Multi Timeframe MACD Heatmap Strategi

Penulis:ChaoZhang, Tarikh: 2023-10-25 15:21:39
Tag:

img

Ringkasan

Idea teras strategi ini adalah untuk menggunakan gabungan isyarat penunjuk MACD dari pelbagai jangka masa yang berbeza untuk menentukan masa perubahan trend dan melaksanakan trend berisiko rendah selepas perdagangan.

Logika Strategi

  1. Strategi ini menggunakan 5 penunjuk MACD dari bingkai masa yang berbeza, termasuk 60min, 120min, 240min, 480min dan Daily, membentuk gabungan pelbagai bingkai masa penunjuk MACD.

  2. Apabila semua 5 MACD positif (atau negatif) dan bar sebelumnya bukan semua positif (atau negatif) MACD, ia ditentukan sebagai isyarat panjang (atau pendek) dan pergi panjang (atau pendek).

  3. Kaedah stop loss adalah pips stop loss tetap.

  4. Kaedah mengambil keuntungan adalah dua peringkat penangguhan, menutup sebahagian dan semua kedudukan secara berasingan.

  5. Apabila penunjuk MACD menunjukkan satu situasi panjang dan satu pendek, ia dinilai sebagai pembalikan isyarat dan menutup kedudukan semasa.

  6. TsL juga digunakan untuk penangguhan stop loss.

  7. Apabila mencapai sasaran keuntungan tertentu, stop loss akan bergerak untuk memecahkan impas, mengunci keuntungan.

  8. Sintaks Pineconector digunakan untuk menjana amaran isyarat perdagangan secara dinamik.

Kelebihan

  1. Gabungan MACD pelbagai jangka masa dapat meningkatkan ketepatan isyarat, menangkap trend besar dan menapis beberapa bunyi bising.

  2. Keuntungan mengambil dua peringkat membolehkan mengambil keuntungan separa beberapa kali semasa trend besar.

  3. Stop loss pips tetap boleh mengawal jumlah kerugian perdagangan tunggal.

  4. Penutupan apabila MACD tidak konsisten boleh merealisasikan stop loss tepat pada masanya dan mengelakkan stop loss break.

  5. TsL trailing stop mengikuti perubahan harga dalam masa nyata.

  6. SL ke BE mengunci beberapa keuntungan selepas mengubah kedudukan kehilangan menjadi kedudukan yang menang.

  7. Amaran perdagangan dinamik boleh disambungkan ke MT4/5 untuk perdagangan automatik.

Risiko dan Penyelesaian

  1. Sinyal MACD mungkin mempunyai pecah palsu, menyebabkan kerugian yang tidak perlu.

  2. Pips stop loss tetap mungkin terlalu besar atau terlalu kecil. Uji tahap yang berbeza untuk mencari parameter optimum.

  3. Dua tahap mengambil keuntungan mungkin terlalu dekat atau terlalu jauh. Uji tahap yang berbeza untuk mencari parameter optimum.

  4. Timbul BE mungkin terlalu awal atau terlalu lewat. Uji titik pemicu BE yang berbeza untuk mencari parameter optimum.

  5. Jarak hentian boleh terlalu besar atau terlalu kecil. Uji jarak yang berbeza untuk mencari parameter optimum.

Arahan pengoptimuman

  1. Uji lebih banyak jangka masa gabungan MACD untuk mencari kombinasi terbaik untuk menangkap trend pasaran.

  2. Memperkenalkan lebih banyak penunjuk untuk menentukan keadaan pasaran, mengelakkan membuka kedudukan semasa keadaan yang tidak baik.

  3. Penyelidikan perbezaan parameter antara produk, mereka bentuk sistem stop loss adaptif dan mengambil keuntungan.

  4. Menggabungkan teknik pembelajaran mesin untuk pengoptimuman parameter dinamik.

  5. Memperkenalkan saiz kedudukan untuk pelarasan dinamik saiz kedudukan dan kawalan risiko.

Kesimpulan

Ringkasnya, strategi ini menggunakan MACD jangka masa berbilang untuk menentukan trend, dengan dua trailing mengambil keuntungan, trailing stop loss dan ciri BE untuk mengunci keuntungan, stop loss tetap untuk mengawal risiko. Ia adalah trend yang agak stabil mengikuti strategi. Penambahbaikan lanjut dalam kestabilan dan keuntungan boleh dicapai melalui pengoptimuman parameter dan pengembangan fungsi. Kuncinya adalah mencari kombinasi parameter optimum untuk mencapai keseimbangan risiko-balasan terbaik.


/*backtest
start: 2023-09-24 00:00:00
end: 2023-10-24 00:00:00
period: 6h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

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

//@version=5
//@strategy_alert_message {{strategy.order.alert_message}}

SCRIPT_NAME = "Heatmap MACD Strategy - Pineconnector"

strategy(SCRIPT_NAME, 
 overlay= true, 
 process_orders_on_close = true, 
 calc_on_every_tick = true, 
 pyramiding = 1, 
 initial_capital = 100000, 
 default_qty_type = strategy.fixed, 
 default_qty_value = 1,
 commission_type = strategy.commission.percent,
 commission_value = 0.075,
 slippage = 1
 )

pineconnector_licence_ID = input.string(title = "Licence ID", defval = "123456789", group = "Pineconnector", tooltip = "Insert your Pineconnector Licence ID here")
pos_size = input.float(3, minval = 0, maxval = 100, title = "Position Size", group = "Position Size", tooltip = "Required to specify the position size here for Pineconnector to work properly")

res1 = input.timeframe('60', title='First Timeframe', group = "Timeframes")
res2 = input.timeframe('120', title='Second Timeframe', group = "Timeframes")
res3 = input.timeframe('240', title='Third Timeframe', group = "Timeframes")
res4 = input.timeframe('240', title='Fourth Timeframe', group = "Timeframes")
res5 = input.timeframe('480', title='Fifth Timeframe', group = "Timeframes")

macd_src = input.source(close, title="Source", group = "MACD")
fast_len = input.int(9, minval=1, title="Fast Length", group = "MACD")
slow_len = input.int(26, minval=1, title="Slow Length", group = "MACD")
sig_len = input.int(9, minval=1, title="Signal Length", group = "MACD")

// # ========================================================================= #
// #                   | Close on Opposite |
// # ========================================================================= #

use_close_opposite = input.bool(false, title = "Close on Opposite Signal?", group = "Close on Opposite", tooltip = "Close the position if 1 or more MACDs become bearish (for longs) or bullish (for shorts)")

// # ========================================================================= #
// #                   | Stop Loss |
// # ========================================================================= #

use_sl = input.bool(true, title = "Use Stop Loss?", group = "Stop Loss")
sl_mode = "pips"//input.string("%", title = "Mode", options = ["%", "pips"], group = "Stop Loss")
sl_value = input.float(40, minval = 0, title = "Value", group = "Stop Loss", inline = "stoploss")// * 0.01

// # ========================================================================= #
// #                   | Trailing Stop Loss |
// # ========================================================================= #

use_tsl         = input.bool(false, title = "Use Trailing Stop Loss?", group = "Trailing Stop Loss")
tsl_input_pips = input.float(10, minval = 0, title = "Trailing Stop Loss (pips)", group = "Trailing Stop Loss")

// # ========================================================================= #
// #                   | Take Profit |
// # ========================================================================= #

use_tp1 = input.bool(true, title = "Use Take Profit 1?", group = "Take Profit 1")
tp1_value = input.float(30, minval = 0, title = "Value (pips)", group = "Take Profit 1")// * 0.01
tp1_qty   = input.float(50, minval = 0, title = "Quantity (%)", group = "Take Profit 1")// * 0.01

use_tp2 = input.bool(true, title = "Use Take Profit 2?", group = "Take Profit 2")
tp2_value = input.float(50, minval = 0, title = "Value (pips)", group = "Take Profit 2")// * 0.01

// # ========================================================================= #
// #                   | Stop Loss to Breakeven |
// # ========================================================================= #

use_sl_be         = input.bool(false, title = "Use Stop Loss to Breakeven Mode?", group = "Break Even")
sl_be_value       = input.float(30, step = 0.1, minval = 0, title = "Value (pips)", group = "Break Even", inline = "breakeven")
sl_be_offset      = input.int(1, step = 1, minval = 0, title = "Offset (pips)", group = "Break Even", tooltip = "Set the SL at BE price +/- offset value")

[_, _, MTF1_hist] = request.security(syminfo.tickerid, res1, ta.macd(macd_src, fast_len, slow_len, sig_len))
[_, _, MTF2_hist] = request.security(syminfo.tickerid, res2, ta.macd(macd_src, fast_len, slow_len, sig_len))
[_, _, MTF3_hist] = request.security(syminfo.tickerid, res3, ta.macd(macd_src, fast_len, slow_len, sig_len))
[_, _, MTF4_hist] = request.security(syminfo.tickerid, res4, ta.macd(macd_src, fast_len, slow_len, sig_len))
[_, _, MTF5_hist] = request.security(syminfo.tickerid, res5, ta.macd(macd_src, fast_len, slow_len, sig_len))

bull_hist1 = MTF1_hist > 0 and MTF1_hist[1] < 0
bull_hist2 = MTF2_hist > 0 and MTF2_hist[1] < 0
bull_hist3 = MTF3_hist > 0 and MTF3_hist[1] < 0
bull_hist4 = MTF4_hist > 0 and MTF4_hist[1] < 0
bull_hist5 = MTF5_hist > 0 and MTF5_hist[1] < 0

bear_hist1 = MTF1_hist < 0 and MTF1_hist[1] > 0
bear_hist2 = MTF2_hist < 0 and MTF2_hist[1] > 0
bear_hist3 = MTF3_hist < 0 and MTF3_hist[1] > 0
bear_hist4 = MTF4_hist < 0 and MTF4_hist[1] > 0
bear_hist5 = MTF5_hist < 0 and MTF5_hist[1] > 0

plotshape(bull_hist1, title = "Bullish MACD 1", location = location.bottom, style = shape.diamond, size = size.normal, color = #33e823)
plotshape(bull_hist2, title = "Bullish MACD 2", location = location.bottom, style = shape.diamond, size = size.normal, color = #1a7512)
plotshape(bull_hist3, title = "Bullish MACD 3", location = location.bottom, style = shape.diamond, size = size.normal, color = #479c40)
plotshape(bull_hist4, title = "Bullish MACD 4", location = location.bottom, style = shape.diamond, size = size.normal, color = #81cc7a)
plotshape(bull_hist5, title = "Bullish MACD 5", location = location.bottom, style = shape.diamond, size = size.normal, color = #76d66d)

plotshape(bear_hist1, title = "Bearish MACD 1", location = location.top, style = shape.diamond, size = size.normal, color = #d66d6d)
plotshape(bear_hist2, title = "Bearish MACD 2", location = location.top, style = shape.diamond, size = size.normal, color = #de4949)
plotshape(bear_hist3, title = "Bearish MACD 3", location = location.top, style = shape.diamond, size = size.normal, color = #cc2525)
plotshape(bear_hist4, title = "Bearish MACD 4", location = location.top, style = shape.diamond, size = size.normal, color = #a11d1d)
plotshape(bear_hist5, title = "Bearish MACD 5", location = location.top, style = shape.diamond, size = size.normal, color = #ed2424)

bull_count = (MTF1_hist > 0 ? 1 : 0) + (MTF2_hist > 0 ? 1 : 0) + (MTF3_hist > 0 ? 1 : 0) + (MTF4_hist > 0 ? 1 : 0) + (MTF5_hist > 0 ? 1 : 0)
bear_count = (MTF1_hist < 0 ? 1 : 0) + (MTF2_hist < 0 ? 1 : 0) + (MTF3_hist < 0 ? 1 : 0) + (MTF4_hist < 0 ? 1 : 0) + (MTF5_hist < 0 ? 1 : 0)

bull = bull_count == 5 and bull_count[1] < 5 and barstate.isconfirmed
bear = bear_count == 5 and bear_count[1] < 5 and barstate.isconfirmed

signal_candle = bull or bear

entryLongPrice  = ta.valuewhen(bull and strategy.position_size[1] <= 0, close, 0)
entryShortPrice = ta.valuewhen(bear and strategy.position_size[1] >= 0, close, 0)

plot(strategy.position_size, title = "avg_pos_size")

get_pip_size() =>

    float _pipsize = 1.

    if syminfo.type == "forex" 
        _pipsize := (syminfo.mintick * (str.contains(syminfo.ticker, "JPY") ? 100 : 10))
    else if str.contains(syminfo.ticker, "XAU") or str.contains(syminfo.ticker, "XAG")
        _pipsize := 0.1

    _pipsize

// # ========================================================================= #
// #                   |   Stop Loss |
// # ========================================================================= #

var float final_SL_Long = 0.
var float final_SL_Short = 0.

if signal_candle and use_sl

    final_SL_Long  := entryLongPrice  - (sl_value * get_pip_size())
    final_SL_Short := entryShortPrice + (sl_value * get_pip_size())

// # ========================================================================= #
// #                   |   Trailing Stop Loss |
// # ========================================================================= #

var MaxReached = 0.0  

if signal_candle[1]

    MaxReached := strategy.position_size > 0 ? high : low

MaxReached := strategy.position_size > 0
 ? math.max(nz(MaxReached, high), high)
 : strategy.position_size < 0 ? math.min(nz(MaxReached, low), low) : na

if use_tsl and use_sl

    if strategy.position_size > 0

        stopValue = MaxReached - (tsl_input_pips * get_pip_size())
        final_SL_Long := math.max(stopValue, final_SL_Long[1])

    else if strategy.position_size < 0

        stopValue = MaxReached + (tsl_input_pips * get_pip_size())
        final_SL_Short := math.min(stopValue, final_SL_Short[1])

// # ========================================================================= #
// #                   |   Take Profit 1 |
// # ========================================================================= #

var float final_TP1_Long  = 0.
var float final_TP1_Short = 0.

final_TP1_Long  := entryLongPrice  + (tp1_value * get_pip_size())
final_TP1_Short := entryShortPrice - (tp1_value * get_pip_size())

plot(use_tp1 and strategy.position_size > 0 ? final_TP1_Long : na, title = "TP1 Long", color = color.aqua, linewidth=2, style=plot.style_linebr)
plot(use_tp1 and strategy.position_size < 0 ? final_TP1_Short : na, title = "TP1 Short", color = color.blue, linewidth=2, style=plot.style_linebr)

// # ========================================================================= #
// #                   |   Take Profit 2 |
// # ========================================================================= #

var float final_TP2_Long  = 0.
var float final_TP2_Short = 0.

final_TP2_Long  := entryLongPrice  + (tp2_value * get_pip_size())
final_TP2_Short := entryShortPrice - (tp2_value * get_pip_size())

plot(use_tp2 and strategy.position_size > 0 and tp1_qty != 100 ? final_TP2_Long : na, title = "TP2 Long", color = color.orange, linewidth=2, style=plot.style_linebr)
plot(use_tp2 and strategy.position_size < 0 and tp1_qty != 100 ? final_TP2_Short : na, title = "TP2 Short", color = color.white, linewidth=2, style=plot.style_linebr)

// # ========================================================================= #
// #                   |   Stop Loss to Breakeven |
// # ========================================================================= #

var bool SL_BE_REACHED = false

// Calculate open profit or loss for the open positions.
tradeOpenPL() =>
    sumProfit = 0.0
    for tradeNo = 0 to strategy.opentrades - 1
        sumProfit += strategy.opentrades.profit(tradeNo)
    result = sumProfit

//get_pip_size() =>
//    syminfo.type == "forex" ? syminfo.pointvalue * 100 : 1

current_profit = tradeOpenPL()// * get_pip_size()

current_long_profit = (close - entryLongPrice) / (syminfo.mintick * 10)
current_short_profit = (entryShortPrice - close) / (syminfo.mintick * 10)

plot(current_short_profit, title = "Current Short Profit")
plot(current_long_profit, title = "Current Long Profit")

if use_sl_be

    if strategy.position_size[1] > 0

        if not SL_BE_REACHED

            if current_long_profit >= sl_be_value 
                final_SL_Long := entryLongPrice + (sl_be_offset * get_pip_size())
                SL_BE_REACHED := true

    else if strategy.position_size[1] < 0

        if not SL_BE_REACHED

            if current_short_profit >= sl_be_value 
                final_SL_Short := entryShortPrice - (sl_be_offset * get_pip_size())
                SL_BE_REACHED := true

plot(use_sl and strategy.position_size > 0 ? final_SL_Long : na, title = "SL Long", color = color.fuchsia, linewidth=2, style=plot.style_linebr)
plot(use_sl and strategy.position_size < 0 ? final_SL_Short : na, title = "SL Short", color = color.fuchsia, linewidth=2, style=plot.style_linebr)

// # ========================================================================= #
// #                   |   Strategy Calls |
// # ========================================================================= #

string entry_long_limit_alert_message = ""
string entry_long_TP1_alert_message = ""
string entry_long_TP2_alert_message = ""

tp1_qty_perc = tp1_qty / 100

if use_tp1 and use_tp2

    entry_long_TP1_alert_message := pineconnector_licence_ID + ",buy," + syminfo.ticker + ",risk=" + str.tostring(pos_size * tp1_qty_perc) + ",tp=" + str.tostring(final_TP1_Long)
     + (use_sl ? ",sl=" + str.tostring(final_SL_Long) : "") + (use_sl_be ? ",beoffset=" + str.tostring(sl_be_offset) + ",betrigger=" + str.tostring(sl_be_value) : "")
     + (use_tsl ? ",trailtrig=" + str.tostring(tsl_input_pips) + ",traildist=" + str.tostring(tsl_input_pips) + ",trailstep=1" : "")

    entry_long_TP2_alert_message := pineconnector_licence_ID + ",buy," + syminfo.ticker + ",risk=" + str.tostring(pos_size - (pos_size * tp1_qty_perc)) + ",tp=" + str.tostring(final_TP2_Long)
     + (use_sl ? ",sl=" + str.tostring(final_SL_Long) : "") + (use_sl_be ? ",beoffset=" + str.tostring(sl_be_offset) + ",betrigger=" + str.tostring(sl_be_value) : "")
     + (use_tsl ? ",trailtrig=" + str.tostring(tsl_input_pips) + ",traildist=" + str.tostring(tsl_input_pips) + ",trailstep=1" : "")

else if use_tp1 and not use_tp2

    entry_long_TP1_alert_message := pineconnector_licence_ID + ",buy," + syminfo.ticker + ",risk=" + str.tostring(pos_size * tp1_qty_perc) + ",tp=" + str.tostring(final_TP1_Long)
     + (use_sl ? ",sl=" + str.tostring(final_SL_Long) : "") + (use_sl_be ? ",beoffset=" + str.tostring(sl_be_offset) + ",betrigger=" + str.tostring(sl_be_value) : "")
     + (use_tsl ? ",trailtrig=" + str.tostring(tsl_input_pips) + ",traildist=" + str.tostring(tsl_input_pips) + ",trailstep=1" : "")

else if not use_tp1 and use_tp2

    entry_long_TP2_alert_message := pineconnector_licence_ID + ",buy," + syminfo.ticker + ",risk=" + str.tostring(pos_size) + ",tp=" + str.tostring(final_TP2_Long)
     + (use_sl ? ",sl=" + str.tostring(final_SL_Long) : "") + (use_sl_be ? ",beoffset=" + str.tostring(sl_be_offset) + ",betrigger=" + str.tostring(sl_be_value) : "")
     + (use_tsl ? ",trailtrig=" + str.tostring(tsl_input_pips) + ",traildist=" + str.tostring(tsl_input_pips) + ",trailstep=1" : "")

entry_long_limit_alert_message := entry_long_TP1_alert_message + "\n" + entry_long_TP2_alert_message

//entry_long_limit_alert_message = pineconnector_licence_ID + ",buystop," + syminfo.ticker + ",price=" + str.tostring(buy_price) + ",risk=" + str.tostring(pos_size) + ",tp=" + str.tostring(final_TP_Long) + ",sl=" + str.tostring(final_SL_Long)

//entry_short_market_alert_message = pineconnector_licence_ID + ",sell," + syminfo.ticker + ",risk=" + str.tostring(pos_size) + (use_tp1 ? ",tp=" + str.tostring(final_TP1_Short) : "")
// + (use_sl ? ",sl=" + str.tostring(final_SL_Short) : "")

//entry_short_limit_alert_message = pineconnector_licence_ID + ",sellstop," + syminfo.ticker + ",price=" + str.tostring(sell_price) + ",risk=" + str.tostring(pos_size) + ",tp=" + str.tostring(final_TP_Short) + ",sl=" + str.tostring(final_SL_Short)

string entry_short_limit_alert_message = ""
string entry_short_TP1_alert_message = ""
string entry_short_TP2_alert_message = ""

if use_tp1 and use_tp2
    
    entry_short_TP1_alert_message := pineconnector_licence_ID + ",sell," + syminfo.ticker + ",risk=" + str.tostring(pos_size * tp1_qty_perc) + ",tp=" + str.tostring(final_TP1_Short) 
     + (use_sl ? ",sl=" + str.tostring(final_SL_Short) : "") + (use_sl_be ? ",beoffset=" + str.tostring(sl_be_offset) + ",betrigger=" + str.tostring(sl_be_value) : "")
     + (use_tsl ? ",trailtrig=" + str.tostring(tsl_input_pips) + ",traildist=" + str.tostring(tsl_input_pips) + ",trailstep=1" : "")

    entry_short_TP2_alert_message := pineconnector_licence_ID + ",sell," + syminfo.ticker + ",risk=" + str.tostring(pos_size - (pos_size * tp1_qty_perc)) + ",tp=" + str.tostring(final_TP2_Short)
     + (use_sl ? ",sl=" + str.tostring(final_SL_Short) : "") + (use_sl_be ? ",beoffset=" + str.tostring(sl_be_offset) + ",betrigger=" + str.tostring(sl_be_value) : "")
     + (use_tsl ? ",trailtrig=" + str.tostring(tsl_input_pips) + ",traildist=" + str.tostring(tsl_input_pips) + ",trailstep=1" : "")

else if use_tp1 and not use_tp2

    entry_short_TP1_alert_message := pineconnector_licence_ID + ",sell," + syminfo.ticker + ",risk=" + str.tostring(pos_size * tp1_qty_perc) + ",tp=" + str.tostring(final_TP1_Short)
     + (use_sl ? ",sl=" + str.tostring(final_SL_Short) : "") + (use_sl_be ? ",beoffset=" + str.tostring(sl_be_offset) + ",betrigger=" + str.tostring(sl_be_value) : "")
     + (use_tsl ? ",trailtrig=" + str.tostring(tsl_input_pips) + ",traildist=" + str.tostring(tsl_input_pips) + ",trailstep=1" : "")

else if not use_tp1 and use_tp2

    entry_short_TP2_alert_message := pineconnector_licence_ID + ",sell," + syminfo.ticker + ",risk=" + str.tostring(pos_size) + ",tp=" + str.tostring(final_TP2_Short)
     + (use_sl ? ",sl=" + str.tostring(final_SL_Short) : "") + (use_sl_be ? ",beoffset=" + str.tostring(sl_be_offset) + ",betrigger=" + str.tostring(sl_be_value) : "")
     + (use_tsl ? ",trailtrig=" + str.tostring(tsl_input_pips) + ",traildist=" + str.tostring(tsl_input_pips) + ",trailstep=1" : "")

entry_short_limit_alert_message := entry_short_TP1_alert_message + "\n" + entry_short_TP2_alert_message

long_update_sl_alert_message  = pineconnector_licence_ID + ",newsltplong," + syminfo.ticker + ",sl=" + str.tostring(final_SL_Long)
short_update_sl_alert_message = pineconnector_licence_ID + ",newsltpshort," + syminfo.ticker + ",sl=" + str.tostring(final_SL_Short)

cancel_long = pineconnector_licence_ID + ",cancellong," + syminfo.ticker// + "x"

cancel_short = pineconnector_licence_ID + ",cancellong," + syminfo.ticker// + "x"

close_long  = pineconnector_licence_ID + ",closelong," + syminfo.ticker
close_short = pineconnector_licence_ID + ",closeshort," + syminfo.ticker

if bull and strategy.position_size <= 0
    
    alert(close_short, alert.freq_once_per_bar_close)
    strategy.entry("Long", strategy.long)
    alert(entry_long_TP1_alert_message, alert.freq_once_per_bar_close)
    alert(entry_long_TP2_alert_message, alert.freq_once_per_bar_close)

else if bear and strategy.position_size >= 0
    
    alert(close_long, alert.freq_once_per_bar_close)
    strategy.entry("Short", strategy.short)
    alert(entry_short_TP1_alert_message, alert.freq_once_per_bar_close)
    alert(entry_short_TP2_alert_message, alert.freq_once_per_bar_close)

if strategy.position_size[1] > 0

    if low <= final_SL_Long and use_sl
        strategy.close("Long", alert_message = close_long)
    else
        strategy.exit("Exit TP1 Long", "Long", limit = final_TP1_Long, comment_profit = "Exit TP1 Long", qty_percent = tp1_qty)
        strategy.exit("Exit TP2 Long", "Long", limit = final_TP2_Long, comment_profit = "Exit TP2 Long", alert_message = close_long)

    if bull_count[1] == 5 and bull_count < 5 and barstate.isconfirmed and use_close_opposite
        strategy.close("Long", comment = "1 or more MACDs became bearish", alert_message = close_long)

else if strategy.position_size[1] < 0

    if high >= final_SL_Short and use_sl
        //strategy.exit("Exit SL Short", "Short", stop = final_SL_Short, comment_loss = "Exit SL Short")
        strategy.close("Short", alert_message = close_short)
    else
        strategy.exit("Exit TP1 Short", "Short", limit = final_TP1_Short, comment_profit = "Exit TP1 Short", qty_percent = tp1_qty)
        strategy.exit("Exit TP2 Short", "Short", limit = final_TP2_Short, comment_profit = "Exit TP2 Short")

    if bear_count[1] == 5 and bear_count < 5 and barstate.isconfirmed and use_close_opposite
        strategy.close("Short", comment = "1 or more MACDs became bullish", alert_message = close_short)

// # ========================================================================= #
// #                   |   Logs  |
// # ========================================================================= #

// if bull and strategy.position_size <= 0
//     log.info(entry_long_limit_alert_message)

// else if bear and strategy.position_size >= 0
//     log.info(entry_short_limit_alert_message)

// # ========================================================================= #
// #                   |   Reset Variables  |
// # ========================================================================= #


if (strategy.position_size > 0 and strategy.position_size[1] <= 0)
 or (strategy.position_size < 0 and strategy.position_size[1] >= 0)

    //is_TP1_REACHED := false
    SL_BE_REACHED := false

Lebih lanjut