When History Echoes: OKLO's Striking Deja Vu Moment Could Deliver Major Returns

The financial markets operate on a fundamental principle: the rules governing human psychology remain constant across decades. What played out on Wall Street in 1987, 2004, and 2024 continues to shape price movements in 2026—creating what might feel like a deja vu moment for seasoned investors. Small modular reactor pioneer OKLO appears to be staging an eerily similar setup to its breakthrough performance from 2024, raising the question: could this deja vu in the charts signal another explosive move?

The Timeless Dance: Why Wall Street Patterns Keep Repeating

Stock market legend Jesse Livermore once observed that speculation knows no novelty—whatever unfolds in today’s markets has unfolded before and will unfold again. This insight reflects a deeper truth: market cycles aren’t random. They rhyme.

Consider the precedents. In 1987, hedge fund manager Paul Tudor Jones predicted the “Black Monday” crash by overlaying 1929 market charts as a roadmap. Fast forward to 2024: investors noticed Google’s 2004 IPO base formation bore an uncanny resemblance to CoreWeave’s 2025 initial public offering structure. Both occupied hot industry groups, both commanded liquidity, both carried multiple bullish tailwinds. CoreWeave would ultimately deliver a staggering 118% return in 2025—validating the thesis that deja vu patterns in charts can predict substantial outperformance.

The Deja Vu Setup: OKLO’s Familiar Chart Blueprint

While scanning technical charts recently, a striking parallel emerged. OKLO, the leader in small modular reactor (SMR) nuclear technology, has traced nearly the identical price action from April 2024. The choreography is unmistakable: a zig-zag pullback with the initial decline being the most severe leg, followed by approximately 70% retracement from peak to trough, and subsequent support discovery at the rising 200-day moving average.

Today’s OKLO configuration mirrors this blueprint. Shares have experienced a comparable 63.44% drawdown and recently found footing at the same technical level—the 200-day moving average—that preceded the prior explosive move. While historical patterns carry no guarantee, the performance potential cannot be dismissed. Following the 2024 correction, OKLO shares advanced from roughly $17 to nearly $200, representing the 11x return that makes this deja vu moment so compelling.

The Energy Crisis Creating a New Catalyst for SMRs

The confluence of geopolitical rhetoric and market realities is shifting the SMR narrative. President Trump’s stated opposition to allowing tech giants to inflate consumer electricity costs through their data center buildouts has crystallized a critical point: hyperscale companies building power-hungry facilities must now engineer their own energy infrastructure.

This is where the deja vu extends beyond chart patterns into fundamental drivers. Microsoft has already committed to major operational overhauls ensuring taxpayers won’t subsidize its data center power consumption. The broader industry trend is even more telling: 33% of planned data center deployments will operate entirely off-grid, and this proportion is expanding. For OKLO and the SMR sector, this represents a secular tailwind—companies can no longer depend on the grid as a cost-absorption mechanism. They need distributed, on-site power generation, which is precisely what small modular reactors deliver.

The Real-World Confirmation: Strategic Megadeals Backing the Thesis

The investment case for OKLO isn’t resting solely on technical deja vu. The company recently secured a landmark partnership with Meta Platforms to develop a 1.2 GW energy campus, providing tangible validation of the SMR opportunity. This deal transforms the narrative from speculative thesis to concrete commercial momentum.

When technical patterns align with fundamental catalysts—and when history has already validated similar setups—the combination can create outsized opportunity. OKLO’s current position demonstrates that investing requires more than pattern recognition; it demands the ability to spot when the market is staging its own familiar script, this time with even stronger supporting actors.