Murrey Math Lines with extreme compartor and pivot points
Apr 6, 2018

The Murrey Math Lines with extreme compartor and pivot points indicator combines three distinct technical analysis methodologies into a single comprehensive toolkit designed to identify trend breakouts, exhaustion points, and price reversals. It provides a multi-layered view of market structure by integrating Murrey Math horizontal levels, adaptive volatility tracking, and localized pivot point detection to help traders pinpoint high-probability support and resistance zones.
Usage
The script is designed for multifaceted market analysis and can be utilized in several ways:
- Trend Breakouts: Continuous diamond shapes appearing while price remains within the outer Murrey Math bands suggest a strong trend. Traders often use these signals to identify momentum or to enter on pullbacks during an established move.
- Top and Bottom Identification: Potential market tops are identified when two pivot points form in the upper Murrey zones. If the first pivot is marked by a diamond and the second lacks one (or is higher in the outer band) with a dip in between, it signals exhaustion. Double bottoms follow a similar logic in the lower zones.
- Pullback Detection: Green and red arrows indicate pullbacks within a trend. A bullish pullback occurs when the primary trend is up but the short-term oscillator reaches oversold levels, offering a potential entry point.
- Volatility Analysis: The width of the Murrey Math bands serves as a volatility gauge. Wider bands indicate higher volatility and stronger trend potential, whereas narrow bands suggest consolidation and range-bound movement.
- Support & Resistance: The combination of pivot points and extension lines provides dynamic and static levels to watch for price reactions.
Details
The indicator consolidates three main components:
- Murrey Math Lines: A fractal-based system that divides price action into 1/8th intervals. These levels act as natural support and resistance based on the "Music of the Spheres" concept.
- Extremes Comparator: An oscillator-based logic that compares a long-term lookback (e.g., 256 bars) with a short-term lookback (e.g., 32 bars). This helps identify "Hyper Extremes" (overbought/oversold) and trend direction.
- Pivot Points: Traditional pivot high and low detection that marks significant structural turns in the market.
Settings
Pivots
- Show Pivot Points: Toggles the display of pivot markers on the chart.
- Pivot Length Left/Right: Sets the number of bars required to the left and right to confirm a pivot point.
- Show S/R Level Extensions: Draws horizontal lines from pivot points to show historical support/resistance.
- Show Pivot Labels: Displays [P.H] or [P.L] labels on pivots.
Murrey Math Lines
- Use Current Chart Resolution: Determines if the levels are calculated based on the current timeframe or a higher one.
- Show murrey lines: Toggles the visibility of the Murrey Math grid.
- Murrey Math Length: The lookback period used to determine the highest high and lowest low for the grid.
- Murrey Math Multiplier: Adjusts the scaling of the fractal intervals (default is 0.125 or 1/8).
Murrey Extremes
- Murrey Extremes Look back Length 1/2: Sets the two lookback windows for the comparator logic.
- Multiplier: Specifically calibrated for the 1/8th Murrey logic.
FAQ
How do I interpret the triangle shapes?
The triangles located at the top or bottom of the chart represent the overall general trend determined by the Extremes Comparator. Green triangles at the bottom indicate a bullish bias, while red triangles at the top indicate a bearish bias.
What do the diamond shapes represent?
Diamonds indicate "Hyper Extremes." A red diamond above a bar suggests the market is extremely overbought and a reversal to the downside may be imminent, while a green diamond below a bar suggests an oversold condition.
How can I access Murrey Math Lines with extreme compartor and pivot points?
You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.
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