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Welcome to the stock_hawk wiki!

Setup

Prerequisites:

• Running a script on AWS without a deployment tool like jenkins, requires all the libraries/packages to be locally maintained.
• Refer documentation to begin setup.
• Lambda handler or source file should always be in the root.
• Use the following file structure.
  ——— src or .zip
  ——— ——— handler.py
  ——— some-sub-directory

Quick tip:

• create a fresh folder eg: lambda_function and drop your code there (DON'T use sub-folders).
• pip install any package in the format (pip3 install 'package' --target=~/lambda_function/)
• wrap everything together as a .zip file and upload it to AWS.
• root file should be directly accessible within the .zip, so don't include any unnecessary additional sub-folders.

1. Below are the parameters that has to be on your AWS SSM.

• Name = user; Value = Robinhood login email address
• Name = pass; Value = Robinhood login password
• Name = qr; Value = Robinhood MFA QR code (Check for steps in original README.md)
• Name = ACCESS_KEY; Value = AWS login access key
• Name = SECRET_KEY; Value = AWS secret key
• Name = SENDER; Value = sender email address (verified via AWS SES)
• Name = RECIPIENT; Value = receiver email address (verified via AWS SES)
  
  Optional (If you'd like to setup whats app notifications else skip these, app will still run):
• Name = SID; Value = S-ID from twilio
• Name = TOKEN; Value = Token from twilio
• Name = SEND; Value = sender whats app number (fromat - +1xxxxxxxxxx)
• Name = RECEIVE; Value = receiver whats app number (fromat - +1xxxxxxxxxx)
  
  

2. Setup lambda function and attach an IAM policy

• Create a lambda function with the handler as robinhood.send_whatsapp (this will invoke the send_whats app function inside the robinhood.py file)
• Create an IAM policy with read access to GetParameter and attached to the executing lambda function.
• Once that is done, make sure to check your lambda function's permission to SSM.
• Policy update time: ~5-10 minutes.

3. If you like to setup a cron schedule:

• Add trigger to your lambda function (Trigger name: CloudWatch Events/EventBridge)
• Refer aws docs for scheduling format.

4. If you like to include historical report graphs for your stocks:

• Use files in the repo Historical_Graphs_Included
• This uses the historical data for your stocks and plots the data as a graph.
• Use /tmp/ for it to work on AWS (default writable folder by AWS)
• matplotlib could be a tricky part to implement on lambda so I have added few steps below.
• Go to https://pypi.org/project/matplotlib/#files
• Choose your python version (37 for 3.7 and 38 for 3.8) and download the manylinux1_x86_64.whl file.
• unzip filename.whl && rm filename.whl
• zip all your folders together and upload it to an S3 bucket and run your lambda connecting to S3.