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Flow Traders Stock Predictions

Flow Traders Stock Forecast

  • Is Flow Traders Stock Undervalued?
    The current Flow Traders [FLTLF] share price is $22.42. The Score for FLTLF is 25, which is 50% below its historic median score of 50, and infers higher risk than normal.
  • FLTLF is currently trading in the 20-30% percentile range relative to its historical Stock Score levels.

Will Flow Traders Stock Go Up Next Year?

Data Unavailable

Flow Traders Stock Rating

Data Unavailable

Flow Traders Stock Price History

Is FLTLF stock going to rise?

  • The current trend is relatively stagnant and FLTLF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Netherlands
Industry:
Capital Markets
Sector:
Financials
Type:
stock
Website:
flowtraders.com

52-Week Data

52-Week High:
26.00
52-Week Low:
16.10

Prediction Charts

Market Cap:
984.64M
Price in USD:
22.42
Volume:
0
Beta:
-1.00

Technical Analysis

SMA50:
0.00
SMA100:
0.00
SMA200:
0.00
52-Wk Change:
0%

Stock Predictions

  • Is Flow Traders stock public?
    Yes, Flow Traders is a publicly traded company.
  • What is the Flow Traders stock quote today?
    The Flow Traders stock price is 22.42 USD today.
  • How to buy Flow Traders stock online?
    You can buy Flow Traders 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
Nov-5 22.36 22.36 22.36 22.36
Nov-6 22.36 22.36 22.36 22.36
Nov-7 22.36 22.36 22.36 22.36
Nov-8 22.36 22.36 22.36 22.36
Nov-11 23.03 23.03 23.03 23.03
Nov-12 23.03 23.03 23.03 23.03
Nov-13 23.03 23.03 23.03 23.03
Nov-14 23.03 23.03 23.03 23.03
Nov-15 23.03 23.03 23.03 23.03
Nov-18 22.40 22.42 22.42 22.40
Nov-19 22.42 22.42 22.42 22.42
Nov-20 22.42 22.42 22.42 22.42
Nov-21 22.42 22.42 22.42 22.42
Nov-22 22.42 22.42 22.42 22.42

Flow Traders Earnings

Data Unavailable

Flow Traders Forecast Revenue Growth

Data Unavailable

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