The Cycle of Knowledge: 3 Hard-Earned Lessons from 6 Years in the Markets

I have been investing for six years. In the grand timeline of legends like Warren Buffett or Ray Dalio, that is barely a blink of an eye. But the lessons learned in that window — some of them expensive — are worth passing on to those just starting out.

It is a core tenet of Stoicism that we are constantly in a cycle of learning and teaching. To grow as individuals, we must learn from those ahead of us while guiding those a step behind. This is how knowledge compounds — the same way good investing does.

Here are three things I got wrong before I started getting them right.

Lesson 1: Buy and Hold Is Not Enough

For the first few years, I believed the conventional wisdom: time in the market beats timing the market. It sounded smart. It had data behind it. SPY has appreciated roughly 954% over the last 30 years.

But here is what that stat leaves out: during that same period, the maximum drawdown was 56%. More than half your portfolio — gone. And most retail investors do not hold through that. They sell. They lock in losses. They miss the recovery.

I started asking a different question. What if you did not have to absorb that pain to capture those returns?

Thirty years of cross-asset data gives a striking answer. The S&P 500 returns +17.0% annualised during risk-on macro regimes — and just +0.9% during risk-off. The gains are almost entirely concentrated in one regime type. The drawdowns are almost entirely concentrated in the other.

Buy and hold works. But it works by giving you everything — the gains and the crashes — in one undifferentiated package. The better approach is not to time individual stocks. It is to understand which macro regime you are in, and size your exposure accordingly.

Lesson 2: Dollar Cost Averaging Has a Smarter Version

DCA is still one of the best tools available to retail investors. By investing a fixed amount on a set schedule, you neutralise the emotional noise of price fluctuations and capture the average cost over time. I still use it. I still recommend it.

But it can be improved.

If the macro data suggests you are in a risk-on episode — when growth assets are historically performing at their best — there is an argument for deploying more aggressively than your maintenance pace. Conversely, when cross-asset indicators are all pointing to risk-off, scaling back is not panic selling. It is responding rationally to objective signals rather than emotions.

This is not market timing in the traditional sense. Market timing means guessing. This means building a framework that tells you the condition of the water before you decide how far to wade in.

Lesson 3: A Thesis Needs a Mechanism

To be an investor rather than a gambler, you must have a thesis. If you are buying because of hype, you might as well be at a blackjack table — at least there the odds are published.

But in my experience, most retail investors who do their research still only have a view. Views are fragile. A view says: I think inflation is coming back, so I am buying gold. A mechanism says: when real yields turn negative and flight-to-safety signals emerge across bond markets, currencies, and sector rotation simultaneously, gold has historically returned +13.8% annualised. Here are the conditions. Here is when I act.

The difference is that a mechanism tells you when you are wrong. A view lets you rationalise indefinitely.

What changed my approach was building — and eventually having access to — a composite indicator that synthesises six cross-asset signals at once: VIX, AUD/JPY, Copper/Gold ratio, Bond Yields, Sector Rotation, and Dollar Strength. None of them are perfect individually. Together, they produce a single regime verdict that has flagged 9 of 14 major market crises since 1996 with early warnings.

That is the standard I now hold my theses to. Not do I believe this — but what is the mechanism, what does the data say, and what would have to change for me to be wrong.

Six years is not a long time. But it is long enough to unlearn the things that sound right before you understand the things that actually are. Start with a framework before you start with positions. Let the data lead. And do not confuse conviction with a mechanism — they are not the same thing.

The Alphameter tracks all six of these signals in real time. You can view the live dashboard at alphamancy.com/dashboard.