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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
