Creating a personal stock app for LaMetric is super simple, all you need is create an account at developer.lametric.com and have an url with your data. Depending on how you want the data to appear, the format should be in json and how it appears in the creation process.
I used appengine to host my data and used the metric data format
Here is the python code
import urllib2 import json # get stocks data using yahoo finance stocks = ['0002.HK', '0005.HK', '0011.HK', '0992.HK', '0066.HK'] url = "http://query.yahooapis.com/v1/public/yql?q=select%20*%20from%20yahoo.finance.quotes%20where%20symbol%20in%20(%22" + ("%22%2C%22".join(stocks)) + "%22)%0A%09%09&env=http%3A%2F%2Fdatatables.org%2Falltables.env&format=json" result = urllib2.urlopen(url) data = json.loads(result.read()) # create frames based on the metric data format frames = [] for stock in data['query']['results']['quote']: …
I used appengine to host my data and used the metric data format
Here is the python code
import urllib2 import json # get stocks data using yahoo finance stocks = ['0002.HK', '0005.HK', '0011.HK', '0992.HK', '0066.HK'] url = "http://query.yahooapis.com/v1/public/yql?q=select%20*%20from%20yahoo.finance.quotes%20where%20symbol%20in%20(%22" + ("%22%2C%22".join(stocks)) + "%22)%0A%09%09&env=http%3A%2F%2Fdatatables.org%2Falltables.env&format=json" result = urllib2.urlopen(url) data = json.loads(result.read()) # create frames based on the metric data format frames = [] for stock in data['query']['results']['quote']: …
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