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Fractal

XRP/USDT Monthly Chart: History Repeating Itself?Hey traders! Let’s dive into this monthly XRP/USDT chart. I’ll be honest — I’m skeptical about this outcome, but let’s break it down because it could actually happen! The chart screams déjà vu, with XRP’s price action mirroring the 2014-2018 period. Back then, XRP broke out from its 2014 ATH in 2017, leading to a massive rally. Fast forward to now, and we’re seeing a similar setup, but with a twist. XRP is struggling to break through the 2018 ATH resistance zone around $3.31, which reminds me of the Breakout Consolidation phase we saw in 2017. Historically, this consolidation led to a breakout, and the chart hints at a potential repeat! If XRP breaks out soon, we could see a parabolic move, potentially targeting much higher levels. However, the current resistance is a tough hurdle, and if it fails, we might see a pullback to lower supports. Key Levels to Watch: Resistance: $3.31 (2018 ATH) Support: $1.643 (previous consolidation low) Breakout Target: To be determined (potentially parabolic) Breakdown Risk: $0.650 I’m not fully convinced, but the setup is intriguing — could this be XRP’s moment to shine? What do you think? Let’s discuss below!
CRYPTO:XRPUSD
by ArShevelev
11
DXY Bullish scenario (Daily)Dxy is still respecting the market maker buy model idea. Monday traded inside friday range. Today (Tuesday) price already traded above monday previous high signaling bullish momentum and a higher probability to trade also above friday high. Right now price is consolidating between a daily bullish fair value gap and a bearish daily volume imbalance. With the information we have, price is likelly to shop arround with no clear direction before FOMC. For the current week price is still in the manipulation phase. Traders will find higher probability trades after FOMC.
TVC:DXYLong
by josefreis
EU – Sniper Precision Off the 5M OBMarked my 5M order block off the last sell candle before the internal break of structure. Price showed bullish reaction early, but I didn’t flinch—no need to chase or expand the zone. Skipped the 10M OB, stayed patient, and let price build the narrative: • CHoCH forming • Liquidity sweep in motion • IDM cooking Now I’m posted, waiting for price to tap into my 5M OB and flip with a micro LH for the entry. No guessing. No rushing. Just letting the market come to me. Bless Trading!
Long
by Juicemannn
Temporal Aspect of FractalityIn this publication, I would like to bring some clarity to the series of my unconventional analysis. At this stage of my research I have no doubt that market's natural growth patterns can be defined by historic range and power exponents of Phi. Essentially, it's just two overall fib channels that cover structural boundaries of bullruns from ATH to new ATH mapped to bottom as 3rd coordinate. When we have angle of fibs derived from chronological highs, the ratios would cover the levels of oscillation from price scale perspective. Whereas the temporal aspect of fractality, requires looking for frequency of reversals in price dynamics. So instead of connecting pivots of same classification, we interconnect opposite points of extremes in order to tune fib direction to the angle of trend and map 3 coordinate to next swing point. This way the spacings that come with the fib proportions would indicate rhythm of trend occurrence. The primary objective of this publication is to expose traders to the forces underlying market behavior. Specifically for illustrating temporal rhythms, the end result seen in interactive chart looks like a more simplified version of works i've shared earlier.
BITSTAMP:BTCUSD
by fract
Bitcoin INSIDE SchemeFib channel config of uptrend fractal starting from 2020. Testing QM principle of uncertainty of (upward and downward) spin of particle and relating it to the condition of the market where nobody can tell if the price goes up or down, thus we have similar setting of uncertainty with fib channels of upward and downward directions. Either way market goes, the price action will always react to the fib lines. Hence, the levels where the fib lines cross produce set of probabilities. This will always be the backbone of my further works. Scheme can be used to compare your targets and determine if they are justified by the laws of golden ratio. Based on outcome of graph below:
BITMEX:BTCUSD.P
by fract
7
BTC | WHY Bitcoin is BULLISH | 2021 Fractal5 reasons why I say BTC is on it's way to a new ATH (All Time High) : ✅1️⃣ Support zone reclaimed BTC has successfully reclaimed the support zone ABOVE the neckline resistance, a topic that I've been discussing over the past two weeks. If you'll recall, I pointed out either 70k or 90k. We have our answer: ✅2️⃣ Trendlines Trendlines are BULLISH as BTC continues to make highger lows, a key indication of bullish sentiment even when a pullback is present: ✅3️⃣ Moving Averages BTC has reclaimed ALL moving averages in the daily, a bullish indication: ✅4️⃣ Trend Based Indicators A bullish flash in the weekly is a strong sign: ✅5️⃣ Fractal It's possible that BTC plays out similarly to the previous ATH fractal from 2021: ________________________ BINANCE:BTCUSDT
Long
by CryptoCheck-
Now That Gold Ended Bearish Weekly, What Next?After the indecision in the upper week, XAUUSD resumed its sell‑off this the trading week and closed below the prior week’s low, locking in a bearish weekly close. With momentum skewed to the downside, a mean‑reversion likely to occur over the next few weeks. 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
SP500 ETF: Fibonacci MappingAs you may know, Williams Fractals indicator identifies potential reversal points by marking a high (or low) surrounded by two lower highs (or higher lows) on each side, forming a five-bar pattern that signals possible turning points in price. Unfortunately, the simplicity of such indicator provides just tiny perspective, undermining broad implication of the concept. Before I begin diving into processing geometric narrative of emerging price via fibonacci channels, I want to explain how I interpret fractals. When I use the term "fractal", I'm not just talking about the points alone. Market continuously corrects itself, so analyzing it by price alone can bring more confusion than help. The object of observation shouldn't be limited to quantifying just by a single property. Chaos by default requires awareness from both price and time aspects. The easiest way to root it in my vision was through realization that price is a function of trading time intervals. Its activity can be described as cyclical progression, as if it is wired by multiple "springs" of different tensions. Classic TA patterns known to literally anyone are great for anticipating a move in surface level forecasts. Since my line of work focuses on prediction over forecasts, it requires deeper structural awareness behind complex oscillations. Let's observe the way selloff scales from ATH and how it impacts fractal hierarchy. The first corrective bullish wave can be explained as a reaction to initial impulsive bearish wave. The bigger scale drop from ATH to a lower point explains why the corrective bullish wave looks the way it is. And so on: In fractals, scaling laws describe how key properties change with size, typically following power-law relationships that reflect the structure’s self-similarity, where a characteristic scales with the size raised to an exponent. To build a probabilistic model, we must keep in mind how the smaller bits make up bigger scale picture. ATH, established bottom and angle of progression defined by pullback highs, all those points have structural weight. Since psychology of masses that shapes price dynamics is governed by mathematical sequences found in nature, it's fair to use Fibonacci Channels to map the geometry of interconnectedness. Similarly, all of those points can be referred by another fibonacci channel with opposite direction. From my perspective, traditional TA patterns reflect just phases of cycle, this is why I unify those fragments into broader scalable shapes. This distinctive branch of Fractal Analysis allows to track systematic aspects of market behavior and explains how a pattern replicates itself in rhythmic continuity.
AMEX:SPY
by fract
Dxy bullish idea for next week - MMBMThis is a bullish possibility for DXY price action for next week. Monthly: - Price took a swing low confluent with a bearish breaker in discount and closed above the level; Weekly: - Price Took a swing below monthly swing with a bullish reaction. If this week closes with above previous weeks high, it confirms a bullish weekly swing; Daily: - Monday printed the likelly low of the week - A daily fair value gap is open allow with a volume imballance around monday open signalling bullish price action - a retrace to these levels would be a good buying opportunity. 4h: - there is a market maker buy model in play. - as of now, price already printed an intermidiate term low signalling that low risk buy myght have happened. News forecast: - I expect NFP to either retrace price to daily fvg or daily volume imbalance and leave a bullish reaction. - FOMC next week might bring the volatility to complete the mmbm Thank you for reading
TVC:DXYLong
by josefreis
1
PriceTime Concept in Fractal AnalysisI continue to receive numerous questions about recommended reading, which has left me no other option than pay my debt to the society by elaborating a little more on the unconventional analysis I frequently perform using Fibonacci Channels. Alongside with theoretical insights I'll provide my key inspirations. The Misbehavior of Markets - Mechanics of Chaos Benoit Mandelbrot, one of the most extraordinary minds of the 20th century, launched a full rebellion against traditional finance in his book, “The Misbehavior of Markets”. In it, he introduced his groundbreaking “10 Heresies”, a direct challenge to the core assumptions and principles underpinning mainstream financial theories. Mandelbrot’s insights expose how conventional models fail to account for the complexity, unpredictability, and turbulence that define real-world markets. 10 Heresies: Markets Are Wild, Not Tame Traditional View: Markets follow predictable, Gaussian-based models with mild fluctuations. Mandelbrot’s View: Markets exhibit “wild randomness” with extreme, sudden changes that far exceed the predictions of Gaussian distributions. Heresy: Risk management and pricing models underestimate the likelihood of extreme events. Financial Variance Is Infinite Traditional View: Variance (a measure of risk) is finite and calculable using standard tools. Mandelbrot’s View: In fractal finance, price movements can have infinite variance due to heavy tails in the distribution of returns. Heresy: Risk cannot be fully measured or predicted using current methods. Markets Have Memory Traditional View: Markets are “memoryless,” meaning past price movements do not influence future ones (random walk hypothesis). Mandelbrot’s View: Markets exhibit long-term memory and dependence, where past trends and events affect current behavior. Heresy: Independence of price changes is a myth. Markets Are Multifractal Traditional View: Price movements are linear and follow simple Brownian motion. Mandelbrot’s View: Markets are multifractal, with different scaling behaviors across timeframes, and cannot be reduced to linear equations. Heresy: Linear models cannot capture market complexity. Time in Markets Is Variable Traditional View: Time in markets flows at a constant rate, making it possible to analyze data at fixed intervals. Mandelbrot’s View: Market time is irregular and subjective, accelerating during high activity (volatility clusters) and slowing during calm periods. Heresy: Time is not constant in financial analysis. Prices Do Not Follow Random Walks Traditional View: Prices move randomly and independently, forming a normal distribution. Mandelbrot’s View: Prices are influenced by patterns, memory, and clustering, resulting in heavy-tailed distributions. Heresy: Random walk theory oversimplifies market dynamics. Markets Are Non-Efficient Traditional View: The Efficient Market Hypothesis (EMH) suggests that all available information is reflected in prices, leaving no room for inefficiencies. Mandelbrot’s View: Markets are often irrational and exhibit inefficiencies driven by emotions, memory, and fractal structures. Heresy: Perfect market efficiency is an illusion. Risk Is Not Symmetrical Traditional View: Risk is modeled symmetrically, assuming equal likelihood of positive and negative deviations. Mandelbrot’s View: Downside risks are more extreme and frequent, leading to asymmetry in market behavior. Heresy: Risk models that assume symmetry are dangerously flawed. Models Need to Embrace Chaos Traditional View: Financial models aim for order and predictability, relying on simplified assumptions. Mandelbrot’s View: Markets are chaotic and unpredictable but exhibit fractal structures that can provide insights. Heresy: Chaos should be embraced, not ignored, in modeling markets. Forecasting Is Fundamentally Limited Traditional View: With enough data and sophisticated models, market behavior can be forecasted with high accuracy. Mandelbrot’s View: Forecasting is inherently uncertain due to the wild randomness and complex nature of markets. Heresy: Precise prediction of market movements is a fool’s errand. Mandelbrot's ideas answered why markets behave the way they do, rather than relying on surface-level analysis. It was definitely more convincing than any traditional TA material that had not much information on cause-effect mechanisms that reveal the deeper structural relationship within price movements. Fortunately, long before becoming acquainted with Mandelbrot’s take on markets, I had already developed my own perspective, thanks to the experiments I conducted right here on TradingView years back. My work perfectly aligned with his vision that acknowledges complexity, extreme events, irregularities and the interconnectedness of historic data. Concept of Relativity I got another inspiration from reading a story about the most pivotal breakthroughs in Albert Einstein’s intellectual journey, leading directly to his formulation of the theory of relativity that later on forever changed the world. His thought experiment revealed the strange and counterintuitive nature of time when viewed from different frames of reference. As Einstein imagined himself racing alongside a beam of light, he realized that from his perspective on the bus, as it was moving away from clocktower, the clock would appear frozen because the light carrying the image of the clock’s moving hands would no longer reach him. This insight, combined with his deep understanding of the constancy of the speed of light, led him to question the absolute nature of time and space. The culmination of this “storm” in his mind was the realization that time is not universal; it is relative to the observer’s motion. This revolutionary idea, published in his 1905 paper on special relativity, fundamentally changed our understanding of the universe, introducing concepts like time dilation and the interdependence of time and space—a unified spacetime . Einstein’s ability to visualize such extraordinary scenarios highlights the power of thought experiments in scientific discovery. It was not only the mathematics but also his imagination that allowed him to redefine our understanding of reality. PriceTime Model via Fibonacci Channels After being able to visualize and somehow digest the complexity behind mathematical model of relativity, I returned to Mandelbrot's book to read more about his stance on time itself. "Price is a function of trading time, which in turn is a function of clock time" - B. Mandelbrot I mean who am I to disagree with a professor... Moreover, it really begins to look like Price and Time are connected similarly to the concept of SpaceTime. Given that the psychology of the masses is inherently sensitive to the golden ratio, I was inspired to create a unified graphical framework that interconnects price dynamics, enabling navigation through the complexities of ever-evolving financial markets. By directly measuring trend angles within significant cycles, I realized that the chart’s complexity could essentially simulate itself. I incorporate psychological levels (via Fibonacci ratios) into my analysis, acknowledging how emotions shape market behavior. By embedding these emotional drivers into fractal structures, I align with Mandelbrot’s understanding of the market as a blend of human psychology and mathematical order. This led to the discovery that Fibonacci ratios influence not only the price axis but also the time axis, unveiling a deeper fractal harmony in market behavior. The way mass (or energy) curves the spacetime fabric to explain the behavior of objects in physics is strikingly similar to how historic price movements (a manifestation of energy) shape the pricetime fabric, revealing the fractal cyclicality inherent in financial markets. My work builds on Mandelbrot’s groundbreaking theories by turning his insights into practical tools. By combining his principles of self-similarity, chaos, and complexity with innovations like Fibonacci-based fractal mapping and trend directionality, I offer a fresh perspective on market behavior. This approach personally helps me to navigate the complexity of financial markets, staying true to Mandelbrot’s legacy while pushing the boundaries of fractal analysis. My motivation for staying on TradingView and analyzing charts transcended being money-driven. I could no longer see markets the same way. I broke free from the rat race and devoted my life to studying charts as a reflection of reality, aiming to uncover the intrinsic rhythm that truly drives price fluctuations. That realization inspired me to prioritize structure-based prediction over blind forecasts driven by subjective narratives, which are often flawed at their core. Sadly, great minds like Benoit Mandelbrot are no longer with us, but it is our responsibility as TradingView users to carry forward their work, treating it as our own mission to honor their legacy. The bottom line is that we should not confine ourselves to the literature of Technical or Fundamental Analysis alone. Instead, we must draw insights from any field, using diverse methods and approaches, to develop a robust probabilistic framework for anticipating future price movements.
BITSTAMP:BTCUSD
by fract
17
Gold is expected to rebound to the 3270-3275 areaFundamentals: Focus on today's NFP market; Technical aspects: Gold stopped falling near 3200 and gradually rebounded, and has now rebounded to around 3240. As for this round of rebound, I have actually made it clear in my previous opinion that the bulls and bears are wrestling at the 3200 mark, and there will still be repeated in the short term, and after the downward trend slows down, some trapped bulls must have self-rescue behaviors, so it is not surprising that gold has rebounded. From the current structure, gold has not shown a clear bottoming signal, so the gold rebound is only temporary, and gold will continue to fall after the rebound. From the perspective of frequent switching of intervals, since gold has broken through the area near 3235 during the rebound, the rebound may continue, and is expected to continue to the area near 3270-3275. After breaking through this area, it is even expected to continue to around 3290. This is the position area where we must focus on entering the short position. Trading strategy: 1. Consider buying gold in the 3235-3230 area, TP: 3245-3255; pay attention to setting protection. 2. Consider selling gold in batches after gold rebounds to the 3270-3275 area, TP: 3240-3230
OANDA:XAUUSDLong
by Steffen_Schade
BTC at a Critical Crossroad — Pump or Dump ? 📝 Caption: Bitcoin is facing a decisive moment! 📌 Price is stuck in a key holding zone. 📈 A break above could send us flying toward the $104K resistance. 📉 But failure to hold may trigger a sharp drop into the weekly FVG below $90K. 🔻 Optimal short entry if we break below the structure. 🚀 Or is this just a healthy retracement before continuation? 💬 What’s your bias — bull or bear? 📊 Let me know in the comments! #BTC #Bitcoin #CryptoAnalysis #TradeWithMky #Altcoins #TechnicalAnalysis
Long
by TradeWithMky
1