A link to David Lu's paper, “How Do Moon Phases Affect Stock Prices?”, where David goes in-depth into the graphs shown on video:
[ Ссылка ]
Paper Abstract:
This paper will look at how the full moon and the new moon quantitatively affect stock market prices and their tendency to fluctuate (volatility). Data analysis was carried out with Python. For a full moon, on average, prices started to increase from four days before the full moon and this carried on until the third day until the prices fell again. For a new moon, on average, the general trend is that prices seem to increase from more than ten days before the new moon and this continues until around eight days afterward.
David's email if you have any questions with regards to anything you see in the video: davidlu.auckland@gmail.com
