New investors especially find the stock market to be a very complex area to invest in. However, using data analysis, investors are in a better position of making good decisions and comprehending market trends. In this blog post, I shall give an overview of analyzing stock market data.
First, you have to identify where to obtain data regarding the stock market. Several websites where free data can be found include Yahoo Finance, Google Finance, and Quandl. These sites enable users to download historical prices of stocks, volumes of trades, dividends, and other information such as company earnings. It is recommended that when beginning, one should concentrate on the price and volume of individual shares and broad market indices, including the S&P 500.
Here are some key metrics and ratios to include in your analysis:Here are some key metrics and ratios to include in your analysis:
Graphics help to identify trends in stock information to a greater extent. Some helpful chart types include:Some helpful chart types include:
Bar charts, which show the total number of shares traded within a given day or within a given month.
It is helpful to invest in good spreadsheet software such as Microsoft Excel or Google Sheets to generate your own stock charts in the process. All that is required is to import the price data and then turn it into a chart via the graphical functions of the software.
Here are some basic technical analysis methods to explore as a beginner:Here are some basic technical analysis methods to explore as a beginner:
Trend Lines: Determine price levels that provide the floor (support) or the ceiling (resistance) for a stock. These key levels signify the points at which buyers or sellers may be likely to enter the market.
Trend Lines: Join support and resistance levels with a line or series of lines. An upward sloping trend indicates a bullish (rising) trend, while a declining trend shows a bearish (falling) trend.
Reversal Patterns: Some candlestick patterns, such as dojis, double tops, and head and shoulders, indicate slowing down of the momentum, which could be a sign of reversal.
Trading Signal: A technical analysis tool such as Moving Average Convergence Divergence (MACD) together with chart patterns gives trading signals for those who are interested in quick profit.
None of the indicators or patterns is ideal. Quant traders use many indicators simultaneously, then run back tests to see what strategies worked in the past.
Besides price patterns and charts, the financial statements and operations of the company under consideration should be analyzed. For fundamental analysis:
Look at annual and quarterly reports, gross vs. net income, and trends in P/E ratios. An advance in fundamentals points to a stock that is getting healthy.
Review the quarterly and annual reports to determine the general well-being of the business. Some of the key analyses that should be done include revenue, expenses, debts, cash flows, and management remarks.
Watch the way the company issues information, such as product release information or events that pertain to the company’s stock and volatility vis-à-vis the SEC.
Live stock prices can change in a blink of an eye depending on the latest news. Savvy traders must stay updated on market-moving events like:Savvy traders must stay updated on market-moving events like:
New economic data such as jobs, inflation, and GDP growth reports Companies’ general and consolidated financial reports and their press releases on important financial figures Strategic mergers and acquisitions of the most liquidated stocks and other types of joint ventures.
Unrest and political instabilities that may affect the country's investment outlook.
It is also important to stay informed with the latest news and announcements so that traders can make informed decisions whenever market psychology shifts the value of assets.
Analyzing stock data is not a piece of cake, but returning to basics eliminates chances out of trading. Using charts, ratios, and trends in the stock market, portfolio management turns into fact-based instead of being driven by emotions. Using backtesting to analyze the analytical models can result in the formulation of effective and disciplined strategies for dealing with the market fluctuations that are bound to occur in the future.
- Written By - Natasha Singh