
Strategi yang dibawa oleh kuantifikasi FMZ ini ialahDeribit Option Strategi Lindung Nilai Dinamik Delta, dirujuk sebagai strategi DDH (dynamic delta hedging).
Model penentuan harga opsyen, model B-S, harga opsyen ditentukan berdasarkan [harga aset asas], [harga mogok], [masa yang tinggal hingga tamat tempoh], [kemeruapan (tersirat)] dan [kadar faedah tanpa risiko].
Pendedahan pilihan:
Contohnya: Apabila kami membeli pilihan panggilan, kami memegang kedudukan kenaikan harga. Pada masa ini, niaga hadapan pendek adalah perlu untuk melindung nilai Delta opsyen dan mencapai neutraliti Delta keseluruhan (0 atau hampir 0). Kami tidak akan mempertimbangkan faktor seperti baki masa untuk tamat tempoh kontrak opsyen dan turun naik buat masa ini. Kes 1: Apabila harga aset pendasar meningkat, Delta bahagian opsyen meningkat, dan Delta keseluruhan bergerak ke arah angka positif diperlukan untuk melindung nilai semula, dan sebahagian daripada kedudukan jual harus dibuka untuk meneruskan niaga hadapan untuk mengimbangi keseluruhan Delta lagi. (Sebelum pengimbangan semula, Delta pilihan adalah besar, manakala Delta niaga hadapan adalah agak kecil. Keuntungan marginal pilihan panggilan melebihi kerugian marginal kontrak pendek, dan keseluruhan portfolio akan mendapat keuntungan.)
Kes 2: Apabila harga aset pendasar jatuh, Delta bahagian opsyen berkurangan, dan Delta keseluruhan bergerak ke arah nombor negatif, menutup sebahagian daripada kedudukan niaga hadapan pendek untuk mengimbangi keseluruhan Delta semula. (Sebelum pengimbangan semula, Delta opsyen adalah kecil, manakala Delta hadapan adalah agak besar. Kerugian marginal opsyen panggilan adalah kurang daripada keuntungan marginal kontrak pendek, jadi keseluruhan portfolio masih akan mendapat keuntungan.)
Jadi idealnya, kedua-dua kenaikan dan kejatuhan aset asas akan menjana keuntungan, selagi terdapat turun naik pasaran.
Walau bagaimanapun, faktor lain yang perlu dipertimbangkan termasuk: nilai masa, kos transaksi, dsb.
Jadi saya petik penjelasan pakar Zhihu:
Gamma Scalping 的关注点并不是delta,dynamic delta hedging 只是过程中规避underlying价格风险的一种做法而已。
Gamma Scalping 关注的是Alpha,此Alpha不是选股的Alpha,这里的Alpha = Gamma/Theta也就是单位Theta的时间损耗换来多少Gamma,
这个是关注的点。可以构建出上涨和下跌都浮盈的组合,但一定伴随时间损耗,那问题就在于性价比了。
作者:许哲
链接:https://www.zhihu.com/question/51630805/answer/128096385
Kod sumber:
// 构造函数
function createManager(e, subscribeList, msg) {
var self = {}
self.supportList = ["Futures_Binance", "Huobi", "Futures_Deribit"] // 支持的交易所的
// 对象属性
self.e = e
self.msg = msg
self.name = e.GetName()
self.type = self.name.includes("Futures_") ? "Futures" : "Spot"
self.label = e.GetLabel()
self.quoteCurrency = ""
self.subscribeList = subscribeList // subscribeList : [strSymbol1, strSymbol2, ...]
self.tickers = [] // 接口获取的所有行情数据,定义数据格式:{bid1: 123, ask1: 123, symbol: "xxx"}}
self.subscribeTickers = [] // 需要的行情数据,定义数据格式:{bid1: 123, ask1: 123, symbol: "xxx"}}
self.accData = null
self.pos = null
// 初始化函数
self.init = function() {
// 判断是否支持该交易所
if (!_.contains(self.supportList, self.name)) {
throw "not support"
}
}
self.setBase = function(base) {
// 切换基地址,用于切换为模拟盘
self.e.SetBase(base)
Log(self.name, self.label, "切换为模拟盘:", base)
}
// 判断数据精度
self.judgePrecision = function (p) {
var arr = p.toString().split(".")
if (arr.length != 2) {
if (arr.length == 1) {
return 0
}
throw "judgePrecision error, p:" + String(p)
}
return arr[1].length
}
// 更新资产
self.updateAcc = function(callBackFuncGetAcc) {
var ret = callBackFuncGetAcc(self)
if (!ret) {
return false
}
self.accData = ret
return true
}
// 更新持仓
self.updatePos = function(httpMethod, url, params) {
var pos = self.e.IO("api", httpMethod, url, params)
var ret = []
if (!pos) {
return false
} else {
// 整理数据
// {"jsonrpc":"2.0","result":[],"usIn":1616484238870404,"usOut":1616484238870970,"usDiff":566,"testnet":true}
try {
_.each(pos.result, function(ele) {
ret.push(ele)
})
} catch(err) {
Log("错误:", err)
return false
}
self.pos = ret
}
return true
}
// 更新行情数据
self.updateTicker = function(url, callBackFuncGetArr, callBackFuncGetTicker) {
var tickers = []
var subscribeTickers = []
var ret = self.httpQuery(url)
if (!ret) {
return false
}
// Log("测试", ret)// 测试
try {
_.each(callBackFuncGetArr(ret), function(ele) {
var ticker = callBackFuncGetTicker(ele)
tickers.push(ticker)
if (self.subscribeList.length == 0) {
subscribeTickers.push(ticker)
} else {
for (var i = 0 ; i < self.subscribeList.length ; i++) {
if (self.subscribeList[i] == ticker.symbol) {
subscribeTickers.push(ticker)
}
}
}
})
} catch(err) {
Log("错误:", err)
return false
}
self.tickers = tickers
self.subscribeTickers = subscribeTickers
return true
}
self.getTicker = function(symbol) {
var ret = null
_.each(self.subscribeTickers, function(ticker) {
if (ticker.symbol == symbol) {
ret = ticker
}
})
return ret
}
self.httpQuery = function(url) {
var ret = null
try {
var retHttpQuery = HttpQuery(url)
ret = JSON.parse(retHttpQuery)
} catch (err) {
// Log("错误:", err)
ret = null
}
return ret
}
self.returnTickersTbl = function() {
var tickersTbl = {
type : "table",
title : "tickers",
cols : ["symbol", "ask1", "bid1"],
rows : []
}
_.each(self.subscribeTickers, function(ticker) {
tickersTbl.rows.push([ticker.symbol, ticker.ask1, ticker.bid1])
})
return tickersTbl
}
// 返回持仓表格
self.returnPosTbl = function() {
var posTbl = {
type : "table",
title : "pos|" + self.msg,
cols : ["instrument_name", "mark_price", "direction", "size", "delta", "index_price", "average_price", "settlement_price", "average_price_usd", "total_profit_loss"],
rows : []
}
/* 接口返回的持仓数据格式
{
"mark_price":0.1401105,"maintenance_margin":0,"instrument_name":"BTC-25JUN21-28000-P","direction":"buy",
"vega":5.66031,"total_profit_loss":0.01226105,"size":0.1,"realized_profit_loss":0,"delta":-0.01166,"kind":"option",
"initial_margin":0,"index_price":54151.77,"floating_profit_loss_usd":664,"floating_profit_loss":0.000035976,
"average_price_usd":947.22,"average_price":0.0175,"theta":-7.39514,"settlement_price":0.13975074,"open_orders_margin":0,"gamma":0
}
*/
_.each(self.pos, function(ele) {
if(ele.direction != "zero") {
posTbl.rows.push([ele.instrument_name, ele.mark_price, ele.direction, ele.size, ele.delta, ele.index_price, ele.average_price, ele.settlement_price, ele.average_price_usd, ele.total_profit_loss])
}
})
return posTbl
}
self.returnOptionTickersTbls = function() {
var arr = []
var arrDeliveryDate = []
_.each(self.subscribeTickers, function(ticker) {
if (self.name == "Futures_Deribit") {
var arrInstrument_name = ticker.symbol.split("-")
var currency = arrInstrument_name[0]
var deliveryDate = arrInstrument_name[1]
var deliveryPrice = arrInstrument_name[2]
var optionType = arrInstrument_name[3]
if (!_.contains(arrDeliveryDate, deliveryDate)) {
arr.push({
type : "table",
title : arrInstrument_name[1],
cols : ["PUT symbol", "ask1", "bid1", "mark_price", "underlying_price", "CALL symbol", "ask1", "bid1", "mark_price", "underlying_price"],
rows : []
})
arrDeliveryDate.push(arrInstrument_name[1])
}
// 遍历arr
_.each(arr, function(tbl) {
if (tbl.title == deliveryDate) {
if (tbl.rows.length == 0 && optionType == "P") {
tbl.rows.push([ticker.symbol, ticker.ask1, ticker.bid1, ticker.mark_price, ticker.underlying_price, "", "", "", "", ""])
return
} else if (tbl.rows.length == 0 && optionType == "C") {
tbl.rows.push(["", "", "", "", "", ticker.symbol, ticker.ask1, ticker.bid1, ticker.mark_price, ticker.underlying_price])
return
}
for (var i = 0 ; i < tbl.rows.length ; i++) {
if (tbl.rows[i][0] == "" && optionType == "P") {
tbl.rows[i][0] = ticker.symbol
tbl.rows[i][1] = ticker.ask1
tbl.rows[i][2] = ticker.bid1
tbl.rows[i][3] = ticker.mark_price
tbl.rows[i][4] = ticker.underlying_price
return
} else if(tbl.rows[i][5] == "" && optionType == "C") {
tbl.rows[i][5] = ticker.symbol
tbl.rows[i][6] = ticker.ask1
tbl.rows[i][7] = ticker.bid1
tbl.rows[i][8] = ticker.mark_price
tbl.rows[i][9] = ticker.underlying_price
return
}
}
if (optionType == "P") {
tbl.rows.push([ticker.symbol, ticker.ask1, ticker.bid1, ticker.mark_price, ticker.underlying_price, "", "", "", "", ""])
} else if(optionType == "C") {
tbl.rows.push(["", "", "", "", "", ticker.symbol, ticker.ask1, ticker.bid1, ticker.mark_price, ticker.underlying_price])
}
}
})
}
})
return arr
}
// 初始化
self.init()
return self
}
function main() {
// 初始化,清空日志
if(isResetLog) {
LogReset(1)
}
var m1 = createManager(exchanges[0], [], "option")
var m2 = createManager(exchanges[1], ["BTC-PERPETUAL"], "future")
// 切换为模拟盘
var base = "https://www.deribit.com"
if (isTestNet) {
m1.setBase(testNetBase)
m2.setBase(testNetBase)
base = testNetBase
}
while(true) {
// 期权
var ticker1GetSucc = m1.updateTicker(base + "/api/v2/public/get_book_summary_by_currency?currency=BTC&kind=option",
function(data) {return data.result},
function(ele) {return {bid1: ele.bid_price, ask1: ele.ask_price, symbol: ele.instrument_name, underlying_price: ele.underlying_price, mark_price: ele.mark_price}})
// 永续期货
var ticker2GetSucc = m2.updateTicker(base + "/api/v2/public/get_book_summary_by_currency?currency=BTC&kind=future",
function(data) {return data.result},
function(ele) {return {bid1: ele.bid_price, ask1: ele.ask_price, symbol: ele.instrument_name}})
if (!ticker1GetSucc || !ticker2GetSucc) {
Sleep(5000)
continue
}
// 更新持仓
var pos1GetSucc = m1.updatePos("GET", "/api/v2/private/get_positions", "currency=BTC&kind=option")
var pos2GetSucc = m2.updatePos("GET", "/api/v2/private/get_positions", "currency=BTC&kind=future")
if (!pos1GetSucc || !pos2GetSucc) {
Sleep(5000)
continue
}
// 交互
var cmd = GetCommand()
if(cmd) {
// 处理交互
Log("交互命令:", cmd)
var arr = cmd.split(":")
// cmdClearLog
if(arr[0] == "setContractType") {
// parseFloat(arr[1])
m1.e.SetContractType(arr[1])
Log("exchanges[0]交易所对象设置合约:", arr[1])
} else if (arr[0] == "buyOption") {
var actionData = arr[1].split(",")
var price = parseFloat(actionData[0])
var amount = parseFloat(actionData[1])
m1.e.SetDirection("buy")
m1.e.Buy(price, amount)
Log("执行价格:", price, "执行数量:", amount, "执行方向:", arr[0])
} else if (arr[0] == "sellOption") {
var actionData = arr[1].split(",")
var price = parseFloat(actionData[0])
var amount = parseFloat(actionData[1])
m1.e.SetDirection("sell")
m1.e.Sell(price, amount)
Log("执行价格:", price, "执行数量:", amount, "执行方向:", arr[0])
} else if (arr[0] == "setHedgeDeltaStep") {
hedgeDeltaStep = parseFloat(arr[1])
Log("设置参数hedgeDeltaStep:", hedgeDeltaStep)
}
}
// 获取期货合约价格
var perpetualTicker = m2.getTicker("BTC-PERPETUAL")
var hedgeMsg = " PERPETUAL:" + JSON.stringify(perpetualTicker)
// 从账户数据中获取delta总值
var acc1GetSucc = m1.updateAcc(function(self) {
self.e.SetCurrency("BTC_USD")
return self.e.GetAccount()
})
if (!acc1GetSucc) {
Sleep(5000)
continue
}
var sumDelta = m1.accData.Info.result.delta_total
if (Math.abs(sumDelta) > hedgeDeltaStep && perpetualTicker) {
if (sumDelta < 0) {
// delta 大于0 对冲期货做空
var amount = _N(Math.abs(sumDelta) * perpetualTicker.ask1, -1)
if (amount > 10) {
Log("超过对冲阈值,当前总delta:", sumDelta, "买入期货")
m2.e.SetContractType("BTC-PERPETUAL")
m2.e.SetDirection("buy")
m2.e.Buy(-1, amount)
} else {
hedgeMsg += ", 对冲下单量小于10"
}
} else {
// delta 小于0 对冲期货做多
var amount = _N(Math.abs(sumDelta) * perpetualTicker.bid1, -1)
if (amount > 10) {
Log("超过对冲阈值,当前总delta:", sumDelta, "卖出期货")
m2.e.SetContractType("BTC-PERPETUAL")
m2.e.SetDirection("sell")
m2.e.Sell(-1, amount)
} else {
hedgeMsg += ", 对冲下单量小于10"
}
}
}
LogStatus(_D(), "sumDelta:", sumDelta, hedgeMsg,
"\n`" + JSON.stringify([m1.returnPosTbl(), m2.returnPosTbl()]) + "`", "\n`" + JSON.stringify(m2.returnTickersTbl()) + "`", "\n`" + JSON.stringify(m1.returnOptionTickersTbls()) + "`")
Sleep(10000)
}
}
Parameter strategi:

Alamat strategi: https://www.fmz.com/strategy/265090


Strategi ini adalah strategi pengajaran, terutamanya untuk pembelajaran Sila gunakannya dengan berhati-hati dalam perdagangan sebenar.