Practical workflows and examples for using Superior Trade through agents.
Designed for copy-paste usage, especially in OpenClaw-style environments where users want a fast path from prompt to structured trading workflow.
- OpenClaw users
- Agent operators
- Prompt-first traders
- Developers testing strategy workflows through natural language
These examples require the Superior Trade skill. Install it using any of these methods:
Prompt your agent:
Get strategy trading skills from https://superior.trade/SKILL.md
Or install from ClawHub: clawhub/superior-ai/superior-trade
Or manually: Copy the SKILL.md file into your agent's skill directory.
Start with a narrow objective.
Good starting points:
- Backtest a BTC strategy using RSI
- Create a SOL breakout system with stop loss
- Run a low-volume altcoin short setup
- Define a trading workflow that always backtests before live deployment
Use the examples as templates and adapt them to your own pair, timeframe, and risk profile.
| Prompt | Description | Link |
|---|---|---|
| S&P 500 DCA | Dollar-cost averaging strategy on the S&P 500 index via Hyperliquid HIP3 | s&p500-dca.md |
| Prompt | Description | Link |
|---|---|---|
| Contrarian Agent | Self-learning contrarian trading agent with journal-based memory and twice-daily scheduling | contrarian-agent.md |
| Nansen Smart Money Signal | Signal-driven agent that scores Nansen smart money flow, picks the highest-conviction pair, and auto-rotates every 4 hours | nansen-smart-money.md |
| Prompt | Description | Link |
|---|---|---|
| Multi-Account Management | Manage multiple Superior Trade accounts from a single agent session | multi-account.md |
The goal is not theory. The goal is making it easy for users and agents to move from idea → structured request → backtest-ready workflow.
- superior-skills — The skill file and main documentation
- superior-api — API documentation and test cases
- superior-mcp — MCP integration layer