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X Financial Stock Predictions

X Financial Stock Forecast

  • Is X Financial Stock Undervalued?
    The current X Financial [XYF] share price is $4.80. The Score for XYF is 69, which is 38% above its historic median score of 50, and infers lower risk than normal.
  • XYF is currently trading in the 60-70% percentile range relative to its historical Stock Score levels.

Will X Financial Stock Go Up Next Year?

Data Unavailable

X Financial Stock Rating

Data Unavailable

X Financial Stock Price History

Is XYF stock going to rise?

  • The current trend is moderately bullish and XYF is experiencing selling pressure, which indicates risk of future bearish movement.

Stock Information

Stock Info

Exchange:
NYSE
Country:
China
Industry:
Consumer Finance
Sector:
Financials
Type:
stock
Website:
ir.xiaoyinggroup.com

52-Week Data

52-Week High:
4.99
52-Week Low:
3.41

Prediction Charts

Market Cap:
227.76M
Price in USD:
4.80
Volume:
6.94K
Beta:
0.65

Technical Analysis

SMA50:
4.51
SMA100:
4.30
SMA200:
4.15
52-Wk Change:
14.93%

Stock Predictions

  • Is X Financial stock public?
    Yes, X Financial is a publicly traded company.
  • What is the X Financial stock quote today?
    The X Financial stock price is 4.80 USD today.
  • How to buy X Financial stock online?
    You can buy X Financial 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
Aug-30 4.94 4.94 4.94 4.84
Sep-3 4.89 4.85 4.95 4.84
Sep-4 4.70 4.63 4.81 4.36
Sep-5 4.51 4.61 4.63 4.51
Sep-6 4.53 4.74 4.82 4.53
Sep-9 4.68 4.61 4.77 4.51
Sep-10 4.61 4.65 4.66 4.61
Sep-11 4.53 4.67 4.71 4.53
Sep-12 4.56 4.70 4.76 4.56
Sep-13 4.63 4.72 4.73 4.63
Sep-16 4.73 4.93 4.95 4.73
Sep-17 4.95 4.99 4.99 4.76
Sep-18 4.85 4.84 4.86 4.84
Sep-19 4.81 4.80 4.98 4.77

X Financial Earnings

Data Unavailable

X Financial Forecast Revenue Growth

Data Unavailable

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