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While forecasting item sales using **retail domain**, the documentation link (https://docs.aws.amazon.com/forecast/latest/dg/retail-domain.html) mentions that we use –
• **webpage_hits** (float) –…
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var model:
### factors:
#### usa:
* real gdp - (GDP/CPI)
* inflation ln(CPI)
* exchange rate - ln(esch )
* short rate ln(1+R/100)
* long rate ln(1+R/100)
* stock rate (Index/CPI)?
…
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- PyTorch-Forecasting version:
- PyTorch version:
- Python version:
- Operating System:
Hi, Thanks for this library :)
I want to predict the market price(Open price) of a stock.
I'm trying to …
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- PyTorch-Forecasting version:
- PyTorch version:
- Python version:
- Operating System:
Hi, Thanks for this library :)
I want to predict the market price(Open price) of a stock.
I'm trying to …
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forcasting show same resoult no matter what i do with settings or data
![FORCASTING FAIL](https://user-images.githubusercontent.com/128158474/233627090-8df4887a-4594-4fc4-bd26-8deb55d15a3f.png)
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Thank you for your great work.
Based on your research, I am trying to apply TimeVAE to different stock data forecasting.
According to your paper and code, I believe that the six stock data
1) r…
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I would love a feature with the PAR-Synthesizer where I can produce synthetic data that directly corresponds to the different sequences in a multi-sequence time-series data set. So if I have, for exam…
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## Description
While trying to apply some GluonTS models in forecasting examples, I have encountered that for using models like GPVar and LSTNet we have to use the `MultivariateGrouper` to group time…
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I have been forecasting price timeseries (15 minute intervals) across 32 different stocks in a game.
The model outputs seem incorrect (as if the plots are mismatched).
Is this an issue with the…
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**Example 1**: prediction of the income growth using classificacion with random forest.
- https://towardsdatascience.com/predicting-the-stock-market-with-machine-learning-introduction-310cd6069ffa
…