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Tykan began his journey by starting with an exploration outside of the hotel he was calling his home for now. He was still coming to terms with the Terran Standard language, but he certainly felt more at home with it than he ever had with Collective Standard.
According to the historical databases, his own native tongue was relatively close linguistically (at least according to the algorithms) to pre-Empire Terran Esperanto. He’d tried doing some minor research into the language, but since so much of what he was trying to understand was coded for linguistics experts and native speakers, he couldn’t begin to understand what he was seeing.
He also found it rather odd that while there was a Terran Standard language, almost every colony (and even subsets of the same colony) would speak derivatives of the same language, diverging into entirely new languages. It was utterly strange that the humans did not appear to care about the language drift. They simply acknowledged that it happened and ignored it. According to one of the guides, North Mars had three distinct dialects and over 100 different derivative accents, whereas South Mars had two distinct dialects and ranged from a mild to very heavy accent depending on how far south you were on Mars.
The concept that a species was allowed to invent and continue to invent new languages after the formation of an agreed upon standard language was very foreign to Tykan, his own Tanosian Standard language having suffered only minor drift in the whole of their 13 colonies, due in no small part to rigorous reinforcement of proper linguistics.
And it didn’t stop there. Apparently, Lunarians (or Loonies as they were sometimes called in the guides) even had their own derivative additions to Terran Standard. It wasn’t big changes, but there were some odd connotations that the permanent residents of Terra’s moon had incorporated into Terran Standard.
So far, he’d accidentally walked into a dry cleaner, mistaking the wording on the sign for a museum, a Centauri-style pub which he’d mistaken for public facilities, and a judiciary, which bore a label that he’d have sworn said it was a human conservatory.
But he was having a marvelous time. He couldn’t remember the last time he had been this surrounded by strange lovely things and smells. Oh the smells. He tasted all the emotions of the streets as he walked. Certainly, his very obvious bodyguards behind him always smelled of their usual duty and purpose, but the rest of the streets with humans coming and going were awash of different emotions. It felt chaotic and yet like a sort of symphony.
A young woman, if he was remembering how human dioecism worked, had the feeling of a cold winter about her. A man on a street corner had the feeling of a wind storm that was coming on. An older man who sat resting and watching the world had the feeling of a calming sunrise. And so many more.
Tykan felt as though he could experience worlds just standing in place and opening his olfactors. These humans… as physically terrible and aggressive as the Council had judged them to be, were so utterly complex and they didn’t even seem to realize it.
It took him several moments before he realized that a human had stepped up in front of him.
The human in front of him was… different. They weren’t obviously male or female. Their hair, which apparently had long term cultural significance, was cropped close to their head and dyed a color that he was reasonably certain wasn’t natural, but wouldn’t have put it past the humans to have figured out how to get it naturally. Their body was… well, it was rather difficult to tell. They were wearing a sort of Terran forest colored robe which mostly obscured them and didn’t seem to fit in with the rest of the Lunarian culture that Tykan had seen thus far. And most interestingly, they were wearing a tall hat of some sort.
“Yes?” he ventured.
“You’re new around here,” the stranger said with a voice that was neither high nor low for a human.
“I am new. My naaaame issss Tykan. I am n-n-newly a ssss-citizzzen offf the Empire,” he said, unsure of the smell of the human’s emotions. They weren’t unhappy, nor were they particularly happy. They just smelled of… of… a dark but cozy place. Not like an unused or long abandoned burrow might, but rather more like one that was created by a purist on sabbatical, reconnecting with their ancestors in the earth.
The human smiled, but did not change their emotional scent.
“Then I suppose I should welcome you. I’m Rigby. I own and operate that cafe over there,” the human called Rigby said, pointing at a part of a building a block or so away. “What brings you here?”
“I wasss tooo meet with the Empressss,” Tykan said.
“Oh, you must be very special then. And did you?” Rigby asked.
“Yesss. She wasssss not what I expected,” Tykan said. “I am the firrrrst xeeeeeno citizzzen offf the Empire.”
“Well, I’d say that’s earned you a free drink and a baked good at my cafe then,” Rigby said, smiling broadly. Rigby reminded Tykan of Mac in that moment. But he was still confused by Rigby. But he tried to remember what he had read of human manners (as utterly confusing and often contradictory as they were).
“Would youuuuu like toooo show meeeee to your busssssinessss?” Tykan ventured.
“I would,” Rigby said, turning towards the indicated building and beginning to lead Tykan there for a moment before looking back and behind Tykan at his guards.
“Are they with you?” Rigby asked. The smell of dark clouds overhead came from Rigby. Not one of dislike or fear, but rather the sort of discomfort.
“They are toooo protect meeee. The Empresssss sent them toooo meeee,” Tykan said, feeling uncomfortable himself.
There was a moment or two of quiet between them and then Rigby appeared to brighten.
“Well, I’m sure we can find a place for them to keep you company,” Rigby said, the smile returning to their face.
The four of them walked without speaking. Tykan couldn’t help but notice how a number of the humans they passed seemed to taste of a sort of fear, but from the taste, it wasn’t towards him, so he could only guess it was toward Rigby or his guards, but he couldn’t think of why either would warrant fear.
The indicated building was a strangely decorated subsection of a larger building, with large transparent viewports into and out of the building section in question. It appeared to have a Terran theme of some kind, but it wasn’t obvious as to what it referenced. A menu of foods and beverages hung outside the main entrance portal with a large annotation of “Elevenses”. Rigby appeared to take no notice of anything strange and simply opened the portal and directed Tykan and his guards inside.
The inside of the building was equally strange. It appeared to be a mix of themes. One section was decorated with ornate designs and a flashing blue box which hung from the ceiling. Another had images of an ornate stone castle with old Terran floor sweepers leaned against the wall. And the section to which Rigby lead Tykan and his guards to was away from the main windows, in a section that had a massive painting of two towers and large stone city carved into a mountain with some kind of war happening between the three.
There were a few other humans in the cafe, but only a few even glanced up from their activities and while there was a slight smell of emotional surprise at seeing Tykan, it almost instantly dampened as they returned to their activities. The whole of the cafe smelled of… a sort of mix of different foods and beverages that reminded Tykan of Mac. Especially the beverages.
Rigby gestured to a table with a larger than human standard seat for Tykan and then gestured to a nearby table with human standard chairs (although these bore elegant looking vine-like decoration) for his guards. Tykan half-sat half-laid across the seat he was provided and continued to watch Rigby.
Rigby appeared to still be smiling, moving away from the trio and stepping behind the counter of the business and hanging their hat on a peg off to one side.
“What can I get you, Tykan?” Rigby called over, despite appearing to be conversing with the other humans behind the counter.
Tykan cocked his head to one side.
“I do not understand,” he said, confused.
“What manner of beverage and food would you enjoy without expense to your being?” Rigby said, slipping from Lunarian Terran Standard to more strict Terran Standard almost seamlessly.
“I am unable to consume certain human compounds without medical attention,” Tykan said.
“Ah allergies. Gotcha. Do you have a list of those compounds which you cannot consume? And do you have a list of compounds you find enjoyable?” Rigby asked, continuing to almost blatantly ignore the fact that Tykan was not human.
Tykan picked up the tablet from the table and pressed his probing digit against the identifier. As part of joining the Empire, he’d received a bio-synth chip which allowed him to be uniquely identified and which could carry selected information which he could control (up to a certain point). It was a remarkably simple technology that made him wonder why none of the species in the Collective had ever come up with it. It wasn’t even remotely invasive and only certain systems could even communicate with it and even when they did, he could set up particular data permissions for what types of systems could read any or all of the data available.
A list of compounds that he was unable to consume appeared on the screen of the tablet.
“I believe thisssss will be of asssssistence. And I doooo not knooooow whaaat human fooooods I preferrrr,” he said, holding the tablet out to Rigby. Rigby came over and took the tablet from Tykan. Rigby appeared to frown a bit, but from the sort of smell of emotion that Tykan was receiving, this was a frown of concentrated thought.
“I think you might like a non-caffeinated ginger jasmine tea and a fresh baked croissant. And if we talk long enough, maybe we can see about the lunch menu,” Rigby said, setting the tablet back down. “Anything for you two, Argo-juice?”
This last question appeared to go to Tykan’s guards. One of them waved a hand as a sort of gesture. Apparently, Rigby knew what it meant because Rigby walked back over behind the counter and began to work.
A few minutes later, Rigby returned with a strange crescent, two glasses of greenish liquid, and a short ceramic glass of steaming liquid. Rigby placed the two glasses of greenish liquid in front of his guards and then placed the crescent and the steaming liquid glass in front of Tykan. Rigby sat down and folded their hands in front of them.
“So I’m betting you’ve got a thousand questions, and Rigby’s all ears to help you sort them out,” Rigby smiled.
“Beware of strangers bearing gifts,” Tykan said, repeating an old proverb of his homeworld.
“Very wise, but I’m going to wager that there’s a lot more to humans than any wikipedia could tell you,” Rigby said, the smile unmoved.
“How about we start with more thorough introductions?” Tykan said, trying to match the human’s grin without appearing aggressive.
“I’d like that,” Rigby said.

5 Strategies in Quant Trading Algorithms

Hey everyone, I am a former Wall Street trader and quant researcher. When I was preparing for my own interviews, I have noticed the lack of accurate information and so I will be providing my own perspectives. One common pattern I see is people building their own algorithm by blindly fitting statistical methods such as moving averages onto data.
I have published this elsewhere, but have copy pasted it entirely below for you to read to keep it in the spirit of the sub rules. Edit: Removed link.

What it was like trading on Wall Street

Right out of college, I began my trading career at an electronic hedge fund on Wall Street. Several friends pitched trading to me as being a more disciplined version of wallstreetbets that actually made money. After flopping several initial interviews, I was fortunate to land a job at a top-tier firm of the likes of Jane Street, SIG, Optiver and IMC.
On my first day, I was instantly hooked.
My primary role there was to be a market maker. To explain this, imagine that you are a merchant. Suppose you wanted to purchase a commodity such as an apple. You would need to locate an apple seller and agree on a fair price. Market makers are the middle-men that cuts out this interaction by being always willing to buy or sell at a given price.
In finance lingo, this is called providing liquidity to financial exchanges. At any given moment, you should be confident to liquidate your position for cash. To give a sense of scale, tens of trillions in dollars are processed through these firms every year.
My time trading has been one of the most transformative periods of my life. It not only taught me a lot of technical knowledge, but it also moulded me to be a self-starter, independent thinker, and hard worker. I strongly recommend anyone that loves problem solving to give trading a shot. You do not need a mathematics or finance background to get in.
The trading culture is analogous to professional sports. It is a zero sum game where there is a clear defined winner and loser — you either make or lose money. This means that both your compensation and job security is highly dependent on your performance. For those that are curious, the rough distribution of a trader’s compensation based on performance is a tenth of the annual NBA salary.
There is a mystique about trading in popular media due to the abstraction of complicated quantitative models. I will shed light on some of the fundamental principles rooted in all trading strategies, and how they might apply to you.

Arbitrage

One way traders make money is through an arbitrage or a risk free trade. Suppose you could buy an apple from Sam for $1, and then sell an apple to Megan at $3. A rational person would orchestrate both legs of these trades to gain $2 risk free.
Arbitrages are not only found in financial markets. The popular e-commerce strategy of drop-shipping is a form of arbitrage. Suppose you find a tripod selling on AliExpress at $10. You could list the same tripod on Amazon for $20. If someone buys from you, then you could simply purchase the tripod off AliExpress and take home a neat $10 profit.
The same could be applied to garage sales. If you find a baseball card for $2 that has a last sold price on EBay for $100, you have the potential to make $98. Of course this is not a perfect arbitrage as you face the risk of finding a buyer, but the upside makes this worthwhile.

Positive expected value bets

Another way traders make money is similar to the way a casino stacks the odds in their favour. Imagine you flip a fair coin. If it lands on heads you win $3, and if it lands on tails you lose $1. If you flip the coin only once, you may be unlucky and lose the dollar. However in the long run, you are expected to make a positive profit of $1 per coin flip. This is referred to as a positive expected value bet. Over the span of millions of transactions, you are almost guaranteed to make a profit.
This exact principle is why you should never gamble in casino games such as roulette. These games are all negative expected value bets, which guarantees you to lose money over the long run. Of course there are exceptions to this, such as poker or card counting in black jack.
The next time you walk into a casino, make a mental note to observe the ways it is designed to keep you there for as long as possible. Note the lack of windows and the maze like configurations. Even the free drinks and the cheap accommodation are all a farce to keep you there.

Relative Pricing

Relative pricing is a great strategy to use when there are two products that have clear causal relationships. Let us consider an apple and a carton of apple juice. Suppose there have a causal relationship where the carton is always $9 more expensive than the apple. The apple and the carton is currently trading at $1 and $10 respectively.
If the price of the apple goes up to $2, the price is not immediately reflected on the carton. There will always be a time lag. It is also important to note that there is no way we can determine if the apple is trading at fair value or if its overpriced. So how do we take advantage of this situation?
If we buy the carton for $10 and sell the apple for $2, we have essentially bought the ‘spread’ for $8. The spread is fairly valued at $9 due to the causal relationship, meaning we have made $1. The reason high frequency trading firms focus so much on latency in the nanoseconds is to be the first to scoop up these relative mispricing.
This is the backbone for delta one strategies. Common pairs that are traded against each other includes ETFs and their inverse counterpart, a particular stock against an ETF that contains the stock, or synthetic option structures.

Correlations

Correlations are mutual connections between two things. When they trend in the same direction they are said to have a positive correlation, and the vice versa is true for negative correlations. A popular example of positive correlation is the number of shark attacks with the number of ice-cream sales. It is important to note that shark attacks do not cause ice-cream sales.
Often times there are no intuitive reason for certain correlations, but they still work. The legendary Renaissance Technologies sifted through petabytes of historical data to find profitable signals. For instance, good morning weather in a city tended to predict an upward movement in its stock exchange. One could theoretically buy stock on the opening and sell at noon to make a profit.
One important piece of advice is to disregard any retail trader selling a course to you, claiming that they have a system. These are all scams. At best, these are bottom of the mill signals that are hardly profitable after transaction costs. It is also unlikely that you have the system latency, trading experience or research capabilities to do this on your own. It is possible, but very difficult.

Mean reversions

Another common strategy traders rely on is mean reversion trends. In the options world the primary focus is purchasing volatility when it is cheap compared to historical values, and vice versa. Buying options is essentially synonymous with buying volatility. Of course, it is not as simple as this so don’t go punting your savings on Robinhood using this strategy.
For most people, the most applicable mean reversion trend is interest rates. These tend to fluctuate up and down depending on if the central banks want to stimulate saving or spending. As global interest rates are next to zero or negative, it may be a good idea to lock in this low rate for your mortgages. Again, consult with a financial advisor before you do anything.

Wall Street Week Ahead for the trading week beginning October 5th, 2020

Good Friday evening to all of you here on StockMarket. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning October 5th, 2020.

Trump’s health and fiscal stimulus fight will steer the markets in the week ahead - (Source)

President Donald Trump’s health and the state of a fiscal stimulus package will be the main focus for markets in the coming week.
In the early morning hours Friday, President Donald Trump tweeted that he and the first lady tested positive for Covid. Stocks sold off hard, but the S&P 500 came off its lows in Friday trading and closed down just under 1%. It was up 1.5% for the week.
The market was helped by signs that a stimulus package is still a possibility, after House Speaker Nancy Pelosi asked airlines not to furlough workers. She promised either a stand alone aid bill, or a bigger negotiated relief legislation that would help the industry.
“The market is going to watch health updates from the White House medical staff, and it’s going to watch how the president communicates with the public,” said Julian Emanuel, head of equities and derivatives at BTIG. “Will we see him in person in the next week in any form? What’s his volume of tweets? All as a way to first gauge the severity of the case.”
Trump and Melania Trump are reported to have mild cases, but as time goes on the market will turn to how the illness could impact the presidential election.
Former Vice President Joe Biden gained slightly in the polls after the first debate Tuesday night, and now the calendar for further debates is in question. The market has seemingly warmed to Biden, and even though he would raise taxes, it is assumed Democrats would quickly pass a major infrastructure package if there is a Democratic sweep of Congress.
Trump, however, is widely seen on Wall Street as stronger on the economy and better for markets.
“What you’ve done from a campaign perspective, is you’ve taken away the thing that gives him the most energy - his ability to interact with crowds,” said Emanuel. “The president had wanted to paint the economic recovery of the last three or four months as the cornerstone, and this basically puts the virus back as topic number 1, number 2 and number 3. And it’s all the more so because the data is coming in weaker than expected.”
The market is fixated on the prospect of stimulus to help business, the unemployed and state and local governments. The House passed a $2.2 trillion package this week, but there is still no agreement with Republicans. Treasury Secretary Steven Mnuchin has pushed for a $1.6 trillion package.
“I think there’s an underlying bid under the market because nobody wants to be super short if we get a stimulus approved, but you can’t be too long in case his mild symptoms turn into severe symptoms,” said Scott Redler, partner with T3live.com. “We’re in a tough spot but overall we’re still pretty constructive.”
Emanuel said the fact the president is now ill could hurt confidence and slow down some of the improvement in the economy.
“The underlying tone is, again, whether its directly or later, there’s going to be stimulus,” Emanuel said. ”’Whether it’s this month or November, this reinforces the need for stimulus because the president falling ill signals to, at the margin, the person whose thinking about going out to dinner to think again. It’s a significant economic and psychological hindrance.”
Also coming up in the week ahead is a speech Tuesday by Fed Chairman Jerome Powell to the National Association of Business Economists.
Powell is also expected to push for the stimulus package to boost the economy so the recovery does not stall.
“I think his whole objective is to try to get Congress and the Administration to sign onto a fiscal rescue package,” said Mark Zandi, chief economist at Moody’s Analytics. “He’ll all but come out and say [the recovery] is not a ‘V.’ Without additional support from lawmakers, risks are pretty high that we backtrack. I think that’s the kind of outlook he’s going to give. It’s going to be full-throated.”
September’s employment report, released Friday, was seen by some as a warning that the economy is not rebounding as expected. There were 661,000 jobs added in September, well below the 800,000 expected.
Besides Powell, there are a half dozen other Fed speakers. There are also minutes from the Fed’s last minute released Wednesday afternoon.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

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S&P Sectors for the Past Week:

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Major Indices Pullback/Correction Levels as of Friday's close:

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Major Indices Rally Levels as of Friday's close:

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Most Anticipated Earnings Releases for this week:

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Here are the upcoming IPO's for this week:

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Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)

(CLICK HERE FOR THE CHART LINK #2!)

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Make Up Your [email protected]#$%^&* Mind!
We've all had versions of this conversation where you or the person you were talking to just couldn't make up their mind. At the end of the day, it only causes trouble and plans are ruined.
The market is having its own back and forth this year trying to decide between growth and value. Just today, growth stocks are getting slaughtered while value stocks are up marginally. As an example, the Russell 1000 Growth index is down 1.8% on the day while the Russell 1000 Value index has managed to rally 0.25%. The chart below shows the daily performance spread between the Russell 1000 Growth index and the Russell 1000 Value index for each day in 2020. Today's performance spread between the two indices marks the ninth time this year that value has outperformed growth by more than two percentage points. At the other extreme, there have also been eight trading days where growth outperformed value by more than two percentage points.

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So how does this year's frequency of days where the performance spread between the two indices was more than two percentage points stack up to other years? The chart below shows the daily performance spread between the two indices going all the way back to 1990. Over the last thirty years, the only two periods where we saw a frequency of these large daily dislocations was back in 2008 and the period spanning 2000 and 2001. In fact, with 17 days this year where the performance spread between the two indices was greater than two percentage points, the only other years that saw a higher frequency of large dislocations were 2000 (54) and 2001 (28). If you think the market has been indecisive this year, in 2000 we saw these types of daily dislocations an average of once per week.

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Election Anxiety Weighs on October Market Performance
October often evokes fear on Wall Street as memories are stirred of crashes in 1929, 1987, the 554-point drop on October 27, 1997, back-to-back massacres in 1978 and 1979, Friday the 13th in 1989 and the 733-point drop on October 15, 2008. During the week ending October 10, 2008, Dow lost 1,874.19 points (18.2%), the worst weekly decline in our database going back to 1901, in percentage terms. March 2020 now holds the dubious honor of producing the worst, second and third worst DJIA weekly point declines. The term “Octoberphobia” has been used to describe the phenomenon of major market drops occurring during the month. Market calamities can become a self-fulfilling prophecy, so stay on the lookout and don’t get whipsawed if it happens.
But October has become a turnaround month—a “bear killer” if you will. Twelve post-WWII bear markets have ended in October: 1946, 1957, 1960, 1962, 1966, 1974, 1987, 1990, 1998, 2001, 2002 and 2011 (S&P 500 declined 19.4%). However, eight were midterm bottoms. Over the last 21 years, October’s performance has been solid. Average gains over the last 21-years range from 1.3% by Russell 1000 to 2.4% by NASDAQ. Small caps have still struggled though with Russell 2000 gaining a modest 0.5%

(CLICK HERE FOR THE CHART!)
Election-year Octobers rank dead last for Dow, S&P 500 (since 1952), NASDAQ (since 1972), Russell 1000, and Russell 2000 (since 1980). Eliminating gruesome 2008 from the calculation provides a moderate amount of relief, as rankings climb to mid pack. Should a meaningful decline materialize in October it is likely to be an excellent buying opportunity, especially for any depressed technology and small-cap shares.

What Have Democratic Sweeps Meant for the S&P 500?
Headed into the first presidential debate Tuesday night, betting markets (ElectionBettingOdds.com) placed Democratic candidate Joe Biden as the slight favorite to take the White House in November. The debate resulted in Biden gaining another 5 percentage point chance of winning the Presidency. As of this morning, Biden's odds to win are at 59.8% versus Trump's odds of 38.9%. Additionally, Democrats are slight favorites to win control of the Senate (58.4% to 41.5%) and big favorites to maintain the House (82.8% to 17.1%). Given these odds, in the chart below we show the average performance of the S&P 500 from the three months before Election Day through three months after Election Day for all election years post-WWII that resulted in a sweep of the executive and legislative branch by the Democrats.
As shown, on average the S&P 500 has been on the decline in the weeks leading up to Election Day, though in the days just before the Election there has been a small rally that sharply reverses once the results come in. After the initial post-Election drop, the market has trended a bit higher, but by three months after the Election, it has only found itself around the same levels as Election Day; on average a 2.6% loss versus where the index stood three months prior.

(CLICK HERE FOR THE CHART!)
The composite shown above is comprised of six different years: 1948, 1960, 1964, 1976, 1992, and 2008. While on average the S&P 500 has traded lower, it is not necessarily a sure-fire thing. For example, 1948 and 2008 were the only years that saw the S&P 500 trade and stay significantly lower in the wake of the election. In 1976, there was similarly a sell-off in the immediate aftermath of the election, but the index did make its way back up to the highs of that six-month time frame later on albeit no new high was put in place. Meanwhile, 1960, 1964, and 1992 all saw the S&P 500 run higher after the election even despite some periods of consolidation after initial moves higher. In our B.I.G. Tips report from Tuesday, we show these same charts for all Presidential election years post WWII including a look at the average performance given every potential election outcome.

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How Current Returns Stack Up to History
Even after September's weakness, the S&P 500's trailing 12-month total return stood at an impressive 14.9%. Given the events of the last 12 months, one could even say that performance is remarkable. What's even crazier is that the S&P 500's performance over the last 12 months is more than three times stronger than the 12 month period before that (+4.25%). The chart below compares the S&P 500's annualized total returns over the last one, two, five, ten, and twenty years and compares that performance to the historical average return of the index over those same time periods.
The S&P 500's historical average 12-month return is 11.7%, so the current 14.9% gain exceeds that average by more than three full percentage points. Over a two-year window, though, the S&P 500's annualized return of 9.4% is more than a full percentage point below the historical average. Looking further out, the S&P 500's trailing five and ten-year annualized return has been much stronger than average, which makes sense given the long bull market we were in. Over a 20 year window, though, the S&P 500 is only just starting to work off some of the declines from the dot-com bust and as a result, the 6.4% annualized gain is a four and a half percentage points below the long-term average of 10.9%.

(CLICK HERE FOR THE CHART!)
Below we show how the current performance of the S&P 500 in each of the time frames shown compares to all other periods on a percentile basis. The S&P 500's performance over the last year, ranks just below 56th percentile of all other periods, while the two-year performance ranks just below the 42nd percentile. Even as the five and ten-year periods have seen well above average returns, they still rank in just the mid-60s on a percentile basis. The S&P 500's ranking over a 20-year time period is a completely different story ranking in single-digits on a percentile basis. Even with the equity market right near record highs, the last two decades have been forgettable for US equities.

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Seasonals Are Back In Style Again
There is no denying that market seasonality has not worked so well this year. But we have been here before and history is on our side. Over the long term, intermediate term and short term market seasonality has suffered brief periods when seasonality was overridden by more powerful forces. The COVID pandemic and economic shutdown certainly qualifies. But it is only a matter of time until repetitive human behavior patterns and people and institutions return to moving money around in the usual daily, weekly, monthly, quarterly and seasonal patterns.
The return of perennial September weakness is emblematic of a return to normal market behavior and a reflection of the fact that despite the continuing concerns about surges in coronavirus cases life is beginning to return to normal. In our area, about 25-30 miles north of New York City, our kids are beginning hybrid learning, playing rugby, lacrosse and other sports (yes with some COVID protocols, but tackling and facing-off), golf outings are happening and people are going to restaurants and out and about.
The chart here shows the historical One-Year Pattern of the S&P 500 Since 1950 versus 2020. The black line shows the seasonal pattern since 1950. The blue represents the pattern since 1988. We use 1988 as it is the first year after the 1987 Crash when the market underwent a major systemic change with the implementation of downside protection circuit breakers and collars. It is noteworthy how the seasonal pattern persists during both the 70-year and 31-year timeframes.
2020 is plotted on the right axis due to the magnitude of the move this year. The yellow box highlights the rebirth of seasonality this September, especially during this notoriously negative Week After Triple Witching Week as detailed page 108 of the 2020 Almanac, indicated by the two black arrows
Years like 1980, 1982, 2009 and 2016 with unseasonably early weakness and bear markets like 2020 returned to normal seasonal patterns in short order. And years like 1954, 1958, 1980, 1982, 1995 and 2009 that exhibited double-digit gains in the Worst Six Months still proceeded to deliver further sizable gains in the subsequent Best Six Months (page 52, STA 2020). We believe the return of market seasonality is upon us. So remain cautious through the end of September and be alert to Octoberophobia, but remain ready to pounce on our Best Months Seasonal MACD Buy Signal, when it triggers.

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STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending October 2nd, 2020

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STOCK MARKET VIDEO: ShadowTrader Video Weekly 10.4.20

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(VIDEO NOT YET POSTED.)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-

$DPZ

$PAYX

$RPM

$HELE

$AYI

$LEVI

$LW

$LNDC

$SAR

$EXFO

$RGP

(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)

(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)

Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 10.5.20 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Monday 10.5.20 After Market Close:

([CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Tuesday 10.6.20 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 10.6.20 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 10.7.20 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 10.7.20 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 10.8.20 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 10.8.20 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 10.9.20 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 10.9.20 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Domino's Pizza, Inc. $433.78
Domino's Pizza, Inc. (DPZ) is confirmed to report earnings at approximately 7:30 AM ET on Thursday, October 8, 2020. The consensus earnings estimate is $2.73 per share on revenue of $944.53 million and the Earnings Whisper ® number is $2.83 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 33.17% with revenue increasing by 15.07%. Short interest has decreased by 31.5% since the company's last earnings release while the stock has drifted higher by 7.4% from its open following the earnings release to be 22.3% above its 200 day moving average of $354.71. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 7.3% move on earnings and the stock has averaged a 8.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Paychex, Inc. $79.43
Paychex, Inc. (PAYX) is confirmed to report earnings at approximately 8:30 AM ET on Tuesday, October 6, 2020. The consensus earnings estimate is $0.56 per share on revenue of $895.39 million and the Earnings Whisper ® number is $0.57 per share. Investor sentiment going into the company's earnings release has 49% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 21.13% with revenue decreasing by 9.74%. Short interest has decreased by 9.7% since the company's last earnings release while the stock has drifted higher by 2.8% from its open following the earnings release to be 6.0% above its 200 day moving average of $74.91. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 18, 2020 there was some notable buying of 1,269 contracts of the $90.00 call expiring on Friday, March 19, 2021. Option traders are pricing in a 4.8% move on earnings and the stock has averaged a 2.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

RPM International Inc. $82.64
RPM International Inc. (RPM) is confirmed to report earnings at approximately 6:45 AM ET on Wednesday, October 7, 2020. The consensus earnings estimate is $1.21 per share on revenue of $1.49 billion and the Earnings Whisper ® number is $1.26 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 27.37% with revenue increasing by 1.17%. Short interest has decreased by 39.7% since the company's last earnings release while the stock has drifted higher by 3.3% from its open following the earnings release to be 12.4% above its 200 day moving average of $73.51. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 4.4% move on earnings and the stock has averaged a 2.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Helen of Troy Ltd. $199.83
Helen of Troy Ltd. (HELE) is confirmed to report earnings at approximately 6:30 AM ET on Thursday, October 8, 2020. The consensus earnings estimate is $2.39 per share on revenue of $451.26 million and the Earnings Whisper ® number is $2.57 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 18.91% with revenue increasing by 9.00%. Short interest has decreased by 6.4% since the company's last earnings release while the stock has drifted lower by 4.4% from its open following the earnings release to be 12.8% above its 200 day moving average of $177.13. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.7% move on earnings and the stock has averaged a 8.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Acuity Brands, Inc. $105.61
Acuity Brands, Inc. (AYI) is confirmed to report earnings at approximately 8:40 AM ET on Thursday, October 8, 2020. The consensus earnings estimate is $2.01 per share on revenue of $814.63 million and the Earnings Whisper ® number is $2.12 per share. Investor sentiment going into the company's earnings release has 46% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 28.21% with revenue decreasing by 13.16%. Short interest has increased by 62.6% since the company's last earnings release while the stock has drifted higher by 5.6% from its open following the earnings release to be 4.1% above its 200 day moving average of $101.43. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.8% move on earnings and the stock has averaged a 9.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Levi Strauss & Co. $14.15
Levi Strauss & Co. (LEVI) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, October 6, 2020. The consensus estimate is for a loss of $0.27 per share on revenue of $766.84 million and the Earnings Whisper ® number is ($0.20) per share. Investor sentiment going into the company's earnings release has 40% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 187.10% with revenue decreasing by 47.01%. Short interest has increased by 3.9% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 3.5% below its 200 day moving average of $14.66. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, October 2, 2020 there was some notable buying of 8,166 contracts of the $14.00 call expiring on Friday, October 16, 2020. Option traders are pricing in a 10.6% move on earnings and the stock has averaged a 6.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Lamb Weston Holdings, Inc. $67.93
Lamb Weston Holdings, Inc. (LW) is confirmed to report earnings at approximately 8:30 AM ET on Wednesday, October 7, 2020. The consensus earnings estimate is $0.30 per share on revenue of $877.60 million and the Earnings Whisper ® number is $0.28 per share. Investor sentiment going into the company's earnings release has 36% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 62.03% with revenue decreasing by 11.26%. Short interest has decreased by 21.7% since the company's last earnings release while the stock has drifted higher by 4.1% from its open following the earnings release to be 1.8% below its 200 day moving average of $69.17. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, October 2, 2020 there was some notable buying of 1,580 contracts of the $70.00 call expiring on Friday, October 16, 2020. Option traders are pricing in a 8.3% move on earnings and the stock has averaged a 6.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Landec Corp. $9.43
Landec Corp. (LNDC) is confirmed to report earnings at approximately 4:20 PM ET on Tuesday, October 6, 2020. The consensus estimate is for a loss of $0.11 per share on revenue of $127.86 million and the Earnings Whisper ® number is ($0.09) per share. Investor sentiment going into the company's earnings release has 41% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 31.25% with revenue decreasing by 7.82%. Short interest has decreased by 5.1% since the company's last earnings release while the stock has drifted lower by 12.3% from its open following the earnings release to be 8.4% below its 200 day moving average of $10.30. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 16.7% move on earnings and the stock has averaged a 10.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Saratoga Investment Corp $17.27
Saratoga Investment Corp (SAR) is confirmed to report earnings at approximately 4:00 PM ET on Wednesday, October 7, 2020. The consensus earnings estimate is $0.47 per share on revenue of $12.95 million. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 30.88% with revenue decreasing by 6.75%. Short interest has decreased by 60.5% since the company's last earnings release while the stock has drifted higher by 6.3% from its open following the earnings release. Overall earnings estimates have been revised lower since the company's last earnings release.

(CLICK HERE FOR THE CHART!)

EXFO Inc. $3.24
EXFO Inc. (EXFO) is confirmed to report earnings at approximately 4:00 PM ET on Wednesday, October 7, 2020. The consensus earnings estimate is $0.07 per share on revenue of $64.85 million and the Earnings Whisper ® number is $0.07 per share. Investor sentiment going into the company's earnings release has 30% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 40.00% with revenue decreasing by 7.59%. Short interest has decreased by 17.5% since the company's last earnings release while the stock has drifted lower by 14.7% from its open following the earnings release. Overall earnings estimates have been revised higher since the company's last earnings release.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead StockMarket.

Wall Street Week Ahead for the trading week beginning October 5th, 2020

Good Saturday morning to all of you here on smallstreetbets. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning October 5th, 2020.

Trump’s health and fiscal stimulus fight will steer the markets in the week ahead - (Source)

President Donald Trump’s health and the state of a fiscal stimulus package will be the main focus for markets in the coming week.
In the early morning hours Friday, President Donald Trump tweeted that he and the first lady tested positive for Covid. Stocks sold off hard, but the S&P 500 came off its lows in Friday trading and closed down just under 1%. It was up 1.5% for the week.
The market was helped by signs that a stimulus package is still a possibility, after House Speaker Nancy Pelosi asked airlines not to furlough workers. She promised either a stand alone aid bill, or a bigger negotiated relief legislation that would help the industry.
“The market is going to watch health updates from the White House medical staff, and it’s going to watch how the president communicates with the public,” said Julian Emanuel, head of equities and derivatives at BTIG. “Will we see him in person in the next week in any form? What’s his volume of tweets? All as a way to first gauge the severity of the case.”
Trump and Melania Trump are reported to have mild cases, but as time goes on the market will turn to how the illness could impact the presidential election.
Former Vice President Joe Biden gained slightly in the polls after the first debate Tuesday night, and now the calendar for further debates is in question. The market has seemingly warmed to Biden, and even though he would raise taxes, it is assumed Democrats would quickly pass a major infrastructure package if there is a Democratic sweep of Congress.
Trump, however, is widely seen on Wall Street as stronger on the economy and better for markets.
“What you’ve done from a campaign perspective, is you’ve taken away the thing that gives him the most energy - his ability to interact with crowds,” said Emanuel. “The president had wanted to paint the economic recovery of the last three or four months as the cornerstone, and this basically puts the virus back as topic number 1, number 2 and number 3. And it’s all the more so because the data is coming in weaker than expected.”
The market is fixated on the prospect of stimulus to help business, the unemployed and state and local governments. The House passed a $2.2 trillion package this week, but there is still no agreement with Republicans. Treasury Secretary Steven Mnuchin has pushed for a $1.6 trillion package.
“I think there’s an underlying bid under the market because nobody wants to be super short if we get a stimulus approved, but you can’t be too long in case his mild symptoms turn into severe symptoms,” said Scott Redler, partner with T3live.com. “We’re in a tough spot but overall we’re still pretty constructive.”
Emanuel said the fact the president is now ill could hurt confidence and slow down some of the improvement in the economy.
“The underlying tone is, again, whether its directly or later, there’s going to be stimulus,” Emanuel said. ”’Whether it’s this month or November, this reinforces the need for stimulus because the president falling ill signals to, at the margin, the person whose thinking about going out to dinner to think again. It’s a significant economic and psychological hindrance.”
Also coming up in the week ahead is a speech Tuesday by Fed Chairman Jerome Powell to the National Association of Business Economists.
Powell is also expected to push for the stimulus package to boost the economy so the recovery does not stall.
“I think his whole objective is to try to get Congress and the Administration to sign onto a fiscal rescue package,” said Mark Zandi, chief economist at Moody’s Analytics. “He’ll all but come out and say [the recovery] is not a ‘V.’ Without additional support from lawmakers, risks are pretty high that we backtrack. I think that’s the kind of outlook he’s going to give. It’s going to be full-throated.”
September’s employment report, released Friday, was seen by some as a warning that the economy is not rebounding as expected. There were 661,000 jobs added in September, well below the 800,000 expected.
Besides Powell, there are a half dozen other Fed speakers. There are also minutes from the Fed’s last minute released Wednesday afternoon.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)

(CLICK HERE FOR THE CHART LINK #2!)

(CLICK HERE FOR THE CHART LINK #3!)

Make Up Your [email protected]#$%^&* Mind!
We've all had versions of this conversation where you or the person you were talking to just couldn't make up their mind. At the end of the day, it only causes trouble and plans are ruined.
The market is having its own back and forth this year trying to decide between growth and value. Just today, growth stocks are getting slaughtered while value stocks are up marginally. As an example, the Russell 1000 Growth index is down 1.8% on the day while the Russell 1000 Value index has managed to rally 0.25%. The chart below shows the daily performance spread between the Russell 1000 Growth index and the Russell 1000 Value index for each day in 2020. Today's performance spread between the two indices marks the ninth time this year that value has outperformed growth by more than two percentage points. At the other extreme, there have also been eight trading days where growth outperformed value by more than two percentage points.

(CLICK HERE FOR THE CHART!)
So how does this year's frequency of days where the performance spread between the two indices was more than two percentage points stack up to other years? The chart below shows the daily performance spread between the two indices going all the way back to 1990. Over the last thirty years, the only two periods where we saw a frequency of these large daily dislocations was back in 2008 and the period spanning 2000 and 2001. In fact, with 17 days this year where the performance spread between the two indices was greater than two percentage points, the only other years that saw a higher frequency of large dislocations were 2000 (54) and 2001 (28). If you think the market has been indecisive this year, in 2000 we saw these types of daily dislocations an average of once per week.

(CLICK HERE FOR THE CHART!)

Election Anxiety Weighs on October Market Performance
October often evokes fear on Wall Street as memories are stirred of crashes in 1929, 1987, the 554-point drop on October 27, 1997, back-to-back massacres in 1978 and 1979, Friday the 13th in 1989 and the 733-point drop on October 15, 2008. During the week ending October 10, 2008, Dow lost 1,874.19 points (18.2%), the worst weekly decline in our database going back to 1901, in percentage terms. March 2020 now holds the dubious honor of producing the worst, second and third worst DJIA weekly point declines. The term “Octoberphobia” has been used to describe the phenomenon of major market drops occurring during the month. Market calamities can become a self-fulfilling prophecy, so stay on the lookout and don’t get whipsawed if it happens.
But October has become a turnaround month—a “bear killer” if you will. Twelve post-WWII bear markets have ended in October: 1946, 1957, 1960, 1962, 1966, 1974, 1987, 1990, 1998, 2001, 2002 and 2011 (S&P 500 declined 19.4%). However, eight were midterm bottoms. Over the last 21 years, October’s performance has been solid. Average gains over the last 21-years range from 1.3% by Russell 1000 to 2.4% by NASDAQ. Small caps have still struggled though with Russell 2000 gaining a modest 0.5%

(CLICK HERE FOR THE CHART!)
Election-year Octobers rank dead last for Dow, S&P 500 (since 1952), NASDAQ (since 1972), Russell 1000, and Russell 2000 (since 1980). Eliminating gruesome 2008 from the calculation provides a moderate amount of relief, as rankings climb to mid pack. Should a meaningful decline materialize in October it is likely to be an excellent buying opportunity, especially for any depressed technology and small-cap shares.

What Have Democratic Sweeps Meant for the S&P 500?
Headed into the first presidential debate Tuesday night, betting markets (ElectionBettingOdds.com) placed Democratic candidate Joe Biden as the slight favorite to take the White House in November. The debate resulted in Biden gaining another 5 percentage point chance of winning the Presidency. As of this morning, Biden's odds to win are at 59.8% versus Trump's odds of 38.9%. Additionally, Democrats are slight favorites to win control of the Senate (58.4% to 41.5%) and big favorites to maintain the House (82.8% to 17.1%). Given these odds, in the chart below we show the average performance of the S&P 500 from the three months before Election Day through three months after Election Day for all election years post-WWII that resulted in a sweep of the executive and legislative branch by the Democrats.
As shown, on average the S&P 500 has been on the decline in the weeks leading up to Election Day, though in the days just before the Election there has been a small rally that sharply reverses once the results come in. After the initial post-Election drop, the market has trended a bit higher, but by three months after the Election, it has only found itself around the same levels as Election Day; on average a 2.6% loss versus where the index stood three months prior.

(CLICK HERE FOR THE CHART!)
The composite shown above is comprised of six different years: 1948, 1960, 1964, 1976, 1992, and 2008. While on average the S&P 500 has traded lower, it is not necessarily a sure-fire thing. For example, 1948 and 2008 were the only years that saw the S&P 500 trade and stay significantly lower in the wake of the election. In 1976, there was similarly a sell-off in the immediate aftermath of the election, but the index did make its way back up to the highs of that six-month time frame later on albeit no new high was put in place. Meanwhile, 1960, 1964, and 1992 all saw the S&P 500 run higher after the election even despite some periods of consolidation after initial moves higher. In our B.I.G. Tips report from Tuesday, we show these same charts for all Presidential election years post WWII including a look at the average performance given every potential election outcome.

(CLICK HERE FOR THE CHART!)

How Current Returns Stack Up to History
Even after September's weakness, the S&P 500's trailing 12-month total return stood at an impressive 14.9%. Given the events of the last 12 months, one could even say that performance is remarkable. What's even crazier is that the S&P 500's performance over the last 12 months is more than three times stronger than the 12 month period before that (+4.25%). The chart below compares the S&P 500's annualized total returns over the last one, two, five, ten, and twenty years and compares that performance to the historical average return of the index over those same time periods.
The S&P 500's historical average 12-month return is 11.7%, so the current 14.9% gain exceeds that average by more than three full percentage points. Over a two-year window, though, the S&P 500's annualized return of 9.4% is more than a full percentage point below the historical average. Looking further out, the S&P 500's trailing five and ten-year annualized return has been much stronger than average, which makes sense given the long bull market we were in. Over a 20 year window, though, the S&P 500 is only just starting to work off some of the declines from the dot-com bust and as a result, the 6.4% annualized gain is a four and a half percentage points below the long-term average of 10.9%.

(CLICK HERE FOR THE CHART!)
Below we show how the current performance of the S&P 500 in each of the time frames shown compares to all other periods on a percentile basis. The S&P 500's performance over the last year, ranks just below 56th percentile of all other periods, while the two-year performance ranks just below the 42nd percentile. Even as the five and ten-year periods have seen well above average returns, they still rank in just the mid-60s on a percentile basis. The S&P 500's ranking over a 20-year time period is a completely different story ranking in single-digits on a percentile basis. Even with the equity market right near record highs, the last two decades have been forgettable for US equities.

(CLICK HERE FOR THE CHART!)

Seasonals Are Back In Style Again
There is no denying that market seasonality has not worked so well this year. But we have been here before and history is on our side. Over the long term, intermediate term and short term market seasonality has suffered brief periods when seasonality was overridden by more powerful forces. The COVID pandemic and economic shutdown certainly qualifies. But it is only a matter of time until repetitive human behavior patterns and people and institutions return to moving money around in the usual daily, weekly, monthly, quarterly and seasonal patterns.
The return of perennial September weakness is emblematic of a return to normal market behavior and a reflection of the fact that despite the continuing concerns about surges in coronavirus cases life is beginning to return to normal. In our area, about 25-30 miles north of New York City, our kids are beginning hybrid learning, playing rugby, lacrosse and other sports (yes with some COVID protocols, but tackling and facing-off), golf outings are happening and people are going to restaurants and out and about.
The chart here shows the historical One-Year Pattern of the S&P 500 Since 1950 versus 2020. The black line shows the seasonal pattern since 1950. The blue represents the pattern since 1988. We use 1988 as it is the first year after the 1987 Crash when the market underwent a major systemic change with the implementation of downside protection circuit breakers and collars. It is noteworthy how the seasonal pattern persists during both the 70-year and 31-year timeframes.
2020 is plotted on the right axis due to the magnitude of the move this year. The yellow box highlights the rebirth of seasonality this September, especially during this notoriously negative Week After Triple Witching Week as detailed page 108 of the 2020 Almanac, indicated by the two black arrows
Years like 1980, 1982, 2009 and 2016 with unseasonably early weakness and bear markets like 2020 returned to normal seasonal patterns in short order. And years like 1954, 1958, 1980, 1982, 1995 and 2009 that exhibited double-digit gains in the Worst Six Months still proceeded to deliver further sizable gains in the subsequent Best Six Months (page 52, STA 2020). We believe the return of market seasonality is upon us. So remain cautious through the end of September and be alert to Octoberophobia, but remain ready to pounce on our Best Months Seasonal MACD Buy Signal, when it triggers.

(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending October 2nd, 2020

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 10.4.20

([CLICK HERE FOR THE YOUTUBE VIDEO!]())

(VIDEO NOT YET POSTED.)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-

$DPZ

$PAYX

$RPM

$HELE

$AYI

$LEVI

$LW

$LNDC

$SAR

$EXFO

$RGP

(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)

(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)

Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 10.5.20 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Monday 10.5.20 After Market Close:

([CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Tuesday 10.6.20 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 10.6.20 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 10.7.20 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 10.7.20 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 10.8.20 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 10.8.20 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 10.9.20 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 10.9.20 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Domino's Pizza, Inc. $433.78
Domino's Pizza, Inc. (DPZ) is confirmed to report earnings at approximately 7:30 AM ET on Thursday, October 8, 2020. The consensus earnings estimate is $2.73 per share on revenue of $944.53 million and the Earnings Whisper ® number is $2.83 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 33.17% with revenue increasing by 15.07%. Short interest has decreased by 31.5% since the company's last earnings release while the stock has drifted higher by 7.4% from its open following the earnings release to be 22.3% above its 200 day moving average of $354.71. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 7.3% move on earnings and the stock has averaged a 8.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Paychex, Inc. $79.43
Paychex, Inc. (PAYX) is confirmed to report earnings at approximately 8:30 AM ET on Tuesday, October 6, 2020. The consensus earnings estimate is $0.56 per share on revenue of $895.39 million and the Earnings Whisper ® number is $0.57 per share. Investor sentiment going into the company's earnings release has 49% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 21.13% with revenue decreasing by 9.74%. Short interest has decreased by 9.7% since the company's last earnings release while the stock has drifted higher by 2.8% from its open following the earnings release to be 6.0% above its 200 day moving average of $74.91. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 18, 2020 there was some notable buying of 1,269 contracts of the $90.00 call expiring on Friday, March 19, 2021. Option traders are pricing in a 4.8% move on earnings and the stock has averaged a 2.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

RPM International Inc. $82.64
RPM International Inc. (RPM) is confirmed to report earnings at approximately 6:45 AM ET on Wednesday, October 7, 2020. The consensus earnings estimate is $1.21 per share on revenue of $1.49 billion and the Earnings Whisper ® number is $1.26 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 27.37% with revenue increasing by 1.17%. Short interest has decreased by 39.7% since the company's last earnings release while the stock has drifted higher by 3.3% from its open following the earnings release to be 12.4% above its 200 day moving average of $73.51. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 4.4% move on earnings and the stock has averaged a 2.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Helen of Troy Ltd. $199.83
Helen of Troy Ltd. (HELE) is confirmed to report earnings at approximately 6:30 AM ET on Thursday, October 8, 2020. The consensus earnings estimate is $2.39 per share on revenue of $451.26 million and the Earnings Whisper ® number is $2.57 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 18.91% with revenue increasing by 9.00%. Short interest has decreased by 6.4% since the company's last earnings release while the stock has drifted lower by 4.4% from its open following the earnings release to be 12.8% above its 200 day moving average of $177.13. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.7% move on earnings and the stock has averaged a 8.9% move in recent quarters.

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Acuity Brands, Inc. $105.61
Acuity Brands, Inc. (AYI) is confirmed to report earnings at approximately 8:40 AM ET on Thursday, October 8, 2020. The consensus earnings estimate is $2.01 per share on revenue of $814.63 million and the Earnings Whisper ® number is $2.12 per share. Investor sentiment going into the company's earnings release has 46% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 28.21% with revenue decreasing by 13.16%. Short interest has increased by 62.6% since the company's last earnings release while the stock has drifted higher by 5.6% from its open following the earnings release to be 4.1% above its 200 day moving average of $101.43. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.8% move on earnings and the stock has averaged a 9.0% move in recent quarters.

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Levi Strauss & Co. $14.15
Levi Strauss & Co. (LEVI) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, October 6, 2020. The consensus estimate is for a loss of $0.27 per share on revenue of $766.84 million and the Earnings Whisper ® number is ($0.20) per share. Investor sentiment going into the company's earnings release has 40% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 187.10% with revenue decreasing by 47.01%. Short interest has increased by 3.9% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 3.5% below its 200 day moving average of $14.66. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, October 2, 2020 there was some notable buying of 8,166 contracts of the $14.00 call expiring on Friday, October 16, 2020. Option traders are pricing in a 10.6% move on earnings and the stock has averaged a 6.9% move in recent quarters.

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Lamb Weston Holdings, Inc. $67.93
Lamb Weston Holdings, Inc. (LW) is confirmed to report earnings at approximately 8:30 AM ET on Wednesday, October 7, 2020. The consensus earnings estimate is $0.30 per share on revenue of $877.60 million and the Earnings Whisper ® number is $0.28 per share. Investor sentiment going into the company's earnings release has 36% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 62.03% with revenue decreasing by 11.26%. Short interest has decreased by 21.7% since the company's last earnings release while the stock has drifted higher by 4.1% from its open following the earnings release to be 1.8% below its 200 day moving average of $69.17. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, October 2, 2020 there was some notable buying of 1,580 contracts of the $70.00 call expiring on Friday, October 16, 2020. Option traders are pricing in a 8.3% move on earnings and the stock has averaged a 6.7% move in recent quarters.

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Landec Corp. $9.43
Landec Corp. (LNDC) is confirmed to report earnings at approximately 4:20 PM ET on Tuesday, October 6, 2020. The consensus estimate is for a loss of $0.11 per share on revenue of $127.86 million and the Earnings Whisper ® number is ($0.09) per share. Investor sentiment going into the company's earnings release has 41% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 31.25% with revenue decreasing by 7.82%. Short interest has decreased by 5.1% since the company's last earnings release while the stock has drifted lower by 12.3% from its open following the earnings release to be 8.4% below its 200 day moving average of $10.30. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 16.7% move on earnings and the stock has averaged a 10.6% move in recent quarters.

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Saratoga Investment Corp $17.27
Saratoga Investment Corp (SAR) is confirmed to report earnings at approximately 4:00 PM ET on Wednesday, October 7, 2020. The consensus earnings estimate is $0.47 per share on revenue of $12.95 million. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 30.88% with revenue decreasing by 6.75%. Short interest has decreased by 60.5% since the company's last earnings release while the stock has drifted higher by 6.3% from its open following the earnings release. Overall earnings estimates have been revised lower since the company's last earnings release.

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EXFO Inc. $3.24
EXFO Inc. (EXFO) is confirmed to report earnings at approximately 4:00 PM ET on Wednesday, October 7, 2020. The consensus earnings estimate is $0.07 per share on revenue of $64.85 million and the Earnings Whisper ® number is $0.07 per share. Investor sentiment going into the company's earnings release has 30% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 40.00% with revenue decreasing by 7.59%. Short interest has decreased by 17.5% since the company's last earnings release while the stock has drifted lower by 14.7% from its open following the earnings release. Overall earnings estimates have been revised higher since the company's last earnings release.

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DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead smallstreetbets.

General Election Polling Discussion Thread (August 30th, 2020)

Introduction

Welcome to the /politics polling discussion thread for the general election. As the election nears, polling of both the national presidential popular vote and important swing states is ramping up, and with both parties effectively deciding on nominees, pollsters can get in the field to start assessing the state of the presidential race. Please use this thread to discuss polling and the general state of the presidential or congressional election. Below, you'll find some of the most recent polls, but this is by no means exhaustive, as well as some links to prognosticators sharing election models.
As always though, polls don't vote, people do. Regardless of whether your candidate is doing well or poorly, democracy only works when people vote, and there are always at least a couple polling misses every cycle, some of which are pretty high profile. If you haven't yet done so, please take some time to register to vote or check your registration status.

Polls

Below is a collection of recent polling of the US Presidential election. This is likely incomplete and also omits the generic congressional ballot as well as Senate/House/Gubernatorial numbers that may accompany these polls. Please use the discussion space below to discuss any additional polls not covered. Additionally, not all polls are created equal. If this is your first time looking at polls, the FiveThirtyEight pollster ratings page is a helpful tool to assess historic partisan lean in certain pollsters, as well as their past performance.
Several polls are in the field, so we won't have a full picture of the field until next week when more are expected to be released. Until then, here are the polls since August 16th.

Poll	Date	Type	Biden	Trump
USC Dornsife	8-30	National	54	39
YouGov	8-29	National	47	41
Morning Consult	8-29	National	50	44
Morning Consult	8-29	National	52	42
USC Dornsife	8-29	National	52	40
Emerson College	8-28	Massachusetts	69	30
Trafalgar Group	8-28	Michigan	45	46
Redfield & Wilton Strategies	8-28	National	48	38
Franklin & Marshall College	8-27	Pennsylvania	49	42
Harris Insights & Analytics	8-26	National	47	38
Ipsos	8-26	National	44	37
Benenson Strategy Group	8-26	National	50	39
Rasmussen Reports	8-26	National	46	45
YouGov	8-26	National	50	41
Roanoke College	8-26	Virginia	53	39
Ipsos	8-26	National	47	40
Change Research	8-26	Wisconsin	49	44
Change Research	8-26	Arizona	49	47
Change Research	8-26	Michigan	50	44
Change Research	8-26	Florida	49	46
Change Research	8-26	National	51	43
Change Research	8-26	North Carolina	48	47
Change Research	8-26	Pennsylvania	49	46
Trafalgar Group	8-25	Wisconsin	45	46
Public Policy Polling	8-25	Delaware	58	37
Public Policy Polling	8-25	New York	63	32
Public Policy Polling	8-25	Florida	48	44
Morning Consult	8-24	National	51	43
Morning Consult	8-24	National	52	43
Morning Consult	8-24	National	52	42
Morning Consult	8-24	National	51	43
Morning Consult	8-24	National	51	43
Morning Consult	8-24	National	52	42
Léger	8-24	National	49	40
Morning Consult	8-24	National	52	42
Morning Consult	8-24	North Carolina	49	46
Public Policy Polling	8-24	Texas	48	47
Trafalgar Group	8-24	Louisiana	37	54
YouGov	8-24	National	50	39
TargetSmart	8-24	Ohio	47	46
YouGov	8-23	National	52	42
Morning Consult	8-22	National	52	43
Morning Consult	8-22	National	51	43
Redfield & Wilton Strategies	8-22	National	49	39
Redfield & Wilton Strategies	8-21	Pennsylvania	48	41
Redfield & Wilton Strategies	8-21	Florida	49	41
Redfield & Wilton Strategies	8-21	North Carolina	44	46
Redfield & Wilton Strategies	8-21	Michigan	50	38
Redfield & Wilton Strategies	8-21	Wisconsin	49	39
Redfield & Wilton Strategies	8-21	Arizona	47	38
Harris Insights & Analytics	8-21	National	46	38
Civiqs	8-21	Wisconsin	51	45
Civiqs	8-21	Pennsylvania	51	44
Civiqs	8-21	Michigan	49	46
Civiqs	8-21	Ohio	47	47
DKC Analytics	8-21	New Jersey	52	33
Saint Anselm College	8-20	New Hampshire	51	43
Muhlenberg College	8-20	Pennsylvania	49	45
Global Strategy Group	8-20	Texas	47	45
Echelon Insights	8-20	National	51	38
Echelon Insights	8-20	National	53	39
Data for Progress	8-20	National	50	41
Morning Consult	8-20	National	47	36
Morning Consult	8-20	National	49	39
Trafalgar Group	8-19	Minnesota	46	46
Ipsos	8-19	National	48	40
Ipsos	8-19	National	45	36
ALG Research	8-19	Louisiana	43	50
Rasmussen Reports	8-19	National	48	44
YouGov	8-19	National	50	40
Harris Insights & Analytics	8-18	National	45	39
OnMessage Inc.	8-18	Wisconsin	47	47
OnMessage Inc.	8-18	Florida	49	49
OnMessage Inc.	8-18	Pennsylvania	50	46
OnMessage Inc.	8-18	Arizona	48	51
GQR Research (GQRR)	8-18	Michigan	52	43
Léger	8-17	National	51	35
Morning Consult	8-17	National	50	43
Morning Consult	8-17	National	51	43
Morning Consult	8-17	National	51	43
Morning Consult	8-17	National	51	43
Morning Consult	8-17	National	51	43
Morning Consult	8-17	National	51	42
Morning Consult	8-17	National	51	42
Morning Consult	8-17	Wisconsin	49	43
Redfield & Wilton Strategies	8-17	National	48	40
Landmark Communications	8-17	Georgia	44	47
YouGov	8-17	National	49	38
YouGov	8-17	National	50	41
YouGov	8-17	Texas	40	47
ABC News	8-17	National	54	44
ABC News	8-17	National	53	41
ABC News	8-17	National	53	41
SSRS	8-16	National	50	46
YouGov	8-16	National	52	42
East Carolina University	8-16	North Carolina	46	46
NBC News	8-16	National	50	41

Election Predictions

Prognosticators

Prognosticators are folks who make projected electoral maps, often on the strength of educated guesses as well as inside information in some cases from campaigns sharing internals with the teams involved. Below are a few of these prognosticators and their assessment of the state of the race:

Cook Political Reports - Charlie Cook's race ratings are well regarded in the political field, and he's been in the business for a while. Cook is known to incorporate both public and nonpublic (ie. internal polling) information in his projections. Also covers (and is perhaps better known for) Senate and House races.
Larry Sabato's Crystal Ball - Larry Sabato has also been in the political prediction business for a while now, and the team at the UVA Center for Politics has been fairly successful in past cycles. Towards the end of the election cycle, Sabato has a policy of making a call in each state, refusing to leave any race in the tossup category. Also covers Senate and House races.
Inside Elections - Inside Elections, run by Nathan Gonzales, is the successor to Stu Rothenberg's Rothenberg Political Reports, which used to be a part of Roll Call. This prognosticator did fairly well in 2018, though Rothenberg himself boldly (along with some other pundits) predicted in 2016 that Donald Trump's path to the presidency was nonexistent. Also covers Senate, House and Gubernatorial races.
Daily Kos Elections - Daily Kos Elections is the direct successor to the Swing State Project website, which merged with Daily Kos in 2010. Despite the liberal lean of the site as a whole, the Daily Kos Elections predictions tend to be fairly even-handed, if not even slightly bearish for Democrats. Presidential numbers aren't up yet but they have Senate, House and Gubernatorial races.
RRH Elections - Red Racing Horses Elections is a site founded by former conservative-leaning members of the Swing State Project community. Despite the conservative nature of the commentary, like DKE, the race predictions tend to be fairly neutral, if slightly bearish for Republicans. Like the Crystal Ball, RRH will call all races before the election so that none are left in the tossup category. The presidential rankings have not been published but they do cover Senate, House, Gubernatorial and Row Officer (statewide elected officials, such as state Attorney General, Secretary of State etc.) races.
Media predictions - CNN | U.S. News | NPR | POLITICO

Polling Models

Polling models are similar to prognosticators (and often the model authors will act like pundits as well), but tend to be about making "educated guesses" on the state of the election. Generally, the models are structured to take in data such as polls and electoral fundamentals, and make a guess based on research on prior elections as to the state of the race in each state. Below are a few of the more prominent models that are online or expected to be online soon:

FiveThirtyEight - after months of work, the model is live! 538's team of analysts have put together a beast of a forecast for 2020. It runs 40,000 simulations of the election and uses that data to come up with a projected winner out of 100 sampled outcomes. It also breaks down the projection to show potential electoral college results, popular vote share, tipping point state likelihood, and it can even be broken down into state-level analytics.
Princeton Election Consortium - this is the model run by Dr. Sam Wang, a neuroscience professor at Princeton University. This model has run in the past two cycles as well, though Sam Wang famously said he'd eat a bug if Donald Trump won the election because his model predicted no path to victory for the eventual winner of the 2016 election. Also includes projections for Senate and House.
JHK Forecasts - the earliest model on the scene this cycle. Jack Kersting's model is one of the newer ones this year and also includes projections for Senate and House.
The Economist - this is the model run by G. Elliott Morris, who previously had a midterm election model under The Crosstab.
Niskanen Center - Rachel Bitecofer's projection, which only seems to update a couple times a cycle. Part of this has to do with Bitecofer's central argument that there are generally no swing voters, and electoral fundamentals drive the outcome of the election. This was put to the test in the 2018 midterms, where Bitecofer very early on predicted a Democratic pickup of 40-45 seats in the House, which fell about where the election ended up.
Lean Tossup - a foreign model from Canada. This model did relatively well in the 2019 Canadian election, but this appears to be the first time they've tried forecasting the US Presidential election. Also includes Senate and House projections.
Primary Model - Helmut Norpoth's model does not actually change with inputs anymore. The outcome it predicts, stated as a 91% chance for President Trump to win reelection, is premised entirely on the primary vote totals in the New Hampshire and South Carolina primaries from earlier this year. Despite being a bit of an outlier against other models, this one was among the only to forecast that then-candidate Donald Trump was a favorite to win election in 2016, and has been applied to correctly predict the winner of 5 of the past 6 presidential elections.

Prediction Markets

Prediction markets are betting markets where people put money on the line to estimate the likelihood of one party winning a seat or state. Most of these markets will also tend to move depending on polling and other socioeconomic factors in the same way that prognosticators and models will work. Predictit and Election Betting Odds are prominent in this space, although RealClearPolitics has an aggregate of other betting sites as well.

General Election Polling Discussion Thread (September 2nd, 2020)

Introduction

Polls

Below is a collection of recent polling of the US Presidential election. This is likely incomplete and also omits the generic congressional ballot as well as Senate/House/Gubernatorial numbers that may accompany these polls. Please use the discussion space below to discuss any additional polls not covered. Additionally, not all polls are created equal. If this is your first time looking at polls, the FiveThirtyEight pollster ratings page is a helpful tool to assess historic partisan lean in certain pollsters, as well as their past performance.
With the conclusion of both major parties’ nominating conventions, pollsters scrambled into the field to conduct polls of swing states and the national race. The result has been a slew of high quality pollsters releasing their numbers on Wednesday as well as today, which paint a picture of the electorate right after the candidates are expected to have received a temporary convention bounce.

Poll	Date	Type	Biden	Trump
Quinnipiac University	9-3	Florida	48	45
Quinnipiac University	9-3	Pennsylvania	52	44
Monmouth University	9-3	North Carolina	48	46
Monmouth University	9-3	North Carolina	47	45
Monmouth University	9-3	North Carolina	48	46
Rasmussen Reports	9-3	Pennsylvania	47	48
Harper Polling	9-3	Minnesota	48	45
USC Dornsife	9-3	National	50	42
USC Dornsife	9-3	National	51	42
Morning Consult	9-2	Wisconsin	52	42
Morning Consult	9-2	Wisconsin	52	42
Morning Consult	9-2	Wisconsin	51	42
Morning Consult	9-2	Wisconsin	51	43
Morning Consult	9-2	Wisconsin	52	42
Morning Consult	9-2	Wisconsin	51	42
Morning Consult	9-2	Wisconsin	53	42
Morning Consult	9-2	Wisconsin	50	43
Morning Consult	9-2	Wisconsin	50	43
Morning Consult	9-2	Wisconsin	50	42
Morning Consult	9-2	Wisconsin	50	42
Morning Consult	9-2	Wisconsin	50	43
Morning Consult	9-2	Wisconsin	50	43
Morning Consult	9-2	Wisconsin	50	43
Morning Consult	9-2	Wisconsin	50	43
Morning Consult	9-2	Wisconsin	48	45
Morning Consult	9-2	Wisconsin	50	43
Morning Consult	9-2	Wisconsin	51	42
Morning Consult	9-2	Wisconsin	51	43
Morning Consult	9-2	Wisconsin	50	43
Morning Consult	9-2	Wisconsin	50	44
Morning Consult	9-2	Wisconsin	51	43
Morning Consult	9-2	Wisconsin	50	41
Morning Consult	9-2	Wisconsin	52	41
Morning Consult	9-2	Wisconsin	49	43
Morning Consult	9-2	Wisconsin	50	43
Morning Consult	9-2	Wisconsin	50	42
Morning Consult	9-2	Wisconsin	51	42
Morning Consult	9-2	Wisconsin	50	42
Morning Consult	9-2	Wisconsin	51	42
Morning Consult	9-2	Wisconsin	51	41
Morning Consult	9-2	Wisconsin	51	43
Morning Consult	9-2	Wisconsin	51	42
Morning Consult	9-2	Wisconsin	51	41
Morning Consult	9-2	Wisconsin	51	41
Morning Consult	9-2	Wisconsin	51	41
Morning Consult	9-2	Wisconsin	49	42
Morning Consult	9-2	Wisconsin	50	41
Morning Consult	9-2	Wisconsin	49	42
Morning Consult	9-2	Wisconsin	50	41
Morning Consult	9-2	Wisconsin	50	41
Morning Consult	9-2	Wisconsin	50	40
Morning Consult	9-2	Wisconsin	51	40
Morning Consult	9-2	Wisconsin	48	44
Morning Consult	9-2	Wisconsin	48	45
Morning Consult	9-2	Wisconsin	49	43
Morning Consult	9-2	Wisconsin	47	45
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	48	44
Morning Consult	9-2	Wisconsin	48	46
Morning Consult	9-2	Wisconsin	48	45
Morning Consult	9-2	Wisconsin	50	44
Morning Consult	9-2	Wisconsin	50	42
Morning Consult	9-2	Wisconsin	50	44
Morning Consult	9-2	Wisconsin	51	43
Morning Consult	9-2	Wisconsin	51	41
Morning Consult	9-2	Wisconsin	51	41
Morning Consult	9-2	Wisconsin	50	40
Morning Consult	9-2	Wisconsin	49	45
Morning Consult	9-2	Wisconsin	50	44
Morning Consult	9-2	Wisconsin	48	46
Morning Consult	9-2	Wisconsin	48	45
Morning Consult	9-2	Wisconsin	49	45
Morning Consult	9-2	Wisconsin	49	45
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	48	45
Morning Consult	9-2	Wisconsin	48	45
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	48	45
Morning Consult	9-2	Wisconsin	48	45
Morning Consult	9-2	Wisconsin	49	45
Morning Consult	9-2	Wisconsin	49	45
Morning Consult	9-2	Wisconsin	50	44
Morning Consult	9-2	Wisconsin	49	45
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	48	44
Morning Consult	9-2	Wisconsin	49	43
Morning Consult	9-2	Wisconsin	49	43
Morning Consult	9-2	Wisconsin	49	43
Morning Consult	9-2	Wisconsin	48	43
Morning Consult	9-2	Wisconsin	50	42
Morning Consult	9-2	Wisconsin	48	44
Morning Consult	9-2	Wisconsin	48	44
Morning Consult	9-2	Wisconsin	48	44
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	48	44
Morning Consult	9-2	Wisconsin	49	43
Morning Consult	9-2	Wisconsin	50	43
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	48	44
Morning Consult	9-2	Wisconsin	49	43
Morning Consult	9-2	Wisconsin	48	43
Morning Consult	9-2	Wisconsin	48	44
Morning Consult	9-2	Wisconsin	48	43
Morning Consult	9-2	Wisconsin	48	42
Morning Consult	9-2	Wisconsin	47	44
Morning Consult	9-2	Wisconsin	49	44
Morning Consult	9-2	Wisconsin	48	43
Morning Consult	9-2	Wisconsin	48	43
Morning Consult	9-2	Wisconsin	47	44
Morning Consult	9-2	Wisconsin	49	43
Morning Consult	9-2	Wisconsin	49	42
Morning Consult	9-2	Wisconsin	49	43
Morning Consult	9-2	Wisconsin	47	44
Morning Consult	9-2	Wisconsin	48	43
Morning Consult	9-2	Wisconsin	49	43
Morning Consult	9-2	Wisconsin	48	43
Morning Consult	9-2	Wisconsin	48	44
Morning Consult	9-2	Wisconsin	47	45
Morning Consult	9-2	Wisconsin	47	45
Morning Consult	9-2	Wisconsin	47	45
Fox News	9-2	Wisconsin	49	41
Fox News	9-2	North Carolina	49	45
Fox News	9-2	Wisconsin	50	42
Fox News	9-2	North Carolina	50	46
Fox News	9-2	Arizona	49	40
Fox News	9-2	Arizona	49	39
Ipsos	9-2	National	43	38
SSRS	9-2	National	51	43
Harris Insights & Analytics	9-2	National	46	40
Morning Consult	9-2	National	51	43
Morning Consult	9-2	National	51	43
Morning Consult	9-2	National	50	43
Morning Consult	9-2	National	51	44
Morning Consult	9-2	National	52	42
Morning Consult	9-2	National	51	43
Quinnipiac University	9-2	National	52	42
Qriously	9-2	National	46	41
Opinium	9-2	Florida	50	43
Opinium	9-2	Wisconsin	53	39
IBD	9-2	National	49	41
YouGov	9-2	National	51	40
Rasmussen Reports	9-2	National	48	45
Monmouth University	9-2	Pennsylvania	49	46
Monmouth University	9-2	Pennsylvania	49	45
Monmouth University	9-2	Pennsylvania	48	47
Suffolk University	9-2	National	46	41
Ipsos	9-2	National	47	40
USC Dornsife	9-2	National	51	42
USC Dornsife	9-2	National	51	41
Opinium	9-2	National	53	39
Suffolk University	9-2	National	49	43
Selzer & Co.	9-2	National	49	41
Redfield & Wilton Strategies	9-1	National	49	40
Landmark Communications	9-1	Georgia	40	47
East Carolina University	9-1	North Carolina	46	48
Public Policy Polling	9-1	Michigan	48	44
Expedition Strategies	9-1	Montana	44	48
University of Nevada, Las Vegas	9-1	Nevada	44	38
Morning Consult	9-1	National	52	43
Morning Consult	9-1	National	51	43
Morning Consult	9-1	Texas	47	48
Morning Consult	9-1	Florida	49	47
Morning Consult	9-1	Pennsylvania	49	45
Morning Consult	9-1	National	51	43
Morning Consult	9-1	North Carolina	49	47
Morning Consult	9-1	Ohio	45	50
Morning Consult	9-1	Minnesota	50	43
Morning Consult	9-1	Florida	50	45
Morning Consult	9-1	Georgia	49	46
Morning Consult	9-1	Michigan	50	44
Morning Consult	9-1	Georgia	46	47
Morning Consult	9-1	Colorado	51	41
Morning Consult	9-1	Wisconsin	52	43
Morning Consult	9-1	Michigan	52	42
Morning Consult	9-1	Arizona	52	42
Morning Consult	9-1	Colorado	51	41
Morning Consult	9-1	Texas	46	47
Morning Consult	9-1	Minnesota	50	42
Morning Consult	9-1	Ohio	45	49
Morning Consult	9-1	North Carolina	49	46
Morning Consult	9-1	Pennsylvania	50	44
Morning Consult	9-1	Arizona	45	47
USC Dornsife	9-1	National	51	41
USC Dornsife	9-1	National	51	41
Léger	9-1	National	49	42
AtlasIntel	9-1	National	49	46
Emerson College	8-31	National	51	48
RMG Research	8-31	National	48	44
Global Strategy Group	8-31	Pennsylvania	53	43
Global Strategy Group	8-31	Pennsylvania	50	42
Public Policy Polling	8-31	Georgia	47	46
Harris Insights & Analytics	8-31	National	47	38
GQR Research (GQRR)	8-31	Pennsylvania	52	43
Trafalgar Group	8-31	Missouri	41	51
USC Dornsife	8-31	National	53	40
USC Dornsife	8-31	National	52	40
John Zogby Strategies	8-30	National	45	42
John Zogby Strategies	8-30	National	48	42
USC Dornsife	8-30	National	54	39
USC Dornsife	8-30	National	53	39

Election Predictions

Prognosticators

Cook Political Reports - Charlie Cook's race ratings are well regarded in the political field, and he's been in the business for a while. Cook is known to incorporate both public and nonpublic (ie. internal polling) information in his projections. Also covers (and is perhaps better known for) Senate and House races.
Larry Sabato's Crystal Ball - Larry Sabato has also been in the political prediction business for a while now, and the team at the UVA Center for Politics has been fairly successful in past cycles. Towards the end of the election cycle, Sabato has a policy of making a call in each state, refusing to leave any race in the tossup category. Also covers Senate and House races.
Inside Elections - Inside Elections, run by Nathan Gonzales, is the successor to Stu Rothenberg's Rothenberg Political Reports, which used to be a part of Roll Call. This prognosticator did fairly well in 2018, though Rothenberg himself boldly (along with some other pundits) predicted in 2016 that Donald Trump's path to the presidency was nonexistent. Also covers Senate, House and Gubernatorial races.
Daily Kos Elections - Daily Kos Elections is the direct successor to the Swing State Project website, which merged with Daily Kos in 2010. Despite the liberal lean of the site as a whole, the Daily Kos Elections predictions tend to be fairly even-handed, if not even slightly bearish for Democrats. Presidential numbers aren't up yet but they have Senate, House and Gubernatorial races.
RRH Elections - Red Racing Horses Elections is a site founded by former conservative-leaning members of the Swing State Project community. Despite the conservative nature of the commentary, like DKE, the race predictions tend to be fairly neutral, if slightly bearish for Republicans. Like the Crystal Ball, RRH will call all races before the election so that none are left in the tossup category. The presidential rankings have not been published but they do cover Senate, House, Gubernatorial and Row Officer (statewide elected officials, such as state Attorney General, Secretary of State etc.) races.
Media predictions - CNN | U.S. News | NPR | POLITICO

Polling Models

FiveThirtyEight - 538's runs 40,000 simulations of the election and uses that data to come up with a projected winner out of 100 sampled outcomes. It also breaks down the projection to show potential electoral college results, popular vote share, tipping point state likelihood, and it can even be broken down into state-level analytics.
Princeton Election Consortium - this is the model run by Dr. Sam Wang, a neuroscience professor at Princeton University. This model has run in the past two cycles as well, though Sam Wang famously said he'd eat a bug if Donald Trump won the election because his model predicted no path to victory for the eventual winner of the 2016 election. Also includes projections for Senate and House.
JHK Forecasts - the earliest model on the scene this cycle. Jack Kersting's model is one of the newer ones this year and also includes projections for Senate and House.
The Economist - this is the model run by G. Elliott Morris, who previously had a midterm election model under The Crosstab.
Niskanen Center - Rachel Bitecofer's projection, which only seems to update a couple times a cycle. Part of this has to do with Bitecofer's central argument that there are generally no swing voters, and electoral fundamentals drive the outcome of the election. This was put to the test in the 2018 midterms, where Bitecofer very early on predicted a Democratic pickup of 40-45 seats in the House, which fell about where the election ended up.
Lean Tossup - a foreign model from Canada. This model did relatively well in the 2019 Canadian election, but this appears to be the first time they've tried forecasting the US Presidential election. Also includes Senate and House projections.
Primary Model - Helmut Norpoth's model does not actually change with inputs anymore. The outcome it predicts, stated as a 91% chance for President Trump to win reelection, is premised entirely on the primary vote totals in the New Hampshire and South Carolina primaries from earlier this year. Despite being a bit of an outlier against other models, this one was among the only to forecast that then-candidate Donald Trump was a favorite to win election in 2016, and has been applied to correctly predict the winner of 5 of the past 6 presidential elections.

Prediction Markets

Whoever wishes to become a serious gambler and start winning money, or even dreams of making a living from betting, needs to analyse some historical data. A source in the Internet which is simply a gold mine is www.Football-Data.co.uk. Here you will finds fixture results and bookmaker odds going back to 1993/1994 (up to 18 years of information ... The data packs store the odds and timestamps of the most popular odds lines. Data available for the following lines: 1X2, Double Chance, Both team to Score, Total Goals, Asian Handicap, Correct Score. Seasons. The larger the range of historical data, then better for analyzing sporting events. Almost all data packages contain data from the ... Football Betting Data Our Data, Odds and Site Summary. At Football-Bet-Data we provide historical football stats, and upcoming soccer data for matches in over 65 leagues dating back to 1998. Our site has been live since 2006 and we have built up a good reputation for value for money product and excellent customer service. Historical Odds & Sports Betting Data. When it comes to sports betting analytics, historical odds data is power! With our Bet Labs Software, you can instantly analyze years of archived sports betting data, including line, spread and odds history. Create your own winning sports betting database system in minutes, not months. RealClearPolitics - 2016 U.S. Presidential Election Betting Odds

How to input match & H2H data - True Odds Detector League ...

A taste of the technical side of data driven decision making by downloading data from websites that are in the public domain. This example is for betting pur... bet365 Maximum Database Indatabet downloadable XLSB file for use with Excel or Access database. ★ Database contain bet365's and bet365 historical data. ★ Fil... This will show you how to export the Betting History data to be viewed with Excel or some other text editor. The file can also be emailed to someone. ... Historical Odds Database Sports Betting ... http://www.soccerwidow.com/betting-maths/true-odds-value-detector-league-games-h2h-history/ How to insert match data & H2H history into Soccerwidow's true od... Football Historical Betting Odds & Results Indatabet downloadable XLSB file for use with Excel or Access database. Leagues: data from 78 leagues Bookmakers: Pinnacle & bet365 Seasons: 2007/2008 ...

Historical Data / Bookmaker Odds - for 11 European ...

Any websites that have historical data of live in play betting odds? If not how would I go about recording this (besides obviously manually writing down the odds every minute or two)?

Historic Golf Data and Betting Odds

The Collective (Part 40)

5 Strategies in Quant Trading Algorithms

What it was like trading on Wall Street

Arbitrage

Positive expected value bets

Relative Pricing

Correlations

Mean reversions

Wall Street Week Ahead for the trading week beginning October 5th, 2020

Trump’s health and fiscal stimulus fight will steer the markets in the week ahead - (Source)

This past week saw the following moves in the S&P:

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Major Indices for this past week:

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Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

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Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

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S&P Sectors for the Past Week:

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Major Indices Pullback/Correction Levels as of Friday's close:

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Major Indices Rally Levels as of Friday's close:

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Most Anticipated Earnings Releases for this week:

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Here are the upcoming IPO's for this week:

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Friday's Stock Analyst Upgrades & Downgrades:

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Make Up Your [email protected]#$%&* Mind!

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Election Anxiety Weighs on October Market Performance

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What Have Democratic Sweeps Meant for the S&P 500?

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How Current Returns Stack Up to History

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Seasonals Are Back In Style Again

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STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending October 2nd, 2020

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STOCK MARKET VIDEO: ShadowTrader Video Weekly 10.4.20

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(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)

(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)

Monday 10.5.20 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())

Monday 10.5.20 After Market Close:

([CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())

Tuesday 10.6.20 Before Market Open:

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Tuesday 10.6.20 After Market Close:

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Wednesday 10.7.20 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 10.7.20 After Market Close:

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Thursday 10.8.20 Before Market Open:

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Thursday 10.8.20 After Market Close:

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Friday 10.9.20 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())

Friday 10.9.20 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())

Domino's Pizza, Inc. $433.78

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Paychex, Inc. $79.43

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Make Up Your [email protected]#$%^&* Mind!

Make Up Your [email protected]#$%^&* Mind!