duedillyio
Joined 5 years ago
Joined 5 years ago
Testing for the significance of someone's average returns for example often can be rules of thumb. For example, given a return stream of a trading strategy, the Sharpe ratio (mean return/vol) is directly related to the t-stat of the mean return being different than 0 (mean ret / (vol/sqrt(n)). Several simplifying assumptions must be made about the distributions of returns that don't line up with reality to do the above but it's mostly a heuristic that will let you say "ah, the Sharpe is X over the last 5 years? That's significantly different enough than 0 for it to be tradeable."
I built something (DueDilly) that works in a similar way by monitoring the performance of Reddit user's stock recommendation and tracking how each idea performs and which users do well. You can choose to trade alongside them based on their track records.
My site: https://duedilly.io/
Previous Discussion in my Show HN: https://news.ycombinator.com/item?id=28244744
There are various academic papers that also discuss it like: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3873884
Since my target demographic in this case was people on Reddit following trading advice I wanted to keep things straightforward first and slowly over time introduce those educational components to get it closer to how the industry thinks about it.
For that reason I auto-classify as bullish but there's a report page that anyone can click to report mis-classified posts.
Thank you!
example: https://duedilly.io/asset/SAVA/
Thanks! I'm unable to post it there unfortunately (or really anywhere on stocks subreddits) due to moderation rules around promoting webapps but I've seen a lot of those posts.
There's several stocks you can see now where tons of people have bought after the top and lost a lot. Here's an example:
https://duedilly.io/asset/BABA/
I've noticed something similar with mentions being a poor leading indicator. Anyone can submit any reddit post to the site so hoping with exposure these older traders can submit those older posts as well, as it helps corroborate their track record.
Currently, it's pretty difficult to crack the top without something like that. At the same time, I think (as another commenter pointed out) the distribution of returns for the way these traders pick stocks is pretty skewed/lottery-like. One hesitation I have about the median is that although it's more robust to outliers its less reflective of the true performance achieved.
Maybe putting some stocks in a "meme tier" and then excluding those might capture what your describing, thanks for the feedback!
The big issue for me is accountability. People make public claims and delete the things that didn't work out, so a lot of platforms can be gamed. On Reddit, the titles of posts can never be deleted so that provides one way to verify it. I think that's valuable if you can start auto-adding tweets/blog posts/reddit so people don't mess with their records.
Not much of a developer but I've got several years of experience in the quant finance industry. Seeing people talk about plowing their rent money into an idea when the ideas are hardly financially sound was really frustrating. At the end of the day, it was my non-technical friends and people like them being sucked into these pump and dump schemes.
Happy to get any feedback. Here's an example page if you're not sure what to click: