docs: update README

README.md

@@ -1,34 +1,44 @@
-# invaas
+# Investment as a Service
 
-The 'invaas' project was generated by using the default-python template.
+This is a Python project designed to run in Databricks to automatically buy and sell securities, including cryptocurrencies and stocks/ETFs, through different brokerages.
+
+[![Integration](https://github.com/daneisburgh/invaas/actions/workflows/integration.yml/badge.svg)](https://github.com/daneisburgh/invaas/actions/workflows/integration.yml)
+[![Deployment](https://github.com/daneisburgh/invaas/actions/workflows/deployment.yml/badge.svg)](https://github.com/daneisburgh/invaas/actions/workflows/deployment.yml)
+[![semantic-release](https://img.shields.io/badge/%20%20%F0%9F%93%A6%F0%9F%9A%80-semantic--release-e10079.svg)](https://github.com/semantic-release/semantic-release)
+[![Commitizen friendly](https://img.shields.io/badge/commitizen-friendly-brightgreen.svg)](http://commitizen.github.io/cz-cli/)
 
 ## Getting started
 
 1. Install the Databricks CLI from https://docs.databricks.com/dev-tools/cli/databricks-cli.html
 
 2. Authenticate to your Databricks workspace:
-    ```
-    $ databricks configure
-    ```
+
+   ```
+   $ databricks configure
+   ```
 
 3. To deploy a development copy of this project, type:
-    ```
-    $ databricks bundle deploy --target dev
-    ```
-    (Note that "dev" is the default target, so the `--target` parameter
-    is optional here.)
 
-    This deploys everything that's defined for this project.
-    For example, the default template would deploy a job called
-    `[dev yourname] invaas_job` to your workspace.
-    You can find that job by opening your workpace and clicking on **Workflows**.
+   ```
+   $ databricks bundle deploy --target dev
+   ```
+
+   (Note that "dev" is the default target, so the `--target` parameter
+   is optional here.)
+
+   This deploys everything that's defined for this project.
+   For example, the default template would deploy a job called
+   `[dev yourname] invaas_job` to your workspace.
+   You can find that job by opening your workpace and clicking on **Workflows**.
 
 4. Similarly, to deploy a production copy, type:
+
    ```
    $ databricks bundle deploy --target prod
    ```
 
 5. To run a job or pipeline, use the "run" comand:
+
    ```
    $ databricks bundle run
    ```