Description
Institutional Bubbles focuses on detecting institutional participation.
__ Institutional activity varies with liquidity conditions and market context. To address this, the indicator applies a proprietary algorithm combining a lambda-based normalization with a rolling VWAP to isolate the obvious imbalance patterns. The objective is not to highlight and use the obvious suspicious signals, but to highlight and use the artificially "normal" and balanced activity. __
This is a fully quantified system. We backtested on others plataforms and that showed us that blindly following big-sized bubbles produces a consistent edge which was validated over 1000+ trades (the backtest follows the signal direction and close the position if a opposite side signal appears, no filters or others indicators was used). With a consistent edge over all symbols, this indicator is perfect to elevate your strategy to another level, giving you more confidence on entries.
* THE DEFAULT CONFIGURATION (SENSIBILITY=1.6 OR LOWER) IS THE BEST FOR EVERY SYMBOL.
* ALL SYMBOLS AND TIMEFRAMES ARE SUPPORTED, BUT IS RECOMMENDED TO USE M1 OR M5 FOR THE MOST PRECISE READING.
* WE DO NOT SELL AUTOMATIC TRADING ALGORITHMS.
Summary
The indicator supports all symbols and timeframes, with a recommendation to use 1-minute or 5-minute charts for the most precise readings. Its default sensitivity setting (1.6 or lower) is optimized for broad applicability across markets. Institutional Bubbles provides fully quantified signals that have been backtested over 1000+ trades across multiple platforms, demonstrating a consistent edge when following the indicatorโs directional signals without additional filters.
Key features include visualization of institutional activity, signal generation for breakouts, reversals, trend strength, volatility regimes, and support/resistance levels. It requires only bar data and is categorized under support and resistance indicators. This tool is intended to enhance trading strategies by offering insights into hidden market dynamics driven by large participants.
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