Cryptocurrency Prices, Charts & Market Capitalizations

3 hours ago

Model: Bitcoin Volatility Cooling — Skeptics Point to Underwhelming 5-Year Returns

Bitcoin’s volatility appears to be cooling, according to one market model — but skeptics point to underwhelming multi-year returns. Adam Livingston, writing on X, says Bitcoin’s price swings are “dampening” and that the “funnel is closing,” signaling a move toward equilibrium around its long-term power-law center. Livingston put the crypto about −0.94σ below that center, calling it “below trend and below fair value.” He argued the narrowing range implies that spectacular blowoff tops are becoming less common and deep crashes are losing severity as the market matures. Putting numbers behind that view, Livingston highlighted a compression in Bitcoin’s trading band: the 5.3σ range seen in 2011–2013 has reportedly tightened to roughly 1.4σ in the 2021–2025 window. He also pointed to the power-law model’s resilience through major events — the 2022 market crash, the FTX collapse, the 2024 recovery, the 2025 top and the current drawdown — and noted the model’s R² rose to 0.961, indicating a strong statistical fit to price history. Not everyone is convinced this maturing market narrative makes Bitcoin a superior long-term hold. Peter Schiff emphasized five-year returns in a contrasting take: Bitcoin up 12% over five years versus a 57.4% rise in the Nasdaq, 59.4% for the S&P 500, 163% for gold and 181% for silver. “If the appeal of Bitcoin is its superior long-term performance, why should anyone keep HODLing it?” he asked, framing the debate around relative performance versus traditional assets. The two viewpoints capture the current tension in crypto markets: a technical argument for lower volatility and greater structural maturity, versus a skeptical look at Bitcoin’s returns compared with stocks and precious metals. Read more AI-generated news on: undefined/news

3 hours ago

Crypto Trader Warns Bitcoin May Fall to $63K as Liquidity Sweeps, On-Chain Data Shows Selling

A well-followed crypto trader on X warned this week that Bitcoin could be headed lower — potentially testing the $63,000 area — after a series of liquidity-driven moves altered the market’s structure. What the trader is seeing - On April 4, X user KillaXBT laid out a weekly-timeframe setup that, in his view, favors more downside and volatility. He traces the sequence back about four weeks, when a sweep of external range highs preceded a rapid reversal and a bearish weekly close. - That reversal forced BTC to “rebalance,” rallying back toward roughly $71,500 to hunt late short positions before reversing down again — a classic liquidity sweep ahead of trend continuation, KillaXBT says. - With last week closing bearish and this week already clearing additional liquidity, the analyst argues the market’s recovery so far has been largely driven by leveraged positions. Given the existing bearish structure, he believes buy pressure could run out, exposing the $64,900 lows for another sweep and, in the mid-term, a breach of external range lows near $63,000. - The analyst also notes this downside scenario could set up an immediate reversal back toward about $72,800, where further selling may be waiting. On-chain signals back the near-term bearish case - On-chain analyst Joao Wedson (also on X) highlights behavior among short-term holders — investors who have held BTC for less than 155 days — showing they’ve been net sellers recently, as measured by the Short-term Holder Net Position Change metric. - Because this cohort tends to be more reactive to price moves, sustained selling from them can add meaningful bearish pressure and amplify declines, supporting the view that BTC could slide toward the $63,000 area before any substantial recovery. Key levels to watch - Support/exposure: $64,900 and $63,000 - Resistance/liquidity spots: ~$71,500 and ~$72,800 Context - At the time of writing, Bitcoin trades around $67,256, up roughly 0.5% over the past 24 hours. Traders should be mindful that liquidity hunts and leveraged flows can create sharp, fast moves — and that on-chain activity from short-term holders may increase downside momentum in the near term. Read more AI-generated news on: undefined/news

4 hours ago

Polymarket Pulls Iran Rescue Market After Lawmaker Backlash, Intensifying Regulatory Pressure

Polymarket shutters Iran rescue market after lawmaker backlash, regulatory pressure mounts Polymarket quietly removed a controversial prediction market tied to the rescue of two U.S. service members in Iran after fierce criticism from lawmakers and the public. The market, which let users speculate on when the U.S. would confirm the rescue of an F-15E crew shot down over Iran, was taken down shortly after it went live and after the aircrew were reported rescued. “What happened is disgusting,” Rep. Seth Moulton (D-Mass.) wrote on X, arguing the listing turned a military rescue into a financial wager. Moulton — who has already barred his staff from using platforms such as Polymarket and Kalshi — has pushed a hard line on prediction markets, warning that monetary incentives could skew policy decisions. Polymarket responded that the listing “did not meet its integrity standards” and was removed soon after it appeared. The firm said it is reviewing how the market passed its internal safeguards. A flashpoint in a broader fight over prediction markets The episode underscores growing scrutiny of prediction markets — especially those enabled by crypto rails — as they expand into politically sensitive territory. - Congressional action: A group of House Democrats recently proposed legislation to ban contracts tied to elections, war and other government actions. - Senate concerns: Multiple senators have urged the Commodity Futures Trading Commission (CFTC) to prohibit markets tied to individual deaths, citing national security and ethical concerns. - Regulator vs. states: The CFTC this week filed suits against three states it says are attempting to skirt federal oversight of prediction markets. Industry pressure and commercial momentum Regulatory and ethical concerns are colliding with commercial growth. Traditional and new players are moving into the space even as stakeholders push for limits and guardrails. - Sports and event operators are weighing in: The NFL has asked market operators to avoid contracts it views as objectionable or vulnerable to manipulation, such as bets tied to officiating calls or pre-known events. - Market expansion: Kalshi recently secured a license to offer margin trading to institutional investors, and big financial firms are eyeing the space — JPMorgan’s CEO Jamie Dimon has publicly signaled the bank is exploring entry. Why it matters for crypto and prediction markets This episode highlights the tension prediction-market operators face: balancing rapid product innovation and liquidity with reputational risk, legal exposure and ethical boundaries. For crypto-native platforms that rely on decentralized flows and cross-border customers, compliance lapses or controversial listings can invite swift backlash and regulatory intervention — potentially reshaping which contracts are allowed and how markets are governed. Polymarket’s removal of the Iran rescue market is a reminder that as prediction markets scale, they’re increasingly subject to the same political, legal and reputational forces that govern mainstream financial markets. Read more AI-generated news on: undefined/news

4 hours ago

AI Is Lowering the Cost of Crypto Hacks to Zero, Ledger CTO Warns

Artificial intelligence is dramatically tilting the economics of crypto security in favor of attackers, Ledger’s CTO warns — and the timing could not be worse. Charles Guillemet, chief technology officer at hardware wallet maker Ledger, told CoinDesk that AI tools are making it faster and cheaper to find and exploit vulnerabilities, eroding the long-standing security assumption that hacking should be harder and more expensive than defending. “Finding vulnerabilities and exploiting them becomes really, really easy,” he said. “The cost is going down to zero.” Why it matters now - High-profile exploits are mounting. This week Solana-based DeFi protocol Drift lost about $285 million in an exploit — one of 2026’s largest so far — and a week earlier yield protocol Resolv was hit for roughly $25 million. Over the last year, DefiLlama reports more than $1.4 billion in crypto was stolen or lost to attacks. - AI accelerates traditionally slow, technical tasks. Activities that once took expert researchers months — reverse engineering binaries, linking multiple vulnerabilities into a single exploit chain — can now be accomplished in minutes or seconds with the right prompts. - AI-generated code amplifies risk. As developers lean on generative tools, insecure patterns can propagate rapidly. “There is no ‘make it secure’ button,” Guillemet said. “We are going to produce a lot of code that will be insecure by design.” What this means for protocols and users - The stakes are higher for blockchain systems that control significant pools of funds. “You need to be perfect,” Guillemet warned teams building protocols — because small bugs in smart contracts or wallets can be catastrophic. - Traditional audits may no longer be sufficient. Guillemet recommends stronger defenses such as formal verification — using mathematical proofs to validate code correctness — which can catch issues audits miss. - Hardware-based security becomes more important. Devices that isolate private keys from internet-connected systems (hardware wallets) reduce exposure, he said: “When you have a dedicated device not exposed to the internet, it is more secure by design.” - Malware is getting smarter. Guillemet described attacks that scan compromised phones for seed phrases and drain funds without any user interaction, underscoring that compromise can start outside the blockchain layer. Practical takeaways for users and teams - Assume systems will fail: “You can’t trust most of the systems that you use,” Guillemet said. Treat wallets and services accordingly. - Move high-value holdings to cold storage and use hardware wallets for key custody. - Harden operational security: minimize where seed phrases and private keys are stored, enable multi-factor and multi-signature protections, and segregate sensitive workflows from general-purpose devices. - For teams: invest in formal methods, continuous security testing, and threat modeling that anticipates AI-augmented attackers. A widening security divide Guillemet expects a split: mission-critical systems such as wallets and major protocols will invest heavily and adapt, but much of the broader software ecosystem may struggle to keep pace. “It’s really easier to hack everything,” he said. Bottom line: AI is lowering the barrier to attack across the crypto stack, forcing developers, platforms and users to rethink defenses — from verified smart contract design to hardware isolation and stricter operational hygiene — before the next major heist. Read more AI-generated news on: undefined/news

8 hours ago

Bitcoin Capitulation? LTH SOPR Dips Below 0.8 as Long-Term Holders Realize ~25% Losses

Market watcher RugaResearch is flagging a worrying trend among Bitcoin’s long-term holders: they’ve been selling into losses at a sustained clip over the past month. What’s moving the needle RugaResearch points to the Long-Term Holder (LTH) Spent Output Profit Ratio (SOPR) — a metric that compares the price coins were last moved (their cost basis) to the price at which they’re being spent. SOPR above 1 means coins are being sold at a profit; below 1 means they’re being sold at a loss. Since March 11, LTH SOPR has dropped below 0.80 on seven separate occasions, signaling repeated capitulation events by holders who typically sit through volatility. Notable readings include: - 0.639 on March 11 - 0.723 on March 28 - 0.681 on March 30 - 0.753 on April 3 An LTH SOPR around 0.75 implies these holders are realizing losses roughly equal to 25% of their cost basis. Divergence with short-term holders RugaResearch highlights a growing divergence between long- and short-term holder behavior. Short-term holder (STH) SOPR stands at 0.996 — almost break-even — while the SOPR Ratio sits at 0.757. In plain terms: short-term traders are barely losing money, whereas many long-term holders (“diamond hands”) are squarely underwater. A notable share of the coins being sold has flowed to exchanges, which have posted net positive inflows over the past month. Why it matters The analyst warns that an LTH SOPR significantly below 1 can signal weakened conviction among long-term holders. Historically, frequent negative SOPR pulses have preceded major structural market shifts — though the outcome is ambiguous: continued downside (deeper losses) or the carving out of a price floor. Market context Bitcoin is trading around $67,390, up about 0.79% in the past 24 hours, but daily trading volume has slumped roughly 30.6% to $15.95 billion — a drop that suggests recent gains may lack broad participation. Sentiment remains deeply bearish: the Fear & Greed Index sits at 11, indicating extreme fear. Despite that, CoinCodex projects a rebound to about $72,284 within the next month, consistent with the range-bound action seen since early February. Takeaway The data show long-term holders are increasingly realizing losses while short-term traders hold near breakeven. That split, along with rising exchange inflows and thin trading volume, could presage either further downside or the start of a lower support zone — a market inflection many on-chain analysts will be watching closely. Read more AI-generated news on: undefined/news

8 hours ago

Tesla Misses Q1 Deliveries, Shares Drop 5.4% — Investors Turn to AI/FSD Catalyst

Tesla shares dropped 5.4% Thursday after the automaker reported Q1 2026 deliveries that fell short of expectations and raised fresh questions about demand. The numbers in brief - Deliveries: 358,023 vehicles (Wall Street consensus ~365,645) — a shortfall of roughly 7,600 units. - Production: 408,386 vehicles, leaving an inventory surplus of more than 50,000 cars. - Energy storage deployments: 8.8 GWh, down 38% from Q4 2025’s record 14.2 GWh. Why it matters The miss wasn’t a production issue — Tesla built far more cars than it delivered. Instead, the gap highlights weakening near-term demand. Analysts point to two big drivers: many buyers pulled purchases into Q4 2025 to capture the $7,500 federal EV tax credit before it expired, and some market observers have blamed CEO Elon Musk’s increasingly polarizing public profile for softer sales in Western markets. Tesla also quietly wound down Model S and X output during the quarter, reallocating those lines toward Optimus robot manufacturing, which may have weighed on higher-end vehicle availability. Wall Street reaction Goldman Sachs cut its price target on TSLA to $375 from $405 while keeping a Hold rating. Analyst Mark Delaney noted the tax-credit-driven timing shift as the main reason for the year-over-year U.S. sales drop, though he said some Model S and X demand remained through the end of their production runs. Truist also trimmed its target; Truist analyst William Stein emphasized that first-quarter auto deliveries and energy storage deployments lagged both Street and Truist estimates and highlighted the lack of updates on Tesla’s AI initiatives and new vehicles. What analysts say investors should watch Stein urged investors to focus on Tesla’s AI work — particularly Full Self-Driving (FSD) — arguing that AI developments matter more than quarterly vehicle counts for long-term cash generation and stock performance. That view echoes the broader market tension: the next major catalyst is Tesla’s Q1 earnings release on April 22, when investors will look for clarity on FSD, other AI projects, and product roadmaps as much as delivery figures. Where the Street stands Among 31 analysts covering Tesla, 13 are bullish, 11 are neutral, and 7 recommend selling. The consensus price target sits at $394.34, roughly 9.4% above Thursday’s close — signaling modest upside but not a stampede of optimism. Bottom line Q1’s delivery miss underscores a demand hangover from the EV tax-credit timing and raises questions about sales momentum, even as Tesla shifts production capacity toward robotics and leans into AI. For investors, deliveries matter — but Wall Street is increasingly watching Tesla’s AI and FSD progress to judge the company’s longer-term trajectory. Read more AI-generated news on: undefined/news

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