[Trading With Larry Benedict]( How to Boost Your Trading With This Handy Tool By Larry Benedict, editor, Trading With Larry Benedict Traders often try to use charts to determine whether a stock is cheap or expensive. After all, if a stock is cheap, then you could profit by entering a long position. Likewise, an expensive stock could give you the chance for a short trade. However, a stock’s price in isolation isn’t enough information on which to base a trade. That’s where another tool in our box can come in handy… Bollinger Bands are a technical tool to help identify trends. And they add another layer to a stock’s price information. Recommended Link [In 20 years, this little-known trader didnât have a single losing yearâ¦]( [image]( In his video, Market Wizard Larry Benedict reveals how to make all the money you need, in any market, using a single stock. [Click here to watch the video]( and get the name and ticker of the one stock that could put you on the road to financial success. [Click here to learn more.](
--
Price Over Time Bollinger Bands show how a stock’s current price relates to previous prices. More specifically, they reveal how the current price relates to the average price over the last 20 days. Bollinger Bands do this by plotting a simple 20-day moving average (MA). This identifies the average price and trend over the previous 20 days. The upper and lower bands identify a typical trading range, as you can see in the chart of the SPDR Dow Jones Industrial Average ETF Trust (DIA) below. SPDR Dow Jones Industrial Average ETF Trust (DIA) [Image] Source: eSignal Those upper and lower bands (blue lines) on the chart are set at two standard deviations. As a reminder, two standard deviations typically include 95% of a data set. That means the bulk of the price action (95%) should occur within the blue lines. Because Bollinger Bands are based on standard deviations of price data (and not a fixed percentage or level), they help gauge volatility. Volatility is increasing when the bands move further apart – and vice versa. This can help identify a potential breakout move, as volatility often ramps higher when a stock breaks out of a range. And Bollinger Bands can be especially useful in mean reversion trades. Free Trading Resources Have you checked out Larry's free trading resources on his website? It contains a full trading glossary to help kickstart your trading career â at zero cost to you. Just [click here]( to check it out. Using Bollinger Bands With Mean Reversion Prices typically move in waves – that is, an initial move followed by a pullback. So a stock trading at an extreme (upper or lower band) will eventually revert to its mean. And this reversion can help us profit. On the DIA chart, you can see numerous examples of the stock price reverting from the blue lines back to the orange line. And to confirm a potential move, traders often add another technical indicator, the Relative Strength Index (RSI). The RSI helps identify if a stock is overbought (upper grey dashed line) or oversold (lower grey dashed line). If you can find a stock vulnerable to a correction (using the RSI) that is also trading at its outer range (at the upper or lower Bollinger Band), then the odds of a successful mean reversion trade grow in your favor… Look at the chart again. I’ve highlighted three examples (red circles in the RSI) where the two signals combined to set up a strong reversal trade…. SPDR Dow Jones Industrial Average ETF Trust (DIA) [Image] Source: eSignal In mid-June and late September last year, the RSI formed a ‘V’ out of oversold territory while DIA was trading at the lower end of its trading range. And in mid-August, the RSI formed an inverse ‘V’ when DIA was trading right on its upper Bollinger Band. If you look closely, you can identify plenty of other times when these indicators successfully identified a mean reversion trade. If Bollinger Bands are new to you, then the default settings (the 20-day MA and two standard deviations) are a good place to start. Yet experienced traders can also experiment with different MA periods and standard deviations. You might find ones that better suit your trading time frame and goals. Just remember that the overarching goal of our strategy here is to spot when a stock is trading at extremes – and identify a mean reversion trade we can use to profit. Regards, Larry Benedict
Editor, Trading With Larry Benedict Mailbag What other trading tools would you like to see us discuss in a future essay? Write in to feedback@opportunistictrader.com. IN CASE YOU MISSED IT… [âAmazon Loopholeâ Allows You to Collect Up to $28,544 Starting September 10th]( These folks got it made! Thanks to a little-known IRS loophole… They are collecting huge payouts from government-regulated “royalty programs”... every single year! [“Started from a zero balance... Just hit $1,200 a month in [royalties].” – Neil P.]( Like Neil P., who is now collecting $1,200 a month in “royalties.” [“Increased my [royalties] to over $30,000 last year.” – Tom K.]( Tom K. reports he’s making $30,000 a year! [“Increased my [royalties] from about $2,000 to $60,000…” – Elaine T.]( And Elaine T. boosted her payouts to $60,000 per year! If you want to participate, you’d better hurry. The next payout is scheduled for September 10th. [Learn how to collect your first payout before September 10th.]( *Verified review. Past performance does not guarantee future results. [image]( [The Opportunistic Trader]( The Opportunistic Trader
55 NE 5th Avenue, Delray Beach, FL 33483
[www.opportunistictrader.com]( To ensure our emails continue reaching your inbox, please [add our email address]( to your address book. This editorial email containing advertisements was sent to {EMAIL} because you subscribed to this service. To stop receiving these emails, click [here](. The Opportunistic Trader welcomes your feedback and questions. But please note: The law prohibits us from giving personalized advice. To contact Customer Service, call toll free Domestic/International: 1-888-208-6550, Mon–Fri, 9am–5pm ET, or email us [here](mailto:feedback@opportunistictrader.com). © 2023 Omnia Research, LLC. All rights reserved. Any reproduction, copying, or redistribution of our content, in whole or in part, is prohibited without written permission from Omnia Research, LLC. [Privacy Policy]( | [Terms of Use](