Esta estrategia se llama
Los pasos son los siguientes:
Calcular los precios más altos y más bajos durante los últimos 5 días de negociación.
Tomemos los dos precios más altos para construir el carril superior, y los dos precios más bajos para construir el carril inferior.
Cuando el precio se eleva por encima de la barandilla superior en un cierto porcentaje (por ejemplo, un 0,3%), se genera una señal de compra.
Cuando el precio cae por debajo de la línea inferior en un cierto porcentaje, se genera una señal de venta.
Después de la entrada, el segundo precio más alto/más bajo se utiliza como stop loss, o se realiza un seguimiento de la toma de ganancias a un cierto porcentaje (por ejemplo, 0,5%) antes de salir.
La ventaja es utilizar las principales rupturas de precios altos/bajos para determinar los puntos de reversión de la tendencia.
En resumen, observar las rupturas de las áreas clave de precios es un enfoque clásico de seguimiento de tendencias.
/*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)