tradeentry

KO | EN

gitlite — search

#python #hacktoberfest #ai #typescript #go #golang #android #rust #deep-learning #linux #macos #cli #security #ios

(★ 45)

Trade entry from natural language for the capital markets using LLMs

tradeentry 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Trade Entry AI
![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/compatibl/tradeentry/python-package.yml)
![GitHub](https://img.shields.io/github/license/compatibl/tradeentry)
![PyPI - Downloads](https://img.shields.io/pypi/dm/tradeentry)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/tradeentry)
![PyPI](https://img.shields.io/pypi/v/tradeentry)
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/compatibl/tradeentry/pulls)
## Trade entry from natural language for the capital markets using LLMs

Experiment results and completions from the workshop and presentation
by Alexander Sokol at the WBS Quantitative Finance Conference (2024)
can be examined at:

`tests/cl/tradeentry/experiments`

To run the experiments, follow these steps:

### Setting up LLM keys and models

1. Copy the file called `sample_secrets.yaml` in project root to `.secrets.yaml` (note the dot in front)
   and replace placeholders for each LLM key with your own key, which can be obtained from the LLM providers.
   Alternatively, they can be set up using .env or envvars (running without the key will print instructions)
2. Edit the list of models in stub_llms.py if you prefer to run with a different set

### Running the experiments

1. IMPORTANT: Delete files `*.completions.*` and `*.expected.*` stored in subdirectories
   of the test location before running the tests
2. Run tests in `tests/cl/tradeentry/experiments` under pytest to generate new results.

### Examining the results

1. The tests will generate new completions and expected test results using your LLM keys and you
   will be able to examine them using git diff.
2. Both completions and expected results will change compared to the saved results due to inherent 
   variability of LLM response, however their statistics should remain the same

## Copyright

Each individual contributor holds copyright over their contributions to the
project. The project versioning is the sole means of recording all such
contributions and copyright details. Specifying corporate affiliation or
work email along with the commit shall have no bearing on copyright ownership
and does not constitute copyright assignment to the employer. Submitting a
contribution to this project constitutes your acceptance of these terms.

Because individual contributions are often changes to the existing code,
copyright notices in project files must specify The Project Contributors and
never an individual copyright holder.

tradeentry

tradeentry 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

tradeentry

tradeentry 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README