The AI

$SWING will be developed to utilise the latest advancements in the AI field to help detect and execute profitable trades. Integrating AI elements to trading further automates the Swing Bot project.

We intend on incorporating AI into Swing in 2 main ways:

Social Engagement Analysis:

Social Engagement Analysis will help us to scrape data from the main social platforms for a range of tokens we are tracking and use results of the analysis to help identify sentiment around smaller cap tokens. This can often be a good factor in spotting good entries when sentiment is good.

Past trade analysis:

By tracking our past trades and performance, we are able to feed this data through data analysis models to improve our scanning/range detection algorithms by discovering weak points and past mistakes.

We aren’t limited by these two applications but initially these are the two we will be focussing on as we improve Swing Bot over time.