绘制自定义数据 - 每天 = 正常，每周 = 不正常 [英] Plotting custom data - daily = ok, weekly = not ok
本文介绍了绘制自定义数据 - 每天 = 正常，每周 = 不正常的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
这是我的示例脚本
//@version=4研究("，覆盖=真)//颜色C_FORECAST_HIGH = color.redC_FORECAST_LOW = color.redC_FORECAST_CLOSE = color.blueC_ERROR_HIGH = color.yellowC_ERROR_LOW = color.yellowC_ERROR_CLOSE = color.lime//绘图样式P_STYLE_FORECAST = plot.style_line//}//————— 我们绘制水平线时隐藏连接线//当用plot.style_line 或plot.style_linebr 绘图时，线通常是相连的.//我们在日内将水平线绘制为水平线，我们不想看到从今天的水平线到明天的水平线的连接线.f_c_hide_connectline(_series, _color) =>改变(_系列)?#FFFFFF00 : _color//当级别改变时，使绘图线具有00"不透明度.这使得跳跃"不可见.//————— 当指定日期为当前柱的日期时返回真f_is_date(_y,_m,_d) =>_d==dayofmonth 和 _m==month 和 _y==year ?真假//————— 当指定日期在当前柱的同一周时返回真f_is_week(_y,_m,_d) =>ts = 时间戳(_y,_m,_d,0,0,0)如果时间 >= ts 和 weekofyear(ts) == weekofyear真的别的错误的// - - - - - 数据输入//{//————— 每日数据//{f_prediction_daily() =>float _h = na//高float _l = na//低float _c = na//关闭int _y = 0//年份int _m = 0//月份bool _s = true//继续搜索?到达柱线日期时设置为 false，因此我们不会不必要地处理后续 f_is_date() 函数调用_y:=2020,_m:=04//2020 年 4 月的每日数据如果 _s 和 f_is_date(_y,_m,01)_h:=2516,_l:=2418,_c:=2489,_s:=false如果 _s 和 f_is_date(_y,_m,02)_h:=2500,_l:=2411,_c:=2475,_s:=false如果 _s 和 f_is_date(_y,_m,03)_h:=2553,_l:=2484,_c:=2492,_s:=false如果 _s 和 f_is_date(_y,_m,06)_h:=2637,_l:=2579,_c:=2606,_s:=false如果 _s 和 f_is_date(_y,_m,07)_h:=2801,_l:=2749,_c:=2790,_s:=false如果 _s 和 f_is_date(_y,_m,08)_h:=2742,_l:=2660,_c:=2666,_s:=false如果 _s 和 f_is_date(_y,_m,09)_h:=2825,_l:=2758,_c:=2796,_s:=false如果 _s 和 f_is_date(_y,_m,13)_h:=2816,_l:=2757,_c:=2811,_s:=false如果 _s 和 f_is_date(_y,_m,14)_h:=2857,_l:=2798,_c:=2825,_s:=false如果 _s 和 f_is_date(_y,_m,15)_h:=2804,_l:=2759,_c:=2761,_s:=false如果 _s 和 f_is_date(_y,_m,16)_h:=2827,_l:=2790,_c:=2798,_s:=false如果 _s 和 f_is_date(_y,_m,17)_h:=2875,_l:=2850,_c:=2857,_s:=false如果 _s 和 f_is_date(_y,_m,20)_h:=2861,_l:=2818,_c:=2828,_s:=false如果 _s 和 f_is_date(_y,_m,21)_h:=2801,_l:=2746,_c:=2763,_s:=false如果 _s 和 f_is_date(_y,_m,22)_h:=2838,_l:=2790,_c:=2832,_s:=false如果 _s 和 f_is_date(_y,_m,23)_h:=2837,_l:=2808,_c:=2828,_s:=false如果 _s 和 f_is_date(_y,_m,24)_h:=2843,_l:=2800,_c:=2840,_s:=false如果 _s 和 f_is_date(_y,_m,27)_h:=2888,_l:=2847,_c:=2877,_s:=false如果 _s 和 f_is_date(_y,_m,28)_h:=2948,_l:=2914,_c:=2920,_s:=false如果 _s 和 f_is_date(_y,_m,29)_h:=2967,_l:=2918,_c:=2956,_s:=false如果 _s 和 f_is_date(_y,_m,30)_h:=2950,_l:=2910,_c:=2946,_s:=false_y:=2020,_m:=05//2020 年 5 月的每日数据如果 _s 和 f_is_date(_y,_m,01)_h:=2890,_l:=2795,_c:=2800,_s:=false如果 _s 和 f_is_date(_y,_m,04)_h:=2844,_l:=2759,_c:=2798,_s:=false如果 _s 和 f_is_date(_y,_m,05)_h:=2910,_l:=2843,_c:=2870,_s:=false如果 _s 和 f_is_date(_y,_m,06)_h:=2953,_l:=2865,_c:=2881,_s:=false[_h,_l,_c]//返回值//}//————— 每周数据//{f_prediction_weekly() =>var float _h = na//高var float _l = na//低var float _c = na//关闭var int _y = 0//年份var int _m = 0//月var bool _s = true//继续搜索?当达到当前柱的日期时设置为 false，因此我们不会不必要地处理后续 f_is_date() 函数调用_y:=2020,_m:=04//2020 年 4 月的每周数据如果 _s 和 f_is_week(_y,_m,06)_h:=2700,_l:=2400,_c:=2500,_s:=false如果 _s 和 f_is_week(_y,_m,13)_h:=2800,_l:=2700,_c:=2750,_s:=false如果 _s 和 f_is_week(_y,_m,20)_h:=2900,_l:=2750,_c:=2800,_s:=false如果 _s 和 f_is_week(_y,_m,27)_h:=2950,_l:=2775,_c:=2825,_s:=false_y:=2020,_m:=05//2020 年 5 月的周数据如果 _s 和 f_is_week(_y,_m,04)_h:=2900,_l:=2650,_c:=2700,_s:=false[_h,_l,_c]//返回值//}//}[daily_high, daily_low, daily_close ] = f_prediction_daily()[weekly_high,weekly_low,weekly_close] = f_prediction_weekly()canplot_daily = 输入(真，每日")//绘制预测 - 每日情节(canplot_daily?daily_high:na，颜色=f_c_hide_connectline(daily_high，C_FORECAST_HIGH)，风格=P_STYLE_FORECAST，标题=每日高")情节(canplot_daily?daily_low:na，颜色=f_c_hide_connectline(daily_low，C_FORECAST_LOW)，风格=P_STYLE_FORECAST，标题=每日低")情节(canplot_daily?daily_close:na，颜色=f_c_hide_connectline(daily_close，C_FORECAST_CLOSE)，风格=P_STYLE_FORECAST，标题=每日收盘")canplot_weekly = 输入(真，每周")//绘制预测 - 每周情节(canplot_weekly ?weekly_high : na, color=f_c_hide_connectline(weekly_high, C_ERROR_HIGH), style=P_STYLE_FORECAST , title="Weekly High")情节(canplot_weekly ?weekly_low : na, color=f_c_hide_connectline(weekly_low, C_ERROR_LOW), style=P_STYLE_FORECAST , title="Weekly Low")情节(canplot_weekly?weekly_close:na，颜色=f_c_hide_connectline(weekly_close，C_ERROR_CLOSE)，风格=P_STYLE_FORECAST，标题=每周关闭")产生这个图
为了完整起见，这个脚本是我过去问的一系列问题的结果.
请参阅
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?
解决方案
Need to delete this var. Otherwise, once it's set to false its state is remembered through all successive function calls, like a static variable, so no further inits can take place.
这篇关于绘制自定义数据 - 每天 = 正常，每周 = 不正常的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
查看全文
