
A multi-timeframe divergence detector using MACD and Bollinger Bands to identify high-probability trading opportunities with adaptive precision and volatility-based alerts.
Explore complementary indicator rolesHow it works
The BK AK-47 Divergence indicator combines MACD and Bollinger Bands to detect momentum shifts across multiple timeframes. It uses an advanced pivot lookback system that compares multiple pivot layers to identify true structural divergences, not just random noise.
The indicator dynamically scales its histogram based on market volatility and provides color-coded visual alerts when MACD reaches Bollinger Band extremes. It simultaneously analyzes current, higher, and lower timeframe divergences, creating a comprehensive momentum detection system.
Why it may be useful
Traditional divergence indicators often generate false signals and fail to provide comprehensive market insights. This tool offers traders a sophisticated, multi-dimensional view of market momentum by integrating multiple analytical techniques into a single, intuitive interface.
By combining MACD, Bollinger Bands, and multi-timeframe divergence logic, traders can identify high-probability entry and exit points with greater precision. The indicator's adaptive design helps filter out noise and highlight genuine market structure changes.
When to explore it
The BK AK-47 Divergence is most effective in markets with clear momentum trends and significant price volatility. It works exceptionally well for traders using advanced technical analysis methods like Elliott Waves, Fibonacci clusters, and harmonic patterns.
Traders should utilize this indicator during breakout confirmations, mean reversion reversals, and when seeking early top/bottom detection signals. Its multi-timeframe synchronization allows for laser-focused entries across different trading strategies and market conditions.
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What we’ve verified
Access, alerts and repainting behaviour have not been independently verified for this indicator. Check the creator’s current publication and settings.
General descriptions and classifications are recovered research. Verified details above identify the specific checks we have completed. Check the creator’s current publication for later changes.

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