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Stock Market

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.

Overview

Module Listing

Modules

Data

Market data

  • Stocks: Get stocks performances for a date range given a ticker symbol
  • Crypto: Get crypto 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

Market analysis

  • IPO: Analysis on recent and upcoming IPO stocks

    1. General success metrics on recent IPO bubble.
    2. Optimal sell day analysis.
    3. Individual stock performance views.

  • Index: Analysis on a market index

    1. Stock categorization summary by industry.
    2. Index performance for different periodic times.
    3. Today's top and bottom performing stocks.

  • Stocks: Analysis on stocks

    1. Stock net profit calculator: Supposed net gain on a stock for a buy and sell on a specified date period.
    2. 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

    1. Sentiment view of trending Reddit posts in a specified subreddit, leveraging ticker detection and sentiment model from models.

Model

Statistical Models

  • Classification: Models relating to classification

    1. Detect Stock: Identifies the ticker being discussed in a given text.

  • NLP: Models relating to natural language processing

    1. NLTK Sentiment: Leverages Vader Lexicon data to evaluate a given text's sentiment.