills, developers can programmatically execute market and limit orders, monitor real-time portfolio positions, and query live symbol quotes. This skill serves as a robust wrapper around the OpenAlgo API, transforming complex trading logic into actionable, human-readable commands that any AI agent can handle.

Whether you are building an autonomous trading bot or a financial research assistant, this skill provides the necessary plumbing to interact with trading backends securely and efficiently. As part of the broader ecosystem of Openclaw Skills, it emphasizes ease of use, allowing for both local development and remote deployment via custom API endpoints.

OpenAlgo Executor Use Cases

  • Automating market buy and sell orders for cryptocurrencies such as SOL, BTC, or ETH.
  • Placing precision limit orders at specific price targets to optimize entry and exit points.
  • Monitoring active portfolio risk by retrieving all current open positions in real-time.
  • Gathering live market intelligence through symbol quote retrieval to inform automated decision-making.
  • Scaling trading infrastructure by connecting to remote OpenAlgo instances via ngrok tunnels.

How OpenAlgo Executor Works

  1. The AI agent initiates a command using the run_command function with specific parameters like symbol, action, and quantity.
  2. The request is processed by the internal openalgo_client.py script located in the project's directory.
  3. The skill establishes a connection to the OpenAlgo API endpoint, which defaults to localhost but can be overridden.
  4. The OpenAlgo API executes the requested financial transaction or data query on the connected exchange.
  5. Success or failure responses are returned to the Openclaw Skills environment, allowing the agent to react to market conditions or execution status.

OpenAlgo Executor Setup

To get started with this skill, ensure that the openalgo_client.py script is present in your scripts directory. This script acts as the primary driver for all API interactions. You can verify the installation by running a simple quote command through the CLI interface.

# Check if the script is in place
ls scripts/openalgo_client.py

# Run a test quote command
openalgo-executor.run_command("quote --symbol BTCUSD")

If you are using a remote server or an ngrok tunnel, ensure you have the URL ready to pass as an argument in your commands.

OpenAlgo Executor Data Schema & Taxonomy

The skill organizes its operations through a structured set of CLI arguments that map directly to trading API parameters. Below is the primary schema for order and data operations:

Argument Description Default / Type
--symbol The ticker or trading pair (e.g., BTCUSD) String (Required)
--action The trade direction (buy or sell) String (Required for orders)
--quantity The volume or amount to trade Numeric (Required for orders)
--type The execution logic (market or limit) market (Default)
--price The execution price for limit orders Numeric
--url The target OpenAlgo API endpoint http://localhost:5000 (Default)

OpenAlgo Executor Advanced Features

  • Custom Endpoint Support: Use the --url flag to connect to any reachable OpenAlgo instance, facilitating remote or cloud-based trading setups within Openclaw Skills.
  • Limit Order Precision: Sophisticated price targeting for advanced entry and exit strategies beyond simple market orders.
  • Real-time Position Tracking: Instant access to current market exposure for dynamic risk management and automated portfolio rebalancing.
  • Extensible Scripting: The underlying Python client can be modified to support additional OpenAlgo endpoints as the trading platform evolves.

SKILL.md


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