Hi, I’m Marc Melendez, CFA.
For over two decades, I've analyzed businesses across industries, market cycles, and economic environments.
I began my career at an institutional investment firm where my research influenced investment decisions involving hundreds of millions of dollars.
I later ran an independent equity research firm and spent years studying what separates great investment decisions from costly mistakes.
But that's not why Evidence-Based Capital exists.
Even with access to institutional research, teams of analysts, and endless information, I kept seeing the same pattern.
Investors have more information than ever before.
Research reports.
Expert opinions.
Market commentary.
An endless stream of market content.
Yet more information doesn't create better decisions.
In many cases, it creates more uncertainty.
As prices rise, confidence grows.
As prices fall, conviction disappears.
Strong businesses get sold too early.
Weak businesses get defended for too long.
The harder investors work, the less certain they become.
That's when I realized the problem wasn't information.
The problem was not knowing how to turn information into conviction.
And that's where the story begins.
The Problem I Couldn't Ignore
Fresh out of graduate school, I joined an emerging markets investment firm eager to begin my career as an equity analyst.
Every analyst I worked with had a different approach.
Some focused on short-term fundamentals.
Others relied on technical analysis.
Others built their decisions around macroeconomic forecasts.
Each approach sounded intelligent.
Each had supporting evidence.
Yet each produced different conclusions.
Everyone seemed confident.
I wasn't.
As a new analyst, I assumed there would be a roadmap.
A proven process.
A clear way to evaluate businesses and make investment decisions.
Instead, every conversation pointed in a different direction.
There was no shared framework.
No consistent process for turning information into decisions.
I didn't know what information mattered and what could be ignored.
The harder I worked, the less clarity I had.
I wasn't looking for the next stock idea.
I was trying to figure out how investing actually worked.
Understanding > Prediction.
I started with short-term fundamental analysis.
The goal was simple.
Predict the next earnings report more accurately than the market.
If the company beat expectations, the share price should rise.
At first, it seemed logical.
I spent countless hours studying earnings reports, management guidance, analyst estimates, and industry data.
Then earnings day arrived.
The company reported strong results.
Revenue was higher.
Earnings were higher.
Guidance was better.
The stock fell anyway.
Investors wanted more.
I stared at the screen wondering what I had missed.
The business performed exactly as I expected.
Yet the investment still failed.
The next time I got the forecast right.
But the company was still a poor investment.
The business was deteriorating.
The valuation was excessive.
Yet I had spent weeks focused on a single quarter.
I knew what earnings might look like over the next ninety days.
I had no idea what the business might look like five years from now.
That's when I realized something.
I was spending more time trying to predict other people's expectations than understanding the business itself.
So I kept searching.
Evidence > Opinion
Next came technical analysis.
Charts.
Patterns.
Indicators.
Trend lines.
For a while, it felt like there had to be an answer hidden in the price.
I studied chart patterns.
Read books.
Tested indicators.
Searched for signals that could predict what would happen next.
At first, it felt like progress.
I would find a pattern that appeared to work.
Then I would find the same pattern somewhere else and get a completely different result.
One trade worked exactly as expected.
The next didn't.
So I looked for a different indicator.
Then another.
Then another.
The deeper I went, the more questions I had.
Then I noticed something strange.
Two analysts could look at the same chart and reach completely different conclusions.
One saw a breakout.
Another saw resistance.
One saw opportunity.
Another saw risk.
The same chart.
The same information.
Two completely different decisions.
I still didn't know who was right.
So I kept searching.
Simplicity > Complexity.
Then I started selecting companies based on macroeconomic themes.
Economic growth.
Interest rates.
Inflation.
Commodity cycles.
Industry trends.
The ideas were fascinating.
The forecasts sounded convincing.
At first, it felt like I was finally seeing the bigger picture.
If I could identify the right trend before everyone else, the investment should take care of itself.
But every answer created three new questions.
If the economy improved, which industries would benefit?
If the industry benefited, which companies would benefit most?
If the company benefited, was that already reflected in the stock price?
I found myself spending more time studying economic forecasts than understanding the businesses I was buying.
The deeper I went, the more complex the process became.
Being right about the trend wasn't enough.
You also had to be right about:
The industry.
The company.
The valuation.
And market expectations.
The number of variables became overwhelming.
I was still searching for a process I could trust.
Still Searching
Years passed.
New books.
New models.
New approaches.
New theories.
I kept searching for the answer.
The next indicator.
The next forecasting method.
The next investment framework.
Each promised clarity.
None delivered it.
Yet I still had no roadmap.
No framework.
No reliable way to trust my decisions.
Nearly five years into my career, I was working harder than ever.
But I wasn't becoming more confident.
Every investment felt uncertain.
Every decision felt fragile.
The more I learned, the less certain I became.
I began to wonder if I was ever going to figure it out.
There were moments when I considered walking away altogether.
After years of searching, I still couldn't trust my decisions.
I wasn't investing.
I was searching.
Searching for a process.
Searching for conviction.
Searching for a way to make decisions I could trust.
The Discovery
Then I discovered the work of James Montier.
At the time, Montier was publishing his Postcards from the Edge series while serving as an equity strategist at Societe Generale.
His work was unlike anything I had encountered.
Instead of predicting earnings.
Instead of interpreting chart patterns.
Instead of forecasting economic trends.
He focused on evidence.
He challenged popular market narratives.
He tested ideas against data.
And he approached investing as a decision-making process rather than a prediction exercise.
For the first time, investing felt less like speculation and more like a discipline.
The goal wasn't to predict what would happen next.
The goal was to follow the evidence wherever it led.
The Question That Changed Everything
Montier's work changed the way I thought about investing.
Instead of asking: "What stock should I buy?"
I began asking different questions.
What drives the value of a business?
Why do some businesses create value while others destroy it?
What characteristics consistently lead to successful investments?
For the first time, I stopped searching for the next stock idea and started studying businesses.
How they operated.
How they competed.
How they generated returns.
How management created or destroyed value.
The goal was no longer to predict what would happen next.
The goal was to understand what was true.
It reignited my passion for investing.
My confidence started to grow.
Not because I was always right.
But because I finally had a direction I could trust.
The noise started to fade.
The answers didn't appear overnight.
But for the first time, I felt like I was asking the right questions.
And those questions would shape every investment decision I made from that point forward.
Building the Framework
Over the next decade, I immersed myself in the study of businesses.
I analyzed companies across industries, market cycles, and economic environments.
I tested ideas.
Made mistakes.
Studied successes and failures.
Refined my thinking.
And searched relentlessly for recurring patterns.
What characteristics appeared repeatedly in successful investments?
What evidence actually mattered?
Over time, the answers became clearer.
Certain patterns kept appearing.
Certain mistakes kept repeating.
Every success taught a lesson.
Every mistake taught a bigger one.
And a process began to emerge.
After years of trial and error, I discovered that great investment decisions rarely start with predictions.
They start with understanding.
The best investors I studied weren't trying to predict what would happen next.
They were trying to understand what was true.
They weren't building conviction through forecasts.
They were building conviction through evidence.
The more evidence aligned, the stronger the conclusion became.
The less evidence aligned, the weaker the conclusion became.
For the first time, investing felt systematic.
Not because uncertainty disappeared.
But because I finally had a way to make decisions despite uncertainty.
Over time, that process evolved into a framework I eventually named Evidence-Based Equity Analysis.
A framework for evaluating businesses through the same lens every time.
A framework for separating evidence from opinion.
A framework for identifying what matters and ignoring what doesn't.
Not because it eliminates uncertainty.
No investment framework can do that.
But because it provides a repeatable process for making decisions when certainty is impossible.
And ultimately became the foundation of everything I teach today.
Why Evidence-Based Capital Exists
Years later, my wife transitioned into equity research at one of the largest investment banks.
Watching her navigate the industry felt like stepping back in time.
I saw the same confusion.
The same uncertainty.
The same search for answers.
The same questions I had asked when I started my career.
What information actually matters?
Where do you find it?
How do you separate signal from noise?
How do you know when you're right?
And how do you build conviction when the evidence is unclear?
What surprised me most was that there was no roadmap.
No structured training program.
No clear process for turning information into decisions.
Despite all the resources available, analysts were still expected to figure it out on their own.
As I helped her work through those challenges, something became obvious.
Twenty years later, the problem hadn't changed.
After all the advances in technology, data, and information, investors were still struggling with the same fundamental question:
How do you turn information into conviction?
Then I realized it wasn't just her.
Investors everywhere were facing the same problem.
An endless supply of information.
No reliable way to make sense of it.
No reliable way to trust their decisions.
That's when I realized the framework I'd spent years building could help others avoid the same mistakes, shorten the learning curve, and build conviction faster than I ever could on my own.
So I built the program I wish existed when I started investing.
If you're tired of chasing opinions, reacting to market noise, and second-guessing your decisions, I invite you to explore Evidence-Based Stock Market Mastery.
The system I wish existed when I started investing.
So you don't have to spend years searching on your own.
Turn information into conviction.