BlackWillow Research

As seen on the United States Investing Championship 2024 leaderboard

Contact us at info@theblackwillow.com.

Quant

AI-powered equities forecast without the noise.

Access sophisticated research algorithms across equity forecasts, technical indicators, fundamentals, macroeconomic trends, and AI-assisted market intelligence.

“Quant is an indispensable tool, intelligently aggregating all the relevant information so that I have a complete view of my portfolio”

Jon Safran, CRO at SwissWatchExpo (and Board Chairman for the Academy for Innovation in Medicine)

“I evaluate vendor technology for a living — I don’t take claims at face value. What convinced me with BlackWillow’s Quant platform was being able to backtest the model’s own win-rate and profit data myself, as part of my own due diligence before ever committing real capital.”

David La Rue, Managing Partner at IQ4hire

“BlackWillow helps me move faster from broad market screening to actionable investment research without relying on scattered tools or manual analysis.”

Sagar Jain, Data Scientist at Ford Motors

“I used BlackWillow to track several stock ideas, including Workday, Monday.com, Fastly, and Appian. The platform made it easy to monitor forecasted upside, daily movement, and which ideas were performing positively in one place.”

Harish Kumar J, Partner at S N Dhawan & CO LLP

“BlackWillow complements my daily trading workflow by adding a structured, forecast-driven research layer on top of my own analysis. Instead of relying only on manual screening, I use the platform to evaluate opportunities, compare signals, and make more informed decisions.”

Bhanu Nelavalli, Technology Leader at Alvarez & Marsal

“Quant is an indispensable tool, intelligently aggregating all the relevant information so that I have a complete view of my portfolio”

Jon Safran, CRO at SwissWatchExpo (and Board Chairman for the Academy for Innovation in Medicine)

“I evaluate vendor technology for a living — I don’t take claims at face value. What convinced me with BlackWillow’s Quant platform was being able to backtest the model’s own win-rate and profit data myself, as part of my own due diligence before ever committing real capital.”

David La Rue, Managing Partner at IQ4hire

“BlackWillow helps me move faster from broad market screening to actionable investment research without relying on scattered tools or manual analysis.”

Sagar Jain, Data Scientist at Ford Motors

“I used BlackWillow to track several stock ideas, including Workday, Monday.com, Fastly, and Appian. The platform made it easy to monitor forecasted upside, daily movement, and which ideas were performing positively in one place.”

Harish Kumar J, Partner at S N Dhawan & CO LLP

“BlackWillow complements my daily trading workflow by adding a structured, forecast-driven research layer on top of my own analysis. Instead of relying only on manual screening, I use the platform to evaluate opportunities, compare signals, and make more informed decisions.”

Bhanu Nelavalli, Technology Leader at Alvarez & Marsal
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Our Products

Quant

Live

An applied AI research platform for U.S. equities, combining structural economic context, model-ranked forecast books, stock-level targets, and realized validation.

  • Long, short, and sector forecast books
  • Realized performance, watchlists, stock-level target trails, and historical validation
  • Stock-level drilldowns with fundamentals, regime context, live news, and peer comparison
  • Specialized Willow research assistant and AI agents for market analysis, stock summaries, and workflows
This Product

Macro

New

Regime-focused research for tracking liquidity, rates, inflation, and policy pressure through a structured causal framework.

  • Daily macro regime scorecard
  • Event-impact and policy transmission views
  • Signal timelines for shifting market states
  • Specialized Willow research assistant and AI agents for macroeconomic analysis, summaries and workflows

Research

Institutional

An advanced research framework combining optimization, economics, and institutional-grade signal design for deeper decision systems.

  • Optimization pipelines for portfolio construction and risk budgets
  • Economics-led regime modeling and factor decomposition
  • Institutional research workflows for businesses and hedge funds