Launching Gekkoga on high-end EC2 Spot machine

So now that we know how to launch an EC2 instance from an Amazon EC2 AMI with batched gekko/gekkoga app/conf deployment, we want to learn how to use it on better CPU-sized machine, at a good price (Amazon EC2 Spot feature), so that we can -basically- bruteforce all possible parameters and inputs of a given trading strategy, using Gekkoga’s genetic algorithm.

The … Read more ...

v2 – How to create an Amazon EC2 “small” VM and automate Gekko’s deployment

Note (18/02/2019): this is an updated version of the initial post about automating the launch of an Amazon EC2 Instance.

We tried Gekkoga’s backtesting and noticed it is a CPU drainer. I never used Amazon EC2 and its ability to quickly deploy servers, but I was curious to test, as it could make a perfect fit for our needs: on-demand renting of high capacity … Read more ...

How to create an Amazon EC2 “small” VM and automate Gekko’s deployment

Note (18/02/2019): a simpler deployment process is under active redaction.

We tried Gekkoga’s backtesting and noticed it is a CPU drainer. I never used Amazon EC2 and its ability to quickly deploy servers, but I was curious to test, as it could make a perfect fit for our needs: on-demand renting of high capacity servers, by using Amazon’s “Spot instance” feature. Beware, on EC2 … Read more ...

Automate Gekko’s Strats parameters backtesting (with Gekkoga)

We saw in previous posts how to install gekko, use it, and customize our first strategy.

But, as we figured out, every strategy, shall it be your own custom one or any Strat you will find on Internet with excellent backtests results showed by its creator, also needs to be tweaked, for a specific market, currency, asset, and it means we need … Read more ...