Hi,

I have a suggestion for the ButterBot developers that I feel would be a great benefit if implemented. It's automatic dynamic optimization, and here's how I envision it working.

The bot would be constantly backtesting in the background, in 1 month increments moving backwards by 1 week at a time, taking snapshots of the pricing curve & testing every possible options setting against that curve to determine the most profitable settings for that given snapshot, or preset of market condition. Then it would move back a week, & do it all over again- over & over.

Eventually the bot would have determined the most profitable settings to use in any given market condition, and could then keep on the lookout for a week's worth of pattern change, and switch the settings to match the most profitable preset for that week's market conditions as if they were going to continue all month.

Viola! Self optimizing bot.

What do people think?

-NginUS