liquidity sweep learning coach

    by nowrich

    1

    Identify and validate liquidity sweeps using structural context, confirmation rules, and invalidation criteria.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Price just wicked above the $110 resistance but closed back at $108. The 4H trend is bearish. Is this a valid sweep and what is my confirmation?

    Your agent does

    Context: Bearish. This is a potential Range High Sweep. Confirmation: Wait for a 15m break of the recent swing low or a failed retest of $110 as resistance. Invalidation: A candle close and hold above $110.20. Verdict: Valid setup if the lower timeframe structure breaks bearish.

    What you get

    Differentiate between liquidity grabs and breakout continuations.Align intraday sweep setups with higher-timeframe market bias.Define precise invalidation points for stop-run trade setups.Verify market structure shifts before committing to a reversal trade.

    About this skill

    The problem

    Traders often mistake every long wick for a reversal signal, leading to premature entries and frequent stop-outs. Without structural context and confirmation, it is impossible to distinguish a liquidity sweep from a genuine breakout continuation.

    What it does

    • Identifies high-probability liquidity pools including equal highs, lows, and range boundaries.
    • Evaluates market context by aligning local price action with higher-timeframe bias (Daily/4H).
    • Enforces strict confirmation requirements like market structure shifts and character changes (CHoCH).
    • Defines explicit invalidation criteria to prevent holding losing trades when a sweep thesis fails.

    Why this beats prompting it yourself

    Generic LLMs often treat any price spike as a reversal signal. This skill implements a disciplined framework that requires multi-step verification, preventing the "every wick is a signal" bias and ensuring technical analysis follows professional risk management standards.

    Use cases

    • Analyze recent price action to determine if a move was a stop run or a breakout.
    • Validate potential trade setups by checking for higher-timeframe alignment.
    • Draft trading plans with predefined entry triggers and invalidation levels.
    • Audit historical charts to identify recurring liquidity patterns in specific assets.

    Known limitations

    Requires manual identification of liquidity levels or chart data input. Does not account for real-time news events that may override technical structures.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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