🚀 Hey Traders! Have You Ever Felt Lost in the Chaos of Market Fluctuations?
What if I told you there’s a powerful tool that can help you cut through the noise and give you a statistical edge to predict SUPPORT and RESISTANCE movements with confidence?
Let me take 5 minutes of your time to introduce you to something that could transform your trading game: Expected Range Volatility (ER) .
What is Expected Range Volatility (ER)?
The Expected Range (ER) is a framework that helps traders understand how much an asset is likely to move within a specific timeframe. Based on CME market data and Nobel Prize-winning calculations, price movements within the expected volatility corridor have a 68% probability of staying within those boundaries.
💡 Key Insight: When the price approaching certain levels, there’s a 68% chance the price won’t break through those boundaries. This means you can use ER as a powerful filter to identify more precise entry and exit points for your trades.
Why Should You Care About ER?
When I first discovered the ER tool, it felt like stumbling upon a gold mine in the trading world. Here’s why:
It’s free and available on the CME exchange’s website.
It’s underutilized —95% of traders don’t even know it exists.
It provides statistical clarity in a world full of uncertainty.
I remember the first time I used ER in my analysis—it completely changed the way I approached intraday trading. Now, I never make a trade without checking the ER data. It’s become an essential part of my strategy.
How to Use ER in Your Trading
1️⃣ Input the Data: Head over to the CME website, plug in the necessary parameters, and get your ER values.
2️⃣ Set Boundaries: Use the ER range as a guide to set potential support and resistance levels.
3️⃣ Filter Trades: Only take trades that align with the ER framework to improve your precision.
A recent example is the Japanese yen futures market.
Don't be confused by the fact that we take futures levels, it can easily be plotted on a spot chart for forex market (the dollar/yen).
Limitations to Keep in Mind
While ER is a powerful tool, it’s not a crystal ball. Here are some limitations:
Market Dynamics: Short-term price movements can be unpredictable due to sentiment, news, or economic events. ER provides a statistical estimate, but it doesn’t guarantee outcomes.
Assumptions: The formula assumes price movements follow a log-normal distribution , which may not hold true in all market conditions.
Your Turn: Are You Using ER in Your Strategy?
💭 Here’s the million-dollar question: Are you leveraging the power of Expected Range Volatility in your trading? If not, why not start today?
💬 Share your thoughts in the comments below:
Do you currently use ER or similar statistical tools?
Want to Dive Deeper?
If you’re ready to take your trading to the next level, don’t miss out on our all-in-one resource designed to help you master tools like ER and other valuable sources to gain market edge!
🔥 Remember:
No Valuable Data = No Edge!
What if I told you there’s a powerful tool that can help you cut through the noise and give you a statistical edge to predict SUPPORT and RESISTANCE movements with confidence?
Let me take 5 minutes of your time to introduce you to something that could transform your trading game: Expected Range Volatility (ER) .
What is Expected Range Volatility (ER)?
The Expected Range (ER) is a framework that helps traders understand how much an asset is likely to move within a specific timeframe. Based on CME market data and Nobel Prize-winning calculations, price movements within the expected volatility corridor have a 68% probability of staying within those boundaries.
💡 Key Insight: When the price approaching certain levels, there’s a 68% chance the price won’t break through those boundaries. This means you can use ER as a powerful filter to identify more precise entry and exit points for your trades.
Why Should You Care About ER?
When I first discovered the ER tool, it felt like stumbling upon a gold mine in the trading world. Here’s why:
It’s free and available on the CME exchange’s website.
It’s underutilized —95% of traders don’t even know it exists.
It provides statistical clarity in a world full of uncertainty.
I remember the first time I used ER in my analysis—it completely changed the way I approached intraday trading. Now, I never make a trade without checking the ER data. It’s become an essential part of my strategy.
How to Use ER in Your Trading
1️⃣ Input the Data: Head over to the CME website, plug in the necessary parameters, and get your ER values.
2️⃣ Set Boundaries: Use the ER range as a guide to set potential support and resistance levels.
3️⃣ Filter Trades: Only take trades that align with the ER framework to improve your precision.
A recent example is the Japanese yen futures market.
Don't be confused by the fact that we take futures levels, it can easily be plotted on a spot chart for forex market (the dollar/yen).
Limitations to Keep in Mind
While ER is a powerful tool, it’s not a crystal ball. Here are some limitations:
Market Dynamics: Short-term price movements can be unpredictable due to sentiment, news, or economic events. ER provides a statistical estimate, but it doesn’t guarantee outcomes.
Assumptions: The formula assumes price movements follow a log-normal distribution , which may not hold true in all market conditions.
Your Turn: Are You Using ER in Your Strategy?
💭 Here’s the million-dollar question: Are you leveraging the power of Expected Range Volatility in your trading? If not, why not start today?
💬 Share your thoughts in the comments below:
Do you currently use ER or similar statistical tools?
Want to Dive Deeper?
If you’re ready to take your trading to the next level, don’t miss out on our all-in-one resource designed to help you master tools like ER and other valuable sources to gain market edge!
🔥 Remember:
No Valuable Data = No Edge!
Related publications
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Related publications
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.