Kombination der beiden EMA- und RSI-Trendverfolgungsstrategien

Schriftsteller:ChaoZhang, Datum: 2024-01-18 15:51:06
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Übersicht

Diese Strategie kombiniert die Verwendung von dualen EMA- und RSI-Indikatoren, um Preistrends zu identifizieren und rechtzeitig Positionen einzunehmen, wenn Trendumkehrungen auftreten. Insbesondere verwendet die Strategie eine längere Zyklus-EMA, um die Haupttrendrichtung zu beurteilen, während sie den RSI-Indikator verwendet, um kurzfristige Überkauf- und Überverkaufszustände zu bestimmen. Sie erzeugt Handelssignale über den RSI-Indikator, wenn die Preise entsprechend für lange oder kurze Einträge in die Haupttrendrichtung zurückziehen.

Strategie Logik

  1. Bei einem Kursüberschreiten über die EMA-Linie wird eine bullische Ansicht signalisiert, während ein Preisüberschreiten unterhalb einer bullischen Ansicht signalisiert wird.

  2. RSI-Indikator-Parameter auf 10 Perioden gesetzt.

  3. Wenn der Haupttrend steigt (Preis über der EMA-Linie) und das RSI unter 40 Überverkaufssignal überschreitet, gehen Sie lang.

  4. Wenn der Haupttrend nach unten ist (Preis unterhalb der EMA-Linie) und der RSI über 60 überkauftes Signal überschreitet, gehen Sie kurz.

  5. Stop-Loss auf das Vierfache des ATR-Indikators gesetzt.

Analyse der Vorteile

Der größte Vorteil dieser Strategie ist die Kombination von Trend- und Umkehrindikatoren, die rechtzeitige Einträge ermöglichen, wenn Rückschläge innerhalb von Trends auftreten, wodurch eine bessere Leistung erzielt werden kann.

  1. Verwendung eines doppelten EMA-Systems zur Bestimmung der primären Trendrichtung für eine effektive Trendverfolgung.

  2. Der RSI-Indikator identifiziert kurzfristige Überkauf-/Überverkaufszustände und unterstützt den Eintrittszeitplan.

  3. Der durch den ATR-Indikator eingestellte Stop-Loss passt sich der Volatilität des Marktes an, um die Risiken besser zu kontrollieren.

  4. Die strikte Befolgung der Trendhandelsprinzipien verringert unnötige Trades und das Systemrisiko.

Risikoanalyse

Zu den wichtigsten Risiken dieser Strategie gehören:

  1. Falsche Handelssignale können auftreten, wenn der Trend schwächer wird und die Preise schwanken.

  2. Bei extremen Marktbedingungen kann der durch den ATR eingestellte Stop-Loss zu breit oder zu eng sein.

  3. Eine potentiell hohe Signalfrequenz erfordert eine entsprechende persönliche Handelsfrequenzpräferenz.

  4. Die Angemessenheit der RSI-Parameter muss zur rechtzeitigen Optimierung überwacht werden.

Optimierungsrichtlinien

Zu den wichtigsten Optimierungsrichtungen gehören:

  1. Testen Sie, indem Sie andere Trendindikatoren wie MACD hinzufügen, um die Trendbeurteilung zu unterstützen.

  2. Test kombinieren RSI mit anderen Umkehrindikatoren wie KDJ, Bollinger Bands für bessere Signale.

  3. Einführung von Algorithmen für maschinelles Lernen für dynamische Parameteranpassungen und adaptive Stop-Loss-/Profit-Aufnahme.

  4. Fügen Sie mehr Faktoren wie Stimmungen, Nachrichten für eine höhere Systemrobustheit ein.

Schlussfolgerung

Insgesamt handelt es sich um eine sehr typische kurzfristige Strategie, die Trendverfolgung und Umkehrindikatoren kombiniert. Sie beurteilt den Haupttrend mit doppelter EMA und erfasst Pullback-Möglichkeiten innerhalb von Trends unter Verwendung der Umkehrmerkmale des RSI. Grundsätzlich kombiniert diese Strategie die Stärken verschiedener Indikatoren für sehr gute komplementäre Effekte. Weitere Verbesserungen bei Parameteroptimierung, Modellfusion usw. können ihre Leistung erheblich verbessern.


/*backtest
start: 2024-01-10 00:00:00
end: 2024-01-14 13:00:00
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/
// © kevinmck100

// @description
// This strategy is intended to be used as a base template for building new strategies.
//
// It incorporates the following features:
//
//      - Risk management:  Configurable X% loss per stop loss
//                          Configurable R:R ratio
//
//      - Trade entry:      Calculated position size based on risk tolerance
//
//      - Trade exit:       Stop Loss currently configurable ATR multiplier but can be replaced based on strategy
//                          Take Profit calculated from Stop Loss using R:R ratio
//
//      - Backtesting:      Configurable backtesting range by date
//
//      - Trade drawings:   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
//
//      - Debugging:        Includes section with useful debugging techniques
//
// Strategy conditions:
//
//      - Trade entry:      LONG:   C1: Price is above EMA line
//                                  C2: RSI is crossing out of oversold area
//                          SHORT:  C1: Price is below EMA line
//                                  C2: RSI is crossing out of overbought area
//
//      - Trade exit:       Stop Loss:      Stop Loss ATR multiplier is hit
//                          Take Profit:    R:R multiplier * Stop Loss is hit
//
// The idea is to use RSI to catch pullbacks within the main trend. Note that
// this strategy is intended to be a simple base strategy for building upon.
// It was not designed to be traded in its current form.

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

strategy("Risk Management Strategy Template", "Strategy Template", 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
// =============================================================================

// ------------------------ Replacable section - Start -------------------------
// ------------------
// Indicator Settings
// ------------------
emaLength           = input.int (200,   "EMA Length          ",             group = "Indicators: Settings",         inline = "IS1", minval = 1,                 tooltip = "EMA line to identify trend direction. Above EMA trend line is bullish. Below EMA trend line is bearish")
rsiLength           = input.int (10,    "RSI Length            ",           group = "Indicators: Settings",         inline = "IS2", minval = 1)

// ----------------------
// Trade Entry Conditions
// ----------------------
rsiOverbought       = input.int (60,    "RSI Overbought        ",           group = "Strategy: Conditions",         inline = "SC1", minval = 50, maxval = 100,  tooltip = "RSI overbought level used to identify pullbacks within the main trend. RSI crossing BELOW this level triggers a SHORT when in a DOWN trend")
rsiOversold         = input.int (40,    "RSI Oversold          ",           group = "Strategy: Conditions",         inline = "SC2", minval = 0,  maxval = 50,   tooltip = "RSI overbought level used to identify pullbacks within the main trend. RSI crossing ABOVE this level triggers a LONG when in an UP trend")

// ---------------------
// Trade Exit Conditions
// ---------------------
atrLength           = input.int  (14,   "Stop Loss ATR Length      ",       group = "Strategy: Exit Conditions",    inline = "EC1", minval = 0,                 tooltip = "Length of ATR used to calculate Stop Loss.")
slAtrMultiplier     = input.float(4,    "Stop Loss ATR Multiplier     ",    group = "Strategy: Exit Conditions",    inline = "EC2", 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.")
// ------------------------- Replacable section - End --------------------------

// ---------------
// Risk Management
// ---------------
riskReward          = input.float(2,    "Risk : Reward        1 :",         group = "Strategy: Risk Management",    inline = "RM1", minval = 0, step = 0.1,     tooltip = "Previous high or low (long/short dependant) is used to determine TP level. 'Risk : Reward' ratio is then used to calculate SL based of previous high/low level.\n\nIn short, the higher the R:R ratio, the smaller the SL since TP target is fixed by previous high/low price data.")
accountRiskPercent  = input.float(1,    "Portfolio Risk %         ",        group = "Strategy: Risk Management",    inline = "RM1", 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])

// ----------------
// Drawing Settings
// ----------------
showTpSlBoxes       = input.bool(false,  "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.")

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

// ------------------------ Replacable section - Start -------------------------
// ---
// EMA
// ---
ema = ta.ema(close, emaLength)
plot(ema, "EMA Trend Line", color.white)

// ---
// RSI
// ---
rsi = ta.rsi(close, rsiLength)
// ------------------------- Replacable section - End --------------------------


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

// ---------
// 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)

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

inDateRange         = time >= timestamp(syminfo.timezone, startYear, startMonth, startDate, 0, 0) and time < timestamp(syminfo.timezone, endYear, endMonth, endDate, 0, 0)

// ------------------------ Replacable section - Start -------------------------
// Condition 1: Price above EMA indicates bullish trend, price below EMA indicates bearish trend
bullEma             = close > ema
bearEma             = close < ema

// Condition 2: RSI crossing back from overbought/oversold indicates pullback within trend
bullRsi             = ta.crossover  (rsi, rsiOversold)
bearRsi             = ta.crossunder (rsi, rsiOverbought)

// Combine all entry conditions
goLong              = inDateRange and bullEma and bullRsi
goShort             = inDateRange and bearEma and bearRsi
// ------------------------- Replacable section - End --------------------------

// 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

// 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

// ------------------------ Replacable section - Start -------------------------
// Exit calculations
atr                 = ta.atr(atrLength)
slAmount            = atr * slAtrMultiplier
slPercent           = math.abs((1 - (close - slAmount) / close) * 100)
tpPercent           = slPercent * riskReward
// ------------------------- Replacable section - End --------------------------

// 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

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

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(slPrice,    "Stop Loss Price",     "")
plotchar(tpPrice,    "Take Profit Price",   "")

// Label plots
plotDebugLabels = false
if plotDebugLabels
    if bar_index == tradeEntryBar 
        printLabel(bar_index, "Position size: " + str.tostring(entryQty * close, "#.##"))


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