The price reversal strategy guided by price channel calculates the center line of the price channel to determine the trend direction of price fluctuations. It generates long and short signals when the price approaches the channel center line. This strategy combines multiple filter conditions to search for high probability trading opportunities.
The core indicator of this strategy is the price channel center line. It is calculated as the average of the highest price and lowest price of the most recent 30 candlesticks. When the low is higher than the center line, it is considered an uptrend. When the high is lower than the center line, it is considered a downtrend.
The strategy only generates trading signals when the trend background changes. That is, in an uptrend background, it goes short only when the candlestick turns red. In a downtrend background, it goes long only when the candlestick turns green.
In addition, the strategy also sets double filter conditions: candlestick body filter and price channel bars filter. Signals are triggered only when the candlestick body volume is greater than 20% of the average value, and there must be consecutive trend signals within the filter cycle to open positions.
This strategy combines trend, value area and candlestick patterns, which is an efficient reversal trading strategy. The main advantages are:
The main risks of this strategy come from missing price reversal points and unnecessary waiting for signals. It can be optimized in the following ways:
This strategy can be optimized in the following aspects:
The price reversal strategy guided by the price channel determines reversal points through price channels, and sets double filter conditions to generate high quality signals. On the basis of parameter tuning and risk control, it is a reliable quantitative strategy.
/*backtest start: 2023-11-19 00:00:00 end: 2023-11-26 00:00:00 period: 1m basePeriod: 1m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //Noro //2018 //@version=2 strategy(title = "Noro's PriceChannel for D1 v1.0", shorttitle = "PriceChannel D1", overlay = true, default_qty_type = strategy.percent_of_equity, default_qty_value = 100.0, pyramiding = 0) //Settings needlong = input(true, "long") needshort = input(true, "short") slowlen = input(30, defval = 30, minval = 2, maxval = 200, title = "PriceChannel Period") pcbars = input(1, defval = 1, minval = 1, maxval = 20, title = "PriceChannel Bars") usecol = input(true, "Use color-filter") usebod = input(true, "Use body-filter") needbg = input(false, defval = false, title = "Need trend Background?") fromyear = input(1900, defval = 1900, minval = 1900, maxval = 2100, title = "From Year") toyear = input(2100, defval = 2100, minval = 1900, maxval = 2100, title = "To Year") frommonth = input(01, defval = 01, minval = 01, maxval = 12, title = "From Month") tomonth = input(12, defval = 12, minval = 01, maxval = 12, title = "To Month") fromday = input(01, defval = 01, minval = 01, maxval = 31, title = "From day") today = input(31, defval = 31, minval = 01, maxval = 31, title = "To day") src = close //PriceChannel lasthigh = highest(src, slowlen) lastlow = lowest(src, slowlen) center = (lasthigh + lastlow) / 2 //Trend ub = low > center ? 1 : 0 db = high < center ? 1 : 0 trend = sma(ub, pcbars) == 1 ? 1 : sma(db, pcbars) == 1 ? -1 : trend[1] //Body body = abs(close - open) abody = sma(body, 10) //Signals up = trend == 1 and (close < open or usecol == false) and (body > abody / 5 or usebod == false) dn = trend == -1 and (close > open or usecol == false) and (body > abody / 5 or usebod == false) //Lines plot(center, color = blue, linewidth = 3, transp = 0, title = "PriceChannel Center") //Background col = needbg == false ? na : trend == 1 ? lime : red bgcolor(col, transp = 80) //Trading if up strategy.entry("Long", strategy.long, needlong == false ? 0 : na, when=(time > timestamp(fromyear, frommonth, fromday, 00, 00) and time < timestamp(toyear, tomonth, today, 23, 59))) if dn strategy.entry("Short", strategy.short, needshort == false ? 0 : na, when=(time > timestamp(fromyear, frommonth, fromday, 00, 00) and time < timestamp(toyear, tomonth, today, 23, 59))) if time > timestamp(toyear, tomonth, today, 23, 59) strategy.close_all()