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Visible Alpha

AI platform surfacing consensus data and granular sell-side model assumptions for investors. Pricing: Paid (Enterprise pricing; contact S&P Global sales). See pros, cons, alternatives, and comparisons

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What is Visible Alpha?

Visible Alpha is an AI platform designed to help investors access and analyse sell-side research data. It aggregates consensus estimates and detailed model assumptions from equity analysts, allowing investment professionals to review what sell-side firms are forecasting for companies and sectors. The platform sources data from multiple analysts and presents it in a structured format, making it easier to spot patterns, disagreements, and outliers in market expectations. It's built for institutional investors, asset managers, and research teams who need to understand the landscape of professional analyst opinion quickly. The tool is owned by S&P Global and is positioned as an enterprise solution for serious investment research workflows.

Key features

Consensus data aggregation

collects earnings forecasts and estimates from multiple sell-side analysts in one place

Model assumption visibility

reveals the underlying assumptions analysts use in their financial models, not just final numbers

Analyst tracking

monitor individual analyst estimates and track how their views change over time

Comparison tools

compare analyst assumptions side by side to identify divergent views

Integration with investment workflows

designed to connect with existing research and portfolio management processes

Pros & cons

Advantages

  • Gives you visibility into sell-side reasoning, not just their bottom-line numbers
  • Helps identify outlier forecasts and areas of disagreement among analysts
  • Backed by S&P Global, a trusted source of financial data with broad analyst coverage
  • Saves time by centralising dispersed analyst research and models

Limitations

  • Enterprise pricing only; not accessible to individual investors or small teams with limited budgets
  • Requires direct contact with S&P Global sales, making pricing and access less transparent
  • Effectiveness depends on the quality and breadth of analyst coverage for specific stocks or sectors

Use cases

Equity research teams reviewing consensus views before publishing their own analyst reports

Portfolio managers stress-testing investment theses against sell-side assumptions

Investment committees evaluating where market expectations are positioned before major earnings announcements

Quantitative analysts building models that incorporate or diverge from consensus assumptions

Corporate development teams benchmarking financial projections during M&A due diligence

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Pricing

Enterprise

Custom pricing; contact S&P Global sales

Full access to consensus data, model assumptions, analyst tracking, and integration capabilities

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Get Visible Alpha
  • Always free
  • No credit card