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casandrass's Projects

automated-fundamental-analysis icon automated-fundamental-analysis

Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the company's sector.

benjamin-graham-and-warren-buffett-model-stock-exchange- icon benjamin-graham-and-warren-buffett-model-stock-exchange-

There are about 4000 stocks which are actively traded on the stock exchanges at BSE and NSE. Can we extract public financial data from sites like moneycontrol.com to find which are the fundamentally strong stocks. On what stocks would the father of value investing, Benjamin Graham and Warren Buffett the most successful investors in the world make their investments on. Benjamin Graham and Warren Buffett Model Step 1: Filter out all companies with sales less than Rs 250 cr. Companies with sales lower than this are very small companies and might not have the business stability and access to finance that is required for a safe investment. This eliminates the basic business risk. Step 2: Filter out all companies with debt to equity greater than 30%. Companies with low leverage are safer. Step 3: Filter out all companies with interest coverage ratio of less than 4. Companies with high interest coverage ratio have a highly reduced bankruptcy risk. Step 4: Filter out all companies with ROE less than 15% since they are earning less than their cost of capital. High ROE companies have a robust business model, which generates increased earnings for the company typically. Step 5: Filter out all companies with PE ratio greater than 25 since they are too expensive even for a high-quality company. This enables us to pick companies which are relatively cheaper as against their actual value. He points out that applying these filters enables us to reduce and even eliminate a lot of fundamental risks while ensuring a robust business model, strong earning potential and a good buying price.

financedatabase icon financedatabase

This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

okama icon okama

Investment portfolio and stocks analyzing tools for Python with free historical data

pandas-ta icon pandas-ta

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

penny-stock-recommendation-system icon penny-stock-recommendation-system

Python backend system that takes live time Reddit posts about penny stocks, uses sentiment analysis to determine whether to buy, hold, or sell the stock, and pushes information in live time to an angular website

pylivetrader icon pylivetrader

Python live trade execution library with zipline interface.

stock-analysis icon stock-analysis

This is a simple stock analysis software for Indian stocks inspired by guidelines from the guidelines of the father of security analysis and value investing, Benjamin Graham.

stock-prediction-models icon stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock_screener icon stock_screener

Picking stocks through various screening methods. Focus on Northern Europe.

stockscore icon stockscore

A python project to fetch stock financials/statistics and perform preliminary screens to aid in the stock selection process

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