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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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!
@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.
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@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
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@robert_rozenvasser Also, I know this is the worst question ever for a dev team, but when will it be on Android?
@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.
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?
@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!
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!
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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
@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.
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@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!
Hi @robert_rozenvasser Super, this is really exciting! I used to scan FactSet's quarterly hedge fund investments report when it came out and invested in the most picked investments. A bit difficult and time consuming, but was pretty successful when I had the time for it. Some follow up questions though:
1) How would you compare using your app vs using my previous approach?
2) From what I understood, the filings are released 3 months after the fact. How does that weigh into how someone would use your app? Particularly for selling, that made my previous process really hard to time
3) What does the 'historical performance' chart on the front of the app represent given that start date is Jan 2005 on the chart but you guys only just launched?
4) Is Edgr's Index an actual index we can invest in, or is it a set of recommendations?
@kurosh_hashemi
Hi Kurosh,
We appreciate your excitement and great questions!
1. On Edgr you’ll find only a small set (roughly 300 funds) which report to the SEC. Thus, we’ve done the legwork of determining which funds seem to be most suitable for a portfolio replication strategy. As compared to your previous approach, this is already a much smaller data set you need to traverse. In addition, the Edgr Index highlights a maximum of only 20 stocks from the latest set of filings. If you don’t want to spend the time sorting through individual fund filings, then researching these stocks is a good place to start.
2. Yes, there is a 45-day lag. However, the funds on our platform generally hold securities long term and this delay isn’t so much of an issue. We also provide you with back tested returns for each fund across different time horizons so that you may visualize for yourself how its reported holdings performed since they were made public. 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 market benchmarks.
3. The Edgr Index is derived by using an algorithm which can be “back tested”. Thus, by using SEC filing data going back to 2005, we are able calculate what the hypothetical return on a portfolio would be had stocks been bought and sold on each filing date as mandated by the algorithm. The stocks in the Edgr Index are updated on every 13F filing due date and stocks which no longer appear in the index are assumed to have been sold. Legally speaking, we must say that past performance is no guarantee of the future results and our back tested calculations may contain some degree of statistical error.
4. At present, Edgr is simply an investment research tool. You would have to replicate any insights you gain on our platform in your personal brokerage account. However, we hope to eventually make Edgr an investible index.
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Great idea, I would love to use it, However it's not available on iOS Appstore in my region for some reason.
@abdelilahdr
Hi Abdelilah,
Thank you for your interest!
Unfortunately the app is currently only available in the US and Canada, but we are hoping to expand to other regions shortly. Please stay tuned.
@jonathan_mbuyi Financial regulations vary across jurisdictions and we need to ensure we are in compliance with local laws before launching anywhere outside the US and Canada. We are working hard to make the app available in more countries
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