How to algorithmically buy coins before they moon

A guide on taking advantage of cryptocurrency volatility using a crypto trading bot.

4 min readMar 27


This one is a solution that I’ve been working on for a while now. Started off as a simple(ish) Python script and turned into a fully fledged algorithmic crypto trading platform that a small team along with myself have been working on for 2 years now.

The premise

If you’ve been in crypto for a while, you’re probably familiar with the occasional incredible spikes that go up 1000%+. Also known as the fabled 10x.

There are several strategies that one could employ in order to try and catch these spikes. The one that I’ve seen people use a lot is very similar to throwing a wide fishing net. Buying small quantities in many various unsung coins in the hope that one or two will turn out to be a gem.

This is almost always a fruitless strategy and will for the most part leave you with less money than you started. This is when I realised that there is a much better alternative to speculating on volatility, or a spike in price, that is technically a lot more precise and doesn’t include you filling your crypto portfolio up with junk.

The strategy

The strategy itself is not too complicated, but it does require a certain degree of automation — meaning that you can’t employ it manually, you’ll need a crypto trading algorithm to do it for you. The good news is that there’s an easy way to do it.

The algorithm would continuously scan the price of all assets on a cryptocurrency exchange, and if one asset has gained more than say, 5% in the last 3 minutes, it would then buy that asset. These values are arbitrary, you’d need to play with different configurations and see what works.

Of course, you also need an exit strategy, ideally using a Trailing stop loss so that you can sell at the top.

There are many examples in cryptocurrency where assets sometimes go out by factor x2 — x10. Assets with a larger market cap are…




x3 Top Writer and co-founder of Algo Trading Platform AESIR. I write about crypto, trading, tech and coding.