Fibonacci Swing Entries with a Multi-Timeframe EMA Filter

Summary

This partial strategy script combines pivot-based swing detection and Fibonacci levels with an EMA trend filter across multiple timeframes. Its visible settings include a Fibonacci entry level, an extension target, a minimum swing size relative to ATR, setup expiry, and options for ATR-based stops and targets or a fixed risk-to-reward target. Additional filters include trading-session limits, a cooldown between trades, avoidance of repeat entries on the same swing, a minimum reward-to-risk threshold, a daily trade cap, and an ADX filter.

The comments describe fixes intended to make alerts and chart annotations correspond to confirmed positions and actual exits. The excerpt does not include the complete signal and order logic, nor any backtest results, so the precise behavior and effectiveness cannot be assessed. Its many configurable filters and risk settings are design choices to evaluate, not evidence of profitability; parameter selection, instrument, timeframe, and execution costs could materially affect outcomes.

Key ideas

• The strategy uses swing pivots and Fibonacci levels to define potential entries and extension targets.
• A multi-timeframe EMA filter can require agreement across several timeframes before entry.
• ATR-based stops and targets, fixed risk-to-reward exits, and a minimum reward-to-risk filter are configurable.
• Cooldown, session, daily trade-count, and repeat-swing filters constrain trade frequency.
• The available excerpt omits the complete trading logic and provides no performance results.

Tags

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