We built libkloudtrader so that anyone whether a professional algorithmic trader or beginner can rapidly prototype their strategies in python(support for more languages coming soon) and deploy on Narwhal. No matter how complex your model/algorithm/strategy is, it can easily be made trading ready using libkloudtrader. libkloudtrader, being an open-source initiative is always looking for your contributions and feedback which shall help us in serving the quant and algo trading community in a much better and needed way. In this post, we are going to talk about how to approach a strategy with libkloudtrader and how you can leverage the alert_me feature libkloudtrader provides. I will start with talking a little about algorithmic trading, libkloutrader's alert_me followed my a mean-reversion strategy written in python.