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https://www.sec.gov/dera/data/financial-statement-data-sets.html
A Graph Mining Approach to Identify Financial Reporting Patterns: An Empirical Examination of Industry Classifications
This paper u…
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---
id: emoji-key
title: Emoji Key ✨ (and Contribution Types)
sidebar_label: Emoji Key ✨
---
## Table
> To have a contribution added when using the [Bot](bot/overview) or [CLI](cli/overview)…
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### Overview
- Each financial institution/LEI will have a financial institution profile that contains the data we have on file for that financial institution.
- **View financial institution profile*…
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This would facilitate us separating out the ABCD and scenario related functions (target calculation etc) from the financial data functions.
Towards creating:
`pacta.financial.data.preparation` (…
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we can improve the models current accuracy because it is not performing very well as we can see in [Hedging-of-Financial-Derivatives](https://github.com/Akshat111111/Hedging-of-Financial-Derivatives/t…
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Although this is listed as a known current limitation I would like to also list it as an issue (and offer a direction of a solution!). It deals with the financial data that ends up on the contact reco…
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Would it be possible to implement this with financial time series data?
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**Summary**
CandleEntry is used to represent financial data, however, the constructor expects float's. Everyone working with financial data knows that a "float" lacks precision.
**Expected Behavio…
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Hi,
I was trying out the "Machine Learning with Financial Data" notebook.
In the tutorial video, the prediction accuracy of the first trivial model is 65% (as is described in the notebook's text), …
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Hi, thank you for your interesting work. I am interested in applying your method to a class-imbalanced problem similar to the credit card dataset in your paper. But when I run your "creditcard.py" cod…