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1. In the docker image, update the python script dictGenerate.py to read command line arguments.
The first command line argument will be a timestamp in `ISO 8601`
The second command line argument w…
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### Being Wise
#### Facts
- _Although Berkshire has done an amazing job of creating value over the long run (20.9% annualized growth over 54 years), there have been times when Berkshire's perfor…
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it tries to buy non eth mainnet coins
```
poetry run ask --verbose
What do you want to do?: spend 1 eth in the top loser coins in this week, and send that to rihp.eth
Network: MAINNET
Agent add…
rihp updated
6 months ago
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Careful attention is required for proper scaling/normalization of the Panel B and Panel C indicators in relation to the OHLC data (Panel A). When visualizing the train-validate-split with matplotlib, …
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@smallGum I’m getting the same "best" metrics by training with just 1 epoch and 50-100 epochs
Any idea why? Is it because it saves the log of the past training?
Because the result in "predict" a…
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I just added a few more paragraphs to the introduction (Rnw file), but still can't compile to the PDF (see other issue for next bug).
This intro is basically a standard 5-paragraph style intro giving…
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The goal of this issue is to build a new handler that will utilize the Financial Modeling Prep API to enable users to use ML for financial analysis and predictions. This integration will allow users t…
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Larry Harris
Chapter 4
Chapter 8
Chapter 10,11,12
Chapter 13,14,16,17
## Chapter 1 Introduction
- 이 책에서 다루는 trading하는 모든 종류의 사람을 다룬다: dealer, brokers, investors, arbitrageurs, retail traders, …
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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on deep reinforcement learning, deep agent based models, or related topics.
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https://jakevdp.github.io/PythonDataScienceHandbook/04.08-multiple-subplots.html
**Linear Regression Derivation**
https://towardsdatascience.com/linear-regression-derivation-d362ea3884c2
**ASS*…