Estrategia de trading cuantitativo basada en el canal SSL y la tendencia de onda


Fecha de creación: 2024-02-19 11:47:38 Última modificación: 2024-02-19 11:47:38
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Estrategia de trading cuantitativo basada en el canal SSL y la tendencia de onda

Descripción general

La estrategia se basa principalmente en el indicador de canal SSL y el indicador de tendencias de ondas, en combinación con otros indicadores auxiliares, para lograr una estrategia de comercio cuantitativa más completa. El nombre de la estrategia contiene los indicadores centrales de canal SSL y tendencias de ondas, así como las palabras clave de comercio cuantitativo, que cumplen con los requisitos.

Principio de estrategia

La estrategia se basa en seis condiciones de entrada, de las cuales las dos primeras son las condiciones centrales:

  1. La línea de base de los indicadores mixtos SSL es azul (al alza) o rojo (a la baja).
  2. El indicador de la vía SSL se bifurca hacia arriba (a la baja) o hacia abajo (a la baja)
  3. El indicador de tendencia de ondas se bifurca hacia arriba (a la baja) o hacia abajo (a la baja)
  4. La línea de entrada K no supera el umbral
  5. La línea K de entrada está dentro del corredor de Bryn.
  6. Los puntos de parada no tocan la línea recta

Cuando se cumplen estas seis condiciones, la estrategia entra en juego con una posición de plus o de minus. La distancia de parada se calcula en función de los valores del indicador ATR, y la distancia de parada es el doble de la RRR de la parada.

La estrategia también cuenta con un mecanismo de gestión de riesgos completo, que incluye la configuración de stop loss, el control del tamaño de la posición y el control de la máxima retirada. Además, la estrategia traza líneas auxiliares en el gráfico para ver de forma intuitiva cada punto de parada y parada, así como las pérdidas y ganancias específicas. Esto es muy útil para el análisis y la optimización de la estrategia.

Análisis de las ventajas

La mayor ventaja de esta estrategia es que el uso de los indicadores de la vía SSL para determinar la dirección de la tendencia es muy preciso, y la confirmación de indicadores como la tendencia de la ola puede reducir considerablemente las señales falsas. Al mismo tiempo, las estrictas condiciones de entrada también pueden evitar transacciones innecesarias, lo que reduce el número de transacciones y reduce los costos de transacción.

Además, el sistema de gestión de riesgos y fondos de esta estrategia es una gran ventaja. Una buena estrategia de stop loss y stop-loss preestablecida puede controlar eficazmente la pérdida máxima de una sola operación.

Análisis de riesgos

El mayor riesgo de esta estrategia es que las estrictas condiciones de entrada pueden perder algunas oportunidades de negociación, lo que puede afectar la rentabilidad. La rentabilidad de esta estrategia también se ve afectada cuando el mercado está en un estado de agitación.

Además, los indicadores como la tendencia de las olas que juzgan la eficacia de la tendencia del mercado también pueden verse afectados por anomalías del mercado como la falsa ruptura. En este caso, es necesario ajustar los parámetros o agregar otros indicadores para su confirmación.

En general, el riesgo de la estrategia es controlado. A través de ajustes y optimizaciones de parámetros, la estrategia puede adaptarse mejor a diferentes entornos de mercado.

Dirección de optimización

La estrategia también tiene varias opciones de optimización:

  1. Optimización de los parámetros de la tendencia de las olas para determinar con mayor precisión el punto de inflexión de la tendencia

  2. Añadir otros indicadores para la confirmación, como KDJ, MACD, etc., para evitar el efecto de la falsa brecha

  3. Se pueden ajustar los parámetros de optimización para diferentes variedades y diferentes ciclos para mejorar la estabilidad de la estrategia

  4. Agrega algoritmos de aprendizaje automático, utiliza entrenamiento de datos históricos y optimiza los parámetros de la estrategia en tiempo real

  5. El uso de algoritmos como el factor de alta frecuencia para aumentar la frecuencia de operaciones y la rentabilidad de las estrategias

Con la implementación de estas medidas de optimización, se espera alcanzar un mayor nivel de rentabilidad y estabilidad de la estrategia.

Resumir

En general, la estrategia integra una variedad de indicadores y un mecanismo de entrada estricto, que garantiza un alto índice de ganancias y un buen efecto de control de riesgos. En combinación con la dirección de optimización futura, la estrategia tiene un gran potencial de desarrollo y es una estrategia de comercio cuantitativa recomendable.

Código Fuente de la Estrategia
/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-31 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/
// © kevinmck100

// @credits
//      - Wave Trend:               Indicator: WaveTrend Oscillator [WT] by @LazyBear
//      - SSL Channel:              SSL channel by @ErwinBeckers
//      - SSL Hybrid:               SSL Hybrid by @Mihkel00
//      - Keltner Channels:         Keltner Channels Bands by @ceyhun
//      - Candle Height:            Candle Height in Percentage - Columns by @FreeReveller
//      - NNFX ATR:                 NNFX ATR by @sueun123
// 
// Strategy: Based on the YouTube video "This Unique Strategy Made 47% Profit in 2.5 Months [SSL + Wave Trend Strategy Tested 100 Times]" by TradeSmart.


// @description
//
// Strategy incorporates the following features:
//
//      - Risk management:  Configurable X% loss per stop loss
//                          Configurable R:R ratio
//
//      - Trade entry:      Based on strategy conditions below
//
//      - Trade exit:       Based on strategy conditions below
//
//      - Backtesting:      Configurable backtesting range by date
//
//      - Chart drawings:   Each entry condition indicator can be turned on and off
//                          TP/SL boxes drawn for all trades. Can be turned on and off
//                          Trade exit information labels. Can be turned on and off
//                          NOTE: Trade drawings will only be applicable when using overlay strategies
//
//      - Alerting:         Alerts on LONG and SHORT trade entries
//
//      - Debugging:        Includes section with useful debugging techniques
//
// Strategy conditions:
//
//      - Trade entry:      LONG:   C1: SSL Hybrid baseline is BLUE
//                                  C2: SSL Channel crosses up (green on top)
//                                  C3: Wave Trend crosses up (represented by pink candle body)
//                                  C4: Entry candle height is not greater than configured threshold
//                                  C5: Entry candle is inside Keltner Channel (wicks or body depending on configuration)
//                                  C6: Take Profit target does not touch EMA (represents resistance)
//
//                          SHORT:  C1: SSL Hybrid baseline is RED
//                                  C2: SSL Channel crosses down (red on top)
//                                  C3: Wave Trend crosses down (represented by orange candle body)
//                                  C4: Entry candle height is not greater than configured threshold
//                                  C5: Entry candle is inside Keltner Channel (wicks or body depending on configuration)
//                                  C6: Take Profit target does not touch EMA (represents support)
//
//      - Trade exit:       Stop Loss: Size configurable with NNFX ATR multiplier
//                          Take Profit: Calculated from Stop Loss using R:R ratio

//@version=5
INITIAL_CAPITAL = 1000
DEFAULT_COMMISSION = 0.02
MAX_DRAWINGS = 500
IS_OVERLAY = true

strategy("SSL + Wave Trend Strategy", overlay = IS_OVERLAY, initial_capital = INITIAL_CAPITAL, currency = currency.NONE, max_labels_count = MAX_DRAWINGS, max_boxes_count = MAX_DRAWINGS, max_lines_count = MAX_DRAWINGS, default_qty_type = strategy.cash, commission_type = strategy.commission.percent, commission_value = DEFAULT_COMMISSION)

// =============================================================================
// INPUTS
// =============================================================================

// ----------------------
// Trade Entry Conditions
// ----------------------
useSslHybrid        = input.bool    (true,  "Use SSL Hybrid Condition",                     group = "Strategy: Entry Conditions",   inline = "SC1")
useKeltnerCh        = input.bool    (true,  "Use Keltner Channel Condition   ",             group = "Strategy: Entry Conditions",   inline = "SC2")
keltnerChWicks      = input.bool    (true,  "Keltner Channel Include Wicks",                group = "Strategy: Entry Conditions",   inline = "SC2")
useEma              = input.bool    (true,  "Target not touch EMA Condition",               group = "Strategy: Entry Conditions",   inline = "SC3")
useCandleHeight     = input.bool    (true,  "Use Candle Height Condition",                  group = "Strategy: Entry Conditions",   inline = "SC4")
candleHeight        = input.float   (1.0,   "Candle Height Threshold     ",                 group = "Strategy: Entry Conditions",   inline = "SC5", minval = 0, step = 0.1, tooltip = "Percentage difference between high and low of a candle. Expressed as a decimal. Lowering this value will filter out trades on volatile candles.")

// ---------------------
// Trade Exit Conditions
// ---------------------
slAtrMultiplier     = input.float   (1.7,   "Stop Loss ATR Multiplier     ",                group = "Strategy: Exit Conditions",    inline = "EC1", minval = 0, step = 0.1,     tooltip = "Size of StopLoss is determined by multiplication of ATR value. Take Profit is derived from this also by multiplying the StopLoss value by the Risk:Reward multiplier.")

// ---------------
// Risk Management
// ---------------
riskReward          = input.float   (2.5,  "Risk : Reward        1 :",                      group = "Strategy: Risk Management",    inline = "RM1", minval = 0, step = 0.1,     tooltip = "Used to determine Take Profit level. Take Profit will be Stop Loss multiplied by this value.")
accountRiskPercent  = input.float   (1,    "Portfolio Risk %         ",                     group = "Strategy: Risk Management",    inline = "RM2", minval = 0, step = 0.1,     tooltip = "Percentage of portfolio you lose if trade hits SL.\n\nYou then stand to gain\n  Portfolio Risk % * Risk : Reward\nif trade hits TP.")

// ----------
// Date Range
// ----------
startYear           = input.int     (2022,  "Start Date       ",                            group = "Strategy: Date Range",     inline = "DR1", minval    = 1900, maxval = 2100)
startMonth          = input.int     (1,     "",                                             group = "Strategy: Date Range",     inline = "DR1", options   = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
startDate           = input.int     (1,     "",                                             group = "Strategy: Date Range",     inline = "DR1", options   = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])
endYear             = input.int     (2100,  "End Date      ",                               group = "Strategy: Date Range",     inline = "DR2", minval    = 1900, maxval = 2100)
endMonth            = input.int     (1,     "",                                             group = "Strategy: Date Range",     inline = "DR2", options   = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12])
endDate             = input.int     (1,     "",                                             group = "Strategy: Date Range",     inline = "DR2", options   = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31])

// ----------------
// Display Settings
// ----------------
showTpSlBoxes       = input.bool    (true,  "Show TP / SL Boxes",                           group = "Strategy: Drawings",       inline = "D1",  tooltip = "Show or hide TP and SL position boxes.\n\nNote: TradingView limits the maximum number of boxes that can be displayed to 500 so they may not appear for all price data under test.")
showLabels          = input.bool    (false, "Show Trade Exit Labels",                       group = "Strategy: Drawings",       inline = "D2",  tooltip = "Useful labels to identify Profit/Loss and cumulative portfolio capital after each trade closes.\n\nAlso note that TradingView limits the max number of 'boxes' that can be displayed on a chart (max 500). This means when you lookback far enough on the chart you will not see the TP/SL boxes. However you can check this option to identify where trades exited.")

// ------------------
// Indicator Settings
// ------------------

// Indicator display options
showSslHybrid       = input.bool    (true,  "Show SSL Hybrid",                              group = "Indicators: Drawings",     inline = "ID1")
showSslChannel      = input.bool    (true,  "Show SSL Channel",                             group = "Indicators: Drawings",     inline = "ID2")
showEma             = input.bool    (true,  "Show EMA",                                     group = "Indicators: Drawings",     inline = "ID3")
showKeltner         = input.bool    (true,  "Show Keltner Channel",                         group = "Indicators: Drawings",     inline = "ID4")
showWaveTrend       = input.bool    (true,  "Show Wave Trend Flip Candles",                 group = "Indicators: Drawings",     inline = "ID5")
showAtrSl           = input.bool    (true,  "Show ATR Stop Loss Bands",                     group = "Indicators: Drawings",     inline = "ID6")

// Wave Trend Settings
n1                  = input.int     (10,     "Channel Length         ",                     group = "Indicators: Wave Trend",   inline = "WT1")
n2                  = input.int     (21,     "Average Length         ",                     group = "Indicators: Wave Trend",   inline = "WT2")
obLevel1            = input.int     (60,     "Over Bought Level 1       ",                  group = "Indicators: Wave Trend",   inline = "WT3")
obLevel2            = input.int     (53,     "Over Bought Level 2       ",                  group = "Indicators: Wave Trend",   inline = "WT4")
osLevel1            = input.int     (-60,    "Over Sold Level 1         ",                  group = "Indicators: Wave Trend",   inline = "WT5")
osLevel2            = input.int     (-53,    "Over Sold Level 2         ",                  group = "Indicators: Wave Trend",   inline = "WT6")

// SSL Channel Settings
sslChLen            = input.int     (10,     "Period             ",                         group = "Indicators: SSL Channel",  inline = "SC1")

// SSL Hybrid Settings
// Show/hide Inputs
show_color_bar      = input.bool    (false, "Show Color Bars",                              group = "Indicators: SSL Hybrid",   inline = "SH2")
// Baseline Inputs
maType              = input.string  ("HMA", "Baseline Type                       ",         group = "Indicators: SSL Hybrid",   inline = "SH3", options=["SMA", "EMA", "DEMA", "TEMA", "LSMA", "WMA", "MF", "VAMA", "TMA", "HMA", "JMA", "Kijun v2", "EDSMA", "McGinley"])
len                 = input.int     (60,    "Baseline Length                      ",        group = "Indicators: SSL Hybrid",   inline = "SH4")
src                 = input.source  (close, "Source                          ",             group = "Indicators: SSL Hybrid",   inline = "SH5")
kidiv               = input.int     (1,     "Kijun MOD Divider                     ",       group = "Indicators: SSL Hybrid",   inline = "SH6", maxval=4)
jurik_phase         = input.int     (3,     "* Jurik (JMA) Only - Phase                 ",  group = "Indicators: SSL Hybrid",   inline = "SH7")
jurik_power         = input.int     (1,     "* Jurik (JMA) Only - Power                 ",  group = "Indicators: SSL Hybrid",   inline = "SH8")
volatility_lookback = input.int     (10,    "* Volatility Adjusted (VAMA) Only - Volatility lookback length", group = "Indicators: SSL Hybrid",   inline = "SH9")
//Modular Filter Inputs
beta                = input.float   (0.8,   "Modular Filter, General Filter Only - Beta               ",   group = "Indicators: SSL Hybrid",   inline = "SH10", minval=0, maxval=1, step=0.1)
feedback            = input.bool    (false, "Modular Filter Only - Feedback",               group = "Indicators: SSL Hybrid",   inline = "SH11")
z                   = input.float   (0.5,   "Modular Filter Only - Feedback Weighting               ",     group = "Indicators: SSL Hybrid",   inline = "SH12", step=0.1, minval=0, maxval=1)
//EDSMA Inputs
ssfLength           = input.int     (20,    "EDSMA - Super Smoother Filter Length               ",         group = "Indicators: SSL Hybrid",   inline = "SH13", minval=1)
ssfPoles            = input.int     (2,     "EDSMA - Super Smoother Filter Poles               ",          group = "Indicators: SSL Hybrid",   inline = "SH14", options=[2, 3])
///Keltner Baseline Channel Inputs
useTrueRange        = input.bool    (true,  "Use True Range?",                              group = "Indicators: SSL Hybrid",   inline = "SH15")
multy               = input.float   (0.2,   "Base Channel Multiplier                   ",   group = "Indicators: SSL Hybrid",   inline = "SH16",    step=0.05)

// EMA Settings
emaLength           = input.int     (200,   "EMA Length          ",                         group = "Indicators: EMA",          inline = "E1",      minval = 1)

// Keltner Channel Settings
kcLength            = input.int     (20,    "Length              ",                         group = "Indicators: Keltner Channel",  inline = "KC1", minval=1)
kcMult              = input.float   (1.5,   "Multiplier             ",                      group = "Indicators: Keltner Channel",  inline = "KC2")
kcSrc               = input.source  (close, "Source              ",                         group = "Indicators: Keltner Channel",  inline = "KC3")
alen                = input.int     (10,    "ATR Length            ",                       group = "Indicators: Keltner Channel",  inline = "KC4", minval=1)

// Candle Height in Percentage Settings
chPeriod            = input.int     (20,    "Period             ",                          group = "Indicators: Candle Height",    inline = "CH1")

// NNFX ATR Settings
nnfxAtrLength       = input.int     (14,    "Length              ",                         group = "Indicators: NNFX ATR (Stop Loss Settings)",    inline = "ATR1", minval = 1)
nnfxSmoothing       = input.string  ("RMA", "Smoothing            ",                        group = "Indicators: NNFX ATR (Stop Loss Settings)",    inline = "ATR3", options = ["RMA", "SMA", "EMA", "WMA"])

// =============================================================================
// INDICATORS
// =============================================================================

// ----------
// Wave Trend
// ----------
ap          = hlc3
esa         = ta.ema(ap, n1)
d           = ta.ema(math.abs(ap - esa), n1)
ci          = (ap - esa) / (0.015 * d)
tci         = ta.ema(ci, n2)
wt1         = tci
wt2         = ta.sma(wt1, 4)

// Show Wave Trend crosses on chart as colour changes (pink bullish, orange bearish)
wtBreakUp   = ta.crossover  (wt1, wt2)
wtBreakDown = ta.crossunder (wt1, wt2)
barColour   = showWaveTrend ? wtBreakUp ? color.fuchsia : wtBreakDown ? color.orange : na : na
barcolor(color = barColour)

// -----------
// SSL Channel
// -----------
smaHigh             = ta.sma(high, sslChLen)
smaLow              = ta.sma(low, sslChLen)
var int sslChHlv    = na
sslChHlv           := close > smaHigh ? 1 : close < smaLow ? -1 : sslChHlv[1]
sslChDown           = sslChHlv < 0 ? smaHigh : smaLow
sslChUp             = sslChHlv < 0 ? smaLow : smaHigh

plot(showSslChannel ? sslChDown : na, "SSL Channel Down", linewidth=1, color=color.new(color.red, 30))
plot(showSslChannel ? sslChUp   : na, "SSL Channel Up",   linewidth=1, color=color.new(color.lime, 30))

// ----------
// SSL Hybrid
// ----------
//EDSMA
get2PoleSSF(src, length) =>
    PI  = 2 * math.asin(1)
    arg = math.sqrt(2) * PI / length
    a1  = math.exp(-arg)
    b1  = 2 * a1 * math.cos(arg)
    c2  = b1
    c3  = -math.pow(a1, 2)
    c1  = 1 - c2 - c3

    ssf = 0.0
    ssf:= c1 * src + c2 * nz(ssf[1]) + c3 * nz(ssf[2])
    ssf

get3PoleSSF(src, length) =>
    PI      = 2 * math.asin(1)

    arg     = PI / length
    a1      = math.exp(-arg)
    b1      = 2 * a1 * math.cos(1.738 * arg)
    c1      = math.pow(a1, 2)

    coef2   = b1 + c1
    coef3   = -(c1 + b1 * c1)
    coef4   = math.pow(c1, 2)
    coef1   = 1 - coef2 - coef3 - coef4

    ssf     = 0.0
    ssf    := coef1 * src + coef2 * nz(ssf[1]) + coef3 * nz(ssf[2]) + coef4 * nz(ssf[3])
    ssf

ma(type, src, len) =>
    float result = 0
    if type == "TMA"
        result := ta.sma(ta.sma(src, math.ceil(len / 2)), math.floor(len / 2) + 1)
        result
    if type == "MF"
        ts      = 0.
        b       = 0.
        c       = 0.
        os      = 0.
        //----
        alpha   = 2 / (len + 1)
        a       = feedback ? z * src + (1 - z) * nz(ts[1], src) : src
        //----
        b      := a > alpha * a + (1 - alpha) * nz(b[1], a) ? a : alpha * a + (1 - alpha) * nz(b[1], a)
        c      := a < alpha * a + (1 - alpha) * nz(c[1], a) ? a : alpha * a + (1 - alpha) * nz(c[1], a)
        os     := a == b ? 1 : a == c ? 0 : os[1]
        //----
        upper   = beta * b + (1 - beta) * c
        lower   = beta * c + (1 - beta) * b
        ts     := os * upper + (1 - os) * lower
        result := ts
        result
    if type == "LSMA"
        result := ta.linreg(src, len, 0)
        result
    if type == "SMA"  // Simple
        result := ta.sma(src, len)
        result
    if type == "EMA"  // Exponential
        result := ta.ema(src, len)
        result
    if type == "DEMA"  // Double Exponential
        e = ta.ema(src, len)
        result := 2 * e - ta.ema(e, len)
        result
    if type == "TEMA"  // Triple Exponential
        e = ta.ema(src, len)
        result := 3 * (e - ta.ema(e, len)) + ta.ema(ta.ema(e, len), len)
        result
    if type == "WMA"  // Weighted
        result := ta.wma(src, len)
        result
    if type == "VAMA"  // Volatility Adjusted
        /// Copyright © 2019 to present, Joris Duyck (JD)
        mid     = ta.ema(src, len)
        dev     = src - mid
        vol_up  = ta.highest(dev, volatility_lookback)
        vol_down= ta.lowest(dev, volatility_lookback)
        result := mid + math.avg(vol_up, vol_down)
        result
    if type == "HMA"  // Hull
        result := ta.wma(2 * ta.wma(src, len / 2) - ta.wma(src, len), math.round(math.sqrt(len)))
        result
    if type == "JMA"  // Jurik
        /// Copyright © 2018 Alex Orekhov (everget)
        /// Copyright © 2017 Jurik Research and Consulting.
        phaseRatio  = jurik_phase < -100 ? 0.5 : jurik_phase > 100 ? 2.5 : jurik_phase / 100 + 1.5
        beta        = 0.45 * (len - 1) / (0.45 * (len - 1) + 2)
        alpha       = math.pow(beta, jurik_power)
        jma         = 0.0
        e0          = 0.0
        e0         := (1 - alpha) * src + alpha * nz(e0[1])
        e1          = 0.0
        e1         := (src - e0) * (1 - beta) + beta * nz(e1[1])
        e2          = 0.0
        e2         := (e0 + phaseRatio * e1 - nz(jma[1])) * math.pow(1 - alpha, 2) + math.pow(alpha, 2) * nz(e2[1])
        jma        := e2 + nz(jma[1])
        result     := jma
        result
    if type == "Kijun v2"
        kijun           = math.avg(ta.lowest(len), ta.highest(len))  //, (open + close)/2)
        conversionLine  = math.avg(ta.lowest(len / kidiv), ta.highest(len / kidiv))
        delta           = (kijun + conversionLine) / 2
        result         := delta
        result
    if type == "McGinley"
        mg              = 0.0
        mg             := na(mg[1]) ? ta.ema(src, len) : mg[1] + (src - mg[1]) / (len * math.pow(src / mg[1], 4))
        result         := mg
        result
    if type == "EDSMA"
        zeros       = src - nz(src[2])
        avgZeros    = (zeros + zeros[1]) / 2
        // Ehlers Super Smoother Filter 
        ssf         = ssfPoles == 2 ? get2PoleSSF(avgZeros, ssfLength) : get3PoleSSF(avgZeros, ssfLength)
        // Rescale filter in terms of Standard Deviations
        stdev       = ta.stdev(ssf, len)
        scaledFilter= stdev != 0 ? ssf / stdev : 0

        alpha       = 5 * math.abs(scaledFilter) / len

        edsma       = 0.0
        edsma      := alpha * src + (1 - alpha) * nz(edsma[1])
        result     := edsma
        result
    result

///Keltner Baseline Channel
BBMC        = ma(maType, close, len)
Keltma      = ma(maType, src, len)
range_1     = useTrueRange ? ta.tr : high - low
rangema     = ta.ema(range_1, len)
upperk      = Keltma + rangema * multy
lowerk      = Keltma - rangema * multy

//COLORS
color_bar   = close > upperk ? #00c3ff : close < lowerk ? #ff0062 : color.gray

//PLOTS
p1          = plot(showSslHybrid ? BBMC : na, color=color.new(color_bar, 0), linewidth=4, title="MA Baseline")
barcolor(show_color_bar ? color_bar : na)

// ---
// EMA
// ---
ema         = ta.ema(close, emaLength)
plot(showEma ? ema : na, "EMA Trend Line", color.white)

// ----------------
// Keltner Channels
// ----------------
kcMa        = ta.ema(kcSrc, kcLength)

KTop2       = kcMa + kcMult * ta.atr(alen)
KBot2       = kcMa - kcMult * ta.atr(alen)

upperPlot   = plot(showKeltner ? KTop2 : na, color=color.new(color.blue, 0), title="Upper", style = plot.style_stepline)
lowerPlot   = plot(showKeltner ? KBot2 : na, color=color.new(color.blue, 0), title="Lower", style = plot.style_stepline)

// ---------------------------
// Candle Height in Percentage
// ---------------------------
percentHL   = (high - low) / low * 100
percentRed  = open > close ? (open - close) / close * 100 : 0
percentGreen= open < close ? (close - open) / open * 100 : 0

// --------
// NNFX ATR
// --------
function(source, length) =>
    if nnfxSmoothing == "RMA"
        ta.rma(source, nnfxAtrLength)
    else
        if nnfxSmoothing == "SMA"
            ta.sma(source, nnfxAtrLength)
        else
            if nnfxSmoothing == "EMA"
                ta.ema(source, nnfxAtrLength)
            else
                ta.wma(source, nnfxAtrLength)

formula(number, decimals) =>
    factor  = math.pow(10, decimals)
    int(number * factor) / factor

nnfxAtr     = formula(function(ta.tr(true), nnfxAtrLength), 5) * slAtrMultiplier

//Sell
longSlAtr   = nnfxAtrLength ? close - nnfxAtr : close + nnfxAtr
shortSlAtr  = nnfxAtrLength ? close + nnfxAtr : close - nnfxAtr

plot(showAtrSl ? longSlAtr : na,     "Long SL",  color = color.new(color.red, 35), linewidth = 1, trackprice = true, editable = true, style = plot.style_stepline)
plot(showAtrSl ? shortSlAtr : na,    "Short SL", color = color.new(color.red, 35), linewidth = 1, trackprice = true, editable = true, style = plot.style_stepline)


// =============================================================================
// FUNCTIONS
// =============================================================================

percentAsPoints(pcnt) =>
    math.round(pcnt / 100 * close / syminfo.mintick)
    
calcStopLossPrice(pointsOffset, isLong) =>
    priceOffset = pointsOffset * syminfo.mintick
    if isLong
        close - priceOffset
    else 
        close + priceOffset

calcProfitTrgtPrice(pointsOffset, isLong) =>
    calcStopLossPrice(-pointsOffset, isLong)
    
        
printLabel(barIndex, msg) => label.new(barIndex, close, msg)

printTpSlHitBox(left, right, slHit, tpHit, entryPrice, slPrice, tpPrice) => 
    if showTpSlBoxes
        box.new (left = left,   top = entryPrice,   right = right,  bottom = slPrice,   bgcolor = slHit ? color.new(color.red, 60)   : color.new(color.gray, 90), border_width = 0)
        box.new (left = left,   top = entryPrice,   right = right,  bottom = tpPrice,   bgcolor = tpHit ? color.new(color.green, 60) : color.new(color.gray, 90), border_width = 0)
        line.new(x1 = left,     y1 = entryPrice,    x2 = right,     y2 = entryPrice,    color = color.new(color.yellow, 20))
        line.new(x1 = left,     y1 = slPrice,       x2 = right,     y2 = slPrice,       color = color.new(color.red, 20))
        line.new(x1 = left,     y1 = tpPrice,       x2 = right,     y2 = tpPrice,       color = color.new(color.green, 20))
        
printTpSlNotHitBox(left, right, entryPrice, slPrice, tpPrice) => 
    if showTpSlBoxes
        box.new (left = left,   top = entryPrice,   right = right,  bottom = slPrice,   bgcolor = color.new(color.gray, 90), border_width = 0)
        box.new (left = left,   top = entryPrice,   right = right,  bottom = tpPrice,   bgcolor = color.new(color.gray, 90), border_width = 0)
        line.new(x1 = left,     y1 = entryPrice,    x2 = right,     y2 = entryPrice,    color = color.new(color.yellow, 20))
        line.new(x1 = left,     y1 = slPrice,       x2 = right,     y2 = slPrice,       color = color.new(color.red, 20))
        line.new(x1 = left,     y1 = tpPrice,       x2 = right,     y2 = tpPrice,       color = color.new(color.green, 20))
        
printTradeExitLabel(x, y, posSize, entryPrice, pnl) => 
    if showLabels
        labelStr = "Position Size: " + str.tostring(math.abs(posSize), "#.##") + "\nPNL: " + str.tostring(pnl, "#.##") + "\nCapital: " + str.tostring(strategy.equity, "#.##") + "\nEntry Price: " + str.tostring(entryPrice, "#.##")
        label.new(x = x, y = y, text = labelStr, color = pnl > 0 ? color.new(color.green, 60) : color.new(color.red, 60), textcolor = color.white, style = label.style_label_down)

// =============================================================================
// STRATEGY LOGIC
// =============================================================================

// See strategy description at top for details on trade entry/exit logis

// ----------
// CONDITIONS
// ----------

// Trade entry and exit variables
var tradeEntryBar   = bar_index
var profitPoints    = 0.
var lossPoints      = 0.
var slPrice         = 0.
var tpPrice         = 0.
var inLong          = false
var inShort         = false

// Exit calculations
slAmount            = nnfxAtr
slPercent           = math.abs((1 - (close - slAmount) / close) * 100)
tpPercent           = slPercent * riskReward
tpPoints            = percentAsPoints(tpPercent)
tpTarget            = calcProfitTrgtPrice(tpPoints, wtBreakUp)

inDateRange         = true

// Condition 1: SSL Hybrid blue for long or red for short
bullSslHybrid       = useSslHybrid ? close > upperk : true
bearSslHybrid       = useSslHybrid ? close < lowerk : true

// Condition 2: SSL Channel crosses up for long or down for short
bullSslChannel      = ta.crossover(sslChUp, sslChDown)
bearSslChannel      = ta.crossover(sslChDown, sslChUp)

// Condition 3: Wave Trend crosses up for long or down for short
bullWaveTrend       = wtBreakUp
bearWaveTrend       = wtBreakDown

// Condition 4: Entry candle heignt <= 0.6 on Candle Height in Percentage
candleHeightValid   = useCandleHeight ? percentGreen <= candleHeight and percentRed <= candleHeight : true

// Condition 5: Entry candle is inside Keltner Channel
withinCh = keltnerChWicks ? high < KTop2 and low > KBot2 : open < KTop2 and close < KTop2 and open > KBot2 and close > KBot2
insideKeltnerCh     = useKeltnerCh ? withinCh : true

// Condition 6: TP target does not touch 200 EMA
bullTpValid         = useEma ? not (close < ema and tpTarget > ema) : true
bearTpValid         = useEma ? not (close > ema and tpTarget < ema) : true

// Combine all entry conditions
goLong              = inDateRange and bullSslHybrid and bullSslChannel and bullWaveTrend and candleHeightValid and insideKeltnerCh and bullTpValid
goShort             = inDateRange and bearSslHybrid and bearSslChannel and bearWaveTrend and candleHeightValid and insideKeltnerCh and bearTpValid

// Entry decisions
openLong            = (goLong and not inLong)
openShort           = (goShort and not inShort)
flippingSides       = (goLong and inShort) or (goShort and inLong)
enteringTrade       = openLong or openShort
inTrade             = inLong or inShort

// Risk calculations
riskAmt             = strategy.equity * accountRiskPercent / 100
entryQty            = math.abs(riskAmt / slPercent * 100)  / close

if openLong
    if strategy.position_size < 0
        printTpSlNotHitBox(tradeEntryBar + 1, bar_index + 1, strategy.position_avg_price, slPrice, tpPrice)
        printTradeExitLabel(bar_index + 1, math.max(tpPrice, slPrice), strategy.position_size, strategy.position_avg_price, strategy.openprofit)
    strategy.entry("Long", strategy.long, qty = entryQty, alert_message = "Long Entry")
    enteringTrade   := true
    inLong          := true
    inShort         := false
    alert(message="BUY Trade Entry Alert", freq=alert.freq_once_per_bar_close)

if openShort
    if strategy.position_size > 0
        printTpSlNotHitBox(tradeEntryBar + 1, bar_index + 1, strategy.position_avg_price, slPrice, tpPrice)
        printTradeExitLabel(bar_index + 1, math.max(tpPrice, slPrice), strategy.position_size, strategy.position_avg_price, strategy.openprofit)
    strategy.entry("Short", strategy.short, qty = entryQty, alert_message = "Short Entry")
    enteringTrade   := true
    inShort         := true
    inLong          := false
    alert(message="SELL Trade Entry Alert", freq=alert.freq_once_per_bar_close)

if enteringTrade
    profitPoints    := percentAsPoints(tpPercent)
    lossPoints      := percentAsPoints(slPercent)
    slPrice         := calcStopLossPrice(lossPoints, openLong)
    tpPrice         := calcProfitTrgtPrice(profitPoints, openLong)
    tradeEntryBar   := bar_index

strategy.exit("TP/SL", profit = profitPoints, loss = lossPoints, comment_profit = "TP Hit", comment_loss = "SL Hit", alert_profit = "TP Hit Alert", alert_loss = "SL Hit Alert")

// =============================================================================
// DRAWINGS
// =============================================================================

// -----------
// TP/SL Boxes
// -----------

slHit           = (inShort and high >= slPrice) or (inLong  and low <= slPrice)
tpHit           = (inLong  and high >= tpPrice) or (inShort and low <= tpPrice)
exitTriggered   = slHit or tpHit
entryPrice      = strategy.closedtrades.entry_price (strategy.closedtrades - 1)
pnl             = strategy.closedtrades.profit      (strategy.closedtrades - 1)
posSize         = strategy.closedtrades.size        (strategy.closedtrades - 1)

// Print boxes for trades closed at profit or loss
if (inTrade and exitTriggered) 
    inShort    := false
    inLong     := false 
    // printTpSlHitBox(tradeEntryBar + 1, bar_index, slHit, tpHit, entryPrice, slPrice, tpPrice)
    // printTradeExitLabel(bar_index, math.max(tpPrice, slPrice), posSize, entryPrice, pnl)

// Print TP/SL box for current open trade
if barstate.islastconfirmedhistory and strategy.position_size != 0
    printTpSlNotHitBox(tradeEntryBar + 1, bar_index + 1, strategy.position_avg_price, slPrice, tpPrice)
    
// =============================================================================
// DEBUGGING
// =============================================================================

// Data window plots
plotchar(goLong,  "Enter Long",  "")
plotchar(goShort, "Enter Short", "")