This is my example script
//@version=4
study("", overlay=true)
// Colors
C_FORECAST_HIGH = color.red
C_FORECAST_LOW = color.red
C_FORECAST_CLOSE = color.blue
C_ERROR_HIGH = color.yellow
C_ERROR_LOW = color.yellow
C_ERROR_CLOSE = color.lime
// Plot styles
P_STYLE_FORECAST = plot.style_line
// }
// ————— Hide the connection line when we plot horizontal levels
// When plotting with plot.style_line or plot.style_linebr, lines are normally connected.
// We are plotting the levels as horizontal lines intraday, and we don't want to see the connection line from one level today to the next level tomorrow.
f_c_hide_connectline(_series, _color) =>
change(_series) ? #FFFFFF00 : _color // Make the plot line have "00" opacity when the level changes. This makes the 'jump' invisible.
// ————— Returns true when the specified date is the date of the current bar
f_is_date(_y,_m,_d) => _d==dayofmonth and _m==month and _y==year ? true : false
// ————— Returns true when the specified date is in the same week of the current bar
f_is_week(_y,_m,_d) =>
ts = timestamp(_y,_m,_d,0,0,0)
if time >= ts and weekofyear(ts) == weekofyear
true
else
false
// —————————— Data input
// {
// ————— Daily data
// {
f_prediction_daily() =>
float _h = na // High
float _l = na // Low
float _c = na // Close
int _y = 0 // Year
int _m = 0 // Month
bool _s = true // Keep searching? Set to false when date of bar is reached, so we don't unneccesarily process subsequent f_is_date() function calls
_y:=2020,_m:=04 // Daily data for April 2020
if _s and f_is_date(_y,_m,01)
_h:=2516,_l:=2418,_c:=2489,_s:=false
if _s and f_is_date(_y,_m,02)
_h:=2500,_l:=2411,_c:=2475,_s:=false
if _s and f_is_date(_y,_m,03)
_h:=2553,_l:=2484,_c:=2492,_s:=false
if _s and f_is_date(_y,_m,06)
_h:=2637,_l:=2579,_c:=2606,_s:=false
if _s and f_is_date(_y,_m,07)
_h:=2801,_l:=2749,_c:=2790,_s:=false
if _s and f_is_date(_y,_m,08)
_h:=2742,_l:=2660,_c:=2666,_s:=false
if _s and f_is_date(_y,_m,09)
_h:=2825,_l:=2758,_c:=2796,_s:=false
if _s and f_is_date(_y,_m,13)
_h:=2816,_l:=2757,_c:=2811,_s:=false
if _s and f_is_date(_y,_m,14)
_h:=2857,_l:=2798,_c:=2825,_s:=false
if _s and f_is_date(_y,_m,15)
_h:=2804,_l:=2759,_c:=2761,_s:=false
if _s and f_is_date(_y,_m,16)
_h:=2827,_l:=2790,_c:=2798,_s:=false
if _s and f_is_date(_y,_m,17)
_h:=2875,_l:=2850,_c:=2857,_s:=false
if _s and f_is_date(_y,_m,20)
_h:=2861,_l:=2818,_c:=2828,_s:=false
if _s and f_is_date(_y,_m,21)
_h:=2801,_l:=2746,_c:=2763,_s:=false
if _s and f_is_date(_y,_m,22)
_h:=2838,_l:=2790,_c:=2832,_s:=false
if _s and f_is_date(_y,_m,23)
_h:=2837,_l:=2808,_c:=2828,_s:=false
if _s and f_is_date(_y,_m,24)
_h:=2843,_l:=2800,_c:=2840,_s:=false
if _s and f_is_date(_y,_m,27)
_h:=2888,_l:=2847,_c:=2877,_s:=false
if _s and f_is_date(_y,_m,28)
_h:=2948,_l:=2914,_c:=2920,_s:=false
if _s and f_is_date(_y,_m,29)
_h:=2967,_l:=2918,_c:=2956,_s:=false
if _s and f_is_date(_y,_m,30)
_h:=2950,_l:=2910,_c:=2946,_s:=false
_y:=2020,_m:=05 // Daily data for May 2020
if _s and f_is_date(_y,_m,01)
_h:=2890,_l:=2795,_c:=2800,_s:=false
if _s and f_is_date(_y,_m,04)
_h:=2844,_l:=2759,_c:=2798,_s:=false
if _s and f_is_date(_y,_m,05)
_h:=2910,_l:=2843,_c:=2870,_s:=false
if _s and f_is_date(_y,_m,06)
_h:=2953,_l:=2865,_c:=2881,_s:=false
[_h,_l,_c] // Return the values
// }
// ————— Weekly data
// {
f_prediction_weekly() =>
var float _h = na // High
var float _l = na // Low
var float _c = na // Close
var int _y = 0 // Year
var int _m = 0 // Month
var bool _s = true // Keep searching? Set to false when date of current bar is reached, so we don't unneccesarily process subsequent f_is_date() function calls
_y:=2020,_m:=04 // Weekly data for April 2020
if _s and f_is_week(_y,_m,06)
_h:=2700,_l:=2400,_c:=2500,_s:=false
if _s and f_is_week(_y,_m,13)
_h:=2800,_l:=2700,_c:=2750,_s:=false
if _s and f_is_week(_y,_m,20)
_h:=2900,_l:=2750,_c:=2800,_s:=false
if _s and f_is_week(_y,_m,27)
_h:=2950,_l:=2775,_c:=2825,_s:=false
_y:=2020,_m:=05 // Weekly data for May 2020
if _s and f_is_week(_y,_m,04)
_h:=2900,_l:=2650,_c:=2700,_s:=false
[_h,_l,_c] // Return the values
// }
// }
[daily_high, daily_low, daily_close ] = f_prediction_daily()
[weekly_high, weekly_low, weekly_close] = f_prediction_weekly()
canplot_daily = input(true, "daily")
// Plot forecasts - daily
plot(canplot_daily ? daily_high : na, color=f_c_hide_connectline(daily_high, C_FORECAST_HIGH), style=P_STYLE_FORECAST, title = "Daily High")
plot(canplot_daily ? daily_low : na, color=f_c_hide_connectline(daily_low, C_FORECAST_LOW), style=P_STYLE_FORECAST, title = "Daily Low")
plot(canplot_daily ? daily_close : na, color=f_c_hide_connectline(daily_close, C_FORECAST_CLOSE), style=P_STYLE_FORECAST, title = "Daily Close")
canplot_weekly = input(true, "weekly")
// Plot forecasts - weekly
plot(canplot_weekly ? weekly_high : na, color=f_c_hide_connectline(weekly_high, C_ERROR_HIGH), style=P_STYLE_FORECAST , title="Weekly High")
plot(canplot_weekly ? weekly_low : na, color=f_c_hide_connectline(weekly_low, C_ERROR_LOW), style=P_STYLE_FORECAST , title="Weekly Low")
plot(canplot_weekly ? weekly_close : na, color=f_c_hide_connectline(weekly_close, C_ERROR_CLOSE), style=P_STYLE_FORECAST , title="Weekly Close")
Which yields this plot
For the sake of completeness, this script is the result of a series of questions I asked in the past.
See Plotting manual levels for daily high,low,close for historical info and context.
The above script is designed to be plotted on ticker SPX, and to be viewed on an intraday timeframe.
My question is this:
Why are the predicted levels for the weekly data plotted incorrectly (only one level plotted)?
I'm expecting a different level to be plotted for each week.
However, the weekly plot only seems to be plotting the first data point that it encounters, being
_y:=2020,_m:=04 // Weekly data for April 2020
if _s and f_is_week(_y,_m,06)
_h:=2700,_l:=2400,_c:=2500,_s:=false
The data retrieval is being done in the same way for daily and weekly data
[daily_high, daily_low, daily_close ] = f_prediction_daily()
[weekly_high, weekly_low, weekly_close] = f_prediction_weekly()
Therefore, I don't understand the difference in the output.
Why would the daily plot be correct, but not the weekly plot?
I've already debugged by plotting the f_is_week(_y,_m,_d) function, but that function seems to return correct results.
I'm obviously missing something here, but I can't see it.
Does anyone have an idea what causes the weekly plot to only plot one level?
