如何使用较低时间框架指示器的日末值绘制更高的时间框架指示器？

Question

我编写了这样的脚本：

//@version=5
indicator("Normalized (ATR - wise) Relative strength of a stock compared to an index (daily close comparison)", "Normalized (ATR - wise) Relative strength of a stock",precision = 2)
//Input
comparativeTickerId = input.symbol("VNINDEX",title = "Comparative Symbol" )
smoothing = input.string(title="Smoothing", defval="RMA", options=["RMA", "SMA", "EMA", "WMA"])
lengthFastMA = input.int(5,minval=1, title="Fast MA")
lengthSlowMA = input.int(25,minval=1, title="Slow MA")

//Calculation

baseSymbol = request.security(syminfo.tickerid, "60", close)   
fixSymbolBar = request.security(syminfo.tickerid, "D", close[1],barmerge.gaps_off, barmerge.lookahead_on) 
atr_baseSymbol = request.security(syminfo.tickerid, "60", ta.atr(25)) 
normalizeSymbolBar = (baseSymbol-fixSymbolBar)/atr_baseSymbol

comparativeSymbol = request.security(comparativeTickerId, "60", close)   
fixComparativeSymbolbar = request.security(comparativeTickerId, "D", close[1],barmerge.gaps_off, barmerge.lookahead_on)   // correct
atrComparativeSymbol = request.security(comparativeTickerId,"60",ta.atr(25))  
normalizeComparativeSymbol = (comparativeSymbol - fixComparativeSymbolbar)/atrComparativeSymbol

ma_function(source, length) =>
    switch smoothing
        "RMA" => ta.rma(source, length)
        "SMA" => ta.sma(source, length)
        "EMA" => ta.ema(source, length)
        => ta.wma(source, length)
    
res = (normalizeSymbolBar - normalizeComparativeSymbol)*100

 //plot

plot(res,style = plot.style_columns, color = res > 0 ? color.blue : color.orange)
plot(ma_function(res,lengthFastMA), color = ma_function(res,lengthFastMA) > 0 ? #0c5847 : color.red, title = "Fast MA", linewidth = 2)
plot(ma_function(res,lengthSlowMA), style =  plot.style_area, title = 'Slow MA', color = color.gray)

简而言之，该指标与索引相比，计算股票的归一化回报之间的不同。

现在，我想在60分钟的时间范围内使用TA.EMA（RES，LENGTHESFASTMA）的日末值在每天的时间范围内编写指示器。例如，可以说60分钟时间的2022年6月30日bar ta.ema（res，Lengthfastma）的价值为50，这使得指标的价值在2022年6月30日的日常时间范围内也为50。

我该如何实现？

Answer 1

my_timeframe = input.timeframe(title="Custom Timeframe", defval="1", group="Strategy parameters")
    
changed_data = request.security(syminfo.tickerid, my_timeframe, graph_data, gaps=barmerge.gaps_on)
    
plot(changed_data , title = "Your custom graph", color=color.orange)

对于版本5：定义时间范围输入以允许从设置部分进行自定义，请请求安全更新与您的时间范围不同，该更新与您的视图不同，显示图形。