
Strategi ini adalah sistem pengesanan trend yang menggabungkan purata bergerak ganda dan penunjuk MACD. Ia menggunakan purata bergerak 50 dan 200 untuk menentukan arah trend, sambil menggunakan penunjuk MACD untuk menangkap masa masuk tertentu.
Logik utama strategi ini adalah berdasarkan kepada beberapa elemen utama:
Ini adalah sistem perdagangan trend yang dirancang dengan logik dan logik. Dengan menggabungkan petunjuk teknikal klasik dan kaedah pengurusan risiko moden, strategi ini memberi tumpuan kepada trend dan juga mengawal risiko. Walaupun terdapat beberapa tempat yang perlu dioptimumkan, secara keseluruhan adalah strategi perdagangan yang bernilai praktikal.
/*backtest
start: 2024-11-12 00:00:00
end: 2024-12-11 08:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © WolfofAlgo
//@version=5
strategy("Trend Following Scalping Strategy", overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=200)
// Input Parameters
stopLossPips = input.float(5.0, "Stop Loss in Pips", minval=1.0)
takeProfitPips = input.float(10.0, "Take Profit in Pips", minval=1.0)
useFixedTakeProfit = input.bool(true, "Use Fixed Take Profit")
// Moving Average Parameters
fastMA = input.int(50, "Fast MA Period")
slowMA = input.int(200, "Slow MA Period")
// MACD Parameters
macdFastLength = input.int(12, "MACD Fast Length")
macdSlowLength = input.int(26, "MACD Slow Length")
macdSignalLength = input.int(9, "MACD Signal Length")
// Trade Filter Parameters (Adjusted to be less strict)
minBarsBetweenTrades = input.int(5, "Minimum Bars Between Trades", minval=1)
trendStrengthPeriod = input.int(10, "Trend Strength Period")
minTrendStrength = input.float(0.4, "Minimum Trend Strength", minval=0.1, maxval=1.0)
macdThreshold = input.float(0.00005, "MACD Threshold", minval=0.0)
// Variables for trade management
var int barsLastTrade = 0
barsLastTrade := nz(barsLastTrade[1]) + 1
// Calculate Moving Averages
ma50 = ta.sma(close, fastMA)
ma200 = ta.sma(close, slowMA)
// Calculate MACD
[macdLine, signalLine, _] = ta.macd(close, macdFastLength, macdSlowLength, macdSignalLength)
// Calculate trend strength (simplified)
trendDirection = ta.ema(close, trendStrengthPeriod) > ta.ema(close, trendStrengthPeriod * 2)
isUptrend = close > ma50 and ma50 > ma200
isDowntrend = close < ma50 and ma50 < ma200
// Calculate pip value
pointsPerPip = syminfo.mintick * 10
// Entry Conditions with Less Strict Filters
macdCrossUp = ta.crossover(macdLine, signalLine) and math.abs(macdLine - signalLine) > macdThreshold
macdCrossDown = ta.crossunder(macdLine, signalLine) and math.abs(macdLine - signalLine) > macdThreshold
// Long and Short Conditions
longCondition = close > ma50 and macdCrossUp and barsLastTrade >= minBarsBetweenTrades and isUptrend
shortCondition = close < ma50 and macdCrossDown and barsLastTrade >= minBarsBetweenTrades and isDowntrend
// Exit Conditions (made more lenient)
exitLongCondition = macdCrossDown or close < ma50
exitShortCondition = macdCrossUp or close > ma50
// Reset bars counter on new trade
if (longCondition or shortCondition)
barsLastTrade := 0
// Calculate stop loss and take profit levels
longStopPrice = strategy.position_avg_price - (stopLossPips * pointsPerPip)
longTakeProfitPrice = strategy.position_avg_price + (takeProfitPips * pointsPerPip)
shortStopPrice = strategy.position_avg_price + (stopLossPips * pointsPerPip)
shortTakeProfitPrice = strategy.position_avg_price - (takeProfitPips * pointsPerPip)
// Plot Moving Averages
plot(ma50, "50 MA", color=color.blue)
plot(ma200, "200 MA", color=color.red)
// Plot Entry Signals
plotshape(longCondition, "Long Signal", shape.triangleup, location.belowbar, color.green, size=size.small)
plotshape(shortCondition, "Short Signal", shape.triangledown, location.abovebar, color.red, size=size.small)
// Strategy Entry Rules
if (longCondition and strategy.position_size == 0)
strategy.entry("Long", strategy.long)
if (shortCondition and strategy.position_size == 0)
strategy.entry("Short", strategy.short)
// Strategy Exit Rules
if (strategy.position_size > 0 and exitLongCondition)
strategy.close("Long")
if (strategy.position_size < 0 and exitShortCondition)
strategy.close("Short")
// Stop Loss and Take Profit Management
if (strategy.position_size > 0)
strategy.exit("Long TP/SL", "Long", stop=longStopPrice, limit=useFixedTakeProfit ? longTakeProfitPrice : na)
if (strategy.position_size < 0)
strategy.exit("Short TP/SL", "Short", stop=shortStopPrice, limit=useFixedTakeProfit ? shortTakeProfitPrice : na)
// Performance Metrics
var float totalTrades = 0
var float winningTrades = 0
var float totalProfitPips = 0
var float totalLossPips = 0
if (strategy.closedtrades > 0)
totalTrades := strategy.closedtrades
winningTrades := strategy.wintrades
totalProfitPips := strategy.grossprofit / pointsPerPip
totalLossPips := math.abs(strategy.grossloss) / pointsPerPip
// Display Stats
var label statsLabel = na
label.delete(statsLabel[1])
// Create performance stats text
var string stats = ""
if (strategy.closedtrades > 0)
winRate = (winningTrades / math.max(totalTrades, 1)) * 100
avgWin = totalProfitPips / math.max(winningTrades, 1)
avgLoss = totalLossPips / math.max(totalTrades - winningTrades, 1)
plRatio = avgWin / math.max(avgLoss, 1)
stats := "Win Rate: " + str.tostring(winRate, "#.##") + "%\n" +
"Avg Win: " + str.tostring(avgWin, "#.##") + " pips\n" +
"Avg Loss: " + str.tostring(avgLoss, "#.##") + " pips\n" +
"P/L Ratio: " + str.tostring(plRatio, "#.##") + "\n" +
"Total Trades: " + str.tostring(totalTrades, "#")
statsLabel := label.new(x=bar_index, y=high, text=stats, style=label.style_label_down, color=color.new(color.blue, 80))