This strategy is based on the QQE indicator and the RSI indicator. It calculates the smoothed moving average and dynamic oscillation range of the RSI indicator to construct long-short signal intervals. When the RSI indicator breaks through the upper rail, it generates a long signal, and when it breaks through the lower rail, it generates a short signal. The main idea of the strategy is to use the trend characteristics of the RSI indicator and the volatility characteristics of the QQE indicator to capture changes in market trends and volatility opportunities.
This strategy constructs long-short signals based on the RSI indicator and the QQE indicator, and has the characteristics of trend capture and volatility grasp. The strategy logic is clear, with fewer parameters, and is suitable for further optimization and improvement. However, the strategy also has certain risks, such as drawdown control and parameter setting, which need to be further improved. In the future, the strategy can be optimized from aspects such as stop-loss mechanism, parameter optimization, signal enrichment, and adaptability to different markets, so as to improve the robustness and profitability of the strategy.
/*backtest start: 2023-05-21 00:00:00 end: 2024-05-26 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Binance","currency":"BTC_USDT"}] */ //@version=4 // modified by swigle // thanks colinmck strategy("QQE signals bot", overlay=true) RSI_Period = input(14, title='RSI Length') SF = input(5, title='RSI Smoothing') QQE = input(4.236, title='Fast QQE Factor') ThreshHold = input(10, title="Thresh-hold") src = close Wilders_Period = RSI_Period * 2 - 1 Rsi = rsi(src, RSI_Period) RsiMa = ema(Rsi, SF) AtrRsi = abs(RsiMa[1] - RsiMa) MaAtrRsi = ema(AtrRsi, Wilders_Period) dar = ema(MaAtrRsi, Wilders_Period) * QQE longband = 0.0 shortband = 0.0 trend = 0 DeltaFastAtrRsi = dar RSIndex = RsiMa newshortband = RSIndex + DeltaFastAtrRsi newlongband = RSIndex - DeltaFastAtrRsi longband := RSIndex[1] > longband[1] and RSIndex > longband[1] ? max(longband[1], newlongband) : newlongband shortband := RSIndex[1] < shortband[1] and RSIndex < shortband[1] ? min(shortband[1], newshortband) : newshortband cross_1 = cross(longband[1], RSIndex) trend := cross(RSIndex, shortband[1]) ? 1 : cross_1 ? -1 : nz(trend[1], 1) FastAtrRsiTL = trend == 1 ? longband : shortband // Find all the QQE Crosses QQExlong = 0 QQExlong := nz(QQExlong[1]) QQExshort = 0 QQExshort := nz(QQExshort[1]) QQExlong := FastAtrRsiTL < RSIndex ? QQExlong + 1 : 0 QQExshort := FastAtrRsiTL > RSIndex ? QQExshort + 1 : 0 //Conditions qqeLong = QQExlong == 1 ? FastAtrRsiTL[1] - 50 : na qqeShort = QQExshort == 1 ? FastAtrRsiTL[1] - 50 : na // Plotting plotshape(qqeLong, title="QQE long", text="Long", textcolor=color.white, style=shape.labelup, location=location.belowbar, color=color.green, size=size.tiny) plotshape(qqeShort, title="QQE short", text="Short", textcolor=color.white, style=shape.labeldown, location=location.abovebar, color=color.red, size=size.tiny) // trade //if qqeLong > 0 strategy.entry("buy long", strategy.long, 100, when=qqeLong) if qqeShort > 0 strategy.close("buy long") // strategy.exit("close_position", "buy long", loss=1000) // strategy.entry("sell", strategy.short, 1, when=strategy.position_size > 0)template: strategy.tpl:40:21: executing "strategy.tpl" at <.api.GetStrategyListByName>: wrong number of args for GetStrategyListByName: want 7 got 6