Jordi Visser

Rotate new capital into primary layer-1 blockchains like Bitcoin (BTC), Ethereum (ETH), and Solana (SOL), where a recent crypto index breakout indicates a near-term 15% upside potential for BTC.

Add equity exposure to market infrastructure providers like Coinbase (COIN) and Robinhood (HOOD) to capture expanding fee revenue as 24/7 trading and tokenized assets gain regulatory traction.

Supplement digital asset allocations with specialized AI and privacy tokens, specifically Bittensor (TAO), Near Protocol (NEAR), and Zcash (ZEC), to capture the growth of autonomous AI agent transactions.

Invest in Eli Lilly (LLY) as a prime healthcare beneficiary that is leveraging AI agent networks to accelerate scientific discovery and monetize intellectual property.

Maintain core holdings in mega-cap tech (MAG-7) and semiconductor leaders like NVIDIA (NVDA) and Marvell Technology (MRVL) for rate-insulated stability, while directing fresh investment capital toward software and crypto rails.

Buy Robinhood (HOOD) to capitalize on a projected 31% upside driven by rapid on-chain fee growth and its expansion into AI-powered digital finance.

Build core positions in Ethereum (ETH) as the primary settlement layer for the emerging tokenized economy, utilizing Arbitrum (ARB) for higher-upside exposure to growing Layer-2 transaction volume.

Hold key AI compute leaders like NVIDIA (NVDA) and Microsoft (MSFT) to benefit from sustained hardware demand and a 22% rise in enterprise chip rental rates that support strong corporate cash flows.

Maintain broad market exposure through the S&P 500 (SPY), as exponential AI productivity and corporate margin expansion continue to outweigh short-term interest rate and inflation volatility.

Consider establishing a 5% to 10% allocation in Bitcoin (BTC) to capitalize on an expected momentum breakout above $82,000, while setting stop-losses if it falls below its 200-day moving average. Complement this with high-beta layer-1 networks like Ethereum (ETH) and Solana (SOL), or use Robinhood Markets (HOOD) for stock-based exposure to the growing real-world asset tokenization trend. Anchor your core artificial intelligence allocation in NVIDIA (NVDA), which continues to show market leadership near all-time highs. Accumulate key hardware and semiconductor suppliers like Dell Technologies (DELL), Micron Technology (MU), and Marvell Technology (MRVL) on price dips over a 12-month investment horizon. Maintain broad equity exposure through the S&P 500 (SPX) and Nasdaq (QQQ), using recent market consolidation as a buying opportunity backed by strong corporate earnings growth.

Accumulate Bitcoin (BTC) on pullbacks toward the $58,000 support level to establish a favorable entry point in the premier digital store of value.

Maintain core holdings in Ethereum (ETH) to benefit from institutional real-world asset tokenization, while utilizing Solana (SOL) for high-upside exposure to high-speed settlement and autonomous AI microtransactions.

Buy dips in NVIDIA (NVDA) during valuation pullbacks rather than chasing price spikes, taking advantage of its dominant AI compute moat and projected 70% revenue growth.

Rotate capital into enterprise AI software leaders like Palantir Technologies (PLTR) as market momentum broadens from hardware chips into operational enterprise applications.

Gain exposure to the tokenized finance super-cycle by investing in digital infrastructure platforms like Coinbase (COIN) that enable 24/7 capital distribution and tokenized private credit yields.

Maintain long positions in Bitcoin (BTC) and Ethereum (ETH) as core macroeconomic hedges following their technical breakouts above their 200-day moving averages, using MicroStrategy (MSTR) for amplified stock-based upside. Buy Marvell Technology (MRVL) as a top-conviction AI hardware play offering projected 3x to 4x multi-year upside as custom silicon and cloud networking demand expands. Accumulate Eli Lilly (LLY) as a core growth stock over a five-year horizon, backed by robust obesity treatment cash flows and AI-powered drug development that could expand industry valuation multiples from 12x–15x toward 20x–25x. Overweight Silver Miners (SIL) ahead of physical Silver (SLV) as an undervalued, low-multiple hedge against fiat currency inflation. Take tactical positions in high-performance crypto infrastructure operators such as Bitdeer (BTDR), Riot Platforms (RIOT), Hut 8 (HUT), and Iris Energy (IREN) to capture combined exposure to digital assets and AI-driven data center demand.

Capitalize on recent market panics by buying high-conviction semiconductor stocks like Micron Technology ($MU**)** below $900, with a medium-to-long-term price target of $1,500 to $1,600.

Target supply-chain infrastructure leaders like Corning ($GLW**)**, which recently hit its 200-day moving average and secured massive partnerships including a $6 billion deal with Meta.

Focus your investments on major hyperscalers—such as Amazon, Google, and Microsoft—that boast a combined $1.7 trillion backlog driven by insatiable AI compute demand.

Maintain disciplined position sizes and use phased entry strategies, as structural market volatility will remain elevated above historical averages.

Capitalize on structural artificial intelligence demand by ignoring short-term free cash flow dips and buying market leaders in cloud and semiconductor infrastructure. Accumulate shares of Marvell Technology (MRVL) to capture upcoming earnings growth from optical and photonic infrastructure upgrades. Consider a tactical entry in Applied Optoelectronics (AOI) following its recent market correction to benefit from data networking trends. Prepare for mainstream institutional integration by establishing or adding to positions in major cryptocurrencies like Bitcoin (BTC) and Ethereum (ETH) ahead of late-year catalysts. Finally, monitor retail liquidity shifts by tracking sentiment indicators like Dogecoin (DOGE) alongside your core technology and crypto allocations.

Investors should view the current tech volatility as a "speed crash" rather than a bear market, using the 40% correction in momentum to scale into high-conviction semiconductor names. Micron (MU) is a top-tier buy as rising DRAM prices and structural memory shortages drive significant upward earnings revisions. Avoid legacy software providers like Salesforce (CRM) and Adobe (ADBE), as their downward-sloping 200-day moving averages signal they are being disrupted by the shift to AI agents. Ethereum (ETH) represents the purest play on the "agentic" revolution, as AI agents will likely use its smart-contract infrastructure and tokens as native currency. Expect a major breakout for Bitcoin (BTC) and the broader crypto sector in late Q3 or Q4 as global regulatory shifts and institutional adoption provide long-term tailwinds.

Investors should prioritize NVIDIA (NVDA) as a high-conviction entry point, as it is currently trading at its lowest valuation in a decade while holding key technical support. Focus on "scarcity" assets like Micron (MU), SK Hynix, and Samsung (SMSN) to capitalize on persistent global memory shortages expected to last through 2030. Apple (AAPL) and Meta (META) are primary plays for the next wave of growth in consumer AI agents, which is projected to drive a massive 24x increase in data consumption. In the digital asset space, Bitcoin (BTC) remains a "no-brainer" long-term hold as it transitions into the foundational layer for AI-driven commerce and global tokenization. For a tactical retail sentiment indicator, watch for Dogecoin (DOGE) to break above its 200-day moving average to signal the return of broader market participation.

Investors should use current pullbacks to the 50-day moving average as entry points for high-quality AI infrastructure stocks like NVIDIA (NVDA) and Marvell (MRVL). The "easy money" phase has passed for memory leaders like Micron (MU), so focus should shift toward the AI application layer, specifically Healthcare and Insurance companies like Eli Lilly (LLY) and Chubb (CB). Technical indicators suggest a potential bottom for Bitcoin (BTC), making it a high-conviction rotation play alongside Gold and Silver to hedge against U.S. debt debasement. Monitor regional banks via the KRE ticker, as AI-driven automation is expected to trigger a wave of acquisitions and margin improvements within the sector. Despite hawkish market fears, the deflationary impact of AI productivity suggests the Federal Reserve may be less aggressive with rate hikes than currently anticipated.

Investors should rotate away from expensive Mag-7 hyperscalers like Microsoft (MSFT) and Alphabet (GOOGL) toward the "receivers" of AI capital, such as Micron (MU) and Vertiv (VRT). Eli Lilly (LLY) is a high-conviction long-term play, positioned to potentially become the world’s largest company as it leverages AI for drug discovery and dominates the GLP-1 market. While Micron (MU) remains a strategic asset in the AI memory shortage, focus on its transition to subscription-like revenue models rather than expecting rapid 10x gains. Avoid "catching the falling knife" in Bitcoin (BTC) until it clears its 200-day moving average, though you should prepare for a 2025 surge driven by AI agents using crypto for autonomous transactions. For broader exposure, look to Small Caps (IWM) and industrial names like Caterpillar (CAT), which are benefiting from a market rotation that favors infrastructure and domestic growth over high-multiple tech.

Focus your portfolio on AI hardware "toll collectors" like NVIDIA (NVDA), Micron (MU), and Marvell (MRVL), which show stronger relative strength than software or big tech. Avoid or underweight hyperscalers like Microsoft (MSFT), Alphabet (GOOGL), and Meta (META), as they face shrinking multiples and massive depreciation costs from their infrastructure spending. Stay sidelined on Bitcoin (BTC) until the price breaks and holds above its 200-day moving average, as capital is currently rotating out of crypto and into AI. Consider exposure to Small Caps (IWM), which are hitting new highs driven by strong earnings growth and attractive valuations on a PEG ratio basis. Monitor the emerging 800-Volt DC Power theme as a critical play for next-generation data center infrastructure required by NVIDIA’s upcoming architectures.

Investors should consider rotating capital out of Magnificent 7 hyperscalers and into Entegris (ENTG) and MKS Instruments (MKSI), which serve as essential "chemical oil" providers for the next generation of semiconductor manufacturing. Eli Lilly (LLY) offers a high-conviction "catch-up" trade as AI accelerates drug discovery and biotech breakthroughs, outperforming a currently stagnant tech sector. Physical commodities like Silver and Copper are critical hedges against AI infrastructure inflation, with silver specifically poised for a "boom" driven by orbital data center demand. While Bitcoin (BTC) remains in a technical bear market below its 200-day moving average, investors should use this period to dollar-cost average in anticipation of AI agents using crypto rails this fall. Avoid high-valuation private AI model makers and instead monitor private secondary markets for SpaceX, which is emerging as a dominant force in global compute infrastructure.

Investors should consider Eli Lilly (LLY) as a primary play on the AI "application layer," with potential to become the largest U.S. company by the end of the decade through its proprietary AI-driven drug discovery. For infrastructure exposure, Marvell Technology (MRVL) offers significant upside in optical networking and custom chips, with some analysts projecting a long-term path toward a $1 trillion market cap. While Bitcoin (BTC) remains in a technical downtrend, long-term investors can "nibble" at current levels near the 200-week moving average to capture its future role as a settlement layer for AI agents. To hedge against geopolitical volatility and energy-intensive data center growth, look toward defensive energy giants ExxonMobil (XOM) and storage specialist Fluence Energy (FLNC). Conversely, it is wise to reduce exposure to memory stocks like Micron (MU), as the trade has become crowded and AI efficiency gains may eventually reduce demand for high-bandwidth memory.

Focus on Eli Lilly (LLY) as a core thematic holding, as its integration of NVIDIA GPUs into drug discovery has led to 55% year-over-year revenue growth and a highly attractive PEG ratio below one. While Dell Technologies (DELL) has seen a parabolic price surge, the move is supported by a 50% increase in earnings guidance, making it a primary play for the physical infrastructure required for AI. Investors should consider rotating out of "hyperscaler" Big Tech stocks and into the "receivers" of their capital expenditure, specifically targeting sectors like Energy, Chemicals, and Power Infrastructure. Exercise caution with Bitcoin (BTC) by avoiding aggressive buys until the price moves back above its 200-day moving average, signaling a break from the current bear trend. Monitor the S&P 500 (SPY) for a breakdown in the 20-day or 50-day moving averages as a signal to reduce exposure, especially if supply chain bottlenecks or rising oil prices (USO) begin to pressure the broader market.

Investors should prioritize using Claude to automate technical analysis by uploading financial data to identify trend changes across thematic baskets like Chemicals, Optical Fibers, and Power/Utilities. To gain a competitive edge, use AI tools to monitor market breadth, specifically watching for a drop in the percentage of stocks above their 20-day moving average as an early warning of a market breakdown. Non-programmers should complete a basic Python course on Coursera to unlock the ability to build custom "Financial Turbulence Models" using Claude Code. For personalized portfolio management, follow Alex Finn to set up OpenClaw, an AI assistant that provides daily briefings tailored to your specific holdings. Focus on "agentic" workflows by using AI to organize unstructured data, such as bank statements and receipts, into actionable financial spreadsheets for tax and estate planning.

Investors should rotate away from AI software "spenders" like Microsoft and Google to focus on the "receivers" of infrastructure spending, specifically in energy, data centers, and physical hardware. High-conviction plays in the "defensive side of AI" include independent power producers like Vistra (VST) and electrical infrastructure leaders like Eaton (ETN) to hedge against semiconductor volatility. Consider taking profits on parabolic memory stocks like Micron (MU) and reallocating into "platform" or interconnect plays such as NVIDIA (NVDA) and Marvell (MRVL). With global oil inventories drawing down, Oil represents a mispriced macro risk that could provide significant upside as inflationary pressures return. Finally, accumulate Bitcoin (BTC), Ethereum (ETH), and Coinbase (COIN) now, as they provide the essential 24/7 payment rails required for the upcoming shift toward autonomous AI agents.

Investors should consider locking in profits on Semiconductors (SMH/SOX) and Micron (MU), as extreme momentum and supply chain bottlenecks in chemicals like Sulphuric Acid suggest a near-term "speed crash" risk. Rotate capital out of traditional Software (IGV), which faces cannibalization by AI, and into Bitcoin (BTC) as it consolidates before its next potential parabolic leg up. Silver (XAG) and Gold (XAU) remain high-conviction "scarcity trades" that offer protection against 1970s-style inflation and persistent wage pressure. Monitor Dogecoin (DOGE) as a key sentiment indicator; a breakout here would signal the return of retail liquidity to the broader crypto market. For long-term AI exposure, shift focus from overextended chip makers to the physical infrastructure layer, specifically companies providing cooling, power semiconductors, and data center energy solutions.