Julien_Eche

Strongest Trendline

Julien_Eche מעודכן   
Unleashing the Power of Trendlines with the "Strongest Trendline" Indicator.

Trendlines are an invaluable tool in technical analysis, providing traders with insights into price movements and market trends. The "Strongest Trendline" indicator offers a powerful approach to identifying robust trendlines based on various parameters and technical analysis metrics.

When using the "Strongest Trendline" indicator, it is recommended to utilize a logarithmic scale. This scale accurately represents percentage changes in price, allowing for a more comprehensive visualization of trends. Logarithmic scales highlight the proportional relationship between prices, ensuring that both large and small price movements are given due consideration.

One of the notable advantages of logarithmic scales is their ability to balance price movements on a chart. This prevents larger price changes from dominating the visual representation, providing a more balanced perspective on the overall trend. Logarithmic scales are particularly useful when analyzing assets with significant price fluctuations.

In some cases, traders may need to scroll back on the chart to view the trendlines generated by the "Strongest Trendline" indicator. By scrolling back, traders ensure they have a sufficient historical context to accurately assess the strength and reliability of the trendline. This comprehensive analysis allows for the identification of trendline patterns and correlations between historical price movements and current market conditions.

The "Strongest Trendline" indicator calculates trendlines based on historical data, requiring an adequate number of data points to identify the strongest trend. By scrolling back and considering historical patterns, traders can make more informed trading decisions and identify potential entry or exit points.

When using the "Strongest Trendline" indicator, a higher Pearson's R value signifies a stronger trendline. The closer the Pearson's R value is to 1, the more reliable and robust the trendline is considered to be.

In conclusion, the "Strongest Trendline" indicator offers traders a robust method for identifying trendlines with significant predictive power. By utilizing a logarithmic scale and considering historical data, traders can unleash the full potential of this indicator and gain valuable insights into price trends. Trendlines, when used in conjunction with other technical analysis tools, can help traders make more informed decisions in the dynamic world of financial markets.
הערות שחרור:
I have removed the display of Pearson's correlation coefficient and replaced it with confidence levels in the strength of the trend.
הערות שחרור:
Minor bugs fixed
הערות שחרור:
Minor bug fixed
הערות שחרור:
Just added the phrase "Set to logarithmic scale in the settings" to the chart :)
הערות שחרור:
Updated trend strength levels denominations
הערות שחרור:
Colors updated
הערות שחרור:
Added option to display the second strongest trendline.
הערות שחרור:
Multiple levels of trend strength added
הערות שחרור:
I have added more lengths to find the best trendline further back in time.
I have removed the calculation for the second-best trendline, as it was incorrect.
However, please note that the indicator may take a few seconds to calculate and display the strongest trendline because it utilizes a significant amount of resources.
הערות שחרור:
Auto-Selected Length added at the bottom right of the chart.
הערות שחרור:
Minor adjustments
הערות שחרור:
adjustments to the position of the tables and the colors
הערות שחרור:
Added option for plotting deviation bands.
הערות שחרור:
Default channel visibility added and intermediate deviation bands included.
הערות שחרור:
I have finally removed the default channel visibility, allowing everyone to add it if desired :)
הערות שחרור:
Improved version in terms of calculation speed.
הערות שחרור:
Minor update
הערות שחרור:
major update
- new ultra-fast version
- bug fixed regarding the longest selected length, which now automatically fits into the available history
Don't forget to use logarithmic scale.

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