0bps

Strategy vault / Other

60 Line Triangle Hedging Strategy Teaching

- For Example A exchange : ETH BTC B exchange : ETH USDT C Exchange (actually it is another trading pair of Exchange B, logically it isC.) : BTC USDT - B ,C The exchange trading pair is composed of ETH BTC and A…

JavaScriptOther
Author
发明者量化-小小梦
Complexity
Starter · 61 lines
Parameters
0

Triangle hedging teaching strategy

Principle

  • For Example A exchange : ETH_BTC B exchange : ETH_USDT C Exchange (actually it is another trading pair of Exchange B, logically it isC.) : BTC_USDT

  • B ,C The exchange trading pair is composed of ETH_BTC and A exchange hedging. In this way BC is actually an exchange account.

Optimize space

  • Coin Balance.
  • Calculate the hedging spread based on the handling rate and the dynamic spread.
  • Moving bricks hard.
  • Order book depth scanning to calculate the best hedge amount. .....

BUGFeedback

  • If there are errors, feel free to leave a message.

Source JavaScript

// The trading pair is ETH_BTC , ETH_USDT , BTC_USDT As an Example
// There is still a lot of room for optimization in teaching strategies, such as: currency balance module, controlling hedging differences based on handling rates, hard copying, etc.
function main () {                                                                                      
    if (exchanges[0].GetQuoteCurrency() != exchanges[2].GetCurrency().split("_")[0] || 
        exchanges[0].GetCurrency().split("_")[0] != exchanges[1].GetCurrency().split("_")[0]) {
        throw "Exchange trading pair configuration error."
    }
    var marketSlideRate = 1 // 1.02
    var hedgeDiff = 0.0007
    var hedgeAmount = 0.1
    var isFirst = true
    var concurrenter = function (funcName, isWait, tasks, amounts) {
        for (var i = 0 ; i < exchanges.length; i++) {
            if (isFirst) {
                exchanges[i].acc = _C(exchanges[i].GetAccount)
                exchanges[i].initAcc = exchanges[i].acc
            }
            if (isWait) {
                var a = funcName == "GetTicker" ? exchanges[i].ticker = exchanges[i].tiR.wait() : exchanges[i].id = exchanges[i].trR.wait()
                if (funcName == "trade") {
                    exchanges[i].acc = _C(exchanges[i].GetAccount)
                }
            } else {
                var b = funcName == "GetTicker" ? exchanges[i].tiR = exchanges[i].Go(funcName) : exchanges[i].trR = exchanges[i].Go(tasks[i], -1, amounts[i], exchanges[i].GetCurrency())
            }
        }
        if (funcName == "trade" && isWait) {
            Log("BTC:", exchange.BTC = exchanges[0].acc.Balance + exchanges[2].acc.Stocks, "ETH:", exchange.ETH = exchanges[0].acc.Stocks + exchanges[1].acc.Stocks, "USDT:", 
                exchange.USDT = exchanges[1].acc.Balance + exchanges[2].acc.Balance, "#FF0000")
            LogProfit(exchange.USDT - (exchanges[1].initAcc.Balance + exchanges[2].initAcc.Balance) - 
                (exchanges[0].initAcc.Balance + exchanges[2].initAcc.Stocks - exchange.BTC) * exchanges[2].ticker.Last -
                (exchanges[0].initAcc.Stocks + exchanges[1].initAcc.Stocks - exchange.ETH) * exchanges[1].ticker.Last)
        }
        isFirst = false
    }

    while (1) {
        concurrenter("GetTicker", false)
        concurrenter("GetTicker", true)
        var tickerA = exchanges[0].ticker
        var tickerB = exchanges[1].ticker
        var tickerC = exchanges[2].ticker

        var tickerBC = {
            Buy : tickerB.Buy / tickerC.Sell,
            Sell : tickerB.Sell / tickerC.Buy,
        }

        if (tickerA.Buy - tickerBC.Sell > hedgeDiff && exchanges[0].acc.Stocks > 0.2 && exchanges[1].acc.Balance > 500 && exchanges[2].acc.Stocks > 0.03) {                          // Sell A , Buy BC (Buy B Sell C)
            concurrenter("trade", false, ["Sell", "Buy", "Sell"], [hedgeAmount, marketSlideRate * tickerB.Sell * hedgeAmount, tickerB.Sell * hedgeAmount / tickerC.Buy])
            concurrenter("trade", true)
        }
        if (tickerBC.Buy - tickerA.Sell > hedgeDiff && exchanges[0].acc.Balance > 0.03 && exchanges[1].acc.Stocks > 0.2 && exchanges[2].acc.Balance > 500) {                          // Buy A , Sell BC (...)
            concurrenter("trade", false, ["Buy", "Sell", "Buy"], [marketSlideRate * hedgeAmount * tickerA.Sell, hedgeAmount, marketSlideRate * hedgeAmount * tickerA.Sell * tickerC.Sell])
            concurrenter("trade", true)
        }
        Sleep(500)
    }
}

Published by 发明者量化-小小梦 on the FMZ strategy square · last modified 2019-04-16. 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.

in Claude Code, Cursor, Codex & 4 more
/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/60-Line-Triangle-Hedging-Strategy-Teaching.md
  1. npx agenkit install engineering-kit in your project
  2. Paste the command into your agent and approve each phase
  3. 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

esc

Try , , or .

↑↓ move↵ open