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  2. एमए ताकत ट्रेंड ट्रैकिंग की मात्रात्मक रणनीति

एमए ताकत ट्रेंड ट्रैकिंग की मात्रात्मक रणनीति

लेखक:चाओझांग
टैगः

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अवलोकन

रणनीति तर्क

  1. 5-दिवसीय, 10-दिवसीय, 20-दिवसीय एमए आदि की गणना करें। यदि कीमतें प्रत्येक एमए से ऊपर टूट जाती हैं, तो निर्णय लें, तो ब्रेकआउट स्कोर अंक जो एक एमए स्ट्रेंथ संकेतक में जमा होते हैं।
  3. उपयोगकर्ता चक्र मापदंडों को कॉन्फ़िगर कर सकते हैं जैसेः अल्पकालिक एमए संयोजन, दीर्घकालिक एमए अवधि, प्रवेश शर्तें आदि।

लाभ विश्लेषण

जोखिम विश्लेषण

अनुकूलन दिशाएँ

निष्कर्ष

/*backtest
start: 2023-12-19 00:00:00
end: 2024-01-18 00:00:00
period: 1h
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/
// © HeWhoMustNotBeNamed

//@version=4
strategy("MA Strength Strategy", overlay=false, initial_capital = 20000, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, commission_type = strategy.commission.percent, pyramiding = 1, commission_value = 0.01)
MAType = input(title="Moving Average Type", defval="ema", options=["ema", "sma", "hma", "rma", "vwma", "wma"])
LookbackPeriod = input(10, step=10)

IndexMAType = input(title="Moving Average Type", defval="hma", options=["ema", "sma", "hma", "rma", "vwma", "wma"])
IndexMAPeriod = input(200, step=10)

considerTrendDirection = input(true)
considerTrendDirectionForExit = input(true)
offset = input(1, step=1)
tradeDirection = input(title="Trade Direction", defval=strategy.direction.long, options=[strategy.direction.all, strategy.direction.long, strategy.direction.short])
i_startTime = input(defval = timestamp("01 Jan 2010 00:00 +0000"), title = "Start Time", type = input.time)
i_endTime = input(defval = timestamp("01 Jan 2099 00:00 +0000"), title = "End Time", type = input.time)
inDateRange = true

f_getMovingAverage(source, MAType, length)=>
    ma = sma(source, length)
    if(MAType == "ema")
        ma := ema(source,length)
    if(MAType == "hma")
        ma := hma(source,length)
    if(MAType == "rma")
        ma := rma(source,length)
    if(MAType == "vwma")
        ma := vwma(source,length)
    if(MAType == "wma")
        ma := wma(source,length)
    ma
    

f_getMaAlignment(MAType, includePartiallyAligned)=>
    ma5 = f_getMovingAverage(close,MAType,5)
    ma10 = f_getMovingAverage(close,MAType,10)
    ma20 = f_getMovingAverage(close,MAType,20)
    ma30 = f_getMovingAverage(close,MAType,30)
    ma50 = f_getMovingAverage(close,MAType,50)
    ma100 = f_getMovingAverage(close,MAType,100)
    ma200 = f_getMovingAverage(close,MAType,200)

    upwardScore = 0.0
    upwardScore := close > ma5? upwardScore+1.10:upwardScore
    upwardScore := ma5 > ma10? upwardScore+1.10:upwardScore
    upwardScore := ma10 > ma20? upwardScore+1.10:upwardScore
    upwardScore := ma20 > ma30? upwardScore+1.10:upwardScore
    upwardScore := ma30 > ma50? upwardScore+1.15:upwardScore
    upwardScore := ma50 > ma100? upwardScore+1.20:upwardScore
    upwardScore := ma100 > ma200? upwardScore+1.25:upwardScore
    
    upwards = close > ma5 and ma5 > ma10 and ma10 > ma20 and ma20 > ma30 and ma30 > ma50 and ma50 > ma100 and ma100 > ma200
    downwards = close < ma5 and ma5 < ma10 and ma10 < ma20 and ma20 < ma30 and ma30 < ma50 and ma50 < ma100 and ma100 < ma200
    trendStrength = upwards?1:downwards?-1:includePartiallyAligned ? (upwardScore > 6? 0.5: upwardScore < 2?-0.5:upwardScore>4?0.25:-0.25) : 0
    [trendStrength, upwardScore]
    
includePartiallyAligned = true
[trendStrength, upwardScore] = f_getMaAlignment(MAType, includePartiallyAligned)

upwardSum = sum(upwardScore, LookbackPeriod)

indexSma = f_getMovingAverage(upwardSum,IndexMAType,IndexMAPeriod)

plot(upwardSum, title="Moving Average Strength", color=color.green, linewidth=2, style=plot.style_linebr)
plot(indexSma, title="Strength MA", color=color.red, linewidth=1, style=plot.style_linebr)
buyCondition = crossover(upwardSum,indexSma) and (upwardSum > upwardSum[offset] or not considerTrendDirection) 
sellCondition = crossunder(upwardSum,indexSma) and (upwardSum < upwardSum[offset]  or not considerTrendDirection)

exitBuyCondition = crossunder(upwardSum,indexSma)
exitSellCondition = crossover(upwardSum,indexSma) 
strategy.risk.allow_entry_in(tradeDirection)
strategy.entry("Buy", strategy.long, when= inDateRange and buyCondition, oca_name="oca_buy")
strategy.close("Buy", when = considerTrendDirectionForExit? sellCondition : exitBuyCondition)
strategy.entry("Sell", strategy.short, when= inDateRange and sellCondition, oca_name="oca_sell")
strategy.close( "Sell", when = considerTrendDirectionForExit? buyCondition : exitSellCondition)
अधिक

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