Market Reporter automatically generates short comments that describe time series data of stock prices, FX rates, etc. This is an implementation of Murakami et al. This tool stores data to Amazon S3. Ask the manager to give you AmazonS3FullAccess and issue a credential file. For details, please read AWS Identity and Access Management. Install Docker and Docker Compose. Edit envs/docker-compose.yaml according to your environment. Then, launch containers by docker-compose. We recommend to use pipenv to make a Python environment for this project. Suppose you have a database named master on your local machine. Prediction submodule generates a single comment of a financial instrument at specified time by loading a trained model.

Features

  • This tool stores data to Amazon S3
  • Install Docker and Docker Compose
  • We recommend to use pipenv to make a Python environment for this project
  • Create config.toml based on example.toml
  • Prediction submodule generates a single comment of a financial instrument at specified time by loading a trained model
  • Automatically generates short comments that describe time series data of stock prices

Project Samples

Market Reporter Screenshot 1

Project Activity

See All Activity >

Categories

AI Text Generators, Generative AI

License

MIT License

Follow Market Reporter

Market Reporter Web Site

Other Useful Business Software
Application Monitoring That Won't Slow Your App Down Icon
Application Monitoring That Won't Slow Your App Down

AppSignal's Rust-based agent is lightweight and stable. Already running in thousands of production apps.

Full APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Market Reporter!

Additional Project Details

Programming Language

Python

Related Categories

Python AI Text Generators, Python Generative AI

Registered

2023-03-23
Report inappropriate content