RACUSAI

NYSE and NASDAQ · Stocks only

Case Studies

What Oracus AI would have detected in three of the best investments of the last two decades.

These are retrospective analyses for educational purposes. Past performance does not guarantee future results.

TSLATesla, Inc. · 2012
+4,000%
8/14 — Strong (emerging)

Entry price: ~$6 (split-adjusted) → Peak: ~$250

What Oracus AI would have detected

Vertical integration in battery + manufacturing creating structural cost advantages. No competitor had an integrated supply chain from cells to vehicle. Switching costs emerging as Supercharger network expanded.

Key catalyst identified

Model S launch (June 2012) — first premium EV proving mass-market viability. Positive reviews and demand exceeding production capacity would validate the thesis.

Primary risk flagged

Negative free cash flow, high burn rate, and dependence on capital raises. Runway was a constant concern — Tesla nearly went bankrupt in 2013.

What happened

Model S became Motor Trend Car of the Year. Tesla achieved profitability in Q1 2013 for the first time. The stock went from ~$6 to ~$250 over the next decade as the moat strengthened with Gigafactories, Supercharger network, and software advantages.

NVDANVIDIA Corporation · 2015
+2,500%
10/14 — Strong

Entry price: ~$5 (split-adjusted) → Peak: ~$130

What Oracus AI would have detected

GPU architecture dominance with CUDA ecosystem creating massive switching costs for developers. Deep learning researchers were already locked into NVIDIA’s platform — rewriting code for AMD would take years.

Key catalyst identified

Data center revenue accelerating as cloud providers (AWS, Google, Microsoft) began deploying GPUs for machine learning workloads. This was a new TAM worth hundreds of billions.

Primary risk flagged

Gaming revenue cyclicality and cryptocurrency mining demand creating volatile earnings. Revenue concentration in consumer GPUs made the stock vulnerable to gaming downturns.

What happened

NVIDIA became the de facto standard for AI training. Data center revenue grew from $339M (2015) to over $47B (2024). The CUDA moat proved nearly impenetrable — competitors couldn’t replicate the developer ecosystem. Stock went from ~$5 to ~$130.

AMZNAmazon.com, Inc. · 2005
+10,000%
11/14 — Strong

Entry price: ~$2 (split-adjusted) → Peak: ~$200

What Oracus AI would have detected

Network effects in marketplace (more sellers → more buyers → more sellers) combined with infrastructure cost advantages from scale. AWS was just launching — a hidden asset that most analysts ignored or dismissed.

Key catalyst identified

AWS public launch (2006) — cloud computing as a new business model. Amazon was investing billions in infrastructure that would generate recurring, high-margin revenue for decades.

Primary risk flagged

Razor-thin retail margins and Bezos’s deliberate strategy of reinvesting all profits. Wall Street consistently criticized Amazon for ‘not making money’ — creating sustained valuation pressure.

What happened

AWS became the dominant cloud platform with 32% market share. Amazon’s retail flywheel created insurmountable scale advantages. The company went from controversial ‘money-losing’ retailer to one of the most profitable businesses in history. Stock: ~$2 to ~$200.

The next great investment is out there. Oracus AI helps you find it.