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Relativestrength

Swing Trade Set UPA simple, Swing Trade Set UP. Often it is simple trade setup that make lots of money. This is one such set up. Here trend is captured with alignment of MA's . 3 MAs are plotted EMA-10, EAM-21 and SMA 50. To pick the trend, first condition is EMA-10 > EMA-21 > SMA 50. Second condition is price above all these MAs. In the chart it is marked wherever this occurred. Now to make entry you have to wait till the stock out performs the Index. It can be captured through plotting a indicator named RS or Relative strength. use Bench mark index as #NIFTY50 or #CNX500. You can see that there are areas where MAs aligned but RS was negative and trend failed. But when all these aligned price moved up nicely. You can exit the trade on deceive break of EMA 21 or SMA 50. Try this on many charts and lean the nuance before making actual trade.
NSE:DEEPAKFERTEducation
by Vasu_devan
RSI Indicator LIES! Untold Truth About RSI! The Relative Strength Index (RSI) is a classic technical indicator that is applied to identify the overbought and oversold states of the market. While the RSI looks simple to use, there is one important element in it that many traders forget about: it's a lagging indicator. This means it reacts to past price movements rather than predicting future ones. This inherent lag can sometimes mislead traders, particularly when the markets are volatile or trade in a strong bullish/bearish trend. In this article, we will discuss the situations when RSI indicator will lie to you. We will go through the instances when the indicator should not be relied and not used on, and I will explain to you the best strategy to apply RSI. Relative Strength Index analyzes the price movements over a specific time period and displays a score between 0 and 100. Generally, an RSI above 70 suggests an overbought condition, while an RSI below 30 suggests an oversold condition. By itself, the overbought and overbought conditions give poor signals, simply because the market may remain in these conditions for a substantial period of time. Take a look at a price action on GBPCHF. After the indicator showed the oversold condition, the pair dropped 150 pips lower before the reversal initiated. So as an extra confirmation , traders prefer to look for RSI divergence - the situation when the price action and indicator move in the opposite direction. Above is the example of RSI divergence: Crude Oil formed a sequence of higher highs, while the indicator formed a higher high with a consequent lower high. That confirmed the overbought state of the market, and a bearish reversal followed. However, only few knows that even a divergence will provide accurate signals only in some particular instances. When you identified RSI divergence, make sure that it happened after a test of an important key level. Historical structures increase the probability that the RSI divergence will accurately indicate the reversal. Above is the example how RSI divergence gave a false signal on USDCAD. However, the divergence that followed after a test of a key level, gave a strong bearish signal. There are much better situations when RSI can be applied, but we will discuss later on, for now, the main conclusion is that RSI Divergence beyond key levels most of the time will provide low accuracy signals. But there is one particular case, when RSI divergence will give the worst, the most terrible signal. In very rare situations, the market may trade in a strong bullish trend, in the uncharted territory, where there are no historical price levels. In such cases, RSI bullish divergence will constantly lie , making retail traders short constantly and lose their money. Here is what happens with Gold on a daily. The market is trading in the uncharted territory, updated the All-Time Highs daily. Even though there is a clear overbought state and a divergence, the market keeps growing. Only few knows, however, that even though RSI is considered to be a reversal, counter trend indicator, it can be applied for trend following trading. On a daily time frame, after the price sets a new high, wait for a pullback to a key horizontal support. Your bullish signal, will be a bearish divergence on an hourly time frame. Here is how the price retested a support based on a previous ATH on Gold. After it approached a broken structure, we see a confirmed bearish divergence. That gives a perfect trend-following signal to buy the market. A strong bullish rally followed then. RSI indicator is a very powerful tool, that many traders apply incorrectly. When the market is trading in a strong trend, this indicator can be perfectly applied for following the trend, not going against that. I hope that the cases that I described will help you not lose money, trading with Relative Strength Index. ❤️Please, support my work with like, thank you!❤️
Editors' picks
Education
by VasilyTrader
34
Trading with RSI: The Bad, The Good and Even BetterIn this video I explain how to use RSI (Relative Strength Index) to make trading decisions. You'll learn how to properly use RSI oversold condition, combining low timeframe price action signals with high level context analysis. Besides of explaining three different strategies (the bad, the good and even better) I'll do back-testing on historical data to demonstrate how those strategies translate into real trading results. Disclaimer I don't give trading or investing advice, just sharing my thoughts.
AMEX:SPYEducation
by hermes_trisme
Mastering the 70/30 RSI Trading Strategy - Plus Divergences!Mastering the 70/30 RSI Trading Strategy: A Comprehensive Guide The 70/30 RSI technique stands out as a popular and effective method for making informed decisions in the financial markets. Leveraging the Relative Strength Index (RSI) indicator, this strategy empowers traders to navigate the complexities of buying and selling various financial instruments, from stocks to currencies. In this article, we delve into the intricacies of the 70/30 RSI trading strategy, exploring its fundamentals and practical application in forex trading. Understanding the 70/30 RSI Trading Strategy: Developed by renowned technical analyst J. Welles Wilder, the RSI indicator serves as a powerful tool for evaluating market strength and identifying overbought and oversold conditions. With a range from 0 to 100, the RSI provides traders with crucial insights into market dynamics, enabling them to make timely trading decisions. At the heart of the 70/30 RSI strategy lies the establishment of two key threshold levels on the RSI indicator: 70 for overbought conditions and 30 for oversold conditions. These thresholds serve as crucial markers for generating buy or sell signals, offering traders valuable guidance in navigating market trends. ⭐️ Adding and Setting Up the RSI Indicator on Your Chart: The RSI (Relative Strength Index) Indicator is a freely available tool accessible within your TradingView Platform, irrespective of your subscription plan. Whether you're using a Free membership or one of the Premium plans, you can easily find and add this indicator to your charts. Below, I'll guide you through the process of adding and customizing the RSI indicator on your platform with the help of the following images. To begin adding the RSI indicator to your chart:👇 You can also customize the colors to your preference, just like I did by selecting your favorite ones.👇 Now, let's delve into what the RSI indicator is and how to interpret it. Interpreting RSI Signals: In essence, an RSI reading of 30 or lower signals an oversold market, suggesting that the prevailing downtrend may be ripe for reversal, presenting an opportunity to buy. Conversely, a reading of 70 or higher indicates overbought conditions, implying that the ongoing uptrend may be nearing exhaustion, presenting an opportunity to sell. The Relative Strength Index (RSI) Explained: As a momentum indicator, the RSI measures the speed and magnitude of recent price changes, providing traders with insights into whether a security is overvalued or undervalued. Displayed as an oscillator on a scale of zero to 100, the RSI not only identifies overbought and oversold conditions but also highlights potential trend reversals or corrective pullbacks in a security's price. Practical Application of the RSI Strategy: Traders employing the 70/30 RSI strategy must exercise caution, as sudden and sharp price movements can lead to false signals. While RSI readings of 70 or above indicate overbought conditions and readings of 30 or less indicate oversold conditions, traders must consider additional factors and use other technical indicators to validate signals and avoid premature trades. Let's examine a few examples. Example No. 1: EUR/USD Daily Timeframe On the EUR/USD daily timeframe, we observed an overbought condition indicated by the RSI rising above the 70 level. This signaled a potential reversal in price direction. Subsequently, the price indeed reversed, confirming the overbought scenario. It's crucial to emphasize that while scenarios above the 70 RSI level or below the 30 RSI level suggest potential reversals in price, it's essential to complement your analysis with additional filters. These may include consideration of the economic environment, effective risk management strategies, and identification of triggers or patterns before initiating a trade. Below, I'll illustrate a potential trigger that aligns with the RSI 70/30 strategy: the crossover of the RSI line with the RSI-based moving average (MA). Example No. 2: In this example, the RSI strategy proved effective as we observed the price falling below the 30 level, indicating potential oversold conditions and a forthcoming reversal from the market's potential bottom. Additionally, in the image below, you'll notice the introduction of white lines, known as "divergences." I'll provide a clearer explanation of divergences in the next example. Example No. 3: In this example, denoted as circle N.3, we encounter another instance of the RSI reaching the 70 level, indicating an overbought condition. Once again, the strategy proves effective, but this time, we notice a shallower reversal compared to the previous two examples. Following this reversal, the price experiences growth, presenting a new opportunity for traders with a subsequent higher high. However, unlike before, this high does not breach the 70 RSI level, resulting in a deeper reversal. This scenario exemplifies a "divergence." But what exactly is divergence trading? Divergence trading revolves around the concept of higher highs and lower lows. When the price achieves higher highs, you would expect the oscillator (in this case, the RSI) to also record higher highs. Conversely, if the price makes lower lows, you anticipate the oscillator to follow suit, registering lower lows as well. When they fail to synchronize, with the price and the oscillator moving in opposite directions, divergence occurs, hence the term "divergence trading." I'm confident that the previous three examples were well explained to help you understand the 70/30 RSI strategy, along with the MA moving average trigger and the relative divergence strategy. Please share your thoughts in the comment section below. Key Considerations and Limitations: While the 70/30 RSI strategy offers valuable insights into market dynamics, traders must remain mindful of its limitations. True reversal signals can be rare and challenging to identify, necessitating a comprehensive approach that incorporates other technical indicators and aligns with the long-term trend. In Conclusion: The 70/30 RSI trading strategy represents a powerful framework for navigating the complexities of the financial markets. By leveraging the insights provided by the RSI indicator, traders can make well-informed decisions, identify lucrative trading opportunities, and optimize their trading strategies for success in various market conditions.
Editors' picks
Education
by FOREXN1
15
Introduction to Relative Strength or Ratio 1-1This is part one of a series on relative strength ratios. Part One: Relative Strength Ratio (RS) analysis is used to compare one markets performance with that of another. The RS line provides a direct comparison of strength or weakness relative to the another. RS analysis is particularly useful for active institutional managers who are judged relative to a benchmark as opposed to individual investors who are constrained by producing an absolute return. But understanding ratios opens a world of spread or pairs trading and provides valuable insight into the market environment. To be clear, the relative strength ratio has nothing to do with Welles Wilders Relative Strength Index (RSI). RSI is a momentum oscillator designed to evaluate a single security as opposed to a ratio comparing one security to another. Using ratio analysis, bonds can be compared to equities, commodities to bonds, domestic equities to global equities, gold to copper, country to country, currency to currency, industry sector to industry sector, specific companies or sectors to broader indices, country to country and even individual equities. Choices of pairs are extensive. Importantly, once charted, the RS line can be analyzed as any other security. Support and resistance, channels, and momentum indicators can all be applied to the RS line. With literally thousands of securities to be compared the limits of RS analysis is only limited by the imagination of the analyst. The analyst does need to be careful. There needs to be a clear and intuitive economic linkage between the two securities before setting up ratio charts. There can also be issues when two securities, despite having a clear linkage, have a dynamic third variable such as currency translation or large differences in duration such as the LQD/HYG example that we will cover in future parts. Relative Strength is calculated by dividing one security's price by a second security's price (the "base" security). The result of this division is the ratio, or relationship, between the two securities. When the RS line is rising, the numerator (top) security is outperforming the denominator (bottom) security. When the numerator security is falling, the numerator is underperforming the denominator security. If the RS is moving laterally, there is no performance advantage to either the numerator or denominator. When looking at spreads I mostly prefer to use the ratio rather than the net price difference between two markets. Using ratios allows the analyst to make comparisons between markets priced in different units. For instance, Oil and Gold or cotton and the CRB. One exception to this would be when directly comparing one ratio to another ratio. In this case both ratios need to be normalized to a common starting value (I use 100) to adjust for large differences in numerators that could skew the RS line higher or lower relative to the RS line. I find ratios most useful over longer time perspectives for business and economic insight. However, many traders/investors use them in shorter time perspectives as they create spread trades or aggressively switch between sectors. When I was actively trading bond/note futures I used extremes and technical analysis of the RS line on the hourly chart to help manage my curve trades. In this series we will explore the construction of relative strength ratios, their best use, and make technical evaluations of several ratios and what that analysis implies. And finally, many of the topics and techniques discussed in this post are part of the CMT Associations Chartered Market Technician’s curriculum. Good Trading: Stewart Taylor, CMT Chartered Market Technician Taylor Financial Communications Shared content and posted charts are intended to be used for informational and educational purposes only. The CMT Association does not offer, and this information shall not be understood or construed as, financial advice or investment recommendations. The information provided is not a substitute for advice from an investment professional. The CMT Association does not accept liability for any financial loss or damage our audience may incur.
Editors' picks
AMEX:XLPEducation
by CMT_Association
7
The Relative Strength Index Explained [RSI]Hello traders and investors! If you appreciate our charts, give us a quick 💜. Your support matters! The Relative Strength Index (RSI) is a powerful tool used in technical analysis to gauge the momentum and potential overbought or oversold conditions of an asset. Here's a breakdown of how it works: Time Period and Calculation: By default, the RSI measures the price changes of an asset over a set period, which is usually 14 periods. These periods can represent days on daily charts, hours on hourly charts, or any other timeframe you choose. The formula then calculates two averages: the average gain the price has had over those periods and the average loss it has sustained. Momentum Indicator: RSI is categorized as a momentum indicator. It essentially measures how quickly the price or data is changing. When the RSI indicates increasing momentum and the price is rising, it signals active buying in the market. Conversely, if momentum is increasing to the downside, it suggests that selling pressure is intensifying. Momentum Explained: Momentum in trading is like measuring how fast a car is speeding up or slowing down. In the case of RSI, it's all about understanding if a cryptocurrency or stock is picking up speed in its price changes or slowing down. RSI as a Trend Strength Indicator: Think of RSI as a meter that shows you how strong the current trend is in the world of trading. It's like checking the engine power of a car to see how fast it can go. Shifting Frame Analogy: Imagine RSI as a shifting picture frame. This frame covers a certain number of periods, say 14 days, just like a moving window in time. When a day with a significant loss falls out of this frame, and days with substantial gains come into view, it's as if the frame is shifting to reveal a brighter picture. This shift in the frame is reflected in the RSI. If the new days are bringing in more gains than losses, the RSI goes from being low (indicating a weak trend) to high (indicating a strong trend). RSI and Momentum: RSI acts like a swinging pendulum, moving back and forth between 0 and 100. It tells you the current speed of price changes in the market. When RSI is going up, think of it like a rocket taking off – it indicates bullish momentum, meaning prices are likely rising. Conversely, when RSI is going down, it's like a balloon deflating – this suggests bearish momentum, indicating prices are likely falling. Overbought and Oversold Conditions: RSI helps you spot extreme conditions in the market. If RSI goes above 70, it's like a warning sign that the price might have gone up too fast, and the asset could be overbought. It's a bit like when a stock is in high demand, and everyone's rushing to buy it. On the flip side, if RSI drops below 30, it's a signal that the price may have fallen too quickly, and the asset could be oversold. It's a bit like when a stock is out of favor, and everyone's selling it. So, when you see RSI crossing these thresholds, it's like a traffic light for traders. Above 70 is like a red light (be cautious, price may reverse), and below 30 is like a green light (consider buying, price may bounce back). These are handy rules of thumb for making trading decisions! Price Reversals in Overbought/Oversold Territory: When a stock or cryptocurrency's price is in the overbought or oversold territory (RSI above 70 or below 30), it's like a warning sign that a reversal might happen. However, it's important to remember that these levels don't guarantee an immediate reversal. Just because RSI is high doesn't mean you should rush to sell, and vice versa. Prices can remain in these extreme zones for a while before reversing. RSI as a Tool, Not a Sole Decision Maker: RSI is a tool in your trading toolbox, not a crystal ball. It's one piece of the puzzle. It's not accurate to say, "RSI < 30 equals an automatic buy signal, and RSI > 70 equals an automatic sell signal." Trading involves more factors and judgment than that. Consider Multiple Timeframes: Looking at different timeframes is like zooming in and out on a map. It provides a more complete picture of what's happening. For example, if the daily RSI is showing overbought conditions, but the weekly RSI is still in a healthy range, it suggests a different perspective. The longer-term trend may still be intact. Oscillating Indicator: RSI oscillates between 0 and 100, providing traders with a visual representation of an asset's strength or weakness. The scale helps identify potential overbought or oversold market conditions. An RSI score of 30 or lower suggests that the asset is likely nearing its bottom and is considered oversold. Conversely, an RSI measurement above 70 indicates that the asset price is likely nearing its peak and is considered overbought for that period. Customization: While the default setting for RSI is 14 periods, traders can adjust this parameter to suit their trading strategies. Shortening the period, such as using a 7-day RSI, makes the indicator more sensitive to recent price movements. In contrast, using a longer period like 21 days reduces sensitivity. Additionally, some traders adapt the overbought and oversold levels, using 20 and 80 instead of the default 30 and 70, to fine-tune the indicator for specific trading setups and reduce false signals. Divergences: Divergences occur when the price of an asset and its RSI are moving in opposite directions. It's like having two friends walking together but going in different directions. Regular Divergences: Imagine this like a traffic signal turning red when everyone's used to it being green. Regular divergences signal a potential trend reversal. For example, if the price is going up (bullish), but RSI is going down (bearish), it could indicate that the bullish trend is losing steam, and a reversal might be on the horizon. Hidden Divergences: Hidden divergences are like a green light at a junction where everyone expects red. They signal a potential trend continuation. For instance, if the price is going down (bearish), but RSI is going up (bullish), it could mean that the bearish trend might continue but with less intensity. Learn more about divergence: Practical Use and Timeframes: Divergences are like big road signs on a highway. They're often easier to spot on higher timeframes, such as daily or weekly charts, where the broader trend becomes more apparent. When you see a divergence, it's like getting a heads-up that something interesting might happen in the market, but it's important to combine this signal with other analysis and indicators to make informed trading decisions.
CRYPTO:BTCUSDEducation
by Vestinda
Cost-Benefit Analysis of Looking outside the Scope of TrendA Cost-Benefit Analysis of Looking outside the Scope of Trend: To Peek or Not to Peek “The trend is your friend until the end when it bends.” - Ed Seykota Trend analysis lies at the core of technical analysis. Modern technical analysis derived from Dow Theory. In turn, Dow Theory emphasized the nature and importance of trends and their constituent parts and degrees. Many may recall Dow’s analogy of different trend degrees: the tide (primary trend), waves (secondary trend), and ripples on the waves (minor / short-term trend). Technical analysis includes many other concepts within its scope. But within technical analysis broadly, the primary focus remains the trend structure. Before considering trends, it may help to discuss the distinction broadly between technical analysis and fundamental analysis. A. Technical Analysis versus Fundamental Analysis Top traders and market experts have taken each side in the debate over whether technical or fundamental analysis has the greatest efficacy. Some have straddled the line, preferring a combination of the two. Some consider technical analysis to be not only superior but also relatively straightforward and efficient compared to other types of analysis, such as fundamental analysis or positioning analysis.FN1 Positioning analysis is beyond the scope of this post and is briefly explained in the first footnote. Jim Rogers, a famous investor who managed a reportedly very successful fund with George Soros in the 1970s, and who had had many accurate forecasts, expressed strong disdain for technical analysis—he once told Jack Schwager, “I haven’t met a rich technician.” But some of the greatest traders and market experts stand on the other side of this debate. For example, Ed Seykota is a trader of great renown included in Schwager’s 1993 Market Wizards: Interviews with Top Traders. Seykota chose the technical-analysis camp, giving the most weight to trends, chart patterns and good entries and exits. He once described markets in a way that evokes Charles Dow’s wave analogy: If you want to know everything about the market, go to the beach. Push and pull your hands with the waves. Some are bigger waves, some are smaller. But if you try to push the wave out when its coming in, it’ll never happen. The market is always right. A former portfolio manager for Fidelity Management who founded several other research and investment firms, David Lundgren, described how he came to follow the principles of technical analysis even though he still expressed great value for fundamental analysis. From an interview included in a 2021 Technical Analysis of Stocks and Commodities magazine, Lundgren shared some of his experiences and insights on this topic. In his view, fundamentals can matter significantly over the long term especially as to stocks. But Lundgren’s most outstanding remarks in this interview distinguished between these two conceptual approaches to financial markets. He aptly characterized fundamental analysis as being based on the view that the “market is wrong.” In other words, the valuations drawn from a publicly traded company’s financial statements (e.g., P/E ratio, enterprise value, book value) assume the market is “overestimating or underestimating value” and that the price should be above / below the current market price. By contrast, he said technical analysis assumes the contrary view that the market is actually right in its current price and price trend. The critical distinction between technical analysis and fundamental analysis boils down to ego, according to Lundgren, because pure technical analysis “accepts the verdict of the market” whereas pure fundamental analysis “involves hundreds of hours developing an opinion of what is attractive and often with the verdict of the market.” Much ink has and will be spilled on whether price discounts everything, and if so, how fast and efficiently (Charles Dow Theory). In any case, fundamental, technical and positioning modes of analysis are not mutually exclusive. B. Whether to Consider Data outside the Confines of Trend Since last year’s October 2022 lows in the S&P 500 (SPX) and other major US indices, the current equity market uptrend has been challenging and bewildering to many investors, traders and analysts. It has been especially difficult to comprehend for those who are keenly aware of the broader financial and macroeconomic environment, which includes purportedly tight monetary policy and quantitative tightening (reducing Treasury securities off the Fed’s balance sheet) as well as stubborn core inflation. Such an environment broadly speaking remains unfavorable to equities for the most part.FN2 But trends do not always move in the most sensible direction, and they do not always align consistently with the macroeconomic evidence. Sentiment or even positioning, discussed briefly in the first footnote, can affect the trend even when it may run counter to the macroeconomic evidence. And trends can stretch into an overbought or oversold condition longer than anyone expects, a principle captured by the old aphorism, attributed to John Maynard Keynes, that “markets can remain irrational longer than you can remain solvent.” Exhaustion doesn’t require a 180-degree turn but often appears more like a process, especially at market tops given the long-only nature of most equity capital. Pure trend followers, who supposedly consider only the technical trend-based evidence, may not care whether the trend makes sense. Indeed, they place their stops and align their trades / investments in accordance with one of many trend-based strategies. And this narrowed focus may be very helpful and exceedingly profitable at times. A recent example is the Nasdaq 100 (QQQ), or even some large or mega-cap tech names like AAPL, MSFT, META, and NVDA. These indices and securities could have rewarded narrowly focused trend-followers quite well on daily and weekly time frames over the past eight months, especially if discipline was used to enter positions at major uptrend supports with stops moved to breakeven or higher along the way. Such trend traders and investors may be busily counting their profits rather than being distracted with inverted yield curves and FOMC policy statements. The question becomes whether one may look outside the trend (or technical analysis generally). This issue likely generates pages of academic argument and hours of financial media debates between experts. And it may be something for all traders to ponder for a bit. Given how much of an influence positioning has developed on equity markets over time, as well as central-bank quantitative tightening or quantitative easing, it seems important to consider data from such sources. Such data may also include trend information that affects trends in everything else. For example, trends in the price of commodities may tell us about inflation and likelihood of tighter monetary policy / interest rate hikes by a central bank. And trends in the money supply may strengthen or weaken the case for a current trend in equities. C. Cost-Benefit Analysis of Looking beyond the Trend In this author’s view, it is not necessarily foolish or improper to sneak a peek or a long thoughtful gaze, outside a rigid trend-based framework. As with everything in life and trading, costs and benefits must be weighed. The biggest drawback to going outside the confines of trend is the tendency of many traders to try to consider far too much. Our brains are only capable of processing so much at a given time. Focusing on too much data can cause dilute confidence, weaken resolve, and obfuscate trends. In addition, by the time a trader considers a macroeconomic data point, computerized systems likely have informed all the largest institutional players, or even algorithmic or high-frequency traders, who acted on it before you even had a chance to review its implications. And the market’s reaction to non-technical data points is not always intuitive. But if one can manage understanding additional data outside the trend/price framework, one might find benefit in learning and following data on yield curves, bond-market dynamics, Fed Funds rates, macroeconomic data, inflationary measures, and volatility gauges can inform one’s outlook in useful ways. The key here is to avoid repeatedly (and blindly) fighting the trend in price—even if one fights that trend with some of the most rational, reasonable and persuasive arguments based on overwhelming macroeconomic, volatility, sentiment, positioning, or other such evidence as to why price should be going the opposite way. In short, this is the important general rule for trend-based systems—make the trend your friend until the end when it bends.FN3 D. Practical Application and Hypotheticals Just because one should make friends with the trend does not warrant chasing extended trends (see FN3), unless the trader or investor has developed particular expertise in momentum trading, and even then, caution is greatly warranted. Every trend has its proper entries for the time frame involved. Uptrends necessarily require countertrend retracements to support whether defined as an anchored VWAP, key moving average, Fibonacci retracement, upward trendline, or standard-deviation based measures such as linear regression or Bollinger Bands. Technically, this is not peeking outside the trend, but rather it merely considers evidence of trend exhaustion and the likelihood of mean reversion. Further, a trend-based framework should in fact include considering higher time frame trends such as a monthly chart where each price bar represents one month of price data. One of this author’s collaborators, @SPY_Master, has performed some excellent trend-based analysis on timeframes as high as monthly, quarterly (even yearly bars at times). It is quite common, moreover, for higher-degree trends to move in the opposite direction as lower-degree trends, such as during a monthly or quarterly uptrend experiencing a corrective retracement to trend support that lasts for days or weeks. Or the hourly trend can move against the daily / weekly trend, frequently does so whenever a countertrend retracement to trend support occurs. Can one technically “fight the trend” merely by preferring a higher degree time-frame trend when it conflicts with a shorter one? The answer depends on one’s time frame, risk tolerance, position size, and rationale. In addition, trends involving a particular stock, index, or other security can be evaluated based on their relative strength, i.e., as a ratio of the subject stock, index or security to another stock, index, security or data series. The S&P 500 can be compared to the Nasdaq 100 or 10-year Treasures. Or BITSTAMP:ETHUSD can be charted as a ratio to another cryptocurrency. This author would argue that such metrics can provide useful trend-based insights even though they incorporate data that is technically beyond the scope of trend. Below are a couple such relative-strength charts that arguably fall within trend-analysis despite relying on data that would normally be considered outside of a price trend's scope: Example 1 shows this author's relative strength chart of NASDAQ:AAPL to OANDA:XAUUSD (Gold). This is a very long-term chart showing the outperformance trend in AAPL over two decades to the precious medal and commodity Gold. Example 2 shows @SPY_Master's relative-strength chart of NASDAQ:NVDA , the AI-tech stock into which everyone's distant relatives are now inquiring after its meteoric rise from 2022 bear-market depths. The chart is a relative-strength chart of the ratio of NVDA to the 10-Year Treasury note, which aptly shows how overvalued NVDA is relative to a risk-free asset. It appears far too extended above the risk-free asset in terms of standard deviation on a linear regression-based model shown here. (Note that yields and bonds move inversely, so where an asset outperforms a risk-free bond, it means that the asset is extended given the level of yields produced by that bond.) Credit: SPY_Master (used with permission) To conclude, consider the following hypothetical scenarios as a thought experiment. Assume a stock has a monthly or quarterly chart that is extended multiple deviations above the mean (or multiple deviations as a ratio of its price to the money supply). NVDA presents a good case study for these concepts. Scenario A: A person entered the position at $290 and took profits on this stock at $405, preferring to exercise caution and avoid this stock as a long-term investment. Scenario B: A hedge fund with a 150-page report of deep research on NVDA and the macroeconomic backdrop has a 10-year time horizon and begins scaling into a short position to anticipate a mean reversion at the higher degrees of trend (monthly, quarterly time frames). The hedge fund will add one quarter at $450, another quarter position at $500, and the final two quarters between $500 and $600 if reached. Should either scenario be deemed fighting the trend? Is either scenario ill-advised use of capital? Any answers are welcome in the comments provided respectful towards others. FN1 This footnote helps explain some basics of fundamental and positioning analysis. Beyond this brief explanation, this article will defer to other educational experts for a more thorough explanation of these three modes of financial analysis. Fundamental analysis for equity indices like SP:SPX or NASDAQ:NDX considers macroeconomic data and metrics that focus on an economy’s growth (e.g., GDP), price-stability / inflation (CPI, PCE, PPI), consumption, real estate, money supply, central-bank rate policies, central-bank QE or QT, trade deficits, and more. Fundamental analysis as to individual stocks involves the use of financial data such as revenue, earnings per share, cost of goods sold, capital expenditures, and other data available from a public company’s certified financial statements, as well as financial ratios relying on such data, e.g., earnings per share (EPS), price-to-earnings (P/E) ratios, price-to-sales ratios (P/S) and liquidity ratios (current ratio). In the US and other major economies, securities rules mandate that companies file full disclosure of their financial health, certified by CEOs and CFOs, in annual reports (10-K and quarterly reports (10-Q) on an ongoing basis. Positioning analysis looks at a complex array of data that covers institutional market positioning and order flows for stocks, options, indices, commodities and futures. It also looks at increasingly important dealer hedging flows (volume and open interest) in options markets and the effect of implied volatility and time on such flows. It can include such insights as net positioning on each side of a given futures market or index by hedgers and speculators. This is an area where expert commentary is helpful to learn even the basics. FN2 Yet the central-bank and US Treasury actions behind the scenes may have masked, or even partially or wholly offset, tight Fed interest rate and monetary policy at times during the first half of 2023. For example, many financial publications and analysts discussed the US Treasury’s accounting maneuvers intended to prolong its borrowing authority in light of the debt-ceiling standoff. Commentary also noted that such maneuvering, draining the TGA account (the US Treasury’s “checking account” held at the Federal Reserve), injected money / liquidity into the financial system, which likely muted Fed’s efforts to tighten policy in the short-term while those actions were ongoing. FN3 But as is often the case with a general rule, the exceptions can dilute the rule somewhat. One prominent exception is mean-reversion analysis / trading systems. In addition, some traders and institutions are trend-reversal traders—a high risk, high reward type approach that requires immaculate risk management, timing, precision and patience, often scaling into and out of massive positions that cannot be acquired or unloaded in a period of days.
BITSTAMP:BTCUSDEducation
by SquishTrade
7
Unlocking the Power of Volume: Combining Volume with TAIn our previous blog posts, we explored the importance of volume analysis in understanding indicators that can be used for volume analysis. Today, we'll delve deeper into how combining volume analysis with technical analysis can provide valuable insights for traders and investors alike. We will do so by laying out a strategy that anyone can use that will utilize volume. The Significance of Volume in Technical Analysis We have previously discussed how volume plays a crucial role in technical analysis. It is essential to examine volume patterns alongside price action, as it helps traders determine liquidity and identify potential trading opportunities. When combined with technical indicators, volume offers a more comprehensive view of market activity and can enhance decision-making in trading. Indicators to Combine with Volume Analysis Here are some popular technical indicators that traders can use in conjunction with volume analysis: 1. Moving Averages Moving averages (MAs) are one of the most widely used technical indicators, as they help traders identify trends and potential support and resistance levels. The two most commonly used moving averages are simple moving averages (SMA) and exponential moving averages (EMA). We'll use a short-term EMA (e.g., 9-day EMA) and a long-term EMA (e.g., 21-day EMA) for a strategy later in this post. 2. Relative Strength Index (RSI) The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100, with readings below 30 indicating oversold conditions and readings above 70 indicating overbought conditions. The RSI can help traders identify potential trend reversals and entry/exit points. The Strategy That Incorporates Volume 1. Identify Trend Direction First, apply the 9-day EMA(shown in white) and the 21-day EMA(shown in purple) to your price chart. The trend direction is determined by the relationship between the two moving averages: Uptrend: The 9-day EMA is above the 21-day EMA Downtrend: The 9-day EMA is below the 21-day EMA Sideways: The moving averages are intertwined, with no clear direction 2. Confirm Trend Strength with RSI Apply the RSI to your chart, and use the 30 and 70 levels as reference points: For uptrends, look for the RSI to stay above 30 and preferably above 50. For downtrends, look for the RSI to stay below 70 and preferably below 50. 3. Analyze Trading Volume Compare the volume levels during the trend to the average volume over a specific period of your choosing using your desired volume indicator (see previous post on volume indicators). If the volume is above average during the trend or is rising, it confirms its strength. Conversely, a decreasing volume may signal a weakening trend or a potential reversal. 4. Entry and Exit Points Long Entry: In an uptrend, look for the RSI to pull back below 50, and then cross back above it. Confirm the entry with increasing trading volume. This indicates a potential buying opportunity. Short Entry: In a downtrend, look for the RSI to pull back above 50 and then cross back below it. Confirm the entry with increasing trading volume. This indicates a potential selling opportunity. Exit Points: Use the moving averages as trailing stop-loss levels. For long positions, exit when the 9-day EMA crosses below the 21-day EMA. For short positions, exit when the 9-day EMA crosses above the 21-day EMA. Practical Tips for Combining Volume with Technical Analysis Here are some practical tips for effectively integrating volume analysis with technical indicators: 1. Use Multiple Timeframes Analyze volume patterns and technical indicators across different timeframes to identify potential trends and reversals more accurately. We always recommend a top-down time frame approach, starting at higher time frames and working down to your desired time frame for entries. 2. Look for Volume Confirmation When a technical indicator signals a potential trading opportunity, confirm it with volume analysis to ensure the move is supported by strong market activity. 3. Monitor Divergences Divergences between volume and price action can signal potential trend reversals or continuations. Keep an eye on these discrepancies to make informed trading decisions. Conclusion: Combining volume analysis with technical indicators can help traders and investors make more informed decisions about market trends and potential trading opportunities. By understanding the relationship between volume and price action and incorporating this knowledge with technical analysis, traders can unlock powerful insights and enhance their overall trading strategy.
Education
by LeafAlgo
📊 Best Beginner Technical IndicatorsTechnical indicators are mathematical calculations based on an asset's price and/or volume that are used to analyze market trends and identify potential trading opportunities. 📍Trend indicators: These indicators are used to identify the direction of the market's trend over a given time period. Some popular trend indicators include moving averages, trendlines, and the Average Directional Index (ADX). 📍Relative strength indicators: These indicators compare the strength of a security's price action to the strength of a market index or another security. They are often used to identify potential buying or selling opportunities based on whether a security is overbought or oversold. Examples of relative strength indicators include the Relative Strength Index (RSI) and the Stochastic oscillator. 📍Momentum indicators: These indicators measure the rate of change in a security's price over a given time period. They can be used to identify potential trend reversals or confirm the strength of a current trend. Examples of momentum indicators include the Moving Average Convergence Divergence (MACD) and the Rate of Change (ROC). 📍Volume indicators: These indicators measure the trading volume of a security over a given time period. They can be used to confirm the strength of a trend or identify potential trend reversals. Examples of volume indicators include the Chaikin Oscillator and On-Balance Volume (OBV). 👤 @AlgoBuddy 📅 Daily Ideas about market update, psychology & indicators ❤️ If you appreciate our work, please like, comment and follow ❤️
Education
by QuantVue
6
What if RSI and EMA produce similar results?█ What if RSI and EMA produce similar results? In the world of trading , technical indicators play a crucial role in making informed decisions. One such indicator is the Relative Strength Index (RSI), and another is the Exponential Moving Average (EMA). Both of these indicators have been widely used by traders to analyze market trends and make predictions about future price movements. However, it has long been a topic of debate among traders as to which of these two indicators is better. █ What if RSI and EMA produce similar results? We wanted to determine the relationship* between the RSI and the EMA, specifically examining the hypothesis that when the RSI crosses above the value of 50, it returns similar results as when the price crosses above a certain length of an EMA. Similarly, when the RSI crosses below the value of 50, it returns similar results as when the price crosses below a certain length of an EMA. Our goal was to determine whether the RSI and EMA were related* in any way. █ Our Simulations We designed a series of simulations to compare the accuracy of the RSI and EMA in predicting market trends. The simulations were designed to test the assumption that the RSI and EMA were equal* in terms of accuracy in predicting price movements. █ Our definition of "predict price movements." If RSI crosses above the value of 50, there is a higher likelihood of a bullish move. If RSI crosses below the value of 50, there is a higher likelihood of a bearish move. █ Our assumption for this study When the RSI crosses above the value 50, it is equal* to when the price crosses above a certain EMA length, and when the RSI crosses below the value 50, it is equal* to when the price crosses below a certain EMA length. This assumption had never been tested until our team decided to put it to the test. █ Results To our surprise, we found a strong relationship* between the RSI and the EMA. We discovered that when the RSI crosses above the value of 50, it returns similar* results as when the price crosses above a certain length of an EMA. Conversely, when the RSI crosses below the value of 50, it returns similar* results as when the price crosses below a certain length of an EMA. The assumption was accurate and that the correlation* between the RSI and EMA was 1, indicating that the results of both indicators were highly consistent. This means that there is an EMA length that performs exactly* the same as the RSI in terms of predicting market trends. Validity Checks We stored crossover values for both RSI and EMA in 2 different arrays, and by running the following tests, we could conclude our findings. Correlation Check The correlation between RSI and EMA provides insights into the relationship between the two arrays. Array Size Checks The "diff" tells us how different the sizes of the two arrays are. If the size of both arrays is the same, "diff" would be 0, indicating that the two arrays have the same number of elements. Percentage Check The percentage difference between RSI and EMA is a measure of the similarity between the two arrays. A percentage difference of 0 indicates that the two arrays are the same size, while a higher percentage difference indicates that the two arrays are different in size. Ratio Check The ratio represents the relationship between the two arrays, in terms of the sum of their elements. If the ratio is equal to 1, it means that the sum of the elements in the two arrays is the same. The higher the ratio, the more the elements in RSIa are relative to the elements in EMA. The lower the ratio, the less the elements in RSI are relative to the elements in EMA. █ What is the exact relationship between the two indicators? After further testing and analysis, we discovered that the length of the EMA that returns results similar* to the RSI is given by the formula: "2* RSI Period - 1". This formula provides traders with a clear, scientific method for determining the length of an EMA that will return results similar* to the RSI. █ What does it mean for Traders? The study has provided valuable insights into the accuracy of RSI and EMA. It has shown that both indicators are approximately equal in terms of accuracy and that traders can use either one without having to sacrifice accuracy. This means that traders can choose RSI or EMA, depending on their personal preferences and trading style. █ Conclusion Our study has shown that when the RSI crosses above the value of 50, it returns similar* results as when the price crosses above a certain length of an EMA. Similarly, when the RSI crosses below the value of 50, it returns similar* results as when the price crosses below a certain length of an EMA. Furthermore, we have discovered the exact* relationship between the RSI and EMA, given by the formula "2 * RSI Period - 1". These findings provide valuable insights for traders and demonstrate the potential for data-driven approaches in trading. We showed that the RSI and EMA were highly correlated*, indicating that the results of both indicators were highly consistent*. This knowledge can save traders time and effort, as they can use one indicator to validate the results of the other. ----------------- Disclaimer *Our results are approximate. We encourage you to test the assumption yourself. We do not guarantee that you will get the same results. This is an educational study for entertainment purposes only. The findings/results may or may not be true. The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
OANDA:DE30EUREducation
by Zeiierman
20
Educational (divergence + volume)Hi guys, in order to spot a divergence you should be careful which timeframe you're looking at. for example in the left picture, the daily timeframe is showing higher highs in price (at each candle) and lower highs in RSI (at each candle). but note that these are not highs and lows and as long as you can't find signs of accumulation and distribution in highs and lows (as long as there's no valid consolidation) you can't name them as highs and lows. so there's no divergence. but in the lower time frame (what is shown is 4h) you can see it more clearer that for every candle in the daily time frame, you have a specific trend in the 4H timeframe. so you can name them as highs and lows and yes, there is a divergence now. also, keep in mind that in the lower timeframe. every time you're making a new high in rsi, you should expect it to be more volatile and be more sensitive in a way that in the next new rsi high, you have less time spent in the overbought area. The next part is about the volume profile. you have less resistance in front of the price movement where there is less volume traded in the past. BUT NOT ALWAYS! less trades made in the past in an area means two things: 1- you can expect the price to move faster and sharper and take less time in that area 2- if the price wants to make a low or high or a pattern, it's less predictable and there's more chance of wrong analysis and fake patterns. Feel free to leave any comments and ask questions!
Education
by Finnovin
Cant wait for price to stop ranging? Do thisFirst of all you are going to need this indicator Its the Heiken Ashi Algo Oscillator. Click the image below There are times when price is ranging. When this happens you simply need to see what is the channel where the RSI values are hitting and you want to know WHEN is the RSI breaking out of that channel In this oscillator the HIGH and LOW part of the RSI Range is the +10 and -10 If price is ranging in between as it is consolidating you dont want to sit there for several hours. So in this video you can see how to set an alert telling you when the RSI breaks out of the RANGE. This way, once the alert is set, you can go live life......... See you next time at the CoffeeShop
Education
by CoffeeshopCrypto
2
Relative Strength IndexThe Relative Strength Index is one of the most widely used tools in traders handset. The RSI is an oscillating indicator which shows when an asset might be overbought or oversold by comparing the magnitude of the assets recent gains to its recent losses. A common misconception is that the RSI draws a comparison between one security and another, but what it actually does is to measure the assets strength relative to its own price history, not that of the market. The Relative Strength Index is useful for generating signals to time entry and exit points by determining when a trend might be coming to an end or a new trend may be forming. It weighs the prices upward versus downward momentum over a certain period of time, most often 14 periods, thus showing if the asset has moved unsustainably high or low. The RSI is visualized with a single line and is bound in a range between 1 and 100, with the level of 50 being considered as a key point distinguishing an uptrend from a downtrend. You can see how the RSI is plotted on a chart on the following screenshot. J. Welles Wilder, the inventor of the Relative Strength Index, has determined also two other fundamental points of interest. He considered that an RSI above 70 indicates that the asset is overbought, while an RSI below 30 suggests an oversold situation. These levels however are not strictly set and can be manually switched, according to each traders unique trading system. Trading platforms allow you to choose any other value as overbought/oversold boundary apart from the conventional levels. How is RSI calculated? The formula is as follows: RSI = 100 – Where the RS (Relative Strength) is the division between the upward movement and the downward movement, which means that: RS = UPS / DOWNS UPS = (Sum of gains over N periods) / N DOWNS = (Sum of losses over N periods) / N As for the period used for tracking back data, Wilders original calculations included a 14-day period, which continues to be used most often even today. It however can also be a subject to change, according to each traders unique preferences. After the estimation of the first period (in our case the default 14 days), further calculations must be made in order to determine the RSI after a new closing price has occurred. This includes one of two possible averaging methods – Wilders initial and still most commonly used exponential averaging method, or a simple averaging method. We will stick to the most popular approach and use exponential smoothing. The UPS and DOWNS for a 14-day period will then look like this: UPSday n = / 14 DOWNSday n = / 14 What does the RSI tell us? here are several signals that the Relative Strength Indexs movement generates. As we said earlier, this indicator is used to determine what kind of trend we have and when it might come to an end. If the RSI moves above 50, it indicates that more market players are buying the asset than selling, thus pushing the price up. When movement crosses below 50, it suggests the opposite – more traders are selling rather than buying and the price decreases. You can see an example of an uptrend below where the RSI remains above 50 for almost the duration of the move. However, do keep in mind to use the RSI as a trend-confirmation tool, rather than just determining the trend direction all by itself. If your analysis is showing that a new trend is forming, you should check the RSI to receive additional confidence in the current market movement – if RSI is rising above 50, then you have a confirmation at hand. Logically, a downtrend has the opposite properties. Overbought and oversold levels Although trend confirmation is an important feature, the most closely watched moment is when the RSI reaches the overbought and oversold levels. They show whether a price movement has been overdone or it is sustainable, thus, indicating if a price reversal is likely or if the market should at least turn sideways and see some correction. The overbought condition suggests a high probability that there are insufficient buyers on the market to push the asset further up, thus leading to a stall in price movement. The reverse, oversold, level indicates that there are not enough sellers left on the market to further push prices lower. This means that when the RSI hits the overbought area (in our case 70 and above), it is very likely that price movement will decelerate and, maybe, reverse downward. Such a situation is pictured on the screenshot below. You can see two rebounds from the overbought level with the first move being extraordinary strong and bound to end with a price reversal, or a correction at least. . Having noted that prices tend to rebound from overbought/oversold levels, we can therefore reach the conclusion that they tend to act as support/resistance zones. This means that we can use those levels to generate entry and exit points for our trading session. As soon as the price hits one of the two extremes, we can use the Relative Strength Index to confirm a probable price reversal and enter an opposite position, hoping that prices will reverse in our favor. We can then set the opposite extreme level as a profit target.
Editors' picks
Education
by FOREXN1
27
The RSI Formula Explained. Catch the move from end to end. Welcome to the copy shop everybody and let me bid you a hello from the back of the baristo bar. This video is very casual, unscripted, and yet extremely informative. First off let me make sure you have your copy of this script "The Heiken Ashi Algo Oscillator" I'm hoping to use this particular video so that you guys can come back into the comments area and specifically ask questions about how this works because I want to give you this information. But most importantly I want you to understand it. In today's video I'm going to be discussing the "RSI formula". So today's video is called the RSI formula, explained. I've noticed over the years that every time they RSI has a particular reading, You can calculate that into a ratio that will tell you what should be your risk and what should be your reward. This allows you to set your stop loss and your take profit and literally walk away and not have to worry about it. I do not expect you to understand this formula watching it just one time so you will need to play this over and over again without question. But if in the moment that you do have questions go ahead and leave them below. What I want you to do is if you feel like you're getting it wrong, tell me what the RSI reading is that you got and I'll tell you what it's supposed to convert to and I'll tell you how to convert it to that number. Telling you the formula won't help you as much as it will showing you how it works against your readings so by all means leave your questions below.
Education
by CoffeeshopCrypto
7
RSI Overbought & Oversold Strategy What Is the Relative Strength Index (RSI)? 1. The relative strength index (RSI) is a popular momentum oscillator introduced in 1978. 2. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. 3. An asset is usually considered overbought when the RSI is above 70 and oversold when it is below 30. 4. The RSI line crossing below the overbought line or above the oversold line is often seen by traders as a signal to buy or sell. 5. The RSI works best in trading ranges rather than trending markets.
BINANCE:ETHUSD.PEducation
by yaser_rahmati
How to use relative strength/weakness in Forex — GBPUSD exampleIchimoku makes identifying trends very easy, but it can be difficult to know when to enter a trend. This factor is often overlooked by newer traders, and it makes a significant difference to risk-adjusted returns. One of my favourite ways to identify when to enter a trend is to use the concept of relative strength or weakness. Put simply, relative strength or weakness is when you compare a security to an "index" and try to understand whether: The index is moving up, and your chosen security is moving up even faster = Relative Strength The index is moving down or ranging, and your chosen security is holding ground or moving slightly higher = Relative Strength The index is moving down, and your chosen security is moving down even faster = Relative Weakness The index is moving up or ranging, and your chosen security is holding ground or moving slightly lower = Relative Weakness This concept is incredibly important to understand. It can turn a B+ setup into an A+ setup. The question is then, how do you find relative strength? The really easy, beginner-friendly, way is to plot the "Rate of Change" (ROC). This is an included indicator in TradingView and simply tells you how quickly something is moving up or down. What you can do with ROC is to plot it against the symbol you're trading, and then plot it again against an index. An example of an index could be $DXY for the USD. This index would work for pairs like USDJPY, USDEUR, USDGBP, etc. Any pair where USD is the base. I found a perfect example of relative weakness on GBPUSD. I plotted the ROC for GBPUSD (green) and the ROC for all GBP pairs (red). Ichimoku already told me that GBPUSD was bearish and I was looking for an opportunity to go short. Notice, that when GBPUSD becomes weaker than all GBP pairs, there is almost no bullish pressure. If you short when there is relative weakness, your trade would have almost zero drawdown, and you would be in profit almost instantly. Yes, you could short anywhere on this chart and make money if you didn't have a stoploss, but this is not how to trade like a professional. If you tried to short this morning when there was no relative weakness, you would have to suffer through +37 pips of drawdown before it started moving down again. Could you take that? Could your risk manager take that if you were trading someone else's money? I encourage all traders to explore Relative Strength/Weakness. It is one of the most powerful concepts in trading, and as long as you have your "index" right, you can use this anywhere. Stocks, Forex, Crypto, Commoddities, etc.
Education
by ichimokucorner
4
IWM: The most interesting chart in the world: As of Friday (Jan 21) IWM has fallen out of a long range of distribution, produced both daily and weekly closes outside the trading range, and importantly has the potential to produce a large move. In this piece we discuss the trading range, mostly from a Wyckoff perspective, show multiple ways to start thinking about how far the move might progress, and finally take a look at IWM in terms of its strength relative to the higher quality SPX. Again, there is not a trading recommendation attached to these observations. The CMT course offers an excellent way to learn more about the concepts discussed below. 1) The most important chart feature is the trading range. Long trading ranges represent zones where supply and demand move into balance. a. Ranges are zones where strong hands / smart money accumulate new shares if they are bullish, or distribute existing shares if they are bearish. b. In early November price attempted to break out of the top of the range, but failed. In Wyckoff terms this is known as a terminal upthrust. The failure is bearish and confirmed the view that the range represented distribution. c. The upthrust was followed by a high volume decline back to the lower bound. The volume expansion and solid thrust strongly suggested that price was likely to break out of the trading range. d. There was some buying as the market tested the bottom of the range for the last time (note the very low volume bounce). My interpretation is that traders who had repeatedly bought the trading range lows, tried to buy again. They failed to recognize the significance of the upthrust and of the development of high volume in the days just prior. Now they are trapped. 2) On Friday, price fell through the range lows, trapping longs and accelerating lower on high volume. 3) Was the volume high enough to exhaust the immediately available supply? I would think not. Modern selling climaxes often take multiple days to unfold, and are not likely to occur this soon after falling out of a long zone of distribution. Remember, the long range attracted many weak handed buyers who are now being forced to liquidate. Targets: 1) There are several ways to think about move objectives. The simplest is to run a Fibonacci retracement of the March 2020 low to the November 2021 high. I keep it simple. I look at .382, .500 and .618. 2) Note that the 50% retracement of the entire move is very close to the January 2020 high pivot. The two form a support confluence in the 169 zone. Given the amount of distribution that occurred in the trading range, I think its more likely that the .618% retracement @ 152 is the most likely one. 3) When a correction develops you will be able to use the TradingView trend based Fib extension tool to project additional targets. Its likely that those targets, combined with the retracement tool and more traditional chart analysis will provide support confluences to work with. Point and Figure charts also provide insight. They don't get nearly the respect of Fib points, but they deserve it. I tend to use the Fibo points as my references, but sometimes, a solid PF range count can add insight. Wyckoff and others taught that the length of time spent in the consolidation is related directly to the distance of the subsequent move. Trading ranges are areas of the chart where large amounts of shares change hands, often from strong hands to weak hands. This is why there is a relationship between the length of the range and the size of the move. 1. Granted, there is no end to the debate as to what points should be used to define the counts. Since I'm a simple guy, I keep it simple. 2. In this case the width of the range is notable. A conservative target falls in the 145 area while a more aggressive accounting measures as deep as 121. So I have targets, what do I do now? 1. I think its enough to know that the targets are all much lower. As the trade progresses the chart will produce more support and resistance zones, target and objectives that will help to narrow the range of outcomes. 2. The final point is that, particularly in the case of point and figure charts, objectives are more guides than they are precise points. When available P&F counts are extremely useful in determining risk/reward in a trade. In the shorter run, the market broke out of its trading range on Friday with a solid daily/weekly thrust lower. But now, in the shortest perspectives it is deeply oversold. If the market does rally, the character of the rally is likely be corrective. I like to look for bear flags or pennants or a rally back to the underside of the broken trading range before the market rolls over again. Final Point: I was always taught to buy the strongest names/groups in uptrends and to sell the weakest names/groups in downtrends. IWM has clearly been weaker than SPX for a number of months. The top panel is IWM, the middle panel is the SPX and the bottom panel is the ratio between the two. If the market is setting up a major correction IWM probably will be far weaker than SPX. Good Trading: Stewart Taylor, CMT Chartered Market Technician Shared content and posted charts are intended to be used for informational and educational purposes only. The CMT Association does not offer, and this information shall not be understood or construed as, financial advice or investment recommendations. The information provided is not a substitute for advice from an investment professional. The CMT Association does not accept liability for any financial loss or damage our audience may incur.
Editors' picks
AMEX:IWMEducation
by CMT_Association
52
Dollar rally: A tutorial on relative strength analysisHi traders. I'd like to share a few tips, that many traders ignore (I'd dare to say most). If we compare the different dollar pair's performance over different time periods, we can glean important information, as to what cross pairs to trade, and reap some nice uncorrelated to oil, DXY and stocks returns. This is one of the advantages of including Forex in your trading portfolio and strategies. In this chart, we take a look at a 5 week line chart of all dollar pairs. We can see that some started the week up, and went down, and only one closed up for the week (GBP). Out of all the pairs that fell, the ones that fell the most are the most interesting ones to short. We can look to short them against the dollar, to ride the main fundamental trend, kicked off by the Fed today - or we can look to trade cross pairs, taking advantage of the Pound's fundamental edge over the rest, as evidenced by the relative strength chart. The idea is simple, go to the GBP cross pair charts, and find the most optimal technical setups to build your long GBP portfolio. I'll leave that part to you, feel free to post your setups in the comments section, and I hope you find this technique useful. There's more to this process, but I'll leave the extra bits of information to my trading students. This is already a great start to improve your Forex analysis and trading results, and stop wasting time looking at endless amounts of charts every day. Cheers, Ivan Labrie. Ps: Check out this link, you can see Forex daily/weekly/monthly performance ranking of all currencies. www.finviz.com
Education
by IvanLabrie
10