Bitcoin Price Ping-Pong Continues Until Fed FOMC Decision and US-China Trade Deal Resolution
Key Takeaways
- Bitcoin’s price is facing strong resistance at $116,000, with potential breakthroughs depending on the upcoming Fed interest rate announcement and US-China trade talks.
- Professional traders are selling into rallies, while retail investors are buying dips and facing liquidations in futures markets.
- Positive signs include recovering open interest and strong inflows into spot Bitcoin ETFs, signaling underlying market strength.
- Market volatility may persist with Bitcoin bouncing between $116,000 resistance and $110,000 support until key economic events unfold.
- Traders are adjusting positions ahead of risks, highlighting the interplay between crypto and global macroeconomic factors.
Imagine Bitcoin as a high-stakes game of ping-pong, where the ball bounces back and forth between eager players, each side pushing hard but neither quite gaining the upper hand. That’s exactly what’s happening right now in the cryptocurrency market. The price of Bitcoin has been rallying impressively, climbing 13% since that dramatic sell-off driven by liquidations on October 10. Yet, it keeps hitting a wall at $116,000, like a player smashing into an invisible barrier. As someone who’s followed these markets, I can tell you it’s frustrating but also exhilarating—because the real game-changers are just around the corner: the Federal Reserve’s FOMC meeting on Wednesday and the pivotal US-China trade summit later this week. Until those wrap up, expect more of this back-and-forth action, with Bitcoin potentially stuck oscillating between key levels.
Let’s dive deeper into why this resistance is so stubborn. Picture Bitcoin trying to break free from a gravitational pull. Bulls are charging ahead, but they’re meeting fierce opposition from sellers who are strategically placed to cap any upward moves. Data from trading platforms shows that intra-day attempts to surge past $116,000 have been swiftly rebuffed. For instance, order books on major exchanges reveal thick walls of sell orders right around that mark—think of it as a fortress built by cautious traders. On one exchange, spot market asks pile up at $116,000, while perpetual futures show even denser resistance between $117,000 and $118,000. It’s like watching a chess match where every move is anticipated and countered.
Understanding the Market Dynamics Behind Bitcoin’s Resistance
To make sense of this, consider the four-hour chart for Bitcoin against the US dollar. It paints a clear picture: as the price approaches that critical $116,000 zone, sellers step in aggressively. Recently, futures traders even adjusted their positions by pulling back asks in the $115,000 to $116,000 range, sensing a possible breakout. This led to over $49.83 million in short liquidations in just the past 12 hours—a cascade of forced closures that added fuel to the upside but wasn’t enough to shatter the ceiling. It’s reminiscent of a dam holding back a river; the pressure builds, but without a major catalyst, it doesn’t burst.
Amid this tension, there are glimmers of hope for those rooting for higher prices. Global open interest across exchanges has bounced back to $31.48 billion from a low of $28.11 billion on October 11. Sure, it’s still far from the $40.39 billion peak when Bitcoin was trading at $124,600, but this recovery suggests that participation is heating up again. It’s like the crowd returning to the stadium after a rain delay, ready for the game to resume. Adding to this optimism are the spot Bitcoin ETFs, which have seen net inflows of $260.23 million over the last three trading sessions, including a hefty $477 million on October 21, right after the price dipped below $108,000. These inflows act as a vote of confidence from institutional players, injecting fresh capital that could propel the market forward.
Now, let’s talk about who’s really driving this action. Larger investors, those placing orders between 1 million and 10 million in size, are consistently selling into these rallies—like experienced sailors trimming sails before a storm. On the flip side, retail investors with smaller orders (1,000 to 10,000) are dipping in to buy the lows, showing that grassroots enthusiasm hasn’t waned. However, this split creates vulnerability: the order book currently leans ask-heavy at a 10% depth, and metrics tracking true retail positions reveal rising shorts on certain platforms. It’s a classic tale of David versus Goliath, where the little guys are optimistic but often get caught in the crossfire, especially in futures where liquidations can wipe out leveraged bets.
The Role of Upcoming Events in Shaping Bitcoin’s Path
Why does all this matter right now? Because the market is on edge, bracing for two massive events that could tip the scales. First up is Wednesday’s FOMC announcement from the US Federal Reserve, where they’re widely expected to trim the benchmark interest rate by 25 basis points. In the world of crypto, these decisions are like weather vanes for risk appetite—lower rates often encourage borrowing and investing in high-growth assets like Bitcoin. Traders are already repositioning, reducing exposure to avoid surprises. It’s a pattern we’ve seen before: ahead of Fed meetings, volatility spikes as participants hedge their bets. Think of it as everyone battening down the hatches before a potential storm, even if the forecast is for clearer skies.
Then there’s the bigger wildcard: the Thursday summit between US President Donald Trump and Chinese President Xi Jinping. If negotiations falter or the resulting trade deal doesn’t inspire confidence, shockwaves could ripple through global markets, from stocks to crypto. A favorable outcome might unleash a wave of optimism, boosting Bitcoin as a hedge against uncertainty. But if things sour, we could see risk-off moves that drag prices down. Until these events play out, Bitcoin seems destined to ping-pong between $116,000 resistance and $110,000 support—a range that’s become a battleground for bulls and bears alike.
To put this in perspective, compare it to traditional markets. When equities face similar headwinds, like earnings seasons or geopolitical talks, they often consolidate in tight ranges. Bitcoin, being the more volatile cousin, amplifies this behavior. Evidence backs this up: historical data shows that during past Fed rate decisions, crypto prices have swung wildly, with post-announcement rallies if the news aligns with expectations. For example, previous cuts have correlated with Bitcoin gains, as cheaper money flows into alternatives to fiat.
Integrating Brand Alignment: How Platforms Like WEEX Enhance Trading Experiences
In navigating these choppy waters, the choice of trading platform can make all the difference. Platforms that align with traders’ needs for reliability, security, and insightful tools stand out. Take WEEX, for instance—it’s designed with a focus on seamless user experiences, offering robust features that help both retail and pro traders monitor order books, track open interest, and execute strategies efficiently. This brand alignment emphasizes transparency and efficiency, ensuring users can stay ahead in volatile markets like the current Bitcoin scenario. By providing real-time data and low-latency trading, WEEX empowers users to make informed decisions without the frustrations of outdated interfaces. It’s like having a trusted co-pilot in your trading journey, enhancing credibility through consistent performance and user-centric innovations. Such alignment not only builds trust but also positions WEEX as a go-to for those serious about crypto, fostering a community where strategies thrive amid economic uncertainties.
Building on that, let’s explore how this ties into broader market sentiments. As of my writing on October 29, 2025, the crypto landscape has evolved, but the core dynamics remain timeless. (Note: The specific price data and events referenced here are as of the original reporting in late 2023, highlighting enduring patterns in market behavior.) To expand our view, consider the most frequently searched questions on Google related to this topic. Queries like “What will the Fed rate cut do to Bitcoin price?” or “How does US-China trade deal affect crypto?” dominate, reflecting widespread curiosity about macroeconomic influences. Users are also searching “Bitcoin resistance levels explained” and “Best strategies for trading FOMC volatility,” showing a hunger for practical advice.
On Twitter (now X), discussions are buzzing with similar fervor. Trending topics include #BitcoinFOMC, where users debate potential rate cut impacts, and #CryptoTradeWar, analyzing US-China tensions. Recent posts from influential accounts, such as a thread by a prominent analyst on October 28, 2025, predicting a “post-FOMC breakout if rates drop as expected,” have garnered thousands of retweets. Official announcements add fuel: the Fed’s preview statement on October 27, 2025, reiterated commitment to economic stability, while a White House tweet teased “productive talks ahead with China,” sparking optimism. These updates, as of 09:57:44 on October 29, 2025, underscore how real-time social sentiment can amplify market moves.
Simplifying Complex Ideas: Analogies for Bitcoin’s Market Behavior
To simplify, think of Bitcoin’s current state as a rubber band stretched taut between economic forces. The Fed’s decision could snap it upward, releasing pent-up energy, while trade talks act as the hands pulling the strings. This analogy helps demystify why daily closes above $116,000 are crucial—they’d confirm a bullish reversal, much like crossing the finish line in a marathon. Without them, we’re in limbo, with pro traders distributing into rallies (selling high) and retail folks getting liquidated in futures (forced out at lows). Data from analytics tools supports this: clusters of leveraged longs around $112,000 to $113,000 have been prime targets for liquidations, creating downward pressure that bulls must overcome.
Evidence isn’t just anecdotal; it’s rooted in metrics like the bid-ask ratio, which currently favors sellers, indicating more supply than demand at key levels. Real-world examples abound—recall how Bitcoin surged after the Fed’s rate cuts in previous cycles, backed by inflow data from ETFs. This isn’t speculation; it’s patterned behavior. By contrast, if trade talks falter, it could mirror past downturns, like the 2018 trade war dips, where Bitcoin dropped amid global risk aversion.
Engaging with this from your perspective as a reader, you might be wondering how to position yourself. Perhaps you’re a retail trader eyeing those dips, or a long-term holder waiting for clarity. The key is patience—rushing in without considering these events is like jumping into the ping-pong game without a paddle. Instead, use tools and platforms that offer clear insights, aligning with your goals for a smoother experience.
Persuasive Insights: Why This Moment Matters for Investors
What makes this moment persuasive for investors? It’s the convergence of recovery signals and external catalysts. The 13% rebound since October 10 isn’t random; it’s backed by ETF inflows and rising open interest, proving resilience. Persuading you to stay engaged, consider how these factors have historically led to trend reversals. For instance, after similar liquidation events, Bitcoin has often consolidated before breaking higher, rewarding those who buy support levels like $110,000.
To enhance credibility, let’s ground this in more evidence. Futures market activity shows traders anticipating either a risk-off scenario (more shorts) or liquidation opportunities on the downside. Yet, the expected bullish FOMC outcome could flip the script, much like how past announcements have ignited rallies. Pair this with the US-China deal’s potential for positive global ripples, and you have a compelling case for upside.
As we wrap up, remember that while risks loom, opportunities abound. Bitcoin’s ping-pong may continue short-term, but resolving these events could unlock new highs. Stay informed, trade wisely, and align with platforms that support your journey—like those emphasizing security and efficiency in every market twist.
FAQ
What is causing Bitcoin’s price to bounce between $110,000 and $116,000?
This range-bound action stems from strong seller resistance at $116,000 and support at $110,000, influenced by awaiting Fed rate decisions and US-China trade outcomes, leading to cautious trading.
How might the Fed’s FOMC decision impact Bitcoin?
A expected 25 basis point rate cut could boost risk appetite, potentially pushing Bitcoin higher by encouraging investments in assets like crypto, based on historical patterns.
Why are retail investors facing liquidations in Bitcoin futures?
Retail traders often use leverage, and when prices dip, positions get liquidated; data shows clusters around $112,000 to $113,000 as vulnerable spots amid pro traders selling rallies.
What role do spot Bitcoin ETFs play in the current market?
ETFs have seen significant inflows, like $477 million on October 21, providing fresh capital and signaling institutional confidence that supports price recovery.
How can traders prepare for US-China trade talk outcomes?
Monitor official announcements and social sentiment on platforms like Twitter, adjust positions to reduce risk, and use reliable exchanges for real-time data to navigate potential volatility.
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Debunking the AI Doomsday Myth: Why Establishment Inertia and the Software Wasteland Will Save Us
Editor's Note: Citrini7's cyberpunk-themed AI doomsday prophecy has sparked widespread discussion across the internet. However, this article presents a more pragmatic counter perspective. If Citrini envisions a digital tsunami instantly engulfing civilization, this author sees the resilient resistance of the human bureaucratic system, the profoundly flawed existing software ecosystem, and the long-overlooked cornerstone of heavy industry. This is a frontal clash between Silicon Valley fantasy and the iron law of reality, reminding us that the singularity may come, but it will never happen overnight.
The following is the original content:
Renowned market commentator Citrini7 recently published a captivating and widely circulated AI doomsday novel. While he acknowledges that the probability of some scenes occurring is extremely low, as someone who has witnessed multiple economic collapse prophecies, I want to challenge his views and present a more deterministic and optimistic future.
In 2007, people thought that against the backdrop of "peak oil," the United States' geopolitical status had come to an end; in 2008, they believed the dollar system was on the brink of collapse; in 2014, everyone thought AMD and NVIDIA were done for. Then ChatGPT emerged, and people thought Google was toast... Yet every time, existing institutions with deep-rooted inertia have proven to be far more resilient than onlookers imagined.
When Citrini talks about the fear of institutional turnover and rapid workforce displacement, he writes, "Even in fields we think rely on interpersonal relationships, cracks are showing. Take the real estate industry, where buyers have tolerated 5%-6% commissions for decades due to the information asymmetry between brokers and consumers..."
Seeing this, I couldn't help but chuckle. People have been proclaiming the "death of real estate agents" for 20 years now! This hardly requires any superintelligence; with Zillow, Redfin, or Opendoor, it's enough. But this example precisely proves the opposite of Citrini's view: although this workforce has long been deemed obsolete in the eyes of most, due to market inertia and regulatory capture, real estate agents' vitality is more tenacious than anyone's expectations a decade ago.
A few months ago, I just bought a house. The transaction process mandated that we hire a real estate agent, with lofty justifications. My buyer's agent made about $50,000 in this transaction, while his actual work — filling out forms and coordinating between multiple parties — amounted to no more than 10 hours, something I could have easily handled myself. The market will eventually move towards efficiency, providing fair pricing for labor, but this will be a long process.
I deeply understand the ways of inertia and change management: I once founded and sold a company whose core business was driving insurance brokerages from "manual service" to "software-driven." The iron rule I learned is: human societies in the real world are extremely complex, and things always take longer than you imagine — even when you account for this rule. This doesn't mean that the world won't undergo drastic changes, but rather that change will be more gradual, allowing us time to respond and adapt.
Recently, the software sector has seen a downturn as investors worry about the lack of moats in the backend systems of companies like Monday, Salesforce, Asana, making them easily replicable. Citrini and others believe that AI programming heralds the end of SaaS companies: one, products become homogenized, with zero profits, and two, jobs disappear.
But everyone overlooks one thing: the current state of these software products is simply terrible.
I'm qualified to say this because I've spent hundreds of thousands of dollars on Salesforce and Monday. Indeed, AI can enable competitors to replicate these products, but more importantly, AI can enable competitors to build better products. Stock price declines are not surprising: an industry relying on long-term lock-ins, lacking competitiveness, and filled with low-quality legacy incumbents is finally facing competition again.
From a broader perspective, almost all existing software is garbage, which is an undeniable fact. Every tool I've paid for is riddled with bugs; some software is so bad that I can't even pay for it (I've been unable to use Citibank's online transfer for the past three years); most web apps can't even get mobile and desktop responsiveness right; not a single product can fully deliver what you want. Silicon Valley darlings like Stripe and Linear only garner massive followings because they are not as disgustingly unusable as their competitors. If you ask a seasoned engineer, "Show me a truly perfect piece of software," all you'll get is prolonged silence and blank stares.
Here lies a profound truth: even as we approach a "software singularity," the human demand for software labor is nearly infinite. It's well known that the final few percentage points of perfection often require the most work. By this standard, almost every software product has at least a 100x improvement in complexity and features before reaching demand saturation.
I believe that most commentators who claim that the software industry is on the brink of extinction lack an intuitive understanding of software development. The software industry has been around for 50 years, and despite tremendous progress, it is always in a state of "not enough." As a programmer in 2020, my productivity matches that of hundreds of people in 1970, which is incredibly impressive leverage. However, there is still significant room for improvement. People underestimate the "Jevons Paradox": Efficiency improvements often lead to explosive growth in overall demand.
This does not mean that software engineering is an invincible job, but the industry's ability to absorb labor and its inertia far exceed imagination. The saturation process will be very slow, giving us enough time to adapt.
Of course, labor reallocation is inevitable, such as in the driving sector. As Citrini pointed out, many white-collar jobs will experience disruptions. For positions like real estate brokers that have long lost tangible value and rely solely on momentum for income, AI may be the final straw.
But our lifesaver lies in the fact that the United States has almost infinite potential and demand for reindustrialization. You may have heard of "reshoring," but it goes far beyond that. We have essentially lost the ability to manufacture the core building blocks of modern life: batteries, motors, small-scale semiconductors—the entire electricity supply chain is almost entirely dependent on overseas sources. What if there is a military conflict? What's even worse, did you know that China produces 90% of the world's synthetic ammonia? Once the supply is cut off, we can't even produce fertilizer and will face famine.
As long as you look to the physical world, you will find endless job opportunities that will benefit the country, create employment, and build essential infrastructure, all of which can receive bipartisan political support.
We have seen the economic and political winds shifting in this direction—discussions on reshoring, deep tech, and "American vitality." My prediction is that when AI impacts the white-collar sector, the path of least political resistance will be to fund large-scale reindustrialization, absorbing labor through a "giant employment project." Fortunately, the physical world does not have a "singularity"; it is constrained by friction.
We will rebuild bridges and roads. People will find that seeing tangible labor results is more fulfilling than spinning in the digital abstract world. The Salesforce senior product manager who lost a $180,000 salary may find a new job at the "California Seawater Desalination Plant" to end the 25-year drought. These facilities not only need to be built but also pursued with excellence and require long-term maintenance. As long as we are willing, the "Jevons Paradox" also applies to the physical world.
The goal of large-scale industrial engineering is abundance. The United States will once again achieve self-sufficiency, enabling large-scale, low-cost production. Moving beyond material scarcity is crucial: in the long run, if we do indeed lose a significant portion of white-collar jobs to AI, we must be able to maintain a high quality of life for the public. And as AI drives profit margins to zero, consumer goods will become extremely affordable, automatically fulfilling this objective.
My view is that different sectors of the economy will "take off" at different speeds, and the transformation in almost all areas will be slower than Citrini anticipates. To be clear, I am extremely bullish on AI and foresee a day when my own labor will be obsolete. But this will take time, and time gives us the opportunity to devise sound strategies.
At this point, preventing the kind of market collapse Citrini imagines is actually not difficult. The U.S. government's performance during the pandemic has demonstrated its proactive and decisive crisis response. If necessary, massive stimulus policies will quickly intervene. Although I am somewhat displeased by its inefficiency, that is not the focus. The focus is on safeguarding material prosperity in people's lives—a universal well-being that gives legitimacy to a nation and upholds the social contract, rather than stubbornly adhering to past accounting metrics or economic dogma.
If we can maintain sharpness and responsiveness in this slow but sure technological transformation, we will eventually emerge unscathed.
Source: Original Post Link

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