The CCI + MA Crossover Pullback Buy Strategy is a quantitative trading strategy that combines the Commodity Channel Index (CCI) and dual moving average crossover signals. The strategy buys when the price pulls back to the fast moving average and the CCI indicates oversold conditions after a bullish crossover. It sells when the price rallies to the fast moving average and the CCI indicates overbought conditions after a bearish crossover. By combining CCI and dual moving average crossover signals, this strategy can better capture trending opportunities while achieving better entry and exit points through pullback buys and rally sells, thus improving the risk-reward ratio.
The CCI + MA Crossover Pullback Buy Strategy is a quantitative trading strategy that combines the advantages of trend following and counter-trend entry. By capturing trend direction with dual moving averages and identifying overbought/oversold zones with the CCI indicator, while waiting for price pullbacks and rallies to achieve better entry prices, the strategy can potentially improve profitability and risk-reward ratio to a certain extent. However, the strategy also faces risks such as parameter optimization, choppy markets, and sudden trend changes. Further optimization and improvements are needed to enhance the robustness and profitability of the strategy. The strategy logic is clear, the code structure is complete, and it is suitable for live trading overall.
/*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"}] */ // This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © tradedots //@version=5 strategy("CCI + MA Crossover Pullback Buy Strategy [TradeDots]", overlay=true) ma(source, length, type) => type == "SMA" ? ta.sma(source[1], length) : type == "EMA" ? ta.ema(source[1], length) : type == "SMMA (RMA)" ? ta.rma(source[1], length) : type == "WMA" ? ta.wma(source[1], length) : type == "VWMA" ? ta.vwma(source[1], length) : na //CCI settings cci_coloring = input.bool(true, "CCI Background Color", group = "Commodity channel index") cci_length = input.int(20,"CCI Length", group = "Commodity channel index") cci_ma_type = input.string("EMA","CCI MA Type", options=["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"], group = "Commodity channel index") cci_soruce = input(hlc3, "CCI Source", group = "Commodity channel index") cci_threshold = input.int(100, "CCI Threshold", group = "Commodity channel index") cci_ma = ma(cci_soruce, cci_length, cci_ma_type) cci = (cci_soruce - cci_ma) / (0.015 * ta.dev(cci_soruce, cci_length)) bgcolor(cci > cci_threshold and cci_coloring ? color.new(#f9396a, 80) : cci < -cci_threshold and cci_coloring? color.new(#9cff87, 80) : na, title = "CCI Overbought / Oversold") //ma crossover settings input_crossover_labels = input.bool(true, "Show Crossover Labels", group="Moving average") fastma_type = input.string("EMA","", inline="fastma", options=["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"], group="Moving average") fastma_source = input(close, "", inline="fastma", group="Moving average") fastma_length = input.int(10, "", inline="fastma", minval=1,group="Moving average") fastma_color = input(#e2fdff, "", inline="fastma",group="Moving average") fastma = ma(fastma_source, fastma_length, fastma_type) fastmaPlot = plot(fastma, color = #b7e4c7, linewidth = 2, title = "Fast MA") slowma_type = input.string("EMA","", inline="slowma", options=["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"], group="Moving average") slowma_source = input(close, "", inline="slowma", group="Moving average") slowma_length = input.int(30, "", inline="slowma", minval=1,group="Moving average") slowma_color = input(#e2fdff, "", inline="slowma",group="Moving average") slowma = ma(slowma_source, slowma_length, slowma_type) slowmaPlot = plot(slowma, color = #2d6a4f, linewidth = 2, title = "Slow MA") bullish_crossover = ta.crossover(fastma, slowma) bearish_crossover = ta.crossunder(fastma, slowma) // // strategy // if bullish_crossover and input_crossover_labels // line.new(bar_index, close, bar_index, close * 1.01, extend = extend.both, color = color.new(#9cff87, 30), style = line.style_dotted, width = 3) // label.new(bar_index,low, "Bullish Crossover", style = label.style_label_up, color = #9cff87) // else if bearish_crossover and input_crossover_labels // line.new(bar_index, close, bar_index, close * 1.01, extend = extend.both, color = color.new(#f9396a, 30), style = line.style_dotted, width = 3) // label.new(bar_index, high, "Bearish Crossover", style = label.style_label_down, color = #f9396a, textcolor = color.white) if fastma > slowma and close[1] < fastma and close > open and cci < -cci_threshold strategy.entry("Long", strategy.long) // if strategy.opentrades == 0 or strategy.opentrades.size(strategy.opentrades -1) < 0 // label.new(bar_index,low, "🟢 Long", style = label.style_label_up, color = #9cff87) if fastma < slowma and close[1] > fastma and close < open and cci > cci_threshold strategy.entry("Short", strategy.short) // if strategy.opentrades == 0 or strategy.opentrades.size(strategy.opentrades -1) > 0 // label.new(bar_index, high, "🔴 Short", style = label.style_label_down, color = #f9396a, textcolor = color.white)template: strategy.tpl:40:21: executing "strategy.tpl" at <.api.GetStrategyListByName>: wrong number of args for GetStrategyListByName: want 7 got 6