i want to list all available industries ( like: http://biz.yahoo.com/p/ ) and show all corresponding stocks.
Until now I'm using YAHOO.Finance.SymbolSuggest.ssCallback for the symbol suggestion and http://finance.yahoo.com/d/quotes.csv?s=... for getting the stock's data.
Does anyone have any idea how to get all industries and corresponding stocks?
Is there another hidden Yahoo API?
Lists of all available industries are called GICS Sectors for Standard and Poor's (S&P500 will use that) and ICB for Dow Jones and FTSE. Hence it used by Nasdaq, Nyse and others markets.
It seems like Yahoo uses a third industry classification by Morning Star, but since I'm not quite sure I will give both ways of retrieving data.
Morning Star
I don't know if Yahoo really sticks to this classification, but some names were really close so let's see it:
You need to go to their Index Data and in each sector, click on it and then at the bottom View complete index holdings.
It's not as precise as in Yahoo industry list, but it's all you can do with Morning Star. Not very convincing, I know...
GICS Sectors
GICS Sectors are now a trademark of Standard and Poor's and then data have to be sought for in S&P's website.
Short answer: take a look at this page, you will need to be registered (it's free and easy) and you can download spreadsheets (xls) with stocks and corresponding sectors. Nevertheless, things aren't always easy, and you will have to do a bit of a search to retrieve all stocks with their corresponding industries. For example, the file INDICATED_RATE_CHANGE.xls will give you some companies and their sectors in each month of 2012. Using that and SP500_DividendAristocrats_2012.xls you should be able to retrieve at least a large part of S&P 500 companies.
ICB
ICB is used by NYSE, NASDAQ etc... Then it's a lot simpler than S&P and MorningStar. Here is your answer. BOOM! Direct link!
Link is dead :(
Finally
I strongly advise you to use the simpler and most-used industry classification index: the ICB. It will always be available and publicly displayed since millions of investors relay everyday on it, without having to use S&P financial services or MorningStar brokerage services...
EDIT
You can look at nasdaq.com to retrieve all companies and their corresponding sector: here for Nasdaq and here for Nyse
Get all industry-IDs from here:
http://biz.yahoo.com/ic/ind_index.html
(look at the links)
Then use YQL ( https://developer.yahoo.com/yql/console/ )
with a query like this:
select * from yahoo.finance.industry where id=912
Related
Is there a convenient way to obtain dividend history for a specified company from the Yahoo finance API? For example, the historic data can be obtained by the following link, with some variable conditions
https://query1.finance.yahoo.com/v7/finance/download/code_name?period1=from&period2=to&interval=1d&events=history
Which, with those conditions filled, would look like:
https://query1.finance.yahoo.com/v7/finance/download/CBA.AX?period1=0&period2=1625841418&interval=1d&events=history
Which gives the data as Date Open High Low Close AdjClose Volume. What I would like to obtain is this, but for dividends. I.e. Date Amount in a specified period.
You can get the past dividends for, say Apple, using this query
https://finance.yahoo.com/quote/AAPL/history?period1=from&period2=to&interval=div%7Csplit&filter=div&frequency=1d&includeAdjustedClose=true
To get the csv file, use this for Apple
https://query1.finance.yahoo.com/v7/finance/download/AAPL?period1=From&period2=To&interval=1d&events=div&includeAdjustedClose=true
Try this for the dividends during last year again using Apple as an example
https://query1.finance.yahoo.com/v7/finance/download/AAPL?period1=1594598400&period2=1626134400&interval=1d&events=div&includeAdjustedClose=true
You can use R to get dividend information quite easily.
If you want the information from Yahoo then use quantmod library. The function to use is getDividends("CBA.AX")
library(quantmod)
getDividends("CBA.AX")
Is there a way to get all neighborhoods per city by lat and lng from mapbox API V5.
For example, if I search using the lat and lng of Long Beach.
-118.1937, 33.7701
I expect to get back all the neighborhoods, instead, I only get back one result of
"place_name: "Downtown, Long Beach, California 90802, United States""
I have changed the response limit and bound box, with no results.
Here is the mapbox playground.
https://www.mapbox.com/api-playground/#/forward-geocoding
Thanks!
Mapbox doesn't really do neighborhoods, they require some sort of search data to pull either addresses or places.
However, there are services where you can get neighborhood data. I found this Stack Overflow question to have several links (sadly, most of them outdated....), with the reference to Zillow having a lot of promise.
I'd also suggest the Census Bureau data as it may have what you are looking for, but it is what I would call 'less than user friendly' to find anything - unless you are comfortable reading government spec sort of things... :)
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Until now, I've been using the INDU ticker to follow the DOW with the Yahoo! API. For whatever reason you were unable to directly follow ^dji ^djia or any other reasonable combination. Up until yesterday, INDU was working fine. However now I receive no data when requesting indu.
What other ticker can I use with the Yahoo! finance API that will return the DJIA?
This index is not available under any other name.
However, this problem was just a temporary glitch, now resolved by Yahoo. Unfortunately, their financial data availability is very flaky lately. E.g. data available on the web page, but CSV downloads give "N/A" for all fields, etc. There were similar incidents in recent months, with stock prices for random stocks given wrong values, and more.
So, if you're building a new service around these Yahoo services, be aware that:
These services are not reliable.
You're breaking Yahoo ToS, so there's nothing you can do if they are broken / not working, you cannot even complain to Yahoo in good faith.
According to Yahoo (post by Yahoo Developer Network Community Manager Robyn Tippins on Yahoo developer forums):
The reason for the lack of documentation is that we don't have a Finance API. It appears some have reverse engineered an API that they use to pull Finance data, but they are breaking our Terms of Service (no redistribution of Finance data) in doing this so I would encourage you to avoid using these webservices.
The formula for the DJIA isn't very complicated. If you are still able to pull quotes from individual stocks, you could use your code to pull the prices of the existing 30 components of the DJIA, add them up and divide by the current divisor. Of course, this has several disadvantages.
You need to make 30 requests instead of one.
You will have to adjust the divisor if there is a stock-split.
You will have to change the the queries when the components
change.
The components of the DJIA are
AA AXP BA BAC CAT CSCO CVX DD DIS GE HD
HPQ IBM INTC JNJ JPM KFT KO MCD MMM MRK
MSFT PFE PG T TRV UTX VZ WMT XOM
The current divisor is 0.132129493.
The divisor changes whenever there is a stock split in on of the components. The components of the DOW changed 48 times from 1896-2009.
It seems like Yahoo Finance does not support the web service to query ^DJI or INDU.
Check out this discussion:
http://developer.yahoo.com/forum/General-Discussion-at-YDN/Dow-Jones-Industrial-Average-Quote-Error/1317052217631-f9173931-04fd-4519-b1b3-efb65d7ff8fa/1317065435082
Assuming that your application does not need to be real time market data (to the second), you can use the RAW data that is provided to build the interactive graph on yahoo. This data is comma separated and updates about once every minute. The downside: it will include all the data from the trading day. The time given is in Unix time so a conversion would be needed. I tried this out for the ticker symbols you listed and the only one I was able to get data with was ^dji. Hopefully this is what you are looking for!
You can mess with the link and see what happens to the data. For example you can change the amount of days.
http://chartapi.finance.yahoo.com/instrument/1.0/%5Edji/chartdata;type=quote;range=1d/csv/
I think Yahoo Finance All Currencies quote API Documentation will help you.
I found a Yahoo forum answer that says we cannot download CSV data for ^DJI.
Check also YQL console. This console will fetch values in JSON format.
The DIA ticker (SPDR Dow Jones Industrial Average) closely imitates the Dow.
Having implemented an algorithm to recommend products with some success, I'm now looking at ways to calculate the initial input data for this algorithm.
My objective is to calculate a score for each product that a user has some sort of history with.
The data I am currently collecting:
User order history
Product pageview history for both anonymous and registered users
All of this data is timestamped.
What I'm looking for
There are a couple of things I'm looking for suggestions on, and ideally this question should be treated more for discussion rather than aiming for a single 'right' answer.
Any additional data I can collect for a user that can directly imply an interest in a product
Algorithms/equations for turning this data into scores for each product
What I'm NOT looking for
Just to avoid this question being derailed with the wrong kind of answers, here is what I'm doing once I have this data for each user:
Generating a number of user clusters (21 at the moment) using the k-means clustering algorithm, using the pearsons coefficient for the distance score
For each user (on demand) calculating their a graph of similar users by looking for their most and least similar users within their cluster, and repeating for an arbitrary depth.
Calculating a score for each product based on the preferences of other users within the user's graph
Sorting the scores to return a list of recommendations
Basically, I'm not looking for ideas on what to do once I have the input data (I may need further help with that later, but it's not the point of this question), just for ideas on how to generate this input data in the first place
Here's a haymaker of a response:
time spent looking at a product
semantic interpretation of comments left about the product
make a discussion page about a product, brand, or product category and semantically interpret the comments
if they Shared a product page (email, del.icio.us, etc.)
browser (mobile might make them spend less time on the page vis-à-vis laptop while indicating great interest) and connection speed (affects amt. of time spent on the page)
facebook profile similarity
heatmap data (e.g. à la kissmetrics)
What kind of products are you selling? That might help us answer you better. (Since this is an old question, I am addressing both #Andrew Ingram and anyone else who has the same question and found this thread through search.)
You can allow users to explicitly state their preferences, the way netflix allows users to assign stars.
You can assign a positive numeric value for all the stuff they bought, since you say you do have their purchase history. Assign zero for stuff they didn't buy
You could do some sort of weighted value for stuff they bought, adjusted for what's popular. (if nearly everybody bought a product, it doesn't tell you much about a person that they also bought it) See "term frequency–inverse document frequency"
You could also assign some lesser numeric value for items that users looked at but did not buy.
Is there a web service or a tool to detect if what a certain text is the name or a person, a place or an object (device).
eg:
Input: Bill Clinton Output: Person
Input: Blackberry Output: Device
Input: New york Output: Place
Accuracy can be low. I have looked at opencyc but I couldnt get it to work. Is there a way I can use WikiPedia for this?
For a start separating a person or a thing will be great.
I think wikipedia would be a very good source. Given the input, you could try and find an entry in wikipedia and scrape the resulting page (if it exists).
Persons and Places should have fairly distinct sets of data - birthdates, locations, etc in the article that you could use to tell them apart, and anything else is an object.
It's worth a shot anyway.
Looking at the output of Wolfram Alpha, it seems that you can possibly identify a person by searching Bill Clinton Birthday or just Bill Clinton, or you can identify a location by searching New York GPS coordinates or just New York, for even better results. Blackberry seems like a tough word for Alpha, because it keeps wanting to interpret it as a fruit. You might have luck searching Froogle to identify a device.
It seems like WA will give you a fairly decent accuracy, at least if you're using famous people/places.
How about using a search engine? Google would be good, and I think Yahoo! has tools for building your own search.
I googled:
Results 1 - 10 of about 27,100,000 for "bill clinton" person
Results 1 - 10 of about 6,050,000 for "bill clinton" place
Results 1 - 10 of about 601,000 for "bill clinton" device
He's a person!
Results 1 - 10 of about 391,000,000 for "new york" place.
Results 1 - 10 of about 280,000,000 for "new york" person.
Results 1 - 10 of about 84,100,000 for "new york" device.
It's a place!
Results 1 - 10 of about 11,000,000 for "blackberry" person
Results 1 - 10 of about 36,600,000 for "blackberry" place
Results 1 - 10 of about 28,000,000 for "blackberry" device
Unfortunately, blackberry is a place as well. :-/
Note that only in the case of 'blackberry' did "device" even get close. Maybe you need to weight the page hit values. What is your application? Do you have any idea which "devices" you'd have to classify? What is the possible range of inputs?
Maybe you want to combine the results you get from different sources.
I think the basic task you're trying to accomplish is more formally known as named entity recognition. This task is nontrivial, and by only inputting the name stripped of any context, you're making it even harder.
For example, we'd like to think examples such as "Bill Clinton" and "New York" are obviously unambiguous, but looking at their disambiguation pages in Wikipedia shows that there are several potential entities they may refer to. "New York" is both a state, city, and movie title. "Bill Clinton" is a bit less ambiguous if you're only looking at Wikipedia, but I'm sure you'll find dozens of Bill Clintons in any phonebook. It might also be the name of someone's sailboat or pet dog. What if someone inputs "Washington"? That could be both a U.S. President, state, district, city, lake, street, island, movie, one of several U.S. navy ships, bridge, as well as other things. Determining which is the "correct" usage you'd want the webservice to return could become very complicated.
As much as Cyc knows, I think you'll find it's still not as comprehensive as Wikipedia. However, the main downside to Wikipedia is that it's essentially unstructured. Personally, I find Cyc's API so convoluted and poorly documented, that parsing Wikipedia's natural language almost seems easier.
If I had to implement such a webservice from scratch, I'd start by downloading a snapshot of Wikipedia, and then writing a parser that would read through all the articles, and generate a named entity index based on article titles. You could manually "classify" a few dozen examples as person/place/object, and train a classifier (Bayesian,Maxent,SVM) to automatically classify other examples based on the word frequencies of their articles.