forex pair selection coach
A structured framework for selecting forex pairs based on liquidity, volatility, and session overlaps.
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Works with the AI tools you already use
See it in action
You say
I trade the London/NY overlap and want moderate volatility. I'm currently looking at EUR/USD, GBP/USD, and USD/JPY. Check these for correlations and events.
Your agent does
Watchlist Analysis: 1. Session: All three align with London/NY. 2. Correlation: EUR/USD and GBP/USD have high positive correlation. Keep EUR/USD; remove GBP/USD to avoid double exposure. 3. Volatility: All moderate. Final Watchlist: EUR/USD and USD/JPY. Note: Check for US CPI at 13:30 GMT.
What you get
About this skill
The problem
Beginner traders often lose capital by overtrading exotic pairs or entering positions during low-liquidity hours. Without a structured selection process, they face unpredictable slippage, high spreads, and unintended risk amplification through correlated assets.
What it does
- Evaluates currency pairs against six core metrics: liquidity, spread, session overlap, volatility, correlation, and event exposure.
- Filters out high-cost exotic pairs to prioritize major pairs with tighter spreads and reliable patterns.
- Matches pair volatility and session activity to your specific trading schedule and risk tolerance.
- Identifies positive and negative correlations to prevent accidental doubling of market exposure.
- Cross-references economic calendars to avoid high-impact news events that trigger stop-losses.
Why this beats prompting it yourself
Generic prompts often fail to account for the technical relationship between session overlaps and liquidity. This skill applies a specific 8-step filtering sequence that mirrors professional risk management workflows, ensuring you don't just get a list of pairs, but a data-driven watchlist tailored to your local timezone.
Use cases
- Building a focused daily watchlist of 3-5 pairs based on current market sessions.
- Auditing an existing portfolio to remove highly correlated positions that increase risk.
- Selecting optimal pairs for a specific trading window, such as the London/New York overlap.
- Filtering out pairs with imminent high-impact economic news releases like CPI or NFP.
Known limitations
Requires the user to provide current economic calendar data or ATR values for real-time filtering. Does not provide entry/exit signals or specific price targets.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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