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2. Adaptive Netzhandelsstrategie auf Basis einer quantitativen Handelsplattform

Adaptive Netzhandelsstrategie auf Basis einer quantitativen Handelsplattform

Schriftsteller:ChaoZhang, Datum: 2024-02-21 10:55:21
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/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-24 23:59:59
period: 1h
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,"상단 라인 :", bgcolor=color.new(color.black,0),text_color =color.white)    
table.cell(table,0,1,"하단 라인 :",bgcolor=color.new(color.black,0),text_color =color.white)
table.cell(table,0,2,"그리드 수 :",bgcolor=color.new(color.black,0),text_color =color.white)
table.cell(table,0,3,"투자금액 :",text_color =color.white,bgcolor=color.new(color.black,0))
table.cell(table,0,4,"그리드당 투자금액 :",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,"현재 포지션 :",text_color =color.white,bgcolor=color.new(color.black,0))
table.cell(table,2,1,"현재 포지션 평단가 :",text_color =color.white,bgcolor=color.new(color.black,0))
table.cell(table,2,2,"현재 포지션 수익 :",bgcolor=color.new(color.black,0),text_color =color.white)
table.cell(table,2,3,"현재 포지션 수익 % :",bgcolor=color.new(color.black,0),text_color =color.white)
table.cell(table,2,4,"현재 포지션 수수료 :",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,"그리드 수익 :",text_color =color.white,bgcolor=color.new(color.black,0))
table.cell(table,4,1,"그리드 수익률 :",text_color =color.white,bgcolor=color.new(color.black,0))
table.cell(table,4,2,"총 수익 :", bgcolor=color.new(color.black,0),text_color =color.white)    
table.cell(table,4,3,"총 수익률 :",bgcolor=color.new(color.black,0),text_color =color.white)
table.cell(table,4,4,"현재 자산 :",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, "총 수익 USDT",color=color.rgb(81, 137, 128))
// plot(initial_balance, "투자금액",color=color.rgb(81, 137, 128))

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