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3D Printing Stocks$135.01
-0.50%4:00PM 11/20/2020
The global 3D printing market size was valued at USD 11.58 billion in 2019 and is expected to expand at a CAGR exceeding 14% from 2020 to 2027. Globally, 1.42 million units of 3D printers were shipped in 2018 and this number is expected to reach 8.04 million units by 2027.
Latest intraday update before market close @ 19:45:00 PM 11/23/2020
Summary :
Average return is up 0.9%
Median return is up 0.6%
3 out of 4 stocks are up (limited to those with intraday pricing feeds).

Aggregated price index

Aggregated price index with volume information

Summary:

  • 3D Printing stocks down 0.5% on average while median return down 0.5% in a day
  • 3D Printing stocks up 6.5% on average while median return up 3.0% in a week
  • 3D Printing stocks up 1.6% on average while median return up -0.9% in a month
  • When average return is significantly different from median return, this implies an asymmetry - composite return is driven by some outliners.

Aggregated price index is based on equal weighted constituencies returns,Aggregated volume information is based on sum of all constituencies volumes

Index Constituencies

Related Stocks (click on ticker for detail)

Related ETFs (click on ticker for detail)

leak data

  • 1M winners are : Winners for past month are $VJET 27.3%
  • 1M losers are : Losers for past month are $DDD -1.3%, $SSYS -6.6%, $XONE -12.8%
  • 1W winners are : Winners for past week are $VJET 33.7%, $XONE 3.7%, $DDD 3.1%
  • 1W losers are : Losers for past week are $SSYS -0.1%, $RGR -2.8%
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Correlation Analysis

Index correlation analysis

Correlation for the past month is 36.7%, for the past 3 months is 35.4%

In the past month for a 5 days rolling window, the highest corrrelation is 67.8%, the lowest correlation is -4.3%, the latest correlation is 47.6%

When a correlation deviated from the normal level and goes lower or even negative, it indicates some of stocks have deviated from the normal direction of the group. The deviation could reverse if long term level of correlation was at a higher level. It creates trading opportunities and deserves study whether the deviation is idiosyncratic or systematic.

Among pairwise correlation, the highest correlation is 81.1% between DDD and SSYS

The lowest correlation is -14.6% between RGR and VJET

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