bittrex.md

description
Seamlessly integrate Bittrex with your favorite APIs, databases, and programming languages, using WayScript.

Bittrex

📥 Input

Certain modes collect data about the overall market, while others look up individual Tickers.

{% hint style="info" %} Tickers follow format 'Ticker 1-Ticker 2' where 1 unit of Ticker 2 is converted to Ticker 1.

Ex. Last Price for 'BTC-LTC' of 0.00832 means that 1 LTC = 0.00832 BTC. {% endhint %}

For ticker queries, you can select an option from the available list, or input your own.

⚙ Modes

The Following modes are available and the listed outputs can be retrieved as variables.

{% hint style="info" %} (Single): variables are single items

(List): variables are lists

_Note: '_JSON Data' is available for all modes and is always a single item. {% endhint %}

List of All Tickers (List)

Markets = [
    {
        market_name : String,
        min_trade_size : Float,
        created : Date,
        base_currency : String,
        base_currency_name : String,
        is_active : Bool,
        is_restricted : Bool,
        logo_url : Url,
        market_currency : String,
        market_currency_name : String,
    },
]

Current Data for a Ticker (Single)

Ticker = {
    market_name : String,
    ask : Float,
    bid : Float,
    last : Float,
}

Last 24 Hour Summaries of all Active Exchanges (List)

Market_Summaries = [
    {
        market_name : String,
        ask : Float,
        base_volume : Float,
        bid : Float, 
        created : Date,
        high : Float, 
        last : Float, 
        low : Float, 
        open_buy_orders : Float, 
        open_sell_orders: Float, 
        prev_day : Float, 
        timestamp : Date, 
        volume : Float, 
    },
]

Last 24 Hour Summary of a Ticker (Single)

Market_Summary = {
    ask : Float, 
    base_volume : Float, 
    bid : Float, 
    created : Date, 
    high : Float, 
    last : Float, 
    low : Float, 
    market_name : String, 
    open_buy_orders : Int, 
    open_sell_orders : Int, 
    prev_day : Float, 
    timestamp : Date, 
    volume : Float, 
}

Historical Market Data for a Ticker (List)

Historical_Date = [
    {
        fill_type : String, 
        id : Int, 
        order_type : String, 
        price : Float, 
        quantity : Float, 
        timestamp : Date,
        total : Float, 
        uuid : String, 
    },
]