MACD Cross
Detects the classic MACD signal-line crossover. Bullish: MACD line (12-26 EMA diff) crosses above its 9-period signal EMA. Bearish: crosses below. Most reliable when the cross happens near the zero line (momentum flipping) rather than in extreme territory. Confirmed by MACD histogram expansion in the new direction.
What is this scanner?
Detects the classic MACD signal-line crossover. Bullish: MACD line (12-26 EMA diff) crosses above its 9-period signal EMA. Bearish: crosses below. Most reliable when the cross happens near the zero line (momentum flipping) rather than in extreme territory. Confirmed by MACD histogram expansion in the new direction.
The MACD Cross 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 MACD Cross 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.
Macd Analysis
MACD analysis — measures momentum shifts and potential trend reversals via signal line crossovers.
Momentum Analysis
Evaluates momentum data to identify qualifying patterns and confirm signal validity.
Grading Breakdown
Textbook macd cross signal with 4+ domain categories confirming, rare category multipliers contributing, and strong regime alignment. These represent the top 1-2% of signals.
Strong macd cross signal with 3+ categories confirming. Good domain diversity and meaningful rarity bonuses from contributing scanners.
Valid macd cross detection with 2-3 confirming categories. The core pattern is present but lacks the depth of confirmation needed for higher grades.
Single-category macd cross 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 200+ crypto perpetuals in real-time, 24/7. Not financial advice. Past performance does not guarantee future results.