This code snippet demonstrates how to calculate the slope of an Exponential Moving Average (EMA) in terms of angles, which are approximated by price/time ratios. The result is visualized using a histogram where the color changes based on the angle’s value.
EMA=average[20](close)
a=30
b=-30
HH = EMA-EMA[p]
X = HH / p
Ang = ATAN(X)
if ang>a then
r=0
g=255
endif
if angb then
r=0
g=0
endif
RETURN ang coloured(r,g,0) style(histogram) as "Angle",0 AS "0",a as "ligne",b as"ligne2"
Explanation of the Code:
- EMA Calculation: The code starts by calculating the Exponential Moving Average (EMA) of the closing prices over the last 20 periods.
- Angle Calculation: It then computes the difference between the current EMA and the previous period’s EMA (EMA[p]). This difference is divided by the period ‘p’ to normalize the slope over time, resulting in ‘X’.
- ATAN Function: The ATAN (arctangent) function is used to convert the slope ‘X’ into an angle ‘Ang’. This angle is in radians.
- Conditional Coloring: The angle is then evaluated against two thresholds ‘a’ and ‘b’. If ‘Ang’ is greater than ‘a’ (30 degrees), the histogram bar is colored green. If ‘Ang’ is less than ‘b’ (-30 degrees), the bar is colored red. If ‘Ang’ is between ‘a’ and ‘b’, the bar remains uncolored (black).
- Output: Finally, the angle ‘Ang’ is returned and displayed as a histogram. The histogram is styled with colors defined by the conditions, and additional lines are drawn at ‘a’ and ‘b’ to indicate these thresholds.
This approach provides a visual method to quickly assess the direction and steepness of the moving average’s change, which can be particularly useful for identifying trends in data series.