AI Risk Index — August 2026: The Riskiest and Safest US Stocks by MoonshotScore
On August 29, 2026, 4675 US-listed instruments carried an active MoonshotScore, derived from a scan of 6213 instruments. The average MoonshotScore for the lowest decile of these stocks was 40.2, with scores ranging from 34 to 42.
The Safest Cohort
The following stocks registered the highest MoonshotScores in the current snapshot, suggesting a relatively lower risk profile according to our AI signals. Healthcare and Technology sectors are notably represented.
| Ticker | Score | Sector | Day Change |
|---|---|---|---|
| BRRGF | 74 | Healthcare | +0% |
| SPDE | 72 | Healthcare | +0% |
| ARM | 72 | Technology | -6.33% |
| ATLC | 71 | Financial Services | -2.1% |
| FORZ | 69 | Healthcare | +0% |
| GBIO | 69 | Healthcare | +0% |
| VSAR | 69 | Healthcare | -2.52% |
| SLAB | 69 | Technology | -0.19% |
| RADX | 68.5 | Healthcare | +6.64% |
| STLE | 68.5 | Financial Services | +0.65% |
| GEMSF | 68 | Technology | +0% |
| WPHM | 68 | Healthcare | +0% |
The Riskiest Cohort
Conversely, these stocks recorded the lowest MoonshotScores, indicating a higher risk profile based on the AI's assessment. Technology and Basic Materials sectors appear frequently in this group.
| Ticker | Score | Sector | Day Change |
|---|---|---|---|
| SLAI | 34 | Technology | +0% |
| AIOS | 34 | Technology | -0.72% |
| FRD | 34 | Basic Materials | -2.5% |
| TTGPF | 34 | Technology | +0% |
| HUBCW | 35 | Technology | +0% |
| SECO | 35 | Consumer Cyclical | +0% |
| CSTE | 35 | Basic Materials | -2.18% |
| DPWW | 35 | Real Estate | +0% |
| YVR | 35 | Technology | +0% |
| UBXG | 36 | Communication Services | +0% |
| SPTJF | 36 | Energy | +5.28% |
| METC | 36 | Energy | -4.39% |
Score Distribution
The median stock in our active universe falls within the fifth decile, with scores ranging from 46 to 47 and an average of 46.2. The full distribution across deciles provides context for individual stock scores:
| Decile | Number of Stocks | Score Range | Average Score |
|---|---|---|---|
| 1 | 467 | 34-42 | 40.2 |
| 2 | 468 | 42.5-44 | 43.7 |
| 3 | 467 | 44-44 | 44 |
| 4 | 468 | 44-46 | 44.8 |
| 5 | 467 | 46-47 | 46.2 |
| 6 | 468 | 47-48 | 47.2 |
| 7 | 467 | 48-50 | 48.8 |
| 8 | 468 | 50-52 | 50.6 |
| 9 | 467 | 52-56 | 53.7 |
| 10 | 468 | 56-74 | 60.4 |
Score Movers
A direct comparison of score changes versus the previous snapshot is not available for this report. However, examining daily price movements for the scored universe provides insight into recent volatility.
Among the biggest day gainers were COENF, experiencing a +12966244000% change with a score of 58, and IVHI with a +3099546.2% change and a score of 42. Significant day losers included NNSCF and SYNI, both down -100% with scores of 42 and 46 respectively. These movements highlight the dynamic nature of market pricing, even among stocks with varying MoonshotScores.
Sector-wise, within the featured cohorts, Financial Services had an average score of 62.9 across 4 stocks, while Real Estate, with 1 featured stock, averaged 35. Healthcare represented the largest group with 12 featured stocks, averaging 57.5.
Methodology
On 2026-08-29, we scanned 6213 US-listed instruments via the Stock Expert AI public scoring engine. Of these, 4675 carried an active MoonshotScore, which ranges from 0 to 100. This score is built from 9 AI signals: VSI (Valuation & Strength), RR (Risk/Reward), ATS (Analyst Target Spread), IAS (Institutional Activity), and FOMO (crowd attention). The system utilizes a Dual-Channel Architecture, ensuring that every numerical input is sourced verbatim from FMP, Yahoo, or Alpaca market data; the AI does not generate these figures. Sector labels for the featured cohorts are derived from FMP company profiles, with 50 of 50 successfully resolved. Aggregations, including deciles, sector averages, and extreme values, are simple arithmetic calculations performed on this snapshot data, without any predictive modeling or forecasting.
Explore the live score for any ticker free at Stock Expert AI: https://www.stockexpertai.com/?utm_source=blog&utm_medium=social&utm_campaign=growth90&utm_content=data-assets
This is educational content, not investment advice. Past performance does not guarantee future results.
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