The Harmonic SNR indicator identifies key price levels (pivots) based on harmonic swings and highlights these levels as potential support and resistance zones. It works by analyzing price swings on two different timeframes simultaneously and compares the resulting pivot points to find matching levels between the timeframes.
Once the matching levels are identified, the script filters out the ones that are too close to each other based on a user-defined minimum distance. This helps in displaying only the most relevant levels on the chart. The valid levels are then sorted and plotted as lines on the chart to provide visual reference points for potential support and resistance areas. These harmonic levels can help traders identify key price zones where the market may react or reverse.
The difference between Harmonic SNR algorithm and traditional Classic Support and Resistance (SNR) lies in the methodology of identifying key price levels, the comparison of timeframes, and the way the levels are filtered and plotted. 1. Method of Calculation Classic SNR :
Support and resistance levels are often identified based on historical price highs and lows, psychological round numbers, or areas where price has reversed multiple times in the past.
This approach is more static and often relies on manual identification or simple horizontal lines that mark historical levels.
Harmonic SNR :
This indicator uses pivot highs and lows from harmonic swings based on a defined swing period. It calculates swing points programmatically (using pivot calculations) and identifies key price levels algorithmically.
It compares pivot points across two different timeframes (intraday and a higher timeframe) to filter out important price levels, providing a more dynamic and multi-timeframe perspective.
2. Multi-Timeframe Comparison Classic SNR :
Classic SNR typically focuses on one timeframe and doesn’t involve comparing key levels across different timeframes.
It marks levels purely based on historical price behavior within the single timeframe of analysis.
Harmonic SNR :
This algorithm compares price swings from two different timeframes (e.g., intraday and daily or higher timeframes). Only levels that appear in both timeframes are considered valid.
This makes the harmonic SNR more selective, filtering out weaker levels and highlighting only those that are significant on both timeframes.
3. Dynamic Filtering and Distance Control Classic SNR :
Traditional SNR does not typically involve filtering based on the distance between levels. It can plot multiple levels even if they are very close to each other, which can clutter the chart.
Harmonic SNR :
This script introduces a filtering mechanism based on a user-defined minimum distance between two levels. If two levels are too close to each other (within a specified threshold), one is excluded to avoid redundancy.
This distance control adds an additional layer of precision to your SNR levels, making them more reliable by avoiding over-clustered levels.
Indicator In Use : By using harmonic swing points, this indicator indirectly reflects harmonic price movement, which is rooted in the natural oscillation of the market. This gives your SNR levels a dynamic, harmonic-based foundation.
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