stockM

Use telegram to get stock updates regarding your portfolio of stocks.

Usage

Download the Telegram application.
Search for the bot called Stock Updates Slave (@stock_updates_bot).
Find the list of helper commands using the / button.

Basic Commands

Update portfolio/watchlist of stocks To update portfolio or watchlist, select the Update stock portfolio or Update watchlist option from the markup keyboard. Enter the stock(s) that you wish to monitor using their tickers, separated by a space. Example:
```
AMZN BABA TSLA CRM ZM SE
```
Get portfolio/watchlist updates Using the Portfolio updates or Watchlist updates options from the same markup keyboard, these commands sends push notifications of daily price changes to the list of stocks you've indicated.
Get price change for a single stock
```
/get_px_change <ticker>
```

Get price change for multiple stocks

/get_px_change <ticker1> <ticker2> <ticker3>

Toggle daily notifications using the Subscribe/Unsubscribe to daily update option from the markup keyboard. This toggles your daily push notifications on/off.

Deployment using Heroku

Via Procfile

This service is deployed on heroku using the Procfile listed in this repository. To launch a service of your own, follow these steps:

Get an account with Heroku and install the heroku-cli
Create a new project
```
heroku create <project_name>
```
To deploy this telegram bot, we need to set the telegram bot token as an environment variable.
```
heroku config:set TOKEN=<your_token_number>
```
Push the repo to the Heroku remote. Note that heroku will only build if you push the main or master branch. No action will be taken if other branches are pushed.
```
git push heroku main
```

Via Dockerfile

Referenced from this link

heroku container:login
heroku create APP_NAME
heroku container:push web --app APP_NAME
heroku container:release web --app APP_NAME
heroku open

# or can go to the website to manually scale it up
heroku ps:scale web=1

Serverless deployment using AWS Lambda

Install serverless (this assumes you have NPM)

npm install -g serverless

# Check that you have serverless installed
serverless --version

Create a folder to be used for serverless deployment (note: sls is shorthand for serverless)
```
sls create --template aws-python3 --path <path_to_create>
```
To use serverless-python-requirements, we have to first install the plugin. Note that since we are using dockerizedPip in our custom requirements, we also need to have Docker installed.
```
npm install --save serverless-python-requirements
```
Copy over requirements.txt and the stockM folder to this path we have created in step 1 <path_to_create>.

Export DATABASE_URL, TOKEN (telegram bot token) and AWS credentials.

export DASEBASE_URL=
export TOKEN=
export AWS_ACCESS_KEY_ID=
export AWS_SECRET_ACCESS_KEY=

Deploy to serverless.
```
sls deploy
```
(Optional) Test that serverless deployment is working.
```
sls invoke -f <function>
```

References

Python telegram bot - Persistent Conversation Bot

Pritam-Patra/stockM