Edgr

Edgr

A hedge fund in your pocket

9 followers

Edgr’s algorithms sift through the regulatory filings of institutional money managers and highlights their stock investments for further research. Find hundreds of publicly disclosed stock ideas from sophisticated fund managers with successful track records.
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Launch tags:Fintech
Launch Team
AppSignal
AppSignal
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What do you think? …

Bgf419
Robert- brilliant product! Check out https://www.insiderscore.com/ -> they're an enterprise level software that does something similar (though they pull from more than just 13s ;D) Excited to give Edgr a try!
Robert Rozenvasser
@brett_friedman1 Hey Brett! We are aware of Insiderscore.com, but believe Edgr is quite different. Instead of displaying all public filling records which are available, we have a filter to determine which funds seem to be most suitable for a portfolio replication strategy. Such funds tend to hold securities long-term and have a larger concentration of high conviction stocks, among other things. We appreciate your feedback and look forward to you giving Edgr a try! If you subscribe to Edgr you will have access to all the funds on our platform. The free version of the app will show you only the top three stock positions in the Edgr Index as well as all funds with a ranking score of 80 and below.
Bgf419
@robert_rozenvasser Love it! Is there transparency into your criteria or is it a black box right now? "Such funds tend to hold securities long-term and have a larger concentration of high conviction stocks" - based on this, assuming you focus on Fundamental & Value investors. Really looking forward to learning more about the algo and how effective it is. At this point, I feel the only way to consistently beat the market is to copy the market movers & information hoarders at the top :D
Bgf419
@robert_rozenvasser Also, I know this is the worst question ever for a dev team, but when will it be on Android?
Robert Rozenvasser
@brett_friedman1 Thanks again for the kind words! We certainly agree that following the "smart money" is one way to consistently beat the market, which is exactly why we built Edgr. And right now our criteria is unfortunately much more of black box. But your assumption is correct, fundamental/value investors typically have much less portfolio turnover so focusing on them works much better for this sort of strategy.
Robert Rozenvasser
@brett_friedman1 Android is our first priority once we raise our seed round!
Robert Rozenvasser
Hey Hunters! On Wall St many are familiar with Form 13F Filings (https://bit.ly/2HKlsIY), but Main St is mainly left in the dark about the valuable investing information disclosed in such reports. Edgr is looking to change that. In short, the U.S. Securities and Exchange Commission (SEC), requires investment firms controlling investments of more than $100 million to report their securities holdings each quarter. These reports, known as Form 13F Filings, are made public 45 days after each calendar quarter end. Form 13F Filings list holdings that large investment funds own and report on. Comparing current holdings with previous quarters identifies which stocks that they are buying and selling. Edgr’s data analytics cull through reported holdings by fund managers and sorts through them based on a variety of factors such as past performance of the fund, typical hold times for stock acquisitions, patterns of acquisition, the size of purchases, as well as other factors relevant to assessing the funds’ conviction and performance. These data analytics are optimized using machine learning algorithms and produces a list of securities that are updated every quarter (i.e. every 3 months). We call this list the Edgr Index. Historically, the index produced by Edgr data analytics has outperformed the SPDR S&P 500 ETF Trust (SPY). However, past performance is not a guarantee of future results. Edgr is simply providing data analytics on the stock activity of fund managers with successful track records. So, this begs the question, are Form 13F Filings useful even with a 45-day lag? The historical performance of our back tested models suggests that the answer is yes. This is because the Edgr Index is primarily based on the holdings of funds that that exhibit longer holding stock periods. In addition, Edgr’s algorithms attempt to differentiate long term stock conviction from short term stock conviction. In addition to proving users with the Edgr Index, we also allow them to view the reported holdings of funds we have identified as good candidates for a replication strategy. Users may further analyze the back tested returns for each fund across different time horizons. While not all funds have strong performance as calculated purely from their Form 13F filings, you will find that many do in fact consistently outperform the market benchmarks. Do you want to know the hypothetical return on a portfolio had it copied Warren Buffett’s largest 3 stock positions (by market value as reported in his firms Form 13F Filings) over different time periods? Edgr has the answer. We hope you find Edgr a useful tool in your investment tool belt. Any and all feedback is greatly appreciated!
Arnold Rozenvasser
Returns!
Mustafa Aydemir 🌕
Looks awesome! 🎉
Robert Rozenvasser
@mustafa_aydemir Thanks Mustafa!
Sia Mohajer
Great idea, is there an indicator when more than one fund has selected the same security? How do you weigh the picks made by larger firms? Some positions might just be temporary market hedges
Robert Rozenvasser
@siamohajer Hi Sia! These are all great questions! 1) We are working on a “stock search” feature which will allow you to see an analytical breakdown of how “popular” it is across the funds in our universe. But at the moment there is no way to see whether more than one fund has the same security in their largest holdings unless you do the legwork yourself. 2) Investment fund AUM is just one factor which plays a role in determining from where to source stocks in the Edgr Index, but we don’t see this factor as being all that significant. In fact, many of our back tested calculations indicate that the reported holdings of smaller and lesser known funds actually outperform those of larger firms. 3) With regard to “hedges”, you are absolutely right. We do not know the particular reasoning behind why a fund reported a particular position. However, the Edgr Index is designed to limit this sort of problem. One way we do this is by under weighting funds which exhibit high turnover.
Sia Mohajer
@robert_rozenvasser Awesome stuff, seems you've thought through this a lot. Separating signal from noise is so important with these kinds of products Hope you crush it!
Ryan Chaliff
I understand that any kind of investment always bears risk but I’d love to hear whether you guys are planning to expand the algorithm to incorporate future predictions based on the historial data?
Robert Rozenvasser
@ryanchaliff Hi Ryan, Incorporating future predictions is on the roadmap and is aligned with our efforts to expand our machine learning capabilities. That said, this is certainly one of our more ambitious goals and is fraught with many challenges, but we are working hard to make progress in this direction. Please stay tuned!
Dane Baker
Great idea - I had an idea similar to this a while back. Glad you made it happen!
Robert Rozenvasser
@ecocart Thank you Dane, we’d love to hear more of your feedback!
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