ChaoZhang
本文将详细介绍一种针对数字货币设计的多指标量化交易策略。该策略综合使用均线、振荡器、通道等指标进行入场判断和风险控制。
一、策略原理
该策略主要应用以下几类指标:
ROC振荡器判断价格的超买超卖区间;
唐奇安通道构建动态的支撑和阻力;
熊力指标判断底部特征;
平衡能量指标判断多空趋势;
移动平均线进行趋势过滤。
只有当多个指标信号达成一致时,才会形成最终的入场判断。同时设置止盈止损点来控制单笔交易的风险。
二、策略优势
该策略最大的优势在于指标互补,从多个维度判断趋势和关键点位。
另一个优势是止盈止损设置直接合理,有助于积极的资金管理。
最后,参数空间广泛,可针对数字货币进行细致优化。
三、潜在风险
但该策略也存在以下问题:
首先,多指标组合增加了参数优化的难度。
其次,指标之间可能出现分歧,需要设定清晰的判断规则。
最后,需要针对特定品种进行参数优化。
四、内容总结
本文详细介绍了一种专门针对数字货币设计的多指标量化策略。它合理运用多种指标进行风险控制和获利管理。该策略可以通过参数优化获得稳定收益,但也需要注意防控优化难度及指标使用问题。
策略源码
/*backtest
start: 2023-09-07 00:00:00
end: 2023-09-14 00:00:00
period: 4m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © mbagheri746
//@version=4
strategy("Bagheri IG Ether", overlay=true, margin_long=100, margin_short=100)
TP = input(3000, minval = 1 , title ="Take Profit")
SL = input(3443, minval = 1 , title ="Stop Loss")
//_________________ RoC Definition _________________
rocLength = input(title="ROC Length", type=input.integer, minval=1, defval=185)
smoothingLength = input(title="Smoothing Length", type=input.integer, minval=1, defval=49)
src = input(title="Source", type=input.source, defval=close)
ma = ema(src, smoothingLength)
mom = change(ma, rocLength)
sroc = nz(ma[rocLength]) == 0
? 100
: mom == 0
? 0
: 100 * mom / ma[rocLength]
//srocColor = sroc >= 0 ? #0ebb23 : color.red
//plot(sroc, title="SROC", linewidth=2, color=srocColor, transp=0)
//hline(0, title="Zero Level", linestyle=hline.style_dotted, color=#989898)
//_________________ Donchian Channel _________________
length1 = input(43, minval=1, title="Upper Channel")
length2 = input(43, minval=1, title="Lower Channel")
offset_bar = input(90,minval=0, title ="Offset Bars")
upper = highest(length1)
lower = lowest(length2)
basis = avg(upper, lower)
DC_UP_Band = upper[offset_bar]
DC_LW_Band = lower[offset_bar]
l = plot(DC_LW_Band, style=plot.style_line, linewidth=2, color=color.red)
u = plot(DC_UP_Band, style=plot.style_line, linewidth=2, color=color.aqua)
fill(l,u,color = color.new(color.aqua,transp = 90))
//_________________ Bears Power _________________
wmaBP_period = input(61,minval=1,title="BearsP WMA Period")
line_wma = ema(close, wmaBP_period)
BP = low - line_wma
//_________________ Balance of Power _________________
ES_BoP=input(15, title="BoP Exponential Smoothing")
BOP=(close - open) / (high - low)
SBOP = rma(BOP, ES_BoP)
//_________________ Alligator _________________
//_________________ CCI _________________
//_________________ Moving Average _________________
sma_period = input(74, minval = 1 , title = "SMA Period")
sma_shift = input(37, minval = 1 , title = "SMA Shift")
sma_primary = sma(close,sma_period)
SMA_sh = sma_primary[sma_shift]
plot(SMA_sh, style=plot.style_line, linewidth=2, color=color.yellow)
//_________________ Long Entry Conditions _________________//
MA_Lcnd = SMA_sh > low and SMA_sh < high
ROC_Lcnd = sroc < 0
DC_Lcnd = open < DC_LW_Band
BP_Lcnd = BP[1] < BP[0] and BP[1] < BP[2]
BOP_Lcnd = SBOP[1] < SBOP[0]
//_________________ Short Entry Conditions _________________//
MA_Scnd = SMA_sh > low and SMA_sh < high
ROC_Scnd = sroc > 0
DC_Scnd = open > DC_UP_Band
BP_Scnd = BP[1] > BP[0] and BP[1] > BP[2]
BOP_Scnd = SBOP[1] > SBOP[0]
//_________________ OPEN POSITION __________________//
strategy.entry(id = "BUY", long = true , when = MA_Lcnd and ROC_Lcnd and DC_Lcnd and BP_Lcnd and BOP_Lcnd)
strategy.entry(id = "SELL", long = false , when = MA_Scnd and ROC_Scnd and DC_Scnd and BP_Scnd and BOP_Scnd)
//_________________ CLOSE POSITION __________________//
strategy.exit(id = "CLOSE BUY", from_entry = "BUY", profit = TP , loss = SL)
strategy.exit(id = "CLOSE SELL", from_entry = "SELL" , profit = TP , loss = SL)
//_________________ TP and SL Plot __________________//
currentPL= strategy.openprofit
pos_price = strategy.position_avg_price
open_pos = strategy.position_size
TP_line = (strategy.position_size > 0) ? (pos_price + TP/100) : strategy.position_size < 0 ? (pos_price - TP/100) : 0.0
SL_line = (strategy.position_size > 0) ? (pos_price - SL/100) : strategy.position_size < 0 ? (pos_price + SL/100) : 0.0
// hline(TP_line, title = "Take Profit", color = color.green , linestyle = hline.style_dotted, editable = false)
// hline(SL_line, title = "Stop Loss", color = color.red , linestyle = hline.style_dotted, editable = false)
Tline = plot(TP_line != 0.0 ? TP_line : na , title="Take Profit", color=color.green, trackprice = true, show_last = 1)
Sline = plot(SL_line != 0.0 ? SL_line : na, title="Stop Loss", color=color.red, trackprice = true, show_last = 1)
Pline = plot(pos_price != 0.0 ? pos_price : na, title="Stop Loss", color=color.gray, trackprice = true, show_last = 1)
fill(Tline , Pline, color = color.new(color.green,transp = 90))
fill(Sline , Pline, color = color.new(color.red,transp = 90))
//_________________ Label __________________//
inMyPrice = input(title="My Price", type=input.float, defval=0)
inLabelStyle = input(title="Label Style", options=["Upper Right", "Lower Right"], defval="Lower Right")
posColor = color.new(color.green, 25)
negColor = color.new(color.red, 25)
dftColor = color.new(color.aqua, 25)
posPnL = (strategy.position_size != 0) ? (close * 100 / strategy.position_avg_price - 100) : 0.0
posDir = (strategy.position_size > 0) ? "long" : strategy.position_size < 0 ? "short" : "flat"
posCol = (posPnL > 0) ? posColor : (posPnL < 0) ? negColor : dftColor
myPnL = (inMyPrice != 0) ? (close * 100 / inMyPrice - 100) : 0.0
var label lb = na
label.delete(lb)
lb := label.new(bar_index, close,
color=posCol,
style=inLabelStyle=="Lower Right"?label.style_label_upper_left:label.style_label_lower_left,
text=
"╔═══════╗" +"\n" +
"Pos: " +posDir +"\n" +
"Pos Price: "+tostring(strategy.position_avg_price) +"\n" +
"Pos PnL: " +tostring(posPnL, "0.00") + "%" +"\n" +
"My Price: " +tostring(inMyPrice) +"\n" +
"My PnL: " +tostring(myPnL, "0.00") + "%" +"\n" +
"╚═══════╝")