A dynamic support and resistance level indicator that uses a user-defined input price to calculate potential market turning points and adaptive price zones.
Explore complementary indicator rolesHow it works
The indicator begins by allowing users to input a specific high or low price value as the foundational reference point. It then calculates support levels by taking the square root of this input value, adjusting it downward by a 0.25 step, and then squaring the result to generate potential support points.
Resistance levels are calculated using a similar method, but with upward adjustments instead. The system dynamically colors these levels based on the current market price, with red and green lines indicating whether the price is above or below each specific support or resistance level.
Why it may be useful
This signal provides traders with a flexible and adaptive framework for understanding potential market turning points and price zones. By dynamically adjusting support and resistance levels based on market movement, it offers real-time insights into potential trend reversals and price barriers.
The visual representation with color-coded lines makes it easy for traders to quickly interpret market conditions, identify potential entry and exit points, and make more informed trading decisions across different timeframes and market environments.
When to explore it
The Gann Fibonacci Levels indicator works best in markets with clear trending behavior and moderate volatility. Traders can utilize this tool most effectively when they want to identify potential support and resistance zones that adapt to current market conditions.
It is particularly useful during range-bound markets or when trying to anticipate potential trend reversals. Traders should combine this indicator with other technical analysis tools to confirm signals and reduce the risk of false positives.
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What we’ve verified
Access, alerts and repainting behaviour have not been independently verified for this indicator. Check the creator’s current publication and settings.
General descriptions and classifications are recovered research. Verified details above identify the specific checks we have completed. Check the creator’s current publication for later changes.
