Hey drwoo,

We've not got any public exposure building trading bots thus far, however we do have a range of experience designing, developing, deploying and managing web applications. We've built our MVP product release already, which anyone can access for free on www.folio.ninja

With respect specifically to bots, we don't have anything ready for public release, however we have done substantial work on preparing for our launch. We'll be heavily leveraging AI and Machine learning through various regression and classification prediction models to provide buy and sell signals on our platform. These will then feed into a user designed orchestration layer that will, at your discretion, place buy or sell orders on select integrated exchanges.

We understand putting your assets into the control of a bot can be somewhat daunting, and as such we will be providing both backtesting and dryrun functionality in all trading bots we develop. What this means is you can test your bot configuration on both historical data (backtesting), and future data (dryrun) without ever putting your crypto assets into live trades. This functionality will provide users with sufficient comfort that our bots can provide expected returns before risking any of their assets.

Please let us know if you've got any other questions, we're very open and happy to discuss any questions or concerns you may have.

Best regards,
Scott

Hey,

We've got our current platform online and operational right now. You can sign up for free at www.folio.ninja

We'll be releasing the premium features listed in our whitepaper to this platform, and consumable using the utility FLN token as we progress through our roadmap.

Cheers,
Scott

Thanks! We'll let you know if we need this!   

Hey there, thanks for the question. We're AWS (Amazon Web Services) experts by trade, so it's not secret we're going to use their platform to the best of our abilities. We're planning on using their Machine Learning engine to provide alot of the buy and sell signals based on the huge amounts of data we're already ingesting into the platform. You can read a little more about the base capability here: https://aws.amazon.com/machine-learning/details/

From an integration perspective, we're going to be throwing all the price data we have at the ML engine, with the intent to get signals back. This is alot trickier than said however, as there a numerous ways to craft our input into the engine, such as providing technical indicators, order book volume, availability of exchange API during peak times and differences in price between exchanges. On top of those inputs, we must provide many alternative configurations which may alter the results returned, such as technical indicators, the length of time each data point relates too, user defined trading thresholds and a bunch more. Finally, we can use range of prediction models to sample this data through - which initially we'll be focusing on regression models to provide analysis.

Our aim is to backtest these strategies on existing datasets during rises and falls we've already got data on. This will aid aligning the best model we provide to the public after extensive testing.

The analytics provided by this engine will not be available in our free service, and will be for premium users subscribing with FLN tokens.

Please let us know if you've got any other questions!