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#XAU #XAUUSD #GOLD #DUMP #SOON #Distribution #Wychoff #Eddy#XAU #XAUUSD #GOLD #DUMP #SOON #Distribution #Schematic #1 : #Wychoff #Events & #Phases #Wychoff #Eddy ((" I have analyzed gold for you with a combination of Price Action + S&D + RTM + ICT + Volume Trading, Level 2/3 Book Map, Dow Theory + Wyckoff Schematic &... Please Dont forgot boost and comment, i will answer all comments. ")) By : Dr. #Eddy SunShine 👨🏻‍💻 1/18/2024 ❤️ "Thank you to #TradingView for making this extremely useful platform and also for providing this social space to publicize the charts and all the interesting features it has." Love you ❤️ #Eddy
FXOPEN:XAUUSD
by Eddy_Trade_
3
Bitcoin Distribution I aim to articulate the discernible trends depicted on the chart. Numerous trendlines can be observed in the historical movement of Bitcoin, with a notable convergence anticipated within the green-highlighted zones by 2024. I anticipate the current distribution pattern to undergo a resolution downward, culminating in the formation of a plateau. This plateau may signify a potential period of financial relaxation in the near future. Noteworthy points include the outcomes of yesterday's closed meeting with the leaders of BTC ETFs, which did not yield substantial price movements in an upward direction. Volatility, indicating a more accelerated position, leads me to consider the first two weeks of 2024 as a critical timeframe for resolution.
COINBASE:BTCUSDShort
by dicetrade
GBPUSDAs a student in the financial markets, learning about the market is interesting and it's a long journey to begin with. GBPUSD having a accumulation, manipulation and now waiting for a distribution. Will GBPUSD make a move early next year along side with USA rate cuts? Let's see what year 2024 lead us to I don't post much as I'm not a signal provider nor a financial advisor. But one thing is that learning how the market behaviour, reactions and structure, it's simply interesting to me. If you have any thoughts on GBPUSD, let me know down the comment area, let's discuss about it. This will be my last post and trade of the year 2023 holding it till next year 2024. Wishing you guys out there trade safe and happy new 2024.
Long
by Student_of_Forex
2
YFI Huge Fakeout ! Yearn Finance (YFI) has orchestrated a strategic move, executing a feigned breakout from a descending triangle—a bullish pattern that saw a swift sweep of the $14,000 level. In this analysis, we unravel the narrative behind YFI's tactical retreat, its implications, and the anticipated journey back into accumulation. Chart Analysis: The Intricate Dance of YFI YFI's recent price action presents a nuanced storyline on the charts, characterized by a false breakout and a subsequent retreat into a potential accumulation zone. Key Observations: Feigned Breakout from Descending Triangle: YFI exhibited a false breakout from the descending triangle, creating an illusion of bearish momentum. The rapid sweep of the $14,000 level marked a calculated move to trigger liquidity. Retreat into Accumulation: Following the feigned breakout, YFI is retracing back into what appears to be an accumulation zone. Accumulation zones are often strategic areas where institutions and savvy traders gather positions. Critical Levels: YFI's Recharge at $14,000 Strategic Retreat and Accumulation: The retreat from the false breakout aims to accumulate positions at a key level. $14,000 emerges as a critical zone for replenishing liquidity and preparing for the next move. Potential Scenarios: YFI's Journey Back to Prominence Accumulation and Strategic Reentry: The retreat into the accumulation zone sets the stage for strategic reentry. Savvy traders may position themselves within this zone, anticipating a renewed bullish surge. False Breakout as a Tactical Move: YFI's false breakout could be interpreted as a tactical move to shake out weak hands. The subsequent accumulation phase may serve as preparation for a more sustained bullish advance. Trading Strategy: Navigating YFI's Tactical Landscape For traders considering YFI in their strategy: Accumulation Zone Entry: Assess entry opportunities within the identified accumulation zone. Monitoring $14,000 Level: Keep a close eye on the $14,000 level for potential confirmation of strategic moves. Risk Management: Implement risk management strategies to navigate the inherent volatility. Conclusion: YFI's Strategic Maneuver and the Road Ahead As YFI retraces from its feigned breakout, the narrative suggests a strategic accumulation phase underway. Traders are poised for potential bullish movements as YFI recharges at the $14,000 level, highlighting the intricate dance between feints and strategic positioning in the crypto arena. 🚀 YFI Analysis | 🛡️ False Breakout Tactics | 🔄 Retreat into Accumulation ❗See related ideas below❗ Share your insights and analyses on YFI's tactical retreat in the comments, contributing to the collective intelligence of the crypto community. The journey through false breakouts and strategic retreats adds layers of complexity to the YFI saga. 🌐📈🚀
Long
by Yaroslav_Krasko
NQ Power Range Report with FIB Ext - 11/30/2023 SessionCME_MINI:NQZ2023 - PR High: 16050.25 - PR Low: 16037.00 - NZ Spread: 29.75 Key economic events 08:30 | Core PCE Price Index (x2) - Initial Jobless Claims 10:00 | Pending Home Sales Another day of virtually no change - Maintaining weekly range - Failed breakout attempt above 16180 supply zone Evening Stats (As of 1:55 AM) - Weekend Gap: N/A - Gap 10/30 +0.47% (open < 14272) - Session Open ATR: 200.87 - Volume: 28K - Open Int: 280K - Trend Grade: Neutral - From ATH: -4.2% (Rounded) Key Levels (Rounded - Think of these as ranges) - Long: 15247 - Mid: 14675 - Short: 13531 Keep in mind this is not speculation or a prediction. Only a report of the Power Range with Fib extensions for target hunting. Do your DD! You determine your risk tolerance. You are fully capable of making your own decisions.
CME_MINI:NQZ2023Long
by mv3trader5
🔥 Bitcoin In Wyckoff Distribution: Top Is In?Over the last couple of week's I've been very bullish on the market. My 40.000 thesis for this year is still my personal most likely scenario, but that doesn't mean that we can't look at the market from a more bearish perspective. So, in this analysis I want to take a look at a bearish Bitcoin scenario that might be playing out at the moment. Bitcoin might be trading in a Wyckoff distribution pattern. As seen on the chart, the BC/UT/UTAD are nearly identical as on the schematic. Three higher-highs, of which the first two are sold off quickly, and the last (UTAD) took a while before it turned bearish. AR and SOW are also fairly identical to the schematic. Difference is that we had two retests of the AR-low between UT and UTAD. In the end, the schematic is just a schematic and the market will rarely follow it exactly. I'm interpreting it more as a guideline instead of an exact science. Were this pattern to play out, Bitcoin will likely retest the SOW area in the near future, and likely fall through the SOW support. This would also mean that 38.4k is the 2023 top, with a move towards 30.000$ being fairly likely. Like mentioned before, I'm still bullish on the market. However, it's important to spot bearish signs when they are there. The fact that we had three higher-highs which were all sold off is alarming at the very least. Time will tell if this pattern will play out. For now, keep your eyes open and be watchful. Share your thoughts in the comments, interested to see what the community thinks of this pattern.🙏
Short
by FieryTrading
30
TVK: Accumulation Manipulation and Distribution to $0.16Exciting developments in the crypto space as TVK (ThetaFuel) follows a trajectory similar to LINK, experiencing a prolonged accumulation phase within a range. The recent shakeout below the range, swiftly followed by a sharp recovery back within, sets the stage for a potential upward move. Anticipating a retest at the 0.5 imbalance level around $0.036, with the first target set at $0.16. Let's delve into the details. 📈💼 TVK's Accumulation Breakout: Range-Bound Accumulation: TVK has undergone an extended period of accumulation within a defined range, resembling the scenario observed with LINK. Shakeout and Recovery: A recent shakeout below the range swiftly followed by a sharp recovery back within signals a potential accumulation breakout, reminiscent of LINK's historical movements. Key Price Levels: Retest at $0.036: Anticipating a retest at the 0.5 imbalance level around $0.036. This level serves as a critical point to observe for confirmation of the bullish momentum. First Target: $0.16: Upon successful retest and confirmation, the first target is set at $0.16. Achieving and sustaining this level could pave the way for further upward momentum. Trading Strategy: Observing Retest: Patiently observe the retest at $0.036, ensuring it aligns with supportive price action and volume for confirmation. Strategic Entry: Consider strategic entry points based on the confirmed retest, aligning with your risk tolerance and trading strategy. Risk Management: Implement risk management tools such as stop-loss orders to mitigate potential downside risks. Conclusion: TVK's accumulation breakout, resembling the pattern seen with LINK, presents an exciting opportunity for traders. A retest at $0.036 followed by a potential rally to $0.16 is on the horizon, offering a dynamic landscape for crypto enthusiasts. Wishing you successful trades on the TVK journey! ❗️Get my 3 crypto trading indicators for FREE! Link below🔑
T
by AlexWhale
Go woke go broke? - Anheuser Busch From a technical perspective, Anheuser-Busch InBev (AB InBev) presents an attractive opportunity due to a substantial drawdown of over 20% since April, attributed to a perceived shift toward 'wokeness.' This phenomenon, commonly expressed as "go woke go broke," often reflects boycotts against companies embracing diversity, equity, and inclusion, or, in AB InBev's case, partnering with transgender influencers. However, this negative sentiment has potentially led to AB InBev being undervalued. The uniqueness of this situation lies in AB InBev's diverse brand portfolio. Many of its brands are not immediately associated with the company, and while certain recognizable ones may face boycotts, the other brands continue to thrive. Notably, several of these brands hold higher market values than the more affordable ones that have been boycotted, which suggests that this strategic diversity could benefit the company. Additionally, as the outrage associated with 'wokeness' appears to be subsiding, AB InBev may find itself in a more favorable market position. Furthermore, in times of economic uncertainty or conflict, consumer demand for alcoholic beverages typically increases, and AB InBev's comprehensive product range positions it well to meet this potential surge in demand. Price Levels: Strong Support: $49.80 First Resistance $59.90 Target 1: $65.80 Target 2: $88.93 Long-Term Target: $106.00
NYSE:BUDLong
by Helios_Capital_Investment
📈 Ethereum's Wyckoff Accumulation 📈Understanding Wyckoff Patterns: A Brief Overview Richard D. Wyckoff's trading methodologies have stood the test of time. These patterns are characterized by phases of accumulation, manipulation, and distribution. Ethereum's 4H Chart: A Wyckoff Tale On Ethereum's 4H chart, we see signs of accumulation, where smart money starts buying. The next phase could be marked by manipulation, with price swings often seen as tests. Following this, distribution may occur as the price rises to a certain level. The Anticipated Outcome: A Bullish Move Wyckoff patterns often conclude with a bullish move. Traders are eyeing this setup for a potential uptrend in Ethereum's price. Trading Strategy: Navigating the Wyckoff Path Traders may consider entering or adding to positions during accumulation. Caution is advised during the manipulation phase, as price swings can be volatile. Distribution may be a signal for some traders to take profits. Conclusion: Wyckoff Wisdom on Ethereum's Journey Understanding chart patterns like Wyckoff can provide valuable insights into market dynamics. Ethereum's 4H chart currently reflects this classic pattern. While it suggests potential upward movement, traders should always exercise caution and use risk management strategies. Crypto markets are known for their volatility, so stay informed, adapt to changing conditions, and trade wisely. As we watch Ethereum's Wyckoff-style journey unfold, remember that trading is both an art and a science, and every move should be calculated. 📊🚀🌐 ❗See related ideas below❗ Don't forget to like, share, and leave your thoughts in the comments! 💚🚀💚
Long
by Yaroslav_Krasko
1
XRP Bull Breaker - Alternate View By Popular Request (5:1 Short)My most popular idea by far, with over 70 comments in half as many hours, is this one, which I've revised in order to show the Trend Exhaustion details w/in the AVWAP Array on the 1D chart. Again, if you are a long term Bull, you won’t like it, and yet since I operate by the Steel Man principle, I welcome your toughest questions and chart-based counter-arguments. As I always, I strive to render my ideas so that I need no words to explain them, although I can (and do) write detailed paragraphs (elsewhere). Anyways, in the medium term, I expect price to fall to the $0.3785 shown here, which also marks the Point-of-Control from the last major swing low. Price Action already tested the positive 3rd Standard Deviation of the AVWAP from the same reference point, as shown, and will, by degrees, retest the negative 2nd Standard deviation below (+/- $0.22 USD as of this writing). The stop loss shown here is discretionary and conservative, and should be revised for current conditions if you are considering a short trade. Closer study on lower timeframes may reveal a better entry or stop loss as the chart unfolds over time. Hopefully this version clarifies a few details for the confused. In practice, the Trend Exhaustion Wedge reveals stop loss and profit targets for day traders on the lowest time frames (minutes, even seconds), which are, by nature, moving targets on any given day. The AWVAP Array, on the other hand, is dynamic, and prints according to the timeframe, unlike the trend lines. I intend to start live-streaming soon, so feel free to ask questions if you have any. Critical thinkers only ... XRP-Trolls need not apply. Until then, be liquid!
BINANCE:XRPUSDShort
by TheLeadingIndicator
13
XRP Bull Breaker - 7.77:1 Short + Longterm ForecastI just finished a complete overhaul of my XRPUSD chart, a portion of which is on display here in order to publish my medium and long range forecasts for this most “distributive” of digital assets. If you are a long term Bull, you won’t like it, and yet since I operate by the Steel Man principle, I welcome your toughest questions and chart-based counter-arguments. As I always, I strive to render my ideas so that I need no words to explain them, although I can (and do) write detailed paragraphs (elsewhere). Anyways, in the short term, I expect price to fall below the $0.3785 shown here (purely for the 7.77 R-Value) down to ~ $0.34, then to ~ $0.28 in the medium term and finally to ~ $0.22 at or near the next BTC Halving event. From there your eye leads up to the Trend Exhaustion Limit and retraces until the end of 2025. Three years later, if my forecast is correct, there will be a final speculative peak, after which price should level off to some stable range of intrinsic value of ~ $5.89 throughout the next decade. Obviously, this chart is not tradable, per se, and serves instead as an an introduction and reference point for lower timeframe ideas and videos I intend to publish. The complete chart has many granular details for targeting stop losses, and new details will be constantly updated (and erased) as price action unfolds. Until then, be liquid!
BINANCE:XRPUSDShort
by TheLeadingIndicator
92
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