HJ - Bobby Axelrod

• 

  Dear Bob

Members: Lim Wen Bin (583), Siow Yin Sheng (800)

Inspiration

Synopsis: U.S. Attorney Chuck Rhoades goes after hedge fund king Bobby "Axe" Axelrod in a battle between two powerful New York figures. IMDB (8.4/10)

1. Billions is awesome. Go watch it.
2. Its hard to open a brokerage account to start trading. High barriers to entry for beginners.
3. People think they have an edge in predicting the markets but most don't. Need a systematic process to track performance.

What it does

A telegram bot that:

• updates the user with a real-time, personalized news feed for stocks
• displays historical stock price series
• user can submit price predictions that are converted into trades
• provides users with sentiment analysis on news articles
• trains a custom sentiment lexicon per user using user predictions
• keeps a track record over time

How we built it

• IEX exchange api
• python-telegram-bot
• python data science stack: pandas, numpy
• textblob NLP python package
• custom implementation of a user-trained text sentiment dictionary

Challenges we ran into

• lack of historical financial news data with accurate timestamps and entity tagging for training
• intermittent internet

Accomplishments that we're proud of

• incorporating multiple components into a project
• having fun learning

What we learned

• how to make a full functional telegram bot
• how to implement a natural language processing pipeline

What's next for Bobby Axelrod

• applying the user's custom model to trade algorithmically on a large number of stocks
• decentralized investment predictions and track records on the blockchain
• sharing trades with friends (inline telegram bot)
• more predictive signals (times series analysis, digital signal processing)
• include more assets (more stocks, futures, options, ETFs, forex)

Built With

• natural-language-processing
• python
• telegram