Strategi perdagangan grid RSI berbilang masa


Tarikh penciptaan: 2023-11-23 17:50:13 Akhirnya diubah suai: 2023-11-23 17:50:13
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Strategi perdagangan grid RSI berbilang masa

Gambaran keseluruhan

Strategi ini menggunakan 7 rentang RSI untuk menilai trend pasaran, membina kedudukan grid untuk perdagangan grid yang cekap dalam keadaan RSI yang bergolak. Nama strategi diambil dari Multi-Period RSI Grid Trading Strategy, atau MPRSI Grid Strategy.

Prinsip Strategi

  1. Strategi ini menggunakan RSI pada 7 kitaran yang berbeza: 1 minit, 5 minit, 15 minit, 30 minit, 1 jam, 2 jam, dan 1 hari. Isyarat beli dihasilkan apabila semua 7 RSI pada masa yang sama berada di bawah garis lebihan beli; isyarat jual dihasilkan apabila semua 7 RSI pada masa yang sama berada di atas garis lebihan jual.

  2. Berdasarkan isyarat beli dan jual, 20 pesanan dengan jarak harga peratusan tetap diletakkan di sekitar harga semasa. Sebagai contoh, harga gudang \( 100, jarak pesanan 2%, harga pesanan adalah \) 98, \( 96 ... sehingga \) 60.

  3. Apabila harga menyentuh satu harga pesanan, perdagangan akan menubuhkan kedudukan. Apabila ia menguntungkan, ia akan dihentikan dengan peratusan stop yang ditetapkan.

Kelebihan Strategik

  1. Kombinasi pelbagai petunjuk menilai trend pasaran, mengelakkan salah tafsiran. 7 kitaran meliputi perubahan trend jangka pendek dan jangka menengah, menilai dengan tepat.

  2. Indeks RSI mempunyai kebolehan yang boleh dipercayai untuk membuat keputusan mengenai pembelian dan penjualan yang berlebihan, dan mengelakkan kedudukan untuk mengejar tinggi dan rendah.

  3. Penghantaran melalui grid adalah lebih cekap dan mengelakkan pengurangan kos.

  4. Tetapkan Hentikan Hentikan Kerosakan, yang membantu pengurusan wang, mengurangkan risiko kerugian dalam keadaan yang melampau.

Risiko dan Penyelesaian Strategi

  1. Kelemahan harga yang ketara boleh menembusi grid. Penyelesaian adalah dengan menetapkan jarak grid yang munasabah dan menambah wang bergerak.

  2. Terlalu dekat dengan titik henti mungkin menambah titik tergelincir yang tidak perlu. Penyelesaian adalah dengan menetapkan titik henti yang munasabah berdasarkan turun naik pasaran.

  3. Sebahagian daripada RSI mungkin menghasilkan isyarat yang salah. Penyelesaian adalah menapis RSI untuk tempoh tertentu.

Arah pengoptimuman strategi

  1. Anda boleh menguji pelbagai kombinasi parameter dan lain-lain petunjuk untuk menilai logik, mengoptimumkan strategi penempatan dan hentikan.

  2. Jarak grid boleh disesuaikan secara automatik dengan penunjuk kadar gelombang. Jarak yang lebih besar apabila gelombang tinggi, jarak yang lebih kecil apabila gelombang rendah.

  3. Modul pengurusan wang boleh ditambah, parameter seperti jumlah pegangan maksimum, jarak grid, dan lain-lain boleh disesuaikan mengikut dinamik dana akaun.

ringkaskan

Strategi ini mengintegrasikan indikator RSI berkala untuk menilai trend pasaran, dan membina kedudukan grid dengan cekap semasa pergerakan pasaran. Strategi ini mempunyai banyak kelebihan seperti pengoptimuman kos, hentian dan kawalan risiko, sesuai untuk pelabur yang ingin memanfaatkan penarikan pergerakan pasaran, dan mempunyai kapasiti menanggung risiko tertentu.

Kod sumber strategi 
/*backtest
start: 2023-11-15 00:00:00
end: 2023-11-22 00:00:00
period: 4h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
args: [["MinLot",0.001,358374]]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © rrolik66

//@version=4
strategy(title="7-RSI strategy", overlay=true)

// inputs
src = input(close, "Source RSI", type = input.source)
bot_res = input(title="Bot period", type=input.resolution, defval="1")
srcin_bot = input(ohlc4, "Source Bot", type = input.source)
src_bot = security(syminfo.tickerid, bot_res, srcin_bot)

tradeDirection = input(title="Trade Direction", type=input.string,
     options=["Long Bot", "Short Bot"], defval="Long Bot")


rsi1_res = input(title="RSI-1 period", type=input.resolution, defval="1", group="indicators")
rsi1_Len = input(14, minval=1, title="RSI-1 Length", group="indicators")
rsi2_res = input(title="RSI-2 period", type=input.resolution, defval="5", group="indicators")
rsi2_Len = input(14, minval=1, title="RSI-2 Length", group="indicators")
rsi3_res = input(title="RSI-3 period", type=input.resolution, defval="15", group="indicators")
rsi3_Len = input(14, minval=1, title="RSI-3 Length", group="indicators")
rsi4_res = input(title="RSI-4 period", type=input.resolution, defval="30", group="indicators")
rsi4_Len = input(14, minval=1, title="RSI-4 Length", group="indicators")
rsi5_res = input(title="RSI-5 period", type=input.resolution, defval="60", group="indicators")
rsi5_Len = input(14, minval=1, title="RSI-5 Length", group="indicators")
rsi6_res = input(title="RSI-6 period", type=input.resolution, defval="120", group="indicators")
rsi6_Len = input(14, minval=1, title="RSI-6 Length", group="indicators")
rsi7_res = input(title="RSI-7 period", type=input.resolution, defval="1D", group="indicators")
rsi7_Len = input(14, minval=1, title="RSI-7 Length", group="indicators")

longProfitPerc = input(title="Long Bot Take Profit (%)",
     type=input.float, minval=0.0, step=0.05, defval=0.5, group="Long Bot") * 0.01
st_long_orders = input(title="Long Bot Step orders (%)",
     type=input.float, minval=0.0, step=0.1, defval=2.0, group="Long Bot") * 0.01

rsi1_low = input(100, title="RSI-1 <", group="Long Bot")
rsi2_low = input(100, title="RSI-2 <", group="Long Bot")
rsi3_low = input(100, title="RSI-3 <", group="Long Bot")
rsi4_low = input(100, title="RSI-4 <", group="Long Bot")
rsi5_low = input(100, title="RSI-5 <", group="Long Bot")
rsi6_low = input(100, title="RSI-6 <", group="Long Bot")
rsi7_low = input(100, title="RSI-7 <", group="Long Bot")

shortProfitPerc = input(title="Short Bot Take Profit (%)",
     type=input.float, minval=0.0, step=0.05, defval=0.5, group="Short Bot") * 0.01
st_short_orders = input(title="Short Bot Step orders (%)",
     type=input.float, minval=0.0, step=0.1, defval=2.0, group="Short Bot") * 0.01

rsi1_up = input(0, title="RSI-1 >", group="Short Bot")
rsi2_up = input(0, title="RSI-2 >", group="Short Bot")
rsi3_up = input(0, title="RSI-3 >", group="Short Bot")
rsi4_up = input(0, title="RSI-4 >", group="Short Bot")
rsi5_up = input(0, title="RSI-5 >", group="Short Bot")
rsi6_up = input(0, title="RSI-6 >", group="Short Bot")
rsi7_up = input(0, title="RSI-7 >", group="Short Bot")

//indicators
rsi1 = rsi(src, rsi1_Len)
rsi1_sec = security(syminfo.tickerid, rsi1_res, rsi1)
rsi2 = rsi(src, rsi2_Len)
rsi2_sec = security(syminfo.tickerid, rsi2_res, rsi2)
rsi3 = rsi(src, rsi3_Len)
rsi3_sec = security(syminfo.tickerid, rsi3_res, rsi3)
rsi4 = rsi(src, rsi4_Len)
rsi4_sec = security(syminfo.tickerid, rsi4_res, rsi4)
rsi5 = rsi(src, rsi5_Len)
rsi5_sec = security(syminfo.tickerid, rsi5_res, rsi5)
rsi6 = rsi(src, rsi6_Len)
rsi6_sec = security(syminfo.tickerid, rsi6_res, rsi6)
rsi7 = rsi(src, rsi7_Len)
rsi7_sec = security(syminfo.tickerid, rsi7_res, rsi7)

//RSI
rsi1_up_signal = rsi1_sec > rsi1_up
rsi1_low_signal = rsi1_sec < rsi1_low
rsi2_up_signal = rsi2_sec > rsi2_up
rsi2_low_signal = rsi2_sec < rsi2_low
rsi3_up_signal = rsi3_sec > rsi3_up
rsi3_low_signal = rsi3_sec < rsi3_low
rsi4_up_signal = rsi4_sec > rsi4_up
rsi4_low_signal = rsi4_sec < rsi4_low
rsi5_up_signal = rsi5_sec > rsi5_up
rsi5_low_signal = rsi5_sec < rsi5_low
rsi6_up_signal = rsi6_sec > rsi6_up
rsi6_low_signal = rsi6_sec < rsi6_low
rsi7_up_signal = rsi7_sec > rsi7_up
rsi7_low_signal = rsi7_sec < rsi7_low


//Buy & Sell
Buy = rsi1_low_signal and rsi2_low_signal and rsi3_low_signal and rsi4_low_signal and rsi5_low_signal and rsi6_low_signal and rsi7_low_signal
Sell = rsi1_up_signal and rsi2_up_signal and rsi3_up_signal and rsi4_up_signal and rsi5_up_signal and rsi6_up_signal and rsi7_up_signal

// input into trading conditions
longOK  = (tradeDirection == "Long Bot")
shortOK = (tradeDirection == "Short Bot")

// in entry orders price
longEntryPrice1 = src_bot * (1 - (st_long_orders))
longEntryPrice2 = src_bot * (1 - (st_long_orders*2))
longEntryPrice3 = src_bot * (1 - (st_long_orders*3))
longEntryPrice4 = src_bot * (1 - (st_long_orders*4))
longEntryPrice5 = src_bot * (1 - (st_long_orders*5))
longEntryPrice6 = src_bot * (1 - (st_long_orders*6))
longEntryPrice7 = src_bot * (1 - (st_long_orders*7))
longEntryPrice8 = src_bot * (1 - (st_long_orders*8))
longEntryPrice9 = src_bot * (1 - (st_long_orders*9))
longEntryPrice10 = src_bot * (1 - (st_long_orders*10))
longEntryPrice11 = src_bot * (1 - (st_long_orders*11))
longEntryPrice12 = src_bot * (1 - (st_long_orders*12))
longEntryPrice13 = src_bot * (1 - (st_long_orders*13))
longEntryPrice14 = src_bot * (1 - (st_long_orders*14))
longEntryPrice15 = src_bot * (1 - (st_long_orders*15))
longEntryPrice16 = src_bot * (1 - (st_long_orders*16))
longEntryPrice17 = src_bot * (1 - (st_long_orders*17))
longEntryPrice18 = src_bot * (1 - (st_long_orders*18))
longEntryPrice19 = src_bot * (1 - (st_long_orders*19))

shortEntryPrice1 = src_bot * (1 + st_short_orders)
shortEntryPrice2 = src_bot * (1 + (st_short_orders*2))
shortEntryPrice3 = src_bot * (1 + (st_short_orders*3))
shortEntryPrice4 = src_bot * (1 + (st_short_orders*4))
shortEntryPrice5 = src_bot * (1 + (st_short_orders*5))
shortEntryPrice6 = src_bot * (1 + (st_short_orders*6))
shortEntryPrice7 = src_bot * (1 + (st_short_orders*7))
shortEntryPrice8 = src_bot * (1 + (st_short_orders*8))
shortEntryPrice9 = src_bot * (1 + (st_short_orders*9))
shortEntryPrice10 = src_bot * (1 + (st_short_orders*10))
shortEntryPrice11 = src_bot * (1 + (st_short_orders*11))
shortEntryPrice12 = src_bot * (1 + (st_short_orders*12))
shortEntryPrice13 = src_bot * (1 + (st_short_orders*13))
shortEntryPrice14 = src_bot * (1 + (st_short_orders*14))
shortEntryPrice15 = src_bot * (1 + (st_short_orders*15))
shortEntryPrice16 = src_bot * (1 + (st_short_orders*16))
shortEntryPrice17 = src_bot * (1 + (st_short_orders*17))
shortEntryPrice18 = src_bot * (1 + (st_short_orders*18))
shortEntryPrice19 = src_bot * (1 + (st_short_orders*19))

// take profit price
longExitPrice  = strategy.position_avg_price * (1 + longProfitPerc)
shortExitPrice = strategy.position_avg_price * (1 - shortProfitPerc)

// take profit values for confirmation
plot(series=(strategy.position_size > 0) ? longExitPrice : na,
     color=color.green, style=plot.style_circles,
     linewidth=3, title="Long Take Profit")
plot(series=(strategy.position_size < 0) ? shortExitPrice : na,
     color=color.red, style=plot.style_circles,
     linewidth=3, title="Short Take Profit")


// entry orders

if (strategy.position_size == 0)
    strategy.order(id="Long0", long=true, limit=src_bot, when=longOK and Buy)
	strategy.order(id="Long1", long=true, limit=longEntryPrice1, when=longOK and Buy)
	strategy.order(id="Long2", long=true, limit=longEntryPrice2, when=longOK and Buy)
	strategy.order(id="Long3", long=true, limit=longEntryPrice3, when=longOK and Buy)
	strategy.order(id="Long4", long=true, limit=longEntryPrice4, when=longOK and Buy)
	strategy.order(id="Long5", long=true, limit=longEntryPrice5, when=longOK and Buy)
	strategy.order(id="Long6", long=true, limit=longEntryPrice6, when=longOK and Buy)
	strategy.order(id="Long7", long=true, limit=longEntryPrice7, when=longOK and Buy)
	strategy.order(id="Long8", long=true, limit=longEntryPrice8, when=longOK and Buy)
	strategy.order(id="Long9", long=true, limit=longEntryPrice9, when=longOK and Buy)
	strategy.order(id="Long10", long=true, limit=longEntryPrice10, when=longOK and Buy)
	strategy.order(id="Long11", long=true, limit=longEntryPrice11, when=longOK and Buy)
	strategy.order(id="Long12", long=true, limit=longEntryPrice12, when=longOK and Buy)
	strategy.order(id="Long13", long=true, limit=longEntryPrice13, when=longOK and Buy)
	strategy.order(id="Long14", long=true, limit=longEntryPrice14, when=longOK and Buy)
	strategy.order(id="Long15", long=true, limit=longEntryPrice15, when=longOK and Buy)
	strategy.order(id="Long16", long=true, limit=longEntryPrice16, when=longOK and Buy)
	strategy.order(id="Long17", long=true, limit=longEntryPrice17, when=longOK and Buy)
	strategy.order(id="Long18", long=true, limit=longEntryPrice18, when=longOK and Buy)
	strategy.order(id="Long19", long=true, limit=longEntryPrice19, when=longOK and Buy)

if (strategy.position_size == 0)
    strategy.order(id="Short0", long=false, limit=src_bot, when=shortOK and Sell)
	strategy.order(id="Short1", long=false, limit=shortEntryPrice1, when=shortOK and Sell)
	strategy.order(id="Short2", long=false, limit=shortEntryPrice2, when=shortOK and Sell)
	strategy.order(id="Short3", long=false, limit=shortEntryPrice3, when=shortOK and Sell)
	strategy.order(id="Short4", long=false, limit=shortEntryPrice4, when=shortOK and Sell)
	strategy.order(id="Short5", long=false, limit=shortEntryPrice5, when=shortOK and Sell)
	strategy.order(id="Short6", long=false, limit=shortEntryPrice6, when=shortOK and Sell)
	strategy.order(id="Short7", long=false, limit=shortEntryPrice7, when=shortOK and Sell)
	strategy.order(id="Short8", long=false, limit=shortEntryPrice8, when=shortOK and Sell)
	strategy.order(id="Short9", long=false, limit=shortEntryPrice9, when=shortOK and Sell)
	strategy.order(id="Short10", long=false, limit=shortEntryPrice10, when=shortOK and Sell)
	strategy.order(id="Short11", long=false, limit=shortEntryPrice11, when=shortOK and Sell)
	strategy.order(id="Short12", long=false, limit=shortEntryPrice12, when=shortOK and Sell)
	strategy.order(id="Short13", long=false, limit=shortEntryPrice13, when=shortOK and Sell)
	strategy.order(id="Short14", long=false, limit=shortEntryPrice14, when=shortOK and Sell)
	strategy.order(id="Short15", long=false, limit=shortEntryPrice15, when=shortOK and Sell)
	strategy.order(id="Short16", long=false, limit=shortEntryPrice16, when=shortOK and Sell)
	strategy.order(id="Short17", long=false, limit=shortEntryPrice17, when=shortOK and Sell)
	strategy.order(id="Short18", long=false, limit=shortEntryPrice18, when=shortOK and Sell)
	strategy.order(id="Short19", long=false, limit=shortEntryPrice19, when=shortOK and Sell)

// exit position based on take profit price

if (strategy.position_size > 0)
    strategy.order(id="exit_Long", long=false, limit=longExitPrice, qty=strategy.position_size)

if (strategy.position_size < 0)
    strategy.order(id="exit_Short", long=true, limit=shortExitPrice, qty=abs(strategy.position_size))
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