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متحرک گرڈ ٹریڈنگ کی حکمت عملی

مصنف:چاؤ ژانگ
ٹیگز:

img

جائزہ

حکمت عملی منطق

  1. جب قیمت گرڈ لائن سے نیچے گرتی ہے تو اس سے نیچے طویل آرڈر کھولیں۔ جب قیمت گرڈ لائن سے اوپر بڑھتی ہے تو اس سے اوپر مختصر آرڈر بند کریں۔
  2. مارکیٹ کی تبدیلیوں کے مطابق حکمت عملی کو ایڈجسٹ کرنے کے لئے متحرک طور پر حدود، وقفے کی چوڑائی اور گرڈ لائن کی قیمتوں کو ایڈجسٹ کریں.

فوائد کا تجزیہ

  1. متحرک گرڈ رینج ایڈجسٹمنٹ موافقت کو بہتر بناتا ہے.

خطرے کا تجزیہ

خطرے کا انتظام:

  1. رجحان کے اشارے کے ساتھ مارکیٹ کی حالت کا جائزہ لیں، جب ضروری ہو تو قریبی حکمت عملی.

اصلاح کی ہدایات

  1. زیادہ مستحکم انعام کے لئے آرڈر سائز حساب کو بہتر بنائیں.
  2. رجحان کی نشاندہی اور حکمت عملی قریبی حالات کے لئے اشارے شامل کریں.

خلاصہ


/*backtest
start: 2023-12-23 00:00:00
end: 2024-01-22 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
strategy("sarasa srinivasa kumar", overlay=true, pyramiding=14, close_entries_rule="ANY", default_qty_type=strategy.cash, initial_capital=100.0, currency="USD", commission_type=strategy.commission.percent, commission_value=0.1)
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="(Auto) Upper Boundry", defval=0.285, type=input.float)                      // for manual grid bounds only. The upperbound price of your grid
i_lowerBound    = input(group="Grid Bounds", title="(Auto) Lower Boundry", 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", defval=8, maxval=15, minval=3, type=input.integer)       // how many grid lines are in your grid

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
strategy.initial_capital = 50000
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=(strategy.initial_capital/(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)



مزید