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Market Cypher Wave B Automated Trading Strategy

Author: ChaoZhang, Date: 2024-01-26 16:16:44
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Overview

This strategy utilizes the wave theory from Market Cypher indicator and combines multiple technical indicators to implement automated trading. It can identify opportunities when trend starts and track the trend.

Strategy Principles

The strategy is mainly based on Market Cypher Wave B indicator. The indicator divides price action into two layers, Wave 1 and Wave 2. Wave 1 is more sensitive while Wave 2 is more smooth. Their crossover works as trading signals. When Wave 1 crosses above Wave 2, it’s buying opportunity. When crosses below, it’s selling opportunity.

The code calculates Wave 1 and Wave 2 using the Wavetrend function. Then it determines wave direction together with overbought/oversold area. For example, when Wave 1 crosses below Wave 2 while Wave 2 is in overbought area, it triggers a sell signal.

In addition, the code also incorporates multiple auxiliary indicators to improve decision accuracy, including:

  • Extreme area: Identify price fluctuation levels combining RSI and Money Flow Index

  • KD: Judge bullish/bearish momentum

  • Divergence: Locate buying/selling turning points

  • Flags: Judge trend persistency

Finally, it makes trading decisions based on Waves and auxiliary indicators.

Strategy Advantages

The biggest strength of this strategy is the ability to adapt to different market environments. Specifically:

  1. Multiple indicators combined improve decision accuracy

    The strategy uses not only Wave crossover itself, but also RSI, KD, divergence etc. By combining signals, it improves accuracy.

  2. Flags catch trends

    With flags, the strategy can effectively determine trend persistency and avoid false signals. This allows it to identify trend opportunities early on and excell at trend following.

  3. Highly customizable

    The strategy has many adjustable parameters. Users can optimize based on their own market views and adapt to more complex environments. This makes the strategy widely applicable.

Risks

There are also some potential risks:

  1. Conflicting signals between indicators

    With many indicators, there could be conflicting signals in extreme market conditions. This introduces uncertainty in final decisions.

  2. Difficult to optimize parameters

    Too many parameters makes optimization challenging. It requires lots of backtesting to find optimal parameter sets and risks overfitting.

  3. Potentially too frequent trading

    In ranging markets, Wave crossover may happen frequently and incur excessive trading costs.

Corresponding improvements include:

  1. Introduce more filters to ensure decision robustness

  2. Prioritize parameters with higher strategy impact

  3. Expand stop loss to lower trading frequency

Summary

In summary, this strategy combines Market Cypher wave theory and various indicators to achieve automated identification of trading signals and trend tracking. With high customizability, it adapts well and excels at catching trends. Meanwhile, potential risks call for continuous improvements like more robust rules and better parameter tuning to make the strategy more robust.


/*backtest
start: 2023-12-01 00:00:00
end: 2023-12-31 23:59:59
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/
// © vumanchu

//@version=5


//  Thanks to dynausmaux for the code
//  Thanks to falconCoin for https://www.tradingview.com/script/KVfgBvDd-Market-Cipher-B-Free-version-with-Buy-and-sell/ inspired me to start this.
//  Thanks to LazyBear for WaveTrend Oscillator https://www.tradingview.com/script/2KE8wTuF-Indicator-WaveTrend-Oscillator-WT/
//  Thanks to RicardoSantos for https://www.tradingview.com/script/3oeDh0Yq-RS-Price-Divergence-Detector-V2/
//  Thanks to LucemAnb for Plain Stochastic Divergence https://www.tradingview.com/script/FCUgF8ag-Plain-Stochastic-Divergence/
//  Thanks to andreholanda73 for MFI+RSI Area https://www.tradingview.com/script/UlGZzUAr/
//  I especially want to thank TradingView for its platform that facilitates development and learning.

//
//  CIRCLES & TRIANGLES:
//    - LITTLE CIRCLE: They appear at all WaveTrend wave crossings.
//    - GREEN CIRCLE: The wavetrend waves are at the oversold level and have crossed up (bullish).
//    - RED CIRCLE: The wavetrend waves are at the overbought level and have crossed down (bearish).
//    - GOLD/ORANGE CIRCLE: When RSI is below 20, WaveTrend waves are below or equal to -80 and have crossed up after good bullish divergence (DONT BUY WHEN GOLD CIRCLE APPEAR).
//    - None of these circles are certain signs to trade. It is only information that can help you. 
//    - PURPLE TRIANGLE: Appear when a bullish or bearish divergence is formed and WaveTrend waves crosses at overbought and oversold points.
//
//  NOTES:
//    - I am not an expert trader or know how to program pine script as such, in fact it is my first indicator only to study and all the code is copied and modified from other codes that are published in TradingView.
//    - I am very grateful to the entire TV community that publishes codes so that other newbies like me can learn and present their results. This is an attempt to imitate Market Cipher B. 
//    - Settings by default are for 4h timeframe, divergences are more stronger and accurate. Haven't tested in all timeframes, only 2h and 4h.
//    - If you get an interesting result in other timeframes I would be very grateful if you would comment your configuration to implement it or at least check it.
//
//  CONTRIBUTIONS:
//    - Tip/Idea: Add higher timeframe analysis for bearish/bullish patterns at the current timeframe.
//    + Bearish/Bullish FLAG:
//      - MFI+RSI Area are RED (Below 0).
//      - Wavetrend waves are above 0 and crosses down.
//      - VWAP Area are below 0 on higher timeframe.
//      - This pattern reversed becomes bullish.
//    - Tip/Idea: Check the last heikinashi candle from 2 higher timeframe
//    + Bearish/Bullish DIAMOND:
//      - HT Candle is red
//      - WT > 0 and crossed down

strategy(title='MCB CIRCLE ONLY PGB STRAT BUN TP SL TEST', shorttitle='MCB CIRCLE ONLY PGB STRAT BUN TP SL TEST', overlay=true )
    // strategy.cash  
    //max_bars_back = 200)

// PARAMETERS {

// WaveTrend
wtShow = input(true, title='Show WaveTrend')
wtBuyShow = input(true, title='Show Buy dots')
wtGoldShow = input(true, title='Show Gold dots')
wtSellShow = input(true, title='Show Sell dots')
wtDivShow = input(true, title='Show Div. dots')
vwapShow = input(true, title='Show Fast WT')
wtChannelLen = input(9, title='WT Channel Length')
wtAverageLen = input(12, title='WT Average Length')
wtMASource = input(hlc3, title='WT MA Source')
wtMALen = input(3, title='WT MA Length')

// WaveTrend Overbought & Oversold lines
obLevel = input(70, title='WT Overbought Level 1')
obLevel2 = input(99, title='WT Overbought Level 2')
obLevel3 = input(99, title='WT Overbought Level 3')
osLevel = -obLevel
osLevel2 = input(-99, title='WT Oversold Level 2')
osLevel3 = input(-99, title='WT Oversold Level 3')

// Divergence WT
wtShowDiv = input(true, title='Show WT Regular Divergences')
wtShowHiddenDiv = input(false, title='Show WT Hidden Divergences')
showHiddenDiv_nl = input(true, title='Not apply OB/OS Limits on Hidden Divergences')
wtDivOBLevel = input(81, title='WT Bearish Divergence min')
// wtDivOSLevel = input(-91, title='WT Bullish Divergence min')
wtDivOSLevel = -wtDivOBLevel

// Divergence extra range
wtDivOBLevel_addshow = input(true, title='Show 2nd WT Regular Divergences')
wtDivOBLevel_add = input(63, title='WT 2nd Bearish Divergence')
// wtDivOSLevel_add = input(-40, title='WT 2nd Bullish Divergence 15 min')
wtDivOSLevel_add = -wtDivOBLevel_add

// RSI+MFI
rsiMFIShow = input(true, title='Show MFI')
rsiMFIperiod = input(60, title='MFI Period')
rsiMFIMultiplier = input.float(150, title='MFI Area multiplier')
rsiMFIPosY = input(2.5, title='MFI Area Y Pos')

// RSI
rsiShow = input(false, title='Show RSI')
rsiSRC = input(close, title='RSI Source')
rsiLen = input(14, title='RSI Length')
rsiOversold = input.int(30, title='RSI Oversold', minval=30, maxval=100)
rsiOverbought = input.int(60, title='RSI Overbought', minval=0, maxval=60)

// Divergence RSI
rsiShowDiv = input(false, title='Show RSI Regular Divergences')
rsiShowHiddenDiv = input(false, title='Show RSI Hidden Divergences')
rsiDivOBLevel = input(60, title='RSI Bearish Divergence min')
rsiDivOSLevel = input(30, title='RSI Bullish Divergence min')

// RSI Stochastic
stochShow = input(true, title='Show Stochastic RSI')
stochUseLog = input(true, title=' Use Log?')
stochAvg = input(false, title='Use Average of both K & D')
stochSRC = input(close, title='Stochastic RSI Source')
stochLen = input(14, title='Stochastic RSI Length')
stochRsiLen = input(14, title='RSI Length ')
stochKSmooth = input(3, title='Stochastic RSI K Smooth')
stochDSmooth = input(3, title='Stochastic RSI D Smooth')

// Divergence stoch
stochShowDiv = input(false, title='Show Stoch Regular Divergences')
stochShowHiddenDiv = input(false, title='Show Stoch Hidden Divergences')

// Schaff Trend Cycle
tcLine = input(false, title='Show Schaff TC line')
tcSRC = input(close, title='Schaff TC Source')
tclength = input(10, title='Schaff TC')
tcfastLength = input(23, title='Schaff TC Fast Lenght')
tcslowLength = input(50, title='Schaff TC Slow Length')
tcfactor = input(0.5, title='Schaff TC Factor')

// Sommi Flag
sommiFlagShow = input(false, title='Show Sommi flag')
sommiShowVwap = input(false, title='Show Sommi F. Wave')
sommiVwapTF = input('720', title='Sommi F. Wave timeframe')
sommiVwapBearLevel = input(0, title='F. Wave Bear Level (less than)')
sommiVwapBullLevel = input(0, title='F. Wave Bull Level (more than)')
soomiFlagWTBearLevel = input(0, title='WT Bear Level (more than)')
soomiFlagWTBullLevel = input(0, title='WT Bull Level (less than)')
soomiRSIMFIBearLevel = input(0, title='Money flow Bear Level (less than)')
soomiRSIMFIBullLevel = input(0, title='Money flow Bull Level (more than)')

// Sommi Diamond
sommiDiamondShow = input(false, title='Show Sommi diamond')
sommiHTCRes = input('60', title='HTF Candle Res. 1')
sommiHTCRes2 = input('240', title='HTF Candle Res. 2')
soomiDiamondWTBearLevel = input(0, title='WT Bear Level (More than)')
soomiDiamondWTBullLevel = input(0, title='WT Bull Level (Less than)')

// macd Colors
macdWTColorsShow = input(false, title='Show MACD Colors')
macdWTColorsTF = input('240', title='MACD Colors MACD TF')

darkMode = input(false, title='Dark mode')


// Colors
colorRed = #ff0000
colorPurple = #e600e6
colorGreen = #3fff00
colorOrange = #e2a400
colorYellow = #ffe500
colorWhite = #ffffff
colorPink = #ff00f0
colorBluelight = #31c0ff

colorWT1 = #90caf9
colorWT2 = #0d47a1

colorWT2_ = #131722

colormacdWT1a = #4caf58
colormacdWT1b = #af4c4c
colormacdWT1c = #7ee57e
colormacdWT1d = #ff3535

colormacdWT2a = #305630
colormacdWT2b = #310101
colormacdWT2c = #132213
colormacdWT2d = #770000

// } PARAMETERS


// FUNCTIONS {

// Divergences 
f_top_fractal(src) =>
    src[4] < src[2] and src[3] < src[2] and src[2] > src[1] and src[2] > src[0]
f_bot_fractal(src) =>
    src[4] > src[2] and src[3] > src[2] and src[2] < src[1] and src[2] < src[0]
f_fractalize(src) =>
    f_top_fractal(src) ? 1 : f_bot_fractal(src) ? -1 : 0

f_findDivs(src, topLimit, botLimit, useLimits) =>
    fractalTop = f_fractalize(src) > 0 and (useLimits ? src[2] >= topLimit : true) ? src[2] : na
    fractalBot = f_fractalize(src) < 0 and (useLimits ? src[2] <= botLimit : true) ? src[2] : na
    highPrev = ta.valuewhen(fractalTop, src[2], 0)[2]
    highPrice = ta.valuewhen(fractalTop, high[2], 0)[2]
    lowPrev = ta.valuewhen(fractalBot, src[2], 0)[2]
    lowPrice = ta.valuewhen(fractalBot, low[2], 0)[2]
    bearSignal = fractalTop and high[2] > highPrice and src[2] < highPrev
    bullSignal = fractalBot and low[2] < lowPrice and src[2] > lowPrev
    bearDivHidden = fractalTop and high[2] < highPrice and src[2] > highPrev
    bullDivHidden = fractalBot and low[2] > lowPrice and src[2] < lowPrev
    [fractalTop, fractalBot, lowPrev, bearSignal, bullSignal, bearDivHidden, bullDivHidden]

// RSI+MFI
f_rsimfi(_period, _multiplier, _tf) =>
    request.security(syminfo.tickerid, _tf, ta.sma((close - open) / (high - low) * _multiplier, _period) - rsiMFIPosY)

// WaveTrend
f_wavetrend(src, chlen, avg, malen, tf) =>
    tfsrc = request.security(syminfo.tickerid, tf, src)
    esa = ta.ema(tfsrc, chlen)
    de = ta.ema(math.abs(tfsrc - esa), chlen)
    ci = (tfsrc - esa) / (0.015 * de)
    wt1 = request.security(syminfo.tickerid, tf, ta.ema(ci, avg))
    wt2 = request.security(syminfo.tickerid, tf, ta.sma(wt1, malen))
    wtVwap = wt1 - wt2
    wtOversold = wt2 <= osLevel
    wtOverbought = wt2 >= obLevel
    wtCross = ta.cross(wt1, wt2)
    wtCrossUp = wt2 - wt1 <= 0
    wtCrossDown = wt2 - wt1 >= 0
    wtCrosslast = ta.cross(wt1[2], wt2[2])
    wtCrossUplast = wt2[2] - wt1[2] <= 0
    wtCrossDownlast = wt2[2] - wt1[2] >= 0
    [wt1, wt2, wtOversold, wtOverbought, wtCross, wtCrossUp, wtCrossDown, wtCrosslast, wtCrossUplast, wtCrossDownlast, wtVwap]

// Schaff Trend Cycle
f_tc(src, length, fastLength, slowLength) =>
    ema1 = ta.ema(src, fastLength)
    ema2 = ta.ema(src, slowLength)
    macdVal = ema1 - ema2
    alpha = ta.lowest(macdVal, length)
    beta = ta.highest(macdVal, length) - alpha
    gamma = (macdVal - alpha) / beta * 100
    gamma := beta > 0 ? gamma : nz(gamma[1])
    delta = gamma
    delta := na(delta[1]) ? delta : delta[1] + tcfactor * (gamma - delta[1])
    epsilon = ta.lowest(delta, length)
    zeta = ta.highest(delta, length) - epsilon
    eta = (delta - epsilon) / zeta * 100
    eta := zeta > 0 ? eta : nz(eta[1])
    stcReturn = eta
    stcReturn := na(stcReturn[1]) ? stcReturn : stcReturn[1] + tcfactor * (eta - stcReturn[1])
    stcReturn

// Stochastic RSI
f_stochrsi(_src, _stochlen, _rsilen, _smoothk, _smoothd, _log, _avg) =>
    src = _log ? math.log(_src) : _src
    rsi = ta.rsi(src, _rsilen)
    kk = ta.sma(ta.stoch(rsi, rsi, rsi, _stochlen), _smoothk)
    d1 = ta.sma(kk, _smoothd)
    avg_1 = math.avg(kk, d1)
    k = _avg ? avg_1 : kk
    [k, d1]

// MACD
f_macd(src, fastlen, slowlen, sigsmooth, tf) =>
    fast_ma = request.security(syminfo.tickerid, tf, ta.ema(src, fastlen))
    slow_ma = request.security(syminfo.tickerid, tf, ta.ema(src, slowlen))
    macd = fast_ma - slow_ma
    signal = request.security(syminfo.tickerid, tf, ta.sma(macd, sigsmooth))
    hist = macd - signal
    [macd, signal, hist]

// MACD Colors on WT    
f_macdWTColors(tf) =>
    hrsimfi = f_rsimfi(rsiMFIperiod, rsiMFIMultiplier, tf)
    [macd, signal, hist] = f_macd(close, 28, 42, 9, macdWTColorsTF)
    macdup = macd >= signal
    macddown = macd <= signal
    macdWT1Color = macdup ? hrsimfi > 0 ? colormacdWT1c : colormacdWT1a : macddown ? hrsimfi < 0 ? colormacdWT1d : colormacdWT1b : na
    macdWT2Color = macdup ? hrsimfi < 0 ? colormacdWT2c : colormacdWT2a : macddown ? hrsimfi < 0 ? colormacdWT2d : colormacdWT2b : na
    [macdWT1Color, macdWT2Color]

// Get higher timeframe candle
f_getTFCandle(_tf) =>
    _open = request.security(ticker.heikinashi(syminfo.tickerid), _tf, open, barmerge.gaps_off, barmerge.lookahead_on)
    _close = request.security(ticker.heikinashi(syminfo.tickerid), _tf, close, barmerge.gaps_off, barmerge.lookahead_on)
    _high = request.security(ticker.heikinashi(syminfo.tickerid), _tf, high, barmerge.gaps_off, barmerge.lookahead_on)
    _low = request.security(ticker.heikinashi(syminfo.tickerid), _tf, low, barmerge.gaps_off, barmerge.lookahead_on)
    hl2 = (_high + _low) / 2.0
    newBar = ta.change(_open)
    candleBodyDir = _close > _open
    [candleBodyDir, newBar]

// Sommi flag
f_findSommiFlag(tf, wt1, wt2, rsimfi, wtCross, wtCrossUp, wtCrossDown) =>
    [hwt1, hwt2, hwtOversold, hwtOverbought, hwtCross, hwtCrossUp, hwtCrossDown, hwtCrosslast, hwtCrossUplast, hwtCrossDownlast, hwtVwap] = f_wavetrend(wtMASource, wtChannelLen, wtAverageLen, wtMALen, tf)

    bearPattern = rsimfi < soomiRSIMFIBearLevel and wt2 > soomiFlagWTBearLevel and wtCross and wtCrossDown and hwtVwap < sommiVwapBearLevel

    bullPattern = rsimfi > soomiRSIMFIBullLevel and wt2 < soomiFlagWTBullLevel and wtCross and wtCrossUp and hwtVwap > sommiVwapBullLevel

    [bearPattern, bullPattern, hwtVwap]

f_findSommiDiamond(tf, tf2, wt1, wt2, wtCross, wtCrossUp, wtCrossDown) =>
    [candleBodyDir, newBar] = f_getTFCandle(tf)
    [candleBodyDir2, newBar2] = f_getTFCandle(tf2)
    bearPattern = wt2 >= soomiDiamondWTBearLevel and wtCross and wtCrossDown and not candleBodyDir and not candleBodyDir2
    bullPattern = wt2 <= soomiDiamondWTBullLevel and wtCross and wtCrossUp and candleBodyDir and candleBodyDir2
    [bearPattern, bullPattern]

// } FUNCTIONS  

// CALCULATE INDICATORS {

// RSI
rsi = ta.rsi(rsiSRC, rsiLen)
rsiColor = rsi <= rsiOversold ? colorGreen : rsi >= rsiOverbought ? colorRed : colorPurple

// RSI + MFI Area
rsiMFI = f_rsimfi(rsiMFIperiod, rsiMFIMultiplier, timeframe.period)
rsiMFIColor = rsiMFI > 0 ? #3ee145 : #ff3d2e

// Calculates WaveTrend
[wt1, wt2, wtOversold, wtOverbought, wtCross, wtCrossUp, wtCrossDown, wtCross_last, wtCrossUp_last, wtCrossDown_last, wtVwap] = f_wavetrend(wtMASource, wtChannelLen, wtAverageLen, wtMALen, timeframe.period)

// Stochastic RSI
[stochK, stochD] = f_stochrsi(stochSRC, stochLen, stochRsiLen, stochKSmooth, stochDSmooth, stochUseLog, stochAvg)

// Schaff Trend Cycle
tcVal = f_tc(tcSRC, tclength, tcfastLength, tcslowLength)

// Sommi flag
[sommiBearish, sommiBullish, hvwap] = f_findSommiFlag(sommiVwapTF, wt1, wt2, rsiMFI, wtCross, wtCrossUp, wtCrossDown)

//Sommi diamond
[sommiBearishDiamond, sommiBullishDiamond] = f_findSommiDiamond(sommiHTCRes, sommiHTCRes2, wt1, wt2, wtCross, wtCrossUp, wtCrossDown)

// macd colors
[macdWT1Color, macdWT2Color] = f_macdWTColors(macdWTColorsTF)

// WT Divergences
[wtFractalTop, wtFractalBot, wtLow_prev, wtBearDiv, wtBullDiv, wtBearDivHidden, wtBullDivHidden] = f_findDivs(wt2, wtDivOBLevel, wtDivOSLevel, true)

[wtFractalTop_add, wtFractalBot_add, wtLow_prev_add, wtBearDiv_add, wtBullDiv_add, wtBearDivHidden_add, wtBullDivHidden_add] = f_findDivs(wt2, wtDivOBLevel_add, wtDivOSLevel_add, true)
[wtFractalTop_nl, wtFractalBot_nl, wtLow_prev_nl, wtBearDiv_nl, wtBullDiv_nl, wtBearDivHidden_nl, wtBullDivHidden_nl] = f_findDivs(wt2, 0, 0, false)

wtBearDivHidden_ = showHiddenDiv_nl ? wtBearDivHidden_nl : wtBearDivHidden
wtBullDivHidden_ = showHiddenDiv_nl ? wtBullDivHidden_nl : wtBullDivHidden

wtBearDivColor = wtShowDiv and wtBearDiv or wtShowHiddenDiv and wtBearDivHidden_ ? colorRed : na
wtBullDivColor = wtShowDiv and wtBullDiv or wtShowHiddenDiv and wtBullDivHidden_ ? colorGreen : na

wtBearDivColor_add = wtShowDiv and wtDivOBLevel_addshow and wtBearDiv_add or wtShowHiddenDiv and wtDivOBLevel_addshow and wtBearDivHidden_add ? #9a0202 : na
wtBullDivColor_add = wtShowDiv and wtDivOBLevel_addshow and wtBullDiv_add or wtShowHiddenDiv and wtDivOBLevel_addshow and wtBullDivHidden_add ? #1b5e20 : na

// RSI Divergences
[rsiFractalTop, rsiFractalBot, rsiLow_prev, rsiBearDiv, rsiBullDiv, rsiBearDivHidden, rsiBullDivHidden] = f_findDivs(rsi, rsiDivOBLevel, rsiDivOSLevel, true)
[rsiFractalTop_nl, rsiFractalBot_nl, rsiLow_prev_nl, rsiBearDiv_nl, rsiBullDiv_nl, rsiBearDivHidden_nl, rsiBullDivHidden_nl] = f_findDivs(rsi, 0, 0, false)

rsiBearDivHidden_ = showHiddenDiv_nl ? rsiBearDivHidden_nl : rsiBearDivHidden
rsiBullDivHidden_ = showHiddenDiv_nl ? rsiBullDivHidden_nl : rsiBullDivHidden

rsiBearDivColor = rsiShowDiv and rsiBearDiv or rsiShowHiddenDiv and rsiBearDivHidden_ ? colorRed : na
rsiBullDivColor = rsiShowDiv and rsiBullDiv or rsiShowHiddenDiv and rsiBullDivHidden_ ? colorGreen : na

// Stoch Divergences
[stochFractalTop, stochFractalBot, stochLow_prev, stochBearDiv, stochBullDiv, stochBearDivHidden, stochBullDivHidden] = f_findDivs(stochK, 0, 0, false)

stochBearDivColor = stochShowDiv and stochBearDiv or stochShowHiddenDiv and stochBearDivHidden ? colorRed : na
stochBullDivColor = stochShowDiv and stochBullDiv or stochShowHiddenDiv and stochBullDivHidden ? colorGreen : na


// Small Circles WT Cross
signalColor = wt2 - wt1 > 0 ? color.red : color.lime

// Buy signal.
buySignal = wtCross and wtCrossUp and wtOversold

buySignalDiv = wtShowDiv and wtBullDiv or wtShowDiv and wtBullDiv_add or stochShowDiv and stochBullDiv or rsiShowDiv and rsiBullDiv

buySignalDiv_color = wtBullDiv ? colorGreen : wtBullDiv_add ? color.new(colorGreen, 100) : rsiShowDiv ? colorGreen : na

// Sell signal
sellSignal = wtCross and wtCrossDown and wtOverbought

sellSignalDiv = wtShowDiv and wtBearDiv or wtShowDiv and wtBearDiv_add or stochShowDiv and stochBearDiv or rsiShowDiv and rsiBearDiv

sellSignalDiv_color = wtBearDiv ? colorRed : wtBearDiv_add ? color.new(colorRed, 60) : rsiBearDiv ? colorRed : na

// Gold Buy 
lastRsi = ta.valuewhen(wtFractalBot, rsi[2], 0)[2]
wtGoldBuy = (wtShowDiv and wtBullDiv or rsiShowDiv and rsiBullDiv) and wtLow_prev <= osLevel3 and wt2 > osLevel3 and wtLow_prev - wt2 <= -5 and lastRsi < 30

// } CALCULATE INDICATORS


// DRAW {
bgcolor(darkMode ? color.new(#000000, 80) : na, transp=90)
zLine = plot(0, color=color.new(colorWhite, 50))

//  MFI BAR
rsiMfiBarTopLine = plot(rsiMFIShow ? -95 : na, title='MFI Bar TOP Line', transp=100)
rsiMfiBarBottomLine = plot(rsiMFIShow ? -99 : na, title='MFI Bar BOTTOM Line', transp=50)
fill(rsiMfiBarTopLine, rsiMfiBarBottomLine, title='MFI Bar Colors', color=rsiMFIColor, transp=75)

// WT Areas
plot(wtShow ? wt1 : na, style=plot.style_area, title='WT Wave 1', color=macdWTColorsShow ? macdWT1Color : colorWT1, transp=0)
plot(wtShow ? wt2 : na, style=plot.style_area, title='WT Wave 2', color=macdWTColorsShow ? macdWT2Color : darkMode ? colorWT2_ : colorWT2, transp=20)

// VWAP
plot(vwapShow ? wtVwap : na, title='VWAP', color=color.new(colorYellow, 45), style=plot.style_area, linewidth=2)

// MFI AREA
rsiMFIplot = plot(rsiMFIShow ? rsiMFI : na, title='RSI+MFI Area', color=rsiMFIColor, transp=20)
fill(rsiMFIplot, zLine, rsiMFIColor, transp=40)

// WT Div

plot(series=wtFractalTop ? wt2[2] : na, title='WT Bearish Divergence', color=wtBearDivColor, linewidth=2, offset=-2)
plot(series=wtFractalBot ? wt2[2] : na, title='WT Bullish Divergence', color=wtBullDivColor, linewidth=2, offset=-2)

// WT 2nd Div
plot(series=wtFractalTop_add ? wt2[2] : na, title='WT 2nd Bearish Divergence', color=wtBearDivColor_add, linewidth=2, offset=-2)
plot(series=wtFractalBot_add ? wt2[2] : na, title='WT 2nd Bullish Divergence', color=wtBullDivColor_add, linewidth=2, offset=-2)

// RSI
plot(rsiShow ? rsi : na, title='RSI', color=rsiColor, linewidth=2, transp=25)

// RSI Div
plot(series=rsiFractalTop ? rsi[2] : na, title='RSI Bearish Divergence', color=rsiBearDivColor, linewidth=1, offset=-2)
plot(series=rsiFractalBot ? rsi[2] : na, title='RSI Bullish Divergence', color=rsiBullDivColor, linewidth=1, offset=-2)

// Stochastic RSI
stochKplot = plot(stochShow ? stochK : na, title='Stoch K', color=color.new(#21baf3, 0), linewidth=2)
stochDplot = plot(stochShow ? stochD : na, title='Stoch D', color=color.new(#673ab7, 60), linewidth=1)
stochFillColor = stochK >= stochD ? color.new(#21baf3, 75) : color.new(#673ab7, 60)
fill(stochKplot, stochDplot, title='KD Fill', color=stochFillColor, transp=90)

// Stoch Div
plot(series=stochFractalTop ? stochK[2] : na, title='Stoch Bearish Divergence', color=stochBearDivColor, linewidth=1, offset=-2)
plot(series=stochFractalBot ? stochK[2] : na, title='Stoch Bullish Divergence', color=stochBullDivColor, linewidth=1, offset=-2)

// Schaff Trend Cycle
plot(tcLine ? tcVal : na, color=color.new(#673ab7, 25), linewidth=2, title='Schaff Trend Cycle 1')
plot(tcLine ? tcVal : na, color=color.new(colorWhite, 50), linewidth=1, title='Schaff Trend Cycle 2')


// Draw Overbought & Oversold lines
plot(obLevel, title='Over Bought Level 1', color=color.new(colorWhite, 11), linewidth=1, style=plot.style_line)
plot(obLevel2, title='Over Bought Level 2', color=color.new(colorWhite, 85), linewidth=1, style=plot.style_stepline)
plot(obLevel3, title='Over Bought Level 3', color=color.new(colorWhite, 95), linewidth=1, style=plot.style_circles)

plot(osLevel, title='Over Sold Level 1', color=color.new(colorWhite, 11), linewidth=1, style=plot.style_line)
plot(osLevel2, title='Over Sold Level 2', color=color.new(colorWhite, 85), linewidth=1, style=plot.style_stepline)

// Sommi flag
plotchar(sommiFlagShow and sommiBearish ? 108 : na, title='Sommi bearish flag', char='⚑', color=color.new(colorPink, 0), location=location.absolute, size=size.tiny)
plotchar(sommiFlagShow and sommiBullish ? -108 : na, title='Sommi bullish flag', char='⚑', color=color.new(colorBluelight, 0), location=location.absolute, size=size.tiny)
plot(sommiShowVwap ? ta.ema(hvwap, 3) : na, title='Sommi higher VWAP', color=color.new(colorYellow, 15), linewidth=2, style=plot.style_line)

// Sommi diamond
plotchar(sommiDiamondShow and sommiBearishDiamond ? 108 : na, title='Sommi bearish diamond', char='◆', color=color.new(colorPink, 0), location=location.absolute, size=size.tiny)
plotchar(sommiDiamondShow and sommiBullishDiamond ? -108 : na, title='Sommi bullish diamond', char='◆', color=color.new(colorBluelight, 0), location=location.absolute, size=size.tiny)

// Circles
plot(wtCross ? wt2 : na, title='Buy and sell circle', color=signalColor, style=plot.style_circles, linewidth=3, transp=15)

plotchar(wtBuyShow and buySignal ? -107 : na, title='Buy circle', char='·', color=color.new(colorGreen, 10), location=location.absolute, size=size.small)
plotchar(wtSellShow and sellSignal ? 105 : na, title='Sell circle', char='·', color=color.new(colorRed, 10), location=location.absolute, size=size.small)

plotchar(wtDivShow and buySignalDiv ? -106 : na, title='Divergence buy circle', char='•', color=buySignalDiv_color, location=location.absolute, size=size.small, offset=-2, transp=70)
plotchar(wtDivShow and sellSignalDiv ? 106 : na, title='Divergence sell circle', char='•', color=sellSignalDiv_color, location=location.absolute, size=size.small, offset=-2, transp=70)

plotchar(wtGoldBuy and wtGoldShow ? -106 : na, title='Gold  buy gold circle', char='•', color=color.new(colorOrange, 60), location=location.absolute, size=size.small, offset=-2)

// } DRAW


long = ta.crossover (wt1, wt2) and wt1<osLevel
// long = wtBullDiv or ta.crossover (wt1, wt2) and wt1<osLevel
// long = wtBullDiv 
// short= wtBearDiv
// short= wtBearDiv or ta.crossunder(wt1, wt2) and wt1>obLevel
short= ta.crossunder(wt1, wt2) and wt1>obLevel

// Position Management Tools
pos = 0.0
pos:= long? 1 : short? -1 : pos[1]

longCond  = long  and (pos[1]!= 1 or na(pos[1]))
shortCond = short and (pos[1]!=-1 or na(pos[1]))

// EXIT FUNCTIONS //
i_sl  = input.float(0.0, title="Stop Loss %     ", minval=0, step=1, inline='sl ')
i_tp  = input.float(0.0, title="Take Profit %   ", minval=0, step=1, inline='tp ')
i_tsl = input.float(0.0, title="Trailing Stop Loss %", minval=0, step=1, inline='tsl')

sl  = i_sl >0? i_sl /100 : 99999
tp  = i_tp >0? i_tp /100 : 99999
tsl = i_tsl>0? i_tsl/100 : 99999

long_entry  = ta.valuewhen(longCond , close, 0)
short_entry = ta.valuewhen(shortCond, close, 0)

// Trailing Stop Loss
trail_long = 0.0, trail_short = 0.0
trail_long  := longCond? high : high>trail_long[1]? high : pos<1 ? 0  : trail_long[1]
trail_short := shortCond? low : low<trail_short[1]? low : pos>-1 ? 99999  : trail_short[1]
trail_long_final   = trail_long  * (1-tsl)
trail_short_final  = trail_short * (1+tsl)

// Simple Stop Loss and Take Profit
sl_long0   = long_entry * (1 - sl)
sl_short0  = short_entry * (1 + sl)

tp_long  = long_entry * (1 + tp)
tp_short = short_entry * (1 - tp)

sl_long  = math.max(sl_long0, trail_long_final)
sl_short = math.min(sl_short0, trail_short_final)

// Position Adjustment
long_sl  = low <sl_long[1]  and pos[1]==1
short_sl = high>sl_short[1] and pos[1]==-1

final_long_tp  = high>tp_long[1]  and pos[1]==1
final_short_tp = low <tp_short[1] and pos[1]==-1

if ((long_sl or final_long_tp) and not shortCond) or ((short_sl or final_short_tp) and not longCond)
    pos:=0
    
//  Strategy Backtest Limiting Algorithm
i_startTime = input(defval = timestamp("01 Sep 2002 13:30 +0000"), title = "Backtesting Start Time")
i_endTime   = input(defval = timestamp("30 Sep 2099 19:30 +0000"), title = "Backtesting End Time"  )
timeCond   = true
strategy.initial_capital = 50000
equity = strategy.initial_capital + strategy.netprofit

if equity>0 and timeCond
    if longCond
        strategy.entry("long" , strategy.long )
    if shortCond
        strategy.entry("short", strategy.short)
    
    strategy.exit("SL/TP", from_entry = "long" , stop=sl_long , limit=tp_long , comment_profit ='TP', comment_loss='SL')
    strategy.exit("SL/TP", from_entry = "short", stop=sl_short, limit=tp_short, comment_profit ='TP', comment_loss='SL')

// ALERTS {

// BUY
alertcondition(longCond, 'Buy (Big green circle)', 'Green circle WaveTrend Oversold')
alertcondition(buySignalDiv, 'Buy (Big green circle + Div)', 'Buy & WT Bullish Divergence & WT Overbought')
alertcondition(wtGoldBuy, 'GOLD Buy (Big GOLDEN circle)', 'Green & GOLD circle WaveTrend Overbought')
alertcondition(sommiBullish or sommiBullishDiamond, 'Sommi bullish flag/diamond', 'Blue flag/diamond')
alertcondition(wtCross and wtCrossUp, 'Buy (Small green dot)', 'Buy small circle')

// SELL
alertcondition(sommiBearish or sommiBearishDiamond, 'Sommi bearish flag/diamond', 'Purple flag/diamond')
alertcondition(sellSignal, 'Sell (Big red circle)', 'Red Circle WaveTrend Overbought')
alertcondition(sellSignalDiv, 'Sell (Big red circle + Div)', 'Buy & WT Bearish Divergence & WT Overbought')
alertcondition(wtCross and wtCrossDown, 'Sell (Small red dot)', 'Sell small circle')

// } ALERTS


template: strategy.tpl:40:21: executing "strategy.tpl" at <.api.GetStrategyListByName>: wrong number of args for GetStrategyListByName: want 7 got 6