Custom Trading Watchlist Rule Engine

Manual watchlist monitoring is prone to human error, emotional bias, and missed triggers. This skill functions as a senior trading systems analyst to convert natural-language market conditions into precise, executable rule specifications for stocks, ETFs, forex, and other assets.

What it does

• Rule Normalization transforms vague strategies into technical specifications including thresholds, operators, and timeframes.
• Logic Engineering builds complex multi-condition monitors using AND/OR operators and multi-timeframe confirmation.
• Data Evaluation processes supplied market data to determine triggered, pending, or unknown states without look-ahead bias.
• Trigger Management defines cooldowns, re-arm conditions, and duplicate suppression to prevent alert fatigue.
• Candidate Ranking prioritizes instruments based on relative volume, trend alignment, or user-defined severity.

How it works

1. Define Objective by submitting a list of tickers and the specific setups you want to track, such as breakouts or mean reversals.
2. Review Specifications as the agent translates your request into technical rules with explicit evaluation modes like candle-close or intrabar.
3. Supply Data for the agent to run an evaluation, or use the generated logic to configure your own scanning software.
4. Analyze Report to see which instruments passed, which failed, and which have missing data gaps.

Frameworks & tools

This tool is platform-agnostic and works with any market data source providing OHLCV, indicators, or fundamental fields. It outputs logic suitable for implementation in Python (Pandas/TA-Lib), Pine Script, or specialized scanning platforms.

Why this beats prompting it yourself

Generic LLMs often overlook critical trading details like look-ahead bias, candle-close confirmation, and alert cooldown logic. This skill enforces strict system design principles, ensuring every rule has a clear re-arm condition and handles missing data without returning false positives.

Use cases

• Breakout Monitoring to track when price exceeds a 20-day high with 1.5x relative volume.
• Trend Confirmation requiring daily moving average alignment plus RSI momentum on an hourly chart.
• Relative Strength Scans to find equities outperforming a benchmark index during market pullbacks.
• Systematic Auditing to evaluate how a specific set of rules would have triggered against historical price data.

Known limitations

Does not include a live market data feed or broker API connection. Cannot place trades or send push notifications without external tool integration. Logic is for monitoring, not financial advice.