In my last post about Lending Club, I talked about how I built a lending club bot to autoinvest in loans so I didn’t have to do it manually. Here, I’ll be telling you how the bot actually makes a decision about what types of loans to invest in.
Look at historical data
There is loads of historical data available on past Lending Club loans and there are even sites that have aggregated this data and built tools around analyzing it. My favorite of these sites is Nickel Steamroller. You can individually look at various criteria such as loan purpose, loan length, employment length, home ownership, etc and see the historical performance of notes.
What criteria to look for
So, there are 2 crucial components to look at when trying to figure out what kinds of loans to invest in: 1) the historical ROI (return on investment) and 2) the total number of loans that have been funded. Look for loans that have high historical ROIs and a large number of loans that are funded. If there isn’t a large number of loans funded, it is not a large enough sample size to make a good bet on if future loans will perform well.
If you take a look at the data above, it shows the historical data on loans based on the type of home ownership the person has. If you take a look at ownership type none, the ROI is really high and around 12.19% but there have only been 50 loans of that type funded meaning the data isn’t meaningful enough to actually bet on the performance of future notes.
The Criteria I use
I don’t mind taking a decent amount of [...]