AbleTrend: Identifying and Analyzing Market Trends for Trading Success

by John Wang and Grace Wang

Quick Summary

A technical trading book presenting the AbleTrend system, a proprietary trend-identification methodology developed by AbleSys Corporation over 15 years. The authors argue that financial markets, while appearing chaotic, contain hidden order governed by universal natural laws, and they demonstrate how their indicator system identifies trend direction, support/resistance levels, and optimal entry/exit points across multiple markets and timeframes, with a foreword by Larry Williams.

Detailed Summary

John Wang and Grace Wang's "AbleTrend" documents the development and application of a systematic, indicator-based approach to market trend identification that attempts to bridge the gap between scientific method and financial market analysis. Published as part of the Wiley Trading series, the book traces the intellectual journey from John Wang's initial fascination with trading through his background in applied mathematics and science to the creation of the AbleTrend indicators.

The foundational premise is that financial markets, despite their apparent randomness, exhibit patterns and behaviors that can be described by mathematical principles analogous to those governing natural phenomena. Wang's background in science led him to hypothesize that the same physical laws governing wave propagation, resonance, and energy transfer could provide a framework for understanding price behavior. The book argues that traditional technical analysis suffers from excessive subjectivity -- different analysts looking at the same chart will often reach contradictory conclusions -- and that AbleTrend offers a more objective, rules-based alternative.

The AbleTrend system consists of multiple proprietary indicators that generate color-coded signals (blue for bullish, red for bearish, green for neutral) on price charts across any market and any timeframe. The core innovation claimed is the identification of "true support and resistance" levels using the underlying mathematical structure of price data rather than manually drawn trendlines or fixed percentage thresholds.

The book systematically covers the Simplified Trading Method (STM), which provides a mechanical entry and exit framework. Buy signals are generated when specified conditions align across the AbleTrend indicators, and stop-loss levels are automatically calculated and adjusted as the trend develops. The authors present backtested results across diverse markets including equities, futures, forex, and commodities, demonstrating the system's performance characteristics.

Chapters on risk management emphasize position sizing, the critical importance of stop-loss discipline, and the psychological challenges of systematic trading. The authors acknowledge that no system wins on every trade and frame the key metric as expectancy -- the average profit per trade when factoring in both winners and losers. The book includes real-world trade examples with annotated charts showing how the signals manifested in real-time conditions.

A distinguishing feature is the book's engagement with the philosophical question of whether markets are fundamentally deterministic or stochastic, arguing for a middle position: markets contain sufficient structure to be partially predictable through appropriate mathematical tools, but also contain genuine randomness that necessitates rigorous risk management.