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  • Company News

CEO Note: Daloopa started with a phone call

Daloopa was born from a phone call I made in 2019. Frustrated with the manual data extraction process as a tech analyst, I reached out to Jeremy Huang and Daniel Chen, who were working in tech and had experience in AI. We were driven by
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  • Company News

CEO Note: What Daloopa does

Discover how Daloopa transforms Wall Street by using AI to automate data entry and model updates, saving analysts hours of manual work and enhancing financial analysis.
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  • Analyst POV

All Eyes on nVidia

Explore the key drivers and risks ahead of NVIDIA’s earnings, including AI spending trends, potential product delays, and the company’s long-term growth outlook.
Choosing the right LLM for financial data analysis with compliance, workflow integration, and specialized model selection.
  • Analyst Best Practices

The Financial Analyst’s Guide to Choosing the Right LLM for Data Analysis

Discover how to choose the right LLM for financial data analysis, balancing compliance, workflow integration, and auditability.
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  • Analyst POV

How Crowdstrike’s Financials Could Be Impacted by the Recent Outage

By now, many of you have heard about or experienced the recent Crowdstrike (CRWD) outage. This event has raised several questions about the potential impact on Crowdstrike’s financials. Here, we delve into the details and consider the implications.
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  • Analyst POV

Starbucks Struggles, Hopes Rise

Starbucks (SBUX) reports a disastrous Q2 with a 6% revenue miss and 4% decline in same-store sales. Despite trading at multi-year lows, new initiatives and a Goldman Sachs buy rating offer hope for recovery.
LLMs for financial analysis: benefits, risks, compliance issues, and accuracy factors that impact smarter financial decision-making.
  • Analyst Best Practices

Pros and Cons of Using LLMs for Financial Analysis: Opportunities and Risks

Explore pros and cons of LLMs for financial analysis, covering speed, risks, compliance, and how accuracy shapes smarter financial decisions.
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  • Product Updates

Enhancements to Daloopa’s New Data Disclosure Feature

Our new data disclosure feature enhancement aims to set clear expectations and empower analysts to manage their model-updating process more effectively. Learn more about what this entails below.
See how large language models analyze financial statements, handling ratios, trends, and forecasts efficiently with Daloopa’s accurate and verifiable data.
  • Analyst Best Practices

Can Large Language Model Analyze Financial Statements Well? Capabilities, Limitations, and Future Directions

Discover how large language models analyze financial statements with Daloopa MCP, from simple ratios to complex forecasting, enhancing accuracy and efficiency.

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