Stochastic Extremes
Fires when the 14-period Stochastic Oscillator enters extreme zones (>80 overbought or <20 oversold) and then reverses — %K crossing %D in the direction out of the extreme. More sensitive than RSI for identifying short-term turning points, especially in ranging markets.
What is this scanner?
Fires when the 14-period Stochastic Oscillator enters extreme zones (>80 overbought or <20 oversold) and then reverses — %K crossing %D in the direction out of the extreme. More sensitive than RSI for identifying short-term turning points, especially in ranging markets.
The Stochastic Extremes scanner operates across 1h, 4h timeframes and refreshes every 60 seconds, ensuring you see fresh signals as conditions develop.
Origin & History
Mean reversion strategies are grounded in the statistical tendency of prices to revert to their moving averages, a concept formalized by Jules Regnault in the 1860s.
The QSA implementation of Stochastic Extremes builds on this foundation with quantitative thresholds calibrated specifically for crypto perpetual futures markets. The 24/7 nature of crypto trading and the unique dynamics of DEX markets like Hyperliquid require different parameters than traditional market approaches.
Detection Criteria
Price Analysis
Price action analysis — evaluates candle patterns, trend structure, and key level proximity.
Stochastic Analysis
Evaluates stochastic data to identify qualifying patterns and confirm signal validity.
Multi-Timeframe Validation
Cross-references the signal across multiple timeframes to ensure alignment and reduce false positives.
Volume Confirmation
Requires volume to be above the 20-period average to confirm institutional participation in the move.
Grading Breakdown
Textbook stochastic extremes signal with 4+ domain categories confirming, rare category multipliers contributing, and strong regime alignment. These represent the top 1-2% of signals.
Strong stochastic extremes signal with 3+ categories confirming. Good domain diversity and meaningful rarity bonuses from contributing scanners.
Valid stochastic extremes detection with 2-3 confirming categories. The core pattern is present but lacks the depth of confirmation needed for higher grades.
Single-category stochastic extremes signal or one with limited domain diversity. Pattern detected but conviction is low — worth monitoring, not acting on alone.
Common Mistakes
Buying oversold conditions in a strong downtrend. Mean reversion works best in ranging or mildly trending markets, not during waterfalls.
Not waiting for a reversal candle. An oversold reading alone is not an entry signal — confirmation of buying pressure is essential.
Using this scanner alone without checking regime. Mean reversion in CHAOS regime has much lower success rates.
Averaging down on losing mean reversion trades. If the mean keeps moving away, the original thesis is invalidated.
How to Trade
Entry Context
Enter when price reaches extreme deviation from the mean (VWAP, moving average, or Bollinger Band) AND shows a reversal candle. Never catch a falling knife — wait for the bounce signal.
Risk Management
Stop below the extreme (for longs) or above the extreme (for shorts). If price extends beyond the extreme by more than 1 ATR, the mean reversion thesis is weakened. Position size: 1-2% risk.
Target Framework
Target the mean (VWAP, 20-period SMA, or middle Bollinger Band) as first target. Take 50% off at the mean, trail the remainder. Mean reversion rarely overshoots the opposite extreme.
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QuantScan AI scans 500+ crypto perpetuals in real-time, 24/7. Not financial advice. Past performance does not guarantee future results.