Aziz
Nurrochman.

I have never really followed a perfectly defined path.

Most of the things that shaped me began with curiosity. I would find something interesting, study it too deeply, make mistakes, question what I thought I understood, rebuild the idea, and continue from there.

Markets became one of the longest-running parts of that process. What started as numbers moving on a screen gradually became a laboratory for understanding probability, risk, uncertainty, psychology, timing, incentives, and human behaviour.

Over the years, one lesson became increasingly clear:

Feeling certain is not the same as being right.

That changed the way I think. Instead of asking only “What happens next?”, I became more interested in asking:

• What assumptions am I making?
• What am I not seeing?
• What happens if the obvious scenario fails?
• Where is the risk concentrated?
• If I am wrong, can I still survive the outcome?

That way of thinking eventually moved beyond markets. It became part of how I approach research, technology, systems, capital, and decision-making itself.

My journey into markets began with crypto on 15 April 2021. I entered stocks on 23 November that year.

My primary areas of interest are:

I am particularly interested in the relationship between macroeconomics, liquidity, monetary policy, positioning, volatility, market structure, risk, and behavioural finance.

Price matters. But I am usually more interested in understanding why the environment around price is changing.

Crypto & equities · Since 2021

Capital values and transaction counts remain private.

Crypto & equities · Capital and transaction details remain private.

A model is useful only until reality proves otherwise.

Being willing to abandon a good idea when the evidence changes is, in my view, more valuable than defending it for the sake of consistency.

My interests increasingly sit at the intersection of:

Markets × Macro × Data × Artificial Intelligence × Decision Systems

I enjoy exploring questions that do not always have immediate answers.

Some eventually become research. Some become models. Some become systems. Some fail completely.

All of them leave information behind.

I like building things.

Quantitative frameworks. Market models. Research systems. Automation. Simulation environments. AI agents. Decision-support infrastructure.

Sometimes an idea starts seriously. Sometimes it starts as a joke and somehow becomes a much larger project.

The process matters more to me than making everything look finished.

I do not want this website to present my life as a collection of victories. It was not.

There were bad decisions. Wrong assumptions. Failed experiments. Periods of overconfidence. Times when risk was underestimated. And ideas that looked excellent until reality tested them.

Those experiences became useful once I stopped treating failure as something that needed to be hidden.

A failed model is data.
A wrong decision is data.
A loss is data.

The important question is what happens after that information arrives.

I have never felt that everything needs an audience.

Some of the most interesting work happens when nobody is watching.

No announcement. No pressure to make it look impressive. No requirement to explain every unfinished idea.

Just observation, iteration, and improvement. I like working that way.

Currently exploring and building around:

• Quantitative Markets
• Macroeconomic Research
• Risk Architecture
• Artificial Intelligence
• Multi-Agent Systems
• Simulation
• Decision Intelligence
• Private Research Infrastructure

Some of these ideas eventually become public. Others remain private.

This website is not intended to be a traditional résumé.

It is a living archive.

A place for research, market observations, experiments, ideas, systems, mistakes, and things that are still being built.

I would rather preserve the process while the outcome is still uncertain than rewrite the story after everything is already known.