deploy-live-trading

Name: deploy-live-trading
Availability: InStock
Author: RoboNet

Deploy live trading strategies to Hyperliquid with pre-deployment validation and risk monitoring.

1|Updated Feb 2, 2026

Search Tags:#deploy #risk-management #backtesting #live-trading #deployment-create #credit-balance #Hyperliquid

Ready to run

npx skills add https://github.com/robonet-tech/skills --skill deploy-live-trading

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: deploy-live-trading
Source: https://github.com/robonet-tech/skills/tree/main/skills/deploy-live-trading
Command: npx skills add https://github.com/robonet-tech/skills --skill deploy-live-trading

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deploy live trading strategies to Hyperliquid and manage ongoing risk.

Core Features & Use Cases

Pre-deployment validation and risk controls (backtest duration, Sharpe ratio, max drawdown, monitoring plan, exit criteria) to ensure readiness before going live.
Deployment lifecycle tools (creation, listing, starting, stopping) to manage one or more strategies across EOA and Vault deployments.
Account and cost management (checking credit balance and transactions) to govern deployment spend.
Support for multiple deployment types (Externally Owned Account and Hyperliquid Vault) with their respective requirements and limits.
Post-deployment monitoring and red-flag responses (stopping deploys on excessive drawdown, performance deterioration, or technical issues).

Quick Start

Load the tools: Use MCPSearch to select: mcp__workbench__deployment_create, mcp__workbench__deployment_list, mcp__workbench__deployment_stop.
Complete pre-deployment checklist (backtest > 6 months, Sharpe > 1.0, drawdown < 20%, risk management in place, monitoring plan, exit criteria, conservative starting capital).
Check credits: get_credit_balance() → Balance: [current balance] USDC.
Deploy a strategy: deployment_create(strategy_name="YourStrategy", symbol="BTC-USDT", timeframe="1h", leverage=1, deployment_type="eoa").
Monitor and manage: deployment_list() to view status; deployment_stop(deployment_id="ID") to halt if red flags appear; perform post-deployment review after the first week.

Frequently Asked Questions about deploy-live-trading

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I deploy a live trading strategy to Hyperliquid?▼

To deploy live trading strategies to Hyperliquid, use deployment creation tools to configure the strategy name, symbol, timeframe, leverage, and deployment type, then validate pre-deployment risk criteria before starting.

What risk management criteria are required before going live with a trading deployment?▼

Pre-deployment risk validation requires a backtest exceeding 6 months, a Sharpe ratio above 1.0, maximum drawdown under 20%, a defined monitoring plan, exit criteria, and conservative starting capital to ensure safe live operation.

Can I manage multiple live trading deployments on Hyperliquid at the same time?▼

Yes, you can manage single or multiple live trading deployments simultaneously using deployment lifecycle tools to create, list, start, and stop strategies across both EOA and Vault deployment types.

How do I check my USDC credit balance for Hyperliquid trading deployments?▼

You can check your credit balance for live trading deployments by using the credit balance tool, which returns the current available USDC balance to govern deployment spend.

When should I stop a live trading deployment?▼

You should stop a live trading deployment using the deployment stop tool when red flags appear, such as excessive drawdown, performance deterioration, or technical issues during post-deployment monitoring.

Does deploying to a Hyperliquid Vault have different requirements than an EOA deployment?▼

Yes, Hyperliquid Vault and Externally Owned Account deployment types have respective requirements and limits, but both require passing pre-deployment validation and maintaining active risk monitoring.