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Strategy vault / Momentum

Moving Average Candle Regression Strategy

This strategy combines various technical indicators and strategies, mainly for determining index entry and exit points. The key logic is: 1. Compute moving average candles including open, close, high and low 2…

Author
ChaoZhang
Complexity
Intermediate · 158 lines
Parameters
13
Backtest bar
15m · intraday
Tested on
BTC/USDT · futures

Strategy Logic

This strategy combines various technical indicators and strategies, mainly for determining index entry and exit points.

The key logic is:

  1. Compute moving average candles including open, close, high and low

  2. Calculate momentum of MA candles and momentum linear regression

  3. Calculate linear regression of MA candles itself

  4. Use SuperTrend to determine overall direction

  5. When momentum regression turns from negative to positive, or strongly positive, it signals entry

  6. When momentum turns from positive to negative, or weakens, it signals exit

The strategy synthesizes various indicators to assess short- and long-term market moves and rhythm for determining index trade timing.

Advantages

  • MA candles reflect medium- to long-term trends

  • Regression analysis identifies trend changes

  • SuperTrend assists overall direction

  • Multiple indicators improve accuracy

Risks

  • Complex parameter optimization

  • Difficult to balance multiple indicators

  • Infrequent signals mean lower trade frequency

Summary

This strategy aims to uncover market timing signals by analyzing short- and long-term patterns. But parameter tuning and model optimization needs improvement.

Parameters

NameDefaultWhat it controls
v_input_10Moving Average Type (MA Candles): hma | sma | ema | rma | vwma | wma
v_input_260Length (MA Candles)
v_input_30Moving Average Type (Momentum): ema | sma | hma | rma | vwma | wma
v_input_420MA Length (Momentum)
v_input_540Look Back Period Percentile High/Low
v_input_60.85Highest Percentile - 0.90=90%, 0.95=95%, 0.99=99%
v_input_71.01Lowest Percentile - 1.10=90%, 1.05=95%, 1.01=99%
v_input_83Bollinger Band Standard Devaition Up
v_input_9trueaggressiveLong
v_input_10truelongTrades
v_input_11falseuseVixFix
v_input_12timestamp(01 Jan 2010 00:00 +0000)Start Time
v_input_13timestamp(01 Jan 2099 00:00 +0000)End Time

Source Pine Script

/*backtest
start: 2023-09-06 00:00:00
end: 2023-09-13 00:00:00
period: 15m
basePeriod: 5m
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("MACandles-LinearRegression-Strategy", shorttitle="MALinReg - Strategy",
                     overlay=false, initial_capital = 100000, 
                     default_qty_type = strategy.percent_of_equity, default_qty_value = 100, commission_type = strategy.commission.percent, pyramiding = 1, 
                     commission_value = 0.01)
resolution = ""
MAType = input(title="Moving Average Type (MA Candles)", defval="hma", options=["ema", "sma", "hma", "rma", "vwma", "wma"])
LoopbackBars = input(60, title="Length (MA Candles)", step=10)

MMAType = input(title="Moving Average Type (Momentum)", defval="ema", options=["ema", "sma", "hma", "rma", "vwma", "wma"])
MLength = input(20, title="MA Length (Momentum)", step=10)

lb = input(40  , title="Look Back Period Percentile High/Low", step=10, minval=10, maxval=100)
ph = input(.85, title="Highest Percentile - 0.90=90%, 0.95=95%, 0.99=99%")
pl = input(1.01, title="Lowest Percentile - 1.10=90%, 1.05=95%, 1.01=99%")
mult = input(3.0    , minval=1, maxval=5, title="Bollinger Band Standard Devaition Up")

aggressiveLong = input(true)
longTrades = input(true)
useVixFix = input(false)
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_getMACandles(resolution, MAType, LoopbackBars)=>
    oOpen = f_getMovingAverage(open, MAType, LoopbackBars)
    oClose = f_getMovingAverage(close, MAType, LoopbackBars)
    oHigh = f_getMovingAverage(high, MAType, LoopbackBars)
    oLow = f_getMovingAverage(low, MAType, LoopbackBars)
    [oOpen, oClose, oHigh, oLow]

f_getVixFixLinReg(oClose, oLow, MLength)=>
    wvf = ((highest(oClose, MLength)-oLow)/(highest(oClose, MLength)))*100
    
    sDev = mult * stdev(wvf, MLength)
    midLine = sma(wvf, MLength)
    lowerBand = midLine - sDev
    upperBand = midLine + sDev
    
    rangeHigh = (highest(wvf, lb)) * ph
    rangeLow = (lowest(wvf, lb)) * pl
    
    
    col = wvf >= upperBand or wvf >= rangeHigh ? color.lime : color.gray
    
    val = linreg(wvf, MLength, 0)
    absVal = abs(val)
    linRegColor = val>val[1]? (val > 0 ? color.green : color.orange): (val > 0 ? color.lime : color.red)
    
    vixFixState = (col == color.lime) ? 1: 0
    vixFixState := strategy.position_size == 0? max(vixFixState, nz(vixFixState[1],0)) : vixFixState
    [val, absVal, wvf, col, linRegColor, vixFixState]
    
f_getMACandlesLinReg(oClose, MMAType, MLength, mult, lb, ph, pl)=>
    ma = f_getMovingAverage(oClose, MMAType, MLength)
    
    maDiff = oClose  -  ma
    val = linreg(maDiff, MLength,0)
    absVal = abs(val)
    linRegColor = iff( val > 0,
                 iff( val > nz(val[1]), color.green, color.lime),
                 iff( val < nz(val[1]), color.red, color.orange))
    
    
    sDev = mult * stdev(maDiff, MLength)
    midLine = sma(maDiff, MLength)
    lowerBand = midLine - sDev
    upperBand = midLine + sDev
    
    rangeHigh = (highest(maDiff, lb)) * ph
    rangeLow = (lowest(maDiff, lb)) * pl
    
    col = maDiff >= upperBand or maDiff >= rangeHigh ? color.lime : maDiff <= lowerBand or maDiff <= rangeLow ? color.orange : color.silver
    absMaDiff = abs(maDiff)
    [val, absVal, maDiff, absMaDiff, col, linRegColor]

f_getSupertrend(resolution, oOpen, oClose, oHigh, oLow, AtrMAType, AtrLength, AtrMult, wicks)=>
    truerange = max(oHigh, oClose[1]) - min(oLow, oClose[1])
    
    averagetruerange = f_getMovingAverage(truerange, AtrMAType, AtrLength)
    atr = averagetruerange * AtrMult

    longWicks = wicks
    shortWicks = wicks
    longStop = oClose - atr
    longStopPrev = nz(longStop[1], longStop)
    longStop := (longWicks ? oLow[1] : oClose[1]) > longStopPrev ? max(longStop, longStopPrev) : longStop
    
    shortStop = oClose + atr
    shortStopPrev = nz(shortStop[1], shortStop)
    shortStop := (shortWicks ? oHigh[1] : oClose[1]) < shortStopPrev ? min(shortStop, shortStopPrev) : shortStop
    
    dir = 1
    dir := nz(dir[1], dir)
    dir := dir == -1 and (longWicks ? oHigh : oClose) > shortStopPrev ? 1 : dir == 1 and (shortWicks[1]? oLow : oClose) < longStopPrev ? -1 : dir
    
    [dir, longStop, shortStop]

f_getMACandlesAndSupertrend(MAType, LoopbackBars, AtrMult, wicks)=>
    oOpen = f_getMovingAverage(open, MAType, LoopbackBars)
    oClose = f_getMovingAverage(close, MAType, LoopbackBars)
    oHigh = f_getMovingAverage(high, MAType, LoopbackBars)
    oLow = f_getMovingAverage(low, MAType, LoopbackBars)
    [dir, longStop, shortStop] = f_getSupertrend(resolution, oOpen, oClose, oHigh, oLow, MAType, LoopbackBars, AtrMult, wicks)
    dir

[oOpen, oClose, oHigh, oLow] = f_getMACandles(resolution, MAType, LoopbackBars)
dir = f_getMACandlesAndSupertrend("sma", 200, 1, false)
colorByPreviousClose = false
candleColor = colorByPreviousClose ?
                 (oClose[1] < oClose ? color.green : oClose[1] > oClose ? color.red : color.silver) : 
                 (oOpen < oClose ? color.green : oOpen > oClose ? color.red : color.silver)


[vval, vabsVal, wvf, vcol, vlinRegColor, vixFixState] = f_getVixFixLinReg(oClose, oLow, MLength)
[val, absVal, maDiff, absMaDiff, col, linRegColor] = f_getMACandlesLinReg(oClose, MMAType, MLength, mult, lb, ph, pl)


plot(useVixFix?na:absMaDiff, title="Momentum", style=plot.style_histogram, linewidth = 4, color=col)
plot(useVixFix?wvf:na, title="VIX Fix", style=plot.style_histogram, linewidth = 4, color=vcol)
plot(useVixFix?na:-absVal, title="Linear Regression (Momentum)", style=plot.style_histogram, linewidth=4, color=linRegColor)
plot(useVixFix?-vabsVal:na, title="Linear Regression (VIX Fix)", style=plot.style_histogram, linewidth=4, color=vlinRegColor)

exitColor = longTrades? color.orange : color.silver
exitPreviousColor = longTrades? color.silver : color.lime
longCondition = (useVixFix? (vixFixState == 1 and vlinRegColor == color.lime) :
                     ((linRegColor == color.orange and linRegColor[1] == color.red) or (linRegColor == color.green and linRegColor[1] != color.green and aggressiveLong)))  and inDateRange and dir>0
exitLongCondition = (col == exitColor and col[1] == exitColor and col[2] == exitPreviousColor and (linRegColor != color.green or not aggressiveLong))

strategy.entry("Long", strategy.long, when=longCondition, oca_name="oca_buy")
strategy.close("Long", when=exitLongCondition)

Published by ChaoZhang on the FMZ strategy square · last modified 2023-09-14. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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