Best Cryptos to Buy Now: 5 Projects to Watch as Bitcoin Dips Below $70,000

Cryptocurrency market analysis dashboard showing Bitcoin volatility and five altcoin projects for 2026.

Best Cryptos to Buy Now: 5 Projects to Watch as Bitcoin Dips Below $70,000

Global, March 2026: The cryptocurrency market enters a period of heightened volatility as Bitcoin, the leading digital asset, breaks below the psychologically significant $70,000 threshold. This movement coincides with a major regulatory announcement from South Korea, creating a complex landscape for investors. In this environment, analysis shifts toward foundational projects with tangible utility. This report examines five such cryptocurrencies—DeepSnitch AI (DSNT), AWE, Bittensor (TAO), Golem (GLM), and Arweave (AR)—that are drawing attention for their underlying technology and market position during this corrective phase.

Market Context: Bitcoin’s Retreat and Regulatory Headwinds

Bitcoin’s descent from its recent highs reflects a confluence of macro and sector-specific factors. Traders often cite profit-taking after a sustained rally, shifting liquidity conditions, and broader economic indicators as primary drivers. The move below $70,000 acts as a key technical signal, often triggering automated sell-offs and increasing market-wide caution. Concurrently, the Financial Services Commission (FSC) of South Korea, a pivotal crypto market, announced a comprehensive tightening of digital asset regulations. These new rules focus on enhancing investor protection, demanding stricter compliance from exchanges, and increasing oversight of asset listings. Market analysts observe that such regulatory developments, while potentially positive for long-term legitimacy, frequently induce short-term uncertainty and risk-off sentiment across global trading venues.

Analytical Framework: Evaluating Projects Amidst Volatility

During market downturns, a fundamental analysis becomes crucial. This evaluation moves beyond price speculation to assess a project’s core technology, real-world adoption, development activity, and tokenomics. The selected projects represent distinct verticals within the blockchain ecosystem: decentralized artificial intelligence, computing power, and permanent data storage. Their resilience often correlates with ongoing developer contributions, active network usage, and clear roadmaps, rather than speculative trading alone. The following analysis provides a structured comparison based on these fundamental metrics.

Comparative Overview of Five Cryptocurrency Projects
Project Primary Focus Key Metric Recent Development Focus
DeepSnitch AI (DSNT) Decentralized AI Security & Audit Number of smart contracts audited Expansion of audit modules for DeFi protocols
AWE Decentralized Computing Network Total Compute Power Rented Integration with academic research clusters
Bittensor (TAO) Decentralized Machine Learning Subnetworks (Subnets) Active Incentive mechanism adjustments for model training
Golem (GLM) Distributed Computing Power Provider Network Size Support for new rendering and scientific workloads
Arweave (AR) Permanent, Low-Cost Data Storage Total Data Stored Permanently Growth of the “permaweb” application layer

The South Korean Regulatory Shift: Implications for the Market

South Korea’s new regulatory stance mandates stricter Know-Your-Customer (KYC) and Anti-Money Laundering (AML) procedures for all virtual asset service providers. Furthermore, exchanges must implement more rigorous due diligence before listing new tokens, potentially slowing the influx of new projects. For the projects listed, those with clear utility, established development teams, and transparent operations are generally viewed as better positioned to navigate this evolving compliance landscape. The regulations may indirectly benefit projects perceived as less speculative by encouraging a focus on infrastructure and technological substance over short-term token price action.

Deep Dive: DeepSnitch AI (DSNT) and the AI Security Niche

DeepSnitch AI operates in the emerging niche of decentralized AI-powered security for blockchain ecosystems. The platform utilizes a network of AI models to audit smart contract code, detect vulnerabilities, and monitor deployed contracts for anomalous behavior. The $DSNT token facilitates payments for audit services and rewards participants who contribute to the training and validation of the security models. Network activity metrics, such as the volume of code audited and the number of vulnerabilities identified, provide tangible measures of utility. Discussions among some investors regarding potential value appreciation often reference the project’s total addressable market—the entire smart contract security sector—and its early-mover advantage in decentralizing this service. However, as with all early-stage projects, its long-term success depends on sustained technological execution, adoption by developers, and competitive positioning.

Examining the Decentralized Compute Trio: AWE, Bittensor, and Golem

The demand for computational resources, particularly for AI and complex rendering, continues to grow. This trio addresses this demand through different models.

  • AWE focuses on creating a marketplace for underutilized computing power, targeting enterprises and researchers seeking cost-effective solutions for batch processing and simulations.
  • Bittensor (TAO) takes a specialized approach, creating a decentralized network where machine learning models train collaboratively and are rewarded based on the informational value they provide to the collective network.
  • Golem (GLM), one of the earlier projects in this space, provides a decentralized infrastructure for computations that require significant CPU power, such as CGI rendering, scientific calculations, and machine learning tasks.

Their performance is increasingly tied to measurable adoption, such as the amount of compute power sold, the number of active researchers on the network, or the revenue generated for network providers.

The Data Layer: Arweave’s Persistent Storage Proposition

Arweave offers a fundamentally different value proposition: permanent and low-cost data storage. By using a novel blockchain-like structure called the “blockweave,” it incentivizes miners to store the entire history of data forever. This has found product-market fit for hosting decentralized application front-ends, storing NFT metadata immutably, and archiving critical historical data. The key metric for Arweave is the amount of data stored per unit time and the growth of its “permaweb,” the layer of applications built permanently on its storage. In volatile markets, its model, which involves a one-time, upfront payment for perpetual storage, presents a unique and often counter-cyclical economic case.

Investment Psychology During a “Degen Dip”

The term “Degen Dip,” originating from online trading communities, colloquially refers to a sharp market decline that tests the conviction of speculative investors. Professional analysts caution that periods of high volatility require disciplined risk management. This includes:

  • Conducting independent research beyond social media sentiment.
  • Understanding the specific use case and competitors for any project.
  • Assessing personal risk tolerance and avoiding overexposure to any single asset.
  • Recognizing that past performance, especially short-term explosive gains, does not guarantee future results.

Conclusion

The current market phase, characterized by Bitcoin’s pullback and regulatory developments in key jurisdictions like South Korea, underscores the importance of fundamental analysis. For investors evaluating the best cryptos to buy now, projects like DeepSnitch AI (DSNT), AWE, Bittensor (TAO), Golem, and Arweave present cases built on technological utility in growing sectors—AI security, decentralized compute, and permanent storage. Their long-term trajectories will be determined by adoption metrics, development progress, and their ability to execute within an increasingly defined regulatory environment, rather than short-term price movements alone.

FAQs

Q1: Why is Bitcoin breaking below $70,000 significant?
Bitcoin’s price is closely watched by the entire cryptocurrency market. Falling below a major round-number support level like $70,000 often triggers automated selling, increases volatility, and signals a shift in short-term market sentiment from bullish to cautious or bearish.

Q2: What is the impact of South Korea’s new crypto rules?
South Korea’s tighter regulations aim to increase investor protection and market integrity. The immediate impact often includes increased compliance costs for exchanges and potential delistings of non-compliant tokens, which can reduce trading liquidity and increase uncertainty in the short term.

Q3: What does DeepSnitch AI (DSNT) actually do?
DeepSnitch AI is a decentralized platform that uses artificial intelligence to audit smart contract code for security vulnerabilities and monitor live contracts for suspicious activity. Its goal is to provide automated, scalable security services for blockchain developers.

Q4: How do decentralized compute projects like Golem and AWE differ?
While both provide decentralized computing, they often target different workloads. Golem has historically focused on CPU-intensive tasks like rendering and scientific computing. AWE’s architecture may target different compute paradigms or market segments. The specific technical specifications and use cases supported by each network are key differentiators.

Q5: Is Arweave’s data really stored forever?
Arweave’s economic and cryptographic model is designed to incentivize miners to store all data permanently. It uses a novel consensus mechanism that rewards miners for recalling random old data, ensuring replication. While no system can offer an absolute, physics-defying guarantee, its design makes data permanence its core value proposition.

Q6: What should I research before considering any crypto investment during a dip?
Focus on the project’s whitepaper, GitHub repository activity, the background of the core team, on-chain metrics (like active addresses, transaction volume), the clarity of its token utility, and its competitive landscape. Avoid decisions based solely on price predictions or social media hype.

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