StockerBot | Twitter Bot to follow financial trends in publicly traded companies | Predictive Analytics library

StockerBot is a JavaScript library typically used in Analytics, Predictive Analytics applications. StockerBot has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Some use cases for this API can be found on my Kaggle page: here. The overarching mission of this project is to develop a dataset consisting of sentences with financial sentiment, then tag each sentece and finally use this to build a sentiment analysis model fine-tuned for investing jargon. From there, I would hope to build an API that tracks live sentiment for any publicly traded company. The motivation is that there currently are no free financial models that can accurately classify sentiment with regards to investing. To see a live API using sentiment analysis and see the problems with finanical sentiment, play around with this. This API uses the Twit API to monitor and search Twitter for tweets about publicly traded securities that you are interested in. To set up the project on your local machine, just run the following code. The core functionality of this project is to be run on a remote server (Google/Amazon cloud instance, or in my case a RaspberryPi) and to update a database (a Firebase Realtime Database). This is achieved using the polling API. To successfully run this, you need to set the variable (type: 2-D array) watchlist to contain a list of arrays in the format ['symbol', 'name']. Next you need to set the variable (type: 1-D array) influencers to contain a list of strings that represent the usernames of all the accounts you want to use as your information source (leave out the @ symbol). Next, you can make a free Firebase account (follow quickstart guide here) and then replace the var serviceAccount = require(path_to_firebase_secrets) with the appropiate path to the file Firebase gives you containing your private keys and set the admin.initializeApp lines to point to the correct credentials and databaseURL. In the main.js file, set the following variables.