MARKET COMPOSITE
Electronic Computer Manufacturing Stocks29-30-2023 20:30:00 PM
Price
$96.75
+ 0.32%
The list of companies include AAPL-Apple Inc, AGS-PlayAGS Inc, DAIO-Data io Corp., DGII-Digi International, Inc., DSWL-Deswell Industries, Inc., FN-Fabrinet, KTCC-Key Tronic Corp., LTRX-Lantronix Inc, NEON-Neonode Inc., NSYS-Nortech Systems Inc., OMCL-Omnicell, Inc., RFIL-RF Industries Ltd., SCKT-Socket Mobile Inc, SILC-Silicom Ltd, SMCI-Super Micro Computer Inc, TDC-Teradata Corp, TEL-TE Connectivity Ltd, ALPP-Alpine 4 Holdings Inc
* Latest intraday update before market close @ 19:45:39 PM 09/29/2023
Summary
:
Average return is down -0.5%
Median return is down -0.3%
5 out of 15 stocks are up (limited to those with intraday pricing feeds).
Top Movers
:
LTRX -3.7%AGS -3.2%DGII -1.8%NEON -1.2%OMCL -1.1%

Aggregated price index with volume information

Summary:

  • Electronic Computer Manufacturing stocks up 0.3% on average while median return up -0.1% in a day
  • Electronic Computer Manufacturing stocks down 0.3% on average while median return down 0.8% in a week
  • Electronic Computer Manufacturing stocks down 8.1% on average while median return down 6.4% 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 (close) is based on equal weighted constituencies returns. Average short volume and average total volumes are averaged across all volume data among constituencies.

Related Stocks
Ticker
1d
7d
30d
PE Ratio
PE/G
P/B (mrq)
P/S (ttm)
Earning Growth
MarketCap
Short %
Held By Institutions %
RSI
Price Pattern
Resist Support
Days Since Channel Change
Channel Slope (daily rate %)
ALPP4.0%
2.1%
-42.0%
17.1M23-\64-2.6%
SILC3.6%
5.2%
-3.0%
1.682.012.7674%174.4M0%54%49/\68-0.4%
RFIL3.4%
11.5%
-19.7%
1.981.7930.8M0%31%41\-\56-0.4%
KTCC2.1%
1.8%
-6.3%
9.290.580.1592%47.1M0%45%44/-\102-0.3%
SMCI1.8%
16.3%
2.4%
23.981.551.630.5117%14.5B2%73%56-/Below support1881.9%
DAIO1.6%
-7.1%
-2.1%
2.952.6533.6M0%40%46/-\102-0.2%
AAPL0.3%
-2.0%
-8.8%
28.791.4531.476.69110%2.7T1%59%38/\/Below support1930.2%
SCKT0.0%
-5.1%
-14.8%
-4.972.992.668.2M3%5%26\/\104-0.2%
TEL-0.2%
0.4%
-6.4%
19.031.994.413.2638.8B1%94%38/\/Below support2380.0%
OMCL-0.5%
-9.6%
-21.8%
-87.212.556.146.7925%2B8%104%25-/-\/Below support1930.1%
NEON-0.6%
-4.2%
-11.6%
-4.71-0.825.2711.1224.7M3%8%27\/\93-0.9%
FN-0.8%
6.8%
5.2%
24.762.223.131.8933%6B2%102%69/Above resistance1930.1%
TDC-1.1%
1.5%
-2.3%
81.071.5111.762.60-69%4.5B10%94%48\/-\/Below support1930.3%
DGII-2.4%
-5.5%
-18.6%
33.554.851.412.2146%972M2%85%23-/-/\Below support193-0.1%
LTRX-2.8%
-3.5%
12.1%
-17.971.453.402.29164.3M1%26%47/\193-0.1%
AGS-3.3%
-7.0%
-2.7%
-0.176.472.08248M2%85%42\/\-1930.1%
* P/E and MarketCap are refreshed daily using IEX Cloud service. P/B, P/S, PEG, growth, short%, HelbyInstitute are refreshed weekly using Yahoo feeds. For latest stock stats please visit Yahoo Finance.
* Price Patter: / is upward trend, \ is downward trend, - is sideway. Click on the ticker to go to stock page to see Bayesian Trend model plot of the time series.
* Channel and change points are derived from Bayesian Trend model, where the channel slope is the growth rate while change points are those the model partition the time series.
Detail Performance Summary
  • 1M winners are : Winners for past month are $LTRX 12.1%, $FN 5.2%, $SMCI 2.4%
  • 1M losers are : Losers for past month are $SCKT -14.8%, $DGII -18.6%, $RFIL -19.7%, $OMCL -21.8%, $ALPP -42.0%
  • 1W winners are : Winners for past week are $SMCI 16.3%, $RFIL 11.5%, $FN 6.8%, $SILC 5.2%, $ALPP 2.1%
  • 1W losers are : Losers for past week are $SCKT -5.1%, $DGII -5.5%, $AGS -7.0%, $DAIO -7.1%, $OMCL -9.6%
Pick two stocks to compare:

Correlation Analysis

Index correlation analysis

Correlation for the past month is 9.8%, for the past 3 months is 8.0%

In the past month for a 5 days rolling window, the highest corrrelation is 17.2%, the lowest correlation is 1.1%, the latest correlation is 13.7%

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 78.8% between FN and TDC

The lowest correlation is -61.1% between DAIO and SMCI

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