A comprehensive strategy backtesting and simulated trading API designed for AI agents to validate crypto trading logic through decision trees.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nofa-backtest
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install nofa-backtest 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 NOFA Crypto Backtesting & Simulated Trading?
The NOFA skill provides a robust framework for developers building Openclaw Skills to integrate professional crypto trading strategy validation. It allows AI agents to construct complex trading logic using a Strategy Tree schema, incorporating technical indicators like RSI, EMA, and MACD. The service bridges the gap between theoretical strategy design and live execution by offering both historical backtesting and real-time dry-run trading environments.
By leveraging this skill, developers can enable their agents to perform risk management calculations, assess Sharpe ratios, and optimize win rates without exposing capital. It is particularly effective for multi-agent systems where one agent generates strategy ideas and another validates them against historical market data via the NOFA API.
NOFA Crypto Backtesting & Simulated Trading Use Cases
- Backtesting historical crypto market data using technical indicators to prove strategy viability.
- Launching simulated dry-run trading sessions that use real-time market data with virtual wallets.
- Validating decision tree logic and risk management parameters before moving to live exchanges.
- Automating the optimization of trading parameters like stop loss and take profit through iterative backtesting.
How NOFA Crypto Backtesting & Simulated Trading Works
- Agent Registration: The agent registers with the NOFA service to receive a unique API key used for Bearer authentication.
- Strategy Construction: The agent builds a StrategyTree JSON object defining technical indicators, logical conditions (IF/THEN), and action blocks.
- Validation: The strategy is sent to the validation endpoint to ensure it meets the structural and logic requirements.
- Execution: The agent initiates either a historical backtest for a specific date range or a live dry-run session.
- Analysis: The API returns detailed KPIs including win rate, max drawdown, and total PnL, along with a complete trade ledger for the agent to analyze.
NOFA Crypto Backtesting & Simulated Trading Setup
To start using this skill within your Openclaw Skills workflow, register your agent and secure your API key:
# Register your agent to get an API key
curl -X POST https://api-dev.reclaw.xyz/api/v1/agents/register \
-H "Content-Type: application/json" \
-d '{"name": "TradingAgent", "description": "Strategy analysis agent"}'
# Set your API key as a Bearer token in your environment
export NOFA_API_KEY="your_api_key_here"
NOFA Crypto Backtesting & Simulated Trading Data Schema & Taxonomy
The skill utilizes a structured JSON schema to define trading logic and report results:
| Component | Description |
|---|---|
| StrategyTree | The root configuration containing risk management and the main decision node. |
| IfElseBlock | Logic nodes defining condition types (Compare/Cross) and actions (Then/Else). |
| ConditionItem | Specific triggers using indicators like RSI, EMA, MACD, or Bollinger Bands. |
| ActionBlock | Execution details including symbol, direction (LONG/SHORT), leverage, and allocation. |
| KPIs | Performance metrics returned after execution: total_trades, win_rate, total_pnl, sharpe_ratio. |
NOFA Crypto Backtesting & Simulated Trading Advanced Features
- x402 Protocol Integration: Access premium features through XRPL payment-gated endpoints for high-frequency or large-scale testing.
- Nested Decision Logic: Support for complex, multi-layered IF-ELSE structures to handle various market regimes.
- Real-time Session Management: Monitor live open trades, free balance, and cumulative profit through dedicated session endpoints.
- Conversational Generation: Integration-ready for agents to translate natural language prompts into machine-executable strategy JSON.
SKILL.md
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