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Perry Kaufman’s Trading Systems and Methods isn’t a book you read—it’s a 1,200-page survival manual for systematic traders. No hype, no shortcuts: just trend following, mean reversion, volatility, risk management, and testing. It’s heavy, it’s brutal, and it’s the closest thing we have to a trading encyclopedia.

Heaps are the hidden heroes of computer science. They power priority queues, task schedulers, and algorithms like Dijkstra, offering O(log n) efficiency for insertions and deletions. Forget constantly sorting arrays—one simple property keeps the maximum or minimum always on top. With a few basic operations, heaps turn messy problems into elegant, high-performance solutions.

Most traders dream of beating the market. Jim Simons didn’t just beat it—he solved it. That’s literally the title of Gregory Zuckerman’s...

Your emotions suck at trading—fear, greed, and hope ruin decisions. Algorithms don’t care. They follow rules: when to enter, how to manage, when to exit. But here’s the catch: you can always hit the stop button, and that’s when psychology sneaks back in. Algo trading reduces emotions, but discipline is still the real edge.

Studying Computer Engineering, I found chemistry out of place — yet it taught me more than formulas. It built cognitive flexibility, resilience, and respect for knowledge beyond code. Tackling a tough, “irrelevant” subject became training for the real challenges of engineering: adapting, persisting, and thriving where curiosity alone isn’t enough.

D² Trading (Data-Driven Trading) is about turning markets into systems, not bets. Here algorithms replace instinct with models, backtests, and automation. Trading becomes an engineering problem: disciplined, measurable, and repeatable.

µCore₀₁ is the space where digital electronics and embedded systems come alive. From microprocessors and circuits to firmware and design hacks, this is the workbench where small cores power big ideas.

^Algo.*$ is the space where algorithms step out of textbooks and into real life. From sorting and graphs to optimization and hidden patterns in search engines, games, and markets, this is a lab for logic in action. Expect stories, code, hacks, and the messy beauty of problem-solving. If it starts with “Algo,” it belongs here.

Working on MyDLX, a clean-room implementation of a simplified DLX CPU, taught me lessons beyond exams. By treating it not just as homework but as a real design lab, I gained insight into hardware/software bridges, testing as a mindset, and the value of building systems from scratch. Extra projects like this don’t just sharpen skills — they open doors, fuel interviews, and make you stand out as an engineer.

Motivation comes and goes. When mine fades, I turn to the stories of innovators like Jobs, Einstein, and Faggin. Jobs taught vision and resilience, Einstein showed the power of persistence, and Faggin revolutionized computing with the first microprocessor. Their journeys remind me that success is not a straight path—it’s built on failures, breakthroughs, and relentless curiosity. Where do you find your motivation?