ATR Volatility Power Strategy

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © HayashiHitsuji

//@version=5
strategy("STRATEGY: ATR Volatility Power (林19)", shorttitle = "ATR Volatility Power (林19)", overlay = false, format = format.price, pyramiding = 0, default_qty_type = strategy.cash, default_qty_value = 100, currency = currency.USD, slippage = 1, process_orders_on_close = true, initial_capital = 100)

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// INDICATOR INPUT =============================================================
atr_period  = input.int(14, "ATR Value")
atr_low     = input.int(200, "ATR Lowest Value")
atr_smooth  = input.int(9, "ATR Smooth")
break_per   = input.int(9, "ATR Breakout Value")
// ========================================================================== //

// INDICATOR CALCULATION =======================================================
atr         = ta.atr(atr_period)
atr_lowest  = ta.lowest(atr, atr_low)
atr         := ta.sma(atr - atr_lowest, atr_smooth)

atr_break   = ta.lowest(atr, break_per)
// ========================================================================== //

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// INDICATOR CONDITION & COLOR =================================================
atr_color   = atr[1] < atr ? color.lime : color.red
break_color = atr == atr_break ? color.blue : color.white
// ========================================================================== //

// INDICATOR PLOT ==============================================================
plot(atr, color = atr_color, style = plot.style_columns)
plot(atr_break, color = break_color, style = plot.style_circles, linewidth = 2)
// ========================================================================== //

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// Strategy Algo
long_entry  = close[1] < close[2] and close[0] > close[1] and atr[0] > atr[1] //and close > ta.ema(close, 200)
short_entry = close[1] > close[2] and close[0] < close[1] and atr[0] > atr[1] //and close < ta.ema(close, 200)

long_tp     = close[1] > close[2] and close[0] < close[1] and atr[0] > atr[1]
short_tp    = close[1] < close[2] and close[0] > close[1] and atr[0] > atr[1]

// long_sl     = ta.crossunder(rsi, rsi_sl_long)
// short_sl    = ta.crossover(rsi, rsi_sl_short)

// Strategy Execution
strategy.entry("enter long", strategy.long, when = long_entry)
strategy.entry("enter short", strategy.short, when = short_entry)

// strategy.exit("exit long", "enter long", profit = 50000)
// strategy.exit("exit short", "enter short", profit = 50000)

strategy.close("enter long", when = long_tp, qty_percent = 100, comment = "take profit slong")
strategy.close("enter short", when = short_tp, qty_percent = 100, comment = "take profit short")

// strategy.close("enter long", when = rsi_stop ? long_sl : na, qty_percent = 100, comment = "stop loss slong")
// strategy.close("enter short", when = rsi_stop ? short_sl : na, qty_percent = 100, comment = "stop loss short")

// bgcolor(buy_sell ? color.new(long_entry ? color.green : short_entry ? color.red : na, 85) : na)