//@version=6
strategy("Aggressive Bear Market Short Strategy - V6 (Aggressive Conditions)", overlay=true, initial_capital=10000, currency=currency.USD, default_qty_type=strategy.percent_of_equity, default_qty_value=2) // Reduced position size

// === INPUTS ===
// Trend Confirmation: Simple Moving Average
smaPeriod = input.int(title="SMA Period", defval=50, minval=1)

// RSI Parameters
rsiPeriod = input.int(title="RSI Period", defval=14, minval=1)
rsiAggThreshold = input.int(title="Aggressive RSI Threshold", defval=50, minval=1, maxval=100)

// MACD Parameters
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 Parameters
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 Oscillator Parameters
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=70, minval=1, maxval=100)

// ADX Parameters
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
stopLossPercent = input.float(title="Stop Loss (%)", defval=0.5, step=0.1)
takeProfitPercent = input.float(title="Take Profit (%)", defval=0.3, step=0.1)
trailingStopPercent = input.float(title="Trailing Stop (%)", defval=0.3, step=0.1)

// === INDICATOR CALCULATIONS ===

// 1. SMA for overall trend determination.
smaValue = ta.sma(close, smaPeriod)

// 2. RSI calculation.
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 calculation.
k = ta.stoch(close, high, low, stochLength)
d = ta.sma(k, stochSmooth)

// 6. ADX calculation.
[diPlus, diMinus, adxValue] = ta.adx(high, low, close, adxPeriod) // Using built-in function

// === AGGRESSIVE SIGNAL CONDITIONS ===

// Mandatory Bearish Condition: Price must be below the SMA.
bearTrend = close < smaValue

// Aggressive MACD Condition
macdSignalFlag = macdLine < signalLine

// Aggressive RSI Condition
rsiSignalFlag = rsiValue > rsiAggThreshold

// Aggressive Bollinger Bands Condition
bbSignalFlag = close > bbUpper

// Aggressive Stochastic Condition
stochSignalFlag = ta.crossunder(k, stochAggThreshold)

// Aggressive ADX Condition
adxSignalFlag = adxValue > adxAggThreshold

// Count the number of indicator signals that are true (Weighted).
signalWeight = 0.0
if macdSignalFlag
    signalWeight := signalWeight + 0.25
if rsiSignalFlag
    signalWeight := signalWeight + 0.15
if bbSignalFlag
    signalWeight := signalWeight + 0.2
if stochSignalFlag
    signalWeight := signalWeight + 0.15
if adxSignalFlag
    signalWeight := signalWeight + 0.25

// Take a short position if the bear market condition is met and the signal weight is high enough.
if bearTrend and (signalWeight >= 0.5)
    strategy.entry("Short", strategy.short)

// === EXIT CONDITIONS ===
// Dynamic Trailing Stop Loss
if strategy.position_size < 0
    strategy.exit("Exit Short", from_entry = "Short", stop = math.max(strategy.position_avg_price * (1 + stopLossPercent / 100), high - high * trailingStopPercent / 100), limit= strategy.position_avg_price * (1 - takeProfitPercent / 100))


// === PLOTTING ===
plot(smaValue, color=color.orange, title="SMA")
plot(bbUpper, color=color.blue, title="Bollinger Upper Band")
plot(bbBasis, color=color.gray, title="Bollinger Basis")
plot(bbLower, color=color.blue, title="Bollinger Lower Band")
plot(adxValue, title="ADX", color=color.fuchsia)

// Optional: Plot RSI and a horizontal line at the aggressive RSI threshold.
plot(rsiValue, title="RSI", color=color.purple)
hline(rsiAggThreshold, title="Aggressive RSI Threshold", color=color.red)