fundamental-analysis VS wasmer

Usually, there are platforms like eodhistoricaldata.com, iexcloud.io or financialmodelingprep.com which provide data for a monthly fee. They also have their issues, but if reported, wrong data are usually fixed swiftly.

Having access to historical and live data is nice. Just use the free tier with financialmodelingprep.com to get an idea what it would be like to work with such data.

The other one I found was financialmodelingprep.com but their "is-market-open" API looks to return just the general opening/closing hour, holidays, and whether or not the market is open. Like it says the market hours even today is 9:30am-4pm which isn't what I'm looking for.

Is financialmodelingprep.com legit?

Then using financialmodelingprep.com api, I crossed all the information I could get my hands on from there to merge with the df I had. Things like "Year founded, HQ, number of employees, etc." Trying to see if there was anything interesting within the data. As an example, I used ggplot to show inventory trends over the years for the companies and you could see when the 2008 recession happened there was a significant drop in inventory carried by some companies. (Not all companies carry goods, some only provide services). But it was interesting to have a quick visual made and to compare them to other companies within the same sectors/industries.

Let me know if you need more help and I will look into https://financialmodelingprep.com. Is this a free or a paid service?

I use Financial Modelling Prep, it works pretty well and has a bunch of cool endpoints. I have the starter plan, costs about $24 a month which is reasonable, you get about 300 requests/min. (https://financialmodelingprep.com).

Depends on what you are building. Note - you can even use multiple based on specific features. Start with https://twelvedata.com or https://financialmodelingprep.com

quandl has lot of data sources, some are free to use. Check financialmodelingprep too.

I'm currently using stockrover.com and https://financialmodelingprep.com for getting DCF/Fair Value and Safety Margins and to Screen stocks according to my strategies.

This is awesome. I'd love to have upstream support in Wasmer ( https://wasmer.io )

WebAssembly is extremely portable. WebAssembly runs on: all major web browsers, V8 runtimes like Node.js, and independent Wasm runtimes like Wasmtime, Lucet, and Wasmer.

Unfortunately cosmopolitan wouldn't work for dockerc. Cosmopolitan works as long as you only use it but container runtimes require additional features. Also containers contain arbitrary executables so not sure how that would work either...

As for WASM, this is already possible using container2wasm[0] and wasmer[1]'s ability to generate static binaries.

[0]: https://github.com/ktock/container2wasm

[1]: https://wasmer.io/

I could not find any guide how to add WASM container capability to Docker running on Colima. This guide provides a few Colima templates for exactly this, which adds WasmEdge, Wasmtime and Wasmer runtime types.

Just suggested as well Wasmer on Twitter! https://github.com/wasmerio/wasmer

Looking forward to seeing the results :)

The Biome team has been incredibly fast on solving the challenge and achieving 95% compatibility with Prettier [1]

Just as a note, as it was not mentioned in the article, Wasmer [2] also participated with a $2,500 bounty to compile Biome to WASIX [3], and it has been awesome to see how their team has been working to achieve this as well... hopefully we'll get Biome running in Wasmer soon!

Keep up the great work!!

[1] https://github.com/biomejs/biome/issues/720

[2] https://wasmer.io/

[3] https://wasix.org/

It's funny how WebAssembly can help overcome most of the issues mentioned on the blogpost (packaging, configuration, portability) if addressed properly.

That's the main reason Wasmer [1] was created :)

[1] https://wasmer.io

Thanks for the mention to Wasmer.

I'll put here a link in case is useful for future readers: https://wasmer.io/