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Saiheat Stock Predictions

Saiheat Stock Forecast

  • Is Saiheat Stock Undervalued?
    The current Saiheat [SAIH] share price is $0.72. The Score for SAIH is 22, which is 56% below its historic median score of 50, and infers higher risk than normal.
  • SAIH is currently trading in the 20-30% percentile range relative to its historical Stock Score levels.

Will Saiheat Stock Go Up Next Year?

Data Unavailable

Saiheat Stock Rating

Data Unavailable

Saiheat Stock Price History

Is SAIH 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 SAIH is experiencing selling pressure, which indicates risk of future bearish movement.

Stock Information

Stock Info

Exchange:
NASDAQ
Country:
Singapore
Industry:
Software
Sector:
Information Technology
Type:
stock
Website:
saiheat.com

52-Week Data

52-Week High:
1.80
52-Week Low:
0.54

Prediction Charts

Market Cap:
17.7M
Price in USD:
0.72
Volume:
42.9K
Beta:
1.65

Technical Analysis

SMA50:
0.98
SMA100:
0.88
SMA200:
0.92
52-Wk Change:
-54.13%

Stock Predictions

  • Is Saiheat stock public?
    Yes, Saiheat is a publicly traded company.
  • What is the Saiheat stock quote today?
    The Saiheat stock price is 0.72 USD today.
  • How to buy Saiheat stock online?
    You can buy Saiheat 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
Dec-9 0.96 0.90 0.98 0.89
Dec-10 0.93 0.93 0.95 0.88
Dec-11 0.93 0.88 0.95 0.83
Dec-12 0.84 0.91 0.93 0.84
Dec-13 0.91 0.92 0.93 0.89
Dec-16 0.94 0.97 0.98 0.91
Dec-17 0.99 0.93 0.99 0.92
Dec-18 0.96 0.87 0.98 0.87
Dec-19 0.87 0.85 0.97 0.84
Dec-20 0.86 0.80 0.87 0.76
Dec-23 0.77 0.71 0.82 0.70
Dec-24 0.70 0.73 0.77 0.70
Dec-26 0.77 0.74 0.78 0.70
Dec-27 0.72 0.72 0.77 0.71

Saiheat Earnings

Data Unavailable

Saiheat Forecast Revenue Growth

Data Unavailable

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