一步数据版本1
//@version=5
indicator(title=”均线系统”, shorttitle=”均”, overlay=true)sma20 = ta.sma(close, 20)
sma60 = ta.sma(close, 60)
sma120 = ta.sma(close, 120)ema20 = ta.ema(close, 20)
ema60 = ta.ema(close, 60)
ema120 = ta.ema(close, 120)plot(sma20, color=color.black, title=”SMA20″)
plot(ema20, color=color.new(color.black, 50), title=”EMA20″)plot(sma60, color=color.blue, title=”SMA60″)
plot(ema60, color=color.new(color.blue, 50), title=”EMA60″)plot(sma120, color=color.purple, title=”SMA120″)
plot(ema120, color=color.new(color.purple, 50), title=”EMA120″)cond = barstate.islast
bl = low
moveBar = input(0, title=”Move Bar”)
x20 = input(20, title=”X20 Offset”) + moveBar
x60 = input(60, title=”X60 Offset”) + moveBar
x120 = input(120, title=”X120 Offset”) + moveBar版本2
//@version=5
indicator(title=”均线系统”, shorttitle=”均”, overlay=true)// 均线计算
sma20 = ta.sma(close, 20)
sma60 = ta.sma(close, 60)
sma120 = ta.sma(close, 120)ema20 = ta.ema(close, 20)
ema60 = ta.ema(close, 60)
ema120 = ta.ema(close, 120)// 绘制均线
plot(sma20, color=color.black, title=”SMA20″)
plot(ema20, color=color.new(color.black, 50), title=”EMA20″)plot(sma60, color=color.blue, title=”SMA60″)
plot(ema60, color=color.new(color.blue, 50), title=”EMA60″)plot(sma120, color=color.purple, title=”SMA120″)
plot(ema120, color=color.new(color.purple, 50), title=”EMA120″)// 显示当前K线的高低差值
diff = high – low // 差值计算
showLabel = input.bool(true, title=”显示高低差标签？”)// 条件：仅在最新K线上显示标签（或你可以改成每根都显示）
if showLabel and bar_index == ta.highest(bar_index, 1)
label.new(x=bar_index,
y=high,
text=”高低差: ” + str.tostring(diff, format.mintick),
style=label.style_label_down,
color=color.orange,
textcolor=color.white)// 原来的辅助变量
cond = barstate.islast
bl = low
moveBar = input(0, title=”Move Bar”)
x20 = input(20, title=”X20 Offset”) + moveBar
x60 = input(60, title=”X60 Offset”) + moveBar
x120 = input(120, title=”X120 Offset”) + moveBar
版本3：增加高低差标签
//@version=6
indicator(title=”均线系统”, shorttitle=”均”, overlay=true)// 均线计算
sma20 = ta.sma(close, 20)
sma60 = ta.sma(close, 60)
sma120 = ta.sma(close, 120)ema20 = ta.ema(close, 20)
ema60 = ta.ema(close, 60)
ema120 = ta.ema(close, 120)// 绘制均线
plot(sma20, color=color.black, title=”SMA20″)
plot(ema20, color=color.new(color.black, 50), title=”EMA20″)plot(sma60, color=color.blue, title=”SMA60″)
plot(ema60, color=color.new(color.blue, 50), title=”EMA60″)plot(sma120, color=color.purple, title=”SMA120″)
plot(ema120, color=color.new(color.purple, 50), title=”EMA120″)// 高低差值计算
diff = high – low
showLabel = input.bool(true, title=”显示高低差标签？”)
threshold = input.float(5.0, title=”最小差值显示标签”) // 可调阈值// 当差值大于等于阈值时显示标签
if showLabel and diff >= threshold
label.new(x=bar_index,
y=high,
text=”差: ” + str.tostring(diff, format.mintick),
style=label.style_label_down,
color=color.orange,
textcolor=color.white,
size=size.tiny)// 原来的辅助变量
cond = barstate.islast
bl = low
moveBar = input(0, title=”Move Bar”)
x20 = input(20, title=”X20 Offset”) + moveBar
x60 = input(60, title=”X60 Offset”) + moveBar
x120 = input(120, title=”X120 Offset”) + moveBar
版本4：黑和灰色两条线 突出显示
//@version=6
indicator(title=”均线系统”, shorttitle=”均”, overlay=true)// 均线计算
sma20 = ta.sma(close, 20)
sma60 = ta.sma(close, 60)
sma120 = ta.sma(close, 120)ema20 = ta.ema(close, 20)
ema60 = ta.ema(close, 60)
ema120 = ta.ema(close, 120)// ———– SMA20 和 EMA20 发光显示（橙色系） ———–
// 发光层：更宽、更透明
plot(sma20, title=”SMA20 Glow”, color=color.new(color.orange, 85), linewidth=5)
plot(ema20, title=”EMA20 Glow”, color=color.new(#cea1bb, 85), linewidth=5)// 辅助光晕层：中等透明度
plot(sma20, title=”SMA20 Glow 2″, color=color.new(color.orange, 60), linewidth=3)
plot(ema20, title=”EMA20 Glow 2″, color=color.new(#83817e, 60), linewidth=3)// 主线：清晰线条（黑色深）
plot(sma20, title=”SMA20″, color=color.rgb(14, 13, 13), linewidth=2)
plot(ema20, title=”EMA20″, color=color.new(#807e7c, 20), linewidth=2)// ———– 其他均线（原样保持） ———–
plot(sma60, color=color.blue, title=”SMA60″)
plot(ema60, color=color.new(color.blue, 50), title=”EMA60″)plot(sma120, color=color.purple, title=”SMA120″)
plot(ema120, color=color.new(color.purple, 50), title=”EMA120″)// 高低差值计算
diff = high – low
showLabel = input.bool(true, title=”显示高低差标签？”)
threshold = input.float(5.0, title=”最小差值显示标签”) // 可调阈值// 当差值大于等于阈值时显示标签
if showLabel and diff >= threshold
label.new(x=bar_index,
y=high,
text=”差: ” + str.tostring(diff, format.mintick),
style=label.style_label_down,
color=color.orange,
textcolor=color.white,
size=size.tiny)// 原来的辅助变量
cond = barstate.islast
bl = low
moveBar = input(0, title=”Move Bar”)
x20 = input(20, title=”X20 Offset”) + moveBar
x60 = input(60, title=”X60 Offset”) + moveBar
x120 = input(120, title=”X120 Offset”) + moveBar
版本5：增加最佳ema线
//@version=6
indicator(title = ‘EMA Finder & MA System’, shorttitle = ‘EF&MS’, overlay = true, max_bars_back = 1100)
// — Inputs from Best EMA Finder —
strategy_type = input.string(defval = ‘Long Only’, title = ‘Strategy Type (Best EMA Finder)’, options = [‘Buy & Sell’, ‘Long Only’])
min_trades = input.int(defval = 100, title = ‘Minimum Trades to Consider (Best EMA Finder)’, minval = 1)
show_table = input.bool(true, title = ‘Show Stats Table (Best EMA Finder)’)
// — Inputs from MA System —
showLabel = input.bool(true, title=”显示高低差标签？”)
threshold = input.float(5.0, title=”最小差值显示标签”) // 可调阈值
moveBar = input(0, title=”Move Bar (Unused)”)
x20 = input(20, title=”X20 Offset (Unused)”) + moveBar
x60 = input(60, title=”X60 Offset (Unused)”) + moveBar
x120 = input(120, title=”X120 Offset (Unused)”) + moveBar
// — Function to calculate robustness (from Best EMA Finder) —
f_robustness(pf, trades, win_rate, min_trades) =>
trades >= min_trades and not na(pf) and pf >= 0 and not na(win_rate) ? pf * math.log(trades) * math.sqrt(win_rate) : -1e10
// — Backtest function (from Best EMA Finder) —
backtest(ma_len) =>
xMA = ta.ema(close, ma_len)
var float entry_price_long = na
var float entry_price_short = na
var int total_trades = 0
var int winning_trades = 0
var float total_profit = 0.0
var float total_loss = 0.0
long_condition = ta.crossover(close, xMA)
short_condition = ta.crossunder(close, xMA)
float trade_profit = na
if strategy_type == ‘Buy & Sell’
if long_condition and na(entry_price_long) and na(entry_price_short)
entry_price_long := close
total_trades := total_trades + 1
else if short_condition and not na(entry_price_long)
trade_profit := close – entry_price_long
if trade_profit > 0
total_profit := total_profit + trade_profit
winning_trades := winning_trades + 1
else
total_loss := total_loss – trade_profit
entry_price_long := na
entry_price_short := close // Enter short position
total_trades := total_trades + 1
else if short_condition and na(entry_price_short) and na(entry_price_long) // This condition seems redundant if already handling short entries
entry_price_short := close
total_trades := total_trades + 1
else if long_condition and not na(entry_price_short)
trade_profit := entry_price_short – close
if trade_profit > 0
total_profit := total_profit + trade_profit
winning_trades := winning_trades + 1
else
total_loss := total_loss – trade_profit
entry_price_short := na
entry_price_long := close // Enter long position
total_trades := total_trades + 1
else // Long Only
if long_condition and na(entry_price_long)
entry_price_long := close
total_trades := total_trades + 1
else if short_condition and not na(entry_price_long)
trade_profit := close – entry_price_long
if trade_profit > 0
total_profit := total_profit + trade_profit
winning_trades := winning_trades + 1
else
total_loss := total_loss – trade_profit
entry_price_long := na // Close long position
float profit_factor = total_loss > 0 ? total_profit / total_loss : total_profit > 0 ? 10000.0 : 0
float win_rate = total_trades > 0 ? winning_trades / total_trades : 0.0
float robustness = f_robustness(profit_factor, total_trades, win_rate, min_trades)
[total_trades, profit_factor, win_rate, robustness]
// — Backtest over different periods (from Best EMA Finder) —
// Note: This part iterates over a fixed set of EMA lengths for robustness calculation.
// It is separate from the fixed MA lines drawn later.
[tt10, pf10, wr10, r10] = backtest(10)
[tt20, pf20, wr20, r20] = backtest(20)
[tt30, pf30, wr30, r30] = backtest(30)
[tt40, pf40, wr40, r40] = backtest(40)
[tt50, pf50, wr50, r50] = backtest(50)
[tt60, pf60, wr60, r60] = backtest(60)
[tt70, pf70, wr70, r70] = backtest(70)
[tt80, pf80, wr80, r80] = backtest(80)
[tt90, pf90, wr90, r90] = backtest(90)
[tt100, pf100, wr100, r100] = backtest(100)
[tt110, pf110, wr110, r110] = backtest(110)
[tt120, pf120, wr120, r120] = backtest(120)
[tt130, pf130, wr130, r130] = backtest(130)
[tt140, pf140, wr140, r140] = backtest(140)
[tt150, pf150, wr150, r150] = backtest(150)
[tt160, pf160, wr160, r160] = backtest(160)
[tt170, pf170, wr170, r170] = backtest(170)
[tt180, pf180, wr180, r180] = backtest(180)
[tt190, pf190, wr190, r190] = backtest(190)
[tt200, pf200, wr200, r200] = backtest(200)
[tt210, pf210, wr210, r210] = backtest(210)
[tt220, pf220, wr220, r220] = backtest(220)
[tt230, pf230, wr230, r230] = backtest(230)
[tt240, pf240, wr240, r240] = backtest(240)
[tt250, pf250, wr250, r250] = backtest(250)
[tt260, pf260, wr260, r260] = backtest(260)
[tt270, pf270, wr270, r270] = backtest(270)
[tt280, pf280, wr280, r280] = backtest(280)
[tt290, pf290, wr290, r290] = backtest(290)
[tt300, pf300, wr300, r300] = backtest(300)
[tt310, pf310, wr310, r310] = backtest(310)
[tt320, pf320, wr320, r320] = backtest(320)
[tt330, pf330, wr330, r330] = backtest(330)
[tt340, pf340, wr340, r340] = backtest(340)
[tt350, pf350, wr350, r350] = backtest(350)
[tt360, pf360, wr360, r360] = backtest(360)
[tt370, pf370, wr370, r370] = backtest(370)
[tt380, pf380, wr380, r380] = backtest(380)
[tt390, pf390, wr390, r390] = backtest(390)
[tt400, pf400, wr400, r400] = backtest(400)
[tt410, pf410, wr410, r410] = backtest(410)
[tt420, pf420, wr420, r420] = backtest(420)
[tt430, pf430, wr430, r430] = backtest(430)
[tt440, pf440, wr440, r440] = backtest(440)
[tt450, pf450, wr450, r450] = backtest(450)
[tt460, pf460, wr460, r460] = backtest(460)
[tt470, pf470, wr470, r470] = backtest(470)
[tt480, pf480, wr480, r480] = backtest(480)
[tt490, pf490, wr490, r490] = backtest(490)
[tt500, pf500, wr500, r500] = backtest(500)
// — Find the best EMA length (from Best EMA Finder) —
var float best_score = -1e10
var int best_len = na // Default to na, will be updated if a valid EMA is found
var int best_trades = na
var float best_pf = na
var float best_wr = na
var bool found_valid_len = false // Flag to track if any valid length was found
// This loop can be more concise, but keeping original structure for direct merge
if not na(r10) and r10 > best_score
best_score := r10
best_len := 10
best_trades := tt10
best_pf := pf10
best_wr := wr10
found_valid_len := true
if not na(r20) and r20 > best_score
best_score := r20
best_len := 20
best_trades := tt20
best_pf := pf20
best_wr := wr20
found_valid_len := true
if not na(r30) and r30 > best_score
best_score := r30
best_len := 30
best_trades := tt30
best_pf := pf30
best_wr := wr30
found_valid_len := true
if not na(r40) and r40 > best_score
best_score := r40
best_len := 40
best_trades := tt40
best_pf := pf40
best_wr := wr40
found_valid_len := true
if not na(r50) and r50 > best_score
best_score := r50
best_len := 50
best_trades := tt50
best_pf := pf50
best_wr := wr50
found_valid_len := true
if not na(r60) and r60 > best_score
best_score := r60
best_len := 60
best_trades := tt60
best_pf := pf60
best_wr := wr60
found_valid_len := true
if not na(r70) and r70 > best_score
best_score := r70
best_len := 70
best_trades := tt70
best_pf := pf70
best_wr := wr70
found_valid_len := true
if not na(r80) and r80 > best_score
best_score := r80
best_len := 80
best_trades := tt80
best_pf := pf80
best_wr := wr80
found_valid_len := true
if not na(r90) and r90 > best_score
best_score := r90
best_len := 90
best_trades := tt90
best_pf := pf90
best_wr := wr90
found_valid_len := true
if not na(r100) and r100 > best_score
best_score := r100
best_len := 100
best_trades := tt100
best_pf := pf100
best_wr := wr100
found_valid_len := true
if not na(r110) and r110 > best_score
best_score := r110
best_len := 110
best_trades := tt110
best_pf := pf110
best_wr := wr110
found_valid_len := true
if not na(r120) and r120 > best_score
best_score := r120
best_len := 120
best_trades := tt120
best_pf := pf120
best_wr := wr120
found_valid_len := true
if not na(r130) and r130 > best_score
best_score := r130
best_len := 130
best_trades := tt130
best_pf := pf130
best_wr := wr130
found_valid_len := true
if not na(r140) and r140 > best_score
best_score := r140
best_len := 140
best_trades := tt140
best_pf := pf140
best_wr := wr140
found_valid_len := true
if not na(r150) and r150 > best_score
best_score := r150
best_len := 150
best_trades := tt150
best_pf := pf150
best_wr := wr150
found_valid_len := true
if not na(r160) and r160 > best_score
best_score := r160
best_len := 160
best_trades := tt160
best_pf := pf160
best_wr := wr160
found_valid_len := true
if not na(r170) and r170 > best_score
best_score := r170
best_len := 170
best_trades := tt170
best_pf := pf170
best_wr := wr170
found_valid_len := true
if not na(r180) and r180 > best_score
best_score := r180
best_len := 180
best_trades := tt180
best_pf := pf180
best_wr := wr180
found_valid_len := true
if not na(r190) and r190 > best_score
best_score := r190
best_len := 190
best_trades := tt190
best_pf := pf190
best_wr := wr190
found_valid_len := true
if not na(r200) and r200 > best_score
best_score := r200
best_len := 200
best_trades := tt200
best_pf := pf200
best_wr := wr200
found_valid_len := true
if not na(r210) and r210 > best_score
best_score := r210
best_len := 210
best_trades := tt210
best_pf := pf210
best_wr := wr210
found_valid_len := true
if not na(r220) and r220 > best_score
best_score := r220
best_len := 220
best_trades := tt220
best_pf := pf220
best_wr := wr220
found_valid_len := true
if not na(r230) and r230 > best_score
best_score := r230
best_len := 230
best_trades := tt230
best_pf := pf230
best_wr := wr230
found_valid_len := true
if not na(r240) and r240 > best_score
best_score := r240
best_len := 240
best_trades := tt240
best_pf := pf240
best_wr := wr240
found_valid_len := true
if not na(r250) and r250 > best_score
best_score := r250
best_len := 250
best_trades := tt250
best_pf := pf250
best_wr := wr250
found_valid_len := true
if not na(r260) and r260 > best_score
best_score := r260
best_len := 260
best_trades := tt260
best_pf := pf260
best_wr := wr260
found_valid_len := true
if not na(r270) and r270 > best_score
best_score := r270
best_len := 270
best_trades := tt270
best_pf := pf270
best_wr := wr270
found_valid_len := true
if not na(r280) and r280 > best_score
best_score := r280
best_len := 280
best_trades := tt280
best_pf := pf280
best_wr := wr280
found_valid_len := true
if not na(r290) and r290 > best_score
best_score := r290
best_len := 290
best_trades := tt290
best_pf := pf290
best_wr := wr290
found_valid_len := true
if not na(r300) and r300 > best_score
best_score := r300
best_len := 300
best_trades := tt300
best_pf := pf300
best_wr := wr300
found_valid_len := true
if not na(r310) and r310 > best_score
best_score := r310
best_len := 310
best_trades := tt310
best_pf := pf310
best_wr := wr310
found_valid_len := true
if not na(r320) and r320 > best_score
best_score := r320
best_len := 320
best_trades := tt320
best_pf := pf320
best_wr := wr320
found_valid_len := true
if not na(r330) and r330 > best_score
best_score := r330
best_len := 330
best_trades := tt330
best_pf := pf330
best_wr := wr330
found_valid_len := true
if not na(r340) and r340 > best_score
best_score := r340
best_len := 340
best_trades := tt340
best_pf := pf340
best_wr := wr340
found_valid_len := true
if not na(r350) and r350 > best_score
best_score := r350
best_len := 350
best_trades := tt350
best_pf := pf350
best_wr := wr350
found_valid_len := true
if not na(r360) and r360 > best_score
best_score := r360
best_len := 360
best_trades := tt360
best_pf := pf360
best_wr := wr360
found_valid_len := true
if not na(r370) and r370 > best_score
best_score := r370
best_len := 370
best_trades := tt370
best_pf := pf370
best_wr := wr370
found_valid_len := true
if not na(r380) and r380 > best_score
best_score := r380
best_len := 380
best_trades := tt380
best_pf := pf380
best_wr := wr380
found_valid_len := true
if not na(r390) and r390 > best_score
best_score := r390
best_len := 390
best_trades := tt390
best_pf := pf390
best_wr := wr390
found_valid_len := true
if not na(r400) and r400 > best_score
best_score := r400
best_len := 400
best_trades := tt400
best_pf := pf400
best_wr := wr400
found_valid_len := true
if not na(r410) and r410 > best_score
best_score := r410
best_len := 410
best_trades := tt410
best_pf := pf410
best_wr := wr410
found_valid_len := true
if not na(r420) and r420 > best_score
best_score := r420
best_len := 420
best_trades := tt420
best_pf := pf420
best_wr := wr420
found_valid_len := true
if not na(r430) and r430 > best_score
best_score := r430
best_len := 430
best_trades := tt430
best_pf := pf430
best_wr := wr430
found_valid_len := true
if not na(r440) and r440 > best_score
best_score := r440
best_len := 440
best_trades := tt440
best_pf := pf440
best_wr := wr440
found_valid_len := true
if not na(r450) and r450 > best_score
best_score := r450
best_len := 450
best_trades := tt450
best_pf := pf450
best_wr := wr450
found_valid_len := true
if not na(r460) and r460 > best_score
best_score := r460
best_len := 460
best_trades := tt460
best_pf := pf460
best_wr := wr460
found_valid_len := true
if not na(r470) and r470 > best_score
best_score := r470
best_len := 470
best_trades := tt470
best_pf := pf470
best_wr := wr470
found_valid_len := true
if not na(r480) and r480 > best_score
best_score := r480
best_len := 480
best_trades := tt480
best_pf := pf480
best_wr := wr480
found_valid_len := true
if not na(r490) and r490 > best_score
best_score := r490
best_len := 490
best_trades := tt490
best_pf := pf490
best_wr := wr490
found_valid_len := true
if not na(r500) and r500 > best_score
best_score := r500
best_len := 500
best_trades := tt500
best_pf := pf500
best_wr := wr500
found_valid_len := true
// — Precalculate EMAs for Best EMA Finder (from Best EMA Finder) —
// These are specifically for selecting the “best_len”
ema10 = ta.ema(close, 10)
ema20_calc = ta.ema(close, 20) // Renamed to avoid conflict with MA System’s ema20
ema30 = ta.ema(close, 30)
ema40 = ta.ema(close, 40)
ema50 = ta.ema(close, 50)
ema60_calc = ta.ema(close, 60) // Renamed to avoid conflict with MA System’s ema60
ema70 = ta.ema(close, 70)
ema80 = ta.ema(close, 80)
ema90 = ta.ema(close, 90)
ema100 = ta.ema(close, 100)
ema110 = ta.ema(close, 110)
ema120_calc = ta.ema(close, 120) // Renamed to avoid conflict with MA System’s ema120
ema130 = ta.ema(close, 130)
ema140 = ta.ema(close, 140)
ema150 = ta.ema(close, 150)
ema160 = ta.ema(close, 160)
ema170 = ta.ema(close, 170)
ema180 = ta.ema(close, 180)
ema190 = ta.ema(close, 190)
ema200 = ta.ema(close, 200)
ema210 = ta.ema(close, 210)
ema220 = ta.ema(close, 220)
ema230 = ta.ema(close, 230)
ema240 = ta.ema(close, 240)
ema250 = ta.ema(close, 250)
ema260 = ta.ema(close, 260)
ema270 = ta.ema(close, 270)
ema280 = ta.ema(close, 280)
ema290 = ta.ema(close, 290)
ema300 = ta.ema(close, 300)
ema310 = ta.ema(close, 310)
ema320 = ta.ema(close, 320)
ema330 = ta.ema(close, 330)
ema340 = ta.ema(close, 340)
ema350 = ta.ema(close, 350)
ema360 = ta.ema(close, 360)
ema370 = ta.ema(close, 370)
ema380 = ta.ema(close, 380)
ema390 = ta.ema(close, 390)
ema400 = ta.ema(close, 400)
ema410 = ta.ema(close, 410)
ema420 = ta.ema(close, 420)
ema430 = ta.ema(close, 430)
ema440 = ta.ema(close, 440)
ema450 = ta.ema(close, 450)
ema460 = ta.ema(close, 460)
ema470 = ta.ema(close, 470)
ema480 = ta.ema(close, 480)
ema490 = ta.ema(close, 490)
ema500 = ta.ema(close, 500)
// Select correct EMA based on best_len (from Best EMA Finder)
selected_ema = na(best_len) ? na :
best_len == 10 ? ema10 :
best_len == 20 ? ema20_calc : // Use renamed variable
best_len == 30 ? ema30 :
best_len == 40 ? ema40 :
best_len == 50 ? ema50 :
best_len == 60 ? ema60_calc : // Use renamed variable
best_len == 70 ? ema70 :
best_len == 80 ? ema80 :
best_len == 90 ? ema90 :
best_len == 100 ? ema100 :
best_len == 110 ? ema110 :
best_len == 120 ? ema120_calc : // Use renamed variable
best_len == 130 ? ema130 :
best_len == 140 ? ema140 :
best_len == 150 ? ema150 :
best_len == 160 ? ema160 :
best_len == 170 ? ema170 :
best_len == 180 ? ema180 :
best_len == 190 ? ema190 :
best_len == 200 ? ema200 :
best_len == 210 ? ema210 :
best_len == 220 ? ema220 :
best_len == 230 ? ema230 :
best_len == 240 ? ema240 :
best_len == 250 ? ema250 :
best_len == 260 ? ema260 :
best_len == 270 ? ema270 :
best_len == 280 ? ema280 :
best_len == 290 ? ema290 :
best_len == 300 ? ema300 :
best_len == 310 ? ema310 :
best_len == 320 ? ema320 :
best_len == 330 ? ema330 :
best_len == 340 ? ema340 :
best_len == 350 ? ema350 :
best_len == 360 ? ema360 :
best_len == 370 ? ema370 :
best_len == 380 ? ema380 :
best_len == 390 ? ema390 :
best_len == 400 ? ema400 :
best_len == 410 ? ema410 :
best_len == 420 ? ema420 :
best_len == 430 ? ema430 :
best_len == 440 ? ema440 :
best_len == 450 ? ema450 :
best_len == 460 ? ema460 :
best_len == 470 ? ema470 :
best_len == 480 ? ema480 :
best_len == 490 ? ema490 :
best_len == 500 ? ema500 : na
// — Fixed Moving Averages and Glow Effect (from MA System) —
// 均线计算
sma20 = ta.sma(close, 20)
sma60 = ta.sma(close, 60)
sma120 = ta.sma(close, 120)
ema20 = ta.ema(close, 20)
ema60 = ta.ema(close, 60)
ema120 = ta.ema(close, 120)
// SMA20 和 EMA20 发光显示（橙色系）- Glow layers first
plot(sma20, title=”SMA20 Glow”, color=color.new(color.orange, 85), linewidth=5)
plot(ema20, title=”EMA20 Glow”, color=color.new(#cea1bb, 85), linewidth=5)
// 辅助光晕层：中等透明度
plot(sma20, title=”SMA20 Glow 2″, color=color.new(color.orange, 60), linewidth=3)
plot(ema20, title=”EMA20 Glow 2″, color=color.new(#83817e, 60), linewidth=3)
// 主线：清晰线条（黑色深）
plot(sma20, title=”SMA20″, color=color.rgb(14, 13, 13), linewidth=2)
plot(ema20, title=”EMA20″, color=color.new(#807e7c, 20), linewidth=2)
// 其他均线（原样保持）
plot(sma60, color=color.blue, title=”SMA60″)
plot(ema60, color=color.new(color.blue, 50), title=”EMA60″)
plot(sma120, color=color.purple, title=”SMA120″)
plot(ema120, color=color.new(color.purple, 50), title=”EMA120″)
// — Plot selected EMA (from Best EMA Finder) —
// Plot this after other MAs to ensure it appears on top if colors are similar
plot(selected_ema, color = color.rgb(100, 243, 33), title = ‘Optimal EMA’, linewidth = 2)
// — High-Low Difference Label (from MA System) —
diff = high – low
if showLabel and diff >= threshold
label.new(x=bar_index,
y=high,
text=”差: ” + str.tostring(diff, format.mintick),
style=label.style_label_down,
color=color.orange,
textcolor=color.white,
size=size.tiny)
// — Stats Table (from Best EMA Finder) —
var table stats_table = table.new(position = position.top_right, columns = 2, rows = 5, bgcolor = color.new(color.black, 85), border_width = 1)
if barstate.islast and show_table
if not na(best_len)
table.cell(stats_table, 0, 0, ‘Best EMA Length’, text_color = color.white)
table.cell(stats_table, 1, 0, str.tostring(best_len), text_color = color.white)
table.cell(stats_table, 0, 1, ‘Total Trades’, text_color = color.white)
table.cell(stats_table, 1, 1, str.tostring(best_trades), text_color = color.white)
table.cell(stats_table, 0, 2, ‘Profit Factor’, text_color = color.white)
table.cell(stats_table, 1, 2, str.tostring(best_pf, ‘#.##’), text_color = color.white)
table.cell(stats_table, 0, 3, ‘Win Rate (%)’, text_color = color.white)
table.cell(stats_table, 1, 3, str.tostring(best_wr * 100, ‘#.#’), text_color = color.white)
table.cell(stats_table, 0, 4, ‘Robustness’, text_color = color.white)
table.cell(stats_table, 1, 4, str.tostring(best_score, ‘#.##’), text_color = color.white)
else
table.cell(stats_table, 0, 0, ‘Best EMA Length’, text_color = color.gray)
table.cell(stats_table, 1, 0, ‘Calculating…’, text_color = color.gray)
table.cell(stats_table, 0, 1, ‘Total Trades’, text_color = color.gray)
table.cell(stats_table, 1, 1, ‘–‘, text_color = color.gray)
table.cell(stats_table, 0, 2, ‘Profit Factor’, text_color = color.gray)
table.cell(stats_table, 1, 2, ‘–‘, text_color = color.gray)
table.cell(stats_table, 0, 3, ‘Win Rate (%)’, text_color = color.gray)
table.cell(stats_table, 1, 3, ‘–‘, text_color = color.gray)
table.cell(stats_table, 0, 4, ‘Robustness’, text_color = color.gray)
table.cell(stats_table, 1, 4, ‘–‘, text_color = color.gray)
