The RSI Golden Cross Short strategy utilizes ATR bands, double RSI indicators and golden cross of EMAs to identify trends and entries. The ATR bands determine overbought/oversold levels, double RSI indicators confirm the trend, and EMA crossovers identify opportunity for entries. This simple yet flexible short strategy can be highly effective for profit.
This strategy combines ATR bands, double RSI indicators and EMA lines to generate entry signals. When price opens above the upper ATR band indicating overbought levels, and the faster RSI crosses below slower RSI showing trend reversal from bullish to bearish, together with a death cross occuring in EMAs suggesting weakening trend, we have a strong signal for short entry.
Specifically, when the opening price is above the upper ATR band i.e. open > upper_band
, the asset may be overbought. Then we check if the fast RSI is less than slow RSI i.e. rsi1 < rsi2
, suggesting the trend is turning from bullish to bearish. Finally we detect if a death cross happens in EMAs i.e. ta.crossover(longSMA, shortSMA)
occurs. If all three conditions are met, a short entry signal is triggered.
Conversely, if price opens below lower ATR band, fast RSI crosses above slow RSI, and a golden cross forms in EMAs, a long entry signal is generated.
The key innovation of this strategy is the introduction of double RSI indicators for better trend identification. Compared to a single RSI, the reliability is higher. Together with the ATR bands and EMA filters, the entry signals become more accurate and reliable. This is the core strength of the strategy.
The advantages of this strategy include:
Some risks to note:
The risks can be addressed by:
The strategy can be further improved by:
These opportunities can make the strategy more stable, flexible and profitable.
Overall, the RSI Golden Cross Short strategy is a highly effective short-term short strategy. It combines multiple indicators to generate entry signals, and is adjustable across assets and markets. Its novelty lies in using double RSI for trend identification, validated by ATR bands and EMA crossovers. This produces high-accuracy entry signals. The strategy has immense practical utility for investors, if risks are monitored and parameters optimized continually through testing. It has the potential to become a powerful profit engine in the trader’s arsenal.
/*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 //Revision: Updated script to pine script version 5 //added Double RSI for Long/Short prosition trend confirmation instead of single RSI strategy("Super Scalper - 5 Min 15 Min", overlay=true) source = close atrlen = input.int(14, "ATR Period") mult = input.float(1, "ATR Multi", step=0.1) smoothing = input.string(title="ATR Smoothing", defval="WMA", options=["RMA", "SMA", "EMA", "WMA"]) ma_function(source, atrlen) => if smoothing == "RMA" ta.rma(source, atrlen) else if smoothing == "SMA" ta.sma(source, atrlen) else if smoothing == "EMA" ta.ema(source, atrlen) else ta.wma(source, atrlen) atr_slen = ma_function(ta.tr(true), atrlen) upper_band = atr_slen * mult + close lower_band = close - atr_slen * mult // Create Indicator's ShortEMAlen = input.int(5, "Fast EMA") LongEMAlen = input.int(21, "Slow EMA") shortSMA = ta.ema(close, ShortEMAlen) longSMA = ta.ema(close, LongEMAlen) RSILen1 = input.int(40, "Fast RSI Length") RSILen2 = input.int(60, "Slow RSI Length") rsi1 = ta.rsi(close, RSILen1) rsi2 = ta.rsi(close, RSILen2) atr = ta.atr(atrlen) //RSI Cross condition RSILong = rsi1 > rsi2 RSIShort = rsi1 < rsi2 // Specify conditions longCondition = open < lower_band shortCondition = open > upper_band GoldenLong = ta.crossover(shortSMA, longSMA) Goldenshort = ta.crossover(longSMA, shortSMA) plotshape(shortCondition, title="Sell Label", text="S", location=location.abovebar, style=shape.labeldown, size=size.tiny, color=color.new(color.red, 0), textcolor=color.white) plotshape(longCondition, title="Buy Label", text="B", location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.new(color.green, 0), textcolor=color.white) plotshape(Goldenshort, title="Golden Sell Label", text="Golden Crossover Short", location=location.abovebar, style=shape.labeldown, size=size.tiny, color=color.new(color.blue, 0), textcolor=color.white) plotshape(GoldenLong, title="Golden Buy Label", text="Golden Crossover Long", location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.new(color.yellow, 0), textcolor=color.white) // Execute trade if condition is True if (longCondition) stopLoss = low - atr * 1 takeProfit = high + atr * 4 if (RSILong) strategy.entry("long", strategy.long) if (shortCondition) stopLoss = high + atr * 1 takeProfit = low - atr * 4 if (RSIShort) strategy.entry("short", strategy.short) // Plot ATR bands to chart ////ATR Up/Low Bands plot(upper_band) plot(lower_band) // Plot Moving Averages plot(shortSMA, color=color.red) plot(longSMA, color=color.yellow)