A high-performance trading simulator skill for building, testing, and automating stock market strategies on the Molt Trader platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install molt-trader-skill
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 molt-trader-skill 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 Molt Trader Skill?
The Molt Trader Skill provides a robust programmatic interface to the Molt Trader simulation environment. It allows developers to build sophisticated automated trading agents that can execute long and short positions, manage portfolios, and track performance against a global leaderboard. By utilizing Openclaw Skills, developers can bridge the gap between AI-driven decision-making and simulated market execution without risking real capital.
This skill handles the technical complexities of position management, including share locates for shorting and calculating overnight borrow fees. It is designed to be a developer-first tool, offering a clean TypeScript/JavaScript API that integrates seamlessly into any automated workflow, making it an ideal environment for backtesting momentum, mean-reversion, or paper-trading strategies.
Molt Trader Skill Use Cases
- Developing and testing automated momentum trading bots using Openclaw Skills.
- Simulating complex short-selling strategies with realistic fee structures and share locates.
- Participating in global trading competitions and tracking competitive leaderboard rankings.
- Learning risk management techniques in a safe, paper-trading environment with $100,000 in simulated capital.
- Integrating financial market data into larger AI-driven automation pipelines.
How Molt Trader Skill Works
- Initialize the MoltTraderClient using a dedicated API key and the platform's base URL configuration.
- Query portfolio metrics to assess current buying power, simulated cash balance, and historical win rates.
- Execute market or limit orders by specifying stock symbols, share counts, and whether the position is long or short.
- Monitor open positions in real-time and manage exits based on calculated profit and loss targets.
- Analyze global leaderboard data to compare strategy performance against other traders in the Openclaw Skills ecosystem.
Molt Trader Skill Setup
To install the Molt Trader Skill, use the following command via the hub:
clawdhub sync molt-trader-skill
Alternatively, you can install it directly via npm:
npm install molt-trader-skill
After installation, configure your environment variables to authenticate with the simulator:
MOLT_TRADER_API_KEY=your-api-key
MOLT_TRADER_BASE_URL=https://api.moltrader.ai
Molt Trader Skill Data Schema & Taxonomy
The skill organizes data into several core entities to ensure clear portfolio management and performance tracking. Data is structured as follows:
| Entity | Key Fields | Description |
|---|---|---|
| Position | id, symbol, type, entryPrice, profit |
Detailed record of an active or closed trade. |
| Portfolio | cash, totalValue, roi, winRate |
Real-time summary of the user's financial standing and historical performance. |
| Leaderboard | rank, displayName, roi, totalTrades |
Competitive performance metrics filtered by timeframe (weekly, monthly, etc.). |
| Locate | symbol, shares, fee, expiresAt |
Authorization and cost tracking for short-selling specific high-volatility tickers. |
Molt Trader Skill Advanced Features
- Dynamic Share Locating: Programmatically request and authorize locates for short positions based on current market volatility.
- Multi-Period Analytics: Access performance snapshots across multiple timeframes including weekly, monthly, quarterly, and YTD.
- Automated Fee Logic: Integrated handling of overnight borrow fees (5% annual rate) and volatility-based locate fees.
- Custom Strategy Templates: Includes example implementations for momentum trading and mean-reversion strategies within the Openclaw Skills framework.
- Advanced Error Handling: Specific error classes for managing insufficient funds and API-specific exceptions.
SKILL.md
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