Fibonacci Levels for Forex Entries and Exits in an Automated Strategy

Summary

Li Fang describes the Expert Advisor he entered in the Automated Trading Championship 2011. It uses Fibonacci levels derived from local highs and lows to generate signals: a return to a level prompts a sell, while a break through a level prompts a buy. The EA has three parameters, including take profit, stop loss, and the setting used to identify local extremes. Its stop and target values were optimized on historical data from January to August 2011.

The interview reports that the EA rose to the top of the contest ranking for two weeks after a strong run of ten trades. Fang says the approach performed best in strong trends and could struggle when prices moved back and forth near Fibonacci levels, where local highs and lows were less reliable. He also notes that the prior year's poor result involved a programming error and that luck contributed to the contest outcome. The interview offers a brief account of a strategy and its contest performance, not a controlled evaluation; it gives no detailed risk analysis or evidence of performance beyond that setting.

Key ideas

• The EA identifies local highs and lows and uses them to define Fibonacci levels.
• A return to a Fibonacci level signals a sell, while a break through one signals a buy.
• The take-profit and stop-loss settings were optimized on historical data.
• The trader describes the approach as most effective in strong trends and less reliable around choppy levels.

Tags

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