I’ve been building a crypto signal system for the past months, and I ran into something I didn’t expect:

    Most signal apps don’t fail because of bad indicators, they fail because of bad data.

    When volatility spikes:

    – APIs fail

    – candle data gets inconsistent

    – some apps silently switch to synthetic or incomplete data

    And that leads to the worst possible outcome:

    → false confidence

    I tested this by simulating failures and watching how signals behaved.

    What I found:

    – signals during unstable data are often worse than random

    – many systems don’t distinguish between real vs fallback data

    – alerts keep firing even when the data isn’t trustworthy

    So I changed the approach entirely.

    Instead of trying to “always have data”, I built a system that:

    – only trusts real market candles

    – falls back to previously cached real data (if still fresh)

    – completely blocks event signals if data isn’t reliable

    In some cases, it will "not send anything at all", which is actually safer.

    It also adjusts behavior based on context:

    – fast signals for short-term

    – confirmation from higher timeframes

    – more conservative behavior under stress

    Curious how others here think about this.

    Do you trust signal apps during high volatility?

    Most crypto signal apps break when the market gets volatile, I found out why
    byu/International-Owl-30 inCryptoMarkets



    Posted by International-Owl-30

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