High level overview of the stock-market package.

Objective

Research & Analysis driven module, with the aim to help improve a trading decision or optimize a stock portfolio. Market/trend data, market analysis, and financial models are some upcoming work in the making.

Modules

Data

  • Stocks: Get stocks performances for a date range given a ticker symbol
  • IPO: Get IPO related data from MarketWatch and populate new metrics
  • Index: Get market indexes (e.g. S&P 500)
  • Reddit: Understand the general sentiment around most discussed stocks and topics

Analysis

  • IPO: Analysis on recent and upcoming IPO stocks
    • General success metrics on recent IPO bubble.
    • Optimal sell day analysis.
    • Individual stock performance views.
  • Index: Analysis on a market index
    • Stock categorization summary by industry.
    • Index performance for different periodic times.
    • Today’s top and bottom performing stocks.
  • Stocks: Analysis on stocks
    • Stock net profit calculator: Supposed net gain on a stock for a buy and sell on a specified date period.
    • Stock chart comparison between a list of requested stocks to view. Provides quick and easy way to analyze the performance of each stock aligned by a date range.
  • Reddit: Analysis on Reddit posts
    • Sentiment view of trending Reddit posts in a specified subreddit, leveraging ticker detection and sentiment model from models.

Model

  • Classification: Models relating to classification
    • Detect Stock: Identifies the ticker being discussed in a given text.
  • NLP: Models relating to natural language processing
    • NLTK Sentiment: Leverages Vader Lexicon data to evaluate a given text’s sentiment.