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Hey **mlfinlab** team!
It's Eriz from the **Alpha Team at Darwinex**.
Huge congrats for the development of the `Online Portfolio Selection` module; the API is genuinely created together with the…
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Hi this is really impressive and useful for me because i am new to all this. My question is how can i get the bayesian agent to predict into the future for example using past data make a forecast of w…
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Hi @milancurcic !
Really liking the style of the book.
I was wondering if you are going to include more examples with stock data.
Maybe a neural network forecast and backtest?
Many thanks,
Be…
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**Title:** Introduction to Time Series forecasting of Stock Prices
**Author:** Luka Beverin / Lukazambuca
**Track Category**: Data Science
**Subcategory:** Finance
**Tags:** Machine Learning A…
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I wonder to know what is the value of this?
You are trying to predict the lagged value in the past of stock price, which is given as input.
Why?
![image](https://user-images.githubusercontent.com…
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I keep running in data reliability issues, to the point where I am starting to question all the data. A random example this morning - Finnhub indicates a closing price of $250.195 for AAPL last night …
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Hello,
I'm trying to port this TensorFlow example written in python to R:
https://medium.com/mlreview/a-simple-deep-learning-model-for-stock-price-prediction-using-tensorflow-30505541d877
I'm stu…
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Please make sure that this is a bug. As per our
[GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),
we only address code/doc bugs, performance issues, feature requests a…
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Hey,
I know you are pretty busy right now. But a RNN example with time-series would be awesome if you find time!
Thanks
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I have a data frame which shows the price of AUPH stock going up to 18.45 at EOD today.
Yet the predictive model doesn't even include the recent points where the stock has gone up in value...…