MACD

23 Tem 2023

//version=5
strategy("custom_strategy", overlay=true)

// Define input parameters
atr_length = 14
risk_to_reward_ratio = 0.1
stop_loss_multiplier = 2
trail_stop_multiplier = 1

// Calculate ATR value
atr_value = ta.atr(atr_length)

// Calculate stop loss levels
fix_stop_loss = close * (1 - risk_to_reward_ratio)
atr_stop_loss = strategy.position_avg_price - atr_value * stop_loss_multiplier

// Calculate trail stop level
trail_stop = strategy.position_avg_price - atr_value * trail_stop_multiplier

// Entry Logic - Replace {tulis nama indicator disini} with your desired indicator logic
entry_condition = ta.sma(close, 50) > ta.sma(close, 200)

// Exit Logic
exit_long = strategy.position_avg_price <= fix_stop_loss or low <= atr_stop_loss
exit_short = strategy.position_avg_price >= fix_stop_loss or high >= atr_stop_loss

// Trail Stop Logic
trail_stop_long = close >= trail_stop
trail_stop_short = close <= trail_stop

// Submit entry orders
if entry_condition
strategy.entry("Buy", strategy.long)
if entry_condition
strategy.entry("Sell", strategy.short)

// Submit exit orders
strategy.exit("Exit Buy", "Buy", stop = fix_stop_loss, trail_offset = atr_value * trail_stop_multiplier, trail_price = trail_stop_long)
strategy.exit("Exit Sell", "Sell", stop = fix_stop_loss, trail_offset = atr_value * trail_stop_multiplier, trail_price = trail_stop_short)

// Plot ATR value for reference
plot(atr_value, color=color.red)