Filtered Waves Basic Theory: A Tool for Stock Market Analysis

by Arthur Merrill

Quick Summary

This PDF appears to be a scanned image-based document that could not be fully extracted for text analysis. Based on the title and catalog metadata, this is a technical analysis work by Arthur Merrill presenting his "Filtered Waves" methodology for stock market analysis, which involves filtering out minor price fluctuations to identify significant wave patterns in market data that can be used for timing investment decisions.

Detailed Summary

The PDF for this book consists of scanned page images rather than extractable text, limiting the depth of analysis possible. Based on available metadata and the title, "Filtered Waves Basic Theory" by Arthur Merrill is a technical analysis work that presents a systematic method for analyzing stock market price movements by filtering out noise (minor fluctuations) to reveal underlying wave structures.

Arthur Merrill was a respected technical analyst known for his work on market indicators and wave analysis. The "Filtered Waves" approach involves applying percentage or point-based filters to price data, whereby price reversals smaller than the filter threshold are ignored, and only reversals exceeding the threshold are counted as significant waves. This methodology produces a simplified representation of price history that reveals the pattern and rhythm of significant market swings.

The filtered wave approach connects to broader traditions in technical analysis, including Dow Theory (which similarly distinguishes between primary, secondary, and minor movements) and Elliott Wave Theory (which seeks to identify recurring wave patterns). However, Merrill's approach is more mechanical and quantitative, relying on explicit filter parameters rather than subjective pattern recognition.

The practical application involves counting and categorizing the waves produced by different filter settings to identify the market's current position within its cyclical pattern and to project the likely direction and magnitude of subsequent moves. Different filter sizes reveal different levels of market structure, analogous to how different magnifications on a microscope reveal different levels of biological structure.