Strategi EMA Double Multi-varieti Mata Wang Digital Spot (Tutorial)
Penulis:FMZ~Lydia, Dicipta: 2022-11-08 12:50:56, Dikemas kini: 2023-09-15 20:57:25
Pada permintaan pengguna komuniti yang ingin mempunyai strategi double-EMA pelbagai untuk rujukan reka bentuk. Dalam artikel ini, kami akan melaksanakan strategi double-EMA pelbagai. Komen akan ditulis pada kod strategi untuk pemahaman dan pembelajaran yang mudah. Biarkan lebih banyak pendatang baru dalam pengaturcaraan dan perdagangan kuantitatif mendapat permulaan yang cepat.
Idea strategi
Logik strategi EMA berganda sangat mudah, iaitu dua EMA. EMA (garis pantas) dengan tempoh parameter yang kecil dan EMA (garis perlahan) dengan tempoh parameter yang besar. Jika kedua-dua garis mempunyai salib emas (garis pantas melalui garis perlahan dari bawah ke atas), maka kita membeli dan pergi panjang; dan jika kedua-dua garis mempunyai salib mati (garis pantas melalui garis perlahan dari atas ke bawah), maka kita menjual dan pergi pendek.
Walau bagaimanapun, strategi harus direka sebagai pelbagai jenis, jadi parameter setiap jenis mungkin berbeza (jenis yang berbeza menggunakan parameter EMA yang berbeza), jadi kaedah
Parameter yang direka dalam bentuk rentetan, dengan setiap parameter koma dipisahkan. Menganalisis rentetan ini apabila strategi mula berjalan. Logik pelaksanaan sepadan dengan setiap varieti (pasangan perdagangan). Strategi berputar mengesan pasaran setiap varieti, pencetakan syarat perdagangan, cetakan carta, dan lain-lain. Selepas semua varieti berputar sekali, ringkasan data dan memaparkan maklumat jadual pada bar status.
Strategi ini direka untuk menjadi sangat mudah dan sesuai untuk pelajar baru, dengan hanya 200+ baris kod secara keseluruhan.
Kod strategi
// Function: cancel all takers of the current trading pair
function cancelAll(e) {
while (true) {
var orders = _C(e.GetOrders)
if (orders.length == 0) {
break
} else {
for (var i = 0 ; i < orders.length ; i++) {
e.CancelOrder(orders[i].Id, orders[i])
Sleep(500)
}
}
Sleep(500)
}
}
// Functionn: calculate the profit/loss in real-time
function getProfit(account, initAccount, lastPrices) {
// account is the current account information, initAccount is the initial account information, lastPrices is the latest price of all varieties
var sum = 0
_.each(account, function(val, key) {
// Iterate through all current assets, calculate the currency difference of assets other than USDT, and the amount difference
if (key != "USDT" && typeof(initAccount[key]) == "number" && lastPrices[key + "_USDT"]) {
sum += (account[key] - initAccount[key]) * lastPrices[key + "_USDT"]
}
})
// Return to the profit and loss of the asset based on the current prices
return account["USDT"] - initAccount["USDT"] + sum
}
// Function: generate chart configuration
function createChartConfig(symbol, ema1Period, ema2Period) {
// symbol is the trading pair, ema1Period is the first EMA period, ema2Period is the second EMA period
var chart = {
__isStock: true,
extension: {
layout: 'single',
height: 600,
},
title : { text : symbol},
xAxis: { type: 'datetime'},
series : [
{
type: 'candlestick', // K-line data series
name: symbol,
id: symbol,
data: []
}, {
type: 'line', // EMA data series
name: symbol + ',EMA1:' + ema1Period,
data: [],
}, {
type: 'line', // EMA data series
name: symbol + ',EMA2:' + ema2Period,
data: []
}
]
}
return chart
}
function main() {
// Reset all data
if (isReset) {
_G(null) // Clear data of all persistent records
LogReset(1) // Clear all logs
LogProfitReset() // Clear all return logs
LogVacuum() //Release the resources occupied by the real bot database
Log("Reset all data", "#FF0000") // Print messages
}
// Parameter analysis
var arrSymbols = symbols.split(",") // Comma-separated string of trading varieties
var arrEma1Periods = ema1Periods.split(",") // Parameter string for splitting the first EMA
var arrEma2Periods = ema2Periods.split(",") // Parameter string for splitting the second EMA
var arrAmounts = orderAmounts.split(",") // Splitting the amount of orders placed for each variety
var account = {} // Variables used for recording current asset messages
var initAccount = {} // Variables used for recording initial asset messages
var currTradeMsg = {} // Variables used for recording whether current BAR trades
var lastPrices = {} // Variables used for recording the latest price of monitored varieties
var lastBarTime = {} // Variable used for recording the time of the last BAR, used to judge the update of BAR when drawing
var arrChartConfig = [] // Used for recording chart configuration message and draw
if (_G("currTradeMsg")) { // For example, restore currTradeMsg data when restarting
currTradeMsg = _G("currTradeMsg")
Log("Restore records", currTradeMsg)
}
// Initialize account
_.each(arrSymbols, function(symbol, index) {
exchange.SetCurrency(symbol)
var arrCurrencyName = symbol.split("_")
var baseCurrency = arrCurrencyName[0]
var quoteCurrency = arrCurrencyName[1]
if (quoteCurrency != "USDT") {
throw "only support quoteCurrency: USDT"
}
if (!account[baseCurrency] || !account[quoteCurrency]) {
cancelAll(exchange)
var acc = _C(exchange.GetAccount)
account[baseCurrency] = acc.Stocks
account[quoteCurrency] = acc.Balance
}
// Initialize chart-related data
lastBarTime[symbol] = 0
arrChartConfig.push(createChartConfig(symbol, arrEma1Periods[index], arrEma2Periods[index]))
})
if (_G("initAccount")) {
initAccount = _G("initAccount")
Log("Restore initial account records", initAccount)
} else {
// Initialize the initAccount variable with the current asset information
_.each(account, function(val, key) {
initAccount[key] = val
})
}
Log("account:", account, "initAccount:", initAccount) // Print asset information
// Initialize the chart object
var chart = Chart(arrChartConfig)
// Chart reset
chart.reset()
// Strategy main loop logic
while (true) {
// Iterate through all varieties and execute the double-EMA logic one by one
_.each(arrSymbols, function(symbol, index) {
exchange.SetCurrency(symbol) // Switch the trading pair to the trading pair of symbol string record
var arrCurrencyName = symbol.split("_") // Split the trading pairs with the "_" symbol
var baseCurrency = arrCurrencyName[0] // String for trading currencies
var quoteCurrency = arrCurrencyName[1] // String for denominated currency
// Obtain the EMA parameters of the current trading pair according to the index
var ema1Period = parseFloat(arrEma1Periods[index])
var ema2Period = parseFloat(arrEma2Periods[index])
var amount = parseFloat(arrAmounts[index])
// Obtain the K-line data of the current trading pair
var r = exchange.GetRecords()
if (!r || r.length < Math.max(ema1Period, ema2Period)) { // Return directly if K-line length is insufficient
Sleep(1000)
return
}
var currBarTime = r[r.length - 1].Time // Record the current BAR timestamp
lastPrices[symbol] = r[r.length - 1].Close // Record the latest current price
var ema1 = TA.EMA(r, ema1Period) // Calculate EMA indicators
var ema2 = TA.EMA(r, ema2Period) // Calculate EMA indicators
if (ema1.length < 3 || ema2.length < 3) { // The length of EMA indicator array is too short, return directly
Sleep(1000)
return
}
var ema1Last2 = ema1[ema1.length - 2] // EMA on the penultimate BAR
var ema1Last3 = ema1[ema1.length - 3] // EMA on the third from the last BAR
var ema2Last2 = ema2[ema2.length - 2]
var ema2Last3 = ema2[ema2.length - 3]
// Write data to the chart
var klineIndex = index + 2 * index
// Iterate through the K-line data
for (var i = 0 ; i < r.length ; i++) {
if (r[i].Time == lastBarTime[symbol]) { // Draw the chart, update the current BAR and indicators
// update
chart.add(klineIndex, [r[i].Time, r[i].Open, r[i].High, r[i].Low, r[i].Close], -1)
chart.add(klineIndex + 1, [r[i].Time, ema1[i]], -1)
chart.add(klineIndex + 2, [r[i].Time, ema2[i]], -1)
} else if (r[i].Time > lastBarTime[symbol]) { // Draw the charts, add BARs and indicators
// add
lastBarTime[symbol] = r[i].Time // Update timestamp
chart.add(klineIndex, [r[i].Time, r[i].Open, r[i].High, r[i].Low, r[i].Close])
chart.add(klineIndex + 1, [r[i].Time, ema1[i]])
chart.add(klineIndex + 2, [r[i].Time, ema2[i]])
}
}
if (ema1Last3 < ema2Last3 && ema1Last2 > ema2Last2 && currTradeMsg[symbol] != currBarTime) {
// Golden cross
var depth = exchange.GetDepth() // Obtain the depth data of current order book
var price = depth.Asks[Math.min(takeLevel, depth.Asks.length)].Price // Take the 10th grade price, taker
if (depth && price * amount <= account[quoteCurrency]) { // Obtain deep data normally with enough assets to place an order
exchange.Buy(price, amount, ema1Last3, ema2Last3, ema1Last2, ema2Last2) // Place a buy order
cancelAll(exchange) // Cancel all makers
var acc = _C(exchange.GetAccount) // Obtain account asset information
if (acc.Stocks != account[baseCurrency]) { // Detect changes in account assets
account[baseCurrency] = acc.Stocks // Update assets
account[quoteCurrency] = acc.Balance // Update assets
currTradeMsg[symbol] = currBarTime // Record that the current BAR has been traded
_G("currTradeMsg", currTradeMsg) // Persistent records
var profit = getProfit(account, initAccount, lastPrices) // Calculate profits
if (profit) {
LogProfit(profit, account, initAccount) // Print profits
}
}
}
} else if (ema1Last3 > ema2Last3 && ema1Last2 < ema2Last2 && currTradeMsg[symbol] != currBarTime) {
// dead cross
var depth = exchange.GetDepth()
var price = depth.Bids[Math.min(takeLevel, depth.Bids.length)].Price
if (depth && amount <= account[baseCurrency]) {
exchange.Sell(price, amount, ema1Last3, ema2Last3, ema1Last2, ema2Last2)
cancelAll(exchange)
var acc = _C(exchange.GetAccount)
if (acc.Stocks != account[baseCurrency]) {
account[baseCurrency] = acc.Stocks
account[quoteCurrency] = acc.Balance
currTradeMsg[symbol] = currBarTime
_G("currTradeMsg", currTradeMsg)
var profit = getProfit(account, initAccount, lastPrices)
if (profit) {
LogProfit(profit, account, initAccount)
}
}
}
}
Sleep(1000)
})
// Table variables in the status bar
var tbl = {
type : "table",
title : "Account Information",
cols : [],
rows : []
}
// Write data into the status bar table structure
tbl.cols.push("--")
tbl.rows.push(["initial"])
tbl.rows.push(["current"])
_.each(account, function(val, key) {
if (typeof(initAccount[key]) == "number") {
tbl.cols.push(key)
tbl.rows[0].push(initAccount[key]) // initial
tbl.rows[1].push(val) // current
}
})
// Show status bar table
LogStatus(_D(), "\n", "profit:", getProfit(account, initAccount, lastPrices), "\n", "`" + JSON.stringify(tbl) + "`")
}
}
Ujian belakang strategi
Ia dapat dilihat bahawa ETH, LTC dan ETC dipicu mengikut Golden Cross dan Dead Cross EMA, dan perdagangan telah berlaku.
Kita juga boleh mengambil bot simulasi untuk ujian.
Kod sumber strategi:https://www.fmz.com/strategy/333783
Strategi ini digunakan untuk backtesting, pembelajaran reka bentuk strategi sahaja, dan ia harus digunakan dengan berhati-hati dalam bot sebenar.
Lebih lanjut