複数の指標の融合取引戦略

作者: リン・ハーンチャオチャン, 日付: 2023-09-18 17:15:11
タグ:

概要

この戦略は,価格取引のための複数の技術指標を組み合わせます.スーパーシグナル,MACDおよびラグエールRSIを組み合わせて,すべての指標が一致するときにのみ取引を入力します.ストップ・ロストとテイク・プロフィートポイントはリスク/リターンを制御するために設定されています.

戦略の論理

スーパーシグナルは,取引範囲帯を形成するベースライン,上部および下部チャネルで構成される.MACDは牛/熊トレンドを決定する.Laguerre RSIは過買い/過売りレベルを識別する.取引シグナルは,価格がスーパーシグナルのチャネルを突破,MACD信号が一致し,RSIが確認されたときにのみ生成される.エントリー後,ストップ損失と利益はATR/パーセントとストップ損失の倍数に基づいて設定される.

利点

  • 複数の指標の検証は信頼性の高い信号を保証します
  • スーパー信号は,主要なサポート/レジスタンスを識別します.
  • MACD は 主要 トレンド 方向 を 決定 する
  • RSIは,罠を避けるために偽の脱出をフィルターします.
  • ストップ・ロスト/得益 取引リスクの管理

リスク

  • 指標パラメータを最適化するために必要な広範な試験
  • 複数の条件が取引頻度を制限する
  • 保持期間を完璧に最適化することはできません
  • 正確 な 転換 点 を 特定 する こと が でき ませ ん

パラメータ,保持期間,利益/損失条件などを調整することでリスクを軽減できます.

改良

  • テストパラメータの組み合わせで,周波数と性能を均衡させる
  • トレーリングストップなどの他のストップ・損失/利益アプローチを検討します.
  • トレンド逆転を特定するために追加的な出口指標をテストする
  • 市場や製品間の安定性を評価する

結論

この多指標確認戦略は,バックテストの結果が良好である.さらなる調整パラメータと厳格なリスク管理は,安定し信頼性の高い取引システムにすることができます.


/*backtest
start: 2023-09-10 00:00:00
end: 2023-09-17 00:00:00
period: 5m
basePeriod: 1m
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/
// © DuDu95
// Thanks to myncrypto, jason5480, kevinmck100
// @version=5
// strategy(title          = '[DuDu95] SSL 4C MACD Laugerre RSI Strategy',
//       shorttitle        = '[D] SMR Strategy',
//       overlay           = true,
//       pyramiding        = 0,
//       currency          = currency.USD,
//       default_qty_type  = strategy.percent_of_equity,
//       default_qty_value = 100,
//       commission_value  = 0.1,
//       initial_capital   = 50000,
//       max_bars_back     = 500,
//       max_lines_count   = 150,
//       max_labels_count  = 300)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Time, Direction, Etc - Basic Settings Inputs
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// 1. Time: Based on UTC +09:00
i_start                 = input (defval = timestamp("20 Jan 1990 00:00 +0900"), title = "Start Date", tooltip = "Choose Backtest Start Date", inline = "Start Date", group = "Time" ) 
i_end                   = input (defval = timestamp("20 Dec 2030 00:00 +0900"), title = "End Date", tooltip = "Choose Backtest End Date", inline = "End Date", group = "Time" ) 
inTime                  = true

// 2. Inputs for direction: Long? Short? Both? 
i_longEnabled           = input.bool (defval = true , title = "Long?", tooltip = "Enable Long Position Trade?", inline = "Long / Short", group = "Long / Short" )
i_shortEnabled          = input.bool (defval = true , title = "Short?", tooltip = "Enable Short Position Trade?", inline = "Long / Short", group = "Long / Short" )

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Filter - Inputs, Indicaotrs
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// 3. Use Filters? What Filters?
i_ATRFilterOn           = input.bool (defval = false , title = "ATR Filter On?", tooltip = "ATR Filter On? Order will not be made unless filter condition is fulfilled", inline = "1", group =  "Filters") 
i_ATRFilterLen          = input.int  (defval = 14 ,    title = "Length for ATR Filter", minval = 1 , maxval = 100 , step = 1 , tooltip = "", inline = "2", group = "Filters") 
i_ATRSMALen             = input.int  (defval = 40 ,    title = "SMA Length for ATR SMA", minval = 1 , maxval = 100000 , step = 1 , tooltip = "ATR should be bigger than this", inline = "2", group = "Filters") 

bool i_ATRFilter        = ta.atr(i_ATRFilterLen) >= ta.sma(ta.atr(length = i_ATRFilterLen), i_ATRSMALen) ? true : false
bool filterFulfilled    = not i_ATRFilterOn or i_ATRFilter

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Strategy Logic (Entry & Exit Condition) - Inputs, Indicators for Strategy
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// Inputs for Strategy Indicators
//// 1. SSL Hybrid Baseline
i_useTrueRange           = input.bool   (defval = true, title = "use true range for Keltner Channel?", tooltip = "", inline = "1", group = "1: SSL Hybrid") 
i_maType                 = input.string (defval ='EMA', title='Baseline Type', options=['SMA', 'EMA', 'DEMA', 'TEMA', 'LSMA', 'WMA', 'VAMA', 'TMA', 'HMA', 'McGinley'], inline="2", group = "1: SSL Hybrid")
i_len                    = input.int    (defval =30,    title='Baseline Length', inline="2", group = "1: SSL Hybrid")
i_multy                  = input.float  (defval = 0.2,  title='Base Channel Multiplier', minval = 0, maxval = 100,  step=0.05, inline="3", group = "1: SSL Hybrid")
i_volatility_lookback    = input.int    (defval =10,    title='Volatility lookback length(for VAMA)', inline='4',group="1: SSL Hybrid")

tema(src, len) =>
    ema1 = ta.ema(src, len)
    ema2 = ta.ema(ema1, len)
    ema3 = ta.ema(ema2, len)
    3 * ema1 - 3 * ema2 + ema3

f_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 == '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, i_volatility_lookback)
        vol_down = ta.lowest(dev, i_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 == '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
    result
//// 1-1. SSL Hybrid Keltner Baseline Channel 
BBMC                = f_ma (i_maType, close, i_len) // BaseLone
Keltma              = f_ma (i_maType, close, i_len)
range_1             = i_useTrueRange ? ta.tr : high - low
rangema             = ta.ema(range_1, i_len)
upperk              = Keltma + rangema * i_multy
lowerk              = Keltma - rangema * i_multy

//// 2. 4 Color MACD
i_fastMA            = input.int (defval=12, title='MACD fast MA',       minval=7, inline = '1' , group = '2: 4 Color MACD')
i_slowMA            = input.int (defval=26, title='MACD slow MA',       minval=7, inline = '1' , group = '2: 4 Color MACD')
i_signalLength      = input.int (defval=9,  title='MACD signal Length', minval=1, inline = '2' , group = '2: 4 Color MACD')

[currMacd, _, _]    = ta.macd   (source = close[0], fastlen = i_fastMA, slowlen = i_slowMA, siglen = 9) 
[prevMacd, _, _]    = ta.macd   (source = close[1], fastlen = i_fastMA, slowlen = i_slowMA, siglen = 9)
signalLine          = ta.sma    (currMacd, i_signalLength)

//// 3. Laguerre RSI
i_src               = input       (defval=close,   title='Laguerre RSI source', inline = '1' , group = '3: Laguerre RSI')
i_alpha             = input.float (defval=0.2,     title='Alpha', inline = '2', minval = 0,    maxval = 1,      step = 0.1,    group = '3: Laguerre RSI')
i_overbought        = input.int   (defval=80,      title='Overbought Level?',   minval=50,     maxval = 99,     inline = '4' , group = '3: Laguerre RSI')
i_oversold          = input.int   (defval=20,      title='Overbought Level?',   minval=0,      maxval = 50,     inline = '4' , group = '3: Laguerre RSI')
// i_colorchange       = input.bool  (defval=false,   title='Change Color?',       inline = '3' , group = '3: Laguerre RSI')

float LaRSIResult   = 0
gamma = 1 - i_alpha
L0 = 0.0
L0 := (1 - gamma) * i_src + gamma * nz(L0[1])
L1 = 0.0
L1 := -gamma * L0 + nz(L0[1]) + gamma * nz(L1[1])

L2 = 0.0
L2 := -gamma * L1 + nz(L1[1]) + gamma * nz(L2[1])

L3 = 0.0
L3 := -gamma * L2 + nz(L2[1]) + gamma * nz(L3[1])

cu                  = (L0 > L1 ? L0 - L1 : 0) + (L1 > L2 ? L1 - L2 : 0) + (L2 > L3 ? L2 - L3 : 0)
cd                  = (L0 < L1 ? L1 - L0 : 0) + (L1 < L2 ? L2 - L1 : 0) + (L2 < L3 ? L3 - L2 : 0)

temp                = cu + cd == 0 ? -1 : cu + cd
LaRSI               = temp == -1 ? 0 : cu / temp
LaRSIResult         := LaRSI * 100

// Entry Condition for Long and Short
//// 1. Condition 1: SSL Hybrid
bool bullSSL             = close > upperk
bool bearSSL             = close < lowerk
//// 2. Condition 2: 4 Color MACD
bool bullSignalMACD      = signalLine > 0
bool bearSignalMACD      = signalLine < 0
bool bull4cMACD          = currMacd > prevMacd and prevMacd > 0
bool bear4cMACD          = currMacd < prevMacd and prevMacd < 0
//// 3. Condition 3
bool bullLaRSI           = LaRSIResult < i_overbought
bool bearLaRSI           = LaRSIResult > i_oversold

// Plot: Indicators
//// 1. SSL Hybrid
var bullSSLColor        = #00c3ff
var bearSSLColor        = #ff0062
color_bar               = color.new(color = close > upperk ? bullSSLColor : close < lowerk ? bearSSLColor : color.gray, transp = 0)
plot(series = BBMC, title = 'MA Baseline', color = color_bar, linewidth = 1, style = plot.style_line)

i_show_color_bar        = input.bool(defval = true , title = "Color Bars",inline = "2", group = "Strategy: Drawings") 
barcolor(i_show_color_bar ? color_bar : na)

up_channel              = plot(upperk, color=color_bar, title='Baseline Upper Channel')
low_channel             = plot(lowerk, color=color_bar, title='Basiline Lower Channel')
fill(up_channel, low_channel, color.new(color=color_bar, transp=90))

//// 2. MACD Line
var bull4cMACDColor      = color.lime
var bear4cMACDColor      = color.orange
MACDbgColor              = color.new (color = bull4cMACD and bullSignalMACD ? bull4cMACDColor : bear4cMACD and bearSignalMACD ? bear4cMACDColor : na, transp = not bull4cMACD and not bear4cMACD ? 100 : 80)
bgcolor(color = MACDbgColor, title = "MACD Condition")
// plotColor = currMacd > 0 ? currMacd > prevMacd ? color.lime : color.green : currMacd < prevMacd ? color.maroon : color.red
// plot(currMacd, style=plot.style_columns, color=color.new(plotColor,20), linewidth=3)
// plot(0, title='Zero line', linewidth=1, color=color.new(color.gray, 0))
// plot(signalLine, color=color.new(color.white, 0), title='Signal')

//// 3. Laguerre RSI 
var overboughtColor      = color.blue
var oversoldColor        = color.aqua
LaRSIColor               = color.new(color = LaRSIResult > i_overbought ? overboughtColor : LaRSIResult < i_oversold ? oversoldColor : na, transp = 90)
bgcolor (color = LaRSIColor, title = "LaRSI Condition")
// lineColor = i_colorchange ? LaRSI > LaRSI[1] ? color.green : color.red : color.teal
// plot(LaRSIResult, title='LaRSI', linewidth=2, color=color.new(color=lineColor,transp=0))
// plot(i_oversold, linewidth=1, color=color.new(color.maroon, 0))
// plot(i_overbought, linewidth=1, color=color.new(color.maroon, 0))

////// Entry, Exit
// Long, Short Logic with Indicator
// Basic Cond + Long, Short Entry Condition
bool longCond           = (i_longEnabled and inTime) and (bullSSL and bullSignalMACD and bull4cMACD and bullLaRSI) 
bool shortCond          = (i_shortEnabled and inTime) and (bearSSL and bearSignalMACD and bear4cMACD and bearLaRSI) 

// Basic Cond + Long, Short Exit Condition
bool closeLong          = (i_longEnabled) and (bearSSL or bearSignalMACD)
bool closeShort         = (i_shortEnabled) and (bullSSL or bullSignalMACD)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Position Control
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
// Long, Short Entry Condition + Not entered Position Yet
bool openLong           = longCond and not (strategy.opentrades.size(strategy.opentrades - 1) > 0) and filterFulfilled
bool openShort          = shortCond and not (strategy.opentrades.size(strategy.opentrades - 1) < 0) and filterFulfilled
bool enteringTrade      = openLong or openShort
float entryBarIndex     = bar_index

// Long, Short Entry Fulfilled or Already Entered
bool inLong             = openLong or strategy.opentrades.size(strategy.opentrades - 1) > 0 and not closeLong
bool inShort            = openShort or strategy.opentrades.size(strategy.opentrades - 1) < 0 and not closeShort

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Stop Loss - Inputs, Indicaotrs
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//// Use SL? TSL? 
i_useSLTP               = input.bool   (defval =  true, title = "Enable SL & TP?", tooltip = "", inline = "1", group = "Stop Loss") 
i_tslEnabled            = input.bool   (defval = false , title = "Enable Trailing SL?", tooltip = "Enable Stop Loss & Take Profit? \n\Enable Trailing SL?", inline = "1", group = "Stop Loss") 
// i_breakEvenAfterTP   = input.bool   (defval = false, title = 'Enable Break Even After TP?', tooltip = 'When Take Profit price target is hit, move the Stop Loss to the entry price (or to a more strict price defined by the Stop Loss %/ATR Multiplier).', inline = '2', group = 'Stop Loss / Take Profit')
//// Sl Options
i_slType                = input.string (defval = "ATR", title = "Stop Loss Type", options = ["Percent", "ATR", "Previous LL / HH"], tooltip = "Stop Loss based on %? ATR?", inline = "3", group = "Stop Loss") 
i_slATRLen              = input.int    (defval = 14, title = "ATR Length", minval = 1 , maxval = 200 , step = 1, inline = "4", group = "Stop Loss")  
i_slATRMult             = input.float  (defval = 3, title = "ATR Multiplier", minval = 1 , maxval = 200 , step = 0.1, tooltip = "", inline = "4", group = "Stop Loss") 
i_slPercent             = input.float  (defval = 3, title = "Percent", tooltip = "", inline = "5", group = "Stop Loss")
i_slLookBack            = input.int    (defval = 30, title = "Lowest / Highest Price Before Entry", group = "Stop Loss",  inline = "6", minval = 1, maxval=200, step = 1, tooltip = "Lookback to find the Lowest Price. \nStopLoss is determined by the Lowest price of the look back period. Take Profit is derived from this also by multiplying the StopLoss value by the Risk:Reward multiplier.")

// Functions for Stop Loss
float openAtr           = ta.valuewhen(condition = enteringTrade, source = ta.atr(i_slATRLen), occurrence = 0) 
float openLowest        = ta.valuewhen(condition = openLong, source = ta.lowest(low, i_slLookBack), occurrence = 0)
float openHighest       = ta.valuewhen(condition = openShort, source = ta.highest(high, i_slLookBack), occurrence = 0)

f_getLongSLPrice(source) =>
    switch i_slType
        "Percent"           => source * (1 - (i_slPercent/100))
        "ATR"               => source - (i_slATRMult * openAtr)
        "Previous LL / HH"  => openLowest
        => na

f_getShortSLPrice(source) =>
    switch i_slType
        "Percent"           => source * (1 + (i_slPercent/100))
        "ATR"               => source + (i_slATRMult * openAtr)
        "Previous LL / HH"  => openHighest
        => na

// Calculate Stop Loss
var float longSLPrice   = na
var float shortSLPrice  = na
bool longTPExecuted     = false
bool shortTPExecuted    = false

longSLPrice := if (inLong and i_useSLTP)
    if (openLong)
        f_getLongSLPrice (close)
    else
        // 1. Trailing Stop Loss
        if i_tslEnabled
            stopLossPrice = f_getLongSLPrice (high) 
            math.max(stopLossPrice, nz(longSLPrice[1])) 
        // 2. Normal StopLoss
        else
            nz(source = longSLPrice[1], replacement = 0) 
else
    na           

shortSLPrice := if (inShort and i_useSLTP)
    if (openShort)
        f_getShortSLPrice (close)
    else
        // 1. Trailing Stop Loss
        if i_tslEnabled
            stopLossPrice = f_getShortSLPrice (low) 
            math.min(stopLossPrice, nz(shortSLPrice[1])) 
        // 2. Normal StopLoss
        else
            nz(source = shortSLPrice[1], replacement = 999999.9) 
else
    na           

// Plot: Stop Loss of Long, Short Entry
var longSLPriceColor    = color.new(color.maroon, 0)
plot(series = longSLPrice, title = 'Long Stop Loss', color = longSLPriceColor, linewidth = 1, style = plot.style_linebr, offset = 1)
var shortSLPriceColor   = color.new(color.maroon, 0)
plot(series = shortSLPrice, title = 'Short Stop Loss', color = shortSLPriceColor, linewidth = 1, style = plot.style_linebr, offset = 1)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Take Profit - Inputs, Indicaotrs
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
i_useTPExit             = input.bool   (defval = true, title = "Use Take Profit?", tooltip = "", inline = "1", group = "Take Profit") 
i_RRratio               = input.float  (defval = 1.8, title = "R:R Ratio", minval = 0.1 , maxval = 200 , step = 0.1, tooltip = "R:R Ratio > Risk Reward Ratio? It will automatically set Take Profit % based on Stop Loss", inline = "2", group = "Take Profit") 
i_tpQuantityPerc        = input.float  (defval = 50, title = 'Take Profit Quantity %', minval = 0.0, maxval = 100, step = 1.0, tooltip = '% of position closed when tp target is met.', inline="34", group = 'Take Profit')

var float longTPPrice   = na
var float shortTPPrice  = na

f_getLongTPPrice() =>
    close + i_RRratio * math.abs (close - f_getLongSLPrice (close))

f_getShortTPPrice() =>
    close - i_RRratio * math.abs(close - f_getShortSLPrice (close))

longTPPrice := if (inLong and i_useSLTP)
    if (openLong)
        f_getLongTPPrice ()
    else
        nz(source = longTPPrice[1], replacement = f_getLongTPPrice ()) 
else
    na

shortTPPrice := if (inShort and i_useSLTP)
    if (openShort)
        f_getShortTPPrice ()
    else
        nz(source = shortTPPrice[1], replacement = f_getShortTPPrice ()) 
else
    na

// Plot: Take Profit of Long, Short Entry 
var longTPPriceColor    = color.new(color.teal, 0)
plot(series = longTPPrice, title = 'Long Take Profit', color = longTPPriceColor, linewidth = 1, style = plot.style_linebr, offset = 1)
var shortTPPriceColor   = color.new(color.teal, 0)
plot(series = shortTPPrice, title = 'Short Take Profit', color = shortTPPriceColor, linewidth = 1, style = plot.style_linebr, offset = 1)

// Plot: Entry Price 
var posColor            = color.new(color.white, 0)
plot(series = strategy.opentrades.entry_price(strategy.opentrades - 1), title = 'Position Entry Price', color = posColor, linewidth = 1, style = plot.style_linebr)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Quantity - Inputs
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
i_useRiskManangement    = input.bool  (defval = true, title = "Use Risk Manangement?", tooltip = "", inline = "1", group = "Quantity") 
i_riskPerTrade          = input.float (defval = 3, title = "Risk Per Trade (%)", minval = 0, maxval = 100, step = 0.1, tooltip = "Use Risk Manangement by Quantity Control?", inline = "2", group = "Quantity") 
// i_leverage              = input.float (defval = 2, title = "Leverage", minval = 0, maxval = 100, step = 0.1, tooltip = "Leverage", inline = "3", group = "Quantity") 

float qtyPercent        = na
float entryQuantity     = na

f_calQtyPerc() =>
    if (i_useRiskManangement)
        riskPerTrade        = (i_riskPerTrade) / 100 // 1번 거래시 3% 손실
        stopLossPrice       = openLong ? f_getLongSLPrice (close) : openShort ? f_getShortSLPrice (close) : na
        riskExpected        = math.abs((close-stopLossPrice)/close) // 손절가랑 6% 차이
        riskPerTrade / riskExpected  // 0 ~ 1
    else
        1

f_calQty(qtyPerc) =>
    math.min (math.max (0.000001, strategy.equity / close * qtyPerc), 1000000000)
    
// TP Execution
longTPExecuted          := strategy.opentrades.size(strategy.opentrades - 1) > 0 and (longTPExecuted[1] or strategy.opentrades.size(strategy.opentrades - 1) < strategy.opentrades.size(strategy.opentrades - 1)[1] or strategy.opentrades.size(strategy.opentrades - 1)[1] == 0 and high >= longTPPrice)
shortTPExecuted         := strategy.opentrades.size(strategy.opentrades - 1) < 0 and (shortTPExecuted[1] or strategy.opentrades.size(strategy.opentrades - 1) > strategy.opentrades.size(strategy.opentrades - 1)[1] or strategy.opentrades.size(strategy.opentrades - 1)[1] == 0 and low <= shortTPPrice)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Plot Label, Boxes, Results, Etc
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
i_showSimpleLabel       = input.bool(false, "Show Simple Label for Entry?",     group = "Strategy: Drawings",           inline = "1",  tooltip ="") 
i_showLabels            = input.bool(true, "Show Trade Exit Labels",            group = "Strategy: Drawings",           inline = "1",  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.")
i_showDashboard         = input.bool(false, "Show Dashboard",                    group = "Strategy: Drawings",           inline = "2",  tooltip = "Show Backtest Results. Backtest Dates, Win/Lose Rates, Etc.")

// Plot: Label for Long, Short Entry
var openLongColor       = color.new(#2962FF, 0)
var openShortColor      = color.new(#FF1744, 0)
var entryTextColor      = color.new(color.white, 0)

if (openLong and i_showSimpleLabel)
    label.new (x = bar_index, y = na, text = 'Open', yloc = yloc.belowbar, color = openLongColor, style = label.style_label_up, textcolor = entryTextColor)
    entryBarIndex := bar_index
if (openShort and i_showSimpleLabel)
    label.new (x = bar_index, y = na, text = 'Close', yloc = yloc.abovebar, color = openShortColor, style = label.style_label_down, textcolor = entryTextColor)
    entryBarIndex := bar_index

float prevEntryPrice    = strategy.closedtrades.entry_price (strategy.closedtrades - 1)
float pnl               = strategy.closedtrades.profit      (strategy.closedtrades - 1)
float prevExitPrice     = strategy.closedtrades.exit_price  (strategy.closedtrades - 1)

f_enteringTradeLabel(x, y, qty, entryPrice, slPrice, tpPrice, rrRatio, direction) => 
    if i_showLabels
        labelStr = ("Trade Start" 
              + "\nDirection: " + direction 
              + "\nRisk Per Trade: " + str.tostring (i_useRiskManangement ? i_riskPerTrade : 100, "#.##") + "%"  
              + "\nExpected Risk: " + str.tostring (math.abs((close-slPrice)/close) * 100, "#.##") + "%" 
              + "\nEntry Position Qty: " + str.tostring(math.abs(qty * 100), "#.##") + "%"
              + "\nEntry Price: " + str.tostring(entryPrice, "#.##"))
              + "\nStop Loss Price: " + str.tostring(slPrice, "#.##") 
              + "\nTake Profit Price: " + str.tostring(tpPrice, "#.##") 
              + "\nRisk - Reward Ratio: " + str.tostring(rrRatio, "#.##") 
        label.new(x = x, y = y, text = labelStr, color = color.new(color.blue, 60) , textcolor = color.white, style = label.style_label_up)


f_exitingTradeLabel(x, y, entryPrice, exitPrice, direction) => 
    if i_showLabels
        labelStr = ("Trade Result" 
              + "\nDirection: " + direction 
              + "\nEntry Price: " + str.tostring(entryPrice, "#.##") 
              + "\nExit Price: " + str.tostring(exitPrice,"#.##")
              + "\nGain %: " + str.tostring(direction == 'Long' ? -(entryPrice-exitPrice) / entryPrice * 100 : (entryPrice-exitPrice) / entryPrice * 100 ,"#.##") + "%")
        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)

f_fillCell(_table, _column, _row, _title, _value, _bgcolor, _txtcolor) =>
    _cellText = _title + " " + _value
    table.cell(_table, _column, _row, _cellText, bgcolor=_bgcolor, text_color=_txtcolor, text_size=size.auto)

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Orders
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░

if (inTime)
    if (openLong)
        qtyPercent        := f_calQtyPerc()
        entryQuantity     := f_calQty(qtyPercent)
        strategy.entry(id = "Long", direction = strategy.long, qty = entryQuantity, comment = 'Long(' + syminfo.ticker + '): Started', alert_message = 'Long(' + syminfo.ticker + '): Started')
        f_enteringTradeLabel(x = bar_index + 1, y = close-3*ta.tr, entryPrice = close, qty = qtyPercent, slPrice = longSLPrice, tpPrice = longTPPrice, rrRatio = i_RRratio, direction = "Long")

    if (openShort)
        qtyPercent        := f_calQtyPerc()
        entryQuantity     := f_calQty(qtyPercent)
        strategy.entry(id = "Short", direction = strategy.short, qty = entryQuantity, comment = 'Short(' + syminfo.ticker + '): Started', alert_message = 'Short(' + syminfo.ticker + '): Started')
        f_enteringTradeLabel(x = bar_index + 1, y = close-3*ta.tr, entryPrice = close, qty = qtyPercent, slPrice = shortSLPrice, tpPrice = shortTPPrice, rrRatio = i_RRratio, direction = "Short")

    if (closeLong)
        strategy.close(id = 'Long', comment = 'Close Long', alert_message = 'Long: Closed at market price')
        strategy.position_size > 0 ? f_exitingTradeLabel(x = bar_index, y = close+3*ta.tr, entryPrice = prevEntryPrice, exitPrice = prevExitPrice, direction = 'Long') : na

    if (closeShort)
        strategy.close(id = 'Short', comment = 'Close Short', alert_message = 'Short: Closed at market price')
        strategy.position_size < 0 ? f_exitingTradeLabel(x = bar_index, y = close+3*ta.tr, entryPrice = prevEntryPrice, exitPrice = prevExitPrice, direction = 'Short') : na

    if (inLong)
        strategy.exit(id = 'Long TP / SL', from_entry = 'Long', qty_percent = i_tpQuantityPerc, limit = longTPPrice, stop = longSLPrice, alert_message = 'Long(' + syminfo.ticker + '): Take Profit or Stop Loss executed')
        strategy.exit(id = 'Long SL', from_entry = 'Long', stop = longSLPrice, alert_message = 'Long(' + syminfo.ticker + '): Stop Loss executed')

    if (inShort)
        strategy.exit(id = 'Short TP / SL', from_entry = 'Short', qty_percent = i_tpQuantityPerc, limit = shortTPPrice, stop = shortSLPrice, alert_message = 'Short(' + syminfo.ticker + '): Take Profit or Stop Loss executed')
        strategy.exit(id = 'Short SL', from_entry = 'Short', stop = shortSLPrice, alert_message = 'Short(' + syminfo.ticker + '): Stop Loss executed')
    
    if strategy.position_size[1] > 0 and strategy.position_size == 0
        f_exitingTradeLabel(x = bar_index, y = close+3*ta.tr, entryPrice = prevEntryPrice, exitPrice = prevExitPrice, direction = 'Long')
    
    if strategy.position_size[1] < 0 and strategy.position_size == 0
        f_exitingTradeLabel(x = bar_index, y = close+3*ta.tr, entryPrice = prevEntryPrice, exitPrice = prevExitPrice, direction = 'Short')

// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░
//                      Backtest Result Dashboard
// ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░

if i_showDashboard
    var bgcolor = color.new(color = color.black, transp = 100)
    var greenColor = color.new(color = #02732A, transp = 0)
    var redColor = color.new(color = #D92332, transp = 0)
    var yellowColor = color.new(color = #F2E313, transp = 0)
    // Keep track of Wins/Losses streaks
    newWin  = (strategy.wintrades  > strategy.wintrades[1]) and (strategy.losstrades == strategy.losstrades[1]) and (strategy.eventrades == strategy.eventrades[1])
    newLoss = (strategy.wintrades == strategy.wintrades[1]) and (strategy.losstrades  > strategy.losstrades[1]) and (strategy.eventrades == strategy.eventrades[1])

    varip int winRow     = 0
    varip int lossRow    = 0
    varip int maxWinRow  = 0
    varip int maxLossRow = 0

    if newWin
        lossRow := 0
        winRow := winRow + 1
    if winRow > maxWinRow
        maxWinRow := winRow
        
    if newLoss
        winRow := 0
        lossRow := lossRow + 1
    if lossRow > maxLossRow
        maxLossRow := lossRow


    // Prepare stats table
    var table dashTable = table.new(position.top_right, 1, 15, border_width=1)
    
   
    if barstate.islastconfirmedhistory
        dollarReturn = strategy.netprofit
        f_fillCell(dashTable, 0, 0, "Start:", str.format("{0,date,long}", strategy.closedtrades.entry_time(0)) , bgcolor, color.white) // + str.format(" {0,time,HH:mm}", strategy.closedtrades.entry_time(0)) 
        f_fillCell(dashTable, 0, 1, "End:", str.format("{0,date,long}", strategy.opentrades.entry_time(0)) , bgcolor, color.white) // + str.format(" {0,time,HH:mm}", strategy.opentrades.entry_time(0))
        _profit = (strategy.netprofit / strategy.initial_capital) * 100
        f_fillCell(dashTable, 0, 2, "Net Profit:", str.tostring(_profit, '##.##') + "%", _profit > 0 ? greenColor : redColor, color.white)
        _numOfDaysInStrategy = (strategy.opentrades.entry_time(0) - strategy.closedtrades.entry_time(0)) / (1000 * 3600 * 24)
        f_fillCell(dashTable, 0, 3, "Percent Per Day", str.tostring(_profit / _numOfDaysInStrategy, '#########################.#####')+"%", _profit > 0 ? greenColor : redColor, color.white)
        _winRate = ( strategy.wintrades / strategy.closedtrades ) * 100
        f_fillCell(dashTable, 0, 4, "Percent Profitable:", str.tostring(_winRate, '##.##') + "%", _winRate < 50 ? redColor : _winRate < 75 ? greenColor : yellowColor, color.white)
        f_fillCell(dashTable, 0, 5, "Profit Factor:", str.tostring(strategy.grossprofit / strategy.grossloss,  '##.###'), strategy.grossprofit > strategy.grossloss ? greenColor : redColor, color.white)
        f_fillCell(dashTable, 0, 6, "Total Trades:", str.tostring(strategy.closedtrades), bgcolor, color.white)
        f_fillCell(dashTable, 0, 8, "Max Wins In A Row:", str.tostring(maxWinRow, '######') , bgcolor, color.white)
        f_fillCell(dashTable, 0, 9, "Max Losses In A Row:", str.tostring(maxLossRow, '######') , bgcolor, color.white)

もっと