Posts
2025
Lagging vs Leading Indicators: What They Really Tell You About the Market
·920 words·5 mins
To trade with clarity, you need to know the difference between indicators that react to price (lagging), and those that aim to anticipate it (leading).
Can a Trading Bot Really Beat the Market?
·661 words·4 mins
Most people think trading bots are smarter than humans. In truth, they’re not smarter. They’re just faster, more consistent, and emotionless.
How to Use AI in Trading Without Losing Control
·643 words·4 mins
In trading, the moment you lose connection with your system, you lose control over your performance…
Why Are VAs and Solopreneurs Winning with AI While Others Struggle
·688 words·4 mins
Use AI tools smartly to automate tasks, boost productivity, and reclaim your time.
How I Backtested My Strategy (And What Actually Made It Work)
·626 words·3 mins
You can’t just look at a result and trust it. You need to feel the trades. See how they play out. Know how the system behaves when the market gets weird.
The Danger of Using AI in Trading: Why Blind Automation Is Riskier Than You Think
·647 words·4 mins
One of the biggest risks with AI-generated strategies is the illusion of effectiveness.
Why Most Traders Fail at Automation (And What Engineers Can Do About It)
·1054 words·5 mins
Not every strategy will make money. But every good system should work exactly as designed, even when it fails.
How to Implement SOLID Principles in Golang for Automated Trading Bots
·739 words·4 mins
The SOLID principles aren’t just buzzwords; they’re the Avengers of coding practices, ready to save your bot from disaster.
Why I Love TypeScript in Svelte, and the Beauty of SvelteKit Compared to Other JS Frameworks
·936 words·5 mins
The combination of SvelteKit and TypeScript represents the best of both worlds that ensures reliability and scalability.
2024
Python Functions Demystified: Lambdas, Decorators, and the Magic of *args / **kwargs
·899 words·5 mins
A deep dive into Python’s most versatile function features—lambdas, decorators, and flexible arguments—explained with practical examples and commentary.