ملٹی انڈیکیٹر ڈائنامک اسٹاپ لاس مومنٹم ٹرینڈ ٹریڈنگ اسٹریٹجی

/*backtest
start: 2024-11-19 00:00:00
end: 2024-12-19 00:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
strategy("XRP/USDT Scalping Strategy", overlay=true)

// Input Parameters
emaShortLength = input.int(7, title="Short EMA Length")
emaLongLength = input.int(14, title="Long EMA Length")
rsiLength = input.int(7, title="RSI Length")
rsiOverbought = input.int(70, title="RSI Overbought Level") // Adjusted to 70 for broader range
rsiOversold = input.int(30, title="RSI Oversold Level") // Adjusted to 30 for broader range
macdFastLength = input.int(12, title="MACD Fast Length")
macdSlowLength = input.int(26, title="MACD Slow Length")
macdSignalLength = input.int(9, title="MACD Signal Length")
bbLength = input.int(20, title="Bollinger Bands Length")
bbStdDev = input.float(2.0, title="Bollinger Bands Standard Deviation") // Adjusted to 2.0 for better signal detection

// EMA Calculation
emaShort = ta.ema(close, emaShortLength)
emaLong = ta.ema(close, emaLongLength)

// RSI Calculation
rsi = ta.rsi(close, rsiLength)

// MACD Calculation
[macdLine, signalLine, _] = ta.macd(close, macdFastLength, macdSlowLength, macdSignalLength)
macdHistogram = macdLine - signalLine

// Bollinger Bands Calculation
basis = ta.sma(close, bbLength)
deviation = ta.stdev(close, bbLength)
bbUpper = basis + (bbStdDev * (deviation > 1e-5 ? deviation : 1e-5)) // Ensure robust Bollinger Band calculation
bbLower = basis - bbStdDev * deviation

// Volume Condition
volCondition = volume > ta.sma(volume, input.int(20, title="Volume SMA Period")) // Dynamic volume filter

// Trend Strength (ADX)
// True Range Calculation
tr = math.max(high - low, math.max(math.abs(high - close[1]), math.abs(low - close[1])))
// Directional Movement
plusDM = high - high[1] > low[1] - low ? math.max(high - high[1], 0) : 0
minusDM = low[1] - low > high - high[1] ? math.max(low[1] - low, 0) : 0
// Smooth Moving Averages
atr_custom = ta.rma(tr, 14)
plusDI = 100 * ta.rma(plusDM, 14) / atr_custom // Correct reference to atr_custom
minusDI = 100 * ta.rma(minusDM, 14) / atr_custom // Correct reference to atr_custom
// ADX Calculation
adx = plusDI + minusDI > 0 ? 100 * ta.rma(math.abs(plusDI - minusDI) / (plusDI + minusDI), 14) : na // Simplified ternary logic for ADX calculation // Prevent division by zero // Prevent division by zero // Final ADX
strongTrend = adx > 25

// Conditions for Buy Signal
emaBullish = emaShort > emaLong
rsiOversoldCondition = rsi < rsiOversold
macdBullishCrossover = ta.crossover(macdLine, signalLine)
priceAtLowerBB = close <= bbLower

buySignal = emaBullish and (rsiOversoldCondition or macdBullishCrossover or priceAtLowerBB) // Relaxed conditions by removing volCondition and strongTrend

// Conditions for Sell Signal
emaBearish = emaShort < emaLong
rsiOverboughtCondition = rsi > rsiOverbought
macdBearishCrossover = ta.crossunder(macdLine, signalLine)
priceAtUpperBB = close >= bbUpper

sellSignal = emaBearish and (rsiOverboughtCondition or macdBearishCrossover or priceAtUpperBB) // Relaxed conditions by removing volCondition and strongTrend

// Plot EMA Lines
trendColor = emaShort > emaLong ? color.green : color.red
plot(emaShort, color=trendColor, title="Short EMA (Trend)") // Simplified color logic
plot(emaLong, color=color.red, title="Long EMA")

// Plot Bollinger Bands
plot(bbUpper, color=color.blue, title="Upper BB")
plot(bbLower, color=color.blue, title="Lower BB")

// Plot Buy and Sell Signals
plot(emaBullish ? 1 : na, color=color.green, linewidth=1, title="Debug: EMA Bullish")
plot(emaBearish ? 1 : na, color=color.red, linewidth=1, title="Debug: EMA Bearish")
plot(rsiOversoldCondition ? 1 : na, color=color.orange, linewidth=1, title="Debug: RSI Oversold")
plot(rsiOverboughtCondition ? 1 : na, color=color.purple, linewidth=1, title="Debug: RSI Overbought")
plotshape(series=buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL", size=size.small) // Dynamic size for signals

// Strategy Execution with ATR-based Stop Loss and Take Profit
// Reuse atr_custom from earlier calculation
stopLoss = low - (input.float(1.5, title="Stop Loss Multiplier") * atr_custom) // Consider dynamic adjustment based on market conditions // Adjustable stop-loss multiplier
takeProfit = close + (2 * atr_custom)

if (buySignal)
    strategy.entry("Buy", strategy.long, stop=stopLoss) // Removed limit to simplify trade execution

if (sellSignal)
    strategy.close("Buy")