SSS Overview

Stock Scanner & Screener: A yfinance+investpy combined-based Stock Scanner & Screener for the Israeli and US Stock Markets (Extendable to other stock markets as well). Within the code, the following libraries and fonts are used:

• https://pypi.org/project/yfinance/
• https://pypi.org/project/investpy/
• https://pypi.org/project/fpdf/
• https://fonts2u.com/dejavu-sans-condensed.font

SSS Core Equation

http://bit.ly/SssCoreEquation

SSS Big Data (Muti-Dimentional) Analysis and Advanced Ranking Equation

http://bit.ly/SssBigDataAnalysis

Setup

• Install Python 3.7 or higher from https://www.python.org/downloads/
• Install Pycharm Community Edition from https://www.jetbrains.com/pycharm/download/
• Download the SSS source code as a Zip file from this page (https://github.com/asafravid/sss/archive/master.zip) or clone/fork the repository directly
• Open Project from folder (to which you unzipped the sss source code)
• No further steps required apart from pip3 installing relevant libraries:
  • cd <[path to]Python 3.7>
  • pip3 install pandas
  • pip3 install yfinance
  • pip3 install investpy
• Note that for yfinance - I'm providing updated sources since they take time to update by the developers, and my forks are, well - mine, and I prefer one to pip3 install yfinance from the origin, and then update (using comparison SW) the necessary changes I made (not too many) to run the SSS most efficiently and informatively.

Run Step-By-Step Instructions

• 1: Run the scanning mode by uncommenting the Run Build DB Only lines in sss_run.py
• 2: A result folder shall be created under Results Folder
• 3: Run research mode, selecting profit margin (pm) Enterprise value to Revenue Ratio (evr) scanning parameters (just use the defaults - they are fine)
• 4: Reccomendation list shall appear in the result folder fed to the Research Mode
• 5: Optional (and recommended) - Run diff module (sss_diff.run()) to observe differnces (new/removed/moved up/down stocks) from last run

Track Your Investments - Reference Sheet

http://bit.ly/SssResultsInvestmentTracking

Indices Maintenance (Once per month)

• Download TASE latest components via https://info.tase.co.il/eng/MarketData/Stocks/MarketData/Pages/MarketData.aspx into Indices/Data_TASE.csv
• Download NASDAQ100 latest components via https://www.barchart.com/stocks/quotes/$IUXX/components?viewName=main (Remove last line indicating creation date) or https://www.nasdaq.com/market-activity/quotes/nasdaq-ndx-index into Indices/nasdaq100-components.csv
• Download Russel1000 latest components via https://www.barchart.com/stocks/indices/russell/russell1000 (Remove last line indicating creation date) or https://en.wikipedia.org/wiki/Russell_1000_Index into russell-1000-index.csv
• Download S&P500 latest components via https://www.barchart.com/stocks/quotes/$SPX/components into Indices/snp500-components.csv (Remove last line indicating creation date)
• Download NASDAQ latest components via ftp://ftp.nasdaqtrader.com/symboldirectory/ into Indices/nasdaqlisted.csv (Convert .txt to .csv and remove last line indicating creation date)
• Download NASDAQ Other Listed components via ftp://ftp.nasdaqtrader.com/symboldirectory/ into Indices/otherlisted.csv (Convert .txt to .csv and remove last line indicating creation date)
• You can also create your own indice/group of stocks by either overriding the above files' contents or simply adding your own indice to the code support.

Disclaimer

• Make your analysis before buying the reccommended stocks
• This Stock Screener/Scanner shall only provide reccomendations
• Buying the reccommended stocks is at your own risk
• Study the companies reccommended - read their financial reports, and only then decide if and how much to buy

yfinance.7z Usage

• yfinance is a known library which this scanner uses
• Several Bugs were found upon examining the code of yfinance, and I have created pull requests for those.
• For simplicity, unzip yfinance.7z and beyond[or other comparison software]-compare it with the official [pip3 it] one, and take the changes provided within this library's yfinance.7z.

Understanding and Verifying Units of yfinance parameters

• Units can compared to https://www.macroaxis.com/stock-analysis/CMRE/Costamare (i.e. CMRE can be replaced for any stock ticker/symbol)
• Use case: CMRE's yfinance earningsQuarterlyGrowth is -0.298, and website shows -29.80% so the match yields that yfinance reports in direct ratio (not %)

Looking Forward for Contributions

• Good luck and you are welcome to contribute to this project:
  • Add other contries' stocks
  • Past reccomendations and present results - for proving that the model works
  • Multi-Dimentional Big Data research mode (scan over EQGs, etc)
  • For any questions / issues / suggestions: You can reach me here: asaf.rvd@gmail.com