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Strategy vault / Market making

Market Making Strategy of Grabbing the Market Position High Frequency Approaching Type

Market making strategy, the most basic market-making strategy: buy-sell-one-grab order to capture the market open, earning the price difference between buy and sell. For example, if you sell 1 for 60 and buy 1 for…

JavaScriptMarket making
Author
Zero
Complexity
Intermediate · 117 lines
Parameters
7

Market making strategy, the most basic market-making strategy: buy-sell-one-grab order to capture the market open, earning the price difference between buy and sell. For example, if you sell 1 for 60 and buy 1 for 70, this strategy will use 65 as the middle boundary. Below 65, there will be buy orders, and above 65, there will be sell orders. Because the order layout needs to be constantly adjusted, it is temporarily named high-frequency approaching type. Note: In simulated testing, GetTicker's bid-ask fixed spread is 1.6; actual results need live trading testing.

Parameters

NameDefaultWhat it controls
Interval2000Error retry interval (milliseconds)
LoopInterval60Polling interval (seconds)
Step0.1Grid interval (yuan))
Lot0.05Number of lots
MaxNets20Maximum number of grids
DisableLogfalseClose order tracking
MinStock0.01Minimum trading coin quantity

Source JavaScript

function adjustFloat(v) {
    return Math.floor(v*100)/100;
}

function GetOrders() {
    var orders = null;
    while (!(orders = exchange.GetOrders())) {
        Sleep(Interval);
    }
    return orders;
}

function GetAccount() {
    var account;
    while (!(account = exchange.GetAccount())) {
        Sleep(Interval);
    }
    return account;
}

function GetTicker(e) {
    if (typeof(e) == 'undefined') {
        e = exchange;
    }
    var ticker;
    while (!(ticker = e.GetTicker())) {
        Sleep(Interval);
    }
    return ticker;
}

function updateProfit(accountInit, accountNow, ticker) {
    var netNow = accountNow.Balance + accountNow.FrozenBalance + ((accountNow.Stocks + accountNow.FrozenStocks) * ticker.Buy);
    var netInit = accountInit.Balance + accountInit.FrozenBalance + ((accountInit.Stocks + accountInit.FrozenStocks) * ticker.Buy);
    LogProfit(adjustFloat(netNow - netInit));
}

var InitAccount = null;
var LastOrdersLength = null;

function onTick() {
    var ticker = GetTicker();
    var account = GetAccount();
    var orders = GetOrders();
    if (LastOrdersLength != null && LastOrdersLength != orders.length) {
        updateProfit(InitAccount, account, ticker);
    }
    LastOrdersLength = orders.length;
    
    var mid = adjustFloat(ticker.Buy + ((ticker.Sell - ticker.Buy) / 2));
    var numBuy = parseInt(Math.min(MaxNets / 2 , (mid - ticker.Buy) / Step, account.Balance / ticker.Buy / Lot));
    var numSell = parseInt(Math.min(MaxNets / 2, account.Stocks / Lot));
    var num = Math.max(numBuy, numSell);
    var ordersKeep = [];
    var queue = [];
    for (var i = 1; i < num; i++) {
        var buyPrice = adjustFloat(mid - (i * Step));
        var sellPrice = adjustFloat(mid + (i * Step));
        var alreadyBuy = false;
        var alreadySell = false;
        for (j = 0; j < orders.length; j++) {
            if (orders[j].Type == ORDER_TYPE_BUY) {
                if (Math.abs(orders[j].Price - buyPrice) < (Step / 2)) {
                    alreadyBuy = true;
                    ordersKeep.push(orders[j].Id);
                }
            } else {
                if (Math.abs(orders[j].Price - sellPrice) < (Step / 2)) {
                    alreadySell = true;
                    ordersKeep.push(orders[j].Id);
                }
            }
        }
        if ((!alreadyBuy) && (i < numBuy)) {
            queue.push([buyPrice, ORDER_TYPE_BUY]);
        }
        if ((!alreadySell) && (i < numSell)) {
            queue.push([sellPrice, ORDER_TYPE_SELL]);
        }
    }

    for (var i = 0; i < orders.length; i++) {
        var keep = false;
        for (var j = 0; j < ordersKeep.length; j++) {
            if (orders[i].Id == ordersKeep[j]) {
                keep = true;
            }
        }
        if (!keep) {
            exchange.CancelOrder(orders[i].Id);
            LastOrdersLength--;
        }
    }

    for (var i = 0; i < queue.length; i++) {
        if (queue[i][1] == ORDER_TYPE_BUY) {
            exchange.Buy(queue[i][0], Lot);
        } else {
            exchange.Sell(queue[i][0], Lot);
        }
        LastOrdersLength++;
    }
}

function main() {
    if (DisableLog) {
        EnableLog(false);
    }
    InitAccount = GetAccount();
    Log(InitAccount);
    LoopInterval = Math.max(LoopInterval, 1);
    Lot = Math.max(MinStock, Lot);
    while (true) {
        onTick();
        Sleep(LoopInterval * 1000);
    }
}

Published by Zero on the FMZ strategy square · last modified 2018-06-05. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

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