我的腳本有問題。我正在嘗試繪制 'total_score' 變數的值，但我希望它來自特定的時間范圍。問題是，當我使用 'request.security' 函式繪圖時，會彈出一條訊息：“不能使用可變變數作為 'request.security' 函式的引數”。這是因為 'total_score' 是一個始終在更新的變數。
為了進行繪圖，我嘗試創建一個計算此變數的函式，并將其放入一個新變數“test_tf_4H”中。然后，我嘗試繪制這個 'test_tf_4H' 變數而不是繪制 request.security 函式，但這都不起作用。仍然出現相同的訊息：“不能使用可變變數作為 'request.security' 函式的引數”。
誰能告訴我我在這里做錯了什么？請。
// == inputs ==
Tenkan_P = input(9, title="Línea Tenkan-Sen"),
Kijun_P = input(26, title="Línea Kijun-Sen")
LeadingB_P = input(52, title="Línea Leading Span B"),
displacement = input(26, title="Retraso Chikou Span")
// == Vectores Ichimoku ==
Maximos_Tenkan = ta.highest(high, Tenkan_P)
Minimos_Tenkan = ta.lowest(low, Tenkan_P)
Maximos_Kijun = ta.highest(high, Kijun_P)
Minimos_Kijun = ta.lowest(low, Kijun_P)
Maximos_SpanB = ta.highest(high, LeadingB_P)
Minimos_SpanB = ta.lowest(low, LeadingB_P)
Tenkan = (Maximos_Tenkan Minimos_Tenkan)/2
Kijun = (Maximos_Kijun Minimos_Kijun) / 2
LeadingSpan_A = (Tenkan Kijun) / 2
LeadingSpan_B = (Maximos_SpanB Minimos_SpanB) / 2
resolve(src, default) =>
if na(src)
default
else
src
//Definición de cruces Gold / Death
tk_cross_bull = ta.crossover(Tenkan, Kijun)
tk_cross_bear = ta.crossunder(Tenkan, Kijun)
// Momento de cruce TK / KJ
cross_y = (Tenkan[1] * (Kijun - Kijun[1]) - Kijun[1] * (Tenkan - Tenkan[1])) / ((Kijun - Kijun[1]) - (Tenkan - Tenkan[1]))
tk_cross_below_kumo = cross_y <= LeadingSpan_B[27] and cross_y <= LeadingSpan_A[27] and cross_y <= LeadingSpan_B[26] and cross_y <= LeadingSpan_A[26]
tk_cross_above_kumo = cross_y >= LeadingSpan_B[27] and cross_y >= LeadingSpan_A[27] and cross_y >= LeadingSpan_B[26] and cross_y >= LeadingSpan_A[26]
tk_cross_inside_kumo = (not tk_cross_below_kumo) and (not tk_cross_above_kumo)
//Función TK Cross
tk_cross_score = 0.0
tk_cross_score := resolve(tk_cross_score[1], 0)
// Ponderación del cruce TK / KJ
tk_cross_weight = input.float(1.0, title="Tenkan/Kijun Ponderación", step=0.1)
tk_cross_weak_bullish_points = input.float(0.5, title="Ponderación Tenkan/Kijun Bullish débil", step=0.1)
tk_cross_neutral_bullish_points = input.float(1.0, title="Ponderación Tenkan/Kijun Bullish neutral", step=0.1)
tk_cross_strong_bullish_points = input.float(2.0, title="Ponderación Tenkan/Kijun Bullish fuerte", step=0.1)
tk_cross_weak_bearish_points = input.float(-0.5, title="Ponderación Tenkan/Kijun Bearish débil", step=0.1)
tk_cross_neutral_bearish_points = input.float(-1.0, title="Ponderación Tenkan/Kijun Bearish neutral", step=0.1)
tk_cross_strong_bearish_points = input.float(-2.0, title="Ponderación Tenkan/Kijun Bearish fuerte", step=0.1)
// == TK Cross / weak bullish (below kumo) ==
tk_cross_score := (tk_cross_bull and tk_cross_below_kumo) ? tk_cross_weak_bullish_points : tk_cross_score
// == TK Cross / neutral bullish (inside kumo) ==
tk_cross_score := (tk_cross_bull and tk_cross_inside_kumo) ? tk_cross_neutral_bullish_points : tk_cross_score
// == TK Cross / strong bullish (above kumo) ==
tk_cross_score := (tk_cross_bull and tk_cross_above_kumo) ? tk_cross_strong_bullish_points : tk_cross_score
// == TK Cross / strong bearish (below kumo) ==
tk_cross_score := (tk_cross_bear and tk_cross_below_kumo) ? tk_cross_strong_bearish_points : tk_cross_score
// == TK Cross / neutral bearish (inside kumo) ==
tk_cross_score := (tk_cross_bear and tk_cross_inside_kumo) ? tk_cross_neutral_bearish_points : tk_cross_score
// == TK Cross / weak bearish (above kumo) ==
tk_cross_score := (tk_cross_bear and tk_cross_above_kumo) ? tk_cross_weak_bearish_points : tk_cross_score
// == Price and Kijun Sen (standard line) Cross ==
//pk_cross_bull = (close[1] < Kijun[1] and close >= Kijun)
//pk_cross_bear = (close[1] > Kijun[1] and close <= Kijun)
pk_cross_bull = ta.crossover(close, Kijun)
pk_cross_bear = ta.crossunder(close, Kijun)
cross_pk_y = (close[1] * (Kijun - Kijun[1]) - Kijun[1] * (close - close[1])) / ((Kijun - Kijun[1]) - (close - close[1]))
pk_cross_below_kumo = cross_pk_y <= LeadingSpan_B[27] and cross_pk_y <= LeadingSpan_A[27] and cross_pk_y <= LeadingSpan_B[26] and cross_pk_y <= LeadingSpan_A[26]
pk_cross_above_kumo = cross_pk_y >= LeadingSpan_B[27] and cross_pk_y >= LeadingSpan_A[27] and cross_pk_y >= LeadingSpan_B[26] and cross_pk_y >= LeadingSpan_A[26]
pk_cross_inside_kumo = (not pk_cross_below_kumo) and (not pk_cross_above_kumo)
pk_cross_score = 0.0
pk_cross_score := resolve(pk_cross_score[1], 0)
pk_cross_weight = input.float(1.0, title="PS Cross Importance Weight", step=0.1)
pk_cross_weak_bullish_points = input.float(0.5, title="Ponderación Precio/Kijun Bullish débil", step=0.1)
pk_cross_neutral_bullish_points = input.float(1.0, title="Ponderación Precio/Kijun Bullish neutral", step=0.1)
pk_cross_strong_bullish_points = input.float(2.0, title="Ponderación Precio/Kijun Bullish fuerte", step=0.1)
pk_cross_weak_bearish_points = input.float(-0.5, title="Ponderación Precio/Kijun Bearish débil", step=0.1)
pk_cross_neutral_bearish_points = input.float(-1.0, title="Ponderación Precio/Kijun Bearish neutral", step=0.1)
pk_cross_strong_bearish_points = input.float(-2.0, title="Ponderación Precio/Kijun Bearish fuerte", step=0.1)
// == PK Cross / weak bullish (below kumo) ==
pk_cross_score := (pk_cross_bull and pk_cross_below_kumo) ? pk_cross_weak_bullish_points : pk_cross_score
// == PK Cross / neutral bullish (inside kumo)
pk_cross_score := (pk_cross_bull and pk_cross_inside_kumo) ? pk_cross_neutral_bullish_points : pk_cross_score
// == PK Cross / strong bullish (above kumo)
pk_cross_score := (pk_cross_bull and pk_cross_above_kumo) ? pk_cross_strong_bullish_points : pk_cross_score
// == PK Cross / strong bearish (below kumo)
pk_cross_score := (pk_cross_bear and pk_cross_below_kumo) ? pk_cross_strong_bearish_points : pk_cross_score
// == PK Cross / neutral bearish (inside kumo)
pk_cross_score := (pk_cross_bear and pk_cross_inside_kumo) ? pk_cross_neutral_bearish_points : pk_cross_score
// == PK Cross / weak bearish (above kumo)
pk_cross_score := (pk_cross_bear and pk_cross_above_kumo) ? pk_cross_weak_bearish_points : pk_cross_score
// == Kumo Breakouts ==
kumo_bull = (ta.crossover(close, LeadingSpan_A[26]) and LeadingSpan_A[26] > LeadingSpan_B[26]) or (ta.crossover(close, LeadingSpan_B[26]) and LeadingSpan_B[26] > LeadingSpan_A[26])
kumo_bear = (ta.crossunder(close, LeadingSpan_B[26]) and LeadingSpan_A[26] > LeadingSpan_B[26]) or (ta.crossunder(close, LeadingSpan_A[26]) and LeadingSpan_B[26] > LeadingSpan_A[26])
kumo_breakout_score = 0.0
kumo_breakout_score := resolve(kumo_breakout_score[1], 0)
kumo_breakout_weight = input.float(1.0, title="Importancia a salida de la nube", step=0.1)
kumo_breakout_bullish_points = input.float(1.0, title="Salida de la nube: Bullish", step=0.1)
kumo_breakout_bearish_points = input.float(-1.0, title="Salida de la nube: Bearish", step=0.1)
price_below_kumo = (close < LeadingSpan_B and close < LeadingSpan_A)
price_above_kumo = (close > LeadingSpan_B and close > LeadingSpan_A)
price_inside_kumo = (not price_below_kumo) and (not price_above_kumo)
kumo_breakout_score := (kumo_bull and price_above_kumo) ? kumo_breakout_bullish_points : kumo_breakout_score
kumo_breakout_score := (kumo_bear and price_below_kumo) ? kumo_breakout_bearish_points : kumo_breakout_score
lead_line_cross_bull = ta.crossover(LeadingSpan_A, LeadingSpan_B)
lead_line_cross_bear = ta.crossunder(LeadingSpan_A, LeadingSpan_B)
price_below_kumo := (close < LeadingSpan_B and close < LeadingSpan_A)
price_above_kumo := (close > LeadingSpan_B and close > LeadingSpan_A)
price_inside_kumo := (not price_below_kumo) and (not price_above_kumo)
span_cross_score = 0.0
span_cross_score := resolve(span_cross_score[1], 0)
span_cross_weight = input.float(1.0, title="Ponderación al cruce de nubes (Span A vs Span B)", step=0.1)
span_cross_weak_bullish_points = input.float(0.5, title="Ponderación de cruce de nubes Bullish débil", step=0.1)
span_cross_neutral_bullish_points = input.float(1.0, title="Ponderación de cruce de nubes Bullish neutral", step=0.1)
span_cross_strong_bullish_points = input.float(2.0, title="Ponderación de cruce de nubes Bullish fuerte", step=0.1)
span_cross_weak_bearish_points = input.float(-0.5, title="Ponderación de cruce de nubes Bearish débil", step=0.1)
span_cross_neutral_bearish_points = input.float(-1.0, title="Ponderación de cruce de nubes Bearish neutral", step=0.1)
span_cross_strong_bearish_points = input.float(-2.0, title="Ponderación de cruce de nubes Bearish fuerte", step=0.1)
// == Senkou Span Cross / weak bullish (price below kumo) ==
span_cross_score := (lead_line_cross_bull and price_below_kumo) ? span_cross_weak_bullish_points : span_cross_score
// == Senkou Span Cross / neutral bullish (price inside kumo) ==
span_cross_score := (lead_line_cross_bull and price_inside_kumo) ? span_cross_neutral_bullish_points : span_cross_score
// == Senkou Span Cross / strong bullish (price above kumo) ==
span_cross_score := (lead_line_cross_bull and price_above_kumo) ? span_cross_strong_bullish_points : span_cross_score
// == Senkou Span Cross / weak bearish (price above kumo) ==
span_cross_score := (lead_line_cross_bear and price_above_kumo) ? span_cross_weak_bearish_points : span_cross_score
// == Senkou Span Cross / neutral bearish (price inside kumo) ==
span_cross_score := (lead_line_cross_bear and price_inside_kumo) ? span_cross_neutral_bearish_points : span_cross_score
// == Senkou Span Cross / strong bearish (price below kumo) ==
span_cross_score := (lead_line_cross_bear and price_below_kumo) ? span_cross_strong_bearish_points : span_cross_score
past_price = close[26]
lag_line_bull_cross = close > close[26]
lag_line_bear_cross = close < close[26]
past_price_below_kumo = (past_price < LeadingSpan_B[26] and past_price < LeadingSpan_A[26])
past_price_above_kumo = (past_price > LeadingSpan_B[26] and past_price > LeadingSpan_A[26])
past_price_inside_kumo = (LeadingSpan_B[26] < past_price and past_price < LeadingSpan_A[26]) and (LeadingSpan_A[26] < past_price and past_price < LeadingSpan_B[26])
lag_line_cross_score = 0.0
lag_line_cross_score := resolve(lag_line_cross_score[1], 0)
lag_line_cross_weight = input.float(1.0, title="Ponderación Chikou Span", step=0.1)
lag_line_cross_weak_bullish_points = input.float(0.5, title="Ponderación cruce Chikou/precio Bullish débil", step=0.1)
lag_line_cross_neutral_bullish_points = input.float(1.0, title="Ponderación cruce Chikou/precio Bullish neutral", step=0.1)
lag_line_cross_strong_bullish_points = input.float(2.0, title="Ponderación cruce Chikou/precio Bullish fuerte", step=0.1)
lag_line_cross_weak_bearish_points = input.float(-0.5, title="Ponderación cruce Chikou/precio Bearish débil", step=0.1)
lag_line_cross_neutral_bearish_points = input.float(-1.0, title="Ponderación cruce Chikou/precio Bearish neutral", step=0.1)
lag_line_cross_strong_bearish_points = input.float(-2.0, title="Ponderación cruce Chikou/precio Bearish fuerte", step=0.1)
// == Chikou Span Cross / weak bullish (price below kumo)
lag_line_cross_score := (lag_line_bull_cross and past_price_below_kumo) ? lag_line_cross_weak_bullish_points : lag_line_cross_score
// == Chikou Span Cross / neutral bullish (price inside kumo)
lag_line_cross_score := (lag_line_bull_cross and past_price_inside_kumo) ? lag_line_cross_neutral_bullish_points : lag_line_cross_score
// == Chikou Span Cross / strong bullish (price above kumo)
lag_line_cross_score := (lag_line_bull_cross and past_price_above_kumo) ? lag_line_cross_strong_bullish_points : lag_line_cross_score
// == Chikou Span Cross / weak bearish (price above kumo)
lag_line_cross_score := (lag_line_bear_cross and past_price_above_kumo) ? lag_line_cross_weak_bearish_points : lag_line_cross_score
// == Chikou Span Cross / neutral bearish (price inside kumo)
lag_line_cross_score := (lag_line_bear_cross and past_price_inside_kumo) ? lag_line_cross_neutral_bearish_points : lag_line_cross_score
// == Chikou Span Cross / strong bearish (price below kumo)
lag_line_cross_score := (lag_line_bear_cross and past_price_below_kumo) ? lag_line_cross_strong_bearish_points : lag_line_cross_score
// == lag line releative to cloud ==
lag_line_location_weight = input.float(1.0, title="Importancia relativa del Chikou Span a la nube", step=0.1)
lag_line_location_above_points = input.float(1.0, title="Ponderación a Chikou Span sobre la nube", step=0.1)
lag_line_location_inside_points = input.float(0, title="Ponderación a Chikou Span al interior de la nube", step=0.1)
lag_line_location_below_points = input.float(-1.0, title="Ponderación a Chikou Span debajo la nube", step=0.1)
lag_line_placement_score = 0.0
lag_line_placement_score := resolve(lag_line_placement_score[1], 0)
lag_line_placement_score := past_price_above_kumo ? lag_line_location_above_points : lag_line_placement_score
lag_line_placement_score := past_price_inside_kumo ? lag_line_location_inside_points : lag_line_placement_score
lag_line_placement_score := past_price_below_kumo ? lag_line_location_below_points : lag_line_placement_score
// == price relative to cloud ==
price_placement_score = 0.0
price_placement_score := resolve(price_placement_score[1], 0)
price_location_weight = input.float(1.0, title="Importancia relativa del precio a la nube", step=0.1)
price_location_above_points = input.float(1.0, title="Ponderación al precio sobre la nube", step=0.1)
price_location_inside_points = input.float(0, title="Ponderación al precio en la nubes", step=0.1)
price_location_below_points = input.float(-1.0, title="Ponderación al precio debajo de la nube", step=0.1)
price_below_kumo := (close < LeadingSpan_B[26] and close < LeadingSpan_A[26])
price_above_kumo := (close > LeadingSpan_B[26] and close > LeadingSpan_A[26])
price_inside_kumo := (not price_below_kumo) and (not price_above_kumo)
price_placement_score := price_above_kumo ? price_location_above_points : price_placement_score
price_placement_score := price_inside_kumo ? price_location_inside_points : price_placement_score
price_placement_score := price_below_kumo ? price_location_below_points : price_placement_score
// == plot score ==
Ichilemoku_funct() =>
total_score = ( tk_cross_weight * tk_cross_score) (pk_cross_weight * pk_cross_score) (kumo_breakout_weight * kumo_breakout_score) (span_cross_weight * span_cross_score) (lag_line_cross_weight * lag_line_cross_score) (price_location_weight * price_placement_score)
total_score := total_score (lag_line_location_weight * lag_line_placement_score)
// Arreglos MTF
test_tf_4H = request.security(syminfo.tickerid, timeframe = '240', expression = Ichilemoku_funct())
plot(test_tf_4H, linewidth=3, title="Total Score", color = color.yellow)
plot(0, title="Base", style=plot.style_stepline, color = color.rgb(223, 223, 223, 20))
uj5u.com熱心網友回復：
理想情況下，您需要確保您正在執行的操作在安全呼叫的背景關系中正確完成。很可能您正在計算仍在傳遞給安全呼叫的全域背景關系中的某些內容，但這應該在安全呼叫的背景關系中完成。
以這個 kijun 計算為例。這確保 kijun 計算正確，就像在 4H 圖表上計算一樣，使用 26 個 4H 周期的 4H 圖表高/低值。這將為您提供與在圖表的時間范圍為 4 小時時在全域范圍內進行計算相同的結果。
f_kijun(_high, _low) =>
_kijun = (ta.highest(_high, 26) ta.lowest(_low, 26)) / 2
_kijun
mtf_kijun = request.security(syminfo.tickerid, "240", f_kijun(high, low))
plot(mtf_kijun)
可能需要將整個計算包裝到傳遞給安全呼叫的函式中，以確保total_score正確計算計算中參考的所有內容。
轉載請註明出處，本文鏈接：https://www.uj5u.com/caozuo/348442.html