Vincent - Trading Engine for agents

What This Skill Does

Vincent is a professional-grade automated trading engine designed specifically for Polymarket prediction markets. It bridges the gap between raw data streams and automated execution by combining real-time market monitoring with LLM-powered strategic analysis. The engine operates on two distinct levels: autonomous LLM-driven strategies that ingest signals from web searches, social media, and news feeds to refine market theses, and deterministic standalone trade rules such as stop-loss, take-profit, and trailing stops. By leveraging Vincent’s secure infrastructure, users can build sophisticated, event-driven trading logic that responds to world events faster than manual intervention allows.

Installation

To integrate the Vincent Trading Engine into your OpenClaw environment, use the following CLI command:

clawhub install openclaw/skills/skills/glitch003/vincent-trading-engine

Ensure that your Polymarket credentials are configured within the Vincent settings, as the engine utilizes the shared API backbone for executing orders and managing positions.

Use Cases

• Event-Driven Trading: Automatically adjust positions on election outcome markets based on breaking news from Twitter and live newswire updates.
• Risk Mitigation: Set automatic trailing stops to lock in gains during high-volatility events without needing to watch the market 24/7.
• Thesis-Based Automation: Define a long-term belief about a specific market and let the LLM monitor conflicting or supporting information, updating your portfolio exposure according to your risk parameters.
• Systematic Rebalancing: Maintain target allocation ratios in prediction portfolios by triggering trades based on specific price thresholds or news sentiment shifts.

Example Prompts

1. "Vincent, monitor the upcoming federal reserve announcement. If news sentiment for a rate hike stays above 70%, open a long position with a $500 limit and a trailing stop of 5%."
2. "Set a strict stop-loss at 10% and a take-profit at 25% for my current position in the 2024 Presidential Election market."
3. "Create a trading strategy for the Bitcoin price market. Use Twitter sentiment and the latest price feeds. If the LLM identifies a strong bullish signal, execute a trade, but keep my daily loss limit at $100."

Tips & Limitations

• Credit Management: LLM-powered strategies incur costs based on token usage. Monitor your credit balance regularly to ensure strategies remain active.
• Safety Boundaries: Always define clear spending limits. Even with AI control, the engine operates within the strict parameters defined in your strategy configuration.
• Audit Trails: Utilize the built-in audit logs to review every decision the LLM has made. This is essential for fine-tuning your prompts and signal drivers.
• Independence: While the LLM is powerful, standalone trade rules are deterministic and do not consume credits or require LLM processing; use them for core risk management.