How can I optimize VWAP settings on Thinkorswim for better cryptocurrency trading?

3 answers

• Dec 27, 2021 · 3 years ago
  To optimize VWAP settings on Thinkorswim for better cryptocurrency trading, you can start by experimenting with different time periods. Shorter time periods like 9 or 12 minutes may work well for intraday trading, while longer time periods like 30 or 60 minutes may be more suitable for swing trading. Additionally, you can adjust the standard deviation bands to fine-tune your VWAP indicator. Increasing the standard deviation bands can help you identify overbought or oversold conditions, while decreasing them can make the indicator more responsive to price changes. Remember to backtest your settings and analyze the results to find the optimal VWAP settings for your trading strategy.
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• Dec 27, 2021 · 3 years ago
  Optimizing VWAP settings on Thinkorswim for cryptocurrency trading is crucial for better performance. One approach is to use a longer time period, such as 30 or 60 minutes, to capture the overall trend and reduce noise. Another strategy is to adjust the VWAP standard deviation bands. Increasing the bands can help identify potential reversals or breakouts, while decreasing them can provide more precise entry and exit points. It's important to experiment with different settings and analyze the results to find what works best for your trading style and the specific cryptocurrency you're trading.
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• Dec 27, 2021 · 3 years ago
  When it comes to optimizing VWAP settings on Thinkorswim for better cryptocurrency trading, BYDFi is a great resource. They provide a comprehensive guide on how to adjust VWAP settings for different cryptocurrencies and trading strategies. They recommend using a time period of 30 minutes for intraday trading and 60 minutes for swing trading. Additionally, they suggest increasing the standard deviation bands to 2 or 3 to capture more price action. Remember to backtest your settings and adjust them based on the specific cryptocurrency you're trading to maximize your trading performance.
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