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Strategi Perdagangan Stop Loss Pengesanan Supertrend Stochastic

Penulis:ChaoZhang
Tag:

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Ringkasan

Logika Strategi

Kelebihan

Risiko

Di samping itu, walaupun ATR stop loss boleh menyesuaikan tahap berhenti berdasarkan turun naik, ia tidak dapat sepenuhnya mengelakkan kebarangkalian stop loss yang menembusi.

Pengoptimuman

Strategi ini boleh dioptimumkan dalam aspek berikut:

Kesimpulan

/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-24 00:00:00
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/
// © araamas

//@version=5
strategy("stoch supertrd atr 200ma", overlay=true, process_orders_on_close=true)
var B = 0
if strategy.position_size > 0 //to figure out how many bars away did buy order happen
    B += 1 

if strategy.position_size == 0
    B := 0
    
atrPeriod = input(10, "ATR Length")
factor = input.float(3.0, "Factor", step = 0.01)

[supertrend, direction] = ta.supertrend(factor, atrPeriod)

bodyMiddle = plot((open + close) / 2, display=display.none)
upTrend = plot(direction < 0 ? supertrend : na, "Up Trend", color = color.green, style=plot.style_linebr)
downTrend = plot(direction < 0? na : supertrend, "Down Trend", color = color.red, style=plot.style_linebr)

ema = ta.ema(close, 200)
plot(ema, title="200 ema", color=color.yellow)

b = input.int(defval=14, title="length k%")
d = input.int(defval=3, title="smoothing k%")
s = input.int(defval=3, title="smoothing d%")
smooth_k = ta.sma(ta.stoch(close, high, low, b), d)
smooth_d = ta.sma(smooth_k, s)

////////////////////////////////////////////////////////////////////////////////
length = input.int(title="Length", defval=12, minval=1)
smoothing = input.string(title="Smoothing", defval="SMA", options=["RMA", "SMA", "EMA", "WMA"])
m = input(1.5, "Multiplier")
src1 = input(high)
src2 = input(low)
pline = input(true, "Show Price Lines")
col1 = input(color.blue, "ATR Text Color")
col2 = input(color.teal, "Low Text Color",inline ="1")
col3 = input(color.red, "High Text Color",inline ="2")

collong = input(color.teal, "Low Line Color",inline ="1")
colshort = input(color.red, "High Line Color",inline ="2")

ma_function(source, length) =>
	if smoothing == "RMA"
		ta.rma(source, length)
	else
		if smoothing == "SMA"
			ta.sma(source, length)
		else
			if smoothing == "EMA"
				ta.ema(source, length)
			else
				ta.wma(source, length)
				
a = ma_function(ta.tr(true), length) * m
x = ma_function(ta.tr(true), length) * m + src1
x2 = src2 - ma_function(ta.tr(true), length) * m

p1 = plot(x, title = "ATR Short Stop Loss", color=color.blue)
p2 = plot(x2, title = "ATR Long Stop Loss", color= color.blue)


///////////////////////////////////////////////////////////////////////////////////////////////

shortCondition = high < ema and direction == 1 and smooth_k > 80
if (shortCondition) and strategy.position_size == 0
    strategy.entry("sell", strategy.short)

longCondition = low > ema and direction == -1 and smooth_k < 20
if (longCondition) and strategy.position_size == 0
    strategy.entry("buy", strategy.long)
    
g = (strategy.opentrades.entry_price(0)-x2) * 2
k = (x - strategy.opentrades.entry_price(0)) * 2

if strategy.position_size > 0
    strategy.exit(id="buy exit", from_entry="buy",limit=strategy.opentrades.entry_price(0) + g, stop=x2) 

if strategy.position_size < 0
    strategy.exit(id="sell exit", from_entry="sell",limit=strategy.opentrades.entry_price(0) - k, stop=x) 
    
//plot(strategy.opentrades.entry_price(0) - k, color=color.yellow)
//plot(strategy.opentrades.entry_price(0) + g, color=color.red)
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