Python Tutorial 60 – Stock Symbol Data Scraper for Financial Ratio Analysis

Along with interest rates rising against inflation, global stock markets have been bearish and obviously continue to drop as inflation kind of hovers over in a higher position and might last for a long period before pushing it down. 

From a standpoint of the cost of buying in the stock market, this is absolutely a good chance to observe the momentum and estimate the time bottoming out. It’s because this timing is easier for us to analyze and identify undervalued companies compared to the previous QE era, notably now companies are confronting the increasing cost of debt and economic recession challenges. Who can stay still, who is the ACE? 

If you are an investor in mutual funds, ETFs, trusts, Stock, and so on. This article can help you build a stock symbol data scraper for analyzing financial ratios in bulk using Python, FMP, and Easy2Digital API.

stock symbol data scraper

Along with interest rates rising against inflation, global stock markets have been bearish and obviously continue to drop as inflation kind of hovers over in a higher position and might last for a long period before pushing it down. 

Only when the tide goes out do you discover who has been swimming naked. From a standpoint of the cost of buying in the stock market, this is absolutely a good chance to observe the momentum and estimate the time bottoming out. It’s because this timing is easier for us to analyze and identify undervalued companies compared to the previous QE era, notably now companies are confronting the increasing cost of debt and economic recession challenges. Who can stay still, who is the ACE? 

If you are an investor in mutual funds, ETFs, trusts, Stock, and so on. This article can help you build a stock symbol data scraper for analyzing financial ratios in bulk using Python, FMP, and Easy2Digital API.

Pros and cons to make more time by using Stock Symbol Data Scraper

Pros

  • Collect and consolidate any symbol data as you like in one place, which saves time to quick check company news, monitor all of the up-to-date performance, and customize the dashboard to implement financial ratio analysis
  • Facilitate to do the common sizing comparison
  • It’s free

Cons

  • It requires programming knowledge and script maintenance and upgrades
  • Activating automation using the cloud might have additional fees although the amount is small and it charges pay-as-to-go normally.

Ingredients to build the scraper:

Python3, Easy2digital API, FMP API, Google Sheet, gspread, panadas, json

Table of Content

Financial Model Preparation or FMP

Financial model preparation or FMP is simply a platform offering big trending and up-to-date datasets from finance and investment, in order to facilitate proceeding company valuation and investment opportunity analysis. In a moment, I’ll introduce its API resources when sharing financial ratio data. Moreover, I introduced FMP before in the comparable company analysis bot article. For more details, please check out this article.

Python Tutorial 28 – Create the Comparable Company Analysis Bot, FMP Bot Using FMP API

Easy2Digital Stock Symbol Data API

Each stock has a unique ID in the stock market, which we call Symbol. It’s just like the unique audience ID in digital marketing. If we like to generate the stock and financial data from a specific stock, we need to use the symbol. 

easy2digital stock api

Easy2Digital stock symbol data API provides 44,000+ stock symbol data from different security exchanges worldwide. The data includes the symbol name, company name, industry, sector, and so on. Notably, if you are checking direct and indirect rivals in the same industry and sector, you also need the symbol’s industry and sector data.

Our stock symbol API is free. Please subscribe to our newsletter by leaving a message “Python tutorial 60”. Then, we will send you the token access to the API asap.

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Upcoming instructions use EBAY as an example for stock symbol data scraper

First thing first, I’d like to wrap up the eBay financial analysis. Based on the bottom-up analysis, eBay is being affected by the increasing interest rate notably according to several financial ratio metrics compared to YoY. But compared to direct rivals, eBay must be one of the candidates investors should keep tracking and buy-in for bouncing back from a micro analysis perspective.

Real-time and Historical stock price

Price per share is a crucial data metric because it’s affecting the performance of metric multiples and financial ratio analysis results. 

stock symbol data scraper

Basically, there are two types of price per share dataset, which are real-time price and historical price. Real-time price is helpful in technical analysis for trend monitoring and short trade strategy. Conversely, the historical price can help long trade strategy as we can have a bottom-up understanding of a symbol and its underlying and intrinsic value. This is the key bottom-up microanalysis to justify if the symbol is the potential to bounce back after stock collapses in the long-term operation.

Below are the APIs and the sample of Python codings.

Real-time stock symbol price API: 

https://financialmodelingprep.com/api/v3/quote-short/EBAY?

Historical:

https://financialmodelingprep.com/api/v3/historical-price-full/EBAY?serietype=line&apikey=

stock symbol data scraper

Financial ratio TTM and historical data API

Similar to the stock price dataset, the financial ratio dataset also is split into the latest and historical data. TTM is short for trailing 12 months and generally lists companies updating their financials by quarter. Thus, below is an API we can update the up-to-date financial ratio data.

https://financialmodelingprep.com/api/v3/ratios-ttm/EBAY?apikey=

For the historical financial ratio data, we need to use the other API URL listed below in the Python script.

https://financialmodelingprep.com/api/v3/ratios/EBAY?limit=40&apikey=

We need to remind the response from the API that requires jsonify. Thus, we need to add a variable with the json() to interpret the response dataset.

financeRatioTTM = "https://financialmodelingprep.com/api/v3/ratios-ttm/" + assetData + "?apikey=" + api

resultRatioTTM = requests.get(financeRatioTTM).json()

Valuation multiple

Basically valuation multiple illustrates whether the price is cheap or expensive comparably. From my personal preference, I prefer to use P/B compared to P/E, as the figure is much closer to the net worth of a company. Meanwhile, P/E doesn’t count into the liability factors, so the risk might be higher even though the price is reasonable. If P/B in a sun-rising industry is sitting at a lower or the lowest point compared to its YoY and its rivals, that’s the candidate we should add to the list. 

stock symbol data scraper

EV/EBITDA is more for acquisition and merger activities. Thus, if a company’s EV/EBITDA is very high and its standalone business model might not be powerful and solid enough to survive in a long-running marathon, that’s the candidate we should add to the list as well. It’s because the company goal might aim for acquisition and merger conducted by a big corp probably 

Below is the sample of valuation multiple TTM python codings.

For more details regarding valuation multiples, please check out this article

Valuation Multiples – P/E, P/B, EV/EBITDA Ratio Hints for Marketers

Liquidity multiple

Companies usually have a certain proportion of fundraising from debts. This ratio multiple is crucial to look into because it indicates to investors whether the company might suddenly collapse due to failing on repayment and high-interest expenses. Nobody likes to invest in a company that needs to pay for heavy interests or can’t afford to pay off debts even.

Take EBAY for example, although debt to equity is at a lower point, its interest coverage soars significantly in TTM which obviously is being affected by the USA FEB interest rate going up. That must be affecting the earnings of this symbol and then influence the price per share in the stock market.

Below is the sample of liquidity multiple TTM python codings.

For more details regarding valuation multiples, please check out this article

Liquidity Ratio – Quick Ratio, Interest Coverage, Debt / Equity Implication for Investors and Marketers

Profitability ratio

As earlier mentioned in another article, my career starts in digital marketing. From my experiences, gross margin and operating margin in a way is manipulated, because the variable cost can be optimizable along with the sales upward or downward trend, or the sourcing cost change. However, net margin is difficult to be manipulated because as a listed company, liability with more uncontrollable factors can affect the cash flow.

Below is the sample of profitability ratio TTM python codings.

For more details regarding valuation multiples, please check out this article

Profitability Ratio – Gross Margin, EBITDA Margin, Net Margin Hints for Marketers and Investors

Efficiency ratio

With the net income plummeting, return on asset and return on equity both drops severely in TTM. Luckily, the return on capital looks flat and hovers over 15% approximately compared to YoY. That might imply the overall business operation is healthy and profitable.

Below is the sample of efficiency ratio TTM python codings.

For more details regarding valuation multiples, please check out this article

ROA, ROE, ROC – Hints for Investors and Marketers from Financial Ratio Analysis

Common sizing comparison

Common sizing comparison is critical in financial ratio analysis because a company is living in an industry under a sector. What that standalone performance means from a single company is related to the whole industry it is sitting in.

Amazon and ETSY are eBay’s direct rivals. In terms of P/B for example compared to both, obviously, eBay P/B, as well as Amazon, shrink along with the cost of debt arising thanks to the USA Feb recent monetary policy against inflation. 

stock symbol data scraper

However, shrinking for new investors might be good news as the chart depicts that once the policy returns downward, we can buy in at a lower price and obtain tasty capital gains

Full python script of Stock Symbol Data Scraper and Stock symbol data API token

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