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Discuss the economic impact of current geopolitical events on the stock market and specific sectors.

Compare the market performance of Walt Disney Company (DIS) with its competitors and analyze the implications for investors.

Conduct a risk assessment for Alibaba Group (BABA) and discuss the factors that could affect its stock price.

Provide a stock forecast for Netflix Inc. (NFLX) based on current market conditions and historical performance.

Analyze the dividend history of Johnson & Johnson (JNJ) and evaluate its sustainability and growth potential.

Summarize the latest financial report for Alphabet Inc. (GOOGL) and highlight key metrics that investors should consider.

Develop an investment strategy for Tesla Inc. (TSLA) based on its recent performance and market conditions.

Examine the latest market trends affecting Microsoft Corporation (MSFT) and how they impact investor decisions.

Provide an overview of the available options for Amazon.com Inc. (AMZN) and discuss their potential risks and rewards.

Discuss the economic impact of current geopolitical events on the stock market and specific sectors.

Analyze the dividend history of Johnson & Johnson (JNJ) and evaluate its sustainability and growth potential.

Develop an investment strategy for Tesla Inc. (TSLA) based on its recent performance and market conditions.

Examine the latest market trends affecting Microsoft Corporation (MSFT) and how they impact investor decisions.

Conduct a risk assessment for Alibaba Group (BABA) and discuss the factors that could affect its stock price.

Provide a stock forecast for Netflix Inc. (NFLX) based on current market conditions and historical performance.

Provide an overview of the available options for Amazon.com Inc. (AMZN) and discuss their potential risks and rewards.

Summarize the latest financial report for Alphabet Inc. (GOOGL) and highlight key metrics that investors should consider.

Compare the market performance of Walt Disney Company (DIS) with its competitors and analyze the implications for investors.

Analyze the current stock performance of Apple Inc. (AAPL) and provide insights on its market trends and future predictions.

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Sample use cases

Leverage millions of words of analysis to research, validate, and invalidate investment theses for stock names.

Human Analyst

Weekly Time Spent:
10 Hours

Read and search through individual earnings calls to find mentions of anything specific (competitor, economic indicators).

Track economic indicators by monitoring manufacturing data, trade balances, other news outlets, supply chain reports, and macro reports to validated investment theses.

With Alfa

Time spent on first setup: 1-hour

Read all earnings calls for the Russell 1000, and highlight any mentions of Nvidia or Blackwell Architecture

Monitoring:
1 Hour

Read all earnings calls for the Russell 1000, and highlight any mentions of Nvidia or Blackwell Architecture

Utilize More Data & Save Time

108 hours of time saved per quarter

Conduct a competitive analysis for a stock or for a specific industry to aid with investment decisions.

Human Analyst

Weekly Time Spent:
6 Hours

Read through various sell side reports, SEC filings, and other platforms to conduct analysis on the competitors in a certain sector.

Evaluate differences in financial metrics (margins, revenue, market share), business models, product offerings, and geographical exposure to identify competitive strengths or weaknesses.

With Alfa

Time spent on first setup: 1-minute

Read all earnings calls for Q3 2024, Q2 2024, and Q1 2024 and look for companies in the LUXX ETF mentioning economic slowdown

Monitoring:
Immediate

Utilize More Data & Save Time

108 hours of time saved per quarter

Receive an unbiased weekly commentary on the macro environment focused on what you care about.

Human Analyst

Weekly Time Spent:
6 Hours

Read through various sell side reports, SEC filings, and other platforms to conduct analysis on the competitors in a certain sector.

Evaluate differences in financial metrics (margins, revenue, market share), business models, product offerings, and geographical exposure to identify competitive strengths or weaknesses.

With Alfa

Time spent on first setup: 1-minute

Read all earnings calls for Q3 2024, Q2 2024, and Q1 2024 and look for companies in the LUXX ETF mentioning economic slowdown

Monitoring:
Immediate

Utilize More Data & Save Time

108 hours of time saved per quarter

Leverage Web Search to monitor data on any webpage, and stay updated as the data evolves.

Human Analyst

Weekly Time Spent:
1 Hour per Process

Monitor a website weekly for data changes.

Manually aggregate this data, put it into an excel sheet, and calculate percentage changes.

With Alfa

Time spent on first setup:
10 Minutes per process

Automatically email stakeholders a weekly update with link to real-time report.

Monitoring:
None

Save Time

20* hours of time saved per quarter

*assuming use across 10 similar processes

Read any set of earnings calls to monitor and analyze them with a specific goal in minutes.

Human Analyst

Weekly Time Spent:
10 hours per week during earnings

To track positive guidance/outlooks: have to read & listen through every company's earnings report and call, read through management commentary and sell-side reports.

Compare current quarter's performance vs. guidance from previous quarter and examine factors that support optimistic future projections.

With Alfa

Time spent on first setup:
10-minutes

Review all SPY earnings calls from the last quarter and filter for companies providing positive guidance for the remainder of 2024. Explain the factors supporting their guidance.

Monitoring:
3-hours during earnings

Utilize More Data & Save Time

28 hours of time saved per quarter

Filter stocks by using a combination quantitative and qualitative criteria.

Human Analyst

Weekly Time Spent:
4 hours

Build a complex financial model to analyze financial data; identify a full list of companies within a universe, populate financial metrics, filter through metrics that meet screening criteria.

Examine through SEC filings for specific mentions that passed financial screening.

Compile all this information into a report

With Alfa

Time spent on first setup:
‍5-minutes

Find companies in QQQ with a PE < 30 and PE > 10 that mention greenshoots in their most recent earnings (can use any qualitative or quantitative criteria)

Weekly Monitoring:
10-Minutes

Utilize More Data & Save Time

48 hours of time saved per quarter

Have a dedicated agent to monitor the news for your names and notify you of any updates in the morning, by impact or by holding.

Human Analyst

Weekly Time Spent:
5 Hours

Monitor Bloomberg + all other news platform subscriptions every morning. Read through various different news platforms to get informed about one major event. Regularly review company press releases for earnings reports, product launches or management changes that can impact stock performance.

Set up real-time news alerts for key portfolio companies and those on the watchlist on Bloomberg.

With Alfa

Time spent on first setup:
‍5-minutes

For all news: Read all news by week for each of my holdings in my portfolio and sort the news by date.

For the most impactful news: Read all news for the holdings in my portfolio and highlight the 10 most significant stories for yesterday.

Weekly Monitoring:
30-minutes

Utilize More Data & Save Time

54 hours of time saved per quarter

Read all text in a website/domain URL and monitor for specific data.

Human Analyst

Weekly Time Spent:
5 Hours

Go to a specific link/website and spend hours researching, gathering insights by scanning relevant news sources for updates on Domino’s expansion in China, focusing on store openings. They would compile key takeaways and create a report on this from scratch.

With Alfa

Time spent on first setup:
‍10-minutes

Crawl URL and summarize news about expanding Domino’s presence in China and store openings through bullet points. Then, summarize news about the number of store openings in each city in China.

Weekly Monitoring:
10-minutes

Utilize More Data & Save Time

58 hours of time saved per quarter

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