
Strategi ini berasaskan kepada indikator pergerakan yang lancar untuk mengenal pasti trend harga dan menggunakan kaedah trend-tracking untuk berdagang. Apabila harga melanggar garis petunjuk, lakukan overhead, dan apabila harga jatuh dari garis petunjuk, lakukan short head.
Strategi ini menggunakan penunjuk goyang rata yang disesuaikan untuk mengenal pasti trend harga. Penunjuk itu mengira harga putaran balik pada garis K semasa, iaitu harga teoretis yang dapat membalikkan kerugian dan warna grafik trajektori. Kemudian, harga putaran balik itu diproses secara halus, dan menghasilkan garis penunjuk goyang rata akhir.
Strategi menggunakan garis penunjuk yang pecah sebagai isyarat untuk meletakkan kedudukan. Berbuat lebih banyak apabila harga melanggar garis penunjuk dan kosong apabila harga jatuh ke bawah garis penunjuk.
Strategi ini mempunyai pemikiran keseluruhan yang jelas, menggunakan indikator tersuai untuk mengenal pasti trend dan berdagang dengan cara mengikuti trend. Dari hasil pengkajian semula, strategi ini berkinerja baik dan mempunyai potensi untuk digunakan di pasaran. Tetapi hanya bergantung pada satu indikator dan terdapat pengulangan tertentu, kualiti isyarat masih belum disahkan.
/*backtest
start: 2023-12-19 00:00:00
end: 2023-12-26 00:00:00
period: 10m
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/
// © TraderHalai
// This is a backtest of the Smoothed Heikin Ashi Trend indicator, which computes the reverse candle close price required to flip a heikin ashi trend from red to green and vice versa. Original indicator can be found on the scripts section of my profile.
// Default testing parameters are 10% of equity position size, with a 1% stop loss on short and long strategy.opentrades.commission
// This particular back test uses this indicator as a Trend trading tool with a tight stop loss. The equity curve as tested seems promising but requires further work to refine. Note in an actual trading setup, you may wish to use this with volatilty filters as most of the losses are in sideways, low volatility markets.
//@version=5
strategy("Smoothed Heikin Ashi Trend on Chart - TraderHalai BACKTEST", " SHA Trend - BACKTEST", overlay=true)
//Inputs
i_useSmooth = input ( true, "Use smoothing Heikin Ashi")
i_smoothingMethod = input.string("SMA", "Method", options=["SMA", "EMA", "HMA", "VWMA", "RMA"])
i_smoothingPeriod = input ( 10, "Smoothing period")
i_infoBox = input ( true, "Show Info Box" )
i_decimalP = input ( 2, "Prices Decimal Places")
i_boxOffSet = input ( 5, "Info Box Offset" )
i_repaint = input (false, "Repaint - Keep on for live / Off for backtest")
i_longLossPerc = input.float(title="Long Stop Loss (%)",minval=0.0, step=0.1, defval=1) * 0.01
i_shortLossPerc = input.float(title="Short Stop Loss (%)", minval=0.0, step=0.1, defval=1) * 0.01
timeperiod = timeframe.period
//Security functions to avoid repaint, as per PineCoders
f_secureSecurity(_symbol, _res, _src) => request.security(_symbol, _res, _src[1], lookahead = barmerge.lookahead_on)
f_security(_symbol, _res, _src, _repaint) => request.security(_symbol, _res, _src[_repaint ? 0 : barstate.isrealtime ? 1 : 0])[_repaint ? 0 : barstate.isrealtime ? 0 : 1]
f_secSecurity2(_symbol, _res, _src) => request.security(_symbol, _res, _src[1])
candleClose = f_security(syminfo.tickerid, timeperiod, close, i_repaint)
candleOpen = f_security(syminfo.tickerid, timeperiod, open, i_repaint)
candleLow = f_security(syminfo.tickerid, timeperiod, low, i_repaint)
candleHigh = f_security(syminfo.tickerid, timeperiod, high, i_repaint)
haTicker = ticker.heikinashi(syminfo.tickerid)
haClose = f_security(haTicker, timeperiod, close, i_repaint)
haOpen = f_security(haTicker, timeperiod, open, i_repaint)
haLow = f_security(haTicker, timeperiod, low, i_repaint)
haHigh= f_security(haTicker, timeperiod, high, i_repaint)
reverseClose = (2 * (haOpen[1] + haClose[1])) - candleHigh - candleLow - candleOpen
if(reverseClose < candleLow)
reverseClose := (candleLow + reverseClose) / 2
if(reverseClose > candleHigh)
reverseClose := (candleHigh + reverseClose) / 2
//Smoothing
smaSmoothed = ta.sma(reverseClose, i_smoothingPeriod)
emaSmoothed = ta.ema(reverseClose, i_smoothingPeriod)
hmaSmoothed = ta.hma(reverseClose, i_smoothingPeriod)
vwmaSmoothed = ta.vwma(reverseClose, i_smoothingPeriod)
rmaSmoothed = ta.rma(reverseClose, i_smoothingPeriod)
shouldApplySmoothing = i_useSmooth and i_smoothingPeriod > 1
smoothedReverseClose = reverseClose
if(shouldApplySmoothing)
if(i_smoothingMethod == "SMA")
smoothedReverseClose := smaSmoothed
else if(i_smoothingMethod == "EMA")
smoothedReverseClose := emaSmoothed
else if(i_smoothingMethod == "HMA")
smoothedReverseClose := hmaSmoothed
else if(i_smoothingMethod == "VWMA")
smoothedReverseClose := vwmaSmoothed
else if(i_smoothingMethod == "RMA")
smoothedReverseClose := rmaSmoothed
else
smoothedReverseClose := reverseClose // Default to non-smoothed for invalid smoothing type
haBull = candleClose >= smoothedReverseClose
haCol = haBull ? color.green : color.red
//Overall trading strategy
if(ta.crossover(candleClose, smoothedReverseClose))
strategy.entry("LONG", strategy.long, stop=smoothedReverseClose)
else
strategy.cancel("LONG")
if(ta.crossunder(candleClose, smoothedReverseClose))
strategy.entry("SHORT", strategy.short, stop=smoothedReverseClose)
else
strategy.cancel("SHORT")
longStopPrice = strategy.position_avg_price * (1 - i_longLossPerc)
shortStopPrice = strategy.position_avg_price * (1 + i_shortLossPerc)
plot(series=(strategy.position_size > 0) ? longStopPrice : na,
color=color.red, style=plot.style_cross,
linewidth=2, title="Long Stop Loss")
plot(series=(strategy.position_size < 0) ? shortStopPrice : na,
color=color.red, style=plot.style_cross,
linewidth=2, title="Short Stop Loss")
plot(smoothedReverseClose, color=haCol)
if (strategy.position_size > 0)
strategy.exit(id="XL STP", stop=longStopPrice)
if (strategy.position_size < 0)
strategy.exit(id="XS STP", stop=shortStopPrice)