New Data Feeds #1

We just added some new data feeds to the website that are accessible by in-world objects.

Some of you may be aware of the existing homepage stats feed
http://secondlife.com/xmlhttp/secondlife.php

It returns:

• signups (in # of accounts): number of Resident accounts that are open and in good standing; updated daily
• logged_in_last_60 (in # of accounts): number of Resident accounts that have logged in in the past 60 days; updated daily
• transactions (in US$): amount of resident-to-resident L$ transactions for past 24 hours divided by the average LindeX exchange rate for past 24 hours; updated every 30 minutes
• inworld (in # of accounts): number of Resident accounts currently logged in; updated every 3 minutes

There are now two other ways to get that data:

• http://secondlife.com/xmlhttp/homepage.php in LLSD formatted XML
• http://secondlife.com/httprequest/homepage.php in newline separated key-value pairs; this can be read via llHTTPRequest()

These feeds include timestamps for each value. 

Additionally, there is now a LindeX data feed available at:

• http://secondlife.com/xmlhttp/lindex.php in LLSD formatted XML
• http://secondlife.com/httprequest/lindex.php in newline separated key-value pairs; this can be read via llHTTPRequest()

The LindeX feeds are updated every 15 minutes and include one set of timestamps.

They contain five major groupings of information:

limit_buy and limit_sell

These two groups contain data about a subset of the limit orders on the market.  They show the L$ quantity wanted/available and the exchange rate range of best ten percent of limit orders.

Notably absent is any information about fills on limit buy or limit sell orders.  That is because that information can be derived from the data contained in the other three groups.  Please see below.

limit_buy_to_limit_sell, market_buy, and market_sell

These three groups contain cummulative data for given intervals.  The current list of intervals is:

• 1_hour – the past 60 minutes
• 1_day – the past 24 hours
• today – everything since the previous midnight SLT

Within these intervals is the following data:

• min_rate – numerically smallest rate of exchange
• max_rate – numerically largest rate of exchange
• l$_volume – number of L$ exchanged
• us$_volume – number of US$ exchanged (before fees)

From these groupings of data you can calculate the following groupings by summing the volume data for both L$ and US$, and finding the smallest min_rate and largest max_rate:

• total - use limit_buy_to_limit_sell, market_buy, and market_sell
• limit_buy – use limit_buy_to_limit_sell and market_sell
• limit_sell – use limit_buy_to_limit_sell and market_buy

Average exchange rates can be calculated by dividing l$_volume by us$_volume.

For example, to calculate today’s average exchange rate you can use this formula:

(limit_buy_to_limit_sell:today:l$_volume + market_buy:today:l$_volume + market_sell:today:l$_volume) / (limit_buy_to_limit_sell:today:us$_volume + market_buy:today:us$_volume + market_sell:today:us$_volume)

Running out of room in this blog post, script examples to follow…