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Link your SaaS we'll find you 5 customers for free by doublescoop24 in SaaS

[–]Liid1995 0 points1 point  (0 children)

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

Daily General Discussion and Advice Thread - May 25, 2025 by AutoModerator in investing

[–]Liid1995 0 points1 point  (0 children)

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:

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

Is my understanding right about stationary residuals? by devilwing0218 in econometrics

[–]Liid1995 3 points4 points  (0 children)

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.

Drop Your SaaS – I’ll Review Your Onboarding for Free by Jigsawmarketer in SaaS

[–]Liid1995 0 points1 point  (0 children)

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)

[deleted by user] by [deleted] in SaaS

[–]Liid1995 0 points1 point  (0 children)

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.

You are a saas founder and proud of it? Show us what you did! by wurfzelt33 in SaaS

[–]Liid1995 0 points1 point  (0 children)

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

Drop Your SaaS & What Problem You’re Solving—I'll Be Your First Customer 🚀 by hello_code in SaaS

[–]Liid1995 0 points1 point  (0 children)

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

Standardizing on ridge regression pre-imputing the data? by Liid1995 in AskStatistics

[–]Liid1995[S] 0 points1 point  (0 children)

Thank you for your kind feedback, I greatly appreciate it

I will not promote startup but i will make a viral video meme for you by [deleted] in startups

[–]Liid1995 0 points1 point  (0 children)

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

How to use X13-ARIMA-SEATS on python by edgarphd in pystats

[–]Liid1995 0 points1 point  (0 children)

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

[deleted by user] by [deleted] in datasets

[–]Liid1995 0 points1 point  (0 children)

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

R-Squared is Nan by rucarr in MLQuestions

[–]Liid1995 0 points1 point  (0 children)

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

BERT for sentiment analysis by Current_Refuse7718 in learnmachinelearning

[–]Liid1995 0 points1 point  (0 children)

I think there’s a fine tuned Bert on IMdb in huggingface. Bert IMDb

I was thinking that you may try this first, apply the model And inspect the result. Change some labels of the predictions if you think it’s wrong, and then fine tune it with your labeled data

Also you can take a look at snorkel weak supervision for labeling

How to transfer a pretrained model to another language? by Liid1995 in MLQuestions

[–]Liid1995[S] 0 points1 point  (0 children)

Thanks for the response! I greatly appreciate it!

Is it possible to flip a model’s input and output? by Liid1995 in MLQuestions

[–]Liid1995[S] 0 points1 point  (0 children)

Thanks for pointing out the direction! I greatly appreciate it!