This strategy combines the VWAP (Volume Weighted Average Price) and Supertrend indicators. It determines buy and sell signals by comparing the price’s position relative to the VWAP and the direction of the Supertrend indicator. A buy signal is generated when the price crosses above the VWAP and the Supertrend is positive, while a sell signal is generated when the price crosses below the VWAP and the Supertrend is negative. The strategy also avoids generating duplicate signals by recording the previous signal state until an opposite signal appears.
The VWAP and Supertrend Buy/Sell Strategy aims to comprehensively capture market trends and potential turning points by combining two different types of indicators. The strategy logic is clear and easy to implement and optimize. However, the strategy’s performance depends on parameter selection and lacks risk management measures. In practical applications, further optimization and refinement are needed to adapt to different market conditions and trading requirements.
/*backtest start: 2023-05-28 00:00:00 end: 2024-06-02 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy(title="VWAP and Super Trend Buy/Sell Strategy", shorttitle="VWAPST", overlay=true) //===== VWAP ===== showVWAP = input.bool(title="Show VWAP", defval=true, group="VWAP") VWAPSource = input.source(title="VWAP Source", defval=hl2, group="VWAP") VWAPrice = ta.vwap(VWAPSource) plot(showVWAP ? VWAPrice : na, color=color.teal, title="VWAP", linewidth=2) //===== Super Trend ===== showST = input.bool(true, "Show SuperTrend Indicator", group="Super Trend") Period = input.int(title="ATR Period", defval=10, group="Super Trend") Multiplier = input.float(title="ATR Multiplier", defval=2.0, group="Super Trend") // Super Trend ATR Up = hl2 - (Multiplier * ta.atr(Period)) Dn = hl2 + (Multiplier * ta.atr(Period)) var float TUp = na var float TDown = na TUp := na(TUp[1]) ? Up : close[1] > TUp[1] ? math.max(Up, TUp[1]) : Up TDown := na(TDown[1]) ? Dn : close[1] < TDown[1] ? math.min(Dn, TDown[1]) : Dn var int Trend = na Trend := na(Trend[1]) ? 1 : close > TDown[1] ? 1 : close < TUp[1] ? -1 : Trend[1] Tsl = Trend == 1 ? TUp : TDown linecolor = Trend == 1 ? color.green : color.red plot(showST ? Tsl : na, color=linecolor, style=plot.style_line, linewidth=2, title="SuperTrend") // Buy/Sell Conditions var bool previousBuysignal = false var bool previousSellsignal = false buysignal = not previousBuysignal and Trend == 1 and close > VWAPrice sellsignal = not previousSellsignal and Trend == -1 and close < VWAPrice // Ensure the signals are not repetitive if (buysignal) previousBuysignal := true previousSellsignal := false else if (sellsignal) previousBuysignal := false previousSellsignal := true // Execute buy and sell orders if (buysignal) strategy.entry("Buy", strategy.long) if (sellsignal) strategy.entry("Sell", strategy.short) // Plot Buy/Sell Labels //plotshape(buysignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY", textcolor=color.white, size=size.normal) //plotshape(sellsignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL", textcolor=color.white, size=size.normal)