Dalam artikel sebelumnya, kami merancang strategi pemantauan penyebaran kontrak pelbagai spesies bersama-sama. Dalam artikel ini, kami akan terus meningkatkan idea ini. Mari kita lihat apakah idea ini layak, dan jalankan dengan bot simulasi OKEX V5 untuk mengesahkan reka bentuk strategi. Proses ini juga diperlukan untuk berpengalaman dalam proses perdagangan programmatic cryptocurrency dan perdagangan kuantitatif. Saya berharap bahawa pemula dapat mengumpulkan pengalaman yang berharga.
Peringatan spoiler, strategi berjalan, dan saya agak teruja!
Reka bentuk keseluruhan strategi dilaksanakan dengan cara yang paling mudah. Walaupun perinciannya tidak terlalu menuntut, anda masih boleh mempelajari beberapa petua dari kod. Kod strategi keseluruhan kurang dari 400 baris, jadi tidak akan membosankan untuk dibaca dan difahami. Sudah tentu, ini hanya DEMO ujian, ia memerlukan sedikit masa untuk mengujinya. Jadi apa yang ingin saya katakan adalah: strategi semasa hanya berjaya dalam membuka kedudukan, dan pelbagai situasi seperti menutup kedudukan perlu diuji dan disahkan. Bug dalam reka bentuk program tidak dapat dielakkan, jadi pengujian dan DEBUG sangat penting!
Kembali ke reka bentuk strategi, berdasarkan kod dalam artikel sebelumnya, strategi ditambahkan:
Untuk memudahkan reka bentuk, strategi ini hanya direka untuk lindung nilai positif (kontrak jangka pendek jangka panjang, kontrak jangka pendek jangka panjang). Pada masa ini, kontrak kekal (dekat jangka) mempunyai kadar yuran negatif, yang hanya boleh lama untuk kontrak kekal untuk melihat jika ia boleh meningkatkan keuntungan kadar.
Biarkan strategi berjalan untuk sementara ~
Selepas menguji selama kira-kira 3 hari, turun naik penyebaran masih boleh dilakukan.
Di sini kita boleh melihat keuntungan beberapa kadar pembiayaan.
Kongsi kod sumber strategi di bawah:
var arrNearContractType = strNearContractType.split(",")
var arrFarContractType = strFarContractType.split(",")
var nets = null
var initTotalEquity = null
var OPEN_PLUS = 1
var COVER_PLUS = 2
function createNet(begin, diff, initAvgPrice, diffUsagePercentage) {
if (diffUsagePercentage) {
diff = diff * initAvgPrice
}
var oneSideNums = 3
var up = []
var down = []
for (var i = 0 ; i < oneSideNums ; i++) {
var upObj = {
sell : false,
price : begin + diff / 2 + i * diff
}
up.push(upObj)
var j = (oneSideNums - 1) - i
var downObj = {
sell : false,
price : begin - diff / 2 - j * diff
}
if (downObj.price <= 0) { // Price cannot be less than or equal to 0
continue
}
down.push(downObj)
}
return down.concat(up)
}
function createCfg(symbol) {
var cfg = {
extension: {
layout: 'single',
height: 300,
col: 6
},
title: {
text: symbol
},
xAxis: {
type: 'datetime'
},
series: [{
name: 'plus',
data: []
}]
}
return cfg
}
function formatSymbol(originalSymbol) {
var arr = originalSymbol.split("-")
return [arr[0] + "_" + arr[1], arr[0], arr[1]]
}
function main() {
if (isSimulate) {
exchange.IO("simulate", true) // Switch to simulation environment
Log("Only OKEX V5 API is supported, switch to OKEX V5 simulation bot:")
} else {
exchange.IO("simulate", false) // Switch to real bot
Log("Only OKEX V5 API is supported, switch to OKEX V5 simulation bot:")
}
if (exchange.GetName() != "Futures_OKCoin") {
throw "Support OKEX futures"
}
// Initialization
if (isReset) {
_G(null)
LogReset(1)
LogProfitReset()
LogVacuum()
Log("Reset all data", "#FF0000")
}
// Initialization marker
var isFirst = true
// Profit print period
var preProfitPrintTS = 0
// Total equity
var totalEquity = 0
var posTbls = [] // Position table array
// Declare arrCfg
var arrCfg = []
_.each(arrNearContractType, function(ct) {
arrCfg.push(createCfg(formatSymbol(ct)[0]))
})
var objCharts = Chart(arrCfg)
objCharts.reset()
// Create object
var exName = exchange.GetName() + "_V5"
var nearConfigureFunc = $.getConfigureFunc()[exName]
var farConfigureFunc = $.getConfigureFunc()[exName]
var nearEx = $.createBaseEx(exchange, nearConfigureFunc)
var farEx = $.createBaseEx(exchange, farConfigureFunc)
// Pre-write the contract that require subscriptions
_.each(arrNearContractType, function(ct) {
nearEx.pushSubscribeSymbol(ct)
})
_.each(arrFarContractType, function(ct) {
farEx.pushSubscribeSymbol(ct)
})
while (true) {
var ts = new Date().getTime()
// Obtain market data
nearEx.goGetTickers()
farEx.goGetTickers()
var nearTickers = nearEx.getTickers()
var farTickers = farEx.getTickers()
if (!farTickers || !nearTickers) {
Sleep(2000)
continue
}
var tbl = {
type : "table",
title : "Long term-near term spread",
cols : ["Trading pair", "long term", "near term", "positive hedging", "negative hedging"],
rows : []
}
var subscribeFarTickers = []
var subscribeNearTickers = []
_.each(farTickers, function(farTicker) {
_.each(arrFarContractType, function(symbol) {
if (farTicker.originalSymbol == symbol) {
subscribeFarTickers.push(farTicker)
}
})
})
_.each(nearTickers, function(nearTicker) {
_.each(arrNearContractType, function(symbol) {
if (nearTicker.originalSymbol == symbol) {
subscribeNearTickers.push(nearTicker)
}
})
})
var pairs = []
_.each(subscribeFarTickers, function(farTicker) {
_.each(subscribeNearTickers, function(nearTicker) {
if (farTicker.symbol == nearTicker.symbol) {
var pair = {symbol: nearTicker.symbol, nearTicker: nearTicker, farTicker: farTicker, plusDiff: farTicker.bid1 - nearTicker.ask1, minusDiff: farTicker.ask1 - nearTicker.bid1}
pairs.push(pair)
tbl.rows.push([pair.symbol, farTicker.originalSymbol, nearTicker.originalSymbol, pair.plusDiff, pair.minusDiff])
for (var i = 0 ; i < arrCfg.length ; i++) {
if (arrCfg[i].title.text == pair.symbol) {
objCharts.add([i, [ts, pair.plusDiff]])
}
}
}
})
})
// Initialization
if (isFirst) {
isFirst = false
var recoveryNets = _G("nets")
var recoveryInitTotalEquity = _G("initTotalEquity")
if (!recoveryNets) {
// Check positions
_.each(subscribeFarTickers, function(farTicker) {
var pos = farEx.getFuPos(farTicker.originalSymbol, ts)
if (pos.length != 0) {
Log(farTicker.originalSymbol, pos)
throw "Initialized with a position"
}
})
_.each(subscribeNearTickers, function(nearTicker) {
var pos = nearEx.getFuPos(nearTicker.originalSymbol, ts)
if (pos.length != 0) {
Log(nearTicker.originalSymbol, pos)
throw "Initialized with a position"
}
})
// Construct nets
nets = []
_.each(pairs, function (pair) {
farEx.goGetAcc(pair.farTicker.originalSymbol, ts)
nearEx.goGetAcc(pair.nearTicker.originalSymbol, ts)
var obj = {
"symbol" : pair.symbol,
"farSymbol" : pair.farTicker.originalSymbol,
"nearSymbol" : pair.nearTicker.originalSymbol,
"initPrice" : (pair.nearTicker.ask1 + pair.farTicker.bid1) / 2,
"prePlus" : pair.farTicker.bid1 - pair.nearTicker.ask1,
"net" : createNet((pair.farTicker.bid1 - pair.nearTicker.ask1), diff, (pair.nearTicker.ask1 + pair.farTicker.bid1) / 2, true),
"initFarAcc" : farEx.getAcc(pair.farTicker.originalSymbol, ts),
"initNearAcc" : nearEx.getAcc(pair.nearTicker.originalSymbol, ts),
"farTicker" : pair.farTicker,
"nearTicker" : pair.nearTicker,
"farPos" : null,
"nearPos" : null,
}
nets.push(obj)
})
var currTotalEquity = getTotalEquity()
if (currTotalEquity) {
initTotalEquity = currTotalEquity
} else {
throw "Initialization to obtain total equity failed!"
}
} else {
// Recovery
nets = recoveryNets
initTotalEquity = recoveryInitTotalEquity
}
}
// Retrieve the grid and check if the trading is triggered
_.each(nets, function(obj) {
var currPlus = null
_.each(pairs, function(pair) {
if (pair.symbol == obj.symbol) {
currPlus = pair.plusDiff
obj.farTicker = pair.farTicker
obj.nearTicker = pair.nearTicker
}
})
if (!currPlus) {
Log("Not found", obj.symbol, " 's spread")
return
}
// Check grid, add dynamically
while (currPlus >= obj.net[obj.net.length - 1].price) {
obj.net.push({
sell : false,
price : obj.net[obj.net.length - 1].price + diff * obj.initPrice,
})
}
while (currPlus <= obj.net[0].price) {
var price = obj.net[0].price - diff * obj.initPrice
if (price <= 0) {
break
}
obj.net.unshift({
sell : false,
price : price,
})
}
// Search grid
for (var i = 0 ; i < obj.net.length - 1 ; i++) {
var p = obj.net[i]
var upP = obj.net[i + 1]
if (obj.prePlus <= p.price && currPlus > p.price && !p.sell) {
if (hedge(nearEx, farEx, obj.nearSymbol, obj.farSymbol, obj.nearTicker, obj.farTicker, hedgeAmount, OPEN_PLUS)) { // Positive hedging opening position
p.sell = true
}
} else if (obj.prePlus >= p.price && currPlus < p.price && upP.sell) {
if (hedge(nearEx, farEx, obj.nearSymbol, obj.farSymbol, obj.nearTicker, obj.farTicker, hedgeAmount, COVER_PLUS)) { // Positive hedging closing position
upP.sell = false
}
}
}
obj.prePlus = currPlus // Record the current spread as a cache, and use it to judge whether it's above the SMA or below the SMA next time
// Add other chart outputs
})
if (ts - preProfitPrintTS > 1000 * 60 * 5) { // Print every 5 minutes
var currTotalEquity = getTotalEquity()
if (currTotalEquity) {
totalEquity = currTotalEquity
LogProfit(totalEquity - initTotalEquity, "&") // Print dynamic equity profits
}
// Check positions
posTbls = [] // Reset, update
_.each(nets, function(obj) {
var currFarPos = farEx.getFuPos(obj.farSymbol)
var currNearPos = nearEx.getFuPos(obj.nearSymbol)
if (currFarPos && currNearPos) {
obj.farPos = currFarPos
obj.nearPos = currNearPos
}
var posTbl = {
"type" : "table",
"title" : obj.symbol,
"cols" : ["contract code", "amount", "price"],
"rows" : []
}
_.each(obj.farPos, function(pos) {
posTbl.rows.push([pos.symbol, pos.amount, pos.price])
})
_.each(obj.nearPos, function(pos) {
posTbl.rows.push([pos.symbol, pos.amount, pos.price])
})
posTbls.push(posTbl)
})
preProfitPrintTS = ts
}
// Show grid
var netTbls = []
_.each(nets, function(obj) {
var netTbl = {
"type" : "table",
"title" : obj.symbol,
"cols" : ["grid"],
"rows" : []
}
_.each(obj.net, function(p) {
var color = ""
if (p.sell) {
color = "#00FF00"
}
netTbl.rows.push([JSON.stringify(p) + color])
})
netTbl.rows.reverse()
netTbls.push(netTbl)
})
LogStatus(_D(), "total equity:", totalEquity, "initial total equity:", initTotalEquity, "floating profit and loss:", totalEquity - initTotalEquity,
"\n`" + JSON.stringify(tbl) + "`" + "\n`" + JSON.stringify(netTbls) + "`" + "\n`" + JSON.stringify(posTbls) + "`")
Sleep(interval)
}
}
function getTotalEquity() {
var totalEquity = null
var ret = exchange.IO("api", "GET", "/api/v5/account/balance", "ccy=USDT")
if (ret) {
try {
totalEquity = parseFloat(ret.data[0].details[0].eq)
} catch(e) {
Log("Failed to obtain the total equity of the account!")
return null
}
}
return totalEquity
}
function hedge(nearEx, farEx, nearSymbol, farSymbol, nearTicker, farTicker, amount, tradeType) {
var farDirection = null
var nearDirection = null
if (tradeType == OPEN_PLUS) {
farDirection = farEx.OPEN_SHORT
nearDirection = nearEx.OPEN_LONG
} else {
farDirection = farEx.COVER_SHORT
nearDirection = nearEx.COVER_LONG
}
var nearSymbolInfo = nearEx.getSymbolInfo(nearSymbol)
var farSymbolInfo = farEx.getSymbolInfo(farSymbol)
nearAmount = nearEx.calcAmount(nearSymbol, nearDirection, nearTicker.ask1, amount * nearSymbolInfo.multiplier)
farAmount = farEx.calcAmount(farSymbol, farDirection, farTicker.bid1, amount * farSymbolInfo.multiplier)
if (!nearAmount || !farAmount) {
Log(nearSymbol, farSymbol, "Order amount calculation error:", nearAmount, farAmount)
return
}
nearEx.goGetTrade(nearSymbol, nearDirection, nearTicker.ask1, nearAmount[0])
farEx.goGetTrade(farSymbol, farDirection, farTicker.bid1, farAmount[0])
var nearIdMsg = nearEx.getTrade()
var farIdMsg = farEx.getTrade()
return [nearIdMsg, farIdMsg]
}
function onexit() {
Log("Execute the tail function", "#FF0000")
_G("nets", nets)
_G("initTotalEquity", initTotalEquity)
Log("save the data:", _G("nets"), _G("initTotalEquity"))
}
Ucapan awam strategi:https://www.fmz.com/strategy/288559
Strategi ini menggunakan perpustakaan kelas templat yang ditulis oleh saya sendiri, yang tidak awam kerana ia tidak terlalu baik.
Jika anda berminat, anda boleh menggunakan bot simulasi OKEX V5 untuk menguji. Oh, dengan cara ini, strategi ini tidak boleh backtested~