
Cette stratégie est un système de trading automatisé basé sur la gestion des positions croisées et dynamiques. Elle utilise les moyennes mobiles simples à 50 et 200 jours (SMA) comme indicateur principal, combinées à des ajustements de position dynamiques et à un mécanisme de suivi des arrêts de perte, pour rechercher des opportunités de négociation dans les tendances du marché.
La stratégie est basée sur les principes suivants:
La stratégie est construite en un système de négociation relativement complet par la combinaison d’un système homogène, une gestion de position dynamique et un mécanisme de suivi des arrêts. L’avantage de la stratégie est d’avoir une logique de négociation claire et un mécanisme de contrôle des risques parfait, mais il y a aussi des endroits où il faut optimiser.
/*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)