This strategy utilizes two indicators, ATR (Average True Range) and EMA (Exponential Moving Average), to dynamically adjust take profit and stop loss levels in order to adapt to market volatility. The main idea of the strategy is to use the ATR indicator to measure market volatility and set take profit and stop loss levels based on the magnitude of volatility. At the same time, the EMA indicator is used to determine the trading direction. When the price breaks above the EMA, a long position is opened, and when the price breaks below the EMA, a short position is opened. This strategy can automatically adjust take profit and stop loss levels according to changes in market volatility, thereby achieving the purpose of dynamic risk control.
This strategy utilizes the ATR and EMA indicators to dynamically adjust take profit and stop loss levels to adapt to changes in market volatility, while using the EMA indicator to determine the trading direction. The strategy has strong adaptability and trend-following capabilities, but may face certain risks in parameter settings, oscillating markets, and trend reversals. In the future, the performance of the strategy can be improved by introducing more technical indicators, optimizing take profit and stop loss algorithms, parameter optimization, and adding position management modules.
/*backtest start: 2024-04-27 00:00:00 end: 2024-05-27 00:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"ETH_USDT"}] */ //@version=5 strategy(title='UT MB&SS Bot', overlay=true) // Inputs a = input(1, title='Key Value. \'This changes the sensitivity\'') c = input(10, title='ATR Period') h = input(false, title='Signals from Heikin Ashi Candles') stoploss = input(2.0, title='Stop Loss (ATR Multiples)') xATR = ta.atr(c) nLoss = a * xATR src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead=barmerge.lookahead_off) : close var xATR_trailing_stop = 0.0 iff_1 = src > nz(xATR_trailing_stop[1], 0) ? src - nLoss : src + nLoss iff_2 = src < nz(xATR_trailing_stop[1], 0) and src[1] < nz(xATR_trailing_stop[1], 0) ? math.min(nz(xATR_trailing_stop[1]), src + nLoss) : iff_1 xATR_trailing_stop := src > nz(xATR_trailing_stop[1], 0) and src[1] > nz(xATR_trailing_stop[1], 0) ? math.max(nz(xATR_trailing_stop[1]), src - nLoss) : iff_2 pos = 0 iff_3 = src[1] > nz(xATR_trailing_stop[1], 0) and src < nz(xATR_trailing_stop[1], 0) ? -1 : nz(pos[1], 0) pos := src[1] < nz(xATR_trailing_stop[1], 0) and src > nz(xATR_trailing_stop[1], 0) ? 1 : iff_3 xcolor = pos == -1 ? color.red : pos == 1 ? color.green : color.blue ema = ta.ema(src, 1) above = ta.crossover(ema, xATR_trailing_stop) below = ta.crossover(xATR_trailing_stop, ema) buy = src > xATR_trailing_stop and above sell = src < xATR_trailing_stop and below barbuy = src > xATR_trailing_stop barsell = src < xATR_trailing_stop plotshape(buy, title='Buy', text='Buy', style=shape.labelup, location=location.belowbar, color=color.new(color.green, 0), textcolor=color.new(color.white, 0), size=size.tiny) plotshape(sell, title='Sell', text='Sell', style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 0), textcolor=color.new(color.white, 0), size=size.tiny) barcolor(barbuy ? color.green : na) barcolor(barsell ? color.red : na) stop_level = pos == 1 ? xATR_trailing_stop - stoploss * xATR : xATR_trailing_stop + stoploss * xATR stop_level := math.max(stop_level, nz(stop_level[1])) if pos == 1 strategy.exit('Exit Long', 'UT Long', stop=stop_level) else if pos == -1 strategy.exit('Exit Short', 'UT Short', stop=stop_level) if buy strategy.entry("Enter Long", strategy.long) else if sell strategy.entry("Enter Short", strategy.short)template: strategy.tpl:40:21: executing "strategy.tpl" at <.api.GetStrategyListByName>: wrong number of args for GetStrategyListByName: want 7 got 6