Strategi Perdagangan Grid Berdasarkan Real-time K-line Tracking

Penulis:ChaoZhang, Tanggal: 2024-02-01 14:40:22
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Gambaran umum

Strategi ini adalah strategi perdagangan grid bidirectional berdasarkan pelacakan perubahan garis K secara real-time.

Logika Strategi

  1. Menghitung rentang harga secara otomatis dan setiap harga jaringan berdasarkan jumlah jaringan yang ditetapkan oleh pengguna.

  2. Ketika harga menembus harga grid, buka posisi panjang dengan kuantitas tetap; ketika harga turun di bawah harga grid, tutup posisi panjang dan buka posisi pendek.

  3. Dengan melacak perubahan harga, keuntungan dapat diperoleh ketika harga berfluktuasi dalam kisaran grid.

Analisis Keuntungan

  1. Menghitung rentang grid yang wajar secara otomatis tanpa perlu menentukan dukungan dan resistensi secara manual.

  2. Perdagangan dua arah beradaptasi dengan perubahan kondisi pasar.

  3. Ukuran posisi terbuka tetap memudahkan pengendalian risiko.

  4. Kode sederhana dan langsung yang mudah dipahami dan dimodifikasi.

Analisis Risiko

  1. Pergeseran harga yang signifikan dapat menyebabkan peningkatan kerugian.

  2. Biaya perdagangan yang terakumulasi juga mempengaruhi keuntungan akhir.

  3. Lebih banyak grid berarti lebih banyak perdagangan tetapi masing-masing dengan keuntungan terbatas.

Arahan Optimasi

  1. Menggabungkan strategi stop loss untuk membatasi kerugian.

  2. Tambahkan penyesuaian dinamis dari jumlah kisi.

  3. Pertimbangkan untuk menambahkan leverage untuk memperkuat volume perdagangan.

Ringkasan

Strategi ini memiliki logika umum yang jelas dan sederhana untuk menghasilkan pendapatan yang stabil melalui perdagangan grid bidirectional, tetapi juga membawa risiko perdagangan tertentu.


/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-31 00:00:00
period: 2h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4

//hk4jerry

strategy("Grid Bot Backtesting", overlay=false, pyramiding=3000, close_entries_rule="ANY", default_qty_type=strategy.cash, initial_capital=100.0, currency="USD", commission_type=strategy.commission.percent, commission_value=0.025)
i_autoBounds    = input(group="Grid Bounds", title="Use Auto Bounds?", defval=true, type=input.bool)                             // calculate upper and lower bound of the grid automatically? This will theorhetically be less profitable, but will certainly require less attention
i_boundSrc      = input(group="Grid Bounds", title="(Auto) Bound Source", defval="Hi & Low", options=["Hi & Low", "Average"])     // should bounds of the auto grid be calculated from recent High & Low, or from a Simple Moving Average
i_boundLookback = input(group="Grid Bounds", title="(Auto) Bound Lookback", defval=250, type=input.integer, maxval=500, minval=0) // when calculating auto grid bounds, how far back should we look for a High & Low, or what should the length be of our sma
i_boundDev      = input(group="Grid Bounds", title="(Auto) Bound Deviation", defval=0.10, type=input.float, maxval=1, minval=-1)  // if sourcing auto bounds from High & Low, this percentage will (positive) widen or (negative) narrow the bound limits. If sourcing from Average, this is the deviation (up and down) from the sma, and CANNOT be negative.
i_upperBound    = input(group="Grid Bounds", title="(Manual) Upper Boundry(상단 가격)", defval=0.285, type=input.float)                      // for manual grid bounds only. The upperbound price of your grid
i_lowerBound    = input(group="Grid Bounds", title="(Manual) Lower Boundry(하단 가격)", defval=0.225, type=input.float)                      // for manual grid bounds only. The lowerbound price of your grid.
i_gridQty       = input(group="Grid Lines",  title="Grid Line Quantity(그리드 수)", defval=30, maxval=999, minval=1, type=input.integer)       // how many grid lines are in your grid
initial_balance = input(group="Trading option", title="Initial balance(투자금액)", defval=100, step=0.01)


start_time = input(group="Trading option",defval=timestamp('15 March 2023 06:00'), title='Start Time', type = input.time)
end_time = input(group="Trading option",defval=timestamp('31 Dec 2035 20:00'), title='End Time', type = input.time)
isAfterStartDate = true

tradingtime= (timenow - start_time)/(86400000*30)
yeartime=tradingtime/12


f_getGridBounds(_bs, _bl, _bd, _up) =>
    if _bs == "Hi & Low"
        _up ? highest(close, _bl) * (1 + _bd) : lowest(close, _bl)  * (1 - _bd)
    else
        avg = sma(close, _bl)
        _up ? avg * (1 + _bd) : avg * (1 - _bd)

f_buildGrid(_lb, _gw, _gq) =>
    gridArr = array.new_float(0)
    for i=0 to _gq-1
        array.push(gridArr, _lb+(_gw*i))
    gridArr

f_getNearGridLines(_gridArr, _price) =>
    arr = array.new_int(3)
    for i = 0 to array.size(_gridArr)-1
        if array.get(_gridArr, i) > _price
            array.set(arr, 0, i == array.size(_gridArr)-1 ? i : i+1)
            array.set(arr, 1, i == 0 ? i : i-1)
            break
    arr

var upperBound      = i_autoBounds ? f_getGridBounds(i_boundSrc, i_boundLookback, i_boundDev, true) : i_upperBound  // upperbound of our grid
var lowerBound      = i_autoBounds ? f_getGridBounds(i_boundSrc, i_boundLookback, i_boundDev, false) : i_lowerBound // lowerbound of our grid
var gridWidth       = (upperBound - lowerBound)/(i_gridQty-1)                                                       // space between lines in our grid
var gridLineArr     = f_buildGrid(lowerBound, gridWidth, i_gridQty)                                                 // an array of prices that correspond to our grid lines
var orderArr        = array.new_bool(i_gridQty, false)                                                              // a boolean array that indicates if there is an open order corresponding to each grid line

var closeLineArr    = f_getNearGridLines(gridLineArr, close)                                                        // for plotting purposes - an array of 2 indices that correspond to grid lines near price
var nearTopGridLine = array.get(closeLineArr, 0)                                                                    // for plotting purposes - the index (in our grid line array) of the closest grid line above current price
var nearBotGridLine = array.get(closeLineArr, 1)                                                                    // for plotting purposes - the index (in our grid line array) of the closest grid line below current price
if isAfterStartDate
    for i = 0 to (array.size(gridLineArr) - 1)
        if close < array.get(gridLineArr, i) and not array.get(orderArr, i) and i < (array.size(gridLineArr) - 1)
            buyId = i
            array.set(orderArr, buyId, true)
            strategy.entry(id=tostring(buyId), long=true, qty=(initial_balance/(i_gridQty-1))/close, comment="#"+tostring(buyId))
        if close > array.get(gridLineArr, i) and i != 0
            if array.get(orderArr, i-1)
                sellId = i-1
                array.set(orderArr, sellId, false)
                strategy.close(id=tostring(sellId), comment="#"+tostring(sellId))

    if i_autoBounds
        upperBound  := f_getGridBounds(i_boundSrc, i_boundLookback, i_boundDev, true)
        lowerBound  := f_getGridBounds(i_boundSrc, i_boundLookback, i_boundDev, false)
        gridWidth   := (upperBound - lowerBound)/(i_gridQty-1)
        gridLineArr := f_buildGrid(lowerBound, gridWidth, i_gridQty)

    closeLineArr    := f_getNearGridLines(gridLineArr, close)
    nearTopGridLine := array.get(closeLineArr, 0)
    nearBotGridLine := array.get(closeLineArr, 1)






var table table = table.new(position.top_right,6,8, frame_color = color.rgb(255, 255, 255),frame_width = 2,border_width = 2, border_color=color.rgb(255, 255, 255))
        


//제목
table.cell(table,0,0,"Upper limit price :", bgcolor=color.new(color.black,0),text_color =color.white)    
table.cell(table,0,1,"Lower limit price :",bgcolor=color.new(color.black,0),text_color =color.white)
table.cell(table,0,2,"Grids quantity :",bgcolor=color.new(color.black,0),text_color =color.white)
table.cell(table,0,3,"Investment :",text_color =color.white,bgcolor=color.new(color.black,0))
table.cell(table,0,4,"USDT per grid :",text_color =color.white,bgcolor=color.new(color.black,0))
//수치
table.cell(table,1,0, tostring(upperBound, '###.#####')+ "  USDT", bgcolor=color.new(#5a637e, 0),text_color =color.white)    
table.cell(table,1,1, tostring(lowerBound, '###.#####')+ "  USDT", bgcolor=color.new(#5a637e, 0),text_color =color.white)
table.cell(table,1,2, tostring(i_gridQty, '###'), bgcolor=color.new(#5a637e, 0),text_color =color.white)
table.cell(table,1,3, tostring(initial_balance,'###.##')+ "  USDT", bgcolor=color.new(#5a637e, 0),text_color =color.white)
table.cell(table,1,4, tostring(initial_balance/i_gridQty,'###.##')+ "  USDT", bgcolor=color.new(#5a637e, 0),text_color =color.white)

//제목
table.cell(table,2,0,"Current position :",text_color =color.white,bgcolor=color.new(color.black,0))
table.cell(table,2,1,"Position cost price :",text_color =color.white,bgcolor=color.new(color.black,0))
table.cell(table,2,2,"Unrealized profit :",bgcolor=color.new(color.black,0),text_color =color.white)
table.cell(table,2,3,"Unrealized profit % :",bgcolor=color.new(color.black,0),text_color =color.white)
table.cell(table,2,4,"Fee :",text_color =color.white,bgcolor=color.new(color.black,0))

//수치
table.cell(table,3,0, tostring(strategy.position_size) +   syminfo.basecurrency + "\n"  + tostring(strategy.position_size*strategy.position_avg_price/1, '###.##') + "USDT" ,text_color =color.white,bgcolor=color.new(#5a637e, 0))
table.cell(table,3,1, text=strategy.position_size>0 ? tostring(strategy.position_avg_price,'###.####')+ "  USDT" : "NOT TRADING",text_color =color.white,bgcolor=color.new(#5a637e, 0))
table.cell(table,3,2, tostring(strategy.openprofit, '###.##')+ "  USDT",text_color =color.white,bgcolor=strategy.openprofit > 0 ? color.teal : color.maroon)
table.cell(table,3,3, tostring(strategy.openprofit/initial_balance*100, '###.##')+ "%",text_color =color.white,bgcolor=strategy.openprofit > 0 ? color.teal : color.maroon)
table.cell(table,3,4, "-" + tostring(strategy.position_avg_price*strategy.position_size*0.025/100,'###.##')+ "  USDT",text_color =color.white,bgcolor=color.new(#5a637e, 0))

//제목
table.cell(table,4,0,"Grid profit :",text_color =color.white,bgcolor=color.new(color.black,0))
table.cell(table,4,1,"Grid profit % :",text_color =color.white,bgcolor=color.new(color.black,0))
table.cell(table,4,2,"Net profit :", bgcolor=color.new(color.black,0),text_color =color.white)    
table.cell(table,4,3,"Net profit % :",bgcolor=color.new(color.black,0),text_color =color.white)
table.cell(table,4,4,"Balance USDT :",bgcolor=color.new(color.black,0),text_color =color.white)


//수치
table.cell(table,5,0, tostring(strategy.netprofit, '###.#####')+ "USDT", text_color =color.white,bgcolor=strategy.netprofit > 0 ? color.teal : color.maroon)
table.cell(table,5,1, tostring((strategy.netprofit)/initial_balance*100/tradingtime, '####.##') + "%",text_color =color.white,bgcolor=strategy.netprofit > 0 ? color.teal : color.maroon)
table.cell(table,5,2, tostring(strategy.netprofit+strategy.openprofit, '###.##') + "  USDT",text_color =color.white,bgcolor=strategy.netprofit+strategy.openprofit > 0 ? color.teal : color.maroon)
table.cell(table,5,3, tostring((strategy.netprofit+strategy.openprofit)/initial_balance*100, '####.##') + "%",text_color =color.white,bgcolor=strategy.netprofit+strategy.openprofit > 0 ? color.teal : color.maroon)
table.cell(table,5,4, tostring(initial_balance+strategy.netprofit+strategy.openprofit, '###.##')+ "  USDT", text_color =color.white,bgcolor=color.new(#3d4d7c, 0))





// plot(strategy.initial_capital+ strategy.netprofit+strategy.openprofit, "Current Balance",color=color.rgb(81, 137, 128))
// plot(initial_balance, "Investment",color=color.rgb(81, 137, 128))

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