Get started

T-distribution

Bitcoin’s Rounded Top [Wyckoff Distribution]: 5 Phases to KnowHello, Trading Community! Today, we dive into the fascinating world of the Wyckoff Distribution model as it applies to Bitcoin's current market structure. Please remember that this article is purely for educational purposes and is not intended as trading advice. While we explore potential scenarios, including the possibility of Bitcoin heading down to $30,000 or even $25,000, these claims are speculative and should be considered hypothetical. The Wyckoff Distribution Model: A Roadmap for Market Tops The Wyckoff Distribution model offers a comprehensive framework for understanding how major market players distribute their holdings before a significant downturn. It is divided into several phases: Phase A: The market begins to show preliminary signs of selling pressure after an extended uptrend. This is the first hint that the balance of power is shifting from buyers to sellers. Phase B: The market enters a consolidation phase, moving sideways as large investors gradually distribute their positions. Phase C: A deceptive breakout, known as the Upthrust After Distribution (UTAD), occurs here, often trapping unsuspecting retail traders. Phase D: The onset of a decline, marked by clear Signs of Weakness (SOW), indicates that the distribution phase is nearing its end. Phase E: The final phase, where the market confirms the distribution and continues to fall, marking the completion of the process. Breaking Down Bitcoin's Key Price Points Let's take a closer look at the crucial price points that have defined Bitcoin's current structure within the Wyckoff Distribution model: Buying Climax (BC) - $73,660 This is the pinnacle of buying activity, where demand reaches its peak before supply starts to dominate. For Bitcoin, this level marked the highest point in the current cycle before a significant sell-off began. Automatic Reaction (AR) - $60,795 Following the Buying Climax, the market experienced an Automatic Reaction—a sharp drop as sellers stepped in. This level is critical as it signifies the start of the distribution process. Upthrust (UT) - $71,180 The Upthrust represents a rally that tests the resistance near the Buying Climax. However, it fails to sustain those levels, hinting that the market's upward momentum is weakening. Upthrust After Distribution (UTAD) - $71,680 The UTAD often serves as a bull trap, where the price makes a final push above the resistance only to quickly reverse. This move confirms that distribution is taking place. Sign of Weakness (SOW) - $54,344 After the UTAD, the market drops significantly, signaling a clear Sign of Weakness. This level demonstrates that sellers are gaining control, pushing the price to new lows. Last Point of Supply 1 (LPSY 1) - $70,040 The first Last Point of Supply (LPSY 1) is a weaker rally that fails to reach previous highs. This is a key indicator that the market's bullish momentum is fading, and distribution is nearing completion. Last Point of Supply 2 (LPSY 2) - $65,105 Currently, Bitcoin is in Phase E, at the LPSY 2 point. This level is crucial as it typically marks the final confirmation of distribution before a sustained downtrend. Navigating Phase E: The Final Act of Distribution As Bitcoin navigates through Phase E, the LPSY 2 level becomes a focal point. This phase is characterized by further price declines as the market confirms the distribution. Here’s what to watch for: Lower Highs and Lower Lows: Expect the price to continue forming lower highs and lower lows, reinforcing the bearish trend. Volume Patterns: During this phase, volume analysis becomes critical. Look for decreasing volume on upswings and increasing volume on downswings, which confirms the presence of distribution. Final Thoughts The Wyckoff Distribution model provides a structured way to understand how markets transition from bullish to bearish trends. With Bitcoin currently exhibiting a Rounded Top structure and sitting at LPSY 2 in Phase E, the evidence suggests that we may be on the cusp of further declines. By staying vigilant and analyzing key price levels and volume patterns, traders can better position themselves to navigate this challenging market environment. In this complex market phase, understanding the underlying forces at play can be the difference between protecting your capital and being caught off guard by the next big move. Stay tuned for more!
INDEX:BTCUSDEducation
by ArShevelev
4
Solana - Wyckoff Mark Up ExampleSolana vs. Wyckoff Logic SOLUSD example of mark up in the Wyckoff logic schematic. If unfamilar, there are market phases according to Wyckoff Logic: Accumulation: The phase where the market stops falling and begins to form a base, suggesting that demand is starting to overcome supply. It is characterized by a selling climax, where the price falls sharply, and the volume is high, indicating panic selling. After the climax, there is typically a phase of sideways movement, with occasional tests of the lows. This phase is labeled as the cause, setting up for a new upward trend (effect). Markup: After accumulation, the price starts to rise, signifying that the market is entering the markup phase. This phase is indicated by a rise in price away from the accumulation zone, often with increasing volume, which is interpreted as the start of a new uptrend. Distribution: This is the phase where the market tops out and is characterized by a buying climax. Supply begins to overcome demand as the "smart money" starts to distribute their holdings to the market. The distribution phase is also labeled as the cause for the subsequent downtrend. Markdown: Following distribution, the market enters the markdown phase where prices start to fall consistently. This phase is shown by a break of support levels with increasing volume, indicating a strong presence of selling pressure. The image also depicts the concept of "Volume" with a histogram at the bottom. The volume bars are colored in red and blue, generally indicating selling and buying volume, respectively. The histogram helps traders identify moments of high or low volume, which can be a sign of the strength or weakness of a particular price movement. Wyckoff's analysis technique is grounded in the study of price action, volume, and time, as they relate to supply and demand. It is a tool for understanding the market's structure and potentially predicting future price movements by identifying the actions of large institutional traders and investors.
COINBASE:SOLUSDEducation
by kingthies
Distribution Curves and Investing I recently released an indicator called the Cumulative Distribution Density of Dataset indicator. One of the main highlights of this indicator is its, at the time of writing, the only indicator available on Tradingview/Pinescript that assesses the degree of normality as well as the type of distribution of a ticker, index or economic variable. Before this, you would need to export data into a statistical package such as Excel, SPSS, R or SAS to perform such an analysis. So I figured its probably time to talk about the bell curve again. Some of you may remember, I released an educational video called “Trading Using Bell Curves”: In this video, I discuss the implications of using bell-curves for trading. However, I want to reel it back and talk more specifically about distributions and trading, and why you, the investor and/or trader, should be paying attention to them. This is something I honestly have never seen talked about and really, you are doing yourself a huge disservice as a trader AND an investor for ignoring it. so let’s get into it! But before we start, I won't review the basics of the bell curve, but if you are interested, consider watching the video above. Alright, now on with the math! Understanding stock distributions, which come in various forms such as leptokurtic, platykurtic, and more, will provide you with valuable insights into market behavior and risk management. Did you know that certain distribution types can alert you that a stock generally has an unstable trajectory? And by looking at the distributions, you can also tell which stocks are more prone to aggressive crashes and which are more stable? Well you can, and I am going to teach you how! So let’s go over the main types of distributions in stocks and their implications for you as a trader. Types of Stock Distributions Normal Distribution This is probably the one you hear talked about a lot. A normal distribution, also known as Gaussian distribution or bell curve, is characterized by its symmetrical shape. In a normal distribution, the mean, median, and mode are all equal, and data points are evenly distributed around the central value. This distribution tends to be common in nature but tends to be not all that common in long term stocks. There are some exceptions; however. For example, NYSE:BAC (Bank of America) actually has a normally distributed dataset from initial listing to now: When stock returns follow a normal distribution, it becomes easier to predict future price movements and assess risk more easily. One way to do this is by using the cumulative distribution function (or CDF). Which is a mathematical function that provides the probability that a random variable takes on a value less than or equal to a specific value. For example, if we have 10 students with various test scores, we can plot all test scores using CDF and determine what the probability is that a random student’s test score will be above 90% or below 20%. We can visualize this on NYSE:BAC by having the indicator plot the CDF for NYSE:BAC : The image above plots the CDF distribution for NYSE:BAC on the monthly timeframe since its IPO. Because BAC is normally distributed, we can place a high level of confidence in the results of the CDF. We can also use the CDF to our advantage. How? By planning where we could buy. We should buy when the price is at a level where 50% to 60% or more of the time the price will fall above. Turning back to our BAC example, we can display this with a simple trendline: We can also operate on the assumption that NYSE:BAC is likely to go lower from here. Why? Because the normal distribution is not yet invalidated. As of right now, BAC retains a normal distribution. Thus, we can expect BAC to cycle back down to bring its CDF back towards 50% and 60%. We can see another example below, AMEX:XLE : Key Points for Tickers that are Normally Distributed: They tend to be more cyclical, having periods of sustained decline, followed by periods of sustained rise. They are the most stable and predictable type of ticker to invest or trade in, but tend to be general underperformers (because of their cyclical behaviour of decline and then rise). However, this is not always the rule, the advantage to a normally distributed ticker is you can calculate your likely returns to a high degree of accuracy! Some examples of stocks that have a normally distributed history are NYSE:T (AT&T), NYSE:BAC (Bank of America), AMEX:XLE (Energy ETF), T-Mobile and $BABA. You will generally notice that, if a ticker in one industry is normally distributed, chances are other tickers in the same sector is as well, even international tickers in the identical sector. For example, T-Mobile (TMUS), T (AT&T) and TSX:T (Telus) all are telecommunication providers and all have normally distributed data. They respond very well to log-linear and linear regression methods. But what about other distributions? Let’s talk about them. Leptokurtic Distribution A leptokurtic distribution is characterized by a higher peak and fatter tails than a normal distribution. In this distribution, extreme events, such as market crashes or rapid price spikes, are more likely to occur compared to a normal distribution. From my experience, most stocks fit this description, but one of major note is NYSE:BA : Leptokurtic distributions indicate higher volatility and a higher likelihood of extreme price movements. In general, you need to be more cautious with leptokurtic distributions because there is generally heightened volatility. A CDF on a leptokurtic distribution is not as clean, as we can see from plotting BA’s CDF: Because BA’s distribution is not normal, the CDF becomes slightly unreliable and we cannot employ the 60% rule. So can we still use the distribution to help us gauge entries? Yes! We can! However, it’s a bit more nuanced with leptokurtic distributions. The first thing to remember with leptokurtic distributions is… they crash… a lot. We can see this with BA: The flags in this chart represent areas BA has crashed. Crashes in leptokurtic distributions are usually characterized by a drop on the CDF of the probability a stock will go lower to around 75% to 85%. We can see this if we overlay the CDF for BA with the chart: These are the dips you would want to buy in a leptokurtic distribution. If we take a look at another example, AMD: Key Takeaways from Leptokurtic Tickers: They are among the most unstable tickers and experience among the most crashes. Your risk as an investor is heightened on any ticker that is leptokurtic. They do not respond well at all to log-linear or linear regression methods. Unlike normal distributions, leptokurtic distributions don’t generally follow sectors and they tend to be company specific tickers (which explains their proneness to crashing and volatility). Some major examples of leptokurtic distributions are NYSE:BA , NASDAQ:AMD , NASDAQ:MSFT , Platykurtic Distribution A platykurtic distribution has a flatter and wider shape compared to a normal distribution. In this case, the data points are more spread out, and extreme events are less likely to occur. As such, platykurtic distributions suggest lower volatility and a more stable market environment. However, it is important to know that prolonged periods of low volatility can be followed by sudden spikes, leading to unexpected market movements. These are extremely rare distributions that I have not observed in any of the tickers I have traded. However, theoretically, platykurtic distributions would come in smooth waves up and down. We can visualize this if we look at SPY’s January 2022 highs till its October lows. This was a platykurtic, negative distribution (indicating a stable downtrend): Because platykurtic distributions are cyclical, you long on the bullish peaks when the probability of higher prices is >= 90% and short on the bearish peaks when the probability of downside is >= 90%: However, this is not at all prevalent or observed in stocks ever, so you would be lucky to find a platykurtic distribution! Key take aways from Platykurtic distributions: Playkurtic distributions, theoretically, are cyclical like the normal distribution, which make them more stable. They would be similar to normally distributed tickers in their under-performance, but superior in their ability to not generally experience equal rises and declines. Skewed Distribution A skewed distribution is asymmetric, with a longer tail on one side. Positive skewness means the tail is on the right (indicating more extreme positive values), while negative skewness implies a left tail (indicating more extreme negative values). Skewed distributions can signal a bias in market sentiment. For example, positive skewness may indicate a bullish bias, while negative skewness may suggest a bearish bias. While many people look to EMAs or trendlines to identify long-standing bull or bear markets, its actually not necessary, you can ascertain this simply from the distribution. If we take a look at SPY: This is SPY’s distribution since the IPO. We can see that it has a positive skewness (right tail), with extreme outliers. This signals to us, the investors, that SPY has been in a bull run since its IPO. Despite multiple corrections and bear markets, SPY retains the distribution characteristic of a bullish stock. In fact, SPY frequently experiences extremely positive outliars (outliars to the upside) more often than extremely negative outliars (crashes to the downside). This is observed with its positive skewedness. Planning entries on a positively or negatively skewed ticker is a bit more difficult. Crashes substantial enough to bring the probability of going higher to 50% or more tend to be rare (see image below): So when you are dealing with a positively skewed stock, its best to apply alternative, complementary strategies to determine entries, such as using regression channels, longer running EMAs or time series modelling. You can still use CDFs, but you will need to focus on a narrower timeframe. For example, if we plot SPY from its January high to the current day, we can see the data is normally distributed and thus can refer to our parameters for entry on a normal distribution: Key Takeaways from the Skewed Distribution: The Skewed distribution are going to net you your returns (assuming, of course, the ticker is POSITIVELY skewed). These are the tickers that tend to experience exponential growth and returns. Skewed distributions tend to outperform other distribution types, but not without risk. Skewed distributions have an inherent tendency to see dramatic outliars either up or down. Unlike a leptokurtic distribution which is more prone to crashes, a positively skewed distribution is more likely to experience extreme outliars to the upside (meaning bull runs) than to the downside. However, a negatively skewed distribution is more likely to experience more frequent and dramatic drops to the downside than to the upside. So pay attention to the skewness! If it is negative, the risk of a downturn is greatly augmented. Skewed distributions respond reasonably well to log-linear and linear regression methods. Famous example is AMEX:SPY of course! Conclusion While I didn’t cover all possible distributions, I did cover the main ones to pay attention to. However, I hope you now have a better understanding and appreciation for the importance of paying attention to the distributions of stocks. The importance of this is often underestimated but it is, in fact, a crucial aspect of successful investing and trading. Various distribution types, such as normal, leptokurtic, platykurtic, and skewed, provide valuable insights into market behavior and risk assessment. Investors and traders who take the time to understand these distributions can make more informed decisions, manage risk effectively, and enhance their overall success. Thanks so much for reading and hopefully you learned something! Safe trades and, as always, feel free to share your questions and comments below :-). By the way, the indicator is linked below if you would like!
NYSE:BACEducation
by Steversteves
4
How to Use the Accumulation/Distribution IndicatorLearning how to identify accumulation and distribution in an asset is an important skill to have for any trader. Luckily, there’s a handy tool we can use: the aptly-named Accumulation/Distribution indicator. In this article, we’ll show you how this accumulation/distribution indicator works, where it’s best applied, and how you can combine it with other tools to boost your odds of success. What Is the Accumulation/Distribution Indicator? The accumulation/distribution indicator, also called the accumulation/distribution index, accumulation/distribution line, and abbreviated to A/D, is a cumulative indicator that uses price and volume data to measure the strength of an asset’s trend. It helps traders identify buying and selling pressure in the market and can show whether an asset is likely to continue trending or is due for a reversal. It was created by renowned trader Marc Chaikin, who also developed the famous Chaikin Money Flow indicator. Accumulation vs Distribution Accumulation occurs when buying pressure outweighs selling pressure, resulting in price appreciation. Conversely, distribution is where sellers have the upper hand over buyers, creating downward momentum. In practice, the plotted A/D line will move up when accumulation is present and down when distribution occurs. Accumulation/Distribution Oscillator Formula and Components The ADI seeks to quantify an asset's buying and selling pressure by considering its trading range and trading volume. First, it calculates the Money Flow Multiplier (MFM) using the following formula: MFM= ((Close−Low)−(High−Close)) / High−Low This results in a reading between -1 and 1. When the price closes in the upper half of its high-low range, the MFM will be positive. If it closes in the lower half, then MFM will be negative. In other words, if buying pressure is strong, the MFM will rise, and vice versa. Second, it generates the Money Flow Volume (MFV) with the following: Money Flow Volume = MFM × Volume For the first candle in a given chart, the MFV is the first A/D value. Since the indicator is cumulative, the MFV is added to the previous A/D value. In essence: First Calculation = (ADI = MFV) Subsequent Calculations = (ADI + MFV) This then creates the A/D line. While it may seem unnecessary to know the formula, it can provide us with significant insight into how an accumulation/distribution rating is given. For example, a strong bullish trend may cause an asset to close high in its trading range, producing an MFM reading close to 1. If this is backed up by high volume, the A/D line will surge upward. However, if the volume is lacking, then the A/D may only increase slightly. Thankfully, we don’t need to perform this calculation ourselves. With the free TickTrader platform we offer at FXOpen, you’ll find the accumulation/distribution indicator and dozens of other tools ready to help you navigate the markets. How to Use the Accumulation Distribution Indicator There are three popular ways to use the A/D indicator: identifying reversals, trend confirmation, and trading breakouts. Identifying Reversals One of the most effective uses of A/D is to spot potential reversals using divergences between the price and the A/D line. A bullish divergence occurs when the price falls, making lower lows, while the A/D line trends upward, creating higher lows. Conversely, a bearish divergence can be seen when an asset makes new highs, but the A/D puts in lower highs. It essentially shows us that while the price is moving in a specific direction, the underlying pressure supporting the move is waning. The example above demonstrates that fewer sellers are participating as the trend progresses lower; eventually, buyers take over and push the price much higher. Trend Confirmation A/D line can also be used to confirm the direction of a trend. In this context, traders monitor the alignment of the line with the price action. In an uptrend, both the price and A/D should be rising. If the A/D moves in the same direction as the price, it confirms the strength of the uptrend and suggests that the buying pressure is likely to continue. As in the chart, traders could have used the A/D and price alignment to position themselves in the direction of the bull trend. Similarly, during a downtrend, the price and the A/D should be falling. If the A/D is falling alongside the price, it indicates that the selling pressure is strong, and the downtrend is likely to persist. Trading Breakouts Lastly, A/D can help traders confirm breakouts beyond support/resistance levels. If there’s a critical level that a trader is watching to jump in on the breakout, a breakout beyond a similar level in the A/D indicator can signal the start of a new trend. In the example, we see a strong resistance level, both in price and the accumulation distribution chart. As the move is confirmed by A/D, breaking out above both dashed lines, traders have confidence that the price is ready to move higher. Integrating the Accumulation and Distribution Indicator with Other Tools While the A/D indicator is a valuable tool on its own, it’s best to use it in combination with other indicators to help filter out false signals and improve the accuracy of your predictions. Let’s take a look at two indicators to integrate with A/D: moving averages and the Relative Strength Index (RSI). Moving Averages Moving averages are a popular tool used by many traders to determine the direction of a trend, especially when two moving averages cross over. As mentioned, the trajectory of the A/D line can show traders that a trend is supported by volume; similarly, a price sitting above or below a moving average can indicate a trend’s direction. Using the two together can provide an at-a-glance reading of a trend, which can be extremely useful for trend-following traders. In this example, we’ve used the Exponential Moving Average (EMA) cross indicator in TickTrader, with two 20-period and 50-period EMAs. The fast EMA crosses above the slow EMA, showing that a potential bullish trend is forming. The price continues to stay well above the 50-period EMA as time progresses, demonstrating that there’s a strong bull trend. We also have confirmation from the A/D line that the bullish momentum is backed up by supporting volume. Seeing this, traders can be confident that the trend will continue. When the EMAs cross over bearishly, as seen on the right-hand side, traders may start looking for the A/D line to confirm that a bearish trend has started and exit their position. RSI Similar to the A/D indicator, RSI can be used to both spot divergences and confirm trends. The divergences are the same as A/D; a lower low in a price with a higher low in the RSI indicates a potential bullish reversal, while a price making a higher high and a lower low in RSI is regarded as bearish. Meanwhile, an RSI reading above 50 is typically seen as bullish, while below is bearish. Using the two indicators together can offer traders extra confluence that the market is headed in a particular direction. In the chart shown, we can see that the price is making a lower low. However, the Apple stock’s accumulation/distribution line shows a bullish divergence, as does the RSI. Traders could have marked the most recent area of resistance (dashed line), and then waited for the price to break out above it before looking for an entry. This move was confirmed by the RSI moving above 50, showing that bullish momentum is truly entering the market and offering multiple factors of confluence. What to Do Next You now have a comprehensive understanding of the accumulation/distribution indicator, including its formulation, its three main uses, and how to combine it with other indicators for extra confirmation. Ready to put your newfound knowledge to the test? You can open an FXOpen account to apply what you’ve learned and hone your trading skills across a diverse range of markets, from forex and commodities to stocks and indices. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
Editors' picks
Education
by FXOpen
3
📊 Four Market PhasesThe four market phases in trading are characterized by different levels of buying and selling activity, trading volumes, news and sentiment, and price trends. By understanding these phases, traders and investors can better anticipate market movements and position themselves to take advantage of opportunities as they arise. 🔹 Accumulation In this phase, the market is characterized by low trading volumes and a lack of clear price trend. Buyers and sellers are more or less balanced, and prices tend to remain within a certain range. This phase is often seen as a period of accumulation by smart money investors who are slowly building up positions before the market begins to trend. 🔹 Uptrend In this phase, the market experiences a sustained rise in prices, driven by increasing demand from buyers. This is typically accompanied by higher trading volumes and positive news and sentiment. Traders may look to buy into dips during this phase, in order to take advantage of the overall trend. 🔹 Distribution In this phase, the market begins to show signs of weakness, with prices starting to trend sideways or even decline. This is typically accompanied by lower trading volumes and negative news and sentiment. Smart money investors may begin to sell into strength during this phase, as they look to lock in profits before the market turns lower. 🔹 Downtrend In this phase, the market experiences a sustained decline in prices, driven by increasing supply from sellers. This is typically accompanied by lower trading volumes and negative news and sentiment. Traders may look to sell into rallies during this phase, in order to take advantage of the overall trend. 👤 @AlgoBuddy 📅 Daily Ideas about market update, psychology & indicators ❤️ If you appreciate our work, please like, comment and follow ❤️
Education
by QuantVue
1
How to Study Price and Wave volume RelationshipHi 👋 In this post I would try to throw some light on the Price & Wave Volume relationship (popularized by late David Weis). This method may help trades in two ways: 1️⃣Ride the trend 2️⃣Picking the end of a rally I came across this chart randomly and found that there are a few principles that I can discuss with the help of this chart. Before reading any further I want to disclose that this technique was not originally developed by me. However, different authors may have different interpretations when it comes to some techniques of discretionary trading. This is a small piece of what I have learnt as a big follower of price action trading. I don’t want to go for bar by bar analysis here due to time and space constraints, so I have marked a few important places (as numbers in green rectangles) that are important and need to be discussed. The numbers in white are the cumulative wave volume in crores. This means just keep on adding the volume of each up bar until there is a reversal. I have taken the reversal a 2points on closing basis. Which means I keep on adding the volume until the price closes 2points below the close of the previous bar. The opposite is true for down waves. 🚀Point1 If you look at the upwave preceding the downwave at point1, it is the sharpest of the rallies from March 2020 lows (scroll back the chart a bit). Also wave volume is the highest (37cr) compared to 10,19 and 18cr on previous upwaves. At point 1 there is 10cr volume on the downwave, which is the highest on any downwave in the rally from Mar2020 lows. This is an alarming signal that sellers are getting active. But this may not impress us to liquidate our trades as we need further evidence to confirm this weakness. 🚀Point2 Here we have very high volume accompanied by the widest bar (in the rally) but closing in the middle. These three things confirm here that sellers have stepped in and the stock is weakening. 🚀Point3 There is a rally back to the highs but this time with lesser volume (29cr compared to 37cr) than preceding rallies. This is our second confirmation that buyers are turning there back at this level, at least for now. This is a sure exit opportunity for investors who bought at the lows. 🚀Point4 There was a sharp reaction with huge volume of 31cr and very wide bar, closing off of its lows. At this point there is still confusion that the trend has reversed or not. If it was a reversal then there would have been a follow through of 31cr volume on the downside but it is not so. For the next 3 days price sustained above the low of this wide downbar. 🚀Point5 The sellers again tried to push to the stock down but look at the volume in this wave. Are you getting it now? Its just 13cr instead of 31cr on the last downwave. This infers here that seller are not interested. So if seller are not interested then what will happen? Buyers will take over. 🚀Point6 The sellers tested the level of 1, 4 and 5 a few more times, buyers holds it and that develops a support. There was a very strong rally (compared to rallies in the last one year) back to the highs and volume is again 23cr which is lesser than volume at previous highs. Lesser volume could have 2 interpretations – there are less sellers this time and/or buyers are not interested. 🚀Point7 The stock is back to the support again. But volume on downwaves is much lesser in relative terms. In fact, it decreasing from 13 to 4 and then 2cr (see chart). Where have the sellers gone? They don’t want to sell at the support. 🚀Point8 Lack of selling leads to buying and eventually to new highs. Notice that there in very less volume at point 8 (only 4cr). This time sellers attempt (5cr) was failed quickly (without hitting support) and new highs were made outside resistance (developed at 2, 3 and 6). At this stage, when the price is closing outside the resistance, I would expect more volume to come in. More volume at this stage would indicate that buyers are interested but that is not the case here. 🚀Point9 Point 8 looked like a failed breakout attempt. The price fell back into the trading range (between support and resistance ). If I look at volume here, it is 15cr on this downwave. In the immediately preceding fall with 17cr it touched the bottom end of the range but this time with 15cr it is just at the middle of the range. This signifies re-accumulation at point 9. 🚀Point10 Re-accumulation lead to a rally back into resistance. We have 13cr as of now. Its too early to say, before this upwave ends, but 13cr is less (for me at this point) to push it any further. It seems holding back in the range. 🚀🚀Final thoughts This is a very nice and rare example showing both distribution (by the seller at resistance level ) and accumulation (by the buyers at support level ). Normally the price peeps outside the range on both sides and fails to follow through, until there is a decisive break on either side. I hope you learnt something new in this post. Now you can do one thing, press 🚀 to encourage me to write more educational stuff. Thanks for reading.
NSE:ADANIPORTSEducation
by Bravetotrade
HOW TO: Differentiate Accumulation vs DistributionHello, in this video I discuss a current active trade on AUD/JPY (see my page) and how I decide whether a consolidation phase is in accumulation for a wave up, or distribution for a wave down... I believe that the AUD/JPY pair is in a distribution phase and I explain why in the video. don't usually make videos and I'm sort of congested today so sorry if sound quality isn't subpar... :) safe trading and have a good weekend!
Education
by UnknownUnicorn37609548
Mastering The Wyckoff Method of Technical Analysis Introduction: ----------------------------------------------------------- In the time period of April in 2021 Bitcoin reached its local high of roughly US $65,000 per coin, shortly after when May came along many social channels quickly lit up with the now infamous “Wyckoff Distribution Schematic” (This was one popular video that described it here: www.youtube.com), and shortly after BTC came crashing down back to the $30,000 region playing this schematic almost perfectly. I myself was trading Bitcoin using the Wyckoff Method at this time, and I was introduced to a plethora of new traders and investors trying to understand the complicated Wyckoff method, but the fact of the matter was, many were sharing or educating others in incorrect ways to use this method. From this day I took more of an interest in educating others in the Wyckoff Method, and below I am going to pick apart, introduce and help you master some of the key concepts used in this method of analysis. Bitcoins Chart March-May 2021 Read more about the Crash in 2021: www.aljazeera.com Who is “Wyckoff”?: ----------------------------------------------------------- Richard Demille Wyckoff (November 2, 1873 – March 7, 1934) was considered one of the five “titans” of technical analysis, along with Dow, Gann, Elliott and Merrill. At age 15, he took a job as a stock runner for a New York brokerage. Afterwards, while still in his 20s, he became the head of his own firm. He also founded and, for nearly two decades wrote, and edited The Magazine of Wall Street, which, at one point, had more than 200,000 subscribers. Wyckoff was an avid student of the markets, as well as an active tape reader and trader. He observed the market activities and campaigns of the legendary stock operators of his time, including JP Morgan and Jesse Livermore. From his observations and interviews with those big-time traders, Wyckoff codified the best practices of Livermore and others into laws, principles and techniques of trading methodology, money management and mental discipline. Wyckoff's research claimed many common characteristics among the greatest winning stocks and market campaigners of the time. Wyckoff also has techniques he believed offered advantages when markets were rising or falling (bullish and bearish). Wyckoff offered a detailed analysis of the "trading range", a posited ideal price bracket for buying or selling a stock. One tool that Wyckoff provides is the concept of the Composite Operator , another is Volume based analysis . Who is the Composite Operator / The Composite Man?: ----------------------------------------------------------- “…all the fluctuations in the market and in all the various stocks should be studied as if they were the result of one man’s operations. Let us call him the Composite Man, who, in theory, sits behind the scenes and manipulates the stocks to your disadvantage if you do not understand the game as he plays it; and to your great profit if you do understand it.” (The Richard D. Wyckoff Course in Stock Market Science and Technique, section 9, p. 1-2) Based on his years of observations of the market activities of large operators, Wyckoff taught that: The Composite Man carefully plans, executes and concludes his campaigns. -The Composite Man attracts the public to buy a stock (financial asset) in which he has already accumulated a sizable line of shares by making many transactions involving a large number of shares, in effect advertising his stock by creating the appearance of a “broad market.” -One must study individual stock charts with the purpose of judging the behaviour of the stock and the motives of those large operators who dominate it. -With study and practice, one can acquire the ability to interpret the motives behind the action that a chart portrays. Wyckoff and his associates believed that if one could understand the market behaviour of the Composite Man, one could identify many trading and investment opportunities early enough to profit from them. Above excerpt from: school.stockcharts.com Many traders and investors who follow the Wyckoff Method treat the Composite man as a real entity, for Cryptocurrency holders this might be seen as a whale who controls the price. Wyckoff himself did not find it necessary to define a importance between the Composite man being an imaginary being, a creation of one's own mind or a real entity, but defined an importance towards “Thinking” like the Composite Man, by thinking like a “Large Operator” we change our Psychology. But what does this mean? In the book titled, “The Compound Effect” by Darren Hardy (Founder of Success Magazine) there is a section titled “Find Your Fight” in Chapter 3, in this section Darren describes how hate is often as strong as a motivating force as love, but why is this relevant? A person who is in love may do crazy things, but so will a person who is consumed by hate, as both are powerfully motivating forces. By creating a “Enemy” (Someone to hate) our mindset changes to a defensive manner, we are now in “Battle” with our Enemy. Here is a quote from the book, which is one of my favourites: “Contrary to social correctness, it can be good to hate. Hate disease, hate injustice, hate ignorance, hate complacency, and so on. Sometimes identifying an enemy lights your fire.Some of my greatest motivation, determination, and dogged persistence came when I had an enemy to fight. In history, the most transformation stories and political revolutions came about as a result of fighting an enemy. David had Goliath, America had the British. Luke had Darth Vader…” And as traders; we have The Composite Man… A great article on the Composite Man can be located here for further education: www.wyckoffanalytics.com Wyckoff's "Five Step Approach": ----------------------------------------------------------- The Wyckoff Method involves a five-step approach to stock selection and trade entry, which can be summarized as follows: 1. Determine the present position and probable future trend of the market. Determine what the current characteristics of the price structure and Supply & Demand are, (are we in a Uptrend, Downtrend or Sideways) by getting a general idea of the Price Structure, Sentiment & Supply and Demand we can determine if we want to be in a long or short trade, or no trade at all, and what the probable future direction of the market may be. Refer to Section “Market Phases & Cycles” below to understand this further. 2. Select stocks in harmony with the trend. In an uptrend, select stocks that are stronger than the market. By selecting assets moving with the Primary Trend, we are increasing chances of success. (For example, if the dominant asset in Crypto, Bitcoin is on a strong uptrend is it fair to assume that you are going to have more success trying to long other Cryptocurrencies which are highly “correlated” and likely to follow in that direction. Financial Assets that “decorrelate” and show stronger increases during uptrends and smaller decreases on pull backs may be showing signs of being stronger then the market as a whole (long position), for shorts we are looking for Assets that are showing weakness and stronger decreases then the market as a whole. 3. Select stocks with a “cause” that equals or exceeds your minimum objective. Every action, has a reaction, every cause, has an effect, this statement basically means that if you are going to enter the market and take a position, look for assets that have a rational and reasonable cause for you to reach your target objective. A great example is using Price Target Measurements when trading Chart Patterns, each Chart Pattern is the cause, and the Price Target is the effect. If there is a Cause, but no Effect, then it is a potential sign of weakness. Please see “Wyckoff Laws” below for more information. 4. Determine the stocks' readiness to move. Use a pre determined system to determine how close assets are to entering the Mark Up or Mark Down Phases. Find the right system to see when a asset is about to Uptrend or Downtrend. Use the 9 Buying & Selling tests, aswell as the Wyckoff Schematics explained below to understand this concept further. 5. Time your commitment with a turn in the stock market index. Financial Markets are highly correlated, this means that we want to be timing our investments and trades with the Leading Market Assets or Index’s (A Index is basically a grouping of the Top Stocks or Companies in that Industry, for example, SP500, AU200). Why do we want to time? Lets use Bitcoin as a example. Sometimes Bitcoin is almost correlated to 80-90% of the Stock Market, that means the price moves almost in sync, so by watching the price movements and analyzing the Stock Market we can also get clues on the direction of the asset we are trading. If Bitcoin is moving up, but the Stock Market is heading down, and the correlation is HIGH, we can assume that the upside move may not be likely to continue. Market Phases & Cycles: ----------------------------------------------------------- According to Wyckoff, the market can be understood and anticipated through detailed analysis of supply and demand, An idealized schematic of how he conceptualized the large interests' preparation for and execution of bull and bear markets is depicted in the figure above. The time to enter long orders is towards the end of the preparation for a price markup or bull market (accumulation of large lines of stock), while the time to initiate short positions is at the end of the preparation for price markdown. Also note the different Phases of the Market. Before we continue below, please click on the image below for my basic introduction to Market Phases & Cycles, which is an important topic to have an understanding of before continuing onto Wyckoff Schematics. This is also relevant to understand Cause & Effect mentioned below. Notice how each Cause has an Effect! To simplify the concept - Markets move in cyclical patterns, with a full cycle usually having Accumulation > Reaccumulation > Distribution >Redistribution, there can also be Micro trends within the cycle. Uptrends (HH, HL), Downtrends (LL, LH) and Sideways movements form the price structures which make up the Phases of the market, which in turn create the Cycles. Three Laws of Wyckoff ----------------------------------------------------------- Wyckoff Analysis is fundamentally based off the Three Laws of Wyckoff, which can be found and recognized across many different types of Analysis, the Laws help give insight to our analysis and choice of buying/selling. 1. Supply vs. Demand --------------------------------- Wyckoff states when demand is greater than supply, prices rise, and when supply is greater than demand, prices fall. When sellers outweigh the buyers, the market is dominated by Supply, a large supply of an asset to sell, means greater selling pressure and a higher probability of a decrease in price. A sign of Demand (Buying Pressure) is a shortage of Supply, in a Cryptocurrencies case it would mean that the demand of buyers on exchanges outweighs the supply available for purchase on exchanges. As the amount up for purchase quickly falls to a low number the greed of participants drives them to want to pay higher prices for an asset. When buyers outweigh sellers, the latter occurs with a higher probability of increase in prices. A sign of Supply (Selling Pressure) is a shortage of Demand, in a Cryptocurrencies case it would mean that the demand of buyers on exchanges under weighs the supply available, institutional investors and funds hold majority share of the SUPPLY and with no interest in buying from the retail participants we see investors (sometimes impatient or fearful) become sellers in anticipation of there being no increase in price in the short term (relative to their perspective). Using this secondary chart below, we can clearly see the "Demand (Green)" and "Supply (Red)" areas of Siacoin SC. We can see that both the Demand & Supply areas are respected and have strong reactions, and with patience we will see if the dominating factor on Siacoin right now is Supply or Demand, but considering some of the points I will go into below so far its looking like it is shifting into the favour of demand currently with a visit to the 0.5 (50%) of the Trading Range. Take note of the small abbreviations at the start of the TR (Trading Range) for now - see Wyckoff Schematics section later. Other ways to analyze Supply & Demand in Cryptocurrencies are more literal - for example you can literally go onto the Blockchain and see the wallets of coins, how many each holds, what % of the Supply is owned by Siacoin itself, the amount of wallet holders, I will not go into this type of analysis in a detailed manner as it is not my expertise. 2. Effort vs. Result --------------------------------- Wyckoff states that every effort should lead to a result in the financial markets. Here is a example of a “Effort Vs Result” in a Trading Range (Parallel Channel) using Volume & Price Analysis (Please Click the Image, for Further Educational Idea) This statement is applied to our charts by using data on Trading Volume. When we see abnormally large trading volume at key areas on the chart, we can usually expect a continued move in that direction, if the Effort produces no result though, that abnormally large trading volume can give us a sign that the participants betting on the market to move in that direction have not gathered enough momentum to do so (Marked in Light Blue), which leads to them being trapped (Marked in Dark Blue) and then a reverse in the opposite direction in price (Marked in Purple). Effort Vs Result can also be interpreted in a number of ways, lets analyse the above Siacoin SC chart using this concept: In the first image, the Trading Range is created, once at the lower range, volume decreased (this was not just a singular occurrence, with the whole Crypto market having similar low volume and "choppiness" but within this low volume area we can see there was two larger red volume bars, these two bars showed us a increase in sellers in this area, (An effort) but no Result (further Decrease on the next candles) this gives us a sign that the sellers may not be the dominant force now (A “Divergence) leading us to test the previous dominant force area above as supply. This then led us to test the upper Trading Range, where the exactly same thing happened in the opposite. In the 3rd image, we can finally see that the effort of the buyers is now leading to zero result, the trading range is starting to drag out and the volume of sellers is dropping off, in a REAL breakout the volume should continue to increase with the prices. We can see below that never happens here. As the images progress the Supply is obviously Dominant. This leads us to the current chart, where we can see that now the sellers are losing momentum and the buyers have just stepped in. (See the volume?) In the current trading range on SC (Siacoin) we can see quite a lot of abnormally large green bars at the upper range, this shows us that even though a large amount of buyers did in fact come into play here, the upper ranges dominant force was the Supply, and prices then headed towards the lower range.We are now in the process of “Testing” that lower range for Demand. So far the circled Red Bars (in the First chart, the original chart of this post) show us the sellers may be trapped locally. 3. Cause vs. Effect --------------------------------- Wyckoff states that every cause in the market leads to a proportional effect. The market has phases, such as Accumulation, Reaccumulation, Distribution and Redistribution. Each phase should have a "Effect" to match the cause, Accumulation has a Markup, aswell as Reaccumulation, And Distribution and Redistribution are followed by a Mark Down. The phase is the cause, the mark up is the effect. Click on this link for a quick infographic on the Market Phases (Consider each phase as a Cause) which then should have an Effect (Mark Up or Mark Down Phase), this creates the “Market Cycle” and all markets move in cycles: ibb.co This is similar to how a Bull Flag has a target measurement (Mark Up) and a Bear Flag has a target measurement for the downside (Mark Down). For more information on Flag Patterns click the below image, notice on the bottom right picture how the Flag has a measurement which is represented by a extended line, the previous line and the Flag is the Cause, the extended line pointing upwards is the Effect in this case: In this case, if we see a breakout to the upside of this current trading range on SC Siacoin (the Cause) we can assume the Effect will be a strong breakout above the range leading to Mark Up Phase, otherwise the Cause has no Effect, in this situation meaning the range might fail and break downwards. This is similar in a way to Effort vs Result explained earlier, For every Effort, there should be a Result, for every Cause, there should be an effect. Wyckoff Schematics ----------------------------------------------------------- A trading range (Sideways Movement, Zig Zag) shows us an equilibrium between buyers and sellers, and the Wyckoff Theory & Schematics give us clues to which probable direction the price may head out of the horizontal moving price structure. Each Trading Range can be an important Phase in the larger Market Cycle, giving us potential clues and hints within the overall trend. The Wyckoff Schematics help us identify the different between Accumulation and Distribution Trading Ranges (Or Reaccumulation or Redistribution) - In a Trading Range the price Zig Zags up and down until eventually a breakout occurs, using the Wyckoff Accumulation Schematic we can see there are some clues in the similarities of the chart and the schematic that tell us Siacoin may be ready to at least test of the upper bounds of the Trading Range. It is important to note that most Trading Ranges start with obvious characteristics, which we will delve into further below, the first characteristics of the Trading Range (TR) help us identify that we are now moving in a sideways trend: When paired with the Wyckoff 9 Buying and Selling Tests - the Wyckoff Schematics are a great tool to help measure potential entries, exits, risk and to read the price movement in general. There are four types: Accumulation , Reaccumulation , Distribution & Redistribution. And each Trading Range is Analysed in 5 key phases: By splitting our Schematics into 5 key phases, the characteristics become easier to recognize and identify.Remember this when moving forward in this section. Phase A: The trading range (TR) is created (example above) Phase B: The Supply & Demand of the TR is tested Phase C: Deviation outside TR or Final point before reversal Phase D: The new trend begins Phase E: The trend continues In phase D & E, the obvious “Change of Trend” is evident, refer to this infographic below and you can see how a trend contains Higher Highs, Higher Lows (HH, HL) or Lower Lows, Lower Highs (LL, LH); we will come back to this soon: 1. Accumulation : --------------------------------- In accumulation, the shares purchased outnumber those sold. There are roughly 9 characteristics of an Accumulation Range: 1. PS (Preliminary Support) the first Support area that was lost, creating the upper bound of the TR. 2. SC (Selling Climax) the climactic action that is bought up quickly creating the lower bound of the TR. It is a strong example of Effort vs Result usually, with abnormally large selling volume, but no further downside. 3. AR (Automatic Rally) a low volume, quick reaction visiting the other side of the TR, usually indicating short covering. 4. ST (Secondary Test) a secondary test of the initial Demand Area created by the SC. 5. Spring (Fake Out) & Test or LPS (Last point of Support). Spring is usually a great example of Effort vs Result. Spring is then confirmed by a test of Support. LPS (Last Point of Support) occurs when price revisits the recent Demand (Support) area, usually a former Resistance. The term may be used in a plural manner, with multiple LPS forming the Higher Lows that make up the basis of a market trend. 6. JAC (Jump Across the Creek) the Creek is an imaginary line created by the previous downtrend (similar to a Moving Average), we want to see the price “Jump” across the creek. 7. LPS (Last Point of Support) occurs when price revisits the recent Demand (Support) area, usually a former Resistance. The term may be used in a plural manner, with multiple LPS forming the Higher Lows that make up the basis of a market trend. 8. SOS (Sign of Strength) is an abnormally large volume signature upwards price movement which confirms the Spring or LPS. 9. BU/LPS (Back Up / Last Point of Support) occurs when price revisits the recent Demand (Support) area, usually a former Resistance. The term may be used in a plural manner.The SOS & LPS together form the Basis of a Uptrend, see this image for reference: ibb.co . The final LPS before leaving the Trading Range should start the Uptrend.The LPS can sometimes move to the 50% of the Trading Range. We should then enter the Mark Up phase as described at the start of this article. Remember; Accumulation is the Cause, Markup is the Effect. Examples & Links : Accumulation Schematic #1: school.stockcharts.com In this schematic, the Spring is located in the end of the TR, showing trapped sellers. Accumulation Schematic #2: school.stockcharts.com In this schematic, there is no Spring action, instead the price starts moving upwards from the LPS Area (Last Point of Support), the Spring (in this case, ST) is located at the middle of the TR, showing trapped buyers. Example of Accumulation #1 Analysis (Click image, press play to see the result!): Example of Accumulation #2 Analysis: 2. Reaccumulation : --------------------------------- After Accumulation, comes Reaccumulation. Where after a extended upside move, a repeated sideways movement occurs which leads to another extended upside move. ReAccumulation is known also as a Trend Continuation. The characteristics are almost identical to Accumulation, except the previous price movement leading up to the trading range is upwards : Here are the characteristics explained : 1. PS (Preliminary Supply) the first selling area creating the Trading Range. 2. BC (Buying Climax) the climactic action that is sold up quickly creating the upper bound of the TR. It is a strong example of Effort vs Result usually, with abnormally large buying volume, but no further upside. 3. Shakeout (Fake Out to the downside trapping sellers) (I have marked this as SC, to simplify the process as a Shakeout is quite similar in its characteristic. 4. AR (Automatic Rally) a low volume, quick reaction visiting the other side of the TR, usually indicating short covering. 5. ST Area (Secondary Test Area) a secondary test of the initial Demand Area created by the Shakeout. 6. Spring (Fake Out) or LPS (Last point of Support) A Spring occurs when price falls underneath the Trading Range, triggering stop losses and usually inducing investors to Panic Sell, (this is the most profitable area to buy). Spring is then confirmed by a test of Support. Spring is usually a great example of Effort vs Result. LPS (Last Point of Support) occurs when price revisits the recent Demand (Support) area, usually a former Resistance. The term may be used in a plural manner, with multiple LPS forming the Higher Lows that make up the basis of a market trend. 7. JAC (Jump Across the Creek) is when the price “Jumps” across the Trading Range, giving us a final clue before the breakout occurs. The “Creek” is an imaginary line formed from the projected path of the previous price swing highs, this can be used similar to a Moving Average. 8. SOS (Sign of Strength) is an abnormally large volume signature upwards price movement which confirms the Spring or LPS. 9. LPS (Last Point of Support) occurs when price revisits the recent Demand (Support) area, usually a former Resistance. The term may be used in a plural manner.The SOS & LPS together form the Basis of a Uptrend, see this image for reference: ibb.co . The final LPS before leaving the Trading Range should start the Uptrend.The LPS can sometimes move to the 50% of the Trading Range. We should then enter the Mark Up phase as described at the start of this article. Reaccumulation = Cause, Mark Up = Effect Examples & Links : It is important to note that Reaccumulation can appear as Accumulation, in the image below we can see that MANAUSDT looked like Accumulation Schematic #2, yet was actually Reaccumulation due to the previous uptrend. And in this example Reaccumulation looked exactly like Schematic #1 of Accumulation! Reaccumulation Schematic #1: ibb.co In this schematic, the Spring is located at the end of the TR, showing trapped sellers. Reaccumulation Schematic #2: ibb.co In this schematic, the ST (or Spring) is located at the middle of the TR, showing trapped buyers. Traditional Reaccumulation Schematics: ibb.co (Credit: Roman Bogomazov / www.wyckoffanalytics.com) Example of Traditional Reaccumulation #2 Analysis: (Press Play!): 3. Distribution : --------------------------------- Above we learnt that in accumulation, the shares purchased outnumber those sold while, in distribution, the opposite is true. The shares sold outnumber those purchased. In a Distribution Trading Range two of the key characteristics are the UTAD/UT (Upwards Thrust / Upwards Thrust & Distribution) above the Trading Range, and the SoW's Signs Of Weaknesses with strong volume at the bottom end of the range. The start of the trading range should be easily identified by a BC (Buying Climax). The extent of accumulation or distribution determines the cause that unfolds in the subsequent move out of the TR . There are roughly 9 characteristics of an Distribution Range: 1. PS (Preliminary Supply) is the first selling area creating the Trading Range. 2. BC (Buying Climax) is the climactic action that is sold up quickly creating the upper bound of the TR. It is a strong example of Effort vs Result usually, with abnormally large buying volume, but no further upside. 3. AR (Automatic Rally) is a low volume, quick reaction visiting the other side of the TR, usually indicating long covering. 4. ST (Secondary Test) a secondary test of the initial Supply Area created by the BC. 5. SOW (Sign of Weakness) are strong moves to the lower bounds of the Trading Range (or Underneath) with strong volume signature. 6. UT or UTAD (Upwards Thrust) in a UT (Upwards Thrust) a significant amount of buyers enter the market, “Buying the Breakout”, but their Effort, leads to no Result and this variation of a “Bull Trap” is the most significant characteristic of the Distribution TR. A UTAD (Upwards Thrust and Distribution) forms within the middle or end of the Trading Range; there is an obvious lack of Result vs Effort, with abnormally large buying volume signature, yet price fails to get back above this area again. It can look similar to a miniature Trading Range (Distribution). 7. UTAD or LPSY (Last Point of Supply) In Schematic #1 we have the UTAD at the end, in Schematic #2 we have it in the middle (simplified). If the /UT is found in the middle then we are looking for the LPSY to confirm the Resistance, when price revisits the initial Supply area created at the start of the Trading Range, and then successfully decreases from that area. 8. SOW (Sign of Weakness, Fall under the Ice) just like how in Accumulation we Jump Across the creek, in Distribution we do the latter and Fall Under the Ice. SOW (Sign of Weakness) are strong moves to the lower bounds of the Trading Range (or Underneath) with strong volume signature. 9. LPSY (Last Point of Supply) instead of revisiting the initial Supply area created at the start of the Trading Range, in LPSY (Last Point of Supply) revisits the recent Supply (Resistance) area, usually a former Support. The term may be used in a plural manner, with multiple LPSY forming the Lower Highs (LH’s) that make up the basis of a market trend. We should then enter the Mark Down phase as described at the start of this article. Distribution is the Cause, and Mark Down is the Effect. Examples & Links : Distribution Schematic #1: school.stockcharts.com In this schematic, the UTAD is located at the end of the TR, showing trapped buyers. Distribution Schematic #2: school.stockcharts.com In this schematic, the UTAD is located in the middle of the TR, showing trapped buyers. Example of Distribution #1 Analysis (Press Play!): Example of Distribution # 2 Analysis (Press Play!): 4. Redistribution : --------------------------------- After Distribution, Comes Redistribution. Where after a extended down move, a repeated sideways movement occurs which leads to another extended downwards move. Redistribution is also known as a Downtrend Continuation. Redistribution is said to be difficult to analyse, so my general advice is to treat Redistribution as a method to spot an additional Distribution Schematic after a Distribution Schematic and a Mark Down has already occurred previously recently on the chart (Similar to a Bear Flag Pattern after a Distribution). The characteristics are almost identical to Distribution sometimes, except the previous price movement leading up to the trading range is upwards : Here are the characteristics explained : 1. PS (Preliminary Support) the first Support area that was lost, creating the upper bound of the TR. 2. SC (Selling Climax) the climactic action that is bought up quickly creating the lower bound of the TR. It is a strong example of Effort vs Result usually, with abnormally large selling volume, but no further downside. 3. AR (Automatic Rally) is a low volume, quick reaction visiting the other side of the TR, usually indicating long covering + (UT/UA Upwards Thrust / Action) The Upwards Action or Upwards Thrust takes out the Supply above the AR area, before heading back down. 4. ST (Secondary Test) a secondary test of the initial Demand Area created by the SC. 5. UT or UTAD (Upwards Thrust, or Upwards Thrust And Distribution), in a UT (Upwards Thrust) a significant amount of buyers enter the market, “Buying the Breakout”, but their Effort, leads to no Result and this variation of a “Bull Trap” is the most significant characteristic of the Distribution TR. A UTAD is basically a UT (Upwards Thrust) with a Distribution also (miniature Bearish Trading Range) that usually forms within the middle or end of the TR. 6. LPSY + Test (Last Point of Supply) is when price revisits the initial Supply area created at the start of the Trading Range, and then successfully decreases from that area, the test confirmed by tapping the upper Supply Area before heading into the TR again. 7. SOW (Sign of Weakness) *sometimes* with a potential UTAD (Upwards Thrust and Distribution): Signs of Weakness are strong moves to the lower bounds of the Trading Range (or Underneath) with strong volume signature. 8. SOW (Sign of Weakness, Fall under the Ice) just like how in Accumulation we Jump Across the creek, in Distribution we do the latter and Fall Under the Ice. 9. LPSY (Last Point of Supply) instead of revisiting the initial Supply area created at the start of the Trading Range, in this LPSY we are visiting the Supply area created near the bottom of the Trading Range. We should then enter the Mark Down phase as described at the start of this article. Redistribution is the Cause, Mark Down is the Effect. Examples & Links : It is important to note that Redistribution can appear as Distribution just like Accumulation as Reaccumulation as mentioned earlier, here is a example on ETHUSDT: Redistribution Schematic #1: ibb.co In this schematic, the UTAD is located at the end of the TR, showing trapped buyers. Redistribution Schematic #2: ibb.co In this schematic, the UTAD is located in the middle of the TR, showing trapped buyers. Example of Redistribution #1 Analysis (Press Play!): Example of Redistribution #2 Analysis (Press Play!): 5. Failure of Schematic : --------------------------------- Wyckoff based trades can also fail. It is also important to note that Wyckoff Schematics are not a guarantee, more so a system for you to analyse the market and know potential lower risk areas to position your trades. In this example below (Click+Press Play!) we can see that the Accumulation on BATUSDT did have a strong breakout, but never entered into a correct markup phase and then "failed" when the price came back inside of the TR (Trading Range): Nine Buying/Selling Tests: ----------------------------------------------------------- Whereas the three Wyckoff laws provide a big-picture foundation for the Wyckoff method, the nine buying and selling tests are a set of narrower, specific principles to help guide trade entry. These tests help delineate when a trading range is drawing to a close and a new uptrend (markup) or downtrend (markdown) is about to begin. In the book, by Hank Pruden, named "The Three Skills of Top Trading" , as well as the following article by Jack K Hutson the Nine Buying and Selling Tests of Wyckoff are discussed and outlayed similar to the above image: These nine tests can be difficult to understand, or even apply to your charts, so I have summarised them and modernised these tests for a purely candlestick chart and simplified point of view. Alot of analysts beforehand made use of P&F (Point & Figure Charts). At the top of your Tradingview chart, you can see a small icon, if you click it you can see the different types of charts available, we are currently on Candlesticks, Point & Figure is another option that was used for some Wyckoff Analysis, but in my simplified version we are just using Candlesticks: ibb.co Here are my simplified Buying & Selling Tests explained with images 1. Buying Tests : --------------------------------- I am using the chart of ZILUSDT as a example. Wyckoff Buying Tests for Accumulation (Simplified Version) 1. Downside price target complete or close to complete of any previous Bearish Patterns (Bear Flag Pattern used for Target Measurement: www.thepatternsite.com ) 2. PS, SC, and AR/ST on chart (Remember our first chart above, with Supply & Demand? ON the left we can see creation of the trading range with the Selling Climax (SC), Automatic Rally (AR), and Support Test (ST) we also covered this in the chart below (The 2nd below is showing that on ZILUSDT): 3. Bullish Signs (volume or price increases on rallies and diminishes during reactions) 4. Diagonal Resistance Broken 5. Higher lows & 6. Higher highs 7. Asset stronger than the market (more responsive on rallies and more resistant to reactions than the market index or other dominant assets) 8. Base forming (horizontal price line) (It can resemble a Flat Base Pattern: www.thepatternsite.com) 9. Estimated upside profit potential is at least three times the loss if the initial stop-loss were hit (Risk to Reward; 3:1) We can now see we have completed all 9 Buying Tests: And for the final images, we can see that ZIL has a massive upside move, moving to the Mark Up phase from our Buying Tests Analysis: Aswell as starting to complete a larger Accumulation #1 Structure as desribed above. 2. Selling Tests : --------------------------------- I am using the chart of XTZBTC as a example. If you missed it above, dont forget to see the original 9 Selling Tests: ibb.co Wyckoff Buying Tests for Distribution (Simplified Version) 1. Upside price objective complete of any previous Bullish Patterns on higher timeframes, or close to complete (Bull Flag Pattern used for Target Measurement: www.thepatternsite.com ) 2. Bearish Signs (volume decreases on rallies and increases on reactions) 3. Preliminary supply, buying climax (PSY, BC) We also covered this in the chart below (The 2nd below is showing that on XTZBTC): 4. Asset weaker than the market (more responsive than the market on reactions and sluggish on rallies) XTZ was a perfect example of Selling Test #4, as you can see it was much weaker than Bitcoin at the time, which was leading the market. 5. Diagonal Support Broken 6. Lower Highs & 7. Lower Lows 8. Crown forming (It can resemble a ugly Double Top Pattern: www.thepatternsite.com) 9. Estimated downside profit potential is at least three times the loss if the initial stop-loss were hit (Risk to Reward; 3:1), we have now completed all 9 Selling Tests! And for the final images, we can see that XTZBTC has a massive downside move, moving to the Mark Down phase from our Selling Tests Analysis: As well as starting to complete a larger Distribution #2 Structure as described above. Refer to your schematics above if your confused. Conclusion: ----------------------------------------------------------- Not only does the Wyckoff Method teach the novice Investor/Trader the techniques, foundations and methods needed to analyse the market, it also helps create a system and mindframe towards observing and timing the market, which allows the trader to be much more rationalised and organised in their train of thought as well as much more risk averse. By using the Wyckoff based analysis on Siacoin we can clearly see this token has potential for more upside, although we do need to be cautious as a significant pullback on Bitcoin could easily “Fail” the “Spring” action of the TR (Trading Range) in the original analysis image above. What would a successful accumulation breakout look like on Siacoin? Refer to the original chart at the start of the post. I have made a small drawing, describing the characteristics we need to see for this to progress further. You can use that drawing along with the next below to get a rough idea of what a successful breakout will look like, compare with the Accumulation Schematics you studied above. What would a failure of accumulation look like on Siacoin? I will give two examples: 1. Failure of Spring 2. Failure of Phase E (Uptrend) I hope you enjoyed my explanation of the Wyckoff Method - Thank you and if you found this writeup insightful, educational and informative don't forget to hit Subscribe, Like & Comment so others can also potentially see and benefit from this post, if you wish to see these concepts in action, I recommend visiting my signature as well. Other Resources & References: ----------------------------------------------------------- Websites: Wyckoff Analytics: wyckoffanalytics.com Wyckoff SMI: wyckoffsmi.com Videos: Wyckoff Youtube: www.youtube.com Wyckoff SMI Youtube: www.youtube.com Stockcharts.com Youtube: www.youtube.com (I didnt cover volume much in this article, check out the above video for a Volume Tutorial) Articles: school.stockcharts.com school.stockcharts.com school.stockcharts.com www.wyckoffanalytics.com www.wyckoffanalytics.com Magazine of Wall Street Database: (Founded by Wyckoff) shorturl.at Books: www.amazon.com www.amazon.com References: en.wikipedia.org school.stockcharts.com
SEducation
by Worth_The_Ri5k
22
What are Supply and Demand Zones and How to Trade with Them?What are Supply and Demand Zones? ▷ Demand Zone (Accumulation Area): Accumulation comes from a Latin word meaning to increase something over time. A strong uptrend can only exist if buyers outnumber sellers. During a trend, price moves up until enough sellers enter the market to absorb the buy orders. The origin of strong bullish trends is called an accumulation or a demand zone. Demand Zone is where traders are willing to buy aggressively because the balance has shifted to the demand side. Here, buyers are dominant and sellers weak. The demand zone represents a period of implicit buying, typically by institutional buyers, while the price remains fairly stable. This area is characterized by mostly sideways price movement. Before a trend starts, price stays in an demand zone until the “big players” have accumulated their positions and then drive price higher. This can be contrasted with the Supply Zone, where institutional investors start to sell. ▷ Supply Zone (Distribution Area): Bearish trends are created when sellers outnumber buy orders. Then, price falls until a new balance is created and buyers become interested again. The origin of a bearish trend wave is called a distribution or a supply zone. At Supply Zone traders are willing to sell aggressively because the balance has shifted to the distribution side. Here, sellers are dominant and buyers are weak. Support and Resistance Levels vs. Zones If you have an idea of how to trade with support and resistance zones, you might find supply and demand zones very similar. You won’t be mistaken; Supply and demand zones are natural support and resistance levels. You’ll often find supply and demand zones just below/above support and resistance levels. Types of Supply And Demand Patterns There are two types of patterns: “Reversal” and “Continuation” patterns. While a pattern is forming, there is no way to tell whether the trend will continue or reverse. As such, careful attention should be paid to whether the price breaks above or below the zone. ▷ Continuation Patterns If price continues on its trend, the pattern is known as a continuation pattern. We have two continuation patterns: “Rally-Base_Rally” and “Drop-Base-Drop” ▷ Reversal Patterns When price reverses after a pause, the pattern is known as a reversal pattern. The established trend will pause and then head in a new direction as new energy emerges from the other side (bull or bear). Reversals that occur at market tops are known as distribution patterns. Conversely, reversals that occur at market bottoms are known as accumulation patterns. We have two reversal patterns: “Rally-Base_Drop” and “Drop-Base-Rally” How to Find Supply and Demand Zones? On a price chart, the demand zone is characterized by sideways price movement on above-average volume. When a stock price doesn't fall below a certain price level, and moves in a sideways range for an extended period, this can be an indication to investors that the stock is being accumulated by investors and as a result, will be moving up soon. The demand and supply zones are encompassing the base on the beginning of the move. The most important thing is to first finding a sharp move in either direction, after which you can identify its starting point and roughly define the supply or demand zone: • Look at the chart and try to spot successive large candles. • Find the base from which price started the quick move. Usually, before that you have a small sideways move, that is where your supply / demand zone is. • Draw the zone It is very hard to be precise with those levels and here it is more of an art than science. To make it easier to identify these levels, you can use another tool for confirmation. How to Trade with Them? One way to trade with supply and demand areas is reversal trading. After identifying a previous strong market reversal, wait for the price to return to that area. If a false breakout occurs, the chance of seeing a successful reversal is extremely high. Some candlestick patterns such as "Engulfing", "Pin Bar" and "Tweezer Blades" can help you identify trend reversals. Be careful, trading in the opposite direction of the trend is very risky. Technical analysts typically recommend assuming a trend will continue until it is confirmed that it has reversed. Trend reversal trading can be a profitable way to trade the markets. However, like any other trading strategy, there is a correct and a wrong way to do it. Pros and Cons Being able to recognize whether an asset is in the demand zone or the supply zone is helpful to investing success. Demand Zone is the origin of a big rally in price. Identifying this area could help investors spot good entry points into an investment before its price begins to rise. Once the price leaves an demand zone, not all buyers got a fill and open interest still exists at that level. Supply and demand traders can use this knowledge to identify high probability price reaction zones. As with anything else, supply and demand zones have their cons, as well. Understanding chart movements such as those seen in the accumulation area can work well during times of relative stability. Still, prudent investors know to pay attention to larger economic events that can quickly reconfigure charts (like the covid-19 epidemic) Key Points • Accumulation / Re-accumulation zones can becomes distribution/Re-distribution zones over a period in the Stock Market • The narrower a supply/demand zone before a strong breakout is, the better the chances for a good reaction the next time typically. • Good supply and demand zones are quite narrow and do not hold too long, which shows strong imbalance between buyers and sellers. • The stronger the breakout, the better the demand zone and the more open interest will usually still exist. • Always look for extremely strong turning points. They are often high probability price levels. • Each time the price re-tests a supply/demand zone, more and more previously unfilled orders are filled and the level is continually weakened. Conclusions Supply and Demand Zones are a great way to identify areas of buying and selling as well as support and resistance, but they work best when combined with other kinds of technical analysis.
BITSTAMP:BTCUSDEducation
by BobRivera990
8
EUR/GBP has a bearish possible scenarioWell, this is very easy the technical analuysis, the price has in range of distribution of the market nd are consolidated, and well, this is a great opportunity to earn a lot pip in this par, wll, as we see the situation of Brexit, this has make thsi par very sensitive their movement of the Eurozone and U.K., But, there are not range, but we have in the distributtion zone of this par. But, well, there are opportunity, The most strategy to opperate in this range is in Daily timeframe, because the Daily timeframe is in the range of distributtion.
Education
by harisonhbn9718
Wyckoff`s distribution schematicA perfect example of Wyckoff`s distribution schematic, which indicates a potential double bottom for bitcoin . ........................................................ PSY : preliminary supply. BC : buying climax. ST : secondary test. SOW : sign of weakness. LPSY : last point of supply. UTAD : upthrust after distribution. ..................................................... Therefore I believe that there is no reason to be bullish about Bitcoin in the immediate short-term. Long-term!? of course, but for now not so much. cheers
GEMINI:BTCUSDEducation
by AhMoF
6
Improved Version : How Do "Whales" Trade ? CAUTION : EXPERIMENTAL Hello friends. Whale trading system has been developed and placed on a more reasonable ground. So this publication is an improved version of the educational idea : How do "Whales" Trade? Before Starting In related ideas, you can see the first version and the script I used to create this idea. And there is an intermediate version that shows the logic after separating the bull - bear zones. RULES First of all, there is absolutely no short position to reduce the risk of this system. Negative regions are sales regions. (Not short position) Position sizes are shown in the presentation.We split our capital 100 . (Or you can accept your entire position size 100.) We certainly don't try with all our capital. It can be tested with reasonable capital allocated for instruments. At each change of region, we dispose or purchase all of our position size. And the values in the presentation are our graded position amounts . Now that we've benefited from regional changes, I found 10 levels reasonable. Let's write our position sizes here too : STAKES Pos Size 1 : % 0.4329 Pos Size 2 : % 0.8658 Pos Size 3 : % 1.2987 Pos Size 4 : % 2.1645 Pos Size 5 : % 3.4632 Pos Size 6 : % 5.6277 Pos Size 7 : % 9.1 Pos Size 8 : % 14.719 Pos Size 9 : % 23.81 Pos Size 10 :% 38.52 Note : Position size ratios are formed by coefficients based on gold ratio to provide a logical example. Let us now examine the region from January 22, 2018 to August 26, 2019. I'm doing trade and distributional trades for 1 bar after eye decision and signals to be fair. TRADES AND TRICKS After the sell order arrives on January 22, we wait until distributional buying points arrive. First distributional Buy Signal was on 7 May 2018 (close ) , so it means : Our first Distributional Buy was between 7 - 14 May 2018. Let's start : Distributional Buys : 1.Buy : 8572.5 Position Size : %0.4329 2.Buy : 7847 Position Size : %0.8658 3.Buy : 7456.5 Position Size : %1.2987 4.Buy : 6563.5 Position Size : %2.1645 5.Buy : 6786.5 ==> Rejected , because price is higher than last Buy. 5.Buy : 6507.5 Position Size : % 3.4632 6.Buy : 6396 Position Size : % 5.6277 7.Buy : 5837.5 Position Size : %9.1 8.Buy : 3940 Position Size : %14.719 9.Buy : NET Long Signal : 3493.5 Position Size : The Rest ==> (100 - All) = %62.328 Distributional Sells 1.Sell : 10919 Position Size : %0.4329 (May be higher than the amount of earnings. For example : % 25 Here we are improvising according to obligatory market conditions. I wrote the first rate in order to follow the example rule, but I would sell between 25% and 40% in live trade. Because the profit is too high.) 2.Sell : 10146 Position Size : %0.8658 ( Normally I shouldn't have sold it because it was lower than the first sale. But the profit is still very high, but it is decreasing, so I sell. A much higher quantity can be sold here, as is the same on the top. I'm writing the next rate to keep the rule.) 3. Sell : 11376 Position Size : % 60 ( Now profitability is at its peak , I ignore the stake rules and going to improvise. Instead, the first 3 - distributional sales: 10% - 20% - 40% with values such as making it much more reasonable.) 4.Sell : NET Sell Signal : 9970.5 Position Size : The Rest ==> (100 - All) = %38.8 Note : I could have gone a lot more profitable than my earnings, but to avoid stretching the template, I applied the first 2 ratios. A professional could have been more profitable here: Example: 40 - 60 and close. So I'm going to calculate these rates. CALCULATIONS ( For 100 unit = Full Position Size ) Average Cost : (8572.5 * 0.4329 + 7847 * 0.8658 + 7456.5 * 1.2987 + 6563.5 * 2.1645 + 6507.5 * 3.4632 + 6396 * 5.6277 + 5837.5 * 9.1 + 3940 * 14.719 + 3493.5 * 62.238) / 100 = (3711.04 + 6793.93 + 9683.76 + 14206.7 + 22536.8 + 35994.77 + 53121.25 + 57992.9 + 217428.5 ) / 100 Average Cost = 4215 Average Sell : (10919 * 0.4329 + 10146 * 0.8658 + 11376 * 60 + 9970.5 * 38.8 ) / 100 = (4726.84 + 8784.41 + 682560 + 386855.4) / 100 Average Sell Price = 10829.27 SUMMARY Percentage of net earnings per unit (Full Position Size): ((10829.27 - 4215 ) / 4215) * 100 = %156.92 In doing so, commercials provided liquidity to the markets and did not have the problem of not finding buyers. Stoploss here means emptying the whole position, for me 4 bars means stoploss in all directions. More importantly, increasing rates will not harm us in non-trend areas. Because we start with low rates. Although comments and improvisation are very important, I tried to explain the system outlines by linking them to certain rules. Now we have gone more systematically than the first version !
BITMEX:BTCUSD.PEducation
by Noldo
4
The Importance of Distributional MovementsWe identified trade zones. Now I'm going to look at how far the distributional buying and selling points are. The same logic applies to the short position. We can set a stable stop-loss and exit position before waiting trade zone change. I have a good idea of position size, but what is difficult is how many distributional orders come in a trade cycle. I will determine them by looking a lot of samples and will find out optimum distributional ratios. Once i have identified them, i will be presenting you with a new idea, and it will be the highest level of this series. Regards.
OANDA:XAUUSDEducation
by Noldo
How Do 'Whales' Trade ? Hey! Now calm down and erase all of your coffee fortune-telling stories, throw the pump and dump signals you've been waiting for! You can only draw trend lines and long-term channels. If you're still not mad at me, we're starting now ! Trade is a relative concept and the buyer meets the seller relatively. Therefore, trendlines and channels can provide little information about trendlines in relatively time-dependent breaks. I am not a licensed broker at first, but I spent a lot of time in the CFTC and COT section, especially in interpreting Commercial positions with all other relative indicators and volume. The so-called concept of the whales in recent times is actually producers and owners of large official capital. They have to divide the amount of sales they find in their sales because the positions they carry are huge. While the price is falling while buying, they have to make gradually while the price is rising. Or they will not find buyers for their goods. Now we will consider a trade cycle with reasonable figures in the figures you see in the picture. We are doing it first bar after signal with average price as real trade : Example Rule : Our position size : Last block * 1.5 Distributional Buy Blocks : 1.Buy point = 1298.3 ( Position size = %1 ) 2.Buy point = 1214.1 (Position size = %1.5 ) 3.Buy point = 1194.5 (Position size = %2.25 ) 4.Buy point = 1193.1 (Position size = %3.375 ) Cost = (1298.3 * 1 + 1214.1 * 1.5 + 1194.5 * 2.25 + 1193.1 * 3.375) / 8.125 = 1210.4 Distributional Sell Blocks : Example Rule : Let's divide our sales into same levels according to our expectations. But in risky places that we think to be a definite negative trend, let's definitely empty our position and not carry a position. If the negative trend came after the first sale, then let's clear it all. All experts draw channels and trends for this. (I started using my high-end system, but channels and trend lines are still important, because I think everything that shows relativity in trade is very important! ) Our buy levels was 4 and sum of ratios = 8.125 1. Sell block = 1 / 8.125 = %12.3 2. Sell block = 1.5/ 8.125 = %18.46 3. Sell block = 2.25 / 8.125 = %27.69 4. Sell block = 100 - (1.sell block + 2.sell block + 3. sell block ) = 41.55 Finally : Sell Points 1. Sell point = 1223.923 (3 consecutive purchases were shortened in one buy , If I had sold 3 times in a row, my wife would have been much higher because the rate would have increased in the hills, but the sample would have been too long.Although I use a very successful system, I divide it into 10 and I empty all of them in the definite negative trend.You may divide by 15 or 20 with distributional buy too or decrease dist ratio.Here you can not sell anywhere in the whole position can be seen when you see the negative signs, I do not prefer only as a stoploss I use this last safety.) 2. Sell point = 1243.57 3. Sell point = 1285.67 4. Sell point = 1310.93 Average sell point : (1223.923 * 12.3 + 1243.57 * 18.46 + 1285.67 * 27.69 + 1310.93 * 41.55 ) / 100 = 1280.798 RESULTS : Net profit = ((1280.798 - 1210.4) / 1210.4) * 100 = 5.816 As a result, our senior investor has already increased per unit 5.8 percent in a short time. In doing so, commercials provided liquidity to the markets and did not have the problem of not finding buyers. Stoploss here means emptying the whole position, for me 4 bars means stoploss in all directions. I will adjust the rates and use it in real ideas and real trade. Stay tuned! Noldo.
OANDA:XAUUSDEducation
by Noldo
7
KO Earnings: Dark Pool Rotation vs. BuybacksCoca Cola has been in a major buyback mode for its stock in an attempt to move the price up. The buybacks have faced heavier than normal Dark Pool rotation (large lot selling) against the automated buyback orders. Recently the buybacks have increased, creating some interesting anomalies in the large lot indicators as well as in price patterns. Retail traders, who trade this stock heavily, are often fooled by buyback candlestick patterns. Institutional holdings has declined, which is unusual during a buyback mode.
NYSE:KOEducation
by MarthaStokesCMT-TechniTrader
Emotional retail traders and the precarious nature of shortsGood morning, traders. It is Wednesday and CBOE Bitcoin futures expire today. Will this result in a jump of price? There is a strong narrative suggesting exactly that possibility as shorts continue to rise parabolically, quickly closing in their all time high and bringing with them a shorts-to-long ratio of 1.4251 currently. This ratio hasn't been seen since November 2017 and yet shorts continue to pile on providing us with a clear view of retail trader emotional entries into the market. Watching tucsky.github.io play us the same story over and again: price jumps up, retail traders attempt to "short the top," price moves $40 higher and those positions are liquidated. Over-leveraged, under-capitalized emotional trading will get you rekt, so make sure you aren't doing the same. If you missed last night's live stream, I also took a quick look at ETH, XRP, and ETC. Overnight we saw a move up to $6483 (the lower TF pivot) before a bit of retracement. A push up through this pivot would be a bullish indicator, at least on the lower TFs and we should then expect price to target the R1 pivot. Looking at TensorCharts.com, we can see strong resistance building up at $6480, $6650, and $6700 at this time. We should see short squeezes occurring as price pushes through these levels. We have some support building around $6220 but not much else at this time. The perfect storm mentioned above has been building and the expiration of the CBOE futures today could be the catalyst that sends things into motion. We will have to wait and see. Until then, price appears to be printing a bullish pennant on the 1H chart. If it completes successfully, then we can expect an initial target of the $7000 level which is the R1 pivot, and if we are seeing that kind of price level, the bias should be continued upward momentum. Remember, a breach of $8500 prints another higher high thereby increasing the bullishness. However, we could see price contained by the $6800 block prior to reaching that target. As always, we want to watch volume and price action. Volume increasing as price rises is a strong bullish indicator which appears to be ignored lately by the emotional retail crowd expecting a drop below $5000 and subsequent repeat of 2014. While there are no guarantees in trading, I choose to give much more weight to such an agreement between volume and price action than anything else, especially right now. Daily Stoch RSI is finally making a push out of the oversold area as RSI is testing its own resistance at 42. Daily MACD has noted resistance around 430 on its last two highs, but is also printing a higher low suggesting momentum is building toward a breach of that resistance. It's my belief that if we see MACD printing a higher high, then it will suggest that we are in a bull market. The 3D MACD has printed consistent higher highs and lows since its low point around April 7th, but remains below centerline at this time. Weekly Stoch RSI is printing higher highs and lows and its MACD found its bottom, so far, during the week of July 9th. A strong weekly candle here, and potentially next week, should see a bullish cross on that TF's MACD. The 3D and weekly candles look amazing at the moment, however there is still much time left for the latter and anything can happen before it closes. But if they both close at or near their current states then it creates significant bullishness on much larger TFs and the expectation should then be a likely test of the recent high at $8500. As such, they should be watched closely. CME Bitcoin futures expire at the end of the month, so traders should be paying attention to that as well. We continue to monitor the lower levels noted on the 1H chart in case of a price drop. Realistically, I expect price to target the $6800 box and then drop down toward ~$6200 before pushing back up once more and breaching that box. However, the precarious nature of the shorts right now could catapult price through that
BITFINEX:BTCUSDEducation
by Chris_Inks
10