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Stop Loss Check

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felixwayne0318·vlatest·other

This "Stop Loss Check" verifies if your current stop-loss order is appropriately placed to manage risk and protect profits based on market fluctuations.

Repository

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This skill no longer installs under the name stop-loss-check. felixwayne0318/aitrader is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

felixwayne0318

Taken from the source listing. We haven't verified who controls this account.

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About this skill

What it does

This skill, stop-loss-check, allows an AI agent to verify and adjust stop-loss orders in a trading strategy. It assesses current market conditions against pre-defined stop-loss levels and suggests modifications to protect capital and optimize potential gains. The tool is designed for automated trading systems or agents requiring dynamic risk management.

When to use it

  • Market Volatility: Use when experiencing high volatility to ensure stop-losses remain effective in protecting profits or limiting losses.
  • Trend Reversals: Employ after a significant price movement to re-evaluate and potentially adjust stop-loss levels based on new support/resistance points.
  • Automated Trading Systems: Integrate into automated trading systems for continuous, dynamic risk management without manual intervention.
  • Portfolio Review: Use during portfolio reviews to proactively identify potential risks associated with existing positions.

Key capabilities

  • Stop-loss level assessment
  • Market condition analysis
  • Stop-loss adjustment suggestions
  • Risk protection optimization

Example prompts

  • "Check the stop-loss for my long position in AAPL."
  • "Suggest a new stop-loss level for BTC given current market volatility."
  • "Evaluate if my existing stop-loss order is still appropriate for TSLA considering recent price action."

Tips & gotchas

This skill requires access to real-time or near real-time market data to function effectively. The accuracy of the suggestions depends on the quality and timeliness of this data feed.