This strategy combines the SuperTrend indicator and the DEMA indicator to implement a trend following trading strategy. It generates buy signals when the price breaks through the upper band and sell signals when the price breaks through the lower band. The DEMA indicator is used to filter out false signals. This strategy works well for trending markets and can effectively follow trends and filter out consolidations.
The core of this strategy relies on the SuperTrend indicator to determine the trend direction of prices. The SuperTrend indicator incorporates the ATR indicator and can effectively identify price trends. When prices rise, an upper band will form, and when prices fall, a lower band will form. A breakout from the lower band signals a trend reversal and generates a buy signal. A breakout from the upper band signals a trend reversal and generates a sell signal.
To filter out false signals, this strategy also incorporates the DEMA indicator. Buy signals are only generated when prices break through the upper band and are above the DEMA line. Sell signals are only generated when prices break through the lower band and are below the DEMA line. This effectively filters out false signals in ranging markets.
Specifically, the trading signal logic is as follows:
Through this logic design, the strategy can follow trends in trending markets and avoid frequently opening positions in ranging markets.
Risk Management:
The strategy can be enhanced from the following aspects:
SuperTrend parameter optimization. Test different ATR period combinations to find optimum parameters.
DEMA parameter optimization. Test different values to determine optimum settings.
Add stop loss mechanism. Set stop loss based on ATR values to prevent oversized stops.
Add signal filters. Increase confirmation from other indicators at key points to prevent false signals. For example, add volume confirmation at trend reversal points.
Improve position sizing. Dynamically adjust sizes based on market volatility and risks.
This strategy combines the strengths of SuperTrend and DEMA indicators to implement a quantitative trading strategy based on trend following and signal filtering. There is ample room for optimization through parameter tuning, stop losses, and signal filters to further improve stability and profitability. The strategy logic is simple and easy to implement with controllable risks. It is suitable for live trading.
/*backtest start: 2023-11-07 00:00:00 end: 2023-12-07 00:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy('Krish\'s Supertrend Strategy', overlay=true) // Supertrend Settings Periods = input(title='ATR Period', defval=10) src = input(hl2, title='Source') Multiplier = input.float(title='ATR Multiplier', step=0.1, defval=3.0) changeATR = input(title='Change ATR Calculation Method ?', defval=true) showsignals = input(title='Show Buy/Sell Signals ?', defval=true) highlighting = input(title='Highlighter On/Off ?', defval=true) atr2 = ta.sma(ta.tr, Periods) atr = changeATR ? ta.atr(Periods) : atr2 up = src - Multiplier * atr up1 = nz(up[1], up) up := close[1] > up1 ? math.max(up, up1) : up dn = src + Multiplier * atr dn1 = nz(dn[1], dn) dn := close[1] < dn1 ? math.min(dn, dn1) : dn trend = 1 trend := nz(trend[1], trend) trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend upPlot = plot(trend == 1 ? up : na, title='Up Trend', style=plot.style_linebr, linewidth=2, color=color.new(color.green, 0)) buySignal = trend == 1 and trend[1] == -1 plotshape(buySignal ? up : na, title='UpTrend Begins', location=location.absolute, style=shape.circle, size=size.tiny, color=color.new(color.green, 0)) plotshape(buySignal and showsignals ? up : na, title='Buy', text='Buy', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(color.green, 0), textcolor=color.new(color.white, 0)) dnPlot = plot(trend == 1 ? na : dn, title='Down Trend', style=plot.style_linebr, linewidth=2, color=color.new(color.red, 0)) sellSignal = trend == -1 and trend[1] == 1 plotshape(sellSignal ? dn : na, title='DownTrend Begins', location=location.absolute, style=shape.circle, size=size.tiny, color=color.new(color.red, 0)) plotshape(sellSignal and showsignals ? dn : na, title='Sell', text='Sell', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.red, 0), textcolor=color.new(color.white, 0)) // DEMA Settings dema_length = 200 dema = ta.ema(close, dema_length) // Long and Short Conditions longCondition = buySignal and close > dema shortCondition = sellSignal and close < dema // Strategy Entry and Exit strategy.entry('Long', strategy.long, when=longCondition) strategy.entry('Short', strategy.short, when=shortCondition) strategy.close('Long', when=ta.change(trend) or close < dema) strategy.close('Short', when=ta.change(trend) or close > dema) // Plotting mPlot = plot(ohlc4, title='', style=plot.style_circles, linewidth=0) longFillColor = highlighting ? trend == 1 ? color.green : color.white : color.white shortFillColor = highlighting ? trend == -1 ? color.red : color.white : color.white fill(mPlot, upPlot, title='UpTrend Highlighter', color=longFillColor, transp=90) fill(mPlot, dnPlot, title='DownTrend Highlighter', color=shortFillColor, transp=90) // Alerts (using plotshape for alerts in strategies) plotshape(buySignal, title='SuperTrend Buy', color=color.new(color.green, 0), style=shape.triangleup, size=size.small) plotshape(sellSignal, title='SuperTrend Sell', color=color.new(color.red, 0), style=shape.triangledown, size=size.small) changeCond = trend != trend[1] plotshape(changeCond, title='SuperTrend Direction Change', color=color.new(color.yellow, 0), style=shape.triangleup, size=size.small)