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Core Coverage Universe

  • Large-Cap Tech & Semiconductors: NVDA, MSFT, AMZN, META, GOOGL, TSLA, PLTR, MU, INTC

  • Macro & Cross-Asset Coverage: SPY, QQQ, TLT, USO, GLD, BTC, MSTR

The Edge

Build position conviction using line-by-line earnings models that reveal exact fundamental drivers—giving you the mathematical backing to trade when true EPS potential cleanly diverges from Street consensus.

Track Record & Proven Calls

 

CNBC Feature: Calling TSLA 2021 Top

CNBC Feature: Calling NVDA "3X Move"

 

> What’s Our Next Inflection Call? ...|

Line-by-line earnings and market models designed to deliver actionable variant perception across both bull and bear markets.

|[RATING]RISK |[CALL] SPY BROKE & FED FLIP |

Overview: Elazar Advisors Interactive Trader Intelligence

Elazar Advisors provides institutional investors and hedge funds high conviction calls on stock EPS and major market inflections. Founded by Chaim Siegel—a 30-year Wall Street veteran with buy-side experience at SAC Capital and Morgan Stanley ($13B AUM)—we identify high-hit ratio divergences from consensus earnings math. Powered by decades of battle-tested trading models, we help fund managers catch critical turning points across single stocks, broad markets, and commodities ahead of the Street, ahead of big moves.

> SEE THE MARKETS THROUGH A PRO
BUY-SIDE LENS

> INSTITUTIONAL LINEAGE

• Analyst & PM for Steve Cohen at SAC Capital & Point72
• Partner at George Soros-Funded Family Office (JLF Asset Management)
• Analyst on $13B Morgan Stanley Asset Management Equity Fund
• Elazar Research factored into global consensus estimates via Reuters / Refinitiv & FactSet

> TSLA INFLECTION

• The Math: Maintained Street-leading EPS estimates throughout Tesla's primary expansion phase, consistently out-modeling bulge-bracket investment banks.
• The Thesis: Built an independent, fundamental bull thesis capturing the core operational run-up to peak valuation.
• The Top Call: Downgraded to Neutral in November 2021—pinpointing the peak prior to the multi-quarter drawdown.

> NVDA INFLECTION

• The Call: Published seminal research in May 2023 identifying NVIDIA as the market's primary AI beneficiary before structural demand became consensus.
• The Precision: Built line-by-line revenue and margin models that accurately mapped early Data Center GPU demand and exponential EPS upside.
• The Alpha: Capitalized on sell-side earnings lag, exploiting systemic underestimation of true earnings power during the rally.

> FIRM OVERVIEW
• Institutional Pedigree: Founded in 2004, serving leading long/short equity hedge funds, mutual funds, and multi-manager platforms worldwide.
• Institutional Distribution: Research and line-item EPS estimates factor directly into Street consensus via Reuters / Refinitiv and FactSet.
• Top-Ranked Execution: Recognized among top-performing analysts on the Reuters Institutional Platform for single-stock call accuracy and multi-year EPS model lead.
• Cross-Strategy Application: Utilized by both fundamental discretionary portfolio managers and quantitative execution desks seeking high-conviction variant perception.

> MEDIA APPEARANCES & PUBLIC RECORD

• CNBC: Calling TSLA Top at All-Time Highs (Nov 2021)

• CNBC: Correct "3X Move" NVDA Fundamental Thesis (Aug 2023)

• ELAZAR: Early In Identifying NVDA as "AI Darling" (May 2023)

• REUTERS: ZM Still Conservative (August 2020)

Image by Paul Skorupskas

RISK DISCLOSURE

Please Read

All investments have many risks and can lose principal in the short and long term. The information provided is for information purposes only and can be wrong. By reading this you agree, understand and accept that you take upon yourself all responsibility for all of your investment decisions and to do your own work and hold Elazar Advisors, LLC, and their related parties harmless. Opinions given are at this moment and can change rapidly after this is published. Updates or changes to those opinions may not be published publicly and only in the service. Elazar and its employees may take positions in the direction of the calls made in the service.

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