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Bitcoin Experiences Short-term High on Extension of Peace Negotiations between US and Iran

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Bitcoin briefly tapped around $78,500 with intraday highs near or above $78,400–$79,400 marking its highest level in about 10–11 weeks, it’s currently trading around $77,879.

The move came as President Trump extended the U.S.-Iran ceasefire, initially framed as potentially open-ended or indefinite in some announcements, but later clarified by White House officials and reports as a short 3–5 day window. This gave Iranian leadership time to unify a counter-proposal amid ongoing negotiations and internal power struggles in Tehran, while the U.S. maintained its naval presence and Strait of Hormuz blockade.

Markets interpreted the extension as reducing the immediate threat of renewed conflict or major disruptions to oil flows, boosting risk assets like Bitcoin, equities, and crypto more broadly. Bitcoin rose roughly 2–4% that day, breaking out of recent consolidation around the $75K–$78K range.

MicroStrategy announced a large $2.54 billion Bitcoin purchase (34,164 BTC), its biggest in over a year, which amplified the upside momentum. As of April 23, 2026, Bitcoin has pulled back modestly and is trading around $77,000 depending on the exact timing and exchange. It remains sensitive to any updates on the ceasefire’s short timeline or further Middle East developments.

This fits a classic pattern: Bitcoin often rallies on de-escalation headlines; lower perceived risk = more appetite for volatile assets but can reverse quickly if tensions reignite or if the 3-5 days window leads to new friction. Broader market sentiment also improved, with U.S. stock futures and other cryptos like Ether moving higher alongside it.

Bitcoin’s volatility has been on a secular decline over the years as the asset matures and integrates with traditional finance. Realized volatility has roughly halved since 2021 peaks, bringing it closer to levels seen in commodities like oil or certain equities—though it remains higher than major stock indices or gold.
Early cycles featured extreme swings. Recent periods show more muted moves, partly due to larger market cap, institutional participation, and derivatives markets providing better liquidity. Volatility spiked around the October 2025 high and subsequent correction; driven by macro factors, leverage unwinds, and geopolitical and tariff concerns. However, 90-day realized volatility has trended lower overall, with Bitcoin at times less volatile than dozens of S&P 500 stocks.
Drivers of ongoing volatility include macro sensitivity like interest rates, risk appetite, ETF flows, and on-chain leverage, but maturation signals; options markets behaving more like traditional assets suggest gradual dampening. In short, Bitcoin is volatile relative to bonds or blue-chip stocks but far less erratic than in its speculative early days. Bitcoin’s underlying network remains exceptionally robust, often referred to as its builds in terms of security, decentralization, and adoption metrics:
The network hashrate has hovered near or above 1 Zettahash/s (1,000 EH/s) in recent periods, reflecting massive computational power securing the blockchain. Mining difficulty reached all-time highs in 2025 but saw a modest dip in early 2026 to 146 trillion, with further adjustments projected. This self-adjusting mechanism keeps block times near the 10-minute target.

Despite profitability pressures post-2024 halving; block reward now 3.125 BTC, efficient miners and energy strategies have sustained high hashrate, with the U.S. leading in share. Record difficulty and hashrate make attacks prohibitively expensive. Long-term holder behavior is strong—coins held >1 year hit ATHs, reducing sell-side pressure and shrinking effective float.

Exchange reserves have declined, indicating withdrawal to self-custody, whale accumulation has resumed in periods, and address growth shows broadening participation. U.S. retail crypto adoption rebounded in early 2026. Keep an eye on fresh statements from Trump or Iranian officials—the short extension means volatility could persist. Crypto moves like this are driven by sentiment as much as fundamentals, so headlines will keep dominating in the near term.

Crypto Market Making — Types and Roles

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If you have ever traded on a highly liquid cryptocurrency exchange, you have indirectly benefited from their crypto solutions for market makers — programs and tools that trading platforms offer to professional liquidity providers for their efficient operation. That may include APIs, sub-accounts, fee rebates, and colocation solutions for market makers to update quotes quickly, handle large trade amounts, maintain stable markets, and, of course, earn profit.

In crypto market making, infrastructure plays a central role. When trading platforms support professional market makers with proper technologies and tools, they ensure their order books remain tradable and active. It helps retain traders and attract more retail and institutional clients, for a stable market always attracts more participants. For a trader, that means fast order execution, tight pricing, and a predictable trading environment. And in a market that never sleeps, such a reliable infrastructure is what keeps trading efficient.

Market making on Centralized and Decentralized Exchanges (CEXs/DEXs)

In essence, crypto market making is the process of quoting bids and asks at the same time. To make a profit, a market maker places buy orders below the current price and sell orders a bit higher. The difference is called bid?ask spread; it is tiny, but with big volumes of trades executed, it becomes the main way market markets generate profit, while at the same time maintaining market efficient functioning.

With CEX (centralized execution model), firms use algorithms and bots to place quotes nonstop, reacting swiftly to changing volatility, order flow, and news background. This helps keep order books active, markets healthy, and gives traders the opportunity to execute minimizing price slippage.

On DEX exchanges, market makers don’t rely on order books. Automated market makers (AMMs) operate on liquidity pools, while traders swap against the assets in the pool. LPs (liquidity providers) fill those pools with assets to maintain trading activity. The goal is the same — adding liquidity and building a stable trading environment.

How Market Makers Benefit Crypto Liquidity

Here are the benefits of market making:

  • Improved liquidity. This makes it easy to buy and sell assets for other traders, without pushing the market prices.
  • Price slippage minimisation. This helps traders to avoid price jumps during volatile market trends.
  • Tight bid?ask spread, lowering trading costs for market participants.
  • Price discovery. Market makers constantly update quotes based on present market conditions. This helps form prices for cryptocurrencies.

At the same time, market making may involve certain risks, including potential reliance on specific strategies or providers, as well as sensitivity to changing market conditions, particularly during periods of high volatility or low liquidity.

So market makers are not just background participants; they play an important role in supporting an active and stable market. In their absence, trade execution may become slower, pricing may be less predictable, and overall trading conditions may be less efficient. For anyone engaged in trading in this market, understanding how it functions is essential.

Kalshi Suspension of 3 US Congressional Candidates Shows its Desire to Fight Against Insider Trading

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Kalshi, a CFTC-regulated prediction market platform, has announced that it fined and suspended three U.S. congressional candidates for five years after they or attempted to bet on their own election races, which the company called political insider trading.

The Three Candidates Are:

Mark Moran independent running for U.S. Senate in Virginia — Faced the largest penalty: a $6,229.30 fine plus any profits from the trades. He reportedly bet about $100 on himself in October and refused to settle, leading to formal disciplinary action. He later acknowledged on social media that he traded $100 on myself.

Ezekiel Enriquez; Republican who ran in a Texas U.S. House primary — Settled with a smaller fine around $780 in some reports and a five-year suspension. His attempted trade was reportedly blocked by Kalshi’s safeguards. Matt Klein; Democratic Minnesota state senator running for U.S. House — Settled with a small fine reported as ~$539–$780 and a five-year suspension.

Two of the cases (Klein and Enriquez) were resolved via settlement, where the candidates acknowledged violating Kalshi’s rules. Moran’s case went to formal disciplinary action because he stopped responding after initially acknowledging the trades. Kalshi has introduced new safeguards specifically to detect and block political candidates from trading on their own races, flagging these incidents through internal probes.

The company compared it to insider trading in traditional financial markets, stating: Just like in traditional financial markets, bad actors will try to cheat. Robert DeNault, Kalshi’s head of enforcement, noted these were caught thanks to the new rules approved by the Commodity Futures Trading Commission (CFTC), which oversees prediction markets.

The bets were relatively small around $100 in at least one case, but the enforcement highlights growing scrutiny of prediction markets like Kalshi and Polymarket amid the 2026 midterm primaries. Some politicians have called for broader restrictions or bans on such activity, arguing it raises ethical concerns about using non-public campaign information. This appears to be the most aggressive action so far by a major prediction platform against candidates betting on themselves.

No criminal charges are mentioned—it’s platform-level enforcement. Kalshi’s disciplinary notices are public on its site. The CFTC regulates prediction markets in the U.S. primarily through event contracts also called information contracts or binary outcome contracts. These are derivatives whose payoff depends on the occurrence or non-occurrence of a specific real-world event, such as election results, economic indicators, sports outcomes, or weather events.

Platforms like Kalshi operate as CFTC-registered Designated Contract Markets (DCMs), treating many of these contracts as swaps under the broad definition added by the Dodd-Frank Act (2010). Event contracts fall under CFTC oversight when traded on registered exchanges. The CFTC has exclusive jurisdiction over these derivatives on DCMs, which has been asserted in disputes with state gambling regulators. Event contracts are not defined explicitly in the CEA but are generally binary (yes/no) or graded payouts based on an excluded commodity.

Dodd-Frank Act changes: Expanded the swap definition to include agreements dependent on the occurrence and non-occurrence of events with potential financial, economic, or commercial consequences. This enabled broader prediction market activity while adding anti-manipulation rules.

Historically, the CFTC used this to block some political contracts e.g., 2012 order on certain election contracts and 2023 disapproval of congressional control contracts, later challenged successfully in court. Under the current framework, the agency has withdrawn prior restrictive proposals and adopted a more permissive stance toward political and sports event contracts, provided they meet other standards. An ongoing Advance Notice of Proposed Rulemaking (ANPRM) from March 2026 seeks input on further refinements, including which contracts might still be barred.

Contracts must be submitted for CFTC review via self-certification (Rule 40.2) or approval (Rule 40.3), with possible 90-day review if they potentially violate the above. DCMs offering prediction markets must comply with 23 statutory Core Principles in the CEA.

The most relevant include: Contracts must not be readily susceptible to manipulation. Exchanges should avoid products where a single person or small group can easily influence the outcome favoring aggregate outcomes over single-player prop bets in sports. Real-time monitoring and surveillance are required. Core principle 4: Prevent market manipulation, price distortion, and disruptions. This includes audit trails and enforcement against abusive practices.

Exchanges must have compliance programs, including surveillance, position accountability, and rules against fraud. They are encouraged to coordinate with integrity monitors and use official data sources. Traders must follow exchange rules. Violations can lead to account freezes, fines, disgorgement, suspensions as seen in the recent candidate cases, and potential CFTC/DOJ action.

While small bets may trigger internal flags, larger or patterned activity increases scrutiny. Prediction markets are not unregulated gambling; they are derivatives with federal oversight. The framework is principles-based rather than highly prescriptive, allowing flexibility but requiring exchanges to demonstrate compliance.

 

 

 

 

 

DoorDash Integrating Stablecoin Payouts for its Merchants and Drivers 

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DoorDash is integrating stablecoin payouts for its merchants like restaurants and other partners and drivers (Dashers) via Tempo, a payments-focused blockchain developed with backing from Stripe and Paradigm.

This is not a full replacement for traditional fiat payments like bank deposits or instant transfers, but an optional or piloted feature focused on faster, cheaper global settlements. It targets DoorDash’s complex three-sided marketplace; customers, merchants, and drivers across more than 40 countries, where cross-border delays and fees have been pain points.

DoorDash has been a design partner with Tempo since September 2025. They’re building stablecoin-powered infrastructure on Tempo; a Layer-1 blockchain optimized for high-speed, low-cost stablecoin payments with sub-second finality for payouts. Tempo’s mainnet launched around March 2026. The focus is on merchant revenue distribution and Dasher earnings, especially in international markets where traditional banking rails are fragmented and slow.

Payouts that currently take 1–5 business days or longer for cross-border could settle in seconds or near-instantly, 24/7. Lower fees by reducing intermediaries, which helps gig workers and merchants with cash flow. Particularly useful for DoorDash’s operations in 40+ countries, handling complex flows like refunds or splits more efficiently.

It’s in a testing and pilot phase, starting with merchant payouts in international markets and extending to drivers. Drivers would likely have the option to receive part of earnings in stablecoins via connected wallets, rather than it being mandatory. No full rollout date has been publicly confirmed yet.

DoorDash co-founder and leadership has noted that faster, more affordable money movement is a no-brainer for the ecosystem. This is one of the more prominent examples of stablecoins moving into mainstream gig-economy and enterprise payments; alongside companies like Deel, Visa, and Mastercard exploring similar rails. It leverages stablecoins likely dollar-pegged ones like USDC for their stability and efficiency without the volatility of other crypto.

Tempo positions itself as payment infrastructure rather than a trading chain, which aligns with real-world use cases like this. It’s optional for participants, so Dashers and merchants who prefer traditional banking can continue as before. Regulatory, tax, and wallet integration details will matter for adoption—especially for drivers in different jurisdictions.

Stablecoins are increasingly seen as practical rails for faster settlement in high-volume platforms, potentially pressuring legacy payment systems on cost and speed. For merchants it means faster cash flow — Payouts settle in seconds vs. 1–5+ business days traditionally, especially helpful for cross-border operations in 40+ countries.

Reduced fees from intermediaries and FX spreads on international settlements. Easier handling of refunds, order changes, and multi-party splits in DoorDash’s complex marketplace. For drivers it means near-instant access to earnings — Option to receive part of pay in stablecoins 24/7, versus waiting days for bank transfers. This improves daily cash flow for those relying on quick payouts.

Lower processing/cross-border fees which can hit 2–10% in some markets, plus better access for underbanked drivers in regions with limited banking. Not mandatory; traditional banking remains available. Cheaper global payouts reduce overall operational expenses in a high-volume, multi-country model.

Helps attract and retain merchants and drivers by offering faster, more affordable money movement — described by co-founder Andy Fang as a no-brainer for the ecosystem. Better suited for complex three-sided flows like customers, merchants, drivers and fragmented regional rails.

One of the largest real-world uses of stablecoins for gig-economy payouts, focusing on practical infrastructure rather than speculation. It complements traditional systems. Adoption depends on wallet ease-of-use, local regulations, tax implications, and seamless fiat conversion.

Early focus is on cross-border pain points. The move targets speed, cost, and global reach without disrupting core operations. Full impacts will depend on pilot results and rollout scale.

Musk’s Terafab Bet Hands Intel Tesla As First Major Customer For 14A Chip Technology — But Execution Risks Loom Over A Trillion-Dollar Vision

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Elon Musk has effectively handed Intel a potential lifeline in its effort to become a credible contract chip manufacturer, tying the company’s unproven 14A process to one of the most ambitious and uncertain industrial bets currently in development.

The plan, outlined by Musk, would see Tesla rely on Intel’s next-generation node for chips produced at “Terafab,” a proposed AI-focused manufacturing complex in Austin. If executed, the arrangement would give Intel its first marquee external customer for a process technology that sits at the core of its turnaround strategy. The company has struggled to gain traction in foundry services, where TSMC maintains a dominant position.

Ben Bajarin, head of technology consultancy Creative Strategies, said that Intel’s 14A technology could “turn out to be a bigger deal for Intel than folks thought.”

“It’s important to have multiple partners ?as early design partners to help clean the pipe and work through needed learnings at the leading ?edge. They will definitely ?have scale, so a great first non-Intel customer,” Bajarin said.

At face value, the arrangement addresses a structural weakness in Intel’s turnaround plan. The company’s pivot into contract manufacturing has been constrained not by rhetoric but by the absence of large external clients willing to commit to unproven nodes. In that context, Musk’s endorsement carries disproportionate weight. It provides early validation for a process technology that must compete directly with the deeply entrenched ecosystem of TSMC, whose dominance rests not only on technical leadership but on long-standing relationships with high-volume customers.

Musk indicated that the move is good news for Intel shareholders.

“Given that by the time Terafab scales up, 14A will be probably fairly mature or ready for prime ?time,” Musk said. “14A seems like the ?right move, and we have ?a great relationship with Intel,” he said.

Intel’s leadership has framed the foundry push in existential terms. Chief executive Lip-Bu Tan has made clear that failure to attract outside demand could force a retreat from the business. Musk’s Terafab proposal, even in its early and loosely defined state, begins to alter that narrative. It gives Intel a development partner at the leading edge, allowing it to refine yields, test design flows, and demonstrate that its roadmap can attract non-captive demand.

Yet the strength of that signal is inseparable from the credibility of the Terafab project itself — and that is where uncertainty dominates.

Musk’s vision stretches well beyond a conventional chip fabrication facility. Terafab is positioned as a vertically integrated compute platform spanning electric vehicles, humanoid robotics, and what Musk has described as future space-based data centers, an ambition tied to SpaceX. The scale is unprecedented. Musk has suggested the facility could eventually deliver one terawatt of annual compute capacity, a figure that would exceed the current aggregate output of U.S. data infrastructure.

That projection, however, exposes a widening gap between ambition and feasibility. Industry estimates place the capital expenditure required to support such capacity in the range of $5 trillion to $13 trillion. For context, that would eclipse the cumulative global spending on semiconductor fabrication over decades. Even hyperscale cloud providers, including Amazon, Microsoft, and Google, which collectively dominate AI infrastructure investment, operate within far more incremental expansion cycles.

The absence of clarity around Terafab’s financing structure raises additional questions. It remains unclear whether Tesla, SpaceX, external partners, or some hybrid arrangement would bear the cost of fabrication equipment, which alone can run into tens of billions per facility. Nor has Musk detailed who would operate the fabs — a non-trivial issue in an industry where process expertise and yield optimization determine profitability.

The move is the latest example of Tesla’s push to incorporate vertically integrated compute into automotive manufacturing. The company has increasingly positioned itself as an AI and robotics player, with custom silicon at the core of its autonomy and training stack. Bringing chip production closer to its ecosystem could, in theory, reduce dependency on third-party suppliers and tighten control over performance optimization.

But that logic collides with capital intensity. Tesla’s decision to sharply increase spending underscores the scale of the bet, and investors have shown caution. The muted reaction in its share price suggests persistent concerns about execution discipline, particularly given Musk’s history of aggressive timelines that have often required revision.

The calculus is more straightforward for Intel, though not without risk. Even limited engagement with Tesla provides tangible benefits. Advanced process nodes require early adopters willing to co-develop designs and absorb initial inefficiencies. Tesla’s demand, spanning autonomous driving chips, robotics processors, and AI accelerators, could supply meaningful, if not industry-defining, wafer volumes.

Analysts note that Tesla’s chip consumption does not yet approach that of Nvidia or Apple, whose scale underpins the economics of leading-edge foundries. However, it is sufficiently large to matter in the context of Intel’s current position. More importantly, it signals to the market that Intel’s technology is attracting interest beyond its internal product lines — a prerequisite for winning additional clients.

There is also a geopolitical layer to the partnership. As governments push to localize semiconductor supply chains, a U.S.-based collaboration between Intel and Tesla aligns with broader industrial policy objectives. Washington has already committed significant subsidies to domestic chip production, and projects that promise to anchor advanced manufacturing onshore are likely to attract policy support, even if indirectly.

Still, the timeline remains opaque. By the time Terafab could realistically scale, Intel’s 14A process would need to be not just viable, but competitive on performance, power efficiency, and cost — metrics where TSMC has historically set the benchmark. Any slippage in Intel’s roadmap would compound the already considerable uncertainty surrounding Tesla’s plans.

In practical terms, Musk’s announcement does not resolve Intel’s foundry challenge. It only reframes it. The company now has a high-profile prospective partner, but one whose own project carries execution risk at a scale rarely seen in industrial history.