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Dobromir Popov 2025-02-05 22:55:13 +02:00
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//@version=6
strategy("Versatile Bear Market Short Strategy - V6 (Manual ADX)", overlay=true, initial_capital=10000, currency=currency.USD, default_qty_type=strategy.percent_of_equity, default_qty_value=10)
// === INPUTS ===
// Trend Confirmation: Simple Moving Average
smaPeriod = input.int(title="SMA Period", defval=50, minval=1)
// Overbought Condition: RSI Parameters
rsiPeriod = input.int(title="RSI Period", defval=14, minval=1)
rsiOverbought = input.int(title="RSI Overbought Level", defval=60, 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)
macdSignal = 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)
stochOverbought = input.int(title="Stochastic Overbought Level", defval=80, minval=1, maxval=100)
// ADX Parameters (Manual Calculation)
adxPeriod = input.int(title="ADX Period", defval=14, minval=1)
adxThreshold = input.float(title="ADX Trend Strength Threshold", defval=25.0, 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)
// === INDICATOR CALCULATIONS ===
// 1. SMA for trend confirmation; price below this confirms a bearish market.
smaValue = ta.sma(close, smaPeriod)
// 2. RSI to check for overbought conditions.
rsiValue = ta.rsi(close, rsiPeriod)
// 3. MACD to catch momentum shifts.
[macdLine, signalLine, _] = ta.macd(close, macdFast, macdSlow, macdSignal)
// 4. Bollinger Bands to identify potential exhaustion in rallies.
bbBasis = ta.sma(close, bbLength)
bbDev = bbStdDev * ta.stdev(close, bbLength)
bbUpper = bbBasis + bbDev
bbLower = bbBasis - bbDev
// 5. Stochastic Oscillator (using %K) for additional overbought signals.
k = ta.stoch(close, high, low, stochLength)
d = ta.sma(k, stochSmooth)
// === MANUAL ADX CALCULATION ===
// Step 1: Calculate the True Range (TR)
prevClose = nz(close[1], close)
tr = math.max(high - low, math.max(math.abs(high - prevClose), math.abs(low - prevClose)))
// Step 2: Calculate directional movements (DM)
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
// Step 3: Smooth the values using Wilder's RMA (smoothed moving average)
atr = ta.rma(tr, adxPeriod)
smPlusDM = ta.rma(plusDM, adxPeriod)
smMinusDM = ta.rma(minusDM, adxPeriod)
// Step 4: Calculate the Directional Indicators (DI+ and DI-)
plusDI = 100 * (smPlusDM / atr)
minusDI = 100 * (smMinusDM / atr)
// Step 5: Compute the Directional Index (DX)
dx = 100 * math.abs(plusDI - minusDI) / (plusDI + minusDI)
// Step 6: Smooth DX to get ADX
adxValue = ta.rma(dx, adxPeriod)
// === ENTRY CONDITIONS FOR A SHORT POSITION ===
// Condition 1: Bear Trend Confirmation - Price is below the SMA.
bearTrend = close < smaValue
// Condition 2: Bollinger Bands - Price crosses under the upper band.
bbCondition = ta.crossunder(close, bbUpper)
// Condition 3: MACD - MACD line crosses below the signal line.
macdCondition = ta.crossunder(macdLine, signalLine)
// Condition 4: RSI - Check if RSI is overbought.
rsiCondition = rsiValue > rsiOverbought
// Condition 5: Stochastic - %K crosses under the overbought threshold.
stochCondition = ta.crossunder(k, stochOverbought)
// Condition 6: ADX - The market must have a strong trend.
adxCondition = adxValue > adxThreshold
// Combine all conditions for a short entry signal.
shortEntryCondition = bearTrend and bbCondition and macdCondition and rsiCondition and stochCondition and adxCondition
if shortEntryCondition
strategy.entry("Short", strategy.short)
// === EXIT CONDITIONS ===
// For open short positions, define a stop loss above and a take profit below the entry price.
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)
// === 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")
// Optional: Plot the manually calculated ADX.
plot(adxValue, title="ADX", color=color.fuchsia)