OI Divergence
Detects when price drops but open interest and volume surge — signaling new shorts entering. Combined with negative funding, this setup often precedes short squeezes.
What is this scanner?
Detects when price drops but open interest and volume surge — signaling new shorts entering. Combined with negative funding, this setup often precedes short squeezes.
The OI Divergence scanner operates across 1h, 4h timeframes and refreshes every 60 seconds, ensuring you see fresh signals as conditions develop.
Origin & History
Smart money analysis originates from Richard Wyckoff's work on institutional order flow in the 1930s, later developed by Tom Williams into Volume Spread Analysis (VSA).
The QSA implementation of OI Divergence 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.
Open interest Analysis
Evaluates open_interest data to identify qualifying patterns and confirm signal validity.
Funding rate Analysis
Evaluates funding_rate data to identify qualifying patterns and confirm signal validity.
Grading Breakdown
Textbook oi divergence signal with 4+ domain categories confirming, rare category multipliers contributing, and strong regime alignment. These represent the top 1-2% of signals.
Strong oi divergence signal with 3+ categories confirming. Good domain diversity and meaningful rarity bonuses from contributing scanners.
Valid oi divergence detection with 2-3 confirming categories. The core pattern is present but lacks the depth of confirmation needed for higher grades.
Single-category oi divergence signal or one with limited domain diversity. Pattern detected but conviction is low — worth monitoring, not acting on alone.
Common Mistakes
Blindly following whale positions without understanding they may be hedging or part of a larger strategy you can't see.
Not accounting for the time delay between whale positioning and your entry. Price may have already moved significantly.
Overweighting a single whale's position. Consensus among multiple whales is far more meaningful than one large position.
Ignoring technical context. Smart money signals are best when they confirm existing chart patterns, not contradict them.
How to Trade
Entry Context
Follow smart money positioning but confirm with technical structure. Enter when whale consensus aligns with a visible support/resistance level or a technical setup from another scanner.
Risk Management
Use technical levels for stop placement, not the smart money signal itself. If the technical level breaks, exit regardless of what whales are doing. Standard 1-2% risk per trade.
Target Framework
Smart money moves tend to be larger than average. Use 2-3x ATR as initial target, then trail with the 20-period EMA. Watch for signs of whale position reduction as an exit signal.
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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.