Usage examples are not clear: how do we run the bot?

There are actually no examples of how to run this program. The wiki usage specifies the cli options but without giving a working example.

Please update either the Readme or the Wiki with a working example that can be copied and pasted.

I updated my configStrategy.py with the parameters needed and named it the same as my strategy name in the gekko file. I updated _Global.toml with the path and config file names (which by the way is not clearly explained in the Wiki. That info should be on the Readme or the Usage page. I had to dig through Issues here to figure out the basic info.)

I entered python3 japonicus-run -b --strat mycustomstrat

And the response

    	 EVOLUTIONARY GENETIC ALGORITHMS				v0.92
The profits reported here depends on backtest interpreter function; 
	interpreter v3: 
if <backtest profit> > 0: <shown profit> = <backtest profit> - <market profit> 
else <shown profit> = <backtest profit> 

found gekko @ http://localhost:3000
Run took 1 seconds.

What does that mean… did it work? Where are the results? I can’t find the .csv file anywhere Thanks for any help, I’m looking forward to using this program

[Gab0]

Hey, yeah configStrategies is deprecated. I guess your config problem is on parameter nesting at the .toml file… It should be:

[first]
param = [1, 200]

[second]
param = [1, 200]

[params]
param1 = [1, 20]

....

And we surely need better documentation lol. But I just broke the benchmark system a few releases ago, so it’s not possible to quickly evaluate different GA settings. 90% of those strange parameters are experimental, so it may not be worthy to learn everything about them in this current state of development…

[IAMtheIAM]

ohh Lol that’s good to know. I was sitting here wondering what’s going on. It took my ranges when I put them in the .toml file as you said!

Also, good to know a lot of the parameters are experimental, so I’ll leave them.

The main ones I’m curious about are

• How many EPOCHS should be run to get a statistically significant result?
• What is the purpose of having 3 datasets specified in _dataset.toml (should they all be the same pair and exchange, or can I make them different, and how does this affect the test?
• ParallelBacktests = 6 - if I have more than 6 threads (such as 4 core 8 thread), could I safely change this to 8?

I’m reading through your changelog to see what else I can learn now.

As I learn more about this, I’ll be happy to improve the documentation to make it better to understand.