This strategy is named βConfigurable Dual-direction Supertrend Strategyβ. It uses the Supertrend trailing stop mechanism to identify price trends, and allows separate parameter configuration for long and short trades, enabling precise trend following.
The Supertrend calculation is: using ATR multiplied by a coefficient to build price channels. The upper band is the long stop loss and the lower band is the short stop loss. Price breaking the channel generates trade signals.
The innovation is the independent parameter configuration for long and short:
Supertrend parameters like ATR period and coefficient can be set separately.
Maximum holding period can also be configured independently to adjust profit targets.
Stop loss methods (fixed percentage or ATR trailing) can also be set differently.
This allows only-long, only-short or dual-direction trading to better fit specific market conditions.
The advantages are the intuitive Supertrend mechanism and abundant configurable combinations. But Supertrend alone is prone to breaches and needs confirmation. Parameter optimization is also crucial.
In summary, the configurable dual Supertrend strategy improves trend trading precision, while keeping the core idea simple for practical application.
/*backtest start: 2023-01-01 00:00:00 end: 2023-09-12 00:00:00 period: 3h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] args: [["v_input_8",true],["v_input_11",true]] */ //@version=4 strategy("Super Trend Daily 2.0 BF π", overlay=true, precision=2, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.075) /////////////// Time Frame /////////////// _0 = input(false, "ββββββββ Test Period βββββββ") testStartYear = input(2017, "Backtest Start Year") testStartMonth = input(1, "Backtest Start Month") testStartDay = input(1, "Backtest Start Day") testPeriodStart = timestamp(testStartYear,testStartMonth,testStartDay, 0, 0) testStopYear = input(2019, "Backtest Stop Year") testStopMonth = input(12, "Backtest Stop Month") testStopDay = input(31, "Backtest Stop Day") testPeriodStop = timestamp(testStopYear,testStopMonth,testStopDay, 0, 0) testPeriod() => true ///////////// Super Trend Long ///////////// _1 = input(false, "βββββ Super Trend L βββββ") lengthl = input(title="ATR Period", type=input.integer, defval=2) multl = input(title="ATR Multiplier", type=input.float, step=0.1, defval=1.5) atrl = multl * atr(lengthl) longStopl = hl2 - atrl longStopPrevl = nz(longStopl[1], longStopl) longStopl := close[1] > longStopPrevl ? max(longStopl, longStopPrevl) : longStopl shortStopl = hl2 + atrl shortStopPrevl = nz(shortStopl[1], shortStopl) shortStopl := close[1] < shortStopPrevl ? min(shortStopl, shortStopPrevl) : shortStopl dirl = 1 dirl := nz(dirl[1], dirl) dirl := dirl == -1 and close > shortStopPrevl ? 1 : dirl == 1 and close < longStopPrevl ? -1 : dirl ///////////// Super Trend Short ///////////// _2 = input(false, "βββββ Super Trend S βββββ") lengths = input(title="ATR Period", type=input.integer, defval=3) mults = input(title="ATR Multiplier", type=input.float, step=0.1, defval=1.3) atrs = mults * atr(lengths) longStops = hl2 - atrs longStopPrevs = nz(longStops[1], longStops) longStops := close[1] > longStopPrevs ? max(longStops, longStopPrevs) : longStops shortStops = hl2 + atrs shortStopPrevs = nz(shortStops[1], shortStops) shortStops := close[1] < shortStopPrevs ? min(shortStops, shortStopPrevs) : shortStops dirs = 1 dirs := nz(dirs[1], dirs) dirs := dirs == -1 and close > shortStopPrevs ? 1 : dirs == 1 and close < longStopPrevs ? -1 : dirs ///////////// Rate Of Change Long ///////////// _3 = input(false, "βββββ Rate of Change L βββββ") sourcel = close roclengthl = input(30, "ROC Length", minval=1) pcntChangel = input(6, "ROC % Change", minval=1) rocl = 100 * (sourcel - sourcel[roclengthl]) / sourcel[roclengthl] emarocl = ema(rocl, roclengthl / 2) isMovingl() => emarocl > (pcntChangel / 2) or emarocl < (0 - (pcntChangel / 2)) ///////////// Rate Of Change Short ///////////// _4 = input(false, "βββββ Rate of Change S βββββ") sources = close roclengths = input(76, "ROC Length", minval=1) pcntChanges = input(6, "ROC % Change", minval=1) rocs = 100 * (sources - sources[roclengths]) / sources[roclengths] emarocs = ema(rocs, roclengths / 2) isMovings() => emarocs > (pcntChanges / 2) or emarocs < (0 - (pcntChanges / 2)) /////////////// Strategy /////////////// long = dirl == 1 and dirl[1] == -1 and isMovingl() short = dirs == -1 and dirs[1] == 1 and isMovings() last_long = 0.0 last_short = 0.0 last_long := long ? time : nz(last_long[1]) last_short := short ? time : nz(last_short[1]) long_signal = crossover(last_long, last_short) short_signal = crossover(last_short, last_long) last_open_long_signal = 0.0 last_open_short_signal = 0.0 last_open_long_signal := long_signal ? open : nz(last_open_long_signal[1]) last_open_short_signal := short_signal ? open : nz(last_open_short_signal[1]) last_long_signal = 0.0 last_short_signal = 0.0 last_long_signal := long_signal ? time : nz(last_long_signal[1]) last_short_signal := short_signal ? time : nz(last_short_signal[1]) in_long_signal = last_long_signal > last_short_signal in_short_signal = last_short_signal > last_long_signal last_high = 0.0 last_low = 0.0 last_high := not in_long_signal ? na : in_long_signal and (na(last_high[1]) or high > nz(last_high[1])) ? high : nz(last_high[1]) last_low := not in_short_signal ? na : in_short_signal and (na(last_low[1]) or low < nz(last_low[1])) ? low : nz(last_low[1]) since_longEntry = barssince(last_open_long_signal != last_open_long_signal[1]) since_shortEntry = barssince(last_open_short_signal != last_open_short_signal[1]) /////////////// Stop Losses Long /////////////// _5 = input(false, "βββββββ Stop Loss L ββββββ") SL_typel = input("Fixed", options=["Fixed", "ATR Derived"], title="Stop Loss Type") sl_inpl = input(6.0, title='Fixed Stop Loss %') / 100 atrLkbl = input(20, minval=1, title='ATR Stop Period') atrMultl = input(1.5, step=0.25, title='ATR Stop Multiplier') atr1l = atr(atrLkbl) longStop1l = 0.0 longStop1l := short_signal ? na : long_signal ? close - (atr1l * atrMultl) : longStop1l[1] slLongl = in_long_signal ? strategy.position_avg_price * (1 - sl_inpl) : na long_sll = in_long_signal ? slLongl : na /////////////// Stop Losses Short /////////////// _6 = input(false, "βββββββ Stop Loss S ββββββ") SL_types = input("Fixed", options=["Fixed", "ATR Derived"], title="Stop Loss Type") sl_inps = input(6.0, title='Fixed Stop Loss %') / 100 atrLkbs = input(20, minval=1, title='ATR Stop Period') atrMults = input(1.5, step=0.25, title='ATR Stop Multiplier') atr1s = atr(atrLkbs) shortStop1s = 0.0 shortStop1s := long_signal ? na : short_signal ? close + (atr1s * atrMults) : shortStop1s[1] slShorts = strategy.position_avg_price * (1 + sl_inps) short_sls = in_short_signal ? slShorts : na _7 = input(false, "ββββββ Longs or Shorts βββββ") useLongs = input(true, title="Use Longs") useShorts = input(true, title="Use Shorts") /////////////// Execution /////////////// if testPeriod() if useLongs strategy.entry("L", strategy.long, when=long) strategy.exit("L SL", "L", stop = SL_typel == "Fixed" ? long_sll : longStop1l, when=since_longEntry > 0) if useShorts strategy.exit("S SL", "S", stop = SL_types == "Fixed" ? short_sls : shortStop1s, when=since_shortEntry > 0) strategy.entry("S", strategy.short, when=short) if not useShorts strategy.close("L", when=short) if not useLongs strategy.close("S", when=long) /////////////// Plotting /////////////// bgcolor(long_signal ? color.lime : short_signal ? color.red : na, transp=30) bgcolor(not isMovings() ? color.white : not isMovingl() ? color.aqua : na) plot(strategy.position_size <= 0 ? na : SL_typel == "Fixed" ? long_sll : longStop1l, title="Long Stop Loss", color=color.yellow, style=plot.style_circles, linewidth=2) plot(strategy.position_size >= 0 ? na : SL_types == "Fixed" ? short_sls : shortStop1s, title="Short Stop Loss", color=color.orange, style=plot.style_circles, linewidth=2)