Markets - Sean Kozak

Markets

We’re always right when we’re managing risk.

I started trading in 2015. Since then, my career has taken me through nearly every side of the financial trading industry — as a trader, systems architect, software developer, technology founder, educator, and operator.

I didn’t learn the markets from the sidelines

My relationship with the markets started while I was still studying business finance with a focus on statistics. While many of the people around me were preparing for traditional careers in banking and finance, I was sitting in class trading penny stocks — sometimes getting myself in trouble with my instructors because I was more interested in what was happening in the market than what was happening in the classroom.

I was obsessed with trading. After college, I moved to Toronto and pursued it seriously. I took trading programs. I studied different methodologies. I eventually found myself trading from a trading desk in Toronto.

And I lost my money. I simply wasn’t as good as I thought I was. That experience eventually taught me one of the most important lessons of my trading career: wanting to be a trader and having a repeatable trading process are two completely different things.

Passion wasn’t enough. Market knowledge wasn’t enough. A few winning trades weren’t enough. I needed a system.

From trader to systems architect

My career eventually took me deeper into the technology behind trading.

I became a Director of Business Development for a quantitative trading software company in Calgary developing technology for NinjaTrader. That exposed me to a completely different side of the industry: software developers, system developers, algorithmic programmers, trading strategies, indicators, automation, backtesting, quantitative research, data, risk, and hundreds of traders and trading businesses trying to solve many of the same problems in completely different ways.

I started building software for myself. One application became five. Five became twenty. And eventually, what started as building tools to solve my own trading problems became a software development company.

Over the years, I have been involved in building hundreds of trading applications across major global trading platforms, including Tickblaze, NinjaTrader, TradingView, Rithmic, and other financial technology environments. That eventually expanded far beyond individual applications — into trading platforms, proprietary trading infrastructure, risk-management technology, market-data infrastructure, quantitative testing tools, algorithmic trading systems, execution technology, and software used by both individual traders and professional financial firms.

That experience fundamentally changed the way I see the market.

Process

I don’t start with the trade. I start with the data.

A lot of discretionary trading begins with an opinion: I think the market is going higher. My process starts somewhere else: Can I prove there is an edge here?

My background in statistics and systems architecture trained me to think in hypotheses rather than predictions. If I believe a market behaves a certain way under certain conditions, I want to test it. Define the conditions. Collect the data. Build the logic. Test the hypothesis. Measure the outcomes. Understand the distribution of wins and losses. Identify the drawdowns. Understand the risk. Determine whether the edge survives across enough observations to deserve capital.

Only then am I interested in execution. That doesn’t mean everything I trade needs to be automated. I’m both a discretionary and systematic trader. I can use software, quantitative testing and automated systems to develop and validate an idea — and then determine whether the best way to execute that edge is algorithmically or discretionarily. Technology doesn’t have to replace the trader. It can make the trader better informed.

Experience

Hundreds of trading applications. One purpose.

My experience in the markets extends far beyond sitting in front of a chart. I’ve spent years building and working with the technology behind modern trading. Across my career, I’ve been involved in developing:

I’ve worked with developers, system programmers, traders, trading businesses, platforms, brokers, exchanges, proprietary trading firms, and institutional firms. But whether I’m looking at a single indicator or an entire trading platform, the objective is ultimately the same:
make better decisions with better information.

Multiple perspectives

I’ve traded the markets from multiple perspectives.

My trading career didn’t develop around one asset class or one way of trading. I started in equities. From there, I moved heavily into options, where the leverage and different ways of structuring risk appealed to me. Eventually, I moved into futures. Futures gave me much of what I was looking for: leverage, liquidity, straightforward market access, and a level of simplicity that fit the way I wanted to trade.

I’ve also traded markets such as crypto and CFDs. They’re legitimate markets with their own advantages, but they aren’t where I personally choose to focus most of my trading today. My primary focus is futures.

I’ve traded personal cash accounts, proprietary trading accounts, and significant account sizes. By temperament, I’m predominantly a day trader and short-term trader. I like being able to identify an opportunity, define the risk, execute the trade and get out. I generally don’t want unnecessary overnight exposure. I’ve also done well with swing trading and longer-duration approaches.

The timeframe can change. The instrument can change. The underlying process doesn’t.

Framework

Strategy. Execution. Personal management.

After more than a decade of trading, building systems and working with traders, I’ve come to believe that most trading problems can be reverse-engineered into three areas.

01

Strategy

First, you need something worth trading. Not an idea you saw online. Not a collection of indicators that happened to work yesterday. A strategy with defined conditions, defined risk parameters, repeatable rules, and enough evidence behind it to justify putting capital at risk. Without confidence in the strategy, every losing trade becomes an emotional crisis. You cannot consistently execute something you don’t actually believe in. The strategy comes first.

02

Execution

A profitable strategy is useless if you cannot follow it. Execution means knowing when to trade, when not to trade, what conditions need to exist, where the trade becomes invalid, how much you’re willing to risk, how the position will be managed, when you’re getting out — and then having the discipline to execute the same process when real money is involved. Execution is where theory meets reality.

03

Personal management

Then there is the trader. Fear. Greed. FOMO. Revenge trading. Overtrading. Changing strategies after losses. Increasing size at the wrong time. Breaking rules. Trying to force the market to give you money. These problems are real. But I don’t believe trader psychology can be completely separated from strategy and execution. If you don’t know whether your strategy actually has an edge, how are you supposed to confidently execute it through a losing streak? It’s extremely difficult to trust yourself when you don’t trust your system.

That’s why I approach trader development in this order: strategy first, execution second, personal management third. Build something worth trading. Learn to execute it. Then work on becoming the person capable of following it consistently.

We’re always right when we’re managing risk.

This is one of the most important principles in my trading. It doesn’t mean every trade will be right. It means I don’t believe our job is to know exactly what happens next. Our job is to understand what we’re willing to risk before we participate.

A losing trade executed according to a validated process can be a good trade. A winning trade that violated every rule can be a terrible trade. That’s one of the hardest distinctions for developing traders to understand.

The outcome of one trade doesn’t validate the decision that created it. Probability plays out across a series of trades. That’s why survival matters. Protect the capital. Protect the account. Protect your ability to take the next qualified opportunity. Stay in the game long enough for your edge to matter.

Live education

If you want to learn trading, watch it happen live.

Charts are easy to explain after the fact. Anyone can pull up yesterday’s chart and point to where someone should have bought and where someone should have sold. That’s not trading.

Real trading happens on the right side of the chart. You don’t know what happens next. Decisions have to be made with incomplete information. Risk has to be defined before the outcome is known. Trades lose. Setups fail. Conditions change. Sometimes the best trade is no trade at all.

That’s why I’m a major believer in live-market education. If someone is teaching you how to trade, I believe you should eventually be able to watch that person break down markets in real time. You should be able to see the process when things work — and you should be able to see the process when they don’t.

That’s why livestreaming is an important part of what I do. I break down what I’m seeing, what I’m looking for, where the risk is, why I’m considering a trade, why I’m avoiding a trade, and how I approach the decision-making process while the market is actually moving.

You don’t need to trade exactly like me. My style may not fit your personality at all. That’s okay. Not every trader is meant for every teacher. Find your tribe. Find people whose philosophy resonates with you. Find a process you can understand, test and believe in. And be careful who you give your attention to. Not every influencer, educator or course provider is created equal.

Honest guidance

I’m not always going to tell you what you want to hear.

I’m rough around the edges sometimes. That’s part of who I am. If I think something is broken, I’ll say it’s broken. If you’re blaming psychology but your strategy has no measurable edge, I’ll tell you. If you’re strategy hopping, overleveraging, revenge trading, gambling, constantly changing indicators, or trying to force the market to pay you, another trading course isn’t necessarily going to fix the problem.

I’ve made plenty of those mistakes myself. I would rather tell a trader what I believe they need to hear than tell them what makes them feel good. Because the objective isn’t to look like a trader. It’s to build the process required to become one.

Trade with me

The best way to understand how I trade is to watch me do it.

I regularly share market analysis, trading education, strategy breakdowns, live trading sessions, and educational content through my YouTube channel and other media. You can watch me break down markets in real time, see the setups I’m looking for, understand how I think about direction and probability, watch how I define risk, see how I handle winning and losing trades, and learn how I apply a systematic framework while the market is actually moving.

If my approach resonates with you, start here.

Go deeper

Trading education & coaching

If you’re ready for more structure, we’ve built the infrastructure around it. Over the years, my work in trading expanded beyond my own trading and content. Through Tickblaze, we’ve built structured education and coaching programs designed for both discretionary and algorithmic traders.

ATS — Discretionary Trading

For traders who want to develop and execute a structured discretionary trading process. The program provides access to education, live classrooms, trading technology, structured trading systems, coaching, and experienced trading instructors.

AQS — Algorithmic & Quantitative Trading

For traders who want to take a more systematic approach. Learn how to develop ideas, test hypotheses, work with data, build strategies, use quantitative tools, and leverage technology to create and evaluate systematic trading approaches.

I’ve spent years building the companies, technology, systems, education, and infrastructure behind these programs. You don’t have to figure everything out alone. You can watch me trade. You can learn from the content I publish. And when you’re ready for a deeper level of education and support, you can step into the trading ecosystem we’ve built around it.

Done-with-you / Done-for-you

Alpha Capital Syndicate

Not everyone has the time, temperament, or desire to trade their own accounts. Some people have built capital through business, career, or investing — and they would rather connect that capital to professional traders with verified, long-standing track records than try to become full-time traders themselves.

Alpha Capital Syndicate (ACS) is a copy-trading and managed-account solution for professionals, entrepreneurs, and high-net-worth individuals who want access to curated trading strategies across equities and futures without managing the trades themselves.

The strategies available through ACS have years of live and simulated performance history. The infrastructure connects to many of the major trading platforms and brokers, allowing qualified accounts to follow professional traders in a transparent, rules-based environment.

This is not a course. This is not a chat room. This is a done-with-you and done-for-you capital deployment solution for people who would rather have their money working through proven systems than spend years learning to trade on their own.

I started trading in 2015 because I became obsessed with the markets.

That obsession eventually took me from a trading desk to software development, systems architecture, trading platforms, proprietary trading, risk technology, market data, quantitative research, and building companies throughout the financial trading industry. I’ve won. I’ve lost. I’ve built systems that worked. I’ve built systems that didn’t. I’ve tested thousands of ideas.

And I’ve learned that trading isn’t about finding a way to be right all the time. It’s about developing a process that allows you to be wrong without destroying your ability to continue.

Build the strategy. Validate the edge. Define the risk. Execute the process. Review the data. Improve. Repeat.

You don’t need to know exactly what happens next. You need to know what you’re going to do when it happens.