This strategy utilizes the KDJ indicator and Moving Average (MA) to identify market trends and generate trading signals. When the KDJ indicator exceeds the overbought level and the price breaks below the MA, a short signal is generated; when the KDJ indicator is below the oversold level and the price breaks above the MA, a long signal is generated. By combining the KDJ indicator with MA trend confirmation, this strategy can better capture market trends while avoiding false signals in ranging markets.
By combining the KDJ indicator with moving averages, this strategy can effectively capture market trends and generate trading signals. Reasonable utilization of overbought/oversold information and trend direction can lead to robust trading performance. However, there is still room for optimization, such as introducing more filtering conditions, dynamic position management, stop-loss and take-profit, etc., to further enhance the strategy’s robustness and profitability. In practical application, the strategy needs to be fine-tuned and tested for different market environments and instruments to verify its effectiveness and applicability.
/*backtest start: 2024-04-01 00:00:00 end: 2024-04-30 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("KDJ Trending View with Signals and MA Strategy", overlay=true) // KDJ Settings kdjLength = input.int(9, title="KDJ Length") kdjSignal = input.int(3, title="KDJ Signal") kdjOverbought = input.int(80, title="KDJ Overbought Level") kdjOversold = input.int(20, title="KDJ Oversold Level") // Margin Settings longMargin = input.float(2.0, title="Long Margin", step=0.01) shortMargin = input.float(2.0, title="Short Margin", step=0.01) // MA Settings maLength = input.int(20, title="MA Length") maType = input.string("SMA", title="MA Type (SMA, EMA, etc.)") // Calculate KDJ kdj_highest = ta.highest(high, kdjLength) kdj_lowest = ta.lowest(low, kdjLength) kdjRSV = 100 * ((close - kdj_lowest) / (kdj_highest - kdj_lowest)) kdjK = ta.sma(kdjRSV, kdjSignal) kdjD = ta.sma(kdjK, kdjSignal) kdjJ = 3 * kdjK - 2 * kdjD // Calculate Moving Average ma = ta.sma(close, maLength) // SMA kullanarak ortalama hesaplama // Determine MA Direction maCrossUp = ta.crossover(close, ma) maCrossDown = ta.crossunder(close, ma) // Plot MA with Direction Color Change maColor = maCrossUp ? color.green : maCrossDown ? color.red : color.gray plot(ma, color=maColor, title="Moving Average") // Plot Trading Signals plotshape(kdjJ >= kdjOverbought ? low : na, style=shape.triangleup, location=location.belowbar, color=color.red, size=size.small, title="Short Signal") plotshape(kdjJ <= kdjOversold ? high : na, style=shape.triangledown, location=location.abovebar, color=color.green, size=size.small, title="Long Signal") // Trading Strategy with Manual Margin and MA Strategy if (kdjJ >= kdjOverbought and maCrossDown) strategy.entry("Short", strategy.short, qty=1, comment="Short Entry") if (kdjJ <= kdjOversold and maCrossUp) strategy.entry("Long", strategy.long, qty=1, comment="Long Entry")