Comments (2)
Hey, thanks for reaching out!
I had some plans to continue adding to this library but sadly those got backlogged due to all the other stuff I've had going on these past few years.
The next thing I wanted to add were some adapters for different API's (Iex cloud, 12data, FMP, Intrino, etc...) which would take data from their api endpoints and then run through all the modeling calculations to generate consistent structs with all that data, also wanted the struct to be configurable so that users could adapt field names to their own app's conventions. Beyond that theres pretty much a limitless number of other stuff that could be added. I haven't spent much time thinking about it, but adding tools for working with historical OHLC data seems like the next logical step for this repo.
Currently I am working on a fully featured financial charting library in react to be opensourced at some point, and that has taken up most of my free time for these side projects. Once I get a v1 rolled out for that I'd definitely be interested in continuing development on this repo, in the mean time If you are interested at all in contributing let me know, I'm open to adding all sorts of stuff to this library and always eager to team up and tackle problems together!
from elixir-finance.
@GunnarPDX sorry for taking so long to reply. I can definitely relate to the backlogged issue 😂
api adapters
Interesting. Very cool!
financial charting
Nice!
I have a question, maybe we sync on ElixirSlack or something, mostly about what you see the usage looking like. Some prompts:
- Do you see financial analysts (or Elixir folks that like finance) reaching for this to analyze things of existing publicly traded companies? If so, those adapters you mentioned above would likely come back with a lot of that data already computed. Is this what you have in mind?
Financials.get(%{source: :yahoo_finance, ticker: "VOO"})
- Maybe there is some value in streamlining small business (or next unicorn) forecasting/key data points. Maybe an api kinda like this?:
args_needed_for_a_forecast = %{monthly_revenue: 10, monthly_expenses: 10}
data_structure_with_graphable_insights_and_more_goodies = Financials.monthly_forecast(args_needed_for_a_forecast)
Anyways, these are just thoughts. Much like you, I'm swamped in life 😂 but looking at this project brought me joy, so thanks for that and for your answers!
from elixir-finance.
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