The GM-8 & ADX Dual Moving Average Strategy is a quantitative trading strategy that combines multiple technical indicators. It utilizes the GM-8 indicator, ADX indicator, and a second EMA indicator to identify potential buy and sell signals. The GM-8 indicator is used to determine price trends, the ADX indicator is used to confirm trend strength, and the second EMA indicator is used to assist in determining trend direction. Buy and sell signals are generated when the price breaks through the GM-8 moving average and the ADX indicator is above a threshold. The advantage of this strategy lies in its combination of multiple indicators, which improves the reliability of signals. However, it also carries certain risks, such as false signals and lag. Optimization directions include parameter optimization, adding stop-loss and take-profit, etc. Overall, the GM-8 & ADX Dual Moving Average Strategy is a relatively mature quantitative trading strategy that merits further research and optimization.
The principle of the GM-8 & ADX Dual Moving Average Strategy is as follows:
The GM-8 & ADX Dual Moving Average Strategy is a classic quantitative trading strategy that combines multiple technical indicators to identify buy and sell signals. The advantages of this strategy lie in its simple and clear logic, relatively reliable signals, and suitability for beginners to learn and use. However, it also carries risks such as lagging trend recognition, frequent trading, and difficulty in parameter selection. To further enhance the strategy’s performance, optimization measures such as introducing more filtering conditions, optimizing entry and exit timing, dynamically adjusting parameters, and adding position management can be considered. Overall, the GM-8 & ADX Dual Moving Average Strategy provides a good basic framework for quantitative trading and is worth continuous refinement and improvement in practice.
/*backtest start: 2023-04-24 00:00:00 end: 2024-04-29 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("GM-8 and ADX Strategy with Second EMA", overlay=true) // Input parameters gm_period = input(15, title="GM-15 Period") second_ema_period = input(59, title="Second EMA Period") adx_period = input(8, title="ADX Period") adx_threshold = input(34, title="ADX Threshold") lot_size = input.float(0.4, title="Lot Size") // Calculate the ADX manually adx(high, low, close, length) => sum_truerange = 0.0 sum_plusDM = 0.0 sum_minusDM = 0.0 for i = 1 to length truerange_calc = high[i] - low[i] truerange_prev_close = high[i] - close[i-1] truerange_close = low[i] - close[i-1] truerange_calc := truerange_prev_close > truerange_calc ? truerange_prev_close : truerange_calc truerange_calc := truerange_close > truerange_calc ? truerange_close : truerange_calc sum_truerange := sum_truerange + truerange_calc plusDM = high[i] - high[i-1] > low[i-1] - low[i] and high[i] - high[i-1] > 0 ? high[i] - high[i-1] : 0 sum_plusDM := sum_plusDM + plusDM minusDM = low[i-1] - low[i] > high[i] - high[i-1] and low[i-1] - low[i] > 0 ? low[i-1] - low[i] : 0 sum_minusDM := sum_minusDM + minusDM plusDI = sum_plusDM / sum_truerange * 100 minusDI = sum_minusDM / sum_truerange * 100 sumDI = plusDI + minusDI adx_value = 100 * (plusDI - minusDI) / (sumDI == 0 ? 1 : sumDI) // Calculate indicators gm_8 = ta.sma(close, gm_period) second_ema = ta.ema(close, second_ema_period) adx_value = adx(high, low, close, adx_period) // Define buy and sell conditions buy_condition = ta.crossover(close, gm_8) and close > gm_8 and close > second_ema and adx_value > adx_threshold sell_condition = ta.crossunder(close, gm_8) and close < gm_8 and close < second_ema and adx_value > adx_threshold // Entry and exit logic if (buy_condition) strategy.entry("Buy", strategy.long, qty=lot_size) if (sell_condition) strategy.entry("Sell", strategy.short, qty=lot_size) // Exit conditions exit_buy_condition = ta.crossunder(close, gm_8) and close < gm_8 exit_sell_condition = ta.crossover(close, gm_8) and close > gm_8 if (exit_buy_condition) strategy.close("Buy") if (exit_sell_condition) strategy.close("Sell")