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Easy way to learn candle patterns?
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6 Answers
David Hunter
Answered 2 years, 11 months ago
<p id="isPasted">The open, the close, and the wicks are the three main components of a candlestick. If the close price is above the open, the candle will turn green/blue (the color depends on the chart settings). If the close price is below the open, the candle will turn red.</p><p>On a daily chart, each candle represents one day, with the open price representing the first price traded for the day and the close price representing the last price traded.</p><ul style="margin-bottom:0cm;" type="disc"><li style="margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:normal;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;">Open price: The open price depicts the first traded price during the formation of a new candle.</li><li style="margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:normal;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;">High price: The top of the upper wick. If there is no upper wick, then the high price is the open price of a bearish candle or the closing price of a bullish candle.</li><li style="margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:normal;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;">Low price: The bottom of the lower wick. If there is no lower wick, then the low price is the open price of a bullish candle or the closing price of a bearish candle.</li><li style="margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:normal;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;">Close price: The close price is the last price traded during the formation of the candle.</li></ul><p>The image below shows a blue candle with a close price above the open and a red candle with the close below the open.</p><p class="forexqa-img-container"><img src="https://prod-forexqna.s3.amazonaws.com/uploads/froala_editor/images/candlestick.png" style="width: 318px;" class="fr-fic fr-dib fr-draggable forexqa-img fr-fil"></p>
<p id="isPasted">The open, the close, and the wicks are the three main components of a candlestick. If the close price is above the open, the candle will turn green/blue (the color depends on the chart settings). If the close price is below the open, the candle will turn red.</p><p>On a daily chart, each candle represents one day, with the open price representing the first price traded for the day and the close price representing the last price traded.</p><ul style="margin-bottom:0cm;" type="disc"><li style="margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:normal;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;">Open price: The open price depicts the first traded price during the formation of a new candle.</li><li style="margin-top:0cm;margin-right:0cm;margin-bottom:8.0pt;margin-left:0cm;line-height:normal;font-size:15px;font-family:"Calibri",sans-serif;color:black;background:white;">High price: The top of the …</li></ul>
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Vernon Petty
Answered 2 years, 8 months ago
<p id="isPasted">Candlestick patterns are a technical analysis tool that can help traders identify potential trading opportunities based on the price action of a security. These patterns are formed by the combination of the open, high, low, and close prices for a given time period, typically a day or week.</p><p>Here are some tips for learning candle patterns:</p><ol><li>Start by familiarizing yourself with the basic candlestick patterns, such as the Doji, hammer, and shooting star. These patterns are relatively easy to identify and can give you a good foundation for understanding more complex patterns.</li><li>Practice identifying patterns on historical charts. Use a charting platform to look at the price action of different securities over different time frames and try to identify different patterns. This will help you get a feel for how the patterns look and how they behave in different market conditions.</li><li>Look for confirmation of the pattern. Candlestick patterns are often more reliable when they are confirmed by other technical indicators or by the overall trend of the market. For example, a hammer pattern may be more reliable if it appears at the end of a downtrend, as it could indicate a potential reversal.</li><li>Use the patterns in combination with other technical analysis tools. Candlestick patterns can be a powerful tool for identifying potential trading opportunities, but they should not be used in isolation. Instead, try using them in combination with other technical indicators, such as moving averages or oscillators, to get a more complete picture of the market.</li><li>Keep in mind that no single pattern is a surefire indicator of future price movements. Candlestick patterns can be useful for identifying potential trading opportunities, but it is important to use them in conjunction with other analysis techniques and to always manage risk appropriately.</li></ol>
<p id="isPasted">Candlestick patterns are a technical analysis tool that can help traders identify potential trading opportunities based on the price action of a security. These patterns are formed by the combination of the open, high, low, and close prices for a given time period, typically a day or week.</p><p>Here are some tips for learning candle patterns:</p><ol><li>Start by familiarizing yourself with the basic candlestick patterns, such as the Doji, hammer, and shooting star. These patterns are relatively easy to identify and can give you a good foundation for understanding more complex patterns.</li><li>Practice identifying patterns on historical charts. Use a …</li></ol>
5 Views
Charles Groth
Answered 2 years, 3 months ago
<p id="isPasted">Learning candlestick patterns can be a valuable tool for traders looking to gain insight into market trends and price action. Here are some easy steps to help you learn candlestick patterns:</p><ol><li>Understand the basics: Before diving into specific candlestick patterns, it's important to understand the basic elements of a candlestick chart, including the open, high, low, and close prices. Once you have a solid understanding of these basics, you can learn more advanced candlestick patterns.</li><li>Start with common patterns: There are many different candlestick patterns, but some are more common and widely used than others. Begin by learning the most commonly used patterns, such as doji, hammer, engulfing, and harami patterns.</li><li>Use visual aids: There are many free resources available online that provide visual aids, such as images or videos, to help you learn and recognize different candlestick patterns. These can be a useful tools in helping you memorize and identify patterns.</li><li>Practice on historical data: Most trading platforms offer access to historical price data, which can be used to practice identifying candlestick patterns. Look for opportunities to practice identifying patterns in historical data, and compare your results to actual market movements to gauge your accuracy.</li><li>Use pattern recognition software: Several software programs can help you identify candlestick patterns in real-time market data. Consider using one of these programs as a tool to help you identify and learn new patterns as they occur.</li><li>Stay up-to-date: The market is constantly evolving, and new candlestick patterns may emerge over time. Stay up-to-date with market news and trends to ensure you are always learning and improving your pattern recognition skills.</li></ol>
<p id="isPasted">Learning candlestick patterns can be a valuable tool for traders looking to gain insight into market trends and price action. Here are some easy steps to help you learn candlestick patterns:</p><ol><li>Understand the basics: Before diving into specific candlestick patterns, it's important to understand the basic elements of a candlestick chart, including the open, high, low, and close prices. Once you have a solid understanding of these basics, you can learn more advanced candlestick patterns.</li><li>Start with common patterns: There are many different candlestick patterns, but some are more common and widely used than others. Begin by learning the most …</li></ol>
4 Views
Dustin Smith
Answered 2 years, 3 months ago
<p id="isPasted">Candlestick patterns are a popular tool used in technical analysis to help traders identify potential market trends and price reversals. Candlestick charts provide a visual representation of market movements, and each candlestick represents a specific time period. The candlestick consists of a body, representing the difference between the opening and closing prices, and wicks, representing the highest and lowest prices reached during the period.</p><p>There are many different candlestick patterns, each with its own unique characteristics and potential implications for market movement. Some of the most commonly used patterns include the doji, hammer, engulfing, and harami patterns. The doji pattern, for example, occurs when the opening and closing prices are very close together, indicating indecision in the market. The hammer pattern, on the other hand, consists of a long wick below a small body and can indicate a potential price reversal.</p><p>To learn candlestick patterns, traders should start with the basics and gradually work their way up to more complex patterns. Visual aids, such as images and videos, can be useful tool in helping traders learn and recognize different candlestick patterns. Practice on historical data can also help traders develop their pattern recognition skills and improve their accuracy.</p><p>While candlestick patterns can be a useful tool, traders should always consider multiple indicators and factors when making trading decisions. It's also important to stay up-to-date with market trends and news, as new patterns may emerge over time. By learning candlestick patterns and using them in conjunction with other technical indicators and fundamental analysis, traders can gain a deeper understanding of market trends and potentially improve their trading strategies.</p>
<p id="isPasted">Candlestick patterns are a popular tool used in technical analysis to help traders identify potential market trends and price reversals. Candlestick charts provide a visual representation of market movements, and each candlestick represents a specific time period. The candlestick consists of a body, representing the difference between the opening and closing prices, and wicks, representing the highest and lowest prices reached during the period.</p><p>There are many different candlestick patterns, each with its own unique characteristics and potential implications for market movement. Some of the most commonly used patterns include the doji, hammer, engulfing, and harami patterns. The doji pattern, …</p>
3 Views
Anthony Giles
Answered 2 years ago
<p id="isPasted">Candlesticks patterns are the same in stock, forex, and currency markets.</p><p>Candlesticks form the basis of the Technical analysis in the field of stocks, currency, or forex trading. Candlesticks give you an idea of how to make a judgment over the next course of action in the market. They will convey to you whether you should keep your bias bullish or bearish for the upcoming few sessions by their structures(i.e. body and shadows).</p><p>One or more candlesticks form a pattern which together gives you an idea of which side of the markets, the buyers or the sellers are governing the markets.</p><p>If you see the market as a battlefield of the buyers and the sellers, the candlesticks will give you a session-by-session report of the battlefield so that you can bet on the winning party.</p><p>Given below is the basic understanding of the candlesticks</p><p><br></p><p><img data-fr-image-pasted="true" 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" 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<p id="isPasted">Candlesticks patterns are the same in stock, forex, and currency markets.</p><p>Candlesticks form the basis of the Technical analysis in the field of stocks, currency, or forex trading. Candlesticks give you an idea of how to make a judgment over the next course of action in the market. They will convey to you whether you should keep your bias bullish or bearish for the upcoming few sessions by their structures(i.e. body and shadows).</p><p>One or more candlesticks form a pattern which together gives you an idea of which side of the markets, the buyers or the sellers are governing the …</p>
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