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Building algo trading software is not just about converting a strategy into code. What really matters is how the system performs once it is exposed to real market conditions. In testing environments, most strategies tend to look stable. But live markets bring in factors like execution delays...

Most discussions around prediction markets stay at a surface level, focusing on categories like binary or scalar markets. That’s useful for understanding the concept, but if you’re actually planning to build one, the more important question is how the market functions under the hood and whether...