Hedge_BTC ETH Demo
BTC Testing the cross-asset hedging idea with ETH DEMO Draw charts based on price ratios, analyze price ratio changes, and look for arbitrage opportunities. Strategy feasibility unknown; interested students can study…
BTC Testing the cross-asset hedging idea with ETH DEMO Draw charts based on price ratios, analyze price ratio changes, and look for arbitrage opportunities. Strategy feasibility unknown; interested students can study it~
by littleDream
Parameters
| Name | Default | What it controls |
|---|---|---|
| Mode | 0 | Mode: BOLL | SMA |
Source JavaScript
/*exchanges
A : BTC
B : ETH
*/
var RateUpDateTime = new Date().getTime()
var UpDateCyc = 60 * 60 * 1000
var SumInCyc = 0
var AddCounts = 1
var RateArray = []
var BTC_hold_amount = 0
var ETH_hold_amount = 0
var IDLE = 0
var PLUS = 1
var STATE = IDLE
var fee_btc = {
buy : 0.2, // 0.2 % , Four thousandths
sell : 0.2
}
var fee_eth = {
buy : 0.2,
sell : 0.2
}
var ModeStr = ["BOLL", "SMA"][Mode]
function CalcPriceForNoFee(price, fee, type){
if(type == "buy"){
return price * (1 - fee / 100)
}else if(type == "sell"){
return price * (1 + fee / 100)
}
}
function loop(nowTime){
var depthA = exchanges[0].GetDepth()
var depthB = exchanges[1].GetDepth()
var sma120 = null
var sma10 = null
var boll = null
if(!depthA || !depthB || depthA.Asks.length == 0 || depthA.Bids.length == 0 || depthB.Asks.length == 0 || depthB.Bids.length == 0){
return
}
var Rate = CalcPriceForNoFee((depthA.Bids[0].Price + depthA.Asks[0].Price) / 2, 0.2, "buy") / CalcPriceForNoFee((depthB.Bids[0].Price + depthB.Asks[0].Price) / 2, 0.2, "sell")
if(nowTime - RateUpDateTime > UpDateCyc){
RateArray.push(Rate)
$.PlotLine("avgRate", RateArray[RateArray.length - 2], RateUpDateTime)
if(RateArray.length > 60){
if(ModeStr == "SMA"){
sma120 = talib.SMA(RateArray, 60)
sma10 = talib.SMA(RateArray, 10)
$.PlotLine("sma120", sma120[sma120.length - 2], RateUpDateTime)
$.PlotLine("sma10", sma10[sma10.length - 2], RateUpDateTime)
}else if(ModeStr == "BOLL"){
boll = TA.BOLL(RateArray, 20, 2.5)
$.PlotLine("up", boll[0][boll[0].length - 2], RateUpDateTime)
$.PlotLine("down", boll[2][boll[2].length - 2], RateUpDateTime)
}
}
RateUpDateTime += UpDateCyc
SumInCyc = 0
AddCounts = 1
}else{
SumInCyc += Rate
AddCounts++
RateArray[RateArray.length - 1] = (SumInCyc / AddCounts)
$.PlotLine("avgRate", RateArray[RateArray.length - 1], RateUpDateTime)
if(RateArray.length > 60){
if(ModeStr == "SMA"){
sma120 = talib.SMA(RateArray, 60)
sma10 = talib.SMA(RateArray, 10)
$.PlotLine("sma120", sma120[sma120.length - 1], RateUpDateTime)
$.PlotLine("sma10", sma10[sma10.length - 1], RateUpDateTime)
}else if(ModeStr == "BOLL"){
boll = TA.BOLL(RateArray, 20, 2.5)
$.PlotLine("up", boll[0][boll[0].length - 1], RateUpDateTime)
$.PlotLine("down", boll[2][boll[2].length - 1], RateUpDateTime)
}
}
}
if(ModeStr == "SMA"){
if(STATE == IDLE && (sma120 && sma10) && sma120[sma120.length - 2] > sma10[sma10.length - 2] && sma120[sma120.length - 1] < sma10[sma10.length - 1]){
// PLUS
var SellInfo = $.Sell(exchanges[1], 5)
var sumMoney = SellInfo.price * SellInfo.amount
var amount = _N(sumMoney / depthA.Asks[0].Price, 2)
var BuyInfo = $.Buy(exchanges[0], amount)
ETH_hold_amount = SellInfo.amount
BTC_hold_amount = amount
STATE = PLUS
// throw "stop" // ceshi
}
if(STATE == PLUS && (sma120 && sma10) && sma120[sma120.length - 2] < sma10[sma10.length - 2] && sma120[sma120.length - 1] > sma10[sma10.length - 1]){
// COVER
var BuyInfo = $.Buy(exchanges[1], ETH_hold_amount)
var SellInfo = $.Sell(exchanges[0], BTC_hold_amount)
ETH_hold_amount = 0
BTC_hold_amount = 0
STATE = IDLE
Log(exchanges[0].GetAccount(), exchanges[1].GetAccount())
}
}
}
function main() {
var AccountA = exchanges[0].GetAccount()
var AccountB = exchanges[1].GetAccount()
Log("AccountA:", AccountA, "AccountB:", AccountB)
while(true){
var beginTime = new Date().getTime()
loop(beginTime)
Sleep(500)
}
}Published by 发明者量化-小小梦 on the FMZ strategy square · last modified 2017-07-25. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.
Build this with AgenKit
A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.
/agenkit build a spread arbitrage engine with WebSocket order routing and leg-risk controls from strategies/Hedge_BTC-ETH-Demo.md- npx agenkit install engineering-kit in your project
- Paste the command into your agent and approve each phase
- Get tests, backtest, risk controls and a paper-trading switch
Understand it first
Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.
Related specs
- Arbitrage ChartJavaScript · Arbitrage
- multiple auxiliary RSI indicator strategyPine Script · Arbitrage · 1d
- Dual Reversal Arbitrage StrategyPine Script · Arbitrage · 1h
- Oscillating Market Long StrategyPine Script · Arbitrage · 1d
- Comparative Relative Strength StrategyPine Script · Arbitrage · 1d
- Cross Cycle Arbitrage Strategy Based on Multiple IndicatorsPine Script · Arbitrage · 1h