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EP Trend Heatmap MTF

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EP Trend Heatmap MTF is an indicator that reflects the dominant trend in a total of 9 timeframes.
These timeframes are configurable.
By default, two fast timeframes (5 and 15 min) and 7 timeframes of higher temporalities are shown (30m, 1H, 2H, 4H, 8H, 12H and 1D).
The first two timeframes can be used to fit inputs into very small time frames.


The colors indicate:
green: buying trend
red: selling trend
gray: neutral or undefined trend
aqua: converging long averages (emaLTC rising below emaLTD)
teal: converging long averages and buying trend

The indicator is very effective in detecting the recovery of the price after a fall. In these cases, it will show bluish colors (aqua and teal) in the lower timeframes, while the red colors give way to neutral and green colors in the higher ones, in a staggered way.

During a strong uptrend, we will see all the timeframes in green, except in the breaks that the price makes, where we will wait for the red colors in lower timeframes to give way to the neutral color and the subsequent green.

When the top 7 timeframes turn green ("green wall" pattern) it will be a good time to buy.

The indicator uses a total of 10 configurable averages.
It is based on the same averages as the EP Prism indicator, so we recommend using them together, which will improve the accuracy of the latter's input signals.
版本注释
What's new:
- The "Clear Sky" pattern is now displayed.
This pattern shows the situation of convergent averages in lower TimeFrames and the absence of sales trends in higher timeframes, preceding a possible rise in price. It will show yellow color on neutral TFs, and more intense green on uptrend TFs.
- An option has been added in the configuration to relax the criteria for the appearance of the pattern. The pattern will be displayed even if there are selling trends above the specified timeframe.
"Allow reds above TF # (a number from 5 to 9)"
9 = not relax.
The default value is 8. Lower values may cause errors in the evaluation of the actual situation.
ep-indicatorsTrend Analysis

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