Learn to rank portfolio
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 170
- PR merge metrics
- No merged PRs in 30d
Description
Hello, could be posssible learn to rank examples with deepdow?
https://www.sciencedirect.com/science/article/abs/pii/S0925231217311098
https://www.researchgate.net/publication/315493458_Stock_portfolio_selection_using_learning-to-rank_algorithms_with_news_sentiment
https://arxiv.org/abs/2012.07149
https://ieeexplore.ieee.org/abstract/document/7519089
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0241573
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing the linked learning-to-rank papers and the repository's existing examples to determine the intended portfolio-learning workflow. Clarify which paper or method should be demonstrated, what data and evaluation are expected, and consider the work complete when a reproducible deepdow example and its expected results are documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- fintech-quant, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100