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Chinese Tech Stocks$201.27
0.79%4:00PM 01/26/2021
The list of companies include SINA-Sina Corp., CALX-Calix Inc, CBAT-CBAK Energy Technology Inc, LKCO-Luokung Technology Corp, PBTS-Powerbridge Technologies Co Ltd, SEED-Origin Agritech Ltd., TAOP-Taoping Inc., TKAT-Takung Art Co Ltd, WAFU-Wah Fu Education Group Ltd
Latest intraday update before market close @ 19:45:22 PM 01/26/2021

Aggregated price index

Aggregated price index with volume information

Summary:

  • The momentum of the sector is very strong.
  • Chinese Tech stocks up 0.8% on average while median return up 0.0% in a day
  • Chinese Tech stocks up 9.0% on average while median return up 5.3% in a week
  • Chinese Tech stocks up 27.8% on average while median return up 17.0% 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

Click on + to show price series and click on ticker for stock detail page

Ticker
1 Day Return
1 Week Return
1 Month Return
PE Ratio
PE Growth Ratio
Price to Book (mrq)
Price to Sales (ttm)
Earning Growth
MarketCap
Short %
Held By Institutions %
20 Days Price ZScore
50 Days Price ZScore
12-26 Days Percentage Price Oscillator
20 Days Volume ZScore
ATHM3.20%
7.90%
17.20%
74.127.9431.50%6.4B58.11%2.113.053.23%-0.73
BABA1.70%
5.70%
3.80%
37.9943.849.82-60.20%707.2B43.86%1.760.770.94%-1.23
BIDU-2.60%
-0.90%
28.40%
25.9122.273.4388.8B68.91%0.861.488.88%-1.10
BILI-6.20%
-1.50%
52.20%
8.5245.8146.4B50.84%0.841.5612.48%-0.61
BZUN35.10%
38.50%
39.00%
36.736.7964.20%1.9B61.98%4.033.932.42%4.17
CMCM-3.30%
8.10%
12.60%
-28.240.37-42.60%87.7M15.78%1.131.383.40%0.02
DADA1.00%
0.20%
18.10%
6.84733.9M15.29%1.110.482.89%-0.50
FENG1.00%
-6.10%
13.70%
0.2647.7M23.05%0.86-0.74-5.23%-1.15
IQ0.40%
7.20%
22.10%
-11.37-14.334.3915.2B62.67%1.300.071.03%-1.17
JD-1.40%
6.40%
13.50%
37.0358.3913.061134.80%153.2B47.66%1.532.173.25%-0.62
LEJU0.00%
4.80%
16.90%
0.191.180.464.80%358.4M2.05%1.852.042.58%-0.49
MOMO2.60%
9.60%
25.60%
10.5918.462.04-48.90%3.3B69.23%1.992.484.25%0.11
NIO0.50%
3.20%
28.30%
-65.794378.339.2693.5B36.33%0.781.566.41%-1.30
NIU-2.80%
7.60%
62.30%
100.3820.50%3.7B27.75%1.442.4712.46%-0.05
NTES-1.90%
10.80%
31.70%
40.49145.082.05-76.40%16.3B42.63%1.632.426.44%-0.92
PDD-3.50%
3.10%
24.10%
90.7446.97209.7B27.68%0.271.233.83%-0.70
QTT-3.20%
56.80%
75.80%
0.88539.6M5.58%2.042.2810.45%0.35
SFUN-1.00%
-5.40%
-4.80%
0.200.581393.30%83.2M40.12%-2.30-0.26-0.35%0.03
SIMO1.90%
1.70%
13.40%
17.352.342.803.16476.00%1.8B77.64%1.421.453.59%1.02
SINA0.60%
2.80%
-0.40%
-29.468.581.061.192.9B12.56%66.19%1.870.09-0.09%0.44

* 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.

* 20 days Price Zscore = (Today price - 20 days SMA price) / 20 days volatility. 50 days Price Zscore = (Today price - 50 days SMA price) / 50 days volatility.

* 12-26 Days Percentage Price Oscillator = (12 days EMA price - 26 days EMA price) / 26 days EMA price * 100

Related ETFs (click on ticker for stock detail page)

  • 1M winners are : Winners for past month are $NCTY 315.1%, $WBAI 232.9%, $YI 78.1%, $QTT 75.8%, $QD 74.2%
  • 1M losers are : Losers for past month are $TCOM -1.9%, $JOBS -4.1%, $SFUN -4.8%, $LIZI -10.6%, $JKS -12.7%
  • 1W winners are : Winners for past week are $YI 60.8%, $QTT 56.8%, $WIMI 48.1%, $BZUN 38.5%, $NCTY 28.1%
  • 1W losers are : Losers for past week are $TCOM -5.0%, $SFUN -5.4%, $LIZI -6.0%, $FENG -6.1%, $LI -8.3%
Pick two stocks to compare:

Correlation Analysis

Index correlation analysis

Correlation for the past month is 11.0%, for the past 3 months is 11.2%

In the past month for a 5 days rolling window, the highest corrrelation is 25.3%, the lowest correlation is 0.0%, the latest correlation is 8.4%

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 99.7% between CWEB and KWEB

The lowest correlation is -63.9% between FENG and LIZI

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