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CLPS Stock Predictions

CLPS Stock Forecast

  • Is CLPS Stock Undervalued?
    The current CLPS [CLPS] share price is $1.19. The Score for CLPS is 32, which is 36% below its historic median score of 50, and infers higher risk than normal.
  • CLPS is currently trading in the 30-40% percentile range relative to its historical Stock Score levels.

Will CLPS Stock Go Up Next Year?

Data Unavailable

CLPS Stock Rating

Data Unavailable

CLPS Stock Price History

Is CLPS stock going to rise?

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and CLPS is experiencing buying pressure, which is a positive indicator for future bullish movement.

Stock Information

Stock Info

Exchange:
NASDAQ
Country:
Hong Kong
Industry:
IT Services
Sector:
Information Technology
Type:
stock
Website:
clpsglobal.com

52-Week Data

52-Week High:
1.70
52-Week Low:
0.68

Prediction Charts

Market Cap:
33.13M
Price in USD:
1.19
Volume:
204.64K
Beta:
2.08

Technical Analysis

SMA50:
1.34
SMA100:
1.12
SMA200:
1.05
52-Wk Change:
19%

Stock Predictions

  • Is CLPS stock public?
    Yes, CLPS is a publicly traded company.
  • What is the CLPS stock quote today?
    The CLPS stock price is 1.19 USD today.
  • How to buy CLPS stock online?
    You can buy CLPS shares by opening an account at a top tier brokerage firm, such as TD Ameritrade or tastyworks.

14-Day Historical Data

Date Opening Closing Minimum Maximum
Oct-25 1.40 1.36 1.40 1.34
Oct-28 1.36 1.40 1.40 1.36
Oct-29 1.42 1.51 1.54 1.41
Oct-30 1.51 1.46 1.51 1.43
Oct-31 1.45 1.37 1.49 1.37
Nov-1 1.37 1.57 1.70 1.36
Nov-4 1.48 1.36 1.49 1.36
Nov-5 1.33 1.25 1.35 1.22
Nov-6 1.25 1.10 1.25 0.80
Nov-7 1.12 1.09 1.12 1.03
Nov-8 1.09 1.05 1.10 1.05
Nov-11 1.05 1.03 1.09 1.03
Nov-12 1.04 1.05 1.05 1.02
Nov-13 1.05 1.19 1.20 1.05

CLPS Earnings

Data Unavailable

CLPS Forecast Revenue Growth

Data Unavailable

* CLPS stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.