I'm having a problem using Google Finance historical data. I need to know the price a particular stock had on a particular date (Usually within the last month).
The problem is, when I use a URL such as https://finance.google.com/finance/historical?q=abx I get different results depending on where I issue the query from.
At home I'm in Argentina and my production server is in the US... when I run the query locally I get the prices in AR$, but when run from the server I get USD (Which is what I actually need).
I tried using a X-Forwared-For header but didn't make a difference...
Ideally I'd like to send an extra parameter (something like cur=USD) to explicitly ask for USD... is there such a thing?
Thanks
I use, currency conversion along with the price of the stock.
For Example:
Price of ABB Ltd in SEK = GOOGLEFINANCE("ABB","price") * GOOGLEFINANCE(("CURRENCY:USDSEK"))
Then I format the cells, rows, columns with prices to local currency(i.e. SEK) as mentioned in the link: Format Numbers in excel.
You could add other parameters such as date as mentioned in below link:
Get exchange rate on a specific date from GoogleFinance
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")
While training my predictor I came across this error and I got stuck how to fix it.
I have two data-series, a "Target time-series data" with 9234 rows and a single "item_id" and a second one that is "Related time-series data" with the same number of rows as I only have a single id.
I'm setting de data with a window of 180 days, what is exactly the difference between the second and the first number that has appeared on the error, 9414 - 9234 = 180.
We were unable to train your predictor.
Please ensure there are no missing values for any items in the related time series, All items need data until 2020-03-15 00:00:00.0. For example, following items have missing data: item: brl only has 9234/9414 required datapoints starting 1994-06-07 00:00:00.0, please refer to documentation for additional details.
Once my data don't have missing data and it's on a daily basis why is it returning this error?
My data starts on 1994-06-07 and ends on 2019-09-17. Why should I have 9414 data points rather than 9234?
Should I take out 180 days in my "Target time-series data"?
The future values of the related time-series data must be known.
Example of a good related-time series: You know past and future days in which marketing has or will send email newsletters promoting the product you're forecasting. You can use this data as a related-time series.
Example of a bad related-time series: You notice that Google searches for your brand correlated with the sale of your product. As a result you want to use it as a related-time series. Since you don't know how many searches will occur in the future, so you can't use this as a related time series.
In you case, You have TARGET_TIME_SERIES data for 9414 days and you want to predict demand for the next 180 days. That means your RELATED_TIME_SERIES data should be 9594 days.
Edit: I have not tested this with amazon's forecasting product. I'm basing my answer on working with Facebook Prophet (which is one of the models amazon forcast uses). Please let me know if my solution worked.
I have a bit of a unique problem here. I currently have two warehouses that I ship items out of for selling on Amazon, my primary warehouse and my secondary warehouse. Shipping out of the secondary warehouse takes significantly longer than shipping from the main warehouse, hence why it is referred to as the "secondary" warehouse.
Some of our inventory is split between the two warehouses. Usually this is not an issue, but we keep having a particular issue. Allow me to explain:
Let's say that I have 10 red cups in the main warehouse, and an additional 300 in the secondary warehouse. Let's also say it's Christmas time, so I have all 310 listed. However, from what I've seen, Amazon only allows one shipping time to be listed for the inventory, so the entire 310 get listed as under the primary warehouse's shipping time (2 days) and doesn't account for the secondary warehouse's ship time, rather than split the way that they should be, 10 at 2 days and 300 at 15 days.
The problem comes in when someone orders an amount that would have to be split across the two warehouses, such as if someone were to order 12 of said red cups. The first 10 would come out of the primary warehouse, and the remaining two would come out of the secondary warehouse. Due to the secondary warehouse's shipping time, the remaining two cups would have to be shipped out at a significantly different date, but Amazon marks the entire order as needing to be shipped within those two days.
For a variety of reasons, it is not practical to keep all of one product in one warehouse, nor is it practical to increase the secondary warehouse's shipping time. Changing the overall shipping date for the product to the longest ship time causes us to lose the buy box for the listing, which really defeats the purpose of us trying to sell it.
So my question is this: is there some way in MWS to indicate that the inventory is split up in terms of shipping times? If so, how?
Any assistance in this matter would be appreciated.
Short answer: No.
There is no way to specify two values for FulfillmentLatency, in the same way as there is no way to specify two values for Quantity in stock. You can only ever have one inventory with them (plus FBA stock)
Longer answer: You could.
Sign up twice with Amazon:
"MySellerName" has an inventory of 10 and a fulfillment latency of 2 days
"MySellerName Overseas Warehouse" has an inventory of 300 and a fulfillment latency of 30 days
I haven't tried by I believe Amazon will then automatically direct the customer to the best seller for them, which should be "MySellerName" for small orders and "MySellerName Overseas Warehouse" for larger quantities.
We are just getting started with MWS. We'd like to be able to use the lowest offers on each product to help calculate our price. There is an API to GetLowestOfferListForSku but that only returns a single sku and there is a throttle limit which would make it so we'd have to take several days to get all the data.
Does anybody know a way to get that data for multiple products in a single request?
You can fetch data on up to 20 SKUs using GetLowestOfferListingsForSKU by adding a SellerSKUList.SellerSKU.n parameter for each product (where n is a number from 1 to 20). The request looks something like this:
https://mws.amazonservices.com/Products/2011-10-01
?AWSAccessKeyId=AKIAJGUVGFGHNKE2NVUA
&Action=GetMatchingProduct
&SellerId=A2NK2PX936TF53
&SignatureVersion=2
&Timestamp=2012-02-07T01%3A22%3A39Z
&Version=2011-10-01
&Signature=MhSREjubAxTGSldGGWROxk4qvi3sawX1inVGF%2FepJOI%3D
&SignatureMethod=HmacSHA256
&MarketplaceId=ATVPDKIKX0DER
&SellerSKUList.SellerSKU.1=SKU1
&SellerSKUList.SellerSKU.2=SKU2
&SellerSKUList.SellerSKU.3=SKU3
Here's some relevant documentation which explains this: http://docs.developer.amazonservices.com/en_US/products/Products_ProcessingBulkOperationRequests.html
You might also find the MWS scratchpad helpful for testing:
https://mws.amazonservices.com/scratchpad/index.html
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