//@version=6 strategy("Aggressive Bear Market Short Strategy - V6 Improved", overlay=true, initial_capital=10000, currency=currency.USD, default_qty_type=strategy.percent_of_equity, default_qty_value=10) // === INPUTS === // Trend Confirmation: SMA smaPeriod = input.int(title="SMA Period", defval=50, minval=1) // RSI Inputs rsiPeriod = input.int(title="RSI Period", defval=14, minval=1) rsiAggThreshold = input.int(title="Aggressive RSI Threshold", defval=60, minval=1, maxval=100) // MACD Inputs macdFast = input.int(title="MACD Fast Length", defval=12, minval=1) macdSlow = input.int(title="MACD Slow Length", defval=26, minval=1) macdSignalL = input.int(title="MACD Signal Length", defval=9, minval=1) // Bollinger Bands Inputs bbLength = input.int(title="Bollinger Bands Length", defval=20, minval=1) bbStdDev = input.float(title="BB StdDev Multiplier", defval=2.0, step=0.1) // Stochastic Inputs stochLength = input.int(title="Stochastic %K Length", defval=14, minval=1) stochSmooth = input.int(title="Stochastic %D Smoothing", defval=3, minval=1) stochAggThreshold = input.int(title="Aggressive Stochastic Threshold", defval=75, minval=1, maxval=100) // ADX Inputs (Manual Calculation) adxPeriod = input.int(title="ADX Period", defval=14, minval=1) adxAggThreshold = input.float(title="Aggressive ADX Threshold", defval=20.0, step=0.1) // Risk Management Inputs stopLossPercent = input.float(title="Stop Loss (%)", defval=0.5, step=0.1) takeProfitPercent = input.float(title="Take Profit (%)", defval=1.0, step=0.1) // Trailing Stop Option useTrailingStop = input.bool(title="Use Trailing Stop", defval=true) trailStopPercent = input.float(title="Trailing Stop (%)", defval=0.5, step=0.1) trailOffset = useTrailingStop ? trailStopPercent / 100 * close : na // === INDICATOR CALCULATIONS === // 1. SMA for trend confirmation. smaValue = ta.sma(close, smaPeriod) // 2. RSI measurement. rsiValue = ta.rsi(close, rsiPeriod) // 3. MACD Calculation. [macdLine, signalLine, _] = ta.macd(close, macdFast, macdSlow, macdSignalL) // 4. Bollinger Bands Calculation. bbBasis = ta.sma(close, bbLength) bbDev = bbStdDev * ta.stdev(close, bbLength) bbUpper = bbBasis + bbDev bbLower = bbBasis - bbDev // 5. Stochastic Oscillator. k = ta.stoch(close, high, low, stochLength) d = ta.sma(k, stochSmooth) // 6. Manual ADX Calculation (using Wilder’s smoothing): prevClose = nz(close[1], close) tr = math.max(high - low, math.max(math.abs(high - prevClose), math.abs(low - prevClose))) upMove = high - nz(high[1]) downMove = nz(low[1]) - low plusDM = (upMove > downMove and upMove > 0) ? upMove : 0 minusDM = (downMove > upMove and downMove > 0) ? downMove : 0 atr = ta.rma(tr, adxPeriod) smPlusDM = ta.rma(plusDM, adxPeriod) smMinusDM = ta.rma(minusDM, adxPeriod) plusDI = 100 * (smPlusDM / atr) minusDI = 100 * (smMinusDM / atr) dx = 100 * math.abs(plusDI - minusDI) / (plusDI + minusDI) adxValue = ta.rma(dx, adxPeriod) // === AGGRESSIVE SIGNAL CONDITIONS === // Mandatory Bearish Trend Condition: Price must be below the SMA. bearTrend = close < smaValue // MACD Condition: Enter if MACD is below its signal line. macdSignalFlag = macdLine < signalLine // RSI Condition: Enter if RSI is above the aggressive threshold. rsiSignalFlag = rsiValue > rsiAggThreshold // Bollinger Bands Condition: Enter if price is above the upper band (overextended rally). bbSignalFlag = close > bbUpper // Stochastic Condition: Trigger if %K crosses under the aggressive threshold. stochSignalFlag = ta.crossunder(k, stochAggThreshold) // ADX Condition: Confirm that trend strength is above the threshold. adxSignalFlag = adxValue > adxAggThreshold // Count the number of indicator signals present. signalCount = (macdSignalFlag ? 1 : 0) + (rsiSignalFlag ? 1 : 0) + (bbSignalFlag ? 1 : 0) + (stochSignalFlag ? 1 : 0) + (adxSignalFlag ? 1 : 0) // Require the bearish trend plus at least 3 indicator signals before entering. entryCondition = bearTrend and (signalCount >= 3) if entryCondition strategy.entry("Short", strategy.short) // === EXIT CONDITIONS === // For open short positions, set a defined stop loss and take profit. // The stop loss is placed above the entry price, and the take profit is below. // If enabled, a trailing stop is added. if strategy.position_size < 0 entryPrice = strategy.position_avg_price stopPrice = entryPrice * (1 + stopLossPercent / 100) targetPrice = entryPrice * (1 - takeProfitPercent / 100) strategy.exit("Exit Short", from_entry="Short", stop=stopPrice, limit=targetPrice, trail_offset=trailOffset) // === PLOTTING === plot(smaValue, color=color.orange, title="SMA") plot(bbUpper, color=color.blue, title="Bollinger Upper") plot(bbBasis, color=color.gray, title="Bollinger Basis") plot(bbLower, color=color.blue, title="Bollinger Lower") plot(adxValue, title="ADX", color=color.fuchsia) plot(rsiValue, title="RSI", color=color.purple) hline(rsiAggThreshold, title="Aggressive RSI Threshold", color=color.red)