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XTZ Tezos 7x? SeekingPips First Look! TIME & PRICE MEET?ℹ️As noted in the title Tezos XTZ is NOT something SeekingPips has had on his RADAR BUT.... You know by now that for 🟢SeekingPips🟢 PRICE is ALWAYS SECOND to TIME. Our TIME FILTER BELLS are ringing HARD VERY HARD. ✅️Those of you who have been around SeekingPips for sometime KNOW WELL that I care not about any news or fundermental analysis, we are strictly MATH based TIME TRADERS in here so when the stars align and our TIME filters TRIGGER we sit up. ✅️You will know too that when 🟢SeekingPips🟢 decides to use a TRENDLINE that SeekingPips SEES SOMETHING COOKING. ✅️Also I just want to remind you that we only LONG CRYPTO. Any selling we do is strictly to bank something. Therefore the majority of our CRYPTO CHARTS will have a BULLISH BIAS. ⚠️However it DOES NOT MEAN that we necessarily have a valid trigger to enter the market at that moment a chart is shared. ⭐️We have our alerts ready and very clear key levels on the chart NOW WE SIT & WAIT and see how the LOWER TIMEFRAMES STRUCTURE develops around our TRENDLINE TO START.⭐️ No doubt we will have more to talk on this in the NEAR FUTURE. ✅️ SUBSCRIBE TO SeekingPips NOW SO YOU GET OUR ANALYSIS FIRST✅️
BITFINEX:XTZUSDLong
by seekingpips
EURUSD OUTLOOK 20 - 24 JANA very simple setup on EU. We have two liquidity points being the Weekly high and low which currently have about an equal chance of being taken. Currently structure on the 1H is bearish and will be looking to short targeting the weekly low. If price starts to give bullish structure then the weekly high will be my target. Strict risk management is key to getting through a setup like this where we have equal chances of going in either direction. Flow with the market and follow your rules
by Keyserfx
THE LIQUIDITY PARADOX: Charting the Macro Environment for 2025WEN QE !? TL;DR there will be NO Quantitative Easing this cycle. YES the markets will still go to Valhalla. LIQUIDITY DRIVES MARKETS HIGHER. FULL STOP. Global M2 has a highly correlated inverse relationship with the US Dollar and 10Y Yield. Hence why we have been seeing the DXY and 10YY go up while Global M2 goes down. THE SETUP We are in a similar setup to 2017 when Trump took office. M2 found a bottom and ramped up, which toppled the DXY. Inflation nearly got cut in half until July 2017, where it then slowly started to creep back up as M2 and markets exploded. To much surprise, all this occurred while the Fed continued to RAISE INTEREST RATES. This was in part due to policy normalization with a growing economy coming out of the financial crisis and having near 0% interest rates for so long. In Q4 2014, the Fed paused QT, keeping its balance sheet near neutral for the next 3 years. As inflation started rising, QT was once again enacted, but very strategically with a slow roll-off in Q4 2017. This allowed markets to push further into 2018. THE PLAYBOOK M2 Global Money Supply: Higher Dollar: Lower Fed Funds Rates: Lower 10YY: Lower Fed Balance Sheet: Neutral Inflation: Neutral TOOLS Tariffs Deregulation Tax Cuts Tax Reform T-Bills HOW COULD WE POSSIBLY WEAKEN THE DOLLAR? Trump has been screaming from the mountain tops; TARIFFS. Tariffs will slow imports and focus more on exports to weaken the dollar. The strong jobs data that has been spooking markets and strengthening the DXY will be revised to show it’s much worse than numbers are showing. The Fed will pause QT, saying it has ample reserves, but not enable QE. At the same time, they could pause interest rate cuts to keep a leash on markets and not kickstart inflation. Then once all the jobs data is revised and markets get spooked at a softened economy (Q2), they will continue cutting. WHY DOES THE FED KEEP CUTTING RATES EVEN WITH A STRONG ECONOMY? In short, the Fed has to cut interest rates for the US to manage its debt. THE US government is GETTEX:36T in debt. In 2025, interest projections are well above $1T. That would put the debt on par with the highest line items in the national budget such as social security, healthcare and national defense. The Treasury manages its debt by issuing securities with various maturities. When rates are low, they can refinance or issue new debt. As rates rise, the cost of servicing debt increases, and vice versa. It’s one of the underlying reasons why the Fed cut (but no one will say it out loud)… hence why everyone is so confused and screaming that they cut too early and the bond vigilantes have been revolting. HOW DOES THE MONEY SUPPLY GO UP IF NO QUANTITATIVE EASING? We’ve seen this before. President Trump and Treasury Secretary Scott Bessent have been telling you their playbook. In 2017, deregulation and tax cuts led to an increase in disposable income from individuals and corporations. Banks created more money in the markets through lending based on increased economic activity. Global liquidity increased in other major central banks like the ECB, BOJ, and PCOB who were still engaged in QE, and / or maintained very low interest rates, which created more liquidity in the US money supply. We’re seeing the same thing now with Central Banks around the world. The tax reform allowed for the repatriation of overseas profits at a lower tax rate, which brought a significant amount of cash back to the US. Like 2017, the US Treasury will increase short-term bill issuance (T-Bills), providing an alternative to the Reverse Repo (RRP), which reduces RRP usage. This provides liquidity to the markets because once the T-bills mature, funds can use the proceeds to invest in other assets, including stocks. Banks will buy T-bills and sell in the secondary market or hold til maturity, where they can then lend the cash or invest in equities. Another strategy to inject cash into the banking system would be standard Repo Operations. Here the Fed buys securities from banks with an agreement to sell them back later. This would increase lending and liquidity. Hopefully now you can see why markets DON’T NEED QUANTITATIVE EASING ! That would for sure lead to rampant inflation (see 2021), and blow up the system all over again.
TVC:DXYLong
by jonnieking
TESLA TSLA SeekingPips on FIRE AGAIN TODAY Did You Get Involved?TESLA TSLA SeekingPips on FIRE AGAIN TODAY Did You Get Involved? Participate or Spectate the choice if your by when 🌎SeekingPips🌍 Is in THE ZONE you know the team had a GREAT TRADING DAY. 🟢SeekingPips🟢 Shared the last TSLA STOCK CHART 17 hours ago and to be honest there was only upside from that TIME ONWARDS UNTIL NOW. ✅️Our calls this MORING on the CRYPTOS ADA CARDANO & HBAR HEDERA were on the MONEY TOO. ℹ️ CHECK IT OUT FOR YOURSELF... ✅️ IF YOU LIKE WHAT YOU SEE AND WANT TO STAY IN THE LOOP FOR OUR NEXT MOVE LIKE, BOOST & SHARE THIS POST NOW❗️❕️❗️❕️❗️ ⚠️ DON'T FORGET TO FOLLOW 🟢SeekingPips🟢 NOW TOO
NASDAQ:TSLALong
by seekingpips
Case for a $2,000,000 BTC in 2025This is extremely optimistic and hyper-bullish, but I wanted to publish this idea for posterity. So far, the current bull market cycle is following the 2015-2017 cycle very very closely. I think it's something like 95% correlated. We've experienced about a 500% increase from bear market lows just like we did in 2015-2016, and then in 2017 we experienced about a 20x from there. Given a Trump presidency, and the pro-crypto stance, and the fact that nations and states are proposing or actually buying BTC for reserves, I think FOMO in 2017 is going to make the price skyrocket. Is another 20x possible? If this cycle continues to correlate the same way it has been, that's exactly what we'll see. Will it happen? Time will tell.
COINBASE:BTCUSDLong
by Metal76
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
ADAUSD What does SeekingPips think? ADA Key PRICE what about TIMAs you know my now SeekingPips often consider TIME more important than PRICE when analysing any TIME and PRICE chart. 🟢 There is no difference here with ADA. ADAUSD is not really something that has really been on our radar but NOW THINGS MIGHT CHANGE. ⭐️TIME & PRICE have met in a crucial space and SeekingPips likes what he sees.⭐️ 🟢 The next 9 hours are very important for the longer term PRICE on this. 🟢 Our key level is shared on this chart. Currently favour the long side but we have no valid trigger to get involved. 🟢 SeekingPips will be watching this one closely this morning. ✅️ Have a GREAT DAY & Like Always Manage Your Risk and the PROFITS will take care of themselves. ⭐️ PLEASE LIKE AND FOLLOW SEEKINGPIPS NOW FOR OUR LATEST ANALYSIS⭐️
CRYPTO:ADAUSDLong
by seekingpips
#TradeWithMky ETH still Sleeping I suggest that to subscire channel to dont lose next analysiss This is not a financial advise its only a Analysis that I created by some difrrents strategies such as #PriceAction #PivotPoints #SmartMoneyConcept and #ClassicPatterns next bullish movement on ETH can surge us to targets in this case u should be aware about passsing at least next resistance and also if price made a DownTrend line price should break it It will happen soon o late but Money Managements is More important that Time Managments # ETH can make at least 4800$ again I wiill edit this post next 6 Weeks again and answer your Comments bellow lets make a comunication in comments ♥
Long
by TradeWithMky