This strategy combines the Ichimoku Cloud, short-term (55) and long-term (200) Simple Moving Averages (SMA) to identify potential buy and sell signals. Buy signals require the price to be above the cloud and long-term SMA, and to retest the short-term SMA after crossing above it. Sell signals require the price to be below the cloud and long-term SMA, and to retest the short-term SMA after crossing below it. The strategy avoids generating signals during ranging markets or high news events, as these periods tend to have more fake-outs. Backtesting shows the strategy performs best on the 1-hour and 2-hour timeframes.
The strategy is based on the following principles:
The code first calculates the required Ichimoku Cloud components (Conversion Line, Base Line, Leading Span A and B), as well as the short-term and long-term SMAs. It then defines multiple conditions to identify the price position relative to the cloud and moving averages. When all buy/sell conditions are met, the code generates buy and sell signals respectively.
The “Ichimoku Cloud and Moving Average Strategy” seeks low-risk entry opportunities by combining the Ichimoku Cloud with Simple Moving Averages within established trends. By filtering out trades during ranging markets and high news events, the strategy reduces fake-out risks and improves overall performance. It is mainly suitable for medium to long-term traders and performs well on 1-hour and 2-hour timeframes. However, there is still room for further optimization, such as introducing clear stop-losses, optimizing signal combinations, and tuning parameters, to achieve more robust strategy performance.
/*backtest start: 2023-05-11 00:00:00 end: 2024-05-16 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("Ichimoku Cloud and Moving Average Strategy", shorttitle="ICMA", overlay=true) // Input parameters shortMA = input.int(55, title="Short-term Moving Average Length") longMA = input.int(200, title="Long-term Moving Average Length") // Calculate moving averages shortSMA = ta.sma(close, shortMA) longSMA = ta.sma(close, longMA) // Ichimoku Cloud settings conversionPeriod = input.int(9, title="Conversion Line Period") basePeriod = input.int(26, title="Base Line Period") spanBPeriod = input.int(52, title="Span B Period") displacement = input.int(26, title="Displacement") // Calculate Ichimoku Cloud components conversionLine = ta.sma(high + low, conversionPeriod) / 2 baseLine = ta.sma(high + low, basePeriod) / 2 leadSpanA = (conversionLine + baseLine) / 2 leadSpanB = ta.sma(high + low, spanBPeriod) / 2 // Plot Ichimoku Cloud components plot(leadSpanA, color=color.blue, title="Leading Span A") plot(leadSpanB, color=color.red, title="Leading Span B") // Entry conditions aboveCloud = close > leadSpanA and close > leadSpanB belowCloud = close < leadSpanA and close < leadSpanB aboveShortMA = close > shortSMA aboveLongMA = close > longSMA belowShortMA = close < shortSMA belowLongMA = close < longSMA // Buy condition (Price retests 55 moving average after being above it) buyCondition = aboveCloud and aboveLongMA and close[1] < shortSMA and close > shortSMA // Sell condition (Price retests 55 moving average after being below it) sellCondition = belowCloud and belowLongMA and close[1] > shortSMA and close < shortSMA // Strategy entry and exit strategy.entry("Buy", strategy.long, when = buyCondition) strategy.entry("Sell", strategy.short, when = sellCondition) // Plot moving averages plot(shortSMA, color=color.green, title="Short-term SMA") plot(longSMA, color=color.red, title="Long-term SMA") // Plot buy and sell signals plotshape(series=buyCondition, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal") plotshape(series=sellCondition, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")