Applying technical stock market indicators to analyze and predict the evolvability of open source projects

For decades stock market traders make financially critical buy/sell decisions depending on external and internal factors affecting the price of individual stocks. Moving Averages combined with technical analysis patterns are some of the most basic and widely used indicators to support buy/sell decisions. In this research, we present a novel cross-disciplinary approach that uses these technical stock market indicators for analyzing the community evolvability of open source software systems.