Handelsstrategie für die stündliche Schwankung

Schriftsteller:ChaoZhang, Datum: 2023-09-20 16:50:27
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Übersicht

Diese Strategie richtet sich an SPY, um stündliche Schwankungen für kurzfristige Umkehrungen zu handeln.

Strategie Logik

  1. Die 5-Tage- und 13-Tage-MA-Crossovers bestimmen die stündlichen Preisumkehrungen.

  2. Die RSI-Werte sind für den Verkauf von Markthandels- und Markthandelssymbolen von mehr als 50 zu ermitteln.

  3. Ein 13-Tage-MA-Crossover unter dem 5-Tage-MA und ein MACD-Linienkrossover unter der Signallinie erzeugen Verkaufssignale.

  4. Es werden Stop-Loss- und Take-Profit-Linien festgelegt, wobei ein Teilgewinn bei 2x Ziel erreicht wird.

  5. Option zum Short-Side-Handel nach Abschluss der laufenden Runde.

  6. Anpassungsfähige Parameter wie MA-Perioden, Stop/Profit-Verhältnisse usw.

Vorteile

  1. Erfasst kurzfristige Trades aus stündlichen Kursänderungen.

  2. Eine Kombination von mehreren Anzeigen verbessert die Signalgenauigkeit.

  3. Stopp- und Profit-Setups helfen beim Risikomanagement.

  4. Teilweise Gewinne helfen, Gewinne zu erzielen.

  5. Anpassbare Parameter eignen sich für kurzfristige Händler.

Risiken

  1. Stündliche Schwankungen können zu falschen Signalen und Verlusten führen.

  2. Unzulässige Stop/Profit-Verhältnisse führen zu einem vorzeitigen Ausstieg oder zu einem Rückzug.

  3. Parameter müssen für einige Symbole optimiert werden.

  4. Die Optimierung birgt die Gefahr einer Überanpassung.

  5. Eine hohe Handelsfrequenz erhöht die Transaktionskosten.

Erweiterung

  1. Versuche Parameterkombinationen, um das Optimum zu finden.

  2. Beurteilen Sie zusätzliche Indikatoren, um Signale zu bestätigen.

  3. Optimierung von Stopps und Zielen für die Balance zwischen Risiko und Rendite.

  4. Hinzufügen eines Trendfilters, um gegentrendige Trades zu vermeiden.

  5. Erleichterung der Gewinnbedingungen für erweiterte Gewinne.

  6. Bewertung anderer geeigneter Symbole für die Strategie.

Schlussfolgerung

Diese Strategie zielt darauf ab, kurzfristige Stundenchancen von SPY zu erfassen.


//@version=5
strategy(title="SPY 1 Hour Swing Trader", initial_capital=300000, default_qty_type=strategy.percent_of_equity, default_qty_value=15, pyramiding=0, commission_type=strategy.commission.cash_per_order, commission_value=0, overlay=true, calc_on_every_tick=false, process_orders_on_close=true, max_labels_count=500)

//The purpose of this script is to spot 1 hour pivots that indicate ~5 to 6 trading day swings.
//Results indicate that swings are held approximately 5 to 6 trading days on average, over the last 6 years.
//This indicator spots a go long opportunity when the 5 ema crosses the 13 ema on the 1 hour along with the RSI > 50.
//It also spots uses a couple different means to determine when to exit the trade. Sell condition is 
//primarily when the 13 ema crosses the 5 ema and the MACD line crosses below the signal line and
//the smoothed Stoichastic appears oversold (greater than 60). Stop Losses and Take Profits are configurable
//in Inputs along with ability to include short trades plus other MACD and Stoichastic settings.
//If a stop loss is encountered the trade will close. Also once twice the expected move is encountered
//partial profits will taken and stop losses and take profits will be re-established based on most recent close
//Once long trades are exited, short trades will be initiated if recent conditions appeared oversold and
//input option for short trading is enabled. If trying to use this for something other than SPXL it is best
//to update stop losses and take profit percentages and check backtest results to ensure proper levels have
//been selected and the script gives satisfactory results.

// Initialize variables
var float long_entry_price = na
var float short_entry_price = na
var float stop_loss = na
var float take_profit = na
var float twoxtake_profit = na
var float short_stop_loss = na
var float short_take_profit = na
var float short_twoxtake_profit = na
var int startshort = 0

// Inputs
short = input.bool(true, "Include Short Trades!")
option_SL_P = input.float(0.02, "Input Stop Loss Percentage (0.02 = 2%)")
option_TP_P = input.float(0.03, "Input Take Profit Percentage (0.03 = 3%)")
pp = input.int(50, "Partial Profit Percentage in whole numbers (50 is 50%)")
ema5 = input.int(5, "Fast EMA Period", minval=1)
ema13 = input.int(13, "Slow EMA Period", minval=1)
rsi_length = input.int(14, "RSI Length", minval=1)
macd_fast_length = input.int(8, "MACD Fast Length", minval=1)
macd_slow_length = input.int(21, "MACD Slow Length", minval=1)
macd_signal_length = input.int(5, "MACD Signal Length", minval=1)
len = input.int(14, title="ADX Length", minval=1)
length = input.int(14, "Stochastic Length")
smoothK = input.int(3, "Stoicastic Smooth K")
src = input(close, "Stoicastic Source")

// Calculating EMA 
ema_13 = ta.ema(close, ema13)
ema_5 = ta.ema(close, ema5)

// Calculate RSI
rsi = ta.rsi(close, rsi_length)
smooth_rsi = ta.ema(rsi, 5)

// Calculate MACD
[macd_line, signal_line, _] = ta.macd(close, macd_fast_length, macd_slow_length, macd_signal_length)

// Calculate the True Range
tr = ta.tr(true)

// Calculate slope of MACD line
rsiSlope = (smooth_rsi - smooth_rsi[3]) / (bar_index - bar_index[3])

// Calculate the Directional Movement
up = ta.change(high)
down = -ta.change(low)
plusDM = na(up) ? na : (up > down and up > 0 ? up : 0)
minusDM = na(down) ? na : (down > up and down > 0 ? down : 0)

// Calculate the Smoothed Directional Movement
plusDI = 100 * ta.ema(plusDM, len) / ta.ema(tr, len)
minusDI = 100 * ta.ema(minusDM, len) / ta.ema(tr, len)

// Calculate the Directional Index (DX)
DX = 100 * math.abs(plusDI - minusDI) / (plusDI + minusDI)

// Calculate the ADX
adx = ta.ema(DX, len)

//Stochastic Calculation
highestHigh = ta.highest(src, length)
lowestLow = ta.lowest(src, length)
k = 100 * ((src - lowestLow) / (highestHigh - lowestLow))
d = ta.sma(k, smoothK)

// Determine current VIX
vixClose = request.security("VIX", timeframe.period, close[3])
//plot(vixClose, title="VIX Close", color=color.red)

// Buy and Sell Conditions
buy_condition = ta.crossover(ema_5 , ema_13) and rsi > 50
sell_condition = ema_13 > ema_5 and macd_line < signal_line and (d > 60)

// Plotting indicators
plot(ema_13, color=color.orange, title="Slow EMA Period")
plot(ema_5, color=color.blue, title="Fast EMA Period")

// Executing trades
if buy_condition and strategy.position_size == 0 and barstate.isconfirmed
    strategy.entry("Pivot Up", strategy.long, alert_message = "Pivoting Up")
    long_entry_price := close
    stop_loss := long_entry_price - (option_SL_P * close)
    take_profit := long_entry_price + (option_TP_P * close)
    twoxtake_profit := long_entry_price + (2 * option_TP_P * close)

if strategy.position_size > 0 and barstate.isconfirmed
    if close < stop_loss and barstate.isconfirmed
        strategy.close("Pivot Up", "Exit Longs Stopped")
        if short == 1 
            startshort := 1
    else if sell_condition and barstate.isconfirmed
        if short == 1
            startshort := 1
        strategy.close("Pivot Up", "Exit Longs Sell Condition Met")
    else if close >= twoxtake_profit and barstate.isconfirmed
        stop_loss := close - (.5*option_TP_P*close)
        take_profit := close + (.5*option_TP_P*close)
        strategy.exit("Exit Partial Longs", "Pivot Up", stop=stop_loss, limit = take_profit, qty_percent = pp)

if startshort == 1
    if (d[6] > 80) and barstate.isconfirmed
        strategy.entry("Pivot Down", strategy.short, alert_message = "Pivoting Down")
        short_entry_price := close
        short_stop_loss := short_entry_price + (option_SL_P * close)
        short_take_profit := short_entry_price - (option_TP_P * close)
        short_twoxtake_profit := short_entry_price - (2 * option_TP_P * close)
        startshort := 0
    else
        startshort := 0

if strategy.position_size < 0 and barstate.isconfirmed
    if close > short_stop_loss and barstate.isconfirmed
        strategy.close("Pivot Down", "Exit Shorts Stopped")
    else if close <= short_twoxtake_profit and barstate.isconfirmed
        short_stop_loss := close + (.5*option_TP_P*close)
        short_take_profit := close - (.5*option_TP_P*close)
        strategy.exit("Exit Partial Shorts", "Pivot Down", stop=short_stop_loss, limit = short_take_profit, qty_percent = pp)

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