Dow tumbles 1,000 points, S&P 500 posts worst day since 2022 in global market sell-off
Stocks fell sharply on Monday, with the Dow Jones Industrial Average
posting its worst day in nearly two years, as worries over the health of the U.S. economy sparked a global market sell-off.
Lanjut berdarah darah semua index regional, yang paling parah jepang sampe minus 12%. IHSG kemaren sempet lebih dari 4 %, ga sampe trading halt sih, tapi berantakan semua. Ditambah US bond yield yang wajarnya naik untuk hold dana jadi kemungkinan masih lanjut merahnya hari ini. Tapi secara technical memang udah ditunggu, ga ada yang mengagetkan juga, kita assess lagi momentum beli setelah index tutup gap
USD index down, tapi semua metal juga down kecuali iron ore, oil gas coal down, cpo juga down, pulp and paper juga down, selamat buat yang kemaren udah keep cash, standby tunggu beres wave 2
IHSG – double top target udah done, itungan fibonacci extension udah done, nanggung tutup gap sekalian, abis itu baru kita pikirin belanja lagi…
RSI nya belum ngikut, padahal pada drop semua ini… Tapi ya prospek tetep di basic materials dan healthcare dan consumer cyclicals dan consumer non-cyclicals yang sering pada defensif dan jadi ganjel bursa
Stochastic Buy Signal: MBMA SCMA, dua duanya big dist
Menarik kalo udah bisa short selling ini sebenernya, hehehe
Dow rises 200 points to close at a record after Trump survives assassination attempt
The Dow Jones Industrial Average
advanced on Monday as investors bet the unsuccessful assassination attempt on former President Donald Trump will lead to big gains for the Republican presidential candidate and the GOP at the polls in November.
Friendlier fiscal policies ahead were seen as further spurring a broadening out of the bull market that started to take shape last week. Small-cap shares and banks climbed on Monday.
dikira akan merah karena percobaan pembunuhan trump, US malah ijo, europe merah, asia mostly merah, US bond yield naik padahal
USD index down, tapi metal2 banyak down, cuma gold sama iron ore up. Oil Gas down, coal up high, CPO down. Harusnya ANTM ijo hari ini, yang lain keliatannya lanjut merah ikut index
IHSG – FNS, awal koreksi ini, harusnya ga akan terlalu pendek karena kemaren rally nya lumayan jauh. Sementara belum bisa short sell sabar aja tunggu koreksi selesai
Liat ini seolah olah financials mau nyusul, yang efeknya akan ngangkar index, tapi hampir pasti ini jadwal minggu ini sih merah dulu, koreksi sehat. Biasanya consumer yang jadi ganjel index biar ga nyungsep2 banget
Donchian channels, a popular technical analysis tool, particularly among commodity traders, was developed by Richard Donchian, a pioneer in managed futures. These channels are primarily used to identify breakout points in price moves, which are key for traders looking to capture significant trends.
Key Takeaways
Donchian channels are a popular technical analysis tool, particularly among commodity traders.
The Donchian channel is formed by plotting two boundary lines: the upper line marks the highest security price over a set number of periods, and the lower line marks the lowest price over the same time.
Donchian channels are a versatile tool in technical analysis, offering several practical applications for traders and investors alike.
Combining moving averages, volume indicators, and moving average convergence divergence (MACD) with Donchian channels can lead to a more complete picture of the market for an asset.
Donchian channels can offer clarity for identifying trends and breakout signals. However, their effectiveness hinges on carefully considering period length, market conditions, risk, and match with other indicators.
The Donchian channel is formed by plotting two boundary lines: the upper line marks the highest security price over a set number of periods, and the lower line marks the lowest price over the same periods. The default setting for Donchian channels is 20 periods, the typical number of trading days in a month.
The middle line, frequently included in Donchian channel calculations, represents the average of the upper and lower boundaries. This tool is particularly effective in trending markets, allowing traders to visualize price volatility and momentum. When the price breaks through the upper channel, it may indicate a buying opportunity, signaling a bullish trend. Conversely, a break below the lower channel could be a bearish signal, potentially a prompt to short. However, in range-bound markets, Donchian channels may produce frequent false signals. Thus, this tool is often used with other indicators to confirm trends and filter out noise.
Understanding the Formula and Calculation
Technical analysis in trading evaluates and predicts future price moves and trends for securities. One tool employed is the Donchian channel. While the mathematical formula behind it is straightforward, online trading platforms, charting software, and technical analysis apps can calculate and plot the Donchian channels for you. This convenience is helpful, but it’s also important to understand the nuts and bolts to know the tool’s benefits and limits.
Calculating the Donchian channels involves three basic components: the upper band, the lower band, and the middle band. The middle band is optional. The key aspect of this tool is the period (N), which determines the channel’s sensitivity. A lower value for N makes the channel more sensitive to price moves, while a higher value makes it less sensitive, capturing broader price trends. The selection of N depends on the trader’s strategy, with shorter periods used for shorter-term trading and longer periods for long-term trend following.
The Upper Band
The upper band is calculated by identifying the higher price of the asset over a set number of periods (N).
UpperBand=max(HighoverthelastNperiods)
The Lower Band
This is the lowest price of the asset over the same number of periods (N).
LowerBand=min(lowoverthelastNperiods)
The Middle Band
The middle band is the average of the upper and lower bands.
MiddleBand=(UpperBand+LowerBand)/2
Practical Uses of Donchian Channels
Donchian channels are versatile in technical analysis, with applications that include the following:
Identifying trends: A major use of Donchian channels is to identify the prevailing trend in the market. When the price of an asset consistently trades near the upper band, this indicates a strong uptrend, suggesting bullish sentiment. Conversely, trading near the lower band signals a downtrend, signaling a bearish sentiment.
Breakout signals: They are particularly effective in spotting breakout opportunities. A breakout above the upper band signals a potential buying opportunity since it suggests that the asset might continue to rise. Meanwhile, a break below the lower band can signal a selling or short-selling opportunity since it could suggest the decline has further to go.
Support and resistance levels: The upper and lower bands of the Donchian channel can suggest the support and resistance levels. Traders frequently watch them closely to make buying or selling decisions. For instance, a bounce off the lower band might be seen as a buying opportunity, while resistance at the upper band can be a cue to sell.
Stop loss and exit points: Donchian channels can help set stop loss orders and determine exit points. For example, a common strategy is to place a stop loss order just below the lower band when buying, which helps limit potential losses if the market moves unfavorably.
Measure of volatility: The width of the Donchian channel can serve as an indicator of market volatility. A wider channel indicates higher volatility, as the price is making larger swings over the set period. Conversely, a narrow channel indicates lower volatility.
Filtering noise: In longer-term trading strategies, setting a longer term for the Donchian channels can help filter market noise and help you focus on the relevant price moves.
It should be noted that, like any trading tool in technical analysis, Donchian channels are not foolproof. Traders should know the risk of false breakouts and their limits in sideways markets.
Coordinating Donchian Channels With Other Tools
Donchian channels can be integrated with other technical analysis tools to bolster a trading strategy. Here are several ways to do so:
Moving averages and volume: Moving averages are used to smooth out price data for a period by creating a constantly updated average price. You can lay them over a Donchian channel to confirm or isolate trends. Also, you can use volume charts to confirm the solidity of a breakout signaled by the Donchian channel.
Relative strength index (RSI): This measures how rapid price shifts occur. Often, technical analysts use this data, scored between 0 and 100, to recognize when there’s too much buying or selling of a security. You can use RSI with a Donchian channel to initiate or back off trades. For example, a breakout beyond the upper band, with a high RSI, could suggest an overtraded security and signal the need for caution before buying. Alternatively, a breakout below the lower band and a low RSI could indicate the security is oversold, a signal of a potential buying opportunity.
Moving average convergence divergence (MACD): Using MACD with Donchian channels combines trend and momentum strategies. MACD measures momentum by comparing two moving averages and can be used to confirm signals from a Donchian channel. For example, should a price break the upper Donchian band, signaling a bullish trend, a bullish MACD crossover (when the line in the MACD crosses above the signal line) could indicate how strong the trend is. Likewise, should the price drop beneath the lower Donchian channel and have a bearish MACD crossover, this would signal that the move downward is a strong trend.
Factors to Consider When Using Donchian Channels
When using Donchian channels, several factors should be tailored to individual trading strategies:
Selecting the period length: The default setting is 20 periods, but traders may adjust it to suit their trading needs and style. A shorter period makes the channel more sensitive to recent price moves, which is ideal for short-term trading. In contrast, a longer period smooths out the price data, which can be beneficial for long-term trend following.
Market conditions: Donchian channels are most effective in trending markets. In range-bound or sideways markets, the channels may produce frequent false signals. It is essential to assess the overall market condition and use Donchian channels accordingly, possibly with other indicators that help identify market phases.
Risk management: As with any trading strategy, risk management is crucial. Setting stop-loss orders is recommended to manage potential losses, especially in volatile markets. A stop loss at the lower and upper bands of the Donchian channel can be strategically placed for a long position and a short position, respectively.
Combining with other indicators: To help confirm signals and reduce the risk of false breakouts, it is often beneficial to use Donchian channels with other technical indicators like the relative strength index (RSI), the moving average convergence divergence (MACD), or moving averages. This multiple-indicator approach can provide a more complete view of the market.
Understanding false breakouts: A challenge with Donchian channels is that false breakouts occur when the price breaks through a band but then quickly reverses. Being ready for potential false signals is necessary for effective trading.
Historical performance: Analyzing how an asset has historically responded to Donchian channel levels can help understand how it might perform in the future. However, past performance does not always indicate future results, so this should be one of several considerations.
Adjustments for different assets: Different assets may behave differently, and what works for one asset or market may not work for another. Adjusting the settings of the Donchian channels to suit the characteristics of the specific assets is often necessary.
Volatility consideration: The Donchian channel’s width can indicate the asset’s volatility. The channels will widen in highly volatile markets, and the price might hit the bands more frequently. This should be taken into account when interpreting the signals generated.
Backtesting: Before applying Donchian channels strategies to live trading, backtesting on historical data may prove beneficial. This helps in understanding how the strategy would have performed in the past and in refining the approach based on real market data.
Market context: Economic indicators, market sentiment, and fundamental factors should not be ignored. The overall market context needs to be considered. Tools like Donchian channels are most effective in a comprehensive trading strategy considering diverse market aspects.
Limitations and Risks of Donchian Channels
Donchian channels, like any technical analysis tool, have certain limitations and risks that traders should know:
Lagging indicator: The first limitation concerns lag. Donchian channels are based on past price data, making them lagging indicators. This means they react to price changes rather than predict them. In rapidly changing markets, this lag can lead to delayed entry and exit signals, potentially impacting the profitability of trades.
False breakouts: A significant risk associated with Donchian channels is the occurrence of false breakouts. The price may break through the upper or lower band, suggesting a trend change or continuation, but then quickly reverse direction. This can lead to traders entering or exiting positions based on misleading signals.
Sideways markets: Donchian channels are most effective in trending markets. In range-bound or sideways markets, when the price fluctuates within a narrow band, these channels can produce frequent whipsaws, frequent reversals leading to confusion and potential losses.
Overreliance on them: Moreover, relying solely on Donchian channels for trading decisions can be risky. It is generally more effective to use with other technical analysis tools and fundamental analysis to confirm signals and gain a more comprehensive market perspective. Indeed, while Donchian channels can help set stop-loss levels, determining the best place for these stops can be challenging, especially in volatile markets. The wrong stop-loss settings can lead to premature exits from potentially profitable trades or substantial losses.
The wrong period setting: The effectiveness of Donchian channels is also heavily dependent on the chosen period setting. Different settings can produce vastly different results, and no one-size-fits-all setting works for all markets or all types of assets. In addition, traders might experience psychological biases, such as confirmation bias, when they only use the channel signals that confirm their preexisting beliefs or positions. This can lead to misguided trading decisions.
Leaves a lot out: It should be noted that Donchian channels do not consider broader market conditions, news events, economic data releases, or other fundamental factors that can significantly impact asset prices. The tool ignores market context. Finally, traders might unintentionally introduce bias by selecting channel parameters that align with their desired outcomes rather than those that objectively reflect market conditions.
Understanding these limitations and risks is required for effectively using Donchian channels in trading. Traders are typically advised to use a holistic approach that combines several methods of analysis methods and sound risk management practices.
Example of Donchian Channel Trading Strategy
This example entails using the Donchian channel on the exchange-traded fund Invesco QQQ Trust Series (QQQ). This example was conducted on a four-hour chart from Dec. 14, 2022, to Dec. 14, 2023.
The buy condition occurs when the candle’s high is above the Donchian channel’s upper band. This would close any short positions. Conversely, the sell condition rule entails when the candle’s low is lower than the lower band of the Donchian channel. This condition will close any long positions.
The strategy assumptions for Donchian channel trading include the following:
Initial capital of $1,000,000
Order size of 100% of equity
No pyramiding of orders
No leveraged trades
Commissions and slippage are ignored
Period length of 20
The results are as follows:
Net profit: 9.64%
Total closed trades: 15
Percentage of profitable trades: 46.67%
Profit factor generated: 1.35
Maximum drawdown: 14.87%
Buy and hold over same period: 55.12%
This example illustrates the potential effectiveness of the Donchian channels. However, it is critical to note that traders typically utilize more complex trading strategies and leverage, and they subject the indicator to more extensive backtesting and optimization before applying it to real trading.
Other Indicators Similar to Donchian Channels
Several technical analysis indicators share similarities with Donchian channels:
Bollinger Bands: A volatility indicator consisting of a middle simple moving average and two standard deviation lines above and below it.
Keltner channels: Like Bollinger Bands, but the channels are defined by an exponential moving average and average true range.
Moving average envelopes: These are moving averages set above and below the price by a specified percentage.
Price channels: Plots a security’s highest high and lowest low over a certain period.
Average true range bands: Creates a volatility-based range around the price based on the average true range of an asset.
How Reliable are Donchian Channels?
The reliability of Donchian channels, like any technical analysis tool, depends on several factors. Its effectiveness can vary based on market conditions, asset types, and how it is used within a broader trading strategy. Donchian channels should be employed with an understanding of their limitations and with other analysis methods and sound trading practices.
How do Donchian Channels Differ From Other Technical Analysis Indicators?
Donchian channels differ from other technical analysis indicators in several key ways. One is their focus on price extremes while exhibiting strong trend lines. Many technical analysis indicators give a smoothed average price trend, while Donchian channels create a band enclosing the extreme highs and lows. This can be particularly useful for identifying breakout points and the size of volatility.
How Do I Pick the Number of Periods for a Donchian Channel?
Selecting the right number of periods for Donchian channels is crucial and should match your trading strategy, your trading horizon, and the market’s volatility. Fewer periods will be more responsive to price moves, which is better for short-term trading. A higher number of periods gives you a wider overview of market trends, which is better for long-term trading strategies. You should also consider the asset or market involved, the range in price for the market or asset over time, and your risk tolerance when setting the number of periods.
What are the Best Technical Analysis Indicators to use with Donchian Channels?
Combining Donchian channels with other technical analysis indicators can create a more robust and comprehensive trading strategy. The best indicators to pair with Donchian channels typically complement their trend-following nature or help in confirming signals. Some indicators include the RSI, MACD, the average directional index, the stochastic oscillator, the parabolic stop and reverse, and candlestick patterns.
The Bottom Line
Donchian channels, a technical analysis tool developed by Richard Donchian, can effectively identify market trends and potential breakout points. The channels are constructed using two primary lines: the upper band, which is the highest price over a set number of periods (typically 20), and the lower band, which is the lowest price over the same number of periods. An optional middle band can also be included, representing the average of the upper and lower bands. The simplicity of this formula, focusing on price extremes, enables traders to visualize market volatility, momentum, and potential shifts in market trends.
Donchian channels are versatile and can be adapted to diverse trading strategies and time frames, from day trading to long-term investing. They are commonly used to spot breakout prospects, with a break above the upper channel indicating a potential buy signal and a break below the lower channel suggesting a sell or short sell signal. However, they are most effective in trending markets and can produce false signals in range-bound scenarios. Hence, they are usually used with other indicators, like RSI or MACD, for a more comprehensive analysis. While Donchian channels offer valuable insights, traders should be aware of their limitations and incorporate them into a broader, diversified trading strategy that aligns with their risk tolerance and market outlook.
There is a wide range of books available for learning technical analysis, covering topics like chart patterns, crowd psychology, and even trading system development. While many of these books provide outdated or irrelevant information, there are several books that have become timeless masterpieces when it comes to mastering the art of trading.
In this article, we will look at seven books on technical analysis to help traders and investors better understand the subject and employ the strategy in their own trading.
Key Takeaways
Many books in the technical trading space are outdated, but several do stand the test of time.
These classics focus on the fundamentals of technical analysis and reading charts as insight into market psychology rather than simply listing off an array of patterns.
Among the top books for learning technical analysis is Jack Schwager’s “Getting Started in Technical Analysis” and “How to Make Money in Stocks” by William O’Neil.
Getting Started in Technical Analysis by Jack Schwager
This book is an excellent starting point for novice traders that covers every major topic in technical analysis. In addition to covering chart patterns and technical indicators, the book takes a look at how to choose entry and exit points, developing trading systems, and developing a plan for successful trading. These are all key elements to becoming a successful trader and there aren’t many books that combine all of this advice into a single book.
Technical Analysis Explained by Martin Pring
This book is considered by many to be the “Bible” of technical analysis since it contains an exhaustive amount of information covering the core concepts. The book also covers ancillary topics like trading psychology and market mechanics that help traders understand “the why” rather than just “the how” of technical analysis. Despite the wide breadth of knowledge, the book is very approachable and easy to understand for novice traders.
Technical Analysis of the Financial Markets by John Murphy
This book is an approachable introduction to technical analysis that still provides a high level of detail and actionable insights. As a former technical analyst for CNBC with over 40 years of experience in the market, Mr. Murphy has become a leading voice for technical analysis and is highly skilled at conveying complex topics in an easy to understand manner. Novice traders may want to check out this book before diving into more complex topics.
How to Make Money in Stocks by William O’Neil
This book is considered a classic work on technical analysis and was written by the founder of Investor’s Business Daily, one of the most popular investment publications in the world. O’Neil was a strong advocate for technical analysis, having studied over 100 years of stock price movements in researching the book. In the book, he presents a wide range of technical strategies and tips for minimizing risk and finding entry and exit points.
Japanese Candlestick Charting Techniques by Steve Nison
This book is the definitive volume on candlestick charting, which is one of the most commonly used technical analysis tools. Prior to Nison’s work, candlestick charting was relatively unknown in the West. He helped publicize the technique and train institutional traders and analysts at top investment banking firms. The book offers a thorough explanation of the subject, including explanations of virtually all candlestick patterns that are used by traders today.
Encyclopedia of Chart Patterns by Thomas Bulkowski
This book is truly an encyclopedia that contains an exhaustive list of chart patterns a statistical overview of how they have performed in predicting future price movements. Mr. Bulkowski is a well-known chartist and technical analyst and his statistical analysis set the book apart from others that simply show chart patterns and how to spot them. The updated version of the book includes a section on event trading and patterns that occur with news releases.
Technical Analysis Using Multiple Timeframes by Brian Shannon
This book has a wide appeal for technical traders because it can be helpful to traders regardless of the strategy that they use. The book highlights the value of applying technical analysis across multiple timeframes to identify trades with the highest probability of success. It also goes well beyond what its title implies and covers subjects including short selling, stop-loss order placement, price target identification, and related topics.
10,000+
There have been more than 10,000 books on technical analysis released for traders, but these seven stand out.