Why monitoring matters more than most traders think
Monitoring isn't just about detecting problems. It's about understanding what your system is doing before small issues become big ones.
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Build notes, product decisions, and lessons learned while building Oblivion.
Monitoring isn't just about detecting problems. It's about understanding what your system is doing before small issues become big ones.
Read articleThe biggest lessons I've learned didn't come from writing code. They came from watching software operate continuously in the real world.
Read articleA feature only creates value if people can rely on it. Over time, I learned that reliability is what turns software into a product.
Read articleMost automated trading systems don't fail because of the strategy. They fail because of everything around it.
Read articleLooking back, the biggest mistake wasn't technical. It was how I approached the project itself.
Read articlePaper trading is useful, but nothing replaces observing a system operating in real market conditions.
Read articleBuilding a trading bot is one challenge. Keeping it running every day is another.
Read articleA simple assumption about market behaviour eventually forced me to rethink how trading systems should adapt to changing conditions.
Read articleWhy I eventually moved away from a single trading bot and started thinking in terms of multiple independent systems.
Read articleOne of the biggest challenges in automated trading isn't execution. It's deciding what to trade in the first place.
Read articleThe lesson that changed the way I think about trading, automation and long-term performance.
Read articleThe philosophy behind my decision to build Oblivion around spot trading instead of leverage, futures or margin.
Read articleWhat it really looks like to build a trading automation platform over several years while working a full-time job.
Read articleThe story behind Oblivion and why I decided to build my own automated trading system from scratch.
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