indicator confluence reality check

    by nowrich

    1

    A technical analysis filter that separates meaningful indicator confluence from redundant signal noise.

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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

    Analyze this setup: Price at $150 (key resistance), RSI at 75, MACD bullish cross, price above 20MA and VWAP, volume is 20% below average.

    Your agent does

    Price structure: Testing major resistance zone (+2). Volume: Weak participation (-1). VWAP/MA: Price above both, but highly correlated signals (0). RSI/MACD: Overbought with bullish cross, redundant momentum (0). Confluence Score: 1. Verdict: Indicator noise. Lack of volume at resistance suggests a trap.

    What you get

    Identify redundant signals that provide no new information.Calculate a Confluence Score to quantify trade quality.Filter out low-volume indicator signals that lack conviction.Prioritize price structure over lagging oscillators in analysis.

    About this skill

    The problem

    Traders often fall into the "echo chamber" trap, where multiple indicators like RSI, MACD, and MAs all signal the same direction but provide zero independent confirmation because they are derived from the same price data. This leads to false confidence in redundant signals and poor risk management.

    What it does

    • Identifies and filters out redundant indicators that simply echo the same underlying price move.
    • Categorizes signals into momentum-based, position-based, and structural types to ensure diversity of evidence.
    • Calculates a weighted Confluence Score (+2 to -1) based on signal quality, volume participation, and price structure.
    • Prioritizes price structure and volume over lagging oscillators to anchor analysis in reality.

    Why this beats prompting it yourself

    Most basic prompts treat all indicators as equal, leading to "signal bloat." This skill applies a specific logical framework to discount correlated oscillators and force a skeptical review of your technical analysis setup, ensuring you only act on truly independent data points.

    Use cases

    • Verifying if a "bullish" indicator stack is just a single price move reflected in five different ways.
    • Filtering out low-volume breakouts that lack institutional participation.
    • Scoring trade setups to maintain discipline and avoid over-trading noise.
    • Distinguishing between simple mean reversion and high-quality trend exhaustion using divergence analysis.

    Known limitations

    Higher timeframe signals will always carry more weight than lower timeframe noise. Does not account for fundamental news events or external market shocks.

    How to install

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

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