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Actforex api

Опубликовано в Vest trial | Октябрь 2, 2012

actforex api

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However, selling a house typically requires taxes, realtor fees, and other costs, in addition to time. Real estate or land also takes much longer to exchange into cash, relative to other assets. Both measures deal with different constructs or entities entirely, though are useful metrics with regards to individuals or financial markets.

This can include among others, a real estate or property market, market for fine arts and collectable, and other goods. The degree to which stocks from large companies or foreign currencies can be exchanged is much easier than finding a readily available market for antiques, collectables, or other capital, regardless of utility.

This is because the difference between both the bid and ask prices between parties is very low. The lower the spread between these two prices, the more liquid a given market is. Additionally, low liquidity refers to a higher spread between two prices. One can define liquidity in stocks or stock markets in the same way as in foreign exchange markets, brokers, commodities exchanges, and crypto exchanges.

The foreign exchange market for example is currently the largest by trading volume with high liquidity due to cash flows. This is hardly surprising given that forms of cash or currencies are being exchanged. By definition, liquidity in stocks varies for a number of reasons. Stocks with low liquidity may be difficult to sell and may cause you to take a bigger loss if you cannot sell the shares when you want to.

In finance, the most liquid assets are always the most popular. A good example of this is the real estate or property market. While highly valuable, there are large disparities between the purchase price and selling price of property, as well as the time associated in making these transactions, and additional fees incurred by other parties. Liquidity providers play a key role in this regard. Accounting liquidity is a measure by which either an individual or entity can meet their respective current financial obligations with the current liquid assets available to them.

This includes paying off debts, overhead, or any other fixed costs associated with a business. In the United States and other countries, companies and individuals have to reconcile accounting on a yearly basis. Accounting liquidity is an excellent measure that captures financial obligations due in a year. These measures are useful tools for not just the individual or company in focus but for others that are trying to ascertain current financial health.

If there is a large disparity between these figures, or much more assets than obligations, a company can be considered to have a strong depth of liquidity. This can be achieved using a total of four formulas: the current ratio, quick ratio, acid-test variation, and cash ratio.

Highly liquid assets will correspond to higher numbers in this regard. Conversely, any number less than 1 indicates that current liquid assets are not enough to cover short-term obligations. Unlike the current ratio, the quick ratio excludes current assets that are not as liquid as cash, cash equivalents, or other shorter-term investments. The acid-test ratio seeks to deduct inventory from current assets, serving as a traditionally broader measure that is more forgiving to individuals or entities.

In this sense, the cash ratio is the most precise of the other liquidity ratios, excluding accounts receivable, inventories, or other assets. In the financial services space, even large companies or profitable institutions can find themselves at liquidity risk due to unexpected events beyond their control.

Liquid markets benefit all market participants and make it easier to buy and sell securities, stocks, collectables, etc. Additionally, high liquidity promotes financial health in companies in the same way it does for individuals. This metric is a commonly used as a measure in the investing, banking, or financial services space.

Liquidity determines how quickly a given asset can be bought, sold, or exchanged without a disparity in market price. Of all assets, cash or money is the most liquid, meaning it is the easiest to utilize. All other liquid assets must be able to be quickly and efficiently converted into cash.

However, high liquidity is associated with lower risk, while a liquid stock is more likely to keep its value when being traded. Is a Home a Liquid Asset? Selling any property can incur additional costs and take a long amount of time. Additionally, there is often a price disparity from the time of purchase, meaning a seller may not even get its original market value back at the time of the sale.

Additionally, the company is a popular single-stock CFD offering at many brokerages, with very high volumes. Until you are eligible to withdraw or collect a pension, without early withdrawal penalty, it is not considered a liquid asset. The term liquidity refers to the process, speed, and ease of which a given asset or security can be converted into cash.

Read this Term providers. Currently, through its liquidity partners, ActForex provides access to over 20 Tier1 banks and financial institutions. As always ActForex is putting an emphasis on expanding dealers functionality within ActDealer by enhancing usability, adding new features, and advancing Risk Management Risk Management One of the most common terms utilized by brokers, risk management refers to the practice of identifying potential risks in advance.

Most commonly, this also involves the analysis of risk and the undertaking of precautionary steps to both mitigate and prevent for such risk. Such efforts are essential for brokers and venues in the finance industry, given the potential for fallout in the face of unforeseen events or crises. Why Risk Management is a Fixture Among BrokersTraditionally the company is employing a risk management team that is monitoring the exposure of the brokerage and the performance of select clients which it deems risky for the business.

Common financial risks also come in the form of high inflation, volatility across capital markets, recession, bankruptcy, and others. As a countermeasure to these issues, brokers have looked to minimize and control the exposure of investment to such risks. In the modern hybrid mode of operation, brokers are sending out the flows from the most profitable clients to liquidity providers and internalize the flows from customers. You can only call this API from the parent account.

Response code value 0 indicates successful transfer and info echos the request parameters. Please refer to python code to transfer token among different sub users. This api allows to fetch balance transfer history among different sub users based on given filtering conditions. Response code value 0 indicates successful query and data shows query result.

Please refer to python code to transfer history among different sub users. Here we provide rest API to get daily balance snapshot, and intraday balance and order fills update details. Please refer to python code to query balance snapshot. Please refer to python code to query deposit addresses. We do support API withdrawals.

Please contact your dedicated sales manager or support ascendex. Please refer to python code to query wallet transactions. If a valid id value is provided when placing order, order Id from server side is pre-determined. This could be helpful for order status check in case of accidently internet connection issue. Please refer to python code to gen server order id. Set account-category to cash for cash account and margin for margin account. The table below shows how to correctly configure order of different types: o - required, x - optional.

When placing a new limit order, the request parameters must meet all criteria defined in the Products API :. In "Err" response, id is the id provided by user when placing order; for other responses, orderId is the id generated by server following "Order id generation method" above, and this is the id you should provide for future order query or cancel. In case you want to cancel an order before response from server, you could figure out the orderId following Order id generation method above.

Response with 0 code and status Ack to indicate new order request received by our server and passed some basic order field check. This is the default response type. Return normal 'Ack' response if no 'New' status update within 5 seconds. Order status in data could be New , or PendingNew.

Response with 0 code and status Done to indicate the order request is partially filled, fully filled, or rejected by matching engine. Return normal 'Ack' response if no order status update within 5 seconds. Response with code other than 0 and status Err to provide detailed error information on the order request. Refer to sample python code to place order. Response with status "Ack" to indicate the cancel order request is received by server.

And you should use provided "orderId" to check cancel status in the future; we also echo back id from your request for reference purpose. Response with status "Err" to indicate there is something wrong with the cancel order request. We echo back the coid field in your request.

Refer to sample python code to cancel order. Response include code and data , and status Ack in field data to indicate cancel all order request is received by server. Refer to sample python code to cancel all order.

The server will process the cancel all request with best effort. Orders sent but un-acked will not be canceled. You should rely on websocket order update messages or the RESTful api to obtain the latest status of each order. Place multiple orders in a batch. If some order in the batch failed our basic check, then the whole batch request fail. You may submit up to 10 orders at a time. Server will respond with error if you submit more than 10 orders. Field "info" includes server generated "coid" for each order in the batch request, and this is the id you should use for future status query.

Non 0 code and status ERR to indicate the batch order request is accepted by server. Field info includes detailed order information to explain why the batch request fail for each individual order. Please refer to python code to place batch order. Cancel multiple orders in a batch. If some order in the batch failed our basic check, then the whole batch request failed. Response with code as 0 to indicate batch is successfuly received by server and pass some basic check.

Order detail for each order is in info field list. Response with non 0 code and status "Err" to explain detailed failure reason for each order in the batch request. Error detail for each order is in info field. Returns a list order information in data field. Please use orderId field to match with your order. Please refer to python code to get order status. Please refer to python code to get open orders. This API returns all current history orders for the account specified.

Please refer to python code to get recent hist orders. This API has been deprecated, please use list order history v2 instead. If you still want to use the already deprecated api, please refer to List History Orders Deprecated. This API returns history orders according to specified parameters up to records.

You have access to at least 30 days of order history. Rule for combination usage of startTime , endTime , and seqNum :. To retrieve the full history of orders, it is recommended to use seqNum and follow the procedure below:. Please refer to python code to get hist orders.

If the server doesn't receive any client message after a while, it will send a ping message to the client. Once the ping message is received, the client should promptly send a pong message to the server. If you missed two consecutive ping messages, the session will be disconnected.

You can also send ping message to the server every 15 seconds to keep the connection alive. The server will stop sending ping message for 30 seconds if a client initiated ping message is received. You must authenticate the websocket session in order to recieve private data and send account specific requests e.

Once you successfully connect to the websocket, you will receive a connected message:. If the session is disconnected for some reason, you will receive a disconnected message:. This is similar to the way you authenticate any RESTful request.

You need to add the following header fields to the connection request:. The server will then check if the data is correctly signed before upgrading the connection protocol to WebSocket. Note that if you specify these header fields, the server will reject the websocket connection request if authentication fails. You can also authenticate a live websocket session by sending an op:auth message to the server. Symbol in ref-px is single asset symbol e.

BTC , not trading pair symbol e. Subscribe to a single symbol e. When sub or unsub from multiple symbols, we may ack symbol by symbol, or ack in one single message. You can subscribe to multiple data channels by sending multiple subscription messages. However, the exchange limits the total number of data channels per client NOT per session according to the following rules:.

If you want to keep track of the most recent order book snapshot in its entirety, the most efficient way is to subscribe to the depth channel. Each depth message contains a bids list and an asks list in its data field. Each list contains a series of [price, size] pairs that you can use to update the order book snapshot. In the message, price is always positive and size is always non-negative. See Orderbook Snapshot for code examples. The data field is a list containing one or more trade objects.

The server may combine consecutive trades with the same price and bm value into one aggregated item. Each trade object contains the following fields:. Note: once you subscribe to the order channel, you will start receiving messages from the balance channel automatically. If you unsubscribe from the order channel, you will simultaneously unsubscribe from the balance channel. You need to specify the account when subscribing to the order channel.

You could specify account category cash , margin , or specific account id. The data field is a single order udpate object. Each order update object contains the following fields:. Besides subscript mesages, you could also send request message via websocket.

You will receive exactly one message regarding each request message. Here are some use cases:. Please note that field seqnum should strictly increase by 1 for each new depth update each symbol maintain its own seqnum. If you see a larger than 1 gap from previous seqnum for the same symbol , then there might be data loss, you need to repeat above steps to maintain a new order book.

The depth-snapshot message is constructed in a consistent way with all depth message. Please note that the depth-snapshot API has higher latency. The response time is usually between - milliseconds. It is intended to help you initialize the orderbook, not to be used to obtain the timely order book data. Make new order request follow the general websocket request rule, with proper place new order parameters as specified in rest api for args field.

Respond with m field as order , and action field as place-order ; status field to indicate if this is a successful Ack or failed Err. With status field as Ack to indicate this new order request pass some basic sanity check, and has been sent to matching engine. With status field as Err to indicate there is some obvisous errors in your order.

Make order cancelling request follow the general websocket request rule by setting action to be cancel-orde , with proper cancel order parameters as specified in rest api for args field. With status field as Ack to indicate this cancel order request pass some basic sanity check, and has been sent to matching engine.

With status field as Err to indicate there is some obvisous errors in your cancel order request. Make general websocket request with action field as cancel-All and set proper account value cash , or margin , and provide time value in args.

With status field as Ack to indicate this cancel all order request has been received by server and sent to matching engine. The symbols key in the args map allows you to customize the symbol filter in a flexible way:. WebSocket messages from the default depth channel are throttled with milliseconds throttling intervals. If you want to subscribe to realtime orderbook updates, please refer to this article. By default, when you subscribe to the order channel via WebSocket, you automatically enter the New Ack Mode.

This is true even when the order will immediately change status. For instance, when you place a Post-only order that crosses the book, it will immediately be rejected. This makes it hard for trading bots to decide when to take actions. To address this issue, we introduced the Ready Ack mode.

Follow this link for more details. Rich format error is derived from simple error, so you could get error message with same error code and reason , but different message content. We usually provide rich format errors based on these simple ones. You may also use asynchronized method to achieve minimum latency. Simplified API schemas. For instance, we simplified the cancel order logic, now you can track the entire order life cycle with only one indentifier orderId. More detailed error message.

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