Trading ABCD Patterns with Williams Fractals and Trend Filters

Summary

This strategy uses Williams Fractals to identify swing highs and lows, then checks successive points for an ABCD pattern. It applies proportional conditions to the legs and classifies the setup as bullish or bearish based on the relative positions of the final points. A bar-count comparison between recent bullish and bearish patterns supplies a broader directional filter. When a qualifying pattern is identified, the strategy enters in that direction and uses profit and stop levels to manage the trade.

The document describes a BTC/USDT futures backtest setup and configurable profit and stop goals, but provides no performance results. It presents the method as a way to follow medium-term moves, while noting that fractals can lag, overlapping patterns can be misidentified, and an incorrect trend filter can leave trades exposed. Stop distances also affect whether positions exit prematurely or track poorly. Suggested extensions include testing pattern and lookback parameters, adding moving-average or oscillator filters, and tuning exits for each market and timeframe. The material explains a pattern-based method but does not validate its profitability.

Key ideas

• Williams Fractals identify candidate swing points used to construct ABCD patterns.
• The strategy checks proportional relationships between pattern legs and classifies direction using the final points.
• A comparison of recent bullish and bearish pattern timing acts as a broader trend filter.
• Stop and profit levels manage entries, but their distances require tuning.
• The backtest settings are stated without performance results, and the document warns of lag and overlapping patterns.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.