The 100 Best Twitter Accounts for Finance

Last year, we published our first annual list of the top Finance twitter handles. About a year later, we’ve come back with an update to the dataset.

As a financial research platform built for modern analysts, Sentieo incorporates data from the financial realm of Twitter into its product as part of a curated news stream for each ticker. The 2018 list of handles to follow spans people and organizations with an eye for equities, who offer thoughtful insight and tweet often.

We used a data-driven approach coupled with curated selection to uncover the very best, and we go into more detail on our methodology below. Without further ado here are the top 100 Finance Twitter handles to follow in 2018:

Rank Twitter Handle Popularity Rating Total Followers % of Total Followers
1 John_Hempton 79 24,400 0.32%
2 BarbarianCap 76 21,100 0.36%
3 muddywatersre 73 47,600 0.15%
4 AlderLaneeggs 71 16,400 0.43%
5 CitronResearch 68 60,200 0.11%
6 BrattleStCap 67 18,700 0.36%
7 KerrisdaleCap 65 20,200 0.32%
8 modestproposal1 65 22,700 0.29%
9 marketfolly 65 48,200 0.13%
10 EventDrivenMgr 64 6,698 0.96%
11 ActivistShorts 64 15,400 0.42%
12 Carl_C_Icahn 64 342,000 0.02%
13 LongShortTrader 63 20,000 0.32%
14 DonutShorts 62 10,200 0.61%
15 sprucepointcap 62 10,600 0.58%
16 BluegrassCap 59 16,000 0.37%
17 SIRF_Report 57 8,626 0.66%
18 NoonSixCap 57 8,641 0.66%
19 WallStCynic 57 12,900 0.44%
20 GothamResearch 57 21,900 0.26%
21 herbgreenberg 57 399,000 0.01%
22 Valuetrap13 56 9,514 0.59%
23 valuewalk 56 47,400 0.12%
24 UnionSquareGrp 55 4,922 1.12%
25 PlanMaestro 55 10,200 0.54%
26 ReformedBroker 55 882,000 0.01%
27 SkeleCap 54 6,154 0.88%
28 FatTailCapital 54 6,964 0.78%
29 ShortSightedCap 53 5,642 0.94%
30 footnoted 53 20,200 0.26%
31 Mega_Man_2 52 4,147 1.25%
32 JacobWolinsky 51 5,350 0.95%
33 zerohedge 51 440,000 0.01%
34 FundyLongShort 50 3,585 1.39%
35 MugatuCapital 50 8,890 0.56%
36 DumbLuckCapital 49 4,955 0.99%
37 Hedge_FundGirl 49 5,850 0.84%
38 PresciencePoint 49 9,004 0.54%
39 DavidSchawel 49 30,700 0.16%
40 pmarca 49 671,000 0.01%
41 fundiescapital 48 3,148 1.52%
42 ActAccordingly 48 3,547 1.35%
43 EquityNYC 48 5,223 0.92%
44 nosunkcosts 48 5,674 0.85%
45 MicroFundy 48 7,957 0.60%
46 BergenCapital 48 28,400 0.17%
47 marginalidea 47 1,843 2.55%
48 Keubiko 47 4,542 1.03%
49 Jesse_Livermore 47 37,100 0.13%
50 PainCapital 46 8,446 0.54%
51 EdBorgato 46 8,843 0.52%
52 SmallCapLS 45 2,679 1.68%
53 RodBoydILM 45 3,388 1.33%
54 AlexRubalcava 45 5,828 0.77%
55 LadyFOHF 45 13,000 0.35%
56 activiststocks 45 13,100 0.34%
57 firstadopter 45 33,400 0.13%
58 WarrenBuffett 45 1,310,000 0.00%
59 WSJ 45 14,900,000 0.00%
60 realDonaldTrump 45 39,800,000 0.00%
61 xuexishenghuo 44 2,693 1.63%
62 cablecarcapital 44 3,322 1.32%
63 probesreporter 44 4,082 1.08%
64 GrantsPub 44 25,400 0.17%
65 business 44 4,290,000 0.00%
66 DennyCrane550 43 1,018 4.22%
67 Seventeen_Mile 43 3,484 1.23%
68 StaleyRdCap 43 4,478 0.96%
69 AureliusValue 43 4,660 0.92%
70 Find_Me_Value 43 6,925 0.62%
71 davidein 43 30,800 0.14%
72 maxvision33 42 1,831 2.29%
73 ValueDude 42 1,985 2.12%
74 Fritz844 42 3,321 1.26%
75 plainview_ 42 3,645 1.15%
76 TMTanalyst 42 12,100 0.35%
77 manualofideas 42 17,400 0.24%
78 QTRResearch 42 19,500 0.22%
79 matt_levine 42 59,200 0.07%
80 StrangestTribeX 41 1,324 3.10%
81 LibertyRPF 41 3,500 1.17%
82 AZ_Value 41 3,845 1.07%
83 FCFYield 41 4,562 0.90%
84 GlaucusResearch 41 5,775 0.71%
85 HardcoreValue 41 9,801 0.42%
86 PhilipEtienne 41 10,400 0.39%
87 HedgeyeENERGY 41 11,000 0.37%
88 TigreCapital 40 1,841 2.17%
89 CopperfieldRscr 40 3,336 1.20%
90 covenantlite 40 3,454 1.16%
91 adoxen 40 3,695 1.08%
92 HedgeyeHWP 40 7,934 0.50%
93 mjmauboussin 40 24,500 0.16%
94 TruthGundlach 40 36,400 0.11%
95 bespokeinvest 40 61,100 0.07%
96 UnderwaterCap 39 2,098 1.86%
97 jay_21_ 39 2,303 1.69%
98 schaudenfraud 39 2,808 1.39%
99 JohnHuber72 39 8,949 0.44%
100 mark_dow 39 37,200 0.10%


To find the 100 best finance handles to follow on Twitter in 2018, we first developed a curated seed list of ~120 heavy financial users who are active investors and on Twitter. In order to maintain the privacy of these users, we cannot reveal their Twitter handles, but they effectively constitute a panel of experts.

We created a list of all of the Twitter handles that these 120 folks follow on Twitter. We then aggregated this list to find the handles that are most frequently followed across all of the accounts on the seed list. The popularity ranking represents the number of accounts from the seed list that follow the ranked handle. For handles that have the same popularity ranking, they are ranked by the percentage of that handle’s total followers that are on this list (to adjust for larger accounts).

Of course, no list is perfect, there are definitely some false positives and false negatives in here. Overall, though, we think a user interested in staying apprised on equities would be well advised to follow every user on this list.

Note: this list has a decidedly equities-oriented focus, based on the current nature of our product and our interest in information about individual companies. For a more macro/markets oriented list, check out this post from StreetEye.

Assessing Fed Chair Hopefuls With NLP Analysis Of Past Speeches

This article was originally published in Forbes

Our third article on the Fed leverages third-party political trend data as well as powerful Sentieo opinion mining to break down past speeches from top contenders for the Fed Chair. We discuss possible 2018 scenarios and delve deeper into the surprising results we come across. Brush up on the previous articles and see what’s coming up next in our series using the FedSpeak lexicon here:

Sentiment Analysis Of FOMC Statements Reveals A More Hawkish Fed
Why Is The Fed Still Raising Rates? The Yellen Effect
Assessing Fed Chair Hopefuls With NLP Analysis Of Past Speeches
Predicting The FOMC Statement With Beige Book Sentiment Data

From left, Gov. Jerome Powell, Former Vice Chairman Stanley Fischer, Federal Reserve General Counsel Scott Alvarez, and Federal Reserve Chair Janet Yellen, speak together following a Board of Governors meeting. (AP Photo/Andrew Harnik)

We set out to analyze the historical speeches of the top Fed candidates with Sentieo’s natural language processing capabilities and in the process, we learned something interesting. It doesn’t matter.

The Federal Reserve is not a one-woman organization and while the chair tends to drive policy, the minutes reveal that the entire committee weighs in on decisions. Some subtle changes over the course of this year have changed the makeup of the FOMC into a more hawkish committee. Furthermore, the composition of the FOMC will change when four of the regional bank presidents and voting members rotate out for their peers.

Earlier this year, Daniel Tarullo resigned. And just a little over a month ago, Stanley Fischer, a longtime central banker, resigned from Fed Board of Governors. In their place, Donald Trump has nominated Randal Quarles, a monetary hawk who favors a rule-based approach to monetary policy, as vice chair for bank supervision. Unfortunately, transcripts of Mr. Quarles views on monetary policy are not readily available, so he is not included in the quantitative analysis.

Read More

Why Is The Fed Still Raising Rates? The Yellen Effect

This article was originally published in Forbes

Our second investigation of the Fed’s sentiment discusses the impact Chairwoman Yellen has had on the Federal Reserve since her rise to the Chair in 2014. We created and utilized our ‘FedSpeak’ lexicon to delve into the correlation between the Fed’s intentions and Yellen’s speeches before colleagues, Congress, and the press. Read the previous article and see what’s coming up next in our series here:

Sentiment Analysis Of FOMC Statements Reveals A More Hawkish Fed
Why Is The Fed Still Raising Rates? The Yellen Effect
Assessing Fed Chair Hopefuls With NLP Analysis Of Past Speeches
Predicting The FOMC Statement With Beige Book Sentiment Data

Federal Reserve Board Chairwoman Janet Yellen speaks during a news conference following a meeting of the Federal Open Market Committee September 20, 2017 in Washington, DC. Yellen announced that the Fed will not change interest rates this quarter. This is one of the last meetings before Chair Janet Yellen’s four-year term ends in February.

The Federal Reserve conducts the nation’s monetary policy under a mandate from Congress to promote maximum employment, stable prices, and moderate long-term interest rates in the U.S. economy.

The Fed began its current round of rate hikes in 2015, and the Fed Funds target rate now stands at 1.25%, up from 0% two years ago.

Read More

Sentiment Analysis Of FOMC Statements Reveals A More Hawkish Fed

This article was originally published in Forbes

This piece kicks off our new series on the analysis of the Federal Reserve using Sentieo’s natural language processing power and flexible Doc Search technology. We will focus on bringing interesting ideas and surprising revelations derived from thousands of public federal reserve documents. Join us as we scrutinize meetings, congressional testimonies, and press conferences with some truly impressive technology; and see what’s coming up next in our series:

Sentiment Analysis Of FOMC Statements Reveals A More Hawkish Fed
Why Is The Fed Still Raising Rates? The Yellen Effect
Assessing Fed Chair Hopefuls With NLP Analysis Of Past Speeches
Predicting The FOMC Statement With Beige Book Sentiment Data

The Federal Reserve System’s Federal Open Market Committee (FOMC) meets eight times a year, at 2 p.m. Eastern Time in the basement of a nondescript, Washington, D.C. office building. The terse statements released after those meetings drive the direction of global financial markets and the meeting minutes are carefully scrutinized carefully by the media.

We parsed recent statements and minutes since 2012 using Sentieo’s natural language processing and sentiment analysis and found some interesting trends.

For the most recent statement 9/20, the strongest topic continued to be inflation, as highlighted in the unfiltered word cloud shown here.

The intensity was roughly equivalent to the prior statement, as the Fed continues to be vexed by an inflation shortfall versus expectations. Based on the statements alone, this analysis would suggest that Fed intentions have barely changed.  However, when we apply sentiment analysis to the words in the documents using the Loughran-McDonald context-specific lexicon, which assigns a simple positive or negative value to words based on the financial services industry context, the 9/20 statement occurs as much more hawkish.

Read More

Wells Fargo Cross-Sell, Senator Elizabeth Warren And Unstructured Financial Data

On August 31, 2017, Wells Fargo (WFC) announced it completed an expanded third-party review of retail bank accounts which increased the number of potentially unauthorized consumer and small business accounts to 3.5 million from 2.1 million. In addition, an additional 528,000 accounts had potentially unauthorized online bill pay enrollments.

Nearly a year ago on September 20, 2016, WFC CEO, John Stumpf, testified in front of the Senate Banking Committee regarding the “cross-selling” scandal which also cost 5,300 employees their jobs. WFC never provided the “cross-sell” metric in a table format in public filings, and as a result the data cannot be derived from legacy financial research platforms.

During the hearing, Senator Elizabeth Warren highlighted:

  • The word “cross-sell” appeared in every transcript from 2012 through 2014.
  • Stumpf first mentioned “cross-sell” in 2010 AR, highlighting he picked the target 8. He picked the target 8 because it rhymed with great.
  • The correlation between the WFC stock price and the number of times “cross-sell” was mentioned.
  • All 12 printed transcripts were submitted as evidence.

Read More

Sentieo Document Search Weighs In On The Elliott / Arconic Battle

This article was originally published in Forbes.

Earlier this year, Elliott Management, a $31 billion activist hedge fund led by legendary manager Paul Singer, fought a long drawn out battle with Arconic, a metals engineering and manufacturing spinoff of aluminum giant Alcoa. Among the issues to arise from this fight was a particularly nasty corporate governance revelation about a hidden pension liability that takes effect upon a change in control.

At Sentieo, we watched from the sidelines with interest as the story developed, leaning on our indexed repository of public financial documents to uncover the material facts of this case. Our analysis revealed that potential “corporate governance risk” is a hidden aspect of equity investing that even sophisticated investors like multi-billion dollar hedge funds may not have adequate tools to assess.

Here are the facts (throughout the article below we’ve provided links to source documents in our Sentieo public document viewer):

On November 23, 2015, Elliott filed a 13D with the SEC which indicated that it had built a position of over 5% in Alcoa with the intention to influence the company’s management and board of directors.

On February 1, 2016, the company, still known as Alcoa, announced its intention to appoint three Elliott nominees to its board of directors. In November of 2016, the former Alcoa split into the new Alcoa, a pure-play aluminum producer, with the remains of the old company becoming Arconic, specializing in lightweight metals engineering and manufacturing for customers in aerospace and automotive.

Exactly one year later, Elliott Management published a letter to Arconic pointing out that their attempts to privately coax management into making improvements had not succeeded and they felt the need to move their arguments into public view.

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Announcing Our Partnership With 7Park For Alternative Data!

We’re pleased to announce that we are one of 7Park Data’s launch partners for their new API product. Starting today, 7Park customers who also use Sentieo can access their data in Plotter and Mosaic. 7Park’s data offerings available via API include web and mobile app traffic data, retail purchase data, and more.

The combination of 7Park data in Sentieo’s alternative data suite makes discovering alpha opportunities possible without hiring a quant. 7Park Data can be easily added to a chart or statistical analysis including other sources of alternative data, financial metrics like revenue or stock price, and your own data. Examples displaying how this data can be used are presented below.

In the words of one of our customers:

“Sentieo gave me a way to make sense of the data without having to spend budget on a full-time quant. Several points of my returns have been inspired.”

Contact your Sentieo Customer Success rep or e-mail us at to get a demo of how this product can generate investment ideas for you. If you are not a current Sentieo customer, you can request a trial here.



Amazon Competes With Everyone — And Wins

This article was originally posted on Forbes.

No other company has done a better job of attracting constant media attention than Amazon ($AMZN). With shares hovering around $1,000 per share, the retail-tech giant now stands as one of the four largest companies in the S&P 500 with a nearly $500 billion market cap. That represents a more than 50,000% return from the $1.73 IPO price two decades earlier. Investors fortunate enough to snatch up shares when it first hit the public market can comfortably call themselves millionaires.

While shares no longer look cheap by any traditional metric, money managers believe ongoing investments will result in even greater future returns. This is because Amazon has shown a remarkable ability to succeed in new spaces that it expands into. This is in many ways, the opposite of conventional wisdom. Large corporations often struggle when they stray outside of their core competencies. Amazon has been able to flip this script.

Amazon’s ability to accomplish this comes in large part from the leadership of its CEO, Jeff Bezos, who has consistently pushed the philosophy of, “Day One.” This excerpt from Amazon’s last letter to shareholders illustrates his commitment:

“Jeff, what does Day 2 look like?”That’s a question I just got at our most recent all-hands meeting. I’ve been reminding people that it’s Day 1 for a couple of decades. I work in an Amazon building named Day 1, and when I moved buildings, I took the name with me. I spend time thinking about this topic.

Day 2 is stasis. Followed by irrelevance. Followed by excruciating, painful decline. Followed by death. And that is why it is always Day 1. To be sure, this kind of decline would happen in extreme slow motion. An established company might harvest Day 2 for decades, but the final result would still come.I’m interested in the question, how do you fend off Day 2? What are the techniques and tactics? How do you keep the vitality of Day 1, even inside a large organization?

Such a question can’t have a simple answer. There will be many elements, multiple paths, and many traps. I don’t know the whole answer, but I may know bits of it. Here’s a starter pack of essentials for Day 1 defense: customer obsession, a skeptical view of proxies, the eager adoption of external trends, and high-velocity decision making.”

Of course, the true measure of success for any public company and its philosophy is how its share price performs. As Amazon’s reach has broadened into new industries, the number of companies who need to mention Amazon as a competitor has broadened as well.

We used Sentieo’s advanced document search to construct a query that uncovers every mention of Amazon as a competitor in public company filings (10Ks, 10Qs, 8Ks, earnings calls, investor presentations, etc.) in the last 10 years. In the chart below, you can see that mentions of Amazon have grown considerably over the past 10 years while the stock price has also grown in lockstep.  

Mentions of “amazon competitors” in public filings and AMZN stock price (Source: Sentieo Document Search)

Drilling down into specific sectors, the same pattern shows itself. Take Air Freight and Logistics, a nascent segment of Amazon’s business, for example. It was only in 2016 that Amazon first made an announcement to lease 20-40 Boeing jets to augment their distribution capabilities. If we look at the mentions of Amazon in only Air Freight and Logistics company filings, we again see the number of mentions skyrocket. Read More

Analyzing $NFLX Recent Earnings Beat With Alternative Data

Netflix’s stocked soared over 10% in after-hours trading last Tuesday after the Q2 earnings call in spite of an EPS miss at $0.15/share (vs. $0.16 projected). Since Netflix is still growing rapidly, the stock trades mostly on subscriber growth, rather than earnings. As you can see from the chart below, subscriber growth, especially in International Markets, blew out analyst estimates:

Netflix Subscriber Growth Vs. Estimates

Since subscriber growth is not as easily analyzed by the core public financial data companies are required to release, we used Sentieo to look at alternative datasets like keywords in earnings transcripts, search volume, Twitter mentions, and website traffic to analyze Netflix’s incredible performance

First, we looked at words tied to international markets that were referenced in transcripts using our earnings call Keyword Tracker:

Mentions of keywords in Netflix Earnings Call Transcripts

Notice that Europe, Asia, Korean, and Germany saw their largest number of conference call mentions ever when comparing to previous earnings calls. Reed Hastings continued to speak to success with content creation in Europe and Latin America, but also has his sights set on Asia:

Snippets from the most recent $NFLX Earnings Call

NFLX’s chief of content creation, Ted Sarandos, spoke specifically about Korea and Okja (a Korean-Hollywood collaboration that has been a huge hit for Netflix) both of which were surfaced in the keyword tracker above:
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According To One Metric, This Could Be The Best Time For Stock-Picking In A Decade

This article was originally posted on Forbes.

The last three years have been dismal for fundamental long/short managers, and stock picking at large. However, at Sentieo, our analysis shows that we are currently in the best environment since before the 2008 crash for picking stocks. Now, that isn’t to say that this is the best time to buy stocks, nor is it a prediction of fund performance. But, according to an analysis of one metric, cross-correlation, the current market should provide an unusually ripe environment for stock picking.

First, a bit about what we mean by cross-correlation: The pairwise correlation between two stocks is a value between -1 and 1, that indicates how likely the two securities are to move in the same direction. Over a given time period, two stocks that perform identically will have a value of 1, two stocks have no correlation at all will have a value of 0, and two stocks that are perfectly inversely related will have a value of -1.

We ran the pairwise correlations between every stock in the S&P 500 and every other stock in the index (249,500 computations!) from the 2007-8 financial crisis until now. Averaging all of the correlations provides an indicator of how much stocks move in tandem with each other. If the cross-correlation is 1, there would be no opportunities for stock picking since all stocks would move in tandem with each other. The higher the value of the index, the more difficult it is to make money by selecting individual securities at that point in time.

The graph below shows the cross-correlation for the entire S&P 500 over the past decade. There are a few important takeaways from this chart. First, it is clear that the cross correlations of the S&P 500 are at decade lows. Second, we see a preponderance of large spikes in the data.

S&P 500 Cross-Asset Correlation
S&P 500 Cross-Correlation

As you can see, the spikes correspond with market shocks, the major macro events of the last decade. The jump in cross-correlation following a market shock is to be expected. When this sort of event happens, the entire market tends to turn in one direction as it collectively decides to buy or sell. The most recent inflection point, however, the 2016 election of Donald Trump in the United States, behaves differently.

The 2016 US Presidential election has driven correlations to new lows. Furthermore, correlations in the market actually began dropping prior to the November 8th election day, around the time when then-FBI Director James Comey sent a letter to Congress on October 28th. As opposed to the market shocks where the market all reacts in the same direction, it seems the collective market doesn’t know how to react to Donald Trump with any certainty. In other words, as of today, Donald Trump is an inherently uncertain entity that is creating opportunities for security selection.

Impact on Hedge-Fund Returns
As shown in the chart below, hedge fund monthly returns for long/short equity managers tend to react inversely to cross-correlation, as we would expect. This provides further validation to the idea that cross-correlation is a solid predictor of the overall environment for stock picking.

Monthly Returns of Long/Short Equity Funds
Monthly Returns of Long/Short Equity Funds

We can further apply cross-correlation to show the volatility of selected sub-sectors of the S&P 500. Doing so, we can demonstrate which specific sectors may have benefitted the most from the US election, again, purely from a stock-picking perspective.

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