ETH/BTC Ratio
Monitors ETH price relative to BTC. ETH/BTC trending up indicates ETH leadership and broader alt-season conditions; trending down signals BTC-led market with alt weakness. Uses 50-period EMA crossover on the ratio for regime classification.
What is this scanner?
Monitors ETH price relative to BTC. ETH/BTC trending up indicates ETH leadership and broader alt-season conditions; trending down signals BTC-led market with alt weakness. Uses 50-period EMA crossover on the ratio for regime classification.
The ETH/BTC Ratio scanner operates across 4h, 1d timeframes and refreshes every 300 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 ETH/BTC Ratio 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
Eth price Analysis
Evaluates eth_price data to identify qualifying patterns and confirm signal validity.
Btc price Analysis
Evaluates btc_price data to identify qualifying patterns and confirm signal validity.
Ema Analysis
Exponential Moving Averages — tracks trend direction and dynamic support/resistance levels.
Grading Breakdown
Textbook eth/btc ratio signal with 4+ domain categories confirming, rare category multipliers contributing, and strong regime alignment. These represent the top 1-2% of signals.
Strong eth/btc ratio signal with 3+ categories confirming. Good domain diversity and meaningful rarity bonuses from contributing scanners.
Valid eth/btc ratio detection with 2-3 confirming categories. The core pattern is present but lacks the depth of confirmation needed for higher grades.
Single-category eth/btc ratio 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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QuantScan AI scans 500+ crypto perpetuals in real-time, 24/7. Not financial advice. Past performance does not guarantee future results.