Autotrader

Inspiration

Optivers challenge

What it does

The idea was to try to follow the big movements in ESX and build a market strategy based on large fluctuations in its actions.

For instance, from the sample data we found that a large BID action of ESX (big purchase of SP) implies the price of SP will start increasing so or algorithm should folow suit.

In the same way, a large ASK of ESX means ESX are selling, so we should also sell ESX.

We were going to continue investigating the historical data to decide on a protocal to base SP.

Finally, we also included a running decision maker on whether or not tobuy or sell

How I built it

Python

Challenges I ran into

Accomplishments that I'm proud of

What I learned

What's next for Autotrader

Implement machile learning to remeber if the decisions hag a good/bad/ok outcome

Built With

• python