Trading-with-Alexa

Table of Contents

• Introduction
• Built With
• Dependencies
• Installation
• License
• Attribution
• Authors

Introduction

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There is a lack of user-friendly tools to retrieve stock information real-time and websites often become too complex to navigate. The Trading with Alexa Skill is a user friendly application that gives real-time stock information and allows users to make more informed investment decisions and at the very least, educate users on the state of the stock market.

Built With

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• Alexa Skills Kit - The Skills Kit
• IEX Trading API - Used to retrieve stock data
• Yahoo Finance API - Used to convert company name to respective stock ticker symbol
• IBM Watson Tone Analyzer - Used to analyze tone in news articles

Dependencies

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Please see the requirements.txt file for all dependencies.

You will also need:

• An Amazon Echo or other Alexa-enabled device
• An AWS account (AWS Lambda, Alexa-skill configuration, optional Cloudwatch logging)

Installation

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1. Create a Python virtual environment, and install the contents of the requirements.txt file into it using pip

2. Zip the contents of the site-packages folder within your virtual environment (remember, zip the contents of the director, not the directory itself)

3. Add the contents of lambda/py to the zip file also (alexa/.. and lambda_function.py)

4. Once this zip is ready, create your Lambda function using AWS Lambda (a quick google search should return some useful guides, see this guide)

5. Create your Alexa skill, and when editing intents, you can use "manual edit", and paste in the contents of the models/skill.json file (see this guide)

6. Take the skill ID of the Alexa skill, and add "Alexa Skills Kit" as a trigger in your Lambda function. Enable Skill ID verification, and paste in your skill ID.

7. Under Endpoints in the Alexa skill, paste the ARN of your Lambda function.

You should be good to test it at this point! We recommend using the built-in Test console on the Alexa skill before you load it on your own Alexa.

License

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This project is licensed under the MIT License - see the LICENSE.md file for details

Attribution

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• Data provided for free by IEX. View IEX’s Terms of Use.
• Company to symbol conversion provided for free by Yahoo Finance.

Authors

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• Madhav Mehta
• Sabal Ranabhat
• Cameron O'Brien
• Karina Scott
• Yohan Flores
• Brian Nguyen