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GOLD SHOWING WEAKNESS, MAY LIKELY BE A SELL...A gold bullish rally into the highlighted area followed by another rejection will likely see gold declining towards 2500 in coming days. However, a close above 2720 will indicate gold's readiness to continue its bullish run. N.B! - XAUUSD price might not follow the drawn lines . Actual price movements may likely differ from the forecast. - Let emotions and sentiments work for you - ALWAYS Use Proper Risk Management In Your Trades #gold #xauusd
OANDA:XAUUSDShort
by BullBearMkt
Is Ethereum Poised to Reach $5,000? Analyzing Its Fractal JourneEthereum's Fractal Journey Towards $5,000: A Deep Dive The Fractal Nature of Crypto Markets The cryptocurrency market, much like any other financial market, is subject to cyclical patterns. These patterns, often referred to as fractals, are repeating structures that occur at different scales. Identifying and understanding these fractal patterns can provide valuable insights into future price movements. Ethereum's Fractal Alignment with Bitcoin and XRP Recently, Ethereum (ETH) has exhibited a remarkable price surge, aligning with similar fractal patterns observed in Bitcoin (BTC) and XRP (XRP). Bitcoin's Influence on Ethereum Bitcoin, often considered the "digital gold," has historically been a significant driver of the broader cryptocurrency market. As Bitcoin ascends to new heights, it often pulls other cryptocurrencies, including Ethereum, along with it. • Correlation and Co-movement: Bitcoin and Ethereum have shown a strong correlation in recent years, especially during bull markets. As Bitcoin's price increases, it can lead to increased investor interest in Ethereum and other altcoins, driving their prices higher. • Market Sentiment and FOMO: Bitcoin's bullish momentum can create a positive market sentiment, attracting new investors to the cryptocurrency space. This influx of new capital can fuel demand for Ethereum and other altcoins, pushing their prices higher. • Ethereum's Fractal Alignment with XRP A fascinating development in the cryptocurrency market is the emerging fractal pattern between Ethereum and XRP. Both cryptocurrencies have recently broken out of similar symmetrical triangle patterns. • Symmetrical Triangle Pattern: This technical analysis pattern often indicates a period of consolidation before a significant price movement. Once the price breaks out of the triangle, it can lead to a substantial price increase or decrease. • XRP's 390% Rally: XRP experienced a remarkable 390% rally after breaking out of a symmetrical triangle pattern. This historical precedent suggests that Ethereum could follow a similar trajectory, potentially leading to a significant price surge. • BlackRock's ETH ETF: A Catalyst for Growth BlackRock, one of the world's largest asset management firms, recently filed for an Ethereum ETF. This move has the potential to significantly impact the price of Ethereum. • Institutional Adoption: BlackRock's entry into the Ethereum market could attract more institutional investors to the cryptocurrency. This increased institutional interest can lead to higher demand for Ethereum, driving its price higher. • Increased Liquidity: BlackRock's Ethereum ETF could increase the liquidity of Ethereum, making it easier for investors to buy and sell the cryptocurrency. Increased liquidity can help to stabilize the price of Ethereum and reduce volatility. Ethereum's Potential Price Target: $5,000 Based on the aforementioned factors, including the fractal patterns, Bitcoin's influence, XRP's recent rally, and BlackRock's ETH ETF, it's not unreasonable to speculate that Ethereum could reach a price target of $5,000 in the near future. However, it's important to note that the cryptocurrency market is highly volatile, and price predictions should be taken with a grain of salt. A variety of factors, including global economic conditions, regulatory developments, and technological advancements, can impact the price of Ethereum. Technical Analysis: A Deeper Dive To gain a more comprehensive understanding of Ethereum's potential price movement, it's essential to delve deeper into technical analysis. • Relative Strength Index (RSI): The RSI is a momentum oscillator that measures the speed and change of price movements. A high RSI reading (above 70) indicates that the asset is overbought, while a low reading (below 30) indicates that it is oversold. • Moving Averages: Moving averages are trend-following indicators that smooth out price data over a specific period. A popular moving average combination is the 50-day and 200-day moving average. A bullish crossover occurs when the 50-day moving average crosses above the 200-day moving average, indicating a potential uptrend. • Support and Resistance Levels: Support and resistance levels are price levels where the price of an asset has historically struggled to break through. These levels can provide valuable insights into potential price targets and reversal points. • By combining technical analysis with fundamental analysis, investors can make more informed decisions about investing in Ethereum. Conclusion Ethereum's recent price surge, coupled with the emerging fractal patterns and the influence of Bitcoin and XRP, suggests that the cryptocurrency has the potential to reach significant price targets. However, it's important to approach investing in cryptocurrencies with caution and conduct thorough research. As the cryptocurrency market continues to evolve, it's essential to stay informed about the latest trends and developments.
COINBASE:ETHUSDLong
by bryandowningqln
NVIDIA: All Fractal Patterns - You decide the directionPatterns create a framework for understanding market behavior, helping you organize chaotic price action into more predictable structures. In this report I'm prepared to go through most Patterns I can spot across NVIDIA Chart to be able to interpret bigger emerging picture. REGULARITIES "Think not of what you see, but what it took to produce what you see." ~ Benoit Mandelbrot Fractal Cyclicality Sub-cycles are smaller composite cycles recurring within larger ones, showing periodic patterns of price oscillations that collectively shape the rhythm of the full cycle. In NVIDIA's chart, these sub-cycles typically consist of three final peaks, each representing the market's effort to sustain bullish momentum while gradually approaching a point of inevitable bullish exhaustion. The peak of the 3rd composite sub-cycle is critical decision-making period for bulls, indicating last chances for the profitable exit points before major trend reversals take hold. Fractal Validation Through Scaling This particular fractal, starting from 2015, caught my attention due to its consistency and proportional alignment with the current market cycle. According to EW, fractal matches really well from 1 to 4 wave. The 5th wave, being too prolonged. Either it played out faster because oh higher frequency of reversals. Assessing: Expansion with observed part of pattern Final Peaks Scaled with derived top of cycle: Another progression nicely curved that could match with smaller scale cycles as building blocks Alignment with 1st systematic cycle: This means that next single-cycled consolidation confirms bearish exhaustion by matching proportions within a cycle. "Reactive" Patterns to after heavy drops, like this often contain compressed fractals with higher frequency or reversals. Witnessing how even single-cycled bullish “consolidation after drop” contains undeformed proportions of fractal, at this point there is no need to look for another fractal. This approach illustrates how dynamics of smaller cycle evolve into larger market movements, maintaining their core proportions across price and time scales. The ability of these patterns to mirror both micro (next one) and macro (overall shape) levels indicates that the metrics defining these fractals are consistent and scalable across timeframes and price scales. This scalability hints at a deeper, intrinsic market behavior rooted in fractal geometry. The fact that all patterns seem to "abide by each other's metrics" implies a self-referential system, where smaller cycles influence larger ones, and vice versa. This aligns with the theory of self-similarity, a core principle of fractals, suggesting that markets are not random but governed by a structured, recursive mechanism. Viewing the chart in logarithmic scale amplifies this universal quality, as it normalizes the exponential growth of markets and reveals the proportionality between fractal patterns. Will do Fractal Mapping with Fibs in Part II
NASDAQ:NVDA
by fract
1
XRP Market Cap With 2017 FractalStriking similarities between early 2017 price action on XRP market cap and our present situation. I've overlayed the fracal from early 2017 and scaled it to fit our top of $2.92. If we follow the same pattern our bottom will be around $1.68. Back in 2017 we consolidated for about month before we broke out from that local top. From there it took rougly another 15 days to reach the ultimate top. The scaled fractal points exactly to a 5.236 fibonacci extension. By today's supply that would amount to $8.50 per XRP. Keep in mind I didn't take into account that there is XRP released from ESCROW every month and the supply is therefore increasing. Currently 57B in circulation and the maximum supply ever will be 100B. In conclusion, the longer it takes, the more likely it is that these price targets have to be adjusted (lowered). Will we follow this fractal? Let's see how it plays out!
CRYPTOCAP:XRP
by butwhowasmoon
AMD Chart-Based Probabilistic TargetsFRACTAL SCALING For a start I'll use the monthly timeframe that captures the broader market cycles and observes the structural trends to understand the scale and distribution of randomness over time. We need a solid foundation before diving into finer timeframes for more detailed analysis. Capturing critical points of a cycle with Fibonacci channels, especially when aligned with the direction of the trend, reveals hidden non-linear dynamics due to the following reasons: Fibonacci ratios reveal fractal structures that align with key reversal points in cycles, reflecting inherent market patterns. Directionality highlights trend asymmetries, showing where price reacts differently in bullish or bearish conditions. Cycles map the rhythm of reversals, exposing non-random patterns in market transitions. Price reacts disproportionately at Fibonacci levels, reflecting non-linear market forces like supply and demand. Hidden symmetry emerges, revealing harmonic relationships within price swings. Integration of time and price uncovers rhythm, where significant moves align with Fibonacci projections. Historical patterns anticipate future reactions, showing the underlying structure of market behavior. Justified Shift This version of the wave metrics aligns the top of the Fibonacci channel with a more recent cycle high, allowing it to better reflect the current price structure. By anchoring the top cycle closer to the present price action, the analysis enhances the accuracy of the underlying frequency dynamics and non-linear relationships. This adjustment also highlights a clearer transition between past and current cycles, capturing how momentum evolves within the channel. The updated metrics likely improve the identification of potential reversal zones or continuation points relative to the new cycle top. Curves Curves are essential in fractal analysis because they reveal the non-linear dynamics and self-similar structures that govern market behavior. Unlike straight lines, curves accurately model the natural rhythm of price movements, capturing how trends accelerate or decelerate over time and oscillate between key levels. By connecting critical price points such as highs, lows, and retracement levels, curves expose the proportional relationships that link fractals, often aligning with natural laws like the Fibonacci sequence. They also define boundaries like "Full Capacity," highlighting where price tends to exhaust momentum and reverse, offering a roadmap for identifying turning points. Furthermore, curves integrate time and price, capturing the dynamic relationship between the two and providing deeper insights into how cycles evolve and repeat. In fractal analysis, they bridge the gap between mathematical models and real market behavior, making them invaluable for interpreting and anticipating price action. Weekly Timeframe AMD’s remarkable growth of 14,018.01% from $1.61 to its all-time high signals an impressive rally, but it also raises the likelihood of growing bearish pressure as the market enters an overheated condition. Such parabolic moves are rarely sustainable, and they often lead to exhaustion, where natural resistance levels, such as the upper bounds of the Fibonacci channel, come into play. These levels, particularly the "Full Capacity" threshold, often signal overbought conditions, triggering profit-taking by institutional investors and traders. As price approaches these critical thresholds, momentum typically begins to slow, with indicators like RSI or volume divergence potentially signaling weakening bullish sentiment. The natural cyclical behavior of markets, combined with extended valuations, creates a favorable environment for bearish reversals. Additionally, macroeconomic risks, declining earnings growth, or broader fundamental concerns can further amplify selling pressure. If price fails to maintain upward momentum or begins forming bearish reversal patterns such as lower highs or rising wedges, it may confirm that the market is entering a corrective phase. Monitoring technical indicators, such as volume trends and momentum divergences, alongside fundamental triggers, will be essential in assessing whether bearish pressure will dominate in the near term. Repetitive Patterns The repetitive pattern circled in yellow represents a critical cyclical phase in AMD's price movement. Each time this pattern completes, it is immediately followed by an "off-the-range" move that resembles the beginning of a super cycle. This phenomenon suggests that the yellow-circled phase acts as a precursor to a significant shift in the market's dynamics, where price transitions into a larger, more powerful trend. That fractal may indicate consolidation or accumulation, where price oscillates within a confined range before breaking out. This breakout initiates a super cycle, marked by a rapid and sustained directional move beyond the previous range. The repetitive nature of this sequence highlights the fractal behavior of the market, where similar patterns recur at different scales, providing opportunities to anticipate major market movements. Fractal I Fractal II
NASDAQ:AMD
by fract
4
SMCI, the worst is likely behind usSMCI has crashed from this years highs, a good 80%. To me it sounds like the worst has happened. And while we may see some positivity this EOY that can help us reach new ATHs, we must remain aware of the risk the broad economy poses. Target is 130+ short term, with one more 50%+ drop coming right after. I would make sure I have the funds ready to scoop up shares if such a scenario happens. As the second dip doesn't look as bad as the first one. After that SMCI will resume its lifetime bullish climb, and keep on going for as long as the bull market lasts.
NASDAQ:SMCILong
by Ilyassou