Predicting Securities Performance

Metrics

API Field Name	Description
stock	Stock ticker
ebitda
current_price
total_cash
total_debt
debt_to_equity
free_cash_flow
ebitda_margins
operating_margins
financial_currency
price_to_book
forwardPE
enterpriseToEbitda

In order to track a stock’s performance over time, investors use its closing price as a benchmark.   Note that the adjusted close price accounts for factors such as dividends, stock splits, or other corporate actions that may affect the stock price.  

Add price-over-earnings ratio?.  

 

Related Links

How You Can Use Python To Pull Stock Data For 3,000 Companies In Under 10 Minutes (Part II)

How I’m Using Data Engineering To Help A Wall Street Banker Pick Better Stocks (Part I)

Predictive Analysis of Tech Stock Prices using LSTM Neural Networks: A Comprehensive Study (stock information using yfinance)

XGBoost for stock trend & prices prediction (New York Stock Exchange dataset)

Predicting Stock Prices Using Multivariate Analysis (multivariate analysis is used to determine patterns that can be used to predict future stock prices by analyzing multiple variables)

Mastering the Day Trading Using Neural Network & Deep Learning

Literally Everything You Can Do With Time Series! (yahoofinancials Python wrapper around the Yahoo Finance API)

Building a Trading Strategy with Machine Learning Models and Yahoo Finance in Python

SARIMA and Prophet for Apple Stock Price Forecasting (Seasonal ARIMA and Facebook’s Prophet time series forecasting tools)

How I developed a trading system as a software engineer with no formal finance background

Lessons from 7 Years of Algorithmic Trading Research and Development

 

Churn Prediction by Barış Karaman