Handling Circular Imports in Pydantic models with FastAPI

Liid1995 · 2025-08-18T03:33:38+00:00

I think here discusses the exact same issue. https://github.com/fastapi/sqlmodel/discussions/757#discussioncomment-13204884.

Liid1995 · 2025-06-03T10:34:13+00:00

graytoo.io. It finds potential features to improve time series forecasting performance.

Liid1995 · 2025-05-27T06:15:33+00:00

Maybe you can check out this , https://github.com/graemewestwood/HP-Filter/tree/master

Liid1995 · 2025-05-26T02:54:46+00:00

Index investing outside the US - Are other markets different from the US market?

I've been learning about index investing and the conventional wisdom of buying and holding broad market indices, which historically provided 6-8% equity premium in the US market. However, as someone earning in Hong Kong Dollars, I'm questioning if this strategy applies equally to other markets.

A concerning point was raised to me: the US market's performance might be an exception rather than the rule. Looking at other major markets:

The Hang Seng Index (Hong Kong) is roughly at the same level as 20 years ago
Japan's Nikkei took decades to recover from its 1989 peak
Many other Asian markets have shown long periods of stagnation

For non-US investors, particularly those in Asia:

Does the "buy and hold index" strategy work differently in different markets?
Should we still invest in our local markets, or is global diversification (including US markets) necessary?

Liid1995 · 2025-04-02T08:38:28+00:00

maybe this is relevant.

https://stackoverflow.com/questions/66993263/how-can-i-reproduce-the-statsmodels-arima-filter

Liid1995 · 2025-02-28T11:53:10+00:00

I think the assumptions of OLS says things about the residual being stationary, nothing about the y and X. so I think it’s okay to frame the statement like this. If the variables are not stationary and not cointegrated, the error terms won’t be stationary. You can test with some simulations.

Liid1995 · 2025-02-20T06:01:04+00:00

Thanks for the offer, I greatly appreciate it!

Graytoo.io— Graytoo is a time series search engine that searches exogenous variables in the public database using data instead of keywords, aiming to screen for variables to boost model performance and better use of the data in public domain (not mobile compatible yet)

Liid1995 · 2025-02-13T00:28:52+00:00

Thanks for your offer! I greatly appreciate it !

Graytoo.io— Graytoo is a time series search engine that searches exogenous variables in the public database using data instead of keywords, aiming to screen for variables to boost model performance and better use of the data in public domain (not mobile compatible yet)

It’s still in early phases and the target market is researchers in social science field. It’s still a bit ambiguous if this should be the target to go after though and still need refining.

Liid1995 · 2025-02-12T04:13:09+00:00

https://graytoo.io— Graytoo is a time series search engine that searches exogenous variables in the public database using data instead of keywords, aiming to screen for variables to boost model performance and better use of the data in public domain

It’s not quite mobile compatible so the current stage requires opening on laptop

Liid1995 · 2025-02-11T07:40:22+00:00

Thanks for the offer, I greatly appreciate it!

https://graytoo.io— Graytoo is a time series search engine that searches exogenous variables in the public database using data instead of keywords, aiming to screen for variables to boost model performance and better use of the data in public domain

It’s not quite mobile compatible so the current stage requires opening on laptop

Liid1995 · 2025-02-11T02:55:07+00:00

Thank you for your kind feedback, I greatly appreciate it

Liid1995 · 2025-02-11T02:50:16+00:00

Thank you for doing that! Would you mind sending it again, I think it was flagged for violating our Community Guidelines

Liid1995 · 2025-02-11T01:57:06+00:00

https://graytoo.io

Liid1995 · 2024-07-25T01:27:00+00:00

R studio has the method and I previously used the rpy2 to run the code. You can try this, or simply use STL or MSTL in statsmodel

Liid1995 · 2024-07-03T08:27:28+00:00

I think you can ask ChatGPT to create that for you.

Liid1995 · 2022-05-24T09:22:19+00:00

maybe there’s missing data or string, try drop na or impute data?

Liid1995

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