Bitcoin Price News: BTC Plunges Below $70,000 as Monad Defies Trend; DeepSnitch AI Foresees Stunning 100x Crypto Eruption by 2026

Global cryptocurrency markets experienced significant divergence on April 10, 2025, as the flagship digital asset, Bitcoin (BTC), fell below the critical $70,000 psychological support level. This decline occurred amidst a broader sell-off in technology equities, highlighting the persistent correlation between traditional tech stocks and crypto assets. Conversely, the layer-1 blockchain project Monad demonstrated notable resilience, posting gains against the prevailing market sentiment. Meanwhile, advanced analytics from the DeepSnitch AI platform are projecting a radically different long-term trajectory, suggesting the road ahead could lead to a seismic, 100x returns eruption across select crypto sectors by 2026.

Bitcoin Price Analysis: Breaking Down the $70,000 Support

The descent of Bitcoin below $70,000 marks a pivotal moment for short-term market structure. Analysts from firms like CoinMetrics and Glassnode point to several concurrent factors. Primarily, a sharp correction in major technology indices, including the NASDAQ-100, triggered risk-off sentiment across speculative asset classes. Consequently, institutional investors often reduce exposure to correlated high-beta assets like Bitcoin during such periods. On-chain data reveals increased movement from older wallets to exchanges, a metric typically associated with selling pressure.

Furthermore, network fundamentals showed mixed signals in the preceding weeks. Although the hash rate remained near all-time highs, indicating robust network security, fee revenue experienced volatility post the latest halving event. This price action tests a key consolidation zone that had provided support throughout March 2025. Market technicians are now closely watching the next major support level around $67,500, a zone reinforced by the 50-day moving average and significant volume profiles.

The Tech Sell-Off Correlation: A Macro Perspective

The correlation between Bitcoin and technology stocks, while fluctuating, has remained notably positive since 2020. Research from the Federal Reserve Bank of San Francisco and major investment banks has documented this relationship. The recent sell-off originated from revised expectations on interest rate cuts and concerns over corporate earnings growth. As liquidity conditions tightened marginally, capital rotated out of perceived risk assets. This macro-environmental context is crucial for understanding Bitcoin’s price movement beyond mere crypto-specific news.

Monad’s Counter-Trend Gains: Examining the Resilience

In stark contrast to Bitcoin’s decline, Monad (MONAD) recorded appreciable gains. This performance underscores a market increasingly capable of differentiating between assets based on specific fundamentals. Monad is a high-performance Ethereum-compatible layer-1 blockchain that promises 10,000 transactions per second through parallel execution and superscalar pipelining of its Ethereum Virtual Machine (EVM).

The project’s recent gains can be attributed to two main developments. First, the successful launch of its final testnet phase attracted developer attention, with over 200 projects reportedly building on the network. Second, strategic partnerships with decentralized finance (DeFi) infrastructure providers were announced, enhancing its ecosystem utility. This demonstrates a maturation in investor approach, where capital flows toward platforms demonstrating technical milestones and growing adoption, even during broader market downturns.

• Parallel Execution: Monad processes transactions concurrently, unlike Ethereum’s sequential model.
• EVM Compatibility: Allows developers to port existing Ethereum applications with minimal changes.
• Developer Growth: A 40% increase in committed projects quarter-over-quarter.

DeepSnitch AI’s 2026 Projection: Data Behind the 100x Eruption Thesis

The most provocative analysis comes from DeepSnitch AI, a quantitative analytics platform specializing in on-chain and social sentiment data. Its models, which incorporate machine learning and network effect simulations, suggest the current volatility is a precursor to a massive capital reallocation event. The platform’s “Eruption Index” forecasts potential 100x returns for a basket of fundamentally strong, low-market-cap protocols by 2026.

DeepSnitch AI’s thesis is not based on speculation but on modeling several converging data trends. The platform analyzes developer activity, protocol revenue sustainability, token holder distribution, and governance participation. Its 2025 Q1 report indicated that while large-cap assets like Bitcoin consolidate, capital is gradually accumulating in innovative sectors like decentralized physical infrastructure (DePIN), modular blockchain components, and AI-agent economies. The predicted “eruption” refers to the point where network effects in these niches achieve critical mass, triggering exponential value accrual.

Expert Commentary on AI-Driven Market Predictions

While AI-driven predictions are gaining traction, experts urge cautious interpretation. Dr. Elena Vance, a computational finance researcher at Stanford University, notes, “AI models like DeepSnitch excel at pattern recognition across massive datasets that humans cannot process. However, their forecasts are probabilistic scenarios, not certainties. They are powerful tools for identifying asymmetric opportunities but must be weighed against traditional fundamental and macroeconomic analysis.” The key insight is that such tools highlight where innovation and activity are concentrated, which has historically been a leading indicator of value creation in the blockchain space.

The Road to 2026: Key Catalysts and Potential Risks

The path toward any potential market eruption is fraught with both catalysts and risks. On the catalyst side, regulatory clarity in major jurisdictions like the EU (under MiCA) and the U.S. could unlock institutional capital. Additionally, the full integration of blockchain scalability solutions, including layer-2 rollups and new layer-1s like Monad, could drive user adoption beyond speculation into everyday utility.

Conversely, significant risks persist. Persistent macroeconomic inflation or a deep recession could prolong risk-off sentiment. Regulatory crackdowns in key markets or critical failures in major protocols could severely damage trust. Furthermore, the “100x” prediction inherently applies to a small subset of projects; the majority of cryptocurrencies may not survive or thrive. Investors must conduct rigorous due diligence, focusing on protocols with clear use cases, sustainable tokenomics, and active, transparent development.

Conclusion

The current Bitcoin price movement below $70,000 reflects a complex interplay of macroeconomic forces and market sentiment. However, the simultaneous strength in projects like Monad reveals a market evolving to reward specific innovation. The long-term projection from DeepSnitch AI, while ambitious, underscores a data-informed belief in the transformative potential still embedded within the cryptocurrency sector. As the industry moves toward 2026, the divergence between broad market indices and fundamental, utility-driven blockchain projects will likely become the central narrative, defining the next phase of growth and potential eruption.

FAQs

Q1: Why did Bitcoin fall below $70,000?
A1: Bitcoin’s drop is primarily attributed to a correlated sell-off in technology stocks, driven by revised interest rate expectations and a short-term shift to risk-off sentiment among institutional investors. On-chain data also showed increased selling pressure from long-term holders.

Q2: What is Monad, and why did it gain value?
A2: Monad is a high-performance, Ethereum-compatible layer-1 blockchain. Its gains are likely due to successful technical milestones, like its testnet launch, and growing developer adoption, signaling investor confidence in its specific fundamentals despite a weaker broader market.

Q3: What is DeepSnitch AI, and should I trust its 100x prediction?
A3: DeepSnitch AI is a quantitative analytics platform. Its prediction is a data-driven probabilistic scenario, not a guarantee. Such models identify high-potential sectors based on activity metrics but should be one input among many in an investment decision, not the sole basis.

Q4: What does a ‘100x crypto eruption’ mean?
A4: The term refers to a hypothetical scenario where a select group of cryptocurrency projects experiences a hundredfold increase in value. This would likely require mass adoption of their underlying technology, driven by powerful network effects and real-world utility, not mere speculation.

Q5: What are the biggest risks to the crypto market before 2026?
A5: Key risks include adverse global macroeconomic conditions, stringent or unclear regulations in major economies, security failures in critical infrastructure, and a failure to achieve meaningful user adoption beyond trading and speculation.