
Cette stratégie est une stratégie bidirectionnelle de suivi des fluctuations de la fourchette de la fourchette de la fourchette. Elle utilise le filtre de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette de la fourchette.
La prévention des risques:
/*backtest
start: 2023-01-17 00:00:00
end: 2024-01-23 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
strategy("Range Filter [DW] & Labels", shorttitle="RF [DW] & Labels", overlay=true)
//Conditional Sampling EMA Function
Cond_EMA(x, cond, n)=>
var val = array.new_float(0)
var ema_val = array.new_float(1)
if cond
array.push(val, x)
if array.size(val) > 1
array.remove(val, 0)
if na(array.get(ema_val, 0))
array.fill(ema_val, array.get(val, 0))
array.set(ema_val, 0, (array.get(val, 0) - array.get(ema_val, 0))*(2/(n + 1)) + array.get(ema_val, 0))
EMA = array.get(ema_val, 0)
EMA
//Conditional Sampling SMA Function
Cond_SMA(x, cond, n)=>
var vals = array.new_float(0)
if cond
array.push(vals, x)
if array.size(vals) > n
array.remove(vals, 0)
SMA = array.avg(vals)
SMA
//Standard Deviation Function
Stdev(x, n)=>
sqrt(Cond_SMA(pow(x, 2), 1, n) - pow(Cond_SMA(x, 1, n), 2))
//Range Size Function
rng_size(x, scale, qty, n)=>
ATR = Cond_EMA(tr(true), 1, n)
AC = Cond_EMA(abs(x - x[1]), 1, n)
SD = Stdev(x, n)
rng_size = scale=="Pips" ? qty*0.0001 : scale=="Points" ? qty*syminfo.pointvalue : scale=="% of Price" ? close*qty/100 : scale=="ATR" ? qty*ATR :
scale=="Average Change" ? qty*AC : scale=="Standard Deviation" ? qty*SD : scale=="Ticks" ? qty*syminfo.mintick : qty
//Two Type Range Filter Function
rng_filt(h, l, rng_, n, type, smooth, sn, av_rf, av_n)=>
rng_smooth = Cond_EMA(rng_, 1, sn)
r = smooth ? rng_smooth : rng_
var rfilt = array.new_float(2, (h + l)/2)
array.set(rfilt, 1, array.get(rfilt, 0))
if type=="Type 1"
if h - r > array.get(rfilt, 1)
array.set(rfilt, 0, h - r)
if l + r < array.get(rfilt, 1)
array.set(rfilt, 0, l + r)
if type=="Type 2"
if h >= array.get(rfilt, 1) + r
array.set(rfilt, 0, array.get(rfilt, 1) + floor(abs(h - array.get(rfilt, 1))/r)*r)
if l <= array.get(rfilt, 1) - r
array.set(rfilt, 0, array.get(rfilt, 1) - floor(abs(l - array.get(rfilt, 1))/r)*r)
rng_filt1 = array.get(rfilt, 0)
hi_band1 = rng_filt1 + r
lo_band1 = rng_filt1 - r
rng_filt2 = Cond_EMA(rng_filt1, rng_filt1 != rng_filt1[1], av_n)
hi_band2 = Cond_EMA(hi_band1, rng_filt1 != rng_filt1[1], av_n)
lo_band2 = Cond_EMA(lo_band1, rng_filt1 != rng_filt1[1], av_n)
rng_filt = av_rf ? rng_filt2 : rng_filt1
hi_band = av_rf ? hi_band2 : hi_band1
lo_band = av_rf ? lo_band2 : lo_band1
[hi_band, lo_band, rng_filt]
//-----------------------------------------------------------------------------------------------------------------------------------------------------------------
//Inputs
//-----------------------------------------------------------------------------------------------------------------------------------------------------------------
//Filter Type
f_type = input(defval="Type 1", options=["Type 1", "Type 2"], title="Filter Type")
//Movement Source
mov_src = input(defval="Close", options=["Wicks", "Close"], title="Movement Source")
//Range Size Inputs
rng_qty = input(defval=2.618, minval=0.0000001, title="Range Size")
rng_scale = input(defval="Average Change", options=["Points", "Pips", "Ticks", "% of Price", "ATR", "Average Change", "Standard Deviation", "Absolute"], title="Range Scale")
//Range Period
rng_per = input(defval=14, minval=1, title="Range Period (for ATR, Average Change, and Standard Deviation)")
//Range Smoothing Inputs
smooth_range = input(defval=true, title="Smooth Range")
smooth_per = input(defval=27, minval=1, title="Smoothing Period")
//Filter Value Averaging Inputs
av_vals = input(defval=true, title="Average Filter Changes")
av_samples = input(defval=2, minval=1, title="Number Of Changes To Average")
//-----------------------------------------------------------------------------------------------------------------------------------------------------------------
//Definitions
//-----------------------------------------------------------------------------------------------------------------------------------------------------------------
//High And Low Values
h_val = mov_src=="Wicks" ? high : close
l_val = mov_src=="Wicks" ? low : close
//Range Filter Values
[h_band, l_band, filt] = rng_filt(h_val, l_val, rng_size((h_val + l_val)/2, rng_scale, rng_qty, rng_per), rng_per, f_type, smooth_range, smooth_per, av_vals, av_samples)
//Direction Conditions
var fdir = 0.0
fdir := filt > filt[1] ? 1 : filt < filt[1] ? -1 : fdir
upward = fdir==1 ? 1 : 0
downward = fdir==-1 ? 1 : 0
//Colors
filt_color = upward ? #05ff9b : downward ? #ff0583 : #cccccc
bar_color = upward and (close > filt) ? (close > close[1] ? #05ff9b : #00b36b) :
downward and (close < filt) ? (close < close[1] ? #ff0583 : #b8005d) : #cccccc
//-----------------------------------------------------------------------------------------------------------------------------------------------------------------
//Outputs
//-----------------------------------------------------------------------------------------------------------------------------------------------------------------
//Filter Plot
filt_plot = plot(filt, color=filt_color, transp=0, linewidth=3, title="Filter")
//Band Plots
h_band_plot = plot(h_band, color=#05ff9b, transp=100, title="High Band")
l_band_plot = plot(l_band, color=#ff0583, transp=100, title="Low Band")
//Band Fills
fill(h_band_plot, filt_plot, color=#00b36b, transp=85, title="High Band Fill")
fill(l_band_plot, filt_plot, color=#b8005d, transp=85, title="Low Band Fill")
//Bar Color
barcolor(bar_color)
//External Trend Output
plot(fdir, transp=100, editable=false, display=display.none, title="External Output - Trend Signal")
// Trading Conditions Logic
longCond = close > filt and close > close[1] and upward > 0 or close > filt and close < close[1] and upward > 0
shortCond = close < filt and close < close[1] and downward > 0 or close < filt and close > close[1] and downward > 0
CondIni = 0
CondIni := longCond ? 1 : shortCond ? -1 : CondIni[1]
longCondition = longCond and CondIni[1] == -1
shortCondition = shortCond and CondIni[1] == 1
// Strategy Entry and Exit
strategy.entry("Buy", strategy.long, when = longCondition)
strategy.entry("Sell", strategy.short, when = shortCondition)
strategy.close("Buy", when = shortCondition)
strategy.close("Sell", when = longCondition)
// Plot Buy and Sell Labels
plotshape(longCondition, title = "Buy Signal", text ="BUY", textcolor = color.white, style=shape.labelup, size = size.normal, location=location.belowbar, color = color.green, transp = 0)
plotshape(shortCondition, title = "Sell Signal", text ="SELL", textcolor = color.white, style=shape.labeldown, size = size.normal, location=location.abovebar, color = color.red, transp = 0)
// Alerts
alertcondition(longCondition, title="Buy Alert", message = "BUY")
alertcondition(shortCondition, title="Sell Alert", message = "SELL")