Pocket Pivot
Identifies pocket pivots — up-days where volume exceeds the highest down-day volume over the prior 10 sessions. This pattern signals institutional accumulation before a breakout, without requiring the stock to break out of a traditional base first.
What is this scanner?
Identifies pocket pivots — up-days where volume exceeds the highest down-day volume over the prior 10 sessions. This pattern signals institutional accumulation before a breakout, without requiring the stock to break out of a traditional base first.
The Pocket Pivot scanner operates across 1h, 4h timeframes and refreshes every 60 seconds, ensuring you see fresh signals as conditions develop.
Origin & History
Momentum-based analysis traces back to relative strength research by Robert Levy in the 1960s and was popularized by William O'Neil's CAN SLIM methodology.
The QSA implementation of Pocket Pivot 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.
Volume Analysis
Volume confirmation — compares current volume against the 20-period moving average to validate signal strength.
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 pocket pivot signal with 4+ domain categories confirming, rare category multipliers contributing, and strong regime alignment. These represent the top 1-2% of signals.
Strong pocket pivot signal with 3+ categories confirming. Good domain diversity and meaningful rarity bonuses from contributing scanners.
Valid pocket pivot detection with 2-3 confirming categories. The core pattern is present but lacks the depth of confirmation needed for higher grades.
Single-category pocket pivot signal or one with limited domain diversity. Pattern detected but conviction is low — worth monitoring, not acting on alone.
Common Mistakes
Chasing after the initial move has already produced 3-5% of price change. The best entries are early, not late.
Ignoring volume confirmation. Momentum without volume is unreliable and often reverses quickly.
Not checking the broader market regime. Momentum strategies underperform during CHAOS regimes.
Setting stop losses too tight, getting stopped out by normal volatility before the move develops.
How to Trade
Entry Context
Wait for a confirmed breakout or momentum shift with above-average volume. The best entries come after a brief consolidation, not during the initial spike. Confirm with at least one other scanner.
Risk Management
Stop below the most recent swing low (for longs) or swing high (for shorts). Position size: 1-2% risk per trade. Exit if momentum stalls and volume drops below average for 3+ candles.
Target Framework
Target previous swing highs/lows or 2x ATR projected from entry. Trail stops using the 10-period EMA on the signal timeframe. Take partial profits at 1x risk-reward.
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See live setups →This is not a prediction of future price movement — it is a way to prioritize which setups deserve your analysis first.
QuantScan AI scans 150+ crypto perpetuals in real-time, 24/7. Not financial advice. Past performance does not guarantee future results.