justinluther

"That’s not an upgrade. That’s a hostage situation."

Yes, but you could slightly amend their statement to say "Can you name a non-capitalist government..." to remove the false dichotomy and preserve the original point of the question, right?

Thanks! In a previous iteration I used some of those solutions, both Heroku and Render. I thought this might be a good use case for Lambda because the API doesn't get called very often, and it's really just one function. Refactoring the backend code to keep the lambda handler skinny seemed to help. If I continue to have problems I will definitely look at these options.

I'm keeping it private for now but might open it up in the future. Thanks!

Thanks! I've also noticed that the pie chart re-rendering is quite busy and visually distracting. But javascript is by far my weakest layer in the whole stack so I've struggled to fiddle with it without breaking it :)

I agree! A video could definitely help, and I will try to change the display of the instructions on small screens.

Thanks for the suggestion! Right now I have attempted to do what you are describing, but the user has to click OK on the initial "welcome" dialog box to get stepped through the tour. If you click outside of the box to close it, you skip the tour. Definitely something to improve.

Thanks very much for the kind words!

Thanks for your feedback! This is on my to-do list of things to fix-- some of the flavors have been developed using monthly returns and some use annual. In both cases the x axis is variance of the periodic returns. Also in some cases the returns are log returns which is also a todo. I will fix it so that the x axis is labeled with the user's choice of risk metric used by the optimizer. Also, I should have mentioned it, but the risk choice isn't implemented in the backend yet so the risk metric choice just defaults to variance for right now.

I believe the idea with mlfinlab is for users to build and test models to predict asset returns. In other words, a tool to generate alpha. I may be wrong about this as I'm not familiar with mlfinlab.

CashGraphs is more oriented towards passive asset allocaters who want to pick a portfolio that has high expected returns for a given risk-tolerance level.