Bitcoin breaks through $46,000 for first time since January

cryptoslatePublished on 2022-03-28Last updated on 2022-03-27

Abstract

Bitcoin has just pumped to its highest level since January 4 to create a weekly close above $45,500 for the first time in 2022.

Bitcoin has just pumped to its highest level since January 4 to create a weekly close above $45,500 for the first time in 2022. The move is a bullish sign as BTC breaks the $44,500 resistance that has seen a rejection three times already this year.

Bitcoin 46k

Source: BTCUSD on TradingView

The breakout potentially validates the falling wedge pattern that could be seen on the daily chart as we have seen repeated higher lows all year. However, while technical analysis can give notable short-term trading signals, they are not always reliable indicators for long-term investing. There is no exact science to technical analysis. To get a complete picture of why Bitcoin may be breaking out, we need to look at the broader socio-economic environment.

The year has seen strong news for crypto, which has been in headlines worldwide, from donations to help Ukraine in the face of Russian aggression to positive sentiment from the E.U. and U.S. legislators.

Many believed we have moved out of the era of crypto prospecting and into a period of crypto adoption and blockchain infiltration into the mainstream. While Bitcoin may still be down 30% from all-time highs, it has weathered 2022 well with relatively low volatility by its own standards. Its correlation to the S&P500 recently hit a 17 month high, showcasing just how stable it has been.

Related Reads

Claude Code Introduces Dynamic Workflows: Enabling AI to Form Teams and Collaborate

Claude Code introduces dynamic workflows, enabling AI to coordinate teams of specialized agents for complex tasks. This transforms Claude from a code assistant into a programmable workbench. Workflows address key limitations of single-agent systems: agentic laziness (premature task completion), self-preferential bias (favoring own outputs), and goal drift (losing sight of original objectives). The system allows Claude to dynamically create execution frameworks using JavaScript. It can split tasks, dispatch parallel agents for isolated work (e.g., in separate worktrees), implement adversarial validation, run tournaments, and synthesize results. This multi-agent approach is valuable for tasks requiring deep research, factual verification, code migration, root cause analysis, large-scale triage, and qualitative sorting. Key patterns include: classify-and-route, fan-out-and-synthesize, adversarial verification, generate-and-filter, tournaments, and loop-until-done. While token usage is higher, workflows excel where tasks resemble programming—needing problem decomposition, isolated context, hypothesis testing, and handling many details. They extend Claude Code's utility beyond technical work to areas like business plan review, resume screening, and naming brainstorm. The feature is not a universal solution but points to a future where AI tool competitiveness depends on organizing reliable, reusable, and auditable execution flows for complex goals.

marsbitHá 37m

Claude Code Introduces Dynamic Workflows: Enabling AI to Form Teams and Collaborate

marsbitHá 37m

Hyperliquid, Wall Street's 24/7 Trading Convenience Store

Hyperliquid: The 24/7 Trading "Convenience Store" for Wall Street Hyperliquid, a decentralized cryptocurrency exchange, has become a go-to platform for Wall Street traders seeking to trade around the clock, especially during traditional market closures. Founded by Jeff Yan, a former quantitative trader, after the FTX collapse, the platform emphasizes user self-custody of assets. It offers a wide range of perpetual contracts—leveraged derivatives with no expiry—on assets from Bitcoin and crude oil to the S&P 500 and even pre-IPO companies like SpaceX. A notable example involves a hedge fund trader who capitalized on geopolitical news over a weekend, securing a 243% return on oil derivatives before markets reopened. The platform, run by just 11 employees, generated approximately $800 million in revenue last year, and its native token HYPE has seen significant growth. Its rise highlights the merging of traditional finance and crypto. While U.S. users are currently restricted, recent CFTC rule changes could open access. The platform is known for its transparency, having processed $10 billion in liquidations during a market crash while competitors faltered. Regulators warn of the high risks and complexity of perpetual contracts for retail investors. Key to its appeal is a strong community culture, direct engagement with founders, and a simple interface. Despite rules against VPN use, it attracts global users with its permissionless approach. Hyperliquid plans to expand into prediction markets and options, aiming to eventually host all financial activity.

marsbitHá 37m

Hyperliquid, Wall Street's 24/7 Trading Convenience Store

marsbitHá 37m

Who Funds the Agents?

**Summary: Who Funds AI Agents?** OpenAI recently shut down a feature allowing AI agents to shop for users, highlighting the challenge of creating a secure and regulated environment for agent-driven transactions. While payment infrastructure exists, a crucial governance layer—defining spending limits, fraud detection, tax handling, and return policies—is largely missing. The potential is enormous: AI agents already processed $73M across 176M transactions last year, with McKinsey forecasting this could grow to $3-5T in global consumer commerce by 2030. The core competition isn't just about processing payments, which can be very cheap (especially with crypto-based settlement), but about controlling the rules that govern agent spending. Key players like Stripe and Coinbase are racing to dominate this governance layer. Stripe's acquisition of wallet provider Privy allows it to set spending policies, identity checks, and human-in-the-loop approvals directly at the wallet level. Similarly, Coinbase's stack, including its x402 protocol and AgentKit, embeds governance rules. This vertical integration across settlement, wallet, and governance layers is becoming the dominant strategy. Control over the governance layer is where significant future value lies. If agents handle trillions in transactions, even a small fee for managing compliance, fraud prevention, and policy enforcement could generate billions in annual revenue. The companies that successfully integrate across the payment stack will capture value from idle agent balances, transaction fees, and governance services, positioning themselves as the foundational banks of the AI agent economy.

marsbitHá 1h

Who Funds the Agents?

marsbitHá 1h

Trading

Spot
Futures
活动图片