I am a retail trader examining different data curators and this one came up in discussions with my chums. Does anyone have experience with them? I am specifically interested in behavior around earnings ( isn't everyone ) and looking at applying probabilistic programming to the problem . To do so I first need trustworthy data. Starting with precise timing of earnings announcements. https://site.financialmodelingprep.com/developer/docs thank you. theakson
I use Wolfram. Look to see if this will help you out: https://reference.wolfram.com/language/ref/FinancialData.html
I have developed alot of different reports and worksheet (some of them are in the Journal), but I am analyzing returns and correlation across ETF sectors over time. I chose that platform because it has solid ML/AI features which I am going to get integrate into the analysis.
sounds like an excellent plan. I'm working on using M/L and PP to examine behavior around earnings. I am testing the water with some of the vendors. The foundation is what is their data and, when, they provide "derived numbers" how good is the explanation as to their working to arrive at them. The competition in the data space is heating up dramatically. I am chatting with BarChart soon. Swinging by the Cboe as well. Breakfast with some of the prop traders later. Thank you so much for your link, REALLY helped me out.
talking to the data provider next week. BarChart seem to be very interesting. Thank you again for the Wolfram link.
take a look at mojo, I LOVE python ( always have) and we're lucky that we have Dave Beazley about 10 minutes away. BUT for heavy number crunching we use julia with the splendid bogumil dataframes.jl and dataframesMeta.jl , sometimes python with pandas 2 now it uses apache as a backend. Check out mojo Chris is a pretty on the ball chap ( LLVM)
I've used them quite a bit. The financials are pretty good (especially for the price) and a longer history than most vendors just using the SEC published XBRL files which only start 2010. Intrinio is a bit better for financials but a lot more expensive. The splits/dividends are not great, quite a few missing or incorrect values.
thank you for the detailed reply. I will add Intrinio to my list. Always worried when I read missing or incorrect values in this day and age. So many different ways for data vendors to clean the data to remedy that. Isn't that what we are paying for? I am evaluating Orats ( www.orats.com) right now and it's working out well. I feel I can trust the data and their ability to curate same.