Investment Analysis That Actually Makes Sense

Forget the jargon and complicated charts that nobody understands. We teach practical investment strategies through real market scenarios, not textbook theories that fall apart when the market moves.

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Investment analysis workspace showing market data and research tools
Portrait of Leandro Echegaray, investment strategy instructor
Leandro Echegaray
Portfolio Strategy Specialist

Learn From Someone Who's Been There

I started analyzing markets in 2011 when everything seemed simpler. Turns out, it never was simple. After spending years making mistakes with real money and learning what actually works versus what sounds good in theory, I decided to teach others a more practical approach.

The investment world loves to overcomplicate things. But most successful strategies come down to understanding a few core principles and knowing when to apply them. That's what I focus on.

  • Real market examples from the past 14 years, including both wins and losses that taught valuable lessons
  • Case studies from Argentina's unique market conditions that require different thinking than textbook approaches
  • Direct feedback on your analysis work with explanations of why certain approaches work better than others
  • Regular market review sessions where we discuss current events and how they affect investment decisions

My teaching style focuses on practical application. We spend less time on formulas and more time understanding market behavior patterns. You'll learn to spot opportunities and risks through hands-on analysis of actual market data.

Common Problems We Help You Solve

Investment analysis can get confusing fast. Here are situations our students often face and how we approach them together.

Too Much Data, Not Enough Clarity

You've got access to hundreds of metrics and indicators, but which ones actually matter for your investment decisions? Most analysis tools overwhelm you with information that doesn't help.

  • Start with a simplified framework focusing on 5-7 key metrics that drive most decisions
  • Learn which indicators actually predict market movements versus those that just look impressive
  • Practice filtering noise from signal using real portfolio examples
  • Build a personal analysis checklist that matches your investment approach

Theory Doesn't Match Reality

What you read in investment books often fails when you try to apply it to actual market conditions. The gap between textbook strategies and real-world results can be frustrating.

  • Review historical cases where standard theories failed and understand why
  • Adapt classic strategies to current market conditions through scenario analysis
  • Test your approaches with historical data before risking real capital
  • Learn to recognize when market conditions require different thinking

Timing Decisions Feel Impossible

Knowing whether to enter or exit a position at the right moment keeps you up at night. The market seems to move the wrong direction right after you make a decision.

  • Develop entry and exit frameworks based on specific trigger conditions
  • Understand probability thinking instead of trying to predict exact market movements
  • Create position sizing strategies that reduce timing pressure
  • Learn from timing mistakes through detailed post-analysis reviews

Local Market Quirks Confuse You

Argentina's market behaves differently than examples you see in international investment resources. Currency factors and economic volatility create unique challenges.

  • Study specific patterns in Argentine markets over different economic cycles
  • Understand how currency considerations affect investment calculations
  • Learn inflation-adjusted analysis techniques for local conditions
  • Build strategies that work within Argentina's regulatory environment
Student reviewing investment portfolio analysis with detailed market charts

How Our Program Actually Works

We don't follow the typical lecture-test-forget model. Instead, you work through real analysis projects that build actual skills you'll use in investment decisions.

Each month focuses on a specific aspect of investment analysis. You'll receive market data, complete analysis assignments, and get detailed feedback on your work. The goal is developing judgment, not memorizing formulas.

Classes run in cohorts starting September 2025 and February 2026. Most students complete the core curriculum in 8-10 months, though some take longer depending on their schedule.

Project-Based Learning

Analyze real companies, evaluate actual investment opportunities, and build portfolio strategies using current market data.

Weekly Review Sessions

Small group discussions where we break down recent market movements and what they mean for your analysis approach.

Individual Feedback

Direct comments on your analysis work explaining what you got right, what you missed, and why it matters.

Market Condition Adaptation

As markets change during the program, we adjust examples and discussions to reflect current conditions.

What You'll Cover Over Eight Months

The program progresses from foundational analysis skills to advanced portfolio strategy. Each phase builds on previous work.

Months 1-2

Financial Statement Analysis

Learn to read balance sheets, income statements, and cash flow reports. Understand what numbers actually indicate about company health versus what they appear to show. Practice identifying red flags and strong indicators in real company financials.

Months 3-4

Valuation Methods

Work through different approaches to determining what assets are worth. Compare DCF models, comparable analysis, and asset-based valuation. Understand when each method works better and when they all fail.

Months 5-6

Risk Assessment

Develop frameworks for evaluating investment risks beyond simple volatility measures. Learn to identify operational, financial, and market risks that affect investment outcomes. Practice stress-testing portfolio positions.

Months 7-8

Portfolio Construction

Build complete investment strategies that balance returns, risks, and time horizons. Learn position sizing, diversification approaches, and rebalancing strategies. Complete a final portfolio project that demonstrates your analysis capabilities.

Student Analysis Projects

These examples show the kind of work students complete during the program. Real analysis, real companies, real market conditions.

Detailed financial analysis report showing company valuation breakdown

Tech Sector Valuation

Comparative analysis of emerging tech companies using multiple valuation approaches

Portfolio strategy document with asset allocation charts and risk metrics

Diversified Portfolio Build

Complete portfolio construction project balancing growth and stability objectives

Risk assessment framework showing stress test scenarios for investment positions

Risk Framework Development

Custom risk assessment model adapted for Argentine market conditions

Applications Open for September 2025

Next cohort starts September 15, 2025. We accept 24 students per session to maintain quality feedback and discussion.

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