There is an ever increasing number of websites dedicated to aiding in analytics and investing in Lending Club and Prosper. In part two of this comprehensive two-part series (click here for Part 1) we will look at all of the popular tools that investors use today (there are ten in all) in order to backtest strategies, automate their investments and analyze data. Analytics and data has been a large part of p2p lending from the start and investors are always looking for an advantage to potentially maximize returns. Investment automation allows for a much better investment experience versus selecting notes on the platform by hand.
BlueVestment specializes in automation strictly for LendingClub. Through BlueVestment, users are able to automate investing in notes using credit models from P2P-Picks. P2P-Picks has created their own models based on historic data from Lending Club and Prosper. Investing using either the Profit Maxmizer or Loss Minimizer models is a hands off method of investing in Lending Club. As new data becomes available, the models are updated accordingly to achieve the results of the respective model.
Users can also opt to create their own basic filter criteria using the 22 attributes available to them. In addition, users can create advanced filters using the node builder. This allows for a customized investing experience with different operators as shown below.
BlueVestment also has a high level dashboard which includes investment amount, available loan distribution by grade and total loan availability by grade. BlueVestment is a completely free service.
PeerTrader currently offers automation and charting specifically for Prosper with Lending Club integration coming soon. They are currently in open beta and will be free for anyone to use until they officially launch. As of 2015, they are now an SEC Registered Investment Adviser which makes them one of two public retail tools that are an RIA. PeerTrader has just completed their integration with P2P-Picks, which is publicly available when you create a PeerTrader account. [Read more…]