Multi-Timeframe Trading Strategy Combining Fibonacci Levels and Filters

Summary

This strategy script combines several configurable signal components: trend direction from moving averages, a higher-timeframe EMA filter, moving-average ribbon alignment, order-flow proxies, Fibonacci retracement zones, volatility-regime measures, and breakout or mean-reversion conditions. It also includes session and optional cross-asset correlation filters. Risk controls include ATR-based stops, profit targets, and a trailing stop; the script also exposes position-sizing and confluence information in a dashboard.

The visible settings and code show a broad, modular framework rather than a single isolated entry rule. Fibonacci levels are based on recent swings and can be filtered by swing size and bounce characteristics. However, the supplied document is incomplete: portions of the implementation are omitted, and the visible ending shows dashboard fields without the full signal and sizing logic. It reports no backtest results or validation. Several displayed inputs and labels therefore cannot be assessed from this excerpt, and the strategy’s behavior, robustness, and execution assumptions remain uncertain.

Key ideas

• The strategy combines trend, higher-timeframe, moving-average ribbon, and session filters.
• Its Fibonacci component seeks retracement zones within recent swings and allows selected retracement levels.
• Order-flow proxies include volume-based buy and sell estimates, cumulative volume delta settings, VWAP bands, and a volume-profile display.
• Breakout, mean-reversion, volatility-regime, and optional correlation components are configurable.
• ATR-based trade management and a confluence dashboard are included, but the excerpt omits key implementation sections and gives no performance evidence.

Tags

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