
Strategi ini adalah sistem perdagangan otomatis yang didasarkan pada crossover rata-rata dan manajemen posisi dinamis. Ini menggunakan rata-rata bergerak sederhana 50-hari dan 200-hari (SMA) sebagai indikator utama, digabungkan dengan penyesuaian posisi dinamis dan mekanisme tracking stop loss, untuk mencari peluang perdagangan dalam tren pasar.
Strategi ini didasarkan pada prinsip-prinsip inti berikut:
Strategi ini membangun sistem perdagangan yang relatif lengkap dengan menggabungkan sistem linear, manajemen posisi dinamis, dan mekanisme tracking stop loss. Keunggulan strategi ini adalah memiliki logika perdagangan yang jelas dan mekanisme kontrol risiko yang baik, tetapi ada juga beberapa tempat yang perlu dioptimalkan. Dengan perbaikan dan pengoptimalan terus menerus, strategi ini diharapkan dapat berkinerja lebih baik dalam perdagangan nyata.
/*backtest
start: 2024-02-22 00:00:00
end: 2025-02-19 08:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Binance","currency":"SOL_USDT"}]
*/
//@version=5
strategy("15m - Rebound 50SMA with Dynamic Lots & Trailing Stop, RRR 2:1, Date Filter (Closed Bars Only)",
overlay=true,
initial_capital=50000,
default_qty_type=strategy.fixed,
default_qty_value=1,
pyramiding=0,
calc_on_order_fills=true)
// ===== INPUTS =====
sma50Period = input.int(50, "50 SMA Period", minval=1)
sma200Period = input.int(200, "200 SMA Period", minval=1)
// ===== CALCULATE SMAs =====
sma50 = ta.sma(close, sma50Period)
sma200 = ta.sma(close, sma200Period)
// ===== PLOT SMAs =====
plot(sma50, color=color.red, title="50 SMA")
plot(sma200, color=color.blue, title="200 SMA")
// ===== DEFINE TRADING SESSIONS =====
// Trading is allowed 15 minutes after market open:
// - New York: 09:45–16:00 (America/New_York)
// - London: 08:15–16:00 (Europe/London)
nySession = not na(time("15", "0945-1600", "America/New_York"))
londonSession = not na(time("15", "0815-1600", "Europe/London"))
inSession = nySession or londonSession
// ===== DEFINE DATE RANGE =====
// Only allow orders on or after January 1, 2024.
// (We include seconds in the timestamp for proper parsing.)
startDate = timestamp("UTC", 2024, 1, 1, 0, 0, 0)
inDateRange = time >= startDate
// ===== DEFINE ENTRY CONDITIONS =====
// ----- LONG ENTRY CONDITION -----
// A long entry is triggered when:
// - The previous candle closed below the 50 SMA and the current candle closes above it,
// - And the 50 SMA is above the 200 SMA.
longCondition = (close[1] < sma50[1]) and (close > sma50) and (sma50 > sma200)
// ----- SHORT ENTRY CONDITION -----
// A short entry is triggered when:
// - The previous candle closed above the 50 SMA and the current candle closes below it,
// - And the 50 SMA is below the 200 SMA.
shortCondition = (close[1] > sma50[1]) and (close < sma50) and (sma50 < sma200)
// ===== DEBUG PLOTS =====
plotshape(longCondition and barstate.isconfirmed, title="Long Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.tiny)
plotshape(shortCondition and barstate.isconfirmed, title="Short Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.tiny)
// ===== VARIABLES FOR STOP LOSS MANAGEMENT =====
// For long positions.
var float initialLongStop = na // Set at entry: low of the rebound candle.
var float trailStopLong = na // Updated trailing stop for long.
// For short positions.
var float initialShortStop = na // Set at entry: high of the rebound candle.
var float trailStopShort = na // Updated trailing stop for short.
// ===== DYNAMIC LOT SIZE =====
// If current profit (strategy.equity - 50000) exceeds 4000, lot size becomes 3; otherwise, 2.
lotSize = (strategy.equity - 50000 > 4000) ? 3 : 2
// ===== ENTRY LOGIC (EXECUTED ON CONFIRMED BARS) =====
if barstate.isconfirmed and inSession and inDateRange and longCondition and strategy.position_size <= 0
initialLongStop := low
trailStopLong := initialLongStop
if strategy.position_size < 0
strategy.close("Short", comment="Close Short before Long")
// Submit a market order entry (no offset).
strategy.entry("Long", strategy.long, qty=lotSize, comment="Enter Long")
if barstate.isconfirmed and inSession and inDateRange and shortCondition and strategy.position_size >= 0
initialShortStop := high
trailStopShort := initialShortStop
if strategy.position_size > 0
strategy.close("Long", comment="Close Long before Short")
// Submit a market order entry (no offset).
strategy.entry("Short", strategy.short, qty=lotSize, comment="Enter Short")
// ===== TRAILING STOP LOGIC & EXIT ORDERS (ON CLOSED BARS) =====
if barstate.isconfirmed and strategy.position_size > 0
// For Long Positions:
floatingProfitLong = (close - strategy.position_avg_price) / syminfo.mintick
newTrailLong = trailStopLong // Default: no change.
if floatingProfitLong >= 20 and floatingProfitLong < 30
newTrailLong := initialLongStop + 5 * syminfo.mintick
else if floatingProfitLong >= 31 and floatingProfitLong < 40
newTrailLong := initialLongStop + 10 * syminfo.mintick
else if floatingProfitLong >= 41 and floatingProfitLong < 50
newTrailLong := initialLongStop + 15 * syminfo.mintick
// Update trailing stop only if the new value is more favorable.
trailStopLong := math.max(trailStopLong, newTrailLong)
longRisk = strategy.position_avg_price - trailStopLong
tpLong = strategy.position_avg_price + 2.5 * longRisk
strategy.exit("Exit Long", from_entry="Long", stop=trailStopLong, limit=tpLong)
if barstate.isconfirmed and strategy.position_size < 0
// For Short Positions:
floatingProfitShort = (strategy.position_avg_price - close) / syminfo.mintick
newTrailShort = trailStopShort // Default: no change.
if floatingProfitShort >= 20 and floatingProfitShort < 30
newTrailShort := initialShortStop - 5 * syminfo.mintick
else if floatingProfitShort >= 31 and floatingProfitShort < 40
newTrailShort := initialShortStop - 10 * syminfo.mintick
else if floatingProfitShort >= 41 and floatingProfitShort < 50
newTrailShort := initialShortStop - 15 * syminfo.mintick
// Update trailing stop only if the new value is more favorable.
trailStopShort := math.min(trailStopShort, newTrailShort)
shortRisk = trailStopShort - strategy.position_avg_price
tpShort = strategy.position_avg_price - 2.5 * shortRisk
strategy.exit("Exit Short", from_entry="Short", stop=trailStopShort, limit=tpShort)