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

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Module Listing

• Data
• Analysis
• Model

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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.