ChaoZhang
概述
拉回反转霸王策略是一个利用均线、MACD、RSI和ADX等指标捕捉趋势反转,在回拉阶段进行入场的策略。它专门针对激进型霸王,利用其常见的拉回特征进行反转操作。
策略原理
该策略利用EMA均线判断整体趋势方向,以及构建趋势强弱区域。当价格从强势区域拉回至弱势区域时,策略判断趋势存在反转机会。
为过滤误入,策略加入MACD指标判断短期反转信号。MACD绝对值大于一定幅度时,认为反转机会增大。同时,要求ADX值高于某水平,确保目前处于趋势市场而非盘整市场。
最后,RSI指标的作用是避免买入超买区域,和卖出超卖区域。RSI值限定在一定范围内时,才产生信号。
每次EMA均线交叉时,策略交易次数清零。同时可设定每次交叉的最大交易数,避免反复交易。
当条件满足时,根据止损与止盈比例设定委托单,进行反转交易。
优势分析
该策略最大优势是利用EMA构建的强弱区域,捕捉激进霸王的拉回特征。运用多种指标过滤误入,可靠度较高。
相比单一震荡指标,该策略加入趋势判断,能减少不必要反转。同时控制每次EMA交叉的最大交易数,可避免反复交易增大亏损。
风险分析
该策略最大风险在于霸王没有拉回的情况。如果霸王直接突破EMA继续上涨或下跌,该策略就会产生错误信号并入场反向。此时需要止损来控制损失。
另外,指标参数不合理也会导致信号质量下降。需要反复测试优化参数,使之适合不同市场情况。
最后,止损幅度设定过大,或者反转后继续激进震荡,都可能扩大单笔损失。这需要合理止损,以及加强风险管理。
优化方向
该策略可以从以下方面进行优化:
测试不同市场及参数,使EMA能更准确判断趋势;
优化MACD参数,使其反转信号更准确可靠;
调整RSI参数范围,避免过于激进的超买超卖区域;
优化止损止盈比例,降低单次亏损风险。
总结
拉回反转霸王策略专门针对激进霸王的拉回特征进行反转操做,能有效抓住短期反转机会。它利用EMA多重过滤判断趋势方向及强弱;并用MACD、RSI等指标进行入场确认,可靠性较高。通过参数测试与优化,能够适应不同市场环境,是一个非常实用的趋势反转策略。
策略源码
/*backtest
start: 2023-09-16 00:00:00
end: 2023-10-16 00:00:00
period: 3h
basePeriod: 15m
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/
// © npietronuto1
//@version=5
strategy("Hulk Scalper x35 Leverage", shorttitle = "Smash Pullback Strat", overlay=true, initial_capital=100, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//RSI
rsiLength = input.int(20)
RsiTopInput = input.int(2)
RsiBotInput = input.int(-2)
// toprsiLine = hline(RsiTopInput, title = "Rsi Top Line", linestyle = hline.style_solid)
// botrsiLine = hline(RsiBotInput, title = "Rsi Bottom Line", linestyle = hline.style_solid)
rsi = ta.rsi(close, rsiLength)
rsiWeighted = rsi - 50 //Zeros Rsi to look nicer
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
adxlen = input(14, title="ADX Smoothing")
dilen = input(14, title="DI Length")
dirmov(len) =>
up = ta.change(high)
down = -ta.change(low)
plusDM = na(up) ? na : (up > down and up > 0 ? up : 0)
minusDM = na(down) ? na : (down > up and down > 0 ? down : 0)
truerange = ta.rma(ta.tr, len)
plus = fixnan(100 * ta.rma(plusDM, len) / truerange)
minus = fixnan(100 * ta.rma(minusDM, len) / truerange)
[plus, minus]
adx(dilen, adxlen) =>
[plus, minus] = dirmov(dilen)
sum = plus + minus
adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen)
sig = adx(dilen, adxlen)
ADXfilterlevel = input.int(33, title = "ADX filter amount")
// plot(sig, color=color.red, title="ADX")
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//MACD
FastMacdLength = input.int(12, group = "MACD")
SlowMacdLength = input.int(26, group = "MACD")
SignalLength = input.int(11, group = "MACD")
MacdTickAmountNeeded = input.float(5.45, title = "Tick Amount for entry", group = "MACD")
res = input.timeframe("1", group = "MACD")
// bullishgrow_col = input.color(defval = #3179f5)
// bullishweaken_col = input.color(defval = #00e1ff)
// bearishweaken_col = input.color(defval = #ff01f1)
// bearishgrow_col = input.color(defval = #9d00e5)
[FastMacd, SlowMacd, Macdhist] = ta.macd(close, FastMacdLength, SlowMacdLength, SignalLength)
//Pull MACD from Lower timeframe
MACD = request.security(syminfo.tickerid, res, Macdhist, gaps = barmerge.gaps_on)
//Grow and Fall Color
// getgrow_fall_col(Value) =>
// if Value >= 0
// if Value >= Value[1]
// color.new(bullishgrow_col, transp = 10)
// else if Value <= Value[1]
// color.new(bullishweaken_col, transp = 10)
// else if Value <= 0
// if Value <= Value[1]
// color.new(bearishgrow_col, transp = 10)
// else if Value >= Value[1]
// color.new(bearishweaken_col, transp = 10)
//CONDITIONS that check if MACD is overbought or oversold
MACDisAboveBand = MACD > MacdTickAmountNeeded
MACDisBelowBand = MACD < MacdTickAmountNeeded*-1
//Plot
// plot(MACD, style = plot.style_columns, color = getgrow_fall_col(MACD))
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//EMAs
//Inputs
EmaFastLength = input.int(50, title = "Ema Fast Length")
EmaSlowLength = input.int(200, title = "Ema Slow Length")
StrongUpTrendCol = input.color(color.rgb(74, 255, 163))
//WeakUptrend = input.color(color.rgb(74, 255, 163, 50))
StrongDownTrendCol = input.color(color.rgb(255, 71, 84))
//WeakDownTrend = input.color(color.rgb(255, 71, 84, 50))
//Calculations
emaFast= ta.ema(close, EmaFastLength)
emaSlow= ta.ema(close, EmaSlowLength)
emaDist=emaFast-emaSlow
EmaLengthFraction = emaDist/4
emafrac5 = emaSlow + EmaLengthFraction
emafrac4 = emaSlow + EmaLengthFraction*2
emafrac3 = emaSlow + EmaLengthFraction*3
emafrac2 = emaSlow + EmaLengthFraction*4
UptrendCol_DowntrendCol= emaFast>=emaSlow ? StrongUpTrendCol:StrongDownTrendCol
//Plot
ema1p = plot(emaFast, color = color.new(#000000, transp = 100))
ema2p = plot(emafrac2, color = color.new(#000000, transp = 100))
ema3p = plot(emafrac3, color = color.new(#000000, transp = 100))
ema4p = plot(emafrac4, color = color.new(#000000, transp = 100))
ema5p = plot(emafrac5, color = color.new(#000000, transp = 100))
ema6p = plot(emaSlow, color = color.new(#000000, transp = 100))
fill(ema2p,ema3p, color = color.new(UptrendCol_DowntrendCol, 70))
fill(ema3p,ema4p, color = color.new(UptrendCol_DowntrendCol, 60))
fill(ema4p,ema5p, color = color.new(UptrendCol_DowntrendCol, 50))
fill(ema5p,ema6p, color = color.new(UptrendCol_DowntrendCol, 40))
//Conditons
FastEma_above_SlowEma = emaFast > emaSlow
FastEma_below_SlowEma = emaFast < emaSlow
emaCrossEvent = ta.crossover(emaFast, emaSlow) or ta.crossover(emaSlow, emaFast)
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//Trade Cap per EMA X
//Inputs
MaxTrades_PerCross_Checkbox = input.bool(true, "Limit Trades Per Cross", group = "Filters")
TrdCount = 0//Variable that keeps current trade count
if(TrdCount[1] > 0)//Passes variable on to current candle
TrdCount := TrdCount[1]
//Reset trade count if EMAs X
emaXevent = ta.crossover(emaFast, emaSlow) or ta.crossover(emaSlow, emaFast) // Check for EMA cross
if(emaXevent)
TrdCount := 0
//Conditions
MaxTrades = input.int(6)
IsMaxTrades_BelowCap = TrdCount[1] < MaxTrades //Condition that applies max trade count
if(not MaxTrades_PerCross_Checkbox)
IsMaxTrades_BelowCap := true
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//------------------------------------------------------------------------------------------------------------------------------------------------------------------------
//STRATEGY LOGIC
//Parameters
TakeProfitInput = input.float(0.0135, title = "Take Profit %", group = "TP/SL")
StopLossInput = input.float(0.011, title = "Stop Loss %", group = "TP/SL")
//TP/SL calculations
Long_takeProfit = close * (1 + TakeProfitInput)
Long_stopLoss = close * (1 - StopLossInput)
Short_takeProfit = close * (1 - TakeProfitInput)
Short_stopLoss = close * (1 + StopLossInput)
//LONG and Short
LongConditionPt1 = close > emaSlow and MACDisBelowBand and sig > ADXfilterlevel
LongConditionPt2 = FastEma_above_SlowEma and IsMaxTrades_BelowCap and strategy.position_size == 0
//Checks if Rsi Inbetween Lines
LongConditionPt3 = rsiWeighted < RsiTopInput and rsiWeighted > RsiBotInput
ShortConditionPt1 = close < emaSlow and MACDisAboveBand and sig > ADXfilterlevel
ShortConditionPt2 = FastEma_below_SlowEma and IsMaxTrades_BelowCap and strategy.position_size == 0
//Checks if Rsi Inbetween Lines
ShortConditionPt3 = rsiWeighted < RsiTopInput and rsiWeighted > RsiBotInput
// longCondition = FastEma_above_SlowEma and MACDisBelowBand and IsMaxTrades_BelowCap and rsiWeighted < RsiTopInput and strategy.position_size == 0
longCondition = LongConditionPt1 and LongConditionPt2 and LongConditionPt3
if(longCondition)
strategy.entry("long", strategy.long)
strategy.exit("exit", "long", limit = Long_takeProfit, stop = Long_stopLoss)
TrdCount := TrdCount + 1//ADD to Max Trades Count
alert("Go Long with TP at" + str.tostring(Long_takeProfit) + "and SL at" + str.tostring(Long_stopLoss), alert.freq_once_per_bar_close)
shortCondition = ShortConditionPt1 and ShortConditionPt2 and ShortConditionPt3
if(shortCondition )
strategy.entry("short", strategy.short)
strategy.exit("exit", "short", limit = Short_takeProfit, stop = Short_stopLoss)
TrdCount := TrdCount + 1 //ADD to Max Trades Count
alert("Go Short with TP at" + str.tostring(Short_takeProfit) + "and SL at" + str.tostring(Short_stopLoss), alert.freq_once_per_bar_close)