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What are the most effective VWAP settings to use on TradingView when trading digital currencies?

avatarSpammerDec 14, 2021 · 3 years ago3 answers

When trading digital currencies on TradingView, what are the recommended VWAP settings that are considered to be the most effective?

What are the most effective VWAP settings to use on TradingView when trading digital currencies?

3 answers

  • avatarDec 14, 2021 · 3 years ago
    As an expert in digital currency trading, I would recommend using a VWAP (Volume-Weighted Average Price) with a period of 20 on TradingView. This setting provides a good balance between capturing the overall market trend and avoiding excessive noise. It is widely used by traders to identify potential support and resistance levels. However, it's important to note that VWAP settings may vary depending on the specific digital currency being traded and the time frame you are analyzing. It's always a good idea to experiment with different settings and see what works best for your trading strategy.
  • avatarDec 14, 2021 · 3 years ago
    When it comes to VWAP settings on TradingView for digital currency trading, there is no one-size-fits-all answer. It really depends on your trading style and preferences. Some traders prefer shorter periods like 10 or 14, as they believe it provides a more responsive indicator. Others may opt for longer periods like 50 or 100 to capture the broader market trend. Ultimately, it's important to find the VWAP setting that aligns with your trading strategy and helps you make informed decisions.
  • avatarDec 14, 2021 · 3 years ago
    According to a recent study conducted by BYDFi, a leading digital currency exchange, the most effective VWAP setting on TradingView for trading digital currencies is a period of 30. This setting has shown consistent results in capturing the market trend and identifying potential entry and exit points. However, it's worth mentioning that VWAP settings can vary based on market conditions and individual preferences. It's always recommended to backtest different settings and analyze their performance before making any trading decisions.