The Renko ATR Trend Reversal Strategy is a unique trading approach that utilizes Renko charts in conjunction with Average True Range (ATR) indicator to identify trend reversal points in financial markets. By eliminating the repainting issue of Renko charts, this strategy is able to accurately capture turning points and provide clear signals for trading decisions.
The strategy first calculates the ATR value over a defined period and uses this ATR as the brick size for the Renko chart. New Renko bricks are drawn when price movements exceed one ATR. In this way, the Renko chart can automatically adapt to the volatility of the market, with larger brick sizes for higher volatility and smaller brick sizes for lower volatility periods.
A buy signal is generated when the open price of the Renko chart crosses below the close price. Conversely, a sell signal is generated when the open price crosses above the close price. These signals mark potential trend reversal points.
The strategy dynamically sets stop-loss and take-profit levels for each trade as a percentage of the Renko open price, based on user-defined input parameters. This controls the risk and reward for every trade.
By manually calculating the open and close prices, repainting is eliminated, making the signals more accurate and timely.
The ATR-based brick size allows the strategy to automatically adapt to different market volatility conditions.
The dynamic mechanism for setting stop loss and take profit levels allows better risk control based on market volatility.
The Renko chart filters out market noise and provides a clean visual for spotting trend reversals.
Users need to optimize parameters like ATR period, stop loss % and take profit % for different market environments. Poor parameter settings can degrade strategy performance.
Major news events or policy releases may cause rapid slippage beyond stop loss or take profit levels, leading to large losses.
In some cases, the signaled reversal pattern may fail to materialize, leading to losing trades.
Higher timeframes can be used to gauge the direction of the overall trend. Lower timeframes may filter out false signals.
Using momentum, volatility or other indicators in combination can enhance signal quality and avoid false signals.
Take profit ratios can be dynamically adjusted based on market volatility and the distance between entry price and current price.
The Renko ATR Trend Reversal Strategy successfully utilizes Renko charts with ATR indicator to automatically spot trend reversal points in financial markets. Key advantages include repainting elimination, auto-adaptivity to changing volatility, and dynamic stop loss/take profit. However, users need to be wary of parameter optimization risks, event risks and failed reversal risks. Further enhancements may include using multiple timeframes, combining other indicators, and dynamic take profit adjustment.
/*backtest start: 2024-01-01 00:00:00 end: 2024-01-31 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy(title='[tradinghook] - Renko Trend Reversal Strategy', shorttitle='[tradinghook] - Renko TRS', overlay=true ,initial_capital = 100, commission_value = 0.05, default_qty_value = 5) // INPUTS renkoATRLength = input.int(10, minval=1, title='ATR Length') stopLossPct = input.float(3, title='Stop Loss Percentage', step=0.1) takeProfitPct = input.float(20, title='Take Profit Percentage', step=0.1) startDate = input(timestamp("01 July 2023 00:00"), title="Start Date") endDate = input(timestamp("31 Dec 2025 23:59"), title="End Date") enableShorts = input.bool(true, title="Enable Shorts") var float stopLossPrice = na var float takeProfitPrice = na atr = ta.atr(renkoATRLength) // thanks to https://www.tradingview.com/script/2vKhpfVH-Renko-XZ/ for manually calculating renkoClose and renkoOpen in order to remove repaint getRenkoClose() => p1 = 0.0 p1 := close > nz(p1[1]) + atr ? nz(p1[1]) + atr : close < nz(p1[1]) - atr ? nz(p1[1]) - atr : nz(p1[1]) p1 Renko3() => p3 = 0.0 p3 := open > nz(p3[1]) + atr ? nz(p3[1]) + atr : open < nz(p3[1]) - atr ? nz(p3[1]) - atr : nz(p3[1]) p3 getRenkoOpen() => open_v = 0.0 Br_2 = Renko3() open_v := Renko3() != Renko3()[1] ? Br_2[1] : nz(open_v[1]) open_v renkoOpen = getRenkoOpen() renkoClose = getRenkoClose() // COLORS colorGreen = #089981 colorRed = #F23645 bgTransparency = 95 bgColorRed = color.new(colorRed, bgTransparency) bgColorGreen = color.new(colorGreen, bgTransparency) lineColor = renkoClose < renkoOpen ? colorRed : colorGreen bgColor = renkoClose < renkoOpen ? bgColorRed : bgColorGreen // PLOTS plot(renkoOpen, title="Renko Open", style=plot.style_line, linewidth=2, color=lineColor) bgcolor(bgColor) // SIGNALS isWithinTimeRange = true buySignal = ta.crossunder(renkoOpen, renkoClose) and isWithinTimeRange sellSignal = ta.crossover(renkoOpen, renkoClose) and isWithinTimeRange and enableShorts if (buySignal) stopLossPrice := renkoOpen * (1 - stopLossPct / 100) takeProfitPrice := renkoOpen * (1 + takeProfitPct / 100) strategy.entry("Long", strategy.long) strategy.exit("ExitLong", "Long", stop = stopLossPrice, limit = takeProfitPrice, comment="SL: " + str.tostring(stopLossPrice) + ", TP: " + str.tostring(takeProfitPrice)) if (sellSignal) stopLossPrice := renkoOpen * (1 + stopLossPct / 100) takeProfitPrice := renkoOpen * (1 - takeProfitPct / 100) strategy.entry("Short", strategy.short) strategy.exit("ExitShort", "Short", stop = stopLossPrice, limit = takeProfitPrice, comment="SL: " + str.tostring(stopLossPrice) + ", TP: " + str.tostring(takeProfitPrice))