Getting undervalued growth stocks data for trading.
Growing stocks are always tempting to join the market trend.
Undervalued stocks trade below their 'true' value and the strategy of investing in value stocks whose prices are undervalued is the confidence that
the market has "made an error" and the price of the stock will finally recover, leading to abundant gains for the investor.
Severfal metrics are used to discover undervalued stocks.
Python Knowledge Base: Make coding great again.
- Updated:
2024-12-20 by Andrey BRATUS, Senior Data Analyst.
Python code to get undervalued growth stocks:
Undervalued growth stocks output (shown partly):
EPS is a metric used by investors to evaluate a company's profitability on a per-share basis. The higher the EPS, the more profitable a company is.
The PE ratio is calculated by dividing the company's stock price by its earnings per share.
The price/earnings to growth ratio (PEG ratio) is a stock's price-to-earnings (P/E) ratio divided by the growth rate of its earnings for a specified time period.
As a general rule, a PEG ratio value of 1 represents a perfect correlation between the company's market value and its projected earnings growth - fairly priced stock.
A PEG ratio lower than 1 suggests a stock is undervalued.
A PEG ratio above 1 suggests a stock is overvalued.
In our case we will use Python to access trading statistics from Mboum Finance Official API which provides
undervalued growth stocks data.
To use necessary API you need to get "your-api-key" directly from Mboum Finance, or using rapidapi.com, the way I recommend.
Output data is in JSON format which can be easily converted to any suitable form for further visualisation and analysis,
undervalued growth stocks data will definetely assist to provide stable market profits.
Undervalued growth stocks: Stocks with earnings growth rates better than 25% and relatively low PE and PEG ratios.
import requests
url = "https://mboum-finance.p.rapidapi.com/co/collections/undervalued_growth_stocks"
querystring = {"start":"0"}
headers = {
"X-RapidAPI-Key": "your-api-key",
"X-RapidAPI-Host": "mboum-finance.p.rapidapi.com"
}
response = requests.request("GET", url, headers=headers, params=querystring)
print(response.text)
