抢盘口做市策略-高频逼近型.md

Name

抢盘口做市策略-高频逼近型

Author

Zero

Strategy Description

抢盘口做市策略, 最基础的做市策略，买一卖一抢单抢盘口, 赚买一卖一的差价. 比如现在卖1是60买1是70, 此策略会以65为中界，65以下布满买单，65以上布满卖单, 因为需要不停的调整订单布局，暂起名为高频逼近型 注意: 模拟测试GetTicker的买一卖一固定差价为1.6, 实际效果需要实盘测试

Strategy Arguments

Argument	Default	Description
Interval	2000	出错重试间隔(毫秒)
LoopInterval	60	轮询间隔(秒)
Step	0.1	网格间隔(元)
Lot	0.05	手数
MaxNets	20	最大网格数
DisableLog	false	关闭订单跟踪
MinStock	0.01	最小交易币数

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);
    }
}

Detail

https://www.fmz.com/strategy/348

Last Modified

2018-06-05 16:24:29