This trading strategy combines multiple indicators including RSI, Stochastic, Bollinger Bands and SuperTrend to generate trading signals.
Specifically, it considers RSI above 50 and Stochastic K value above D as bullish signals. Price below SuperTrend represents an uptrend, and SuperTrend below BB middle band forms the long signal.
Conversely, RSI below 50 and Stochastic K below D gives bearish signals. Price above SuperTrend shows a downtrend, and SuperTrend above BB middle band creates the short signal.
The multi-indicator combo serves as an effective filter to improve signal reliability. The strategy also sets stop loss and take profit conditions to control risk.
However, combining indicators also introduces lag, potentially missing optimal entries. Live tuning of parameters is still required, along with monitoring overall economic impacts. Comprehensive risk management is crucial for long-term steady profits.
/*backtest
start: 2023-01-01 00:00:00
end: 2023-03-10 00:00:00
period: 45m
basePeriod: 5m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © rajm14
//@version=5
strategy(title = "Golden Swing Strategy - Souradeep Dey", shorttitle = "GSS", overlay = true, process_orders_on_close = true, default_qty_type = strategy.cash, default_qty_value=100000, currency = currency.USD)
// Indicator - RSI - 20
rsiSrc = input(defval = close, title = "RSI Source")
rsiLen = input.int(defval = 20, title = "RSI Length", minval = 0, maxval = 200, step = 1)
rsi = ta.rsi(rsiSrc, rsiLen)
//plot(rsi)
// Indicator - Stochastic (55,34,21)
kLength = input.int(defval = 55, title="Stoch %K Length", minval=1)
kSmooth = input.int(defval = 34, title="Stoch %K Smoothing", minval=1)
dLength = input.int(defval = 21, title="Stoch %D Smoothing", minval=1)
kLine = ta.sma(ta.stoch(close, high, low, kLength), kSmooth)
dLine = ta.sma(kLine, dLength)
// plot(kLine, color=color.red)
// plot(dLine, color=color.green)
// Indicator - ATR(5)
atrLength = input(5, "ATR Length")
atr = ta.atr(5)
// plot(atr)
// Indicator - SuperTrend(10,2)
atrPeriod = input(10, "SuperTrend ATR Length")
stSrc = hl2
stfactor = input.float(2.0, "SuperTrend Multiplier", step = 0.1)
stAtr = ta.atr(atrPeriod)
[supertrend, direction] = ta.supertrend(stfactor, atrPeriod)
bodyMiddle = (open + close) / 2
upTrend = direction < 0 ? supertrend : na
downTrend = direction < 0? na : supertrend
// plot(bodyMiddle, display=display.none)
// plot(upTrend)
// plot(downTrend)
// Indicator - Bollinger Bands (20,2)
bblength = input.int(defval = 20, title = "BB Length")
bbsource = input(defval = close, title = "BB Source")
bbStdDev = input.float(defval = 2.0, title = "BB Std Dev", step = 0.1)
bbmultiplier = bbStdDev * ta.stdev(bbsource, bblength)
bbMband = ta.sma(bbsource, bblength)
bbUband = bbMband + bbmultiplier
bbLband = bbMband - bbmultiplier
// plot (bbUband, color = color.red, linewidth = 2)
// plot (bbMband, color = color.black, linewidth = 2)
// plot (bbLband, color = color.green, linewidth = 2)
// Trade Entry
LongEntry = rsi >= 50 and kLine > dLine and low < supertrend and direction < 0 and supertrend < bbMband
ShortEntry = rsi <= 50 and kLine < dLine and high > supertrend and direction > 0 and supertrend > bbMband
plotshape(LongEntry, style = shape.triangleup, text = "Long", location = location.belowbar, size = size.large, color = color.green)
plotshape(ShortEntry, style = shape.triangledown, text = "Short", location = location.abovebar, size = size.large, color = color.red)
//Trade execution
if LongEntry
strategy.entry(id = "Buy", direction = strategy.long, limit = close * .5 * atr)
closelong = close >= strategy.position_avg_price * 2.2 * atr
stoplong = close <= strategy.position_avg_price * 1.1 * atr
if closelong
strategy.close(id = "Buy")
if stoplong
strategy.close(id = "Buy")
if ShortEntry
strategy.entry(id = "Sell", direction = strategy.long, limit = close * .5 * atr)
closeshort = close <= strategy.position_avg_price * 2.2 * atr
stopshort = close >= strategy.position_avg_price * 1.1 * atr
if closeshort
strategy.close(id = "Sell")
if stopshort
strategy.close(id = "Sell")