SMI-MA Long Strategy

// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © rhapsodyz

//@version=5
strategy("SMI-MA Long Strategy", overlay = true, pyramiding = 0, initial_capital = 100000, commission_type = strategy.commission.percent, commission_value = 0.04, slippage = 2)

// #######################
// === General Numbers ===
// #######################

// === Equity Usage ===
equityUsage = input(0.9, title="Equity Usage Percentage")
_qty = (strategy.equity * equityUsage) / close

// === Input MA Series ===
fastLength      = input(12, title="Fast Length")
slowLength      = input(26, title="Slow Length")
signalLength    = input(9, title="Signal Length")

// === Input Smoothed Stochastic ===
lengthK     = input.int(10, "%K Length",  minval = 1, maxval = 15000)
lengthD     = input.int(3,  "%D Length",  minval = 1, maxval = 4999)
lengthEMA   = input.int(8,  "EMA Length", minval = 1, maxval = 4999)
oversold    = -40
overbought  = 40

// ##################
// === Indicators ===
// ##################

// === EMA series ===
maFast      = ta.ema(close, fastLength)
maSlow      = ta.ema(close, slowLength)
ema20       = ta.ema(close, 20)
diff        = maFast - maSlow
bullTrend   = diff >= 0
bearTrend   = diff <  0

// === MACD series ===
[macdLine, signalLine, histLine] = ta.macd(close, fastLength, slowLength, signalLength)
diffHist = histLine - histLine[1]

emaEma(source, length) => ta.ema(ta.ema(source, length), length)

// === Stochastic Momentum Index ===
highestHigh         = ta.highest(lengthK)
lowestLow           = ta.lowest(lengthK)
highestLowestRange  = highestHigh - lowestLow
relativeRange       = close - (highestHigh + lowestLow) / 2
smi                 = 200 * (emaEma(relativeRange, lengthD) / emaEma(highestLowestRange, lengthD))
smiEMA              = ta.ema(smi, lengthEMA)
smiDiff             = smi - smiEMA
smiDiv              = smiDiff - smiDiff[1]

// ##################
// === Conditions ===
// ##################

// === MA ===
maLongOpen    = ta.crossover(maFast, maSlow)
maLongExit    = ta.crossunder(maFast, maSlow)
maShortOpen   = ta.crossunder(maFast, maSlow)
maShortExit   = ta.crossover(maFast, maSlow)

// === MACD ===
macdOpen      = ta.crossover(histLine, ta.sma(histLine, 3))  and histLine < 0 
macdClose     = ta.crossunder(histLine, ta.sma(histLine, 3)) and histLine > 0
macdLong      = ta.crossover(histLine, 0) and close > ema20
macdShort     = ta.crossunder(histLine, 0) and close < ema20

// === Stochastic ===
smiLongOpen   = (ta.crossover(smi, smiEMA)     and  smi < overbought)
smiLongExit   = (ta.crossunder(smi, smiEMA)   and  smi > 10)           or   ta.crossunder(maFast, maSlow)    //or (ta.crossover(smiEMA, overbought))
smiShortOpen  = (ta.crossunder(smi, smiEMA)    and  smi > overbought)
smiShortExit  = (ta.crossover(smi, smiEMA) and  smi < oversold)        or   ta.crossover(maFast, maSlow)      or   smiDiff[1] < smiDiff //or (ta.crossunder(smiEMA, oversold))

// #######################
// === Risk Management ===
// #######################

// === Stop-loss ===
stopLoss   = input(3, "Stop Loss")
var float stopLossPrice = na
// === Take-profit ===
takeProfit = input(30, "Take Profit")
var float takeProfitPrice = na

// #######################
// === Order Execution ===
// #######################

// === Execute long entry ===
if smiLongOpen
    stopLossPrice   := close * (1 - stopLoss/100)
    takeProfitPrice := close * (1 + takeProfit/100)
    strategy.entry("Long", strategy.long, qty = _qty)
    strategy.exit("exit", "Long", stop = stopLossPrice, limit = takeProfitPrice)

// === Execute long exit ===
if smiLongExit
    strategy.close("Long", qty_percent=100)

// === Execute short entry ===
if macdClose
    stopLossPrice   := close * (1 + stopLoss/100)
    takeProfitPrice := close * (1 - takeProfit/100)
    strategy.entry("Short", strategy.short, qty = _qty)
    strategy.exit("Exit", "Short", stop = stopLossPrice, limit = takeProfitPrice)

// === Execute short exit ===
if macdLong or macdOpen
    strategy.close("Short", qty_percent = 100)