這個本不想說的， 因為總顧慮有“迷信”之嫌，而且沒有 statistics back up, 但是多少年了，我是真感覺到的。所以說出來給大家“提醒”？“參考”？“批判”？怎麽都行。或者當個娛樂吧，玩笑一回。
先看看這個 supermoon dates http://www.astropro.com/features/tables/cen21ce/suprmoon.html
注意到了下麵二個日期嗎？ 有啥想法或感覺？
JAN 02, 2018 | 02:25 AM | FULL MOON JAN 31, 2018 | 01:27 PM | FULL MOON
然後， 2019近期的有：
JAN 21, 2019 | 05:17 AM | FULL MOON | FEB 19, 2019 | 03:54 PM | FULL MOON | MAR 21, 2019 | 01:43 AM | FULL MOON |
這裏還有一張圖片 wiki 裏抓來的。
所以我期待最近幾個月市場波動率會大，因為supermoon 影響人們的情緒。方向不管，我從來沒體會到新月期或滿月期一定會走牛或走熊。
至於這個supermoon 是什麽，和股市是什麽關係， 有興趣的話可以從wikipedia 著手探索，關鍵詞 supermoon, lunar effect。正反說辭都有。
比如：
Stock market
Several studies have argued that the stock market’s average returns are much higher during the half of the month closest to the new moon than the half closest to the full moon. The reasons for this have not been studied, but the authors suggest this may be due to lunar influences on mood.[35][36][37] Another study has found contradictory results and questioned these claims.[38]
Law and order
Senior police officers in Brighton, UK announced in June 2007 that they were planning to deploy more officers over the summer to counter trouble they believe is linked to the lunar cycle.[27] This followed research by the Sussex Police force that concluded there was a rise in violent crime when the Moon was full. A spokeswoman for the police force said "research carried out by us has shown a correlation between violent incidents and full moons". A police officer responsible for the research told the BBC that "From my experience of 19 years of being a police officer, undoubtedly on full moons we do seem to get people with sort of strange behavior - more fractious, argumentative."[28]
Police in Ohio and Kentucky have blamed temporary rises in crime on the full Moon.[29][30][31] In January 2008, New Zealand's Justice Minister Annette King suggested that a spate of stabbings in the country could have been caused by the lunar cycle.[32]
A reported correlation between Moon phase and the number of homicides in Dade County was found, through later analysis, not to be supported by the data and to have been the result of inappropriate and misleading statistical procedures.[3]
