Base Builder
Detects coins building a tight base: price range narrows to within 3% over 20+ candles, ATR drops to historical lows, and volume dries up. This extreme compression typically precedes a large directional move. The scanner watches for the first candle that breaks out of the base with above-average volume.
What is this scanner?
Detects coins building a tight base: price range narrows to within 3% over 20+ candles, ATR drops to historical lows, and volume dries up. This extreme compression typically precedes a large directional move. The scanner watches for the first candle that breaks out of the base with above-average volume.
The Base Builder scanner operates across 4h timeframes and refreshes every 120 seconds, ensuring you see fresh signals as conditions develop.
Origin & History
Regime detection has its roots in Hamilton's Markov Switching Models (1989) and has become central to adaptive strategy allocation in quantitative finance.
The QSA implementation of Base Builder 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.
Atr Analysis
Average True Range — measures volatility expansion/contraction to confirm breakout validity.
Grading Breakdown
Textbook base builder signal with 4+ domain categories confirming, rare category multipliers contributing, and strong regime alignment. These represent the top 1-2% of signals.
Strong base builder signal with 3+ categories confirming. Good domain diversity and meaningful rarity bonuses from contributing scanners.
Valid base builder detection with 2-3 confirming categories. The core pattern is present but lacks the depth of confirmation needed for higher grades.
Single-category base builder signal or one with limited domain diversity. Pattern detected but conviction is low — worth monitoring, not acting on alone.
Common Mistakes
Treating regime signals as direct trade triggers. Regime is context, not a setup — use it to filter other scanners.
Not adjusting strategy allocation when regime changes. Running momentum strategies during CHAOS is a recipe for losses.
Ignoring regime transitions. The shift from QUIET to NORMAL is often the most profitable period to be positioned.
Over-trading during CHAOS because volatility looks exciting. High volatility ≠ high probability.
How to Trade
Entry Context
Use regime context to filter other scanners. In QUIET regimes, prioritize breakout scanners. In NORMAL, all strategies are viable. In CHAOS, reduce size or wait.
Risk Management
Adjust position sizes by regime state. QUIET: normal size. NORMAL: normal to slightly larger. CHAOS: 50% size or sit out. This single rule dramatically improves risk-adjusted returns.
Target Framework
Target expectations vary by regime. QUIET-to-NORMAL transitions produce the largest moves. NORMAL trends are steady and predictable. CHAOS is binary — take profits quickly if profitable.
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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 500+ crypto perpetuals in real-time, 24/7. Not financial advice. Past performance does not guarantee future results.