Making Alpha

Let's start with the question nobody asks honestly enough: How is real money actually made in markets?

Not the social media version. Not the TikTok version where someone films themselves on a yacht claiming they made six figures from their phone. Not the financial TV version where a talking head confidently predicts the next recession and then quietly deletes the tweet when it doesn't happen.

The real version. The one that works repeatedly, across years and decades, through crashes and booms and everything in between.

That's what this chapter is about. Before we get into the how, you need to understand the what.

How I Actually Trade — The Simple Version

Before we dive into the theory, let me tell you exactly how I trade. Not in vague terms. Not wrapped in jargon. The actual, simple process that makes money.

That's it. That's the foundation. I don't try to predict bottoms. I don't try to catch falling knives. I don't buy things because they're "cheap" or because some analyst says they're undervalued. I buy things that are already moving in the right direction, and I ride them.

But I don't buy everything that's going up. I grade it first. Every potential trade gets a grade from A to E based on two things: does my mathematical algorithm say buy, and does the economic environment support this trade? When both line up, that's a Grade A — the highest conviction trade. When neither lines up, that's a Grade E — don't touch it.

The algorithm handles the timing. It tells me exactly where to enter, where to exit, and when conditions have changed. My entire daily routine is this: before the market opens, I set my buy prices and sell prices based on the algorithm. Then I walk away. If the price hits my level, the trade executes automatically. If it doesn't, I do nothing. There is no staring at screens. There is no anxiety. There is just a process.

And here's the part that surprises people most: I barely trade. In an average month, I might take three trades. Sometimes fewer. There are weeks — sometimes entire fortnights — where I do absolutely nothing. Because most of the time, the opportunities aren't Grade A. And I've learned the hard way that taking Grade B and C trades is the fastest way to give back your profits.

The macro framework handles the direction. It tells me which season the economy is in, which tells me which assets should be winning right now. I'm not guessing. I'm reading two simple variables — growth and inflation — and placing myself on the right side of the cycle.

That's the whole thing. Find what's going up. Grade your conviction. Set your buy and sell prices before the market opens. Let the algorithm time your entry and exit. Match it to the macro. Manage your risk. Walk away.

It sounds almost too simple, and people push back on that constantly. They want complexity. They want secret indicators and proprietary models and some mystical edge that nobody else has. But the edge isn't in complexity. The edge is in combining mathematical precision with macro awareness — and then having the discipline to only trade when both say go.

Everything in this book is designed to teach you this process from the ground up. By the time you finish, you'll understand the macro framework, the grading system, and how algorithmic signals work. You'll know exactly how to set entries and exits. You'll know how to size positions so a single loss can never hurt you. And you'll know why doing less is almost always better than doing more. If you prefer to read offline, you can download the full PDF for free.

Now let me show you why this works, starting with what "alpha" actually means and why almost everyone else gets it wrong.

What Alpha Actually Is

In finance, "alpha" has a specific meaning. It's the return you generate above and beyond what the market gives you for free.

If the S&P 500 goes up 10% in a year and your portfolio goes up 10%, you didn't generate any alpha. You just rode the wave. A monkey throwing darts at a stock page could have done the same thing. Actually, research shows the monkey would probably have done better, because a monkey doesn't panic sell during a dip or chase meme stocks at the top.

Alpha is the 15% when the market does 10%. It's the +5% when the market does -10%. It's the part of your return that came from skill, not luck. From process, not from simply being in the market at the right time.

This distinction matters because most of the financial industry sells you beta — market exposure — dressed up as alpha. They charge you management fees for what is essentially an index fund with a nicer logo. Hedge funds are the worst offenders, but mutual funds, wealth managers, and "premium" trading services all do the same thing.

Generating real alpha is hard. It requires an edge. And an edge doesn't come from watching more financial news or following more Twitter accounts. It comes from a process that does something fundamentally different from what the crowd does. That's what we're building in this book.

Why Most Funds and Institutions Fail

Here's an uncomfortable truth: the vast majority of professional money managers — people with Ivy League degrees, Bloomberg terminals, and teams of analysts — cannot consistently beat the market.

How is that possible? Because they're all doing roughly the same thing. They're all reading the same research. They're all using the same models. They're all buying and selling the same stocks at the same time for the same reasons. When everyone is looking at the same data, the edge disappears.

When everyone is doing the same thing, nobody has an edge. The market is brutally efficient at eliminating crowded trades. If 500 hedge funds all decide that the same tech stock is undervalued, they all pile in, drive the price up, and then spend the next year waiting for the "value" to materialise while the stock goes sideways.

Want to see this play out in real life? In 2021, the most popular hedge fund trade on the planet was being long big tech and short small speculative stocks. It was "obvious." Every quant model pointed the same direction. It worked beautifully — until it didn't. When the trade reversed, it reversed for everyone simultaneously, and some of the biggest names in the industry posted their worst years on record.

The hedge fund industry has a dirty secret: most of their returns over the last two decades have been beta — market exposure — not alpha. And they charge 2% management fees plus 20% of profits for the privilege.

This isn't cynicism. It's math. And it's actually good news for you. Because if you understand why they fail, you can do the opposite.

The Two Ingredients of Alpha

I told you how I trade — buy things going up, grade conviction, let the algorithm time it. Now let me tell you why that specific combination works when almost everything else doesn't. After studying markets for years, testing hundreds of strategies, and losing plenty of money learning what doesn't work, I've boiled it down to two things.

1. Mathematical timing. You need a systematic, mathematical way to time entries and exits. Not gut feel. Not "I think it looks cheap." Actual algorithmic signals based on price action, volume, and volatility that tell you exactly when to buy and when to sell — you can see free sample signals to understand what this looks like in practice. The algorithm removes emotion from timing decisions — which is the single biggest source of errors for both professional and amateur traders.

2. Discretionary macro direction. You need a framework for understanding the economic environment — growth, inflation, government policy — that tells you which assets to even consider trading in the first place. The macro tells you which direction to face. Without it, even the best timing system will buy commodities into a deflation or buy tech stocks into rising rates.

Most traders have one or the other. Quant traders build beautiful mathematical models, backtest them to perfection, then watch their algorithm buy commodities right before a deflationary crash — because the model doesn't know about macro. Discretionary macro traders correctly identify that "we're in a risk-off environment" — then buy their short position at exactly the wrong time, too early or too late, and get stopped out before the trade works.

I've seen it hundreds of times. The quant who's right about the math but blind to the macro. The macro trader who's right about the story but can't time an entry to save their life. Both are half-right, and in markets, half-right is still wrong.

Think of it this way. The mathematical signal is the GPS telling you when to turn. The macro framework is the map telling you which road to be on. Without the GPS, you'll overshoot every turn. Without the map, you'll make perfect turns on the wrong road entirely.

Grading Your Conviction

I mentioned the grading system earlier — now let me show you exactly how it works, because this is the concept that will change how you think about every trade you take from this point forward. Not all trades are equal. A setup where both the algorithm and the macro are screaming "buy" is fundamentally different from a setup where only one of them is mildly positive.

The smartest approach is to rank every potential trade on a simple scale — from A to E — based on how many criteria it meets. This is the most important framework in this entire book.

This grading system solves the biggest problem in trading: it forces you to be honest about the quality of every trade before you take it. Most traders skip this step entirely. They see a signal and they trade it, regardless of context. That's how you end up overtrading, taking mediocre setups, and wondering why your edge keeps disappearing.

When you start grading every trade, the noise falls away. You stop overtrading. You stop taking mediocre setups. You naturally gravitate toward fewer, better trades — which is exactly where the alpha lives.

The Math of Fewer, Better Trades

Let me show you why this approach is so powerful with simple math.

Depending on market conditions, you might only get 3 or 4 Grade A opportunities in a month. Some months more, some less. Let's be conservative and say 3.

If each Grade A trade makes an average of 3% — which is realistic when you're trading with the math and the macro both on your side — that's 9% per month. Compounded over a year, that's over 100% annually.

Now compare that to what the best hedge funds in the world return: 15–20% in a good year. The S&P 500 averages about 10% per year. You're doing multiples of both.

How is this possible? Because you're not diversified across 200 positions hoping one of them works. You're concentrated in a handful of the highest-conviction opportunities, sized appropriately, with mathematical timing on your side.

What This Book Will Teach You

You now know what the process looks like. Here's how this book builds it for you, layer by layer, so that by the end you can execute it yourself.

First, you'll learn to read the economic environment — a two-variable framework for understanding which assets should be winning right now and which should be losing. Once you know what season the economy is in, half the battle is already won.

Then we'll go deep into execution. Not theory. Actual trades. You'll see multi-day walkthroughs of real setups — Gold, currencies, stocks — so you understand exactly how to set entries, manage positions, and take profits.

After that, we cover every major trading style. Swing trading — the sweet spot for most people, where you hold for days to weeks and check your phone once in the morning. Day trading — the honest, unvarnished reality of what intraday trading actually looks like. Long-term investing — a counterintuitive approach to leverage and age that can dramatically change your retirement outcome.

Then we switch to the long game. Long-term investing with a three-pillar framework. Lifecycle investing — a counterintuitive approach to leverage and age that can dramatically change your retirement outcome. Dollar-cost averaging done properly. And a multi-pillar portfolio structure that balances growth, income, and speculation.

Finally, the mental game. Because the biggest enemy in trading isn't the market. It's you. Your biases, your emotions, your ego. We'll cover all of it, and build you a personal playbook that keeps you on the rails when things get volatile.

By the end, you'll have a complete, repeatable system. Not a vague philosophy. An actual operating system for making money in any market condition.

Let's start with the foundation: learning to read the economic weather.

This content is for educational purposes only and does not constitute investment advice. Trading and investing involve substantial risk of loss. Past performance is not indicative of future results. Always do your own research and consider seeking professional guidance before making financial decisions.