Financhill
Back

Sportradar Group AG Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish and SRAD is experiencing slight buying pressure.

Sportradar Group AG Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 22.91 Buy
20-day SMA: 22.66 Buy
50-day SMA: 23.82 Sell
200-day SMA: 25.57 Sell
8-day EMA: 16.48 Buy
20-day EMA: 9.05 Buy
50-day EMA: 4.17 Buy
200-day EMA: 1.12 Buy

Sportradar Group AG Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 5.69 Buy
Relative Strength Index (14 RSI): 51 Buy
Chaikin Money Flow: 180117 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (21.81 - 23.09) Buy
Bollinger Bands (100): (23.16 - 29.92) Sell

Sportradar Group AG Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Sportradar Group AG Stock

Is Sportradar Group AG Stock a Buy?

SRAD Technical Analysis vs Fundamental Analysis

Buy
55
Sportradar Group AG (SRAD) is a Buy

Is Sportradar Group AG a Buy or a Sell?

Sportradar Group AG Stock Info

Market Cap:
6.8B
Price in USD:
23.11
Share Volume:
720.5K

Sportradar Group AG 52-Week Range

52-Week High:
32.22
52-Week Low:
16.83
Buy
55
Sportradar Group AG (SRAD) is a Buy

Sportradar Group AG Share Price Forecast

Is Sportradar Group AG Stock a Buy?

Fundamental Analysis of Sportradar Group AG

Is Sportradar Group AG a good investment?

  • Analysts estimate an earnings increase this quarter of $0.08 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.29 per share, and an increase next year of $0.10 per share.

Technical Analysis of Sportradar Group AG

Should I short Sportradar Group AG stock?

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