Download yahoo stock market8/24/2023 There are some helpers variabels and other things for my app, sorry for it. Sorry for mess, but this is first testing version for my project and I needed it very fast. If params = "sectors" || params = "tickets"ĭirty_data = JSON.parse(HTTParty.get(base_url + URI.encode(query)).body) If params || params = "sectors" || params = "tickets" Ticket.find_or_create_by_symbol(symbol: t, name: t ).update_attribute(:name, t)Ĭonnection hellper: def generate_query(select, ids = nil) Industry.where(id: id).first_or_create(name: ind).update_attribute(:name, ind)Įxtract all comanies with their symbols with industry ids: ids = (",") I had same problem, but I think I have simple solution(code is from my RoR app):Įxtract industry ids from and add it to db: select = "select * from " And, it looks like this site could well be a single source for most of what you might need other than real- or near-real-time quotes. So far, this is the most powerful and convenient programmatic way to get the few pieces of data I couldn't otherwise seem to easily get. There are many more options you can use, one for every screener element on the site. Replace 'export' with 'screener' and the data will show up in the browser. Same csv style, but pulls all available symbols (a lot, across global exchanges) Or you can let the browser ask you whether to open or save the file. This comes back as lines, csv style, with a header row, ordered by ticker symbol. It seems that most other data, like quotes, etc., is readily available.įinally, followed a suggestion to look at ''. I'm working in Java and don't want to use any platform native code. My need is for a simple list of 'symbol, sector, industry'. I have been researching this for a few days, following endless leads that got close, but not quite, to what I was after. Get some of the futures they offer by scraping these pagesĪnd, for U.S. That's about all the help I can offer, but you could do something similar to # "DGAZ" "TAGS" "GASX" "KOLD" "DWTI" "RTSA" Tbl <- readHTMLTable(URL, stringsAsFactors=FALSE)ĭat <- tbl]Įtfs <- dat$Ticker # All ETF tickers from yahoo Now, you can extract the Tickers from the table on that page library(XML) You can scrape the page to find out how manyĮTFs there are, then construct a URL. You need the URL of the "Show All" link at theīottom of that page. You can get a list of ETFs from yahoo here: This will not include any ETFs, futures, options, bonds, forex or mutual funds. # "TISI" "SHLM" "FDO" "FC" "JPST.PK" "RECN" "RELL" # "CVGW" "ANGO" "CAMP" "LNDC" "MOS" "NEOG" "SONC" Head(s, 20) #look at the first 20 Symbols ec <- getEarningsCalendar(from="", to="") #this may take a while If you are familiar with R, you can use the There is no guarantee that yahoo has data for all stocks that report earnings,Įspecially since some stocks no longer exist (bankruptcy, acquisition, etc.),īut this is probably a decent starting point. Of all stocks that reported earnings on those days. You can loop through several days and scrape the Symbols The last part of the URL is the date (in YYYYMMDD format) for which you want theĮarnings Calendar. Yahoo provides an Earnings Calendar that lists all the stocks that announceĮarnings for a given day. I may be able to help with a list of ticker symbols for (U.S. It gave me a list of about 75,000 securities in about 4 mins. WriteStream.WriteLine(item.ID + "|" + item.ISIN + "|" + item.Name + "|" + item.Exchange + "|" + item.Type + "|" + item.Industry) IDSearchDownload dl2 = new IDSearchDownload() WriteStream.WriteLine("Id|Isin|Name|Exchange|Type|Industry") įoreach (var alphabeticalIndex in )ĪlphabeticalTopIndex topIndex = (AlphabeticalTopIndex) alphabeticalIndex įoreach (var index in ) Unfortunately there is no direct way to download the ticker list but the following creates the list by iterating through the alphabetical groups: AlphabeticIDIndexDownload dl1 = new AlphabeticIDIndexDownload() There is a nice C# wrapper for the Yahoo.Finance API at that will get you there.
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