Diese Strategie wird
Die Schritte sind:
Berechnen Sie die höchsten Höchst- und niedrigsten Tiefpreise der letzten 5 Handelstage.
Nehmen Sie die 2 höchsten hohen Preise für den Aufbau der oberen Schiene und die 2 niedrigsten niedrigen Preise für die unteren Schienen.
Wenn der Preis um einen bestimmten Prozentsatz (z. B. 0,3%) über die obere Schiene steigt, wird ein Kaufsignal generiert.
Wenn der Preis um einen bestimmten Prozentsatz unter die untere Schiene fällt, wird ein Verkaufssignal erzeugt.
Nach dem Eintritt wird der zweithöchste/niedrigste Preis als Stop-Loss verwendet, oder ein Gewinnsatz von einem bestimmten Prozentsatz (z. B. 0,5%) wird vor dem Ausstieg verfolgt.
Der Vorteil besteht darin, bei der Bestimmung von Trendumkehrpunkten die wichtigsten Preisdurchbrüche zwischen hohem und niedrigem Preis zu verwenden.
Zusammenfassend ist das Beobachten von Ausbrüchen in wichtigen Preisbereichen ein klassischer Trendfolgungsansatz, aber Trader benötigen immer noch Bestätigung mit anderen Indikatoren und Parameteroptimierung, um den Nutzen der Strategie zu maximieren.
/*backtest
start: 2023-08-13 00:00:00
end: 2023-09-12 00:00:00
period: 4h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// @version=4
// Based on Sort pseudo-array v2 by apozdnyakov https://www.tradingview.com/script/IUlIoSnA-Sort-pseudo-array-v2/
strategy(title="5 Day high/low breakout strategy", shorttitle="5 days range breakout", overlay=true)
entry_factor = input(title="Entry - % point above high/low", type=input.float, defval=0.3, minval=0, maxval=5)
profit_target = input(title="Profit Target %", type=input.float, defval=0.5, minval=0, maxval=5)
trade_type = input(defval = "BOTH", title = "Trade Type: LONG, SHORT, BOTH ( case sensitive )", type = input.string)
width = input(defval = 2, title = "High/Low line width (Enter 0 to hide )", type = input.integer, minval=0, maxval=5)
debug = input(defval= "NO", title = "Display sorted low/high: YES, NO ( case sensitive )", type = input.string)
high_day1 = security(syminfo.tickerid, "D", high[1], lookahead = barmerge.lookahead_on)
high_day2 = security(syminfo.tickerid, "D", high[2], lookahead = barmerge.lookahead_on)
high_day3 = security(syminfo.tickerid, "D", high[3], lookahead = barmerge.lookahead_on)
high_day4 = security(syminfo.tickerid, "D", high[4], lookahead = barmerge.lookahead_on)
high_day5 = security(syminfo.tickerid, "D", high[5], lookahead = barmerge.lookahead_on)
low_day1 = security(syminfo.tickerid, "D", low[1], lookahead = barmerge.lookahead_on)
low_day2 = security(syminfo.tickerid, "D", low[2], lookahead = barmerge.lookahead_on)
low_day3 = security(syminfo.tickerid, "D", low[3], lookahead = barmerge.lookahead_on)
low_day4 = security(syminfo.tickerid, "D", low[4], lookahead = barmerge.lookahead_on)
low_day5 = security(syminfo.tickerid, "D", low[5], lookahead = barmerge.lookahead_on)
// sorts a list of up to the fixed length
sort_all(type) =>
float s0 = na
float s1 = na
float s2 = na
float s3 = na
float s4 = na
h_val = security(syminfo.tickerid, "D", high, false)
float min = na
float last = na
for i = 0 to 4
float min_local = na
float last_local = na
float val = na
for l = 0 to 4
if type == "high"
val := l == 0 ? high_day1 : val
val := l == 1 ? high_day2 : val
val := l == 2 ? high_day3 : val
val := l == 3 ? high_day4 : val
val := l == 4 ? high_day5 : val
else
val := l == 0 ? low_day1 : val
val := l == 1 ? low_day2 : val
val := l == 2 ? low_day3 : val
val := l == 3 ? low_day4 : val
val := l == 4 ? low_day5 : val
if(na(min) or val > min or (val == min and l > last))
new_min_local = na(min_local) ? val : min(min_local, na(min) ? val : max(min, val))
if(na(min_local) or new_min_local != min_local)
last_local := l
min_local := new_min_local
min := min_local
last := last_local
s0 := i == 0 ? min : s0
s1 := i == 1 ? min : s1
s2 := i == 2 ? min : s2
s3 := i == 3 ? min : s3
s4 := i == 4 ? min : s4
[s0, s1, s2, s3, s4]
[high5, high4, high3, high2, high1] = sort_all("high")
[low1, low2, low3, low4, low5] = sort_all("low")
plot(high1, color = color.blue, style=plot.style_circles, linewidth=width)
plot(high2, color = color.red, style=plot.style_circles, linewidth=width)
plot(low1, color = color.blue, style=plot.style_circles, linewidth=width)
plot(low2, color = color.red, style=plot.style_circles, linewidth=width)
if close >= (high1 * (1 + entry_factor/100)) and strategy.position_size == 0 and hour <= 12
strategy.entry(id = "long_entry", long = true, qty = 1, stop = high2)
strategy.close(id = "long_entry", when = strategy.position_size != 0 and (close < high2 or close > high1 * (1 + (entry_factor + profit_target)/100)))
if close <= (low1 * (1 - entry_factor/100)) and strategy.position_size == 0 and hour <= 12
strategy.entry(id = "short_entry", long = false, qty = 1, stop = low2)
strategy.close(id = "short_entry", when = strategy.position_size != 0 and (close > low2 or close < low1 * (1 - (entry_factor + profit_target)/100)))
if (hour == 14)
strategy.close_all()
//No more than 1 order per day
// strategy.risk.max_intraday_filled_orders(2)
//Check whether this is the first bar of the day? If yes, display highs for last 5 days
// t = time("1440", session.regular)
// is_first = na(t[1]) and not na(t) or t[1] < t
// if (is_first and debug != "NO")
// label.new(bar_index, na, tostring(high1) + ", " + tostring(high2) + ", " + tostring(high3) + ", " + tostring(high4) + ", " + tostring(high5), style=label.style_cross, yloc=yloc.abovebar)
// label.new(bar_index, na, tostring(low1) + ", " + tostring(low2) + ", " + tostring(low3) + ", " + tostring(low4) + ", " + tostring(low5), style=label.style_cross, yloc=yloc.belowbar)