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Parallel Channel

WIPRO – STOCK OF BULLISHNESS Wipro is showing a positive structure with strong support near ₹175–₹176. Key Support Zone: ₹170–₹175 Breakout Level: ₹183 Upside Targets: Target 1: ₹196 Target 2: ₹205 View: As long as the stock sustains above the ₹175–₹176 support zone, the bullish setup remains intact. A decisive breakout above ₹183 can trigger the next momentum leg towards ₹196 and ₹205. Confirmation above ₹183 is important before expecting the full upside move. Thank you .
NSE:WIPROLong
by trailingtradesc85cd5c9f87345fb
BTCUSDT Short: 78,4K Rejection Keeps Short-Term Bearish ScenarioHello traders! Here’s my technical outlook based on the current BTCUSDT (4H) chart structure. BTCUSDT previously traded inside a descending structure before breaking above resistance and shifting bullish. Price then formed an ascending channel and moved toward the 78,400 Supply Zone, where sellers rejected the upside. Currently, BTCUSDT is trading below 78,400 while holding above the 75,000 Demand Zone and channel support. The rejection suggests a possible short-term correction. As long as BTCUSDT remains below the 78,400 Supply Zone and respects the current resistance structure, the bearish scenario remains valid. A rejection from current levels could push price toward the 75,000 Demand Zone (TP1). However, a breakout and close above 78,400 would weaken the bearish outlook and increase the possibility of further upside. Manage your risk!
BINANCE:BTCUSDTShort
by heniitrading
9
XAUUSD Long: Higher-Low Structure Supports Further Upside TowardHello traders! Here’s my technical outlook based on the current XAUUSD (1H) chart structure. XAUUSD previously traded inside a descending channel before breaking above its upper boundary and shifting bullish. Price then formed a rising structure and moved toward the 4,700 Supply Zone. Currently, XAUUSD is trading above the 4,540 Demand Zone while respecting the ascending Demand Line. The latest breakout keeps the bullish structure intact. As long as XAUUSD remains above the 4,540 Demand Zone and respects the ascending Demand Line, the bullish scenario remains valid. A successful retest of the Demand Zone could push price toward the 4,700 Supply Zone (TP1). However, a breakdown below 4,540 would weaken the bullish outlook and increase the risk of a deeper correction. Manage your risk!
FOREXCOM:XAUUSDLong
by heniitrading
13
BTCUSDT Successful Support Retest Opens the Path Toward $79,500Hello traders! Here’s my technical outlook based on the current BTCUSDT (1H) chart structure. BTCUSDT previously traded inside a descending channel before breaking above the resistance line and shifting bullish. Price then formed a range and broke higher toward the 79,500 Seller Zone, where sellers may defend the upside. Currently, BTCUSDT is trading below the 79,500 Seller Zone while holding above the 76,200 Buyer Zone and rising trend line. The strong breakout and continued bullish structure suggest that buyers remain in control. As long as BTCUSDT remains above the 76,200 Buyer Zone and respects the rising trend line, the bullish scenario remains valid. A successful retest of support could push price toward the 79,500 Seller Zone (TP1). However, a breakdown and close below 76,200 would weaken the bullish outlook and increase the risk of a deeper correction. Please share this idea with your friends and click "Boost" 🚀
BINANCE:BTCUSDTLong
by LegionQ8
20
AMD Stock Analysis: $390, $600 and $770 Levels to WatchAMD's business is still growing quickly, while its long-term stock chart has entered a different phase. Revenue increased 50% year over year in the latest quarter, Data Center revenue more than doubled, and AMD is guiding for roughly 41% year-over-year revenue growth next quarter. The fundamental backdrop remains strong. On the chart, however, AMD has already broken a long-term structure that had guided the stock for years. AMD's Long-Term Channel AMD spent most of its advance from the 2015 lows inside a large rising channel. Price tested the lower side of that channel in 2022, although that break was difficult to treat as decisive. The move in 2025 was much clearer, with AMD falling below the lower boundary before recovering sharply. The stock has since climbed back to new highs, but the old channel no longer provides the same support structure. That changes how I read the current AMD chart. The focus now shifts to the major price areas around the stock and to the structure of the recovery from the 2025 low. The Weekly AMD Structure The weekly chart shows the recent sequence in more detail. AMD peaked in 2024, fell into the 2025 low and then recovered strongly enough to move above the previous high. From an Elliott Wave perspective, that recovery can still develop further, although the stock is already trading much higher inside the current structure. AMD is now approaching an area where the next large move should become easier to read. The current price is around $456, with an important upper area near $600 and a lower boundary near $390. Those two levels define the part of the chart I am watching most closely. AMD Stock Analysis: $390 to $600 AMD is currently trading inside the $390-$600 area. Price has already reached as high as roughly $585, so the upper boundary has become relevant after the recent rally. A move through $600 would take AMD above the entire current price cluster and extend the recovery from the 2025 low. The lower side of the same area sits around $390. AMD can move considerably inside this range without changing the larger structure. A sustained move outside either boundary would carry much more information than the smaller fluctuations taking place between them. $600 — the main upper boundary of the current price cluster. $390 — the lower boundary that keeps the current structure intact. $770 — the next higher area from the current Elliott Wave relationships if AMD moves above $600 and holds there. $190-$260 — the next major lower cluster if AMD falls below $390 and remains below it. What Happens Above $600 If AMD makes another higher high, moves above $600 and stays above that area, the current wave structure leaves room for another leg higher. The next level I would watch is around $770. That area comes from the larger Elliott Wave relationships visible on the weekly chart. The behavior after the breakout will matter as much as the initial move above $600. AMD has already shown large swings during the last several years, including sharp reversals after strong advances. Holding above the upper boundary would give the move considerably more weight. What Happens Below $390 A break below $390 would change the current setup. The chart has relatively little major structure between that level and the next large price cluster around $190-$260. If AMD moves below $390 and remains there, that lower area becomes much more relevant. This would also mark a significant change from the recovery that began at the 2025 low. Until then, $390 remains the lower boundary of the structure I am following. AMD Levels to Watch AMD currently sits between two major levels. The stock has recovered strongly from its 2025 low and reached a new all-time high, while the long-term channel that contained the earlier advance has already been broken. The next useful information should come from price behavior around $600 or $390. Above $600, the current structure can extend toward the next major area around $770. Below $390, attention shifts toward the $190-$260 cluster. I will update the AMD analysis when price moves through one of these boundaries and shows that it can hold there.
NASDAQ:AMDLong
by sdk-trading
4
The Linear Fit: Reading Trend Through Regression● 📐 The Conceptual Origin - The practice of drawing a channel around price action traces its intellectual lineage back to the earliest attempts by technical analysts to impose statistical order on what appears, at first glance, to be chaotic movement. Long before computers could calculate regression coefficients in real time, chartists were already drawing trendlines by hand, connecting swing highs and swing lows in an effort to visualize the underlying drift of a market. The conceptual leap from a hand-drawn trendline to a statistically fitted regression channel represents a maturation of this instinct, replacing subjective eyeballing with an objective least-squares fit that minimizes the distance between a proposed line and the actual closing prices observed over a given window. - At its philosophical core, this approach rests on a single, powerful assumption borrowed from classical statistics: that price, over a sufficiently constrained window of time, behaves as a linear function of time plus a random error term. The regression line is the trader's attempt to isolate that linear signal from the surrounding noise, while the dispersion of prices around that line, typically measured in standard deviations, becomes a proxy for the magnitude of the noise itself. This is not merely a charting convenience; it is an implicit adoption of the same logic used in econometrics when analysts attempt to decompose a time series into trend and residual components. - The decision to bound the regression line with deviation bands introduces a second and equally important intellectual tradition, namely the concept of statistical confidence. A channel is not simply a line; it is a probabilistic envelope. By selecting a specific z-score multiplier, the architecture is making an implicit claim about how much of the observed price distribution should fall within the bounds under a normal or near-normal distribution assumption, echoing the same reasoning that governs confidence intervals in inferential statistics. ● 📊 Narrative Technical Analysis - The technical mechanics of this concept begin with the identification of structural pivot points, which serve as the anchors from which a fresh regression attempt is launched. A pivot high or pivot low is, in essence, a local extremum validated by a symmetric lookback and lookforward window, and its role here is to mark the moment when the market's short-term character shifts enough to warrant a new structural regression milestone. Rather than fitting a single rigid line across the entire visible history, the underlying logic treats each pivot as a potential inflection point, a candidate origin for a brand-new best-fit segment that only becomes structurally valid once a minimum bar count and a minimum correlation strength have both been satisfied. - Central to this narrative is the Pearson correlation coefficient, which functions as a real-time referendum on the quality of the linear fit. A coefficient close to unity in absolute value indicates that price has been moving with unusual discipline along a straight trajectory, while a coefficient closer to zero signals that the market has entered a phase of directional ambiguity where a linear model simply fails to capture what is happening. This creates an elegant self-diagnosing mechanism: the model does not merely draw a channel, it also reports on its own confidence in that channel, distinguishing a high-conviction structural trend from a weak, noise-dominated drift. - Consolidation box mapping enters the narrative through the behavior of the channel during periods when the correlation coefficient degrades. When the linear fit weakens, the channel visually compresses into something resembling a horizontal container rather than a sloped corridor, and this transition itself becomes informative. A trader reading the narrative correctly understands that the flattening of a regression channel is often the technical fingerprint of accumulation or distribution, a pause in directional conviction that frequently precedes either a continuation breakout or a structural reversal. - Volume profile anomalies, while not the primary axis of this framework, interact with it indirectly through the standard deviation envelope. A statistically tight envelope combined with an unusually elevated standard deviation on a handful of bars often points toward a volume-driven anomaly, a burst of participation that temporarily distorts the regression's residuals. Sophisticated readers of this kind of channel learn to treat such distortions not as noise to be ignored but as evidence of a shift in the underlying order flow that the linear model is passively recording. - The optional adaptive smoothing of the underlying price source before the regression is calculated introduces a further layer of nuance. By allowing the input series itself to be pre-filtered through various smoothing philosophies, ranging from simple moving averages to more exotic adaptive constructs, the framework acknowledges that raw closing prices are themselves a noisy proxy for the market's true underlying value, and that a cleaner input can materially improve the quality of the subsequent linear fit. - Finally, the mechanism by which one regression segment yields to the next, either through a clean truncation at the point of structural break or through a deliberate merger when two adjacent segments share a sufficiently similar slope and standard deviation, mirrors the way an experienced analyst manually redraws a trendline once it has clearly been violated, except that here the redrawing is governed by an explicit, repeatable statistical rule rather than by discretionary judgment. ● 🏛️ Institutional vs. Retail Perspective - Institutional market participants tend to approach the concept of a statistically fitted channel as one tool among many within a broader quantitative toolkit, most often using it not as a standalone signal generator but as a contextual filter that informs position sizing, hedge ratios, or the timing of larger order execution. For a trading desk managing significant size, the correlation coefficient embedded in the channel is less interesting as a trade trigger and more valuable as a real-time measure of market regime, feeding into execution algorithms that slow down order placement during low-correlation, high-noise conditions and accelerate it during high-correlation, trending conditions where slippage costs are more predictable. - Retail traders, by contrast, are far more likely to interpret the same channel visually and instinctively, treating the upper and lower bounds as literal buy and sell zones without necessarily internalizing the statistical assumptions that underpin their construction. This divergence in interpretation is itself a rich subject of behavioral finance, since the same mathematical object can be simultaneously a sophisticated regime-detection input for one class of participant and a simplistic support-and-resistance heuristic for another. - The institutional lens also places far greater weight on the stability of the fit across multiple timeframes simultaneously, cross-referencing a daily regression channel against an intraday one to detect fractal alignment, whereas retail attention is often anchored to a single timeframe in isolation. This difference in analytical horizon explains why institutional desks are generally more skeptical of channel breakouts that occur without confirming structure on a higher timeframe, while retail participants frequently react to the breakout of a single-timeframe channel as if it were sufficient evidence on its own. - There is also a meaningful difference in how each group treats the moment when the correlation coefficient weakens. Institutional risk management frameworks typically treat a degrading fit quality as an explicit signal to reduce exposure or widen stops, formalizing the uncertainty into a quantifiable risk parameter, whereas retail traders often ignore or fail to notice this degradation entirely, remaining committed to a directional thesis even as the statistical foundation supporting that thesis erodes beneath them. ● ⚙️ Strategic Variance - In a trending market regime, this class of tool performs closest to its theoretical ideal. Persistent directional price movement produces long, stable pivot-to-pivot windows over which the linear regression achieves a high absolute correlation coefficient, and the resulting channel behaves almost as a self-fulfilling corridor, with pullbacks respecting the lower or upper deviation band and the slope itself confirming the prevailing bias. It is precisely in this regime that the statistical assumptions embedded in the model are best satisfied, since a genuinely linear drift with well-behaved residuals is the textbook condition under which ordinary least-squares fitting produces its most reliable output. - In a ranging market regime, the framework's behavior changes character substantially. The absence of sustained directional drift causes the correlation coefficient to compress toward zero far more frequently, and the channel itself tends to flatten and widen, reflecting the fact that price is oscillating around a roughly constant mean rather than progressing along a meaningful trajectory. Traders who understand the underlying statistics recognize this flattening not as a failure of the tool but as an accurate diagnostic of a market that has, for the time being, abandoned trend in favor of mean-reverting behavior, and they adjust their strategic posture accordingly, favoring fade-based tactics over breakout-based ones. - In a high-volatility regime, the standard deviation component of the channel expands rapidly, often outpacing the market's actual directional progress. This produces wide, loosely fitted channels that, while statistically valid, provide comparatively little practical utility for tight risk placement, since the deviation bands can widen to the point where a stop placed just beyond them exposes an unacceptably large amount of capital relative to the position's intended edge. High-volatility regimes therefore test the philosophical limits of any linear framework, since sudden regime shifts, gap risk, and non-normal return distributions all violate the underlying assumptions of ordinary least-squares fitting in ways that a purely mechanical model cannot fully anticipate. - The transition between these regimes is itself a subject worthy of academic attention, since the moment of regime change, the instant when a market shifts from trending to ranging or from calm to volatile, is precisely when statistical tools of this nature are least reliable, exhibiting a natural lag between the change in underlying market character and the corresponding change in the calculated fit. This lag is not a flaw unique to any single implementation but an inherent property of any backward-looking statistical estimator, and it underscores why prudent practitioners treat such tools as descriptive rather than predictive instruments. ● 🧠 Psychological Architecture - The trader's relationship with a statistically bounded channel is fraught with a particular cognitive tension between the desire for objective, quantified certainty and the underlying reality that markets remain fundamentally probabilistic. A channel with a numerically stated correlation coefficient carries an air of scientific authority that can lull a trader into treating a moderately strong fit, perhaps in the range of sixty to seventy percent, as functionally equivalent to certainty, when in fact a substantial portion of price variance remains unexplained by the linear model. - Confirmation bias plays an outsized role once a trader has committed to a directional thesis based on a channel's slope. Having formed a bullish or bearish expectation, the trader becomes psychologically predisposed to notice subsequent price action that respects the channel boundaries while discounting or rationalizing price action that violates them, effectively cherry-picking evidence that supports the original thesis and undermining the very objectivity that drew them to a quantitative tool in the first place. - The moment when fit quality deteriorates presents a particularly acute psychological challenge, since it requires the trader to voluntarily downgrade their own confidence in a position they may already hold, a form of cognitive dissonance that many find genuinely uncomfortable to resolve. The natural human tendency is to seek out reasons why the degrading correlation is a temporary anomaly rather than a genuine signal that the market's character has shifted, and this reluctance to update one's beliefs in light of new statistical evidence is one of the more persistent psychological hurdles in quantitative trading generally. - There is also a distinct emotional dimension to the visual compression and expansion of the channel itself. A narrowing channel during a strong trend can produce a false sense of security, since the tight statistical fit is easily misread as an assurance of continued directional movement, when in reality tight channels are frequently the precursor to a volatility expansion precisely because low realized volatility tends to be mean-reverting over time. Conversely, a wide, loosely fitted channel during high volatility can trigger excessive caution or outright paralysis, even in situations where the underlying opportunity remains statistically sound once properly risk-adjusted. ● 🎲 Risk & Probability Sagas - The mathematical philosophy underpinning any deviation-based channel is fundamentally an exercise in applied probability rather than deterministic forecasting. Selecting a particular number of standard deviations to bound the channel is equivalent to making an explicit statement about the probability mass one wishes to capture under an assumed distribution, and this choice inherently trades off between the frequency of boundary touches and the statistical significance of a genuine breakout beyond those bounds. A narrower deviation multiplier will flag more frequent excursions, many of which will prove to be noise, while a wider multiplier will flag fewer excursions but grant each surviving signal greater statistical weight. - This tension between sensitivity and specificity lies at the heart of every probabilistic trading framework, and it cannot be resolved through parameter optimization alone, since the optimal balance is itself a function of the trader's risk tolerance, holding period, and the capital at stake in any given position. A probabilistic risk philosophy therefore demands that the trader think not in terms of whether a given breakout will succeed or fail, but in terms of the long-run expectancy generated across a large sample of similar statistical configurations, accepting that any individual instance carries irreducible uncertainty. - The assumption of approximate normality in the underlying residuals, while a reasonable first approximation, is itself a simplification that sophisticated practitioners must hold loosely. Financial returns are well documented to exhibit fatter tails than a true normal distribution would predict, meaning that extreme deviations occur more frequently than a naive application of standard deviation bands would suggest. A rigorous probabilistic risk philosophy therefore treats the calculated standard deviation as a useful but imperfect proxy for true dispersion, building in additional margin for the fact that tail events are more common in practice than in theory. - Ultimately, the deepest philosophical contribution of this style of framework is its reframing of trend and structure as continuous, measurable, and probabilistic properties rather than binary states that either exist or do not. A market is never simply trending or not trending; it exists somewhere along a spectrum of linear coherence, and the correlation coefficient gives that spectrum a numerical anchor. Internalizing this probabilistic worldview, rather than searching for false certainty in any single signal, is arguably the single most valuable intellectual habit a trader can extract from engaging with statistically fitted channel methodologies. Based on the concepts previously discussed, the SmartFit Trend Channels indicator was developed to reflect the academic and technical principles outlined in this article. ⚠️ Risk Disclaimer This article is intended for educational and informational purposes only and does not constitute financial, investment, or trading advice of any kind. All discussion of statistical methods, market regimes, and probabilistic reasoning reflects general analytical concepts and should not be interpreted as a recommendation to buy, sell, or hold any financial instrument. Trading and investing in financial markets involves substantial risk, including the potential loss of principal, and past price behavior or statistical patterns are no guarantee of future results. Readers should conduct their own independent research and consult a qualified financial professional before making any trading or investment decisions.
OANDA:XAUUSDEducation
by MarkitTick
EURUSD Short: Faced Resistance at 1.1710 — Correction To 1.1640Hello traders! Here’s my technical outlook based on the current EURUSD (1H) chart structure. EURUSD previously traded inside a range before breaking higher and forming an ascending channel. Price then moved toward the 1.1710 Supply Zone, where sellers rejected the upside. Currently, EURUSD is trading below 1.1710 while holding above the 1.1640 Demand Zone and channel support. The rejection suggests a possible short-term correction. As long as EURUSD remains below the 1.1710 Supply Zone and respects the upper structure of the ascending channel, the bearish scenario remains valid. A rejection from current levels could push price toward the 1.1640 Demand Zone (TP1). However, a breakout and close above 1.1710 would weaken the bearish outlook and increase the possibility of further upside. Manage your risk!
Short
by heniitrading
13
GOLD Rejection from Resistance Could Trigger a Deeper CorrectionHello traders! Here’s my technical outlook based on the current XAUUSD (4H) chart structure. XAUUSD previously traded inside a descending channel before breaking above the resistance line and shifting bullish. Price then rallied toward the 4,640 Seller Zone, where strong selling pressure could appear. Currently, XAUUSD is trading near the 4,640 resistance level while holding above the 4,500 Buyer Zone and the rising support line. The current area may act as a key rejection zone if buyers fail to break and hold above resistance. As long as XAUUSD remains below the 4,640 Seller Zone and faces rejection from this area, the bearish scenario remains valid. A pullback from resistance could push price toward the 4,500 Buyer Zone (TP1). However, a strong breakout above 4,640 would weaken the bearish outlook and open the path for further upside. Please share this idea with your friends and click "Boost" 🚀
FOREXCOM:XAUUSDShort
by LegionQ8
19
EURUSD Bullish Structure Intact — Retest Could Lead to 1.1750Hello traders! Here’s my technical outlook based on the current EURUSD (2H) chart structure. EURUSD previously traded inside a descending structure before breaking above the resistance line and shifting bullish. After the breakout, price formed an ascending channel and continued higher toward the 1.1750 Seller Zone, where sellers may defend the upside. Currently, EURUSD is trading above the 1.1670 Buyer Zone while approaching the 1.1750 Resistance Level. The recent breakout and continued movement inside the ascending channel suggest that buyers remain in control. As long as EURUSD remains above the 1.1670 Buyer Zone and respects the ascending channel, the bullish scenario remains valid. A successful retest of support could push price toward the 1.1750 Seller Zone (TP1). However, a breakdown and close below 1.1670 would weaken the bullish outlook and increase the risk of a deeper correction. Please share this idea with your friends and click "Boost" 🚀
Long
by LegionQ8
19
ETHUSDT - Consolidation could trigger further growthBINANCE:ETHUSDT.P remains relatively strong compared to Bitcoin. After a strong rally, the altcoin has entered consolidation near key resistance levels, which is a locally positive setup Bitcoin is strengthening on the back of recent news and breaking out of its year-long bearish trend. Last week’s session closed favorably, and the lack of a deep correction increases the chances of further upside across the broader market. After a strong rally and reaching a new high at 2,550, Ethereum has entered a consolidation phase, indicating strong buyer interest in further upside Resistance levels: 2485, 2550 Support levels: 2423, 2356 Technically, the market could form a local long squeeze around the support zone before continuing higher. However, a breakout and close above 2,485 would open the way for a potential rally toward 2,550–2,620 Best regards, R. Linda.
BINANCE:ETHUSDT.PLong
by RLinda
12
XRP Secondary Trend. Wedge. Channel. 08 2026Rhyme logo. 3-day time frame. Decline from the secondary trend high of -72% after a pump from the breakout of +372% 🟡 Horizontal channel of potential volatility (conditionally long-term) accumulation and capitulation zones of the next cycle. The main bullish support is the green dotted line, which is the median of the main trend. Despite the current euphoria and the +69% breakout pump, just in case, place a grid of limit orders in the designated capitulation zone (highlighted purple) for those USD positions not involved in trading, or for the funds you locked in during this local trend reversal pump. Previous Cycle 2022-2025: Accumulation 03/2023-11/2024: 308 days (capitulation) + 608 days (accumulation) Price: $0.40-$0.70 (Average Accumulation: $0.56) Distributions 2024-2025: 440 days Price: $3.40-$1.80 (Average Sales: $2.47) +340% of the average accumulation price. Main Trend, to understand this trading zone, see below (published January 2026), or the 2022 trading idea...
CRYPTO:XRPUSD
by SpartaBTC
14
GOLD - Local correction before growth ICMARKETS:XAUUSD is making new highs, but toward the end of Friday’s trading session, the market entered a local correction phase amid profit-taking. The market remains in a local bullish phase The dollar is stagnating again after its sharp decline, with no change in market structure. Technically, the bearish move could continue Gold is forming a correction within its bullish phase. The current liquidity-hunting phase could soon give way to another bullish impulse. Next week, the main focus will be on the PCE data and GDP. Technically, gold is forming a bottom around 4,000 and breaking its local market structure, suggesting a potential return to the broader trend. At the open of the session, gold could continue its local correction before resuming the uptrend. Areas of interest: 4,770–4,860 Resistance levels: 4630, 4650 Support levels: 4590, 4578, 4563 Locally, the key range is 4,563–4,630. Within the current range, gold is correcting toward the liquidity zone. A long squeeze around the 4,590–4,580 area could trigger a bounce and a move higher toward 4,650 Best regards, R. Linda
ICMARKETS:XAUUSDLong
by RLinda
11
EURUSD: Ascending Channel Sets Up Potential Move to 1.1760Hello everyone, here is my breakdown of the current EURUSD setup. Market Analysis EURUSD previously traded inside a descending channel before breaking above its upper boundary and shifting bullish. Price then formed a range and later broke higher, moving into an ascending channel toward the 1.1760 Resistance Zone. Currently, EURUSD is trading above the 1.1670 Support Zone while holding inside the ascending channel. The recent breakout and pullback suggest that buyers remain active, with price potentially retesting support before continuing higher. My Scenario & Strategy As long as EURUSD remains above the 1.1670 Support Zone and respects the ascending channel, the bullish scenario remains valid. A successful retest of support could push price toward the 1.1760 Resistance Zone (TP1). However, a break below 1.1670 and the ascending channel would weaken the bullish outlook and increase the risk of further downside. That’s the setup I’m tracking. Thank you for your attention, and always manage your risk.
Long
by Ratner
22
HYPEUSDT - ATH Retest. Consolidation Before a Rally?BINANCE:HYPEUSDT.P is testing its ATH (all-time high), while the market is becoming increasingly euphoric. The main catalyst is the crypto summit at the White House. Another pre-election move by Trump? The cryptocurrency market is in a state of euphoria. Bitcoin has most likely completed its bearish cycle. However, a strong rally could be followed by a correction, and a short squeeze — for example, in the 80K–83K area — could trigger a 30–40% pullback. HYPE is outperforming the broader market and is testing its ATH, giving the coin strong potential for further upside. After a strong rally, the altcoin is testing the resistance zone of its trading range. A prolonged consolidation would increase the chances of a breakout above 75.88 and a potential move toward 88.90 Resistance levels: 75.88 Support levels: 71.27, 69.11 I expect HYPE to hold above 76.0 without a significant pullback and continue consolidating. A breakout and close above this zone could trigger further upside toward the stated target Best regards, R. Linda
BINANCE:HYPEUSDT.PLong
by RLinda
5
GOLD - The Hunt for Liquidity Ahead of the Rally ICMARKETS:XAUUSD , within a news-driven distribution phase, is testing the 4,525 D1 level and is bouncing back toward support in search of liquidity The Dollar Index continues to decline sharply, providing support for gold. However, caution is warranted given the current fundamental and geopolitical backdrop. Gold’s bullish bias should remain intact unless we see a sharp rise in oil prices or a hawkish shift from the Fed. The nearest areas of interest and liquidity are 4,480 (4,472)–4,450 Drivers: Downside: hawkish Fed signals, conflict escalation (which could support the dollar), higher oil prices. Upside: weaker dollar, lower yields, dip-buying Resistance levels: 4525, 4541, 4580 Support levels: 4472, 4450, 4435 Technically, before continuing higher toward 4,540–4,580, gold could form a correction toward 4,472–4,450–4,435, targeting liquidity below the current price. A long squeeze could shift the local balance of power in favor of buyers and trigger further upside Best regards, R. Linda
ICMARKETS:XAUUSDLong
by RLinda
23
BTCUSDT Short: Rejection From 72,6K Supply Trigger a PullbackHello traders! Here’s my technical outlook based on the current BTCUSDT (3H) chart structure. BTCUSDT previously traded inside a descending channel before breaking above its upper boundary and shifting bullish. Price then formed a rising structure and rallied toward the 72,600 Supply Zone, where sellers may step in. Currently, BTCUSDT is trading below the 72,600 Supply Zone while approaching the 70,000 Demand Zone. The rejection from the supply area could trigger a short-term correction lower. As long as BTCUSDT remains below the 72,600 Supply Zone and shows rejection from current levels, the bearish scenario remains valid. A pullback could push price toward the 70,000 Demand Zone (TP1). However, a breakout and close above 72,600 would weaken the bearish outlook and increase the risk of further upside. Manage your risk!
BINANCE:BTCUSDTShort
by heniitrading
13