How to use Volume Weighted Average Price ... - Forex Education

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
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Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

Overview of Algorithmic Trading Strategies

Strategies are a natural way to get the maximum benefit out of algorithmic Trading. Based on the duration of holding the investment, Algo Trading Strategies are classified as Long term and short-term strategies. Automated TradingTrading has been enhanced with specific rule-based decision making.
Long Term Strategies
  1. Pricing Strategies are more focused on the expected returns
  2. Mathematical model-based Strategies are developed purely based on mathematical calculations, models.
  3. Trend Based Strategies follow market trends. By using the statistics, patterns are studied, and further strategies are developed.
  4. Arbitrage strategies use algorithms to figure out price differences and trade according to opportunities for profit.
  5. VWAP (Volume Weighted Average Price) & strategies, break the large volume of stock into smaller and later issues them according to market conditions to earn more yield.
  6. Implementation shortfall strategy uses algorithms to target involvement in dealing when stock prices are high and vice versa.
Short-Term Strategies
Short term strategies are generally executed in Intraday Trading strategies, where assets are bought and sold on the same day. Here stocks are not purchased for investment purpose but to earn the profit by connecting with the stock market trend. Algo trading strategies are incorporated in Intraday Trading to reap more benefits. Following are the Intraday trading strategies using algorithmic TradingTrading:
  1. Reversal trading strategies use algorithms to find out the highest and lowest points of the day. Based on these points as the secure time, price and quantity start reversing; it gives alerts to either buy or sell the assets.
  2. Trend based strategies analyse the trends using Algorithms, and further strategy is developed.
  3. Bull flag trading strategy based on the highest peak and steady decrease in trend during the day. To get the target prices on the patterns of bull flag shape, algorithms are used. Based on these trends, ' strategies are developed.
  4. Pullback Trading Strategy develops the low-risk buying opportunity.
  5. Breakout trading strategy enables us to enter the market when prices change outside a specific range.
3 Efficient Intraday Trading Strategies Used in Algorithmic Trading
Algo trading is an automated practical approach to TradingTrading. Strategies make the trading process very fast and much more result-oriented. The trades can be executed to the point of specified price and volume in minimal time. It reduces the losses due to the time lag between the sale and purchase of securities.
When the algo trading is used with specific intraday trading strategies, it works amazingly well.
Here are a few back-tested strategies used by successful traders as a part of Algo trading. These strategies can undoubtedly lead to maximize profits with the correct execution.
1. Momentum and Trend Based Strategy:
It is the most commonly used and most straightforward strategy. There are no complex interpretations or predictions to be made. It is the momentum and trend-based strategy. You need to follow the trends, and the energy in the market and the trades will be executed accordingly. Trade will be based on technical indicators - the moving averages, the price level movements, channel breakouts, etc. If a set of conditions is fulfilled, then automated trading is generated.
2. Arbitrage Strategy:
When there is a difference in the cost of the securities on different stock exchanges, Arbitrage profits take place. The algorithm identifies the price difference immediately using the computers and executes a trade to enable buying on the low-priced exchange and sell on the high-priced exchange. Although the cost difference is not too much, here, we can compare the speed and accuracy of Algo trading and manual TradingTrading.
This strategy is mostly applicable to forex trading. Once the trade gets executed, arbitrage profits will be credited to the trader.
3. Weighted Average Price Strategy:
This is also one of the most popular and efficient strategies. The objective of this strategy is to quick-execute the order to the volume-weighted average price or the time-weighted average price. The orders are executed in small parts. The order is based at either volume-weighted average price or the time-weighted average price in specific opening price in defined time slots.
The algorithms are successful in releasing the orders in small parts with efficiency and accuracy in nanoseconds, which may not be possible by human traders.
To know more strategies, refer to our Algorithmic Trading Strategies - Part 1.
submitted by alphabot2020 to u/alphabot2020 [link] [comments]

3.3 How to implement strategies in M language

3.3 How to implement strategies in M language

Summary

In the previous article, we explained the premise of realizing the trading strategy from the aspects of the introduction of the M language , the basic grammar, the model execution method, and the model classification. In this article, we will continue the previous part, from the commonly used strategy modules and technologies. Indicators, step by step to help you achieve a viable intraday quantitative trading strategy.

Strategy Module


https://preview.redd.it/a4l7ofpuwxs41.png?width=1517&format=png&auto=webp&s=3f97ea5a7316edd434a47067d9b76c894577d01d

Stage Increase

Stage increase is calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. For example: Computing the latest 10 K-lines stage increases, can be written:
1234
CLOSE_0:=CLOSE; //get the current K-line's closing price, and save the results to variable CLOSE_0. CLOSE_10:=REF(CLOSE,10); //get the pervious 10 K-lines' closing price, and save the results to variable CLOSE_10 (CLOSE_0-CLOSE_10)/CLOSE_10*100;//calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. 

New high price

The new high price is calculated by whether the current K line is greater than N cycles' highest price. For example: calculating whether the current K line is greater than the latest 10 K-lines' highest price, can be written:
12
HHV_10:=HHV(HIGH,10); //Get the highest price of latest 10 K-lines, which includes the current K-line. HIGH>REF(HHV_10,1); //Judge whether the current K-line's highest price is greater than pervious K-lines' HHV_10 value. 

Price raise with massive trading volume increase

For example: If the current K line's closing price is 1.5 times of the closing price of the previous 10 K-lines, which means in 10 days, the price has risen 50%; and the trading volume also increased more than 5 times of the pervious 10 K-lines. can be written:
1234567
CLOSE_10:=REF(CLOSE,10); //get the 10th K-line closing price IS_CLOSE:=CLOSE/CLOSE_10>1.5; //Judging whether the current K Line closing price is 1.5 times greater than the value of CLOSE_10 VOL_MA_10:=MA(VOL,10); //get the latest 10 K-lines' average trading volume IS_VOL:=VOL>VOL_MA_10*5; //Judging whether the current K-line's trading volume is 5 times greater than the value of VOL_MA_10 IS_CLOSE AND IS_VOL; //Judging whether the condition of IS_CLOSE and IS_VOL are both true. 

Price narrow-shock market

Narrow-shock market means that the price is maintained within a certain range in the recent period. For example: If the highest price in 10 cycles minus the lowest price in 10 cycles, the result divided by the current K-line's closing price is less than 0.05. can be written:
1234
HHV_10:=HHV(CLOSE,10); //Get the highest price in 10 cycles(including current K-line) LLV_10:=LLV(CLOSE,10); //Get the lowest price in 10 cycles(including current K-line) (HHV_10-LLV_10)/CLOSE<0.05; //Judging whether the difference between HHV_10 and LLV_10 divided by current k-line's closing price is less than 0.05. 

Moving average indicates bull market

Moving Average indicates long and short direction, K line supported by or resisted by 5,10,20,30,60 moving average line, Moving average indicates bull market or bear market. can be written:
123456
MA_5:=MA(CLOSE,5); //get the moving average of 5 cycle closing price. MA_10:=MA(CLOSE,10);//get the moving average of 10 cycle closing price. MA_20:=MA(CLOSE,20);//get the moving average of 20 cycle closing price. MA_30:=MA(CLOSE,30);//get the moving average of 30 cycle closing price. MA_5>MA_10 AND MA_10>MA_20 AND MA_20>MA_30; //determine wether the MA_5 is greater than MA_10, and MA_10 is greater than MA_20, and MA_20 is greater than MA_30. 

Previous high price and its locations

To obtain the location of the previous high price and its location, you can use FMZ Quant API directly. can be written:
123
HHV_20:=HHV(HIGH,20); //get the highest price of 20 cycle(including current K line) HHVBARS_20:=HHVBARS(HIGH,20); //get the number of cycles from the highest price in 20 cycles to current K line HHV_60_40:REF(HHV_20,40); //get the highest price between 60 cycles and 40 cycles. 

Price gap jumping

The price gap is the case where the highest and lowest prices of the two K lines are not connected. It consists of two K lines, and the price gap is the reference price of the support and pressure points in the future price movement. When a price gap occurs, it can be assumed that an acceleration along the trend with original direction has begun. can be written:
12345678
HHV_1:=REF(H,1); //get the pervious K line's highest price LLV_1:=REF(L,1); //get the pervious K line's lowest price HH:=L>HHV_1; //judging wether the current K line's lowest price is greater than pervious K line's highest price (jump up) LL:=H1.001; //adding additional condition, the bigger of the price gap, the stronger the signal (jump up) LLL:=H/REF(L.1)<0.999; //adding additional condition, the bigger of the price gap, the stronger the signal (jump down) JUMP_UP:HH AND HHH; //judging the overall condition, whether it is a jump up JUMP_DOWN:LL AND LLL; //judging the overall condition, whether it is a jump down 

Common technical indicators

Moving average

https://preview.redd.it/np9qgn3ywxs41.png?width=811&format=png&auto=webp&s=39a401b5c9498a13d953678c0c452b3b8f6cbe2c
From a statistical point of view, the moving average is the arithmetic average of the daily price, which is a trending price trajectory. The moving average system is a common technical tool used by most analysts. From a technical point of view, it is a factor that affects the psychological price of technical analysts. The decision-making factor of thinking trading is a good reference tool for technical analysts. The FMZ Quant tool supports many different types of moving averages, as shown below:
1234567
MA_DEMO:MA(CLOSE,5); // get the moving average of 5 cycle MA_DEMO:EMA(CLOSE,15); // get the smooth moving average of 15 cycle MA_DEMO:EMA2(CLOSE,10);// get the linear weighted moving average of 10 cycle MA_DEMO:EMAWH(CLOSE,50); // get the exponentially weighted moving average of 50 cycle MA_DEMO:DMA(CLOSE,100); // get the dynamic moving average of 100 cycle MA_DEMO:SMA(CLOSE,10,3); // get the fixed weight of 3 moving average of closing price in 10 cycle MA_DEMO:ADMA(CLOSE,9,2,30); // get the fast-line 2 and slow-line 30 Kaufman moving average of closing price in 9 cycle. 

Bollinger Bands


https://preview.redd.it/mm0lkv00xxs41.png?width=1543&format=png&auto=webp&s=a87bdb4feecf97cbeef423b935860bfea85ffe6d
Bollinger bands is also based on the statistical principle. The middle rail is calculated according to the N-day moving average, and the upper and lower rails are calculated according to the standard deviation. When the BOLL channel starts changing from wide to narrow, which means the price will gradually returns to the mean. When the BOLL channel is changing from narrow to wide, it means that the market will start to change. If the price is up cross the upper rail, it means that the buying power is enhanced. If the price down cross the lower rail, it indicates that the selling power is enhanced.
Among all the technical indicators, Bollinger Bands calculation method is one of the most complicated, which introduces the concept of standard deviation in statistics, involving the middle trajectory ( MB ), the upper trajectory ( UP ) and the lower trajectory ( DN ). luckily, you don't have to know the calculation details, you can use it directly on FMZ Quant platform as follows:
1234
MID:MA(CLOSE,100); //calculating moving average of 100 cycle, call it Bollinger Bands middle trajectory TMP2:=STD(CLOSE,100); //calculating standard deviation of closing price of 100 cycle. TOP:MID+2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it upper trajectory BOTTOM:MID-2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it lower trajectory 

MACD Indicator


https://preview.redd.it/9p3k7y42xxs41.png?width=630&format=png&auto=webp&s=b1b8078325fc142c1563a1cf1cc0f222a13e0bde
The MACD indicator is a double smoothing operation using fast (short-term) and slow (long-term) moving averages and their aggregation and separation. The MACD developed according to the principle of moving averages removes the defect that the moving average frequently emits false signals, and also retains the effect of the other good aspect. Therefore, the MACD indicator has the trend and stability of the moving average. It was used to study the timing of buying and selling stocks and predicts stock price change. You can use it as follows:

DIFF:EMA(CLOSE,10)-EMA(CLOSE,50); //First calculating the difference between short-term moving average and long-term moving average. DEA:EMA(DIFF,10); //Then calculating average of the difference. 
The above is the commonly used strategy module in the development of quantitative trading strategies. In addition, there are far more than that. Through the above module examples, you can also implement several trading modules that you use most frequently in subjective trading. The methods are the same. Next, we began to write a viable intraday trading strategy.

Strategy Writing

In the Forex spot market, there is a wellknown strategy called HANS123. Its logic are basically judging wether the price breaks through the highest or lowest price of the number of K lines after the market opening

Strategy logic

  • Ready to enter the market after 30 minutes of opening;
  • Upper rail = 30 minutes high after opening ;
  • Lower rail = 30 minutes low after opening ;
  • When the price breaks above the upper limit, buy and open the position;
  • When the price falls below the lower rail, the seller opens the position.
  • Intraday trading strategy, closing before closing;

Strategy code

12345678910111213
// Data Calculation Q:=BARSLAST(DATA<>REF(DATA,1))+1; //Calculating the number of period from the first K line of the current trading day to current k line, and assign the results to N HH:=VALUEWHEN(TIME=0930,HHV(H,Q)); //when time is 9:30, get the highest price of N cycles, and assign the results to HH LL:=VALUEWHEN(TIME=0930,LLV(L,Q)); //When time is 9:30, get the lowest price of N cycles, and assign the results to LL //Placing Orders TIME>0930 AND TIME<1445 AND C>HH,BK; //If the time is greater than 9:30 and lesser than 14:45, and the closing price is greater than HH, opening long position. TIME>0930 AND TIME<1445 AND C=1445,CLOSEOUT; //If the time is greater or equal to 14:45, close all position. //Filtering the signals AUTOFILTER; //opening the filtering the signals mechanism 

To sum up

Above we have learned the concept of the strategy module. Through several commonly used strategy module cases, we had a general idea of the FMZ Quant programming tools, it can be said that learning to write strategy modules and improve programming logic thinking is a key step in advanced quantitative trading. Finally, we used the FMZ Quant tool to implement the trading strategy according a classical Forex trading strategy.

Next section notice

Maybe there are still some confusion for some people, mainly because of the coding part. Don't worry, we have already thought of that for you. On the FMZ Quant platform, there is another even easier programming tool for beginners. It is the visual programming, let's learn it soon!
submitted by FmzQuant to CryptoCurrencyTrading [link] [comments]

Wall Street Week Ahead for the trading week beginning July 22nd, 2019

Good morning and happy Saturday to all of you here on wallstreetbets. I hope everyone on this subreddit 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 July 22nd, 2019.

Week ahead: Earnings, GDP expected to show sluggish growth as investors await rate cut - (Source)

Sluggish economic and earnings growth will be a theme in markets in the week ahead, as investors await a Fed interest rate cut at the end of the month.
More than a quarter of the S&P 500 companies report earnings in the coming week, the second big week of the second quarter reporting season. FAANG names, like Alphabet and Amazon, and blue chips from McDonald’s to Boeingand United Technologies are among the more than 130 companies reporting.
There is also some key economic data, including Friday’s second quarter GDP, which should show a slowing to 1.8% from the first quarter’s 3.1% pace, according to Refinitiv. On Thursday, durable goods are reported and will include an update on businesses investment. There are also existing home sales Tuesday, new home sales Wednesday and advance economic indicators Thursday.
But there will be no Fed speakers, after a parade of central bank officials in the past week, including Fed Chair Jerome Powell. The most impactful comments, however, came Thursday from New York Fed President John Williams, who set off a debate about how much the Fed could cut rates at its July 30-31 meeting — 25 or 50 basis points.
Even as the New York Fed later said Williams comments were not about current policy, market pros took heed of his words about how central bankers should “act quickly.”
Fed dominates Fed officials do not speak publicly in the days ahead of policy meetings, but market pros will find plenty to debate. Fed funds futures were predicting a 43% chance of a 50 basis point cut in July, after shooting as high as 70% Thursday afternoon.
“For sure, the Fed is going to dominate for next week. I think we’ll get at least a 25 basis point cut. I’m thinking we’re not going to get 50 basis point cut...The Fed has been burned when it’s been bold,” said Tony Roth, chief investment officer at Wilmington Trust.
Roth said he believes the market is already pricing in a quarter-point cut, and he does not see the Fed’s rate cut as much of a longer-term catalyst for stocks. If it trims by a half percentage point, he expects just a short-term pop.
Economists believe the Fed will cut interest rates even though recent data has improved. That’s in part because Powell has stressed the Fed is focused on the global economic slowdown, trade wars and low inflation, and that it will do what it takes to keep the economy expanding.
“The only real catalyst that would really help the market would be if there was a trade deal with China,” Roth said. “I think the likelihood of that is less than > 10%. We’re very pessimistic on the possibility of a real deal with China prior to the [2020 presidential] election.”
So, in the void ahead of the Fed’s meeting, the market will be watching earnings. As earnings rolled out this past week, stocks took a rest from their record-setting streak, as some companies lowered forecasts and most beat earnings and revenue estimates.
As of Friday morning, 77% of the roughly 80 companies reporting had beaten earnings estimates, and 65% topped revenue forecasts, according to Refinitiv. Based on actual reports and forecasts, earnings per share for the S&P companies are expected to be up 1% in the second quarter. That is up from expectations that the profit growth would be slightly negative this quarter.
“If you look at the numbers, we’re above the averages for top and bottom line beats, but at the same time when you look at revisions, every day we’re getting revisions for third and fourth quarter, and they’re coming down.There’s a real worry of an earnings recession, when you get out into the third and fourth quarter and out to next year,” Roth said.
Roth said he’s currently neutral on risk assets, and he sees a slowdown brewing in the smallest U.S. companies that could spread up the food chain.
“We do see those fundamental cracks in the economy in small business and the small business labor market, and on top of that you have these big macro risks out there,” such as trade and the upcoming election, Roth said.
Slower economy As earnings growth was muted in the second quarter, so was the pace of economic gains. If growth comes in as expected, it would be the first quarter where growth was under 2% since the first quarter of 2017. Economists are watching to see how consumer spending fared in the quarter, after a recent pickup and also whether business inventories are declining.
“The data we need is not Q2. What’s at risk is the growth and magnitude of the Fed rate cut. I don’t think Q2 is going to have much impact on the Fed’s thinking,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “It’s really how Q3 is progressing. It seems to me the economy softened in April and May and picked up in June with jobs data, retail sales and manufacturing sector.”
Chandler said investors will also be focused on the European Central Bank, which some economists believe could cut its overnight deposit rate to negative 0.5% from negative 0.4% currently when it meets Thursday. Chandler said odds are about 50% for the rate cut, which many also expect in September.
“While we’re waiting for the Fed to figure out whether it’s 25 or 50 basis points, and we’re waiting for the ECB to get all its forms sorted out ... the emerging markets are pushing ahead,” said Chandler, noting Russia and Turkey could cut rates in the next several days, after similar moves in the past week by South Africa, South Korea and Indonesia.
“It just makes the story more global. You’re seeing the trade numbers from China, Japan, Singapore and South Korea weaken. You’re seeing exports form China suffer. Exports from all of Asia are suffering,” he said. “The big surprise for China and Japan has also been on the import side. The declines in their imports is really someone else’s [drop in] exports.”
Rate cuts and currency wars Dollar strength has been a consequence of the trade war, and Fed action could help turn it around.
“If the Fed fails to move, you’re going to end up with an increasingly stronger dollar,” which impacts corporate earnings, Roth said.
“The dollar is quite strong and is increasingly going to be a headwind for U.S. companies. It hasn’t appreciated that much in 12 months, but if we see a divergence in monetary policy between the U.S. and the rest of the world, you would see a carry trade develop where people would want to buy assets in the U.S.,” he said.
The dollar index was slightly higher on the week, but Wall Street has been focused on President Donald Trump’s negative comments on the currency’s strength. As Trump has criticized the Fed, he also complains that other central banks manipulate their currencies to give them an edge in trade. Trump has said the Fed should already be cutting rates, something it hasn’t done since December 2008.
A number of Wall Street strategists have said they now believe it is possible that the U.S. government could intervene to weaken the dollar, but that would be unlikely.

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!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

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 next month:

(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!)

Lagging Small-caps: Seasonal and Economic Factors Weigh

Small-caps measured by the performance of the Russell 2000 have been lagging since mid-March with the gap in performance widening in June and continuing into July. At yesterday’s close the Russell 2000 was up 15.35% year-to-date compared to a gain of 19.87% for the Russell 1000. Based upon historical trends this is not unusual for this time of the year nor during times when U.S. economic data is mixed.
In the following chart the one-year seasonal pattern of the Russell 2000/Russell 1000 has been plotted (solid black line with grey fill) along with 2019 year-to-date (blue line). This chart is similar to the chart found on page 110 of the 2019 Stock Trader’s Almanac. When the lines are rising small-caps are outperforming, when the lines are falling small-caps are lagging. Small-caps exhibited typical seasonal strength during the first quarter but have been fading ever since. In some years, small-cap strength can last until mid-June however, that is not the case this year. Going forward, small-cap underperformance is likely to persist until early in the fourth quarter with possible a hint of strength at the end of August.
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Robust Summer Rallies Trim Fall Pullbacks

It’s usually about this time of the year, when trading volumes begin to slump and markets meander that we begin to hear talk of the infamous “Summer Rally” featured on page 74 of the Stock Trader’s Almanac 2019. The “Summer Rally” is usually the weakest seasonal rally of them all.
We looked at the current Summer Rally and found it to be above average already, up 10.2% from the Spring low on May 31, and that does portend well for the Summer and Fall Corrections. We lined up the Summer Rallies ranked from weakest to strongest since 1964. Over the past 55 years prior to this year DJIA has rallied and average of 9.1% from its May/June low until its Q3 high. The Fall Rally averages 10.9% and the Summer and Fall Corrections average a loss of just under 9% for a net average gain of a few percentage points over the summer and fall.
As shown in the table below, when the Summer Rally is greater than or equal to the 55-year 9.1% average, the summer and fall correction tend to be bit milder, -6.2% and -8.2%, respectively. Summer Rally gains beyond 12.5% historically had the smallest summer and fall corrections. One prominent exception being 1987.
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Earnings (and Guidance) Likely to Make or Break the Rally

Once again today, DJIA, S&P 500 and NASDAQ closed at new all-time highs. With today’s modest gains, DJIA is up 17.3% year-to-date. S&P 500 is even better at 20.2% while NASDAQ is still best at 24.5%. Compared to historical average performance in pre-election years at this time of the year, DJIA and S&P 500 are comfortably above average. NASDAQ’s impressive 24.5% gain is just average (since 1971). NASDAQ’s Midyear Rally delivered again, but officially ended last Friday. The seasonal pattern charts, above and below, along with July’s typical performance over the last 21 years suggest further gains during the balance of July and the third quarter could be limited. For the market to make meaningful gains in the near-term earnings will need to decent and forward guidance will also need to be firm.
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"We Don't Need Your Stinking Data"

Yesterday was another one of those days that makes you scratch your head. In a relatively busy day for economic data, Initial Jobless Claims came in within 25K of a 50-year low, and the Philly Fed Manufacturing report saw its largest m/m increase in a decade. That follows other data last week where Retail Sales were very strong and CPI and PPI both came in ahead of consensus forecasts. The trend of better than expected data since the June employment report on July 5th is reflected in recent moves of the Citi Economic Surprise Index which has rallied from -68.3 up to -41.5. Granted, it’s still negative, but what was looking like a real dismal backdrop for the economy just three weeks ago seems to be showing signs of improvement.
(CLICK HERE FOR THE CHART!)
On top of the economic data, two notable interviews from FOMC officials Williams from New York and Vice Chair Clarida moved markets. Given the strong tone of economic data, one would expect both officials to try and tone down rising market expectations regarding any aggressive policy moves at the July meeting. Well, markets don’t always make sense.
In their respective interviews, both Williams and Clarida not only didn’t tone down expectations, but they added fuel to the fire. Williams noted that “it pays to act quickly to lower rates" and "vaccinate” the economy "against further ills." Clarida was even more direct when he said that “Research shows you act preemptively when you can.” In other words, the data-dependent Fed is casting the data aside and ready to move anyway. In his interview on Fox Business, Clarida almost got a chuckle when asked whether there was any chance the Fed wouldn’t cut rates in July.
The dovish turn from the Fed was immediately reflected in market expectations for rate policy at the July meeting. Back in June, market expectations for a 50 basis points (bps) cut at the next meeting peaked out at under 50%. Then, in the days following the June employment report, expectations dropped all the way down to 3%. In the last ten days, though, the trend has completely reversed, and as of yesterday’s close topped out at 71% versus just a 29% chance for a 25 bps cut. Probabilities for a 50 bps cut came in a bit overnight but are still at about 50/50. Yesterday alone, though, expectations for a 25 bps cut and a 50 bps cut more than completely reversed from the prior day, and remember, that’s after what was a good day of economic data! Can you imagine what expectations would be like if the data was actually bad?
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US Beats World When It Comes to Stocks

The Bloomberg World index is a cap-weighted index made up of nearly 5,000 stocks from around the world (including US stocks). While the S&P 500 has been hitting new all-time highs over the last week, the Bloomberg World index remains 7% below highs that it last made back in January 2018.
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Below is a chart showing the ratio of the S&P 500 to the Bloomberg World index since the World index's inception back in August 2003. While the World index outperformed the US for five years in the mid-2000s, the US has been outperforming since the end of 2007, which includes both the Financial Crisis and the bull market that has been in place since the 2009 lows.
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Along with the relative strength chart between the two indices above, below we show the price change of the S&P 500 versus the Bloomberg World index since August 2003. Through today, the S&P was up 203% versus a gain of 142% for the Bloomberg World index.
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Since the November 2016 election, the S&P 500 is up 40% versus a gain of 26% for the Bloomberg World index. Notably, the World index kept up with the S&P through early 2018, but weakness for the World index in mid-2018 and a failure to bounce back as much as the US this year has left the World index well behind.
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Best Performing Stocks Over the Last 12 Months

The S&P 500 is up over 20% YTD, but over the last 12 months, it is up just under 10% on a total return basis. And within the S&P 1500, there are only 44 stocks that are up more than 50% on a total return basis over the last 12 months. These 44 stocks are listed below.
Innovative Industrials (IIPR) -- a cannabis REIT -- has been the best performing stock in the S&P 1500 over the last year with a total return of 302%. In second place is eHealth (EHTH) with a gain of 269%, followed by Avon Products (AVP) at +174.8% and Coca-Cola Bottling (COKE) at +128.58%. Coca-Cola Bottling is probably one of the last names you would have guessed as a top five performer over the last year! Other notables on the list of biggest winners include Advanced Micro (AMD), LendingTree (TREE), Starbucks (SBUX), AutoZone (AZO), Chipotle (CMG), Hershey (HSY), and Procter & Gamble (PG).
Some names that aren't on the list that you may have expected to see? AMZN, NFLX, MSFT? Nope. None of the mega-cap Tech companies are on the list of biggest winners due to serious weakness from this group in Q4 2018.
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2% Days Few and Far Between

Although the last two trading days have seen exceptionally narrow daily ranges, today we wanted to take a quick look at the S&P 500's frequency of 2% daily moves (either up or down) in the post-WWII period. The chart below breaks out the frequency of 2% days by year, and years with more than 25 one-day moves of 2% are notated accordingly.
Overall, there have been an average of 11 daily 2% moves in a given year. After five straight years from 2007 to 2011 where we saw an above-average number of 2% days, the last seven years have only seen one year with an above-average number of occurrences (2018, 21). Remember, in 2017 there wasn't one single trading day that saw the S&P move up or down 2%!
So far this year, there have only been four 2% days, but with the most volatile part of the year on tap, we are likely to see that number increase in the months ahead. Don't expect the relative calm that we have seen in the last few trading days to last forever. Volatility is unpredictable and usually comes up and surprises you when you least expect it!
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STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending July 19th, 2019

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET UP!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 07.21.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $FB
  • $AMZN
  • $TSLA
  • $BA
  • $T
  • $SNAP
  • $PIXY
  • $HAL
  • $TWTR
  • $KO
  • $F
  • $V
  • $LMT
  • $GOOGL
  • $INTC
  • $CAT
  • $PYPL
  • $BIIB
  • $UTX
  • $IRBT
  • $XLNX
  • $UPS
  • $ABBV
  • $CNC
  • $NOK
  • $CMG
  • $MMM
  • $RPM
  • $SBUX
  • $JBLU
  • $BMY
  • $GNC
  • $MCD
  • $CDNS
  • $CADE
  • $NOW
  • $AMTD
  • $HAS
  • $HOG
  • $ANTM
  • $WM
  • $CMCSA
  • $FCX
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
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 7.22.19 Before Market Open:

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

Monday 7.22.19 After Market Close:

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

Tuesday 7.23.19 Before Market Open:

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

Tuesday 7.23.19 After Market Close:

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

Wednesday 7.24.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Wednesday 7.24.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Friday 7.26.19 Before Market Open:

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

Friday 7.26.19 After Market Close:

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

Amazon.com, Inc. $1,964.52

Amazon.com, Inc. (AMZN) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, July 25, 2019. The consensus earnings estimate is $5.29 per share on revenue of $62.51 billion and the Earnings Whisper ® number is $5.70 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.34% with revenue increasing by 18.20%. Short interest has increased by 14.0% since the company's last earnings release while the stock has drifted higher by 1.8% from its open following the earnings release to be 13.0% above its 200 day moving average of $1,737.93. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, July 11, 2019 there was some notable buying of 3,494 contracts of the $2,000.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 4.4% move on earnings and the stock has averaged a 4.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Facebook Inc. $198.36

Facebook Inc. (FB) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.90 per share on revenue of $16.45 billion and the Earnings Whisper ® number is $2.01 per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.20% with revenue increasing by 24.33%. Short interest has increased by 21.7% since the company's last earnings release while the stock has drifted higher by 0.7% from its open following the earnings release to be 20.8% above its 200 day moving average of $164.17. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, July 17, 2019 there was some notable buying of 16,697 contracts of the $290.00 call expiring on Friday, September 20, 2019. Option traders are pricing in a 6.5% move on earnings and the stock has averaged a 8.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Tesla, Inc. $258.18

Tesla, Inc. (TSLA) is confirmed to report earnings at approximately 5:15 PM ET on Wednesday, July 24, 2019. The consensus estimate is for a loss of $0.52 per share on revenue of $6.38 billion and the Earnings Whisper ® number is ($0.44) per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 84.80% with revenue increasing by 59.41%. Short interest has increased by 26.5% since the company's last earnings release while the stock has drifted higher by 1.2% from its open following the earnings release to be 8.1% below its 200 day moving average of $280.96. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 30,445 contracts of the $50.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 7.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Boeing Co. $377.36

Boeing Co. (BA) is confirmed to report earnings at approximately 7:30 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.89 per share on revenue of $20.27 billion and the Earnings Whisper ® number is $1.91 per share. Investor sentiment going into the company's earnings release has 17% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 43.24% with revenue decreasing by 16.44%. Short interest has increased by 11.2% since the company's last earnings release while the stock has drifted lower by 0.1% from its open following the earnings release to be 4.0% above its 200 day moving average of $362.82. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 6,176 contracts of the $325.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 3.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

AT&T Corp. $32.79

AT&T Corp. (T) is confirmed to report earnings at approximately 6:50 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $0.89 per share on revenue of $45.02 billion and the Earnings Whisper ® number is $0.90 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 2.20% with revenue increasing by 15.48%. Short interest has increased by 16.4% since the company's last earnings release while the stock has drifted higher by 5.5% from its open following the earnings release to be 4.5% above its 200 day moving average of $31.37. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 144,398 contracts of the $28.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 4.1% move on earnings and the stock has averaged a 4.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Snap Inc. $14.02

Snap Inc. (SNAP) is confirmed to report earnings at approximately 4:10 PM ET on Tuesday, July 23, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $358.48 million and the Earnings Whisper ® number is ($0.08) per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat The company's guidance was for revenue of $335.00 million to $360.00 million. Consensus estimates are for year-over-year earnings growth of 9.09% with revenue increasing by 36.69%. Short interest has decreased by 3.8% since the company's last earnings release while the stock has drifted higher by 13.5% from its open following the earnings release to be 36.9% above its 200 day moving average of $10.24. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, July 5, 2019 there was some notable buying of 7,449 contracts of the $19.00 call expiring on Friday, July 26, 2019. Option traders are pricing in a 13.7% move on earnings and the stock has averaged a 19.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ShiftPixy, Inc. $0.63

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, July 22, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $14.39 million. Investor sentiment going into the company's earnings release has 44% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 33.33% with revenue increasing by 53.48%. Short interest has decreased by 8.2% since the company's last earnings release while the stock has drifted lower by 50.9% from its open following the earnings release to be 63.8% below its 200 day moving average of $1.74. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 16.9% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Halliburton Company $21.75

Halliburton Company (HAL) is confirmed to report earnings at approximately 6:45 AM ET on Monday, July 22, 2019. The consensus earnings estimate is $0.30 per share on revenue of $5.97 billion and the Earnings Whisper ® number is $0.29 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 48.28% with revenue decreasing by 2.88%. Short interest has increased by 39.2% since the company's last earnings release while the stock has drifted lower by 31.6% from its open following the earnings release to be 25.7% below its 200 day moving average of $29.27. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 9,264 contracts of the $20.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 3.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Twitter, Inc. $36.77

Twitter, Inc. (TWTR) is confirmed to report earnings at approximately 7:00 AM ET on Friday, July 26, 2019. The consensus earnings estimate is $0.19 per share on revenue of $828.49 million and the Earnings Whisper ® number is $0.24 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat The company's guidance was for revenue of $770.00 million to $830.00 million. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 16.60%. Short interest has increased by 9.0% since the company's last earnings release while the stock has drifted lower by 0.4% from its open following the earnings release to be 10.1% above its 200 day moving average of $33.39. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, July 15, 2019 there was some notable buying of 7,151 contracts of the $60.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.4% move on earnings and the stock has averaged a 12.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Visa Inc $179.24

Visa Inc (V) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, July 23, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.70 billion and the Earnings Whisper ® number is $1.37 per share. Investor sentiment going into the company's earnings release has 79% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 10.83% with revenue increasing by 8.78%. Short interest has decreased by 6.9% since the company's last earnings release while the stock has drifted higher by 11.7% from its open following the earnings release to be 19.5% above its 200 day moving average of $150.03. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 4,839 contracts of the $165.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
I hope you all have a fantastic weekend and a great trading week ahead wallstreetbets!
submitted by bigbear0083 to wallstreetbets [link] [comments]

My First Year of Trading

So here it is, three more days and October begins, which marks one year of trading for me. I figured I would contribute to the forum and share some of my experience, a little about me, and what I've learned so far. Whoever wants to listen, that's great. This might get long so buckle up..
Three years ago, I was visiting Toronto. I don't get out much, but my roommate at the time travels there occasionally. He asked everyone at our place if we wanted to come along for a weekend. My roommate has an uncle that lives there and we didn't have to worry about a hotel because his uncle owns a small house that's unlived in which we could stay at. I was the only one to go with. Anyways, we walk around the city, seeing the sights and whatnot.
My friend says to me "where next?"
"I don't know, you're the tour guide"
"We can go check out Bay Street"
"what's 'Bay Street?'"
"It's like the Canadian Wall street! If you haven't seen it you gotta see it!"
Walking along Bay, I admire all the nice buildings and architecture, everything seems larger than life to me. I love things like that. The huge granite facades with intricate designs and towering pillars to make you think, How the fuck did they make that? My attention pivots to a man walking on the sidewalk opposite us. His gait stood out among everyone, he walked with such a purpose.. He laughed into the cell phone to his ear. In the elbow-shoving city environment, he moved with a stride that exuded a power which not only commanded respect, but assumed it. I bet HE can get a text back, hell he's probably got girls waiting on him. This dude was dressed to kill, a navy suit that you could just tell from across the street was way out of my budget, it was a nice fucking suit. I want that. His life, across the street, seemed a world a way from my own. I've worn a suit maybe twice in my life. For my first communion, it was too big for me, I was eleven or whatever so who gives a shit, right? I'm positive I looked ridiculous. The other time? I can't remember.
I want that. I want the suit. I want the wealth, the independence. I want the respect and power, and I don't give a shit what anyone thinks about it.
Cue self doubt.
Well, He's probably some rich banker's son. That's a world you're born into. I don't know shit about it. \sigh* keep walking..*

A year later, I'm visiting my parents at their house, they live an hour away from my place. My dad is back from Tennessee, his engineering job was laying people off and he got canned... Or he saw the end was near and just left... I don't know, hard to pay attention to the guy honestly because he kind of just drones on and on. ("Wait, so your mom lives in Michigan, but your dad moved to Tennessee... for a job?" Yea man, I don't fucking know, not going to touch on that one.) The whole project was a shit show that was doomed to never get done, the way he tells it. And he's obviously jaded from multiple similar experiences at other life-sucking engineer jobs. My mom is a retired nurse practitioner who no longer works because of her illness. I ask him what he's doing for work now and he tells me he trades stocks from home. I didn't even know you could do that. I didn't know "trading" was a thing. I thought you just invest and hope for the best.
"Oh that's cool, how much money do you need to do that?"
"Ehh, most say you need at least $25,000 as a minimum"
"Oh... guess I can't do that..."
Six months later, I get a call and it's my dad. We talk a little about whatever. Off topic, he starts asking if I'm happy doing what I'm doing (I was a painter, commercial and residential) I tell him yes but it's kind of a pain in the ass and I don't see it as a long term thing. Then he gets around to asking if I'd like to come work with him. He basically pitches it to me. I'm not one to be sold on something, I'm always skeptical. So I ask all the questions that any rational person would ask and he just swats them away with reassuring phrases. He was real confident about it. But basically he says for this to work, I have to quit my job and move back home so he can teach me how to trade and be by my side so I don't do anything stupid. "My Name , you can make so much money." I say that I can't raise the $25,000 because I'm not far above just living paycheck to paycheck. "I can help you out with that." Wow, okay, well... let me think about it.
My "maybe" very soon turned into a "definitely." So over the next six months, I continue to work my day job painting, and I try to save up what I could for the transition (it wasn't a whole lot, I sucked at saving. I was great at spending though!). My dad gives me a book on day trading (which I will mention later) and I teach myself what I can about the stock market using Investopedia. Also in the meantime, my dad sends me encouraging emails. He tells me to think of an annual income I would like to make as a trader, and used "more than $100,000 but less than a million" as a guideline. He tells me about stocks that he traded that day or just ones that moved and describes the basic price action and the prices to buy and sell at. Basically saying "if you bought X amount of shares here and sold it at X price here, you could make a quick 500 bucks!" I then use a trading sim to trade those symbols and try to emulate what he says. Piece of cake. ;)
Wow, that's way more than what I make in a day.
He tells me not to tell anyone about my trading because most people just think it's gambling. "Don't tell your Mom either." He says most people who try this fail because they don't know how to stop out and take a loss. He talks about how every day he was in a popular chatroom, some noob would say something like, "Hey guys, I bought at X price (high of day or thereabout), my account is down 80% .. uhh I'm waiting for it to come back to my entry price.. what do I do??"
Well shit, I'm not that fucking dumb. If that's all it takes to make it is to buy low, sell high, and always respect a stop then I'll be fantastic.
By the end of September, I was very determined. I had been looking forward everyday to quitting my painting job because while it used to be something I loved, it was just sucking the life out of me at this point. Especially working commercial, you just get worked like a dog. I wasn't living up to my potential with that job and I felt awful for it every minute of every day. I knew that I needed a job where I could use my brain instead of slaving my body to fulfill someone else's dream. "Someone's gotta put gas in the boss's boat" That's a line my buddy once said that he probably doesn't know sticks with me to this day.
It ain't me.
So now it was October 2018, and I'm back living with Mom n' Pops. I was so determined that on my last day of work I gave away all of my painting tools to my buddy like, "here, I don't need this shit." Moving out of my rental was easy because I don't own much, 'can't take it with ya.' Excited for the future I now spend my days bundled up in winter wear in the cold air of our hoarder-like basement with a space heater at my feet. My laptop connected to a TV monitor, I'm looking at stocks next to my dad and his screens in his cluttered corner. Our Trading Dungeon. I don't trade any money, (I wasn't aware of any real-time sim programs) I just watch and learn from my dad. Now you've got to keep in mind, and look at a chart of the S&P, this is right at the beginning of Oct '18, I came in right at the market top. Right at the start of the shit-show. For the next three or four weeks, I watch my dad pretty much scratch on every trade, taking small loss after small loss, and cursing under his breath at the screen.
Click.
"dammit."
Click.
"shit."
Click. Click.
"you fuck."
Click.
This gets really fucking annoying as time goes on, for weeks, and I get this attitude like ugh, just let me do it. I'll make us some fucking money. So I convince him to let me start trading live. I didn't know anything about brokers so I set up an account using his broker, which was Fidelity. It was a pain and I had to jump through a lot of hoops to be able to day trade with this broker. I actually had to make a joint account with my dad as I couldn't get approved for margin because my credit score is shit (never owned a credit card) and my net worth, not much. Anyways, they straight up discourage day trading and I get all kinds of warning messages with big red letters that made me shit myself like oooaaahhh what the fuck did I do now. Did I forget to close a position?? Did I fat finger an order? Am I now in debt for thousands of dollars to Fidelity?? They're going to come after me like they came after Madoff. Even after you are approved for PDT you still get these warning messages in your account. Some would say if I didn't comply with "whatever rule" they'd even suspend my account for 60 days. It was ridiculous, hard to describe because it doesn't make sense, and it took the support guy on the phone a good 20 minutes to explain it to me. Basically I got the answer "yea it's all good, you did nothing wrong. As long as you have the cash in your account to cover whatever the trade balance was" So I just kept getting these warnings that I had to ignore everyday. I hate Fidelity.
My fist day trading, I made a few so-so trades and then I got impatient. I saw YECO breaking out and I chased, soon realized I chased, so I got out. -$500. Shit, I have to make that back, I don't want my dad to see this. Got back in. Shit. -$400. So my first day trading, I lost $900. My dumbass was using market orders so that sure didn't help. I reeled the risk back and traded more proper position size for a while, but the commissions for a round trip are $10, so taking six trades per day, I'm losing $60 at a minimum on top of my losing trades. Quickly I realized I didn't know what the hell I was doing. What about my dad? Does HE know? One day, in the trading dungeon, I was frustrated with the experience I'd been having and just feeling lost overall. I asked him.
"So, are you consistently profitable?"
"mmm... I do alright."
"Yea but like, are you consistently profitable over time?"
.........................
"I do alright."
Silence.
"Do you know any consistently profitable traders?"
"Well the one who wrote that book I gave you, Tina Turner.. umm and there's Ross Cameron"
......................
"So you don't know any consistently profitable traders, personally.. People who are not trying to sell you something?"
"no."
...................
Holy fucking shit, what did this idiot get me into. He can't even say it to my face and admit it.
This entire life decision, quitting my job, leaving my rental, moving from my city to back home, giving shit away, it all relied on that. I was supposed to be an apprentice to a consistently profitable day trader who trades for a living. It was so assumed, that I never even thought to ask! Why would you tell your son to quit his job for something that you yourself cannot do? Is this all a scam? Did my dad get sold a DREAM? Did I buy into some kind of ponzi scheme? How many of those winning trades he showed me did he actually take? Are there ANY consistently profitable DAY TRADERS who TRADE FOR A LIVING? Why do 90% fail? Is it because the other 10% are scamming the rest in some way? Completely lost, I just had no clue what was what. If I was going to succeed at this, if it was even possible to succeed at this, it was entirely up to me. I had to figure it out. I still remember the feeling like an overwhelming, crushing weight on me as it all sunk in. This is going to be a big deal.. I'm not the type to give up though. In that moment, I said to myself,
I'm going to fucking win at this. I don't know if this is possible, but I'm going to find out. I cannot say with certainty that I will succeed, but no matter what, I will not give up. I'm going to give all of myself to this. I will find the truth.
It was a deep moment for me. I don't like getting on my soapbox, but when I said those things, I meant it. I really, really meant it. I still do, and I still will.
Now it might seem like I'm being hard on my dad. He has done a lot for me and I am very grateful for that. We're sarcastic as hell to each other, I love the bastard. Hell, I wouldn't have the opportunity to trade at all if not for him. But maybe you can also understand how overwhelmed I felt at that time. Not on purpose, of course he means well. But I am not a trusting person at all and I was willing to put trust into him after all the convincing and was very disappointed when I witnessed the reality of the situation. I would have structured this transition to trading differently, you don't just quit your job and start trading. Nobody was there to tell me that! I was told quite the opposite. I'm glad it happened anyway, so fuck it. I heard Kevin O'Leary once say,
"If I knew in the beginning how difficult starting a business was, I don't know that I ever would've started."
This applies very much to my experience.
So what did I do? Well like everyone I read and read and Googled and Youtube'd my ass off. I sure as hell didn't pay for a course because I didn't have the money and I'm like 99% sure I would be disappointed by whatever they were teaching as pretty much everything can be found online or in books for cheap or free. Also I discovered Thinkorswim and I used that to sim trade in real-time for three months. This is way the hell different than going on a sim at 5x speed and just clicking a few buy and sell buttons. Lol, useless. When you sim trade in real-time you're forced to have a routine, and you're forced to experience missing trades with no chance to rewind or skip the boring parts. That's a step up because you're "in it". I also traded real money too, made some, lost more than I made. went back to sim. Traded live again, made some but lost more, fell back to PDT. Dad fronted me more cash. This has happened a few times. He's dug me out of some holes because he believes in me. I'm fortunate.
Oh yeah, about that book my dad gave me. It's called A Beginner's Guide to Day Trading Online by Toni Turner. This book... is shit. This was supposed to be my framework for how to trade and I swear it's like literally nothing in this book fucking works lol. I could tell this pretty early on, intuitively, just by looking at charts. It's basically a buy-the-breakout type strategy, if you want to call it a strategy. No real methodology to anything just vague crap and showing you cherry-picked charts with entries that are way too late. With experience in the markets you will eventually come to find that MOST BREAKOUTS FAIL. It talks about support/resistance lines and describes them as, "picture throwing a ball down at the floor, it bounces up and then it bounces down off the ceiling, then back up." So many asinine assumptions. These ideas are a text book way of how to trade like dumb money. Don't get me wrong, these trades can work but you need to be able to identify the setups which are more probable and identify reasons not to take others. So I basically had to un-learn all that shit.
Present day, I have a routine in place. I'm out of the dungeon and trade by myself in my room. I trade with a discount broker that is catered to day traders and doesn't rape me on commissions. My mornings have a framework for analyzing the news and economic events of the particular day, I journal so that I can recognize what I'm doing right and where I need to improve. I record my screens for later review to improve my tape reading skills. I am actually tracking my trades now and doing backtesting in equities as well as forex. I'm not a fast reader but I do read a lot, as much as I can. So far I have read about 17-18 books on trading and psychology. I've definitely got a lot more skilled at trading.
As of yet I am not net profitable. Writing that sounds like selling myself short though, honestly. Because a lot of my trades are very good and are executed well. I have talent. However, lesser quality trades and trades which are inappropriately sized/ attempted too many times bring down that P/L. I'm not the type of trader to ignore a stop, I'm more the trader that just widdles their account down with small losses. I trade live because at this point, sim has lost its value, live trading is the ultimate teacher. So I do trade live but I just don't go big like I did before, I keep it small.
I could show you trades that I did great on and make people think I'm killing it but I really just don't need the validation. I don't care, I'm real about it. I just want to get better. I don't need people to think I'm a genius, I'm just trying to make some money.
Psychologically, to be honest with you, I currently feel beaten down and exhausted. I put a lot of energy into this, and sometimes I work myself physically sick, it's happened multiple times. About once a week, usually Saturday, I get a headache that lasts all day. My body's stress rebound mechanism you might call it. Getting over one of those sick periods now, which is why I barely even traded this week. I know I missed a lot of volatility this week and some A+ setups but I really just don't give a shit lol. I just currently don't have the mental capital, I think anyone who's been day trading every day for a year or more can understand what I mean by that. I'm still being productive though. Again, I'm not here to present an image of some badass trader, just keeping it real. To give something 100% day after day while receiving so much resistance, it takes a toll on you. So a break is necessary to avoid making bad trading decisions. That being said, I'm progressing more and more and eliminating those lesser quality trades and identifying my bad habits. I take steps to control those habits and strengthen my good habits such as having a solid routine, doing review and market research, taking profits at the right times, etc.
So maybe I can give some advice to some that are new to day trading, those who are feeling lost, or just in general thinking "...What the fuck..." I thought that every night for the first 6 months lol.
First of all, manage expectations. If you read my story of how I came to be a trader, you can see I had a false impression of trading in many aspects. Give yourself a realistic time horizon to how progress should be made. Do not set a monetary goal for yourself, or any time-based goal that is measured in your P/L. If you tell yourself, "I want to make X per day, X per week, or X per year" you're setting yourself up to feel like shit every single day when it's clear as the blue sky that you won't reach that goal anytime soon. As a matter of fact, it will appear you are moving further AWAY from that goal if you just focus on your P/L, which brings me to my next point.
You will lose money. In the beginning, most likely, you will lose money. I did it, you'll do it, the greatest Paul Tudor Jones did it. Trading is a skill that needs to be developed, and it is a process. Just look at it as paying your tuition to the market. Sim is fine but don't assume you have acquired this skill until you are adept at trading real money. So when you do make that leap, just trade small.
Just survive. Trade small. get the experience. Protect your capital. To reach break even on your bottom line is a huge accomplishment. In many ways, experience and screen time are the secret sauce.
Have a routine. This is very important. I actually will probably make a more in-depth post in the future about this if people want it. When I first started, I was overwhelmed with the feeling "What the fuck am I supposed to DO?" I felt lost. There's no boss to tell you how to be productive or how to find the right stocks, which is mostly a blessing, but a curse for new traders.
All that shit you see, don't believe all that bullshit. You know what I'm talking about. The bragposting, the clickbait Youtube videos, the ads preying on you. "I made X amount of money in a day and I'm fucking 19 lolz look at my Lamborghini" It's all a gimmick to sell you the dream. It's designed to poke right at your insecurities, that's marketing at it's finest. As for the bragposting on forums honestly, who cares. And I'm not pointing fingers on this forum, just any trading forum in general. They are never adding anything of value to the community in their posts. They never say this is how I did it. No, they just want you to think they're a genius. I can show you my $900 day trading the shit out of TSLA, but that doesn't tell the whole story. Gamblers never show you when they lose, you might never hear from those guys again because behind the scenes, they over-leveraged themselves and blew up. Some may actually be consistently profitable and the trades are 100% legit. That's fantastic. But again, I don't care, and you shouldn't either. You shouldn't compare yourself to others.
"Everyone's a genius in a bull market" Here's the thing.. Markets change. Edges disappear. Trading strategies were made by traders who traded during times when everything they did worked. Buy all the breakouts? Sure! It's the fucking tech bubble! Everything works! I'm sure all those typical setups used to work fantastically at some point in time. But the more people realize them, the less effective they are. SOMEONE has to be losing money on the opposite side of a winning trade, and who's willing to do that when the trade is so obvious? That being said, some things are obvious AND still work. Technical analysis works... sometimes. The caveat to that is, filters. You need to, in some way, filter out certain setups from others. For example, you could say, "I won't take a wedge pattern setup on an intraday chart unless it is in a higher time frame uptrend, without nearby resistance, and trading above average volume with news on that day."
Have a plan. If you can't describe your plan, you don't have one. Think in probabilities. You should think entirely in "if, then" scenarios. If X has happens, then Y will probably happen. "If BABA breaks this premarket support level on the open I will look for a pop up to short into."
Backtest. Most traders lose mainly because they think they have an edge but they don't. You read these books and all this stuff online telling you "this is a high probability setup" but do you know that for a fact? There's different ways to backtest, but I think the best way for a beginner is manual backtesting with a chart and an excel sheet. This builds up that screen time and pattern recognition faster. This video shows how to do that. Once I saw someone do it, it didn't seem so boring and awful as I thought it was.
Intelligence is not enough. You're smarter than most people, that's great, but that alone is not enough to make you money in trading necessarily. Brilliant people try and fail at this all the time, lawyers, doctors, surgeons, engineers.. Why do they fail if they're so smart? It's all a fucking scam. No, a number of reasons, but the biggest is discipline and emotional intelligence.
Journal every day. K no thanks, bro. That's fucking gay. That's how I felt when I heard this advice but really that is pride and laziness talking. This is the process you need to do to learn what works for you and what doesn't. Review the trades you took, what your plan was, what actually happened, how you executed. Identify what you did well and what you can work on. This is how you develop discipline and emotional intelligence, by monitoring yourself. How you feel physically and mentally, and how these states affect your decision-making.
Always be learning. Read as much as you can. Good quality books. Here's the best I've read so far;
Market Wizards -Jack Schwager
One Good Trade -Mike Bellafiore
The Daily Trading Coach -Bret Steenbarger
Psycho-cybernetics -Maxwell Maltz
Why You Win or Lose -Fred Kelly
The Art and Science of Technical Analysis -Adam Grimes
Dark Pools -Scott Patterson
Be nimble. Everyday I do my research on the symbols I'm trading and the fundamental news that's driving them. I might be trading a large cap that's gapping up with a beat on EPS and revenue and positive guidance. But if I see that stock pop up and fail miserably on the open amidst huge selling pressure, and I look and see the broader market tanking, guess what, I'm getting short, and that's just day trading. The movement of the market, on an intraday timeframe, doesn't have to make logical sense.
Adapt. In March I used to be able to buy a breakout on a symbol and swing it for the majority of the day. In the summer I was basically scalping on the open and being done for the day. Volatility changes, and so do my profit targets.
Be accountable. Be humble. Be honest. I take 100% responsibility for every dime I've lost or made in the market. It's not the market makers fault, it wasn't the HFTs, I pressed the button. I know my bad habits and I know my good habits.. my strengths/ my weaknesses.
Protect yourself from toxicity. Stay away from traders and people on forums who just have that negative mindset. That "can't be done" mentality. Day trading is a scam!! It can certainly be done. Prove it, you bastard. I'm posting to this particular forum because I don't see much of that here and apparently the mods to a good job of not tolerating it. As the mod wrote in the rules, they're most likely raging from a loss. Also, the Stocktwits mentality of "AAPL is going to TANK on the open! $180, here we come. $$$" , or the grandiose stories, "I just knew AMZN was going to go up on earnings. I could feel it. I went ALL IN. Options money, baby! ka-ching!$" Lol, that is so toxic to a new trader. Get away from that. How will you be able to remain nimble when this is your thought process?
Be good to yourself. Stop beating yourself up. You're an entrepreneur. You're boldly going where no man has gone before. You've got balls.
Acknowledge your mistakes, don't identify with them. You are not your mistakes and you are not your bad habits. These are only things that you do, and you can take action necessary to do them less.
It doesn't matter what people think. Maybe they think you're a fool, a gambler. You don't need their approval. You don't need to talk to your co-workers and friends about it to satisfy some subconscious plea for guidance; is this a good idea?
You don't need anyone's permission to become the person you want to be.
They don't believe in you? Fuck 'em. I believe in you.
submitted by indridcold91 to Daytrading [link] [comments]

Wall Street Week Ahead for the trading week beginning July 22nd, 2019

Good morning and happy Saturday to all of you here on StockMarket. I hope everyone on this subreddit 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 July 22nd, 2019.

Week ahead: Earnings, GDP expected to show sluggish growth as investors await rate cut - (Source)

Sluggish economic and earnings growth will be a theme in markets in the week ahead, as investors await a Fed interest rate cut at the end of the month.
More than a quarter of the S&P 500 companies report earnings in the coming week, the second big week of the second quarter reporting season. FAANG names, like Alphabet and Amazon, and blue chips from McDonald’s to Boeingand United Technologies are among the more than 130 companies reporting.
There is also some key economic data, including Friday’s second quarter GDP, which should show a slowing to 1.8% from the first quarter’s 3.1% pace, according to Refinitiv. On Thursday, durable goods are reported and will include an update on businesses investment. There are also existing home sales Tuesday, new home sales Wednesday and advance economic indicators Thursday.
But there will be no Fed speakers, after a parade of central bank officials in the past week, including Fed Chair Jerome Powell. The most impactful comments, however, came Thursday from New York Fed President John Williams, who set off a debate about how much the Fed could cut rates at its July 30-31 meeting — 25 or 50 basis points.
Even as the New York Fed later said Williams comments were not about current policy, market pros took heed of his words about how central bankers should “act quickly.”
Fed dominates Fed officials do not speak publicly in the days ahead of policy meetings, but market pros will find plenty to debate. Fed funds futures were predicting a 43% chance of a 50 basis point cut in July, after shooting as high as 70% Thursday afternoon.
“For sure, the Fed is going to dominate for next week. I think we’ll get at least a 25 basis point cut. I’m thinking we’re not going to get 50 basis point cut...The Fed has been burned when it’s been bold,” said Tony Roth, chief investment officer at Wilmington Trust.
Roth said he believes the market is already pricing in a quarter-point cut, and he does not see the Fed’s rate cut as much of a longer-term catalyst for stocks. If it trims by a half percentage point, he expects just a short-term pop.
Economists believe the Fed will cut interest rates even though recent data has improved. That’s in part because Powell has stressed the Fed is focused on the global economic slowdown, trade wars and low inflation, and that it will do what it takes to keep the economy expanding.
“The only real catalyst that would really help the market would be if there was a trade deal with China,” Roth said. “I think the likelihood of that is less than > 10%. We’re very pessimistic on the possibility of a real deal with China prior to the [2020 presidential] election.”
So, in the void ahead of the Fed’s meeting, the market will be watching earnings. As earnings rolled out this past week, stocks took a rest from their record-setting streak, as some companies lowered forecasts and most beat earnings and revenue estimates.
As of Friday morning, 77% of the roughly 80 companies reporting had beaten earnings estimates, and 65% topped revenue forecasts, according to Refinitiv. Based on actual reports and forecasts, earnings per share for the S&P companies are expected to be up 1% in the second quarter. That is up from expectations that the profit growth would be slightly negative this quarter.
“If you look at the numbers, we’re above the averages for top and bottom line beats, but at the same time when you look at revisions, every day we’re getting revisions for third and fourth quarter, and they’re coming down.There’s a real worry of an earnings recession, when you get out into the third and fourth quarter and out to next year,” Roth said.
Roth said he’s currently neutral on risk assets, and he sees a slowdown brewing in the smallest U.S. companies that could spread up the food chain.
“We do see those fundamental cracks in the economy in small business and the small business labor market, and on top of that you have these big macro risks out there,” such as trade and the upcoming election, Roth said.
Slower economy As earnings growth was muted in the second quarter, so was the pace of economic gains. If growth comes in as expected, it would be the first quarter where growth was under 2% since the first quarter of 2017. Economists are watching to see how consumer spending fared in the quarter, after a recent pickup and also whether business inventories are declining.
“The data we need is not Q2. What’s at risk is the growth and magnitude of the Fed rate cut. I don’t think Q2 is going to have much impact on the Fed’s thinking,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “It’s really how Q3 is progressing. It seems to me the economy softened in April and May and picked up in June with jobs data, retail sales and manufacturing sector.”
Chandler said investors will also be focused on the European Central Bank, which some economists believe could cut its overnight deposit rate to negative 0.5% from negative 0.4% currently when it meets Thursday. Chandler said odds are about 50% for the rate cut, which many also expect in September.
“While we’re waiting for the Fed to figure out whether it’s 25 or 50 basis points, and we’re waiting for the ECB to get all its forms sorted out ... the emerging markets are pushing ahead,” said Chandler, noting Russia and Turkey could cut rates in the next several days, after similar moves in the past week by South Africa, South Korea and Indonesia.
“It just makes the story more global. You’re seeing the trade numbers from China, Japan, Singapore and South Korea weaken. You’re seeing exports form China suffer. Exports from all of Asia are suffering,” he said. “The big surprise for China and Japan has also been on the import side. The declines in their imports is really someone else’s [drop in] exports.”
Rate cuts and currency wars Dollar strength has been a consequence of the trade war, and Fed action could help turn it around.
“If the Fed fails to move, you’re going to end up with an increasingly stronger dollar,” which impacts corporate earnings, Roth said.
“The dollar is quite strong and is increasingly going to be a headwind for U.S. companies. It hasn’t appreciated that much in 12 months, but if we see a divergence in monetary policy between the U.S. and the rest of the world, you would see a carry trade develop where people would want to buy assets in the U.S.,” he said.
The dollar index was slightly higher on the week, but Wall Street has been focused on President Donald Trump’s negative comments on the currency’s strength. As Trump has criticized the Fed, he also complains that other central banks manipulate their currencies to give them an edge in trade. Trump has said the Fed should already be cutting rates, something it hasn’t done since December 2008.
A number of Wall Street strategists have said they now believe it is possible that the U.S. government could intervene to weaken the dollar, but that would be unlikely.

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!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

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 next month:

(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!)

Lagging Small-caps: Seasonal and Economic Factors Weigh

Small-caps measured by the performance of the Russell 2000 have been lagging since mid-March with the gap in performance widening in June and continuing into July. At yesterday’s close the Russell 2000 was up 15.35% year-to-date compared to a gain of 19.87% for the Russell 1000. Based upon historical trends this is not unusual for this time of the year nor during times when U.S. economic data is mixed.
In the following chart the one-year seasonal pattern of the Russell 2000/Russell 1000 has been plotted (solid black line with grey fill) along with 2019 year-to-date (blue line). This chart is similar to the chart found on page 110 of the 2019 Stock Trader’s Almanac. When the lines are rising small-caps are outperforming, when the lines are falling small-caps are lagging. Small-caps exhibited typical seasonal strength during the first quarter but have been fading ever since. In some years, small-cap strength can last until mid-June however, that is not the case this year. Going forward, small-cap underperformance is likely to persist until early in the fourth quarter with possible a hint of strength at the end of August.
(CLICK HERE FOR THE CHART!)

Robust Summer Rallies Trim Fall Pullbacks

It’s usually about this time of the year, when trading volumes begin to slump and markets meander that we begin to hear talk of the infamous “Summer Rally” featured on page 74 of the Stock Trader’s Almanac 2019. The “Summer Rally” is usually the weakest seasonal rally of them all.
We looked at the current Summer Rally and found it to be above average already, up 10.2% from the Spring low on May 31, and that does portend well for the Summer and Fall Corrections. We lined up the Summer Rallies ranked from weakest to strongest since 1964. Over the past 55 years prior to this year DJIA has rallied and average of 9.1% from its May/June low until its Q3 high. The Fall Rally averages 10.9% and the Summer and Fall Corrections average a loss of just under 9% for a net average gain of a few percentage points over the summer and fall.
As shown in the table below, when the Summer Rally is greater than or equal to the 55-year 9.1% average, the summer and fall correction tend to be bit milder, -6.2% and -8.2%, respectively. Summer Rally gains beyond 12.5% historically had the smallest summer and fall corrections. One prominent exception being 1987.
(CLICK HERE FOR THE CHART!)

Earnings (and Guidance) Likely to Make or Break the Rally

Once again today, DJIA, S&P 500 and NASDAQ closed at new all-time highs. With today’s modest gains, DJIA is up 17.3% year-to-date. S&P 500 is even better at 20.2% while NASDAQ is still best at 24.5%. Compared to historical average performance in pre-election years at this time of the year, DJIA and S&P 500 are comfortably above average. NASDAQ’s impressive 24.5% gain is just average (since 1971). NASDAQ’s Midyear Rally delivered again, but officially ended last Friday. The seasonal pattern charts, above and below, along with July’s typical performance over the last 21 years suggest further gains during the balance of July and the third quarter could be limited. For the market to make meaningful gains in the near-term earnings will need to decent and forward guidance will also need to be firm.
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)
(CLICK HERE FOR THE CHART!)

"We Don't Need Your Stinking Data"

Yesterday was another one of those days that makes you scratch your head. In a relatively busy day for economic data, Initial Jobless Claims came in within 25K of a 50-year low, and the Philly Fed Manufacturing report saw its largest m/m increase in a decade. That follows other data last week where Retail Sales were very strong and CPI and PPI both came in ahead of consensus forecasts. The trend of better than expected data since the June employment report on July 5th is reflected in recent moves of the Citi Economic Surprise Index which has rallied from -68.3 up to -41.5. Granted, it’s still negative, but what was looking like a real dismal backdrop for the economy just three weeks ago seems to be showing signs of improvement.
(CLICK HERE FOR THE CHART!)
On top of the economic data, two notable interviews from FOMC officials Williams from New York and Vice Chair Clarida moved markets. Given the strong tone of economic data, one would expect both officials to try and tone down rising market expectations regarding any aggressive policy moves at the July meeting. Well, markets don’t always make sense.
In their respective interviews, both Williams and Clarida not only didn’t tone down expectations, but they added fuel to the fire. Williams noted that “it pays to act quickly to lower rates" and "vaccinate” the economy "against further ills." Clarida was even more direct when he said that “Research shows you act preemptively when you can.” In other words, the data-dependent Fed is casting the data aside and ready to move anyway. In his interview on Fox Business, Clarida almost got a chuckle when asked whether there was any chance the Fed wouldn’t cut rates in July.
The dovish turn from the Fed was immediately reflected in market expectations for rate policy at the July meeting. Back in June, market expectations for a 50 basis points (bps) cut at the next meeting peaked out at under 50%. Then, in the days following the June employment report, expectations dropped all the way down to 3%. In the last ten days, though, the trend has completely reversed, and as of yesterday’s close topped out at 71% versus just a 29% chance for a 25 bps cut. Probabilities for a 50 bps cut came in a bit overnight but are still at about 50/50. Yesterday alone, though, expectations for a 25 bps cut and a 50 bps cut more than completely reversed from the prior day, and remember, that’s after what was a good day of economic data! Can you imagine what expectations would be like if the data was actually bad?
(CLICK HERE FOR THE CHART!)

US Beats World When It Comes to Stocks

The Bloomberg World index is a cap-weighted index made up of nearly 5,000 stocks from around the world (including US stocks). While the S&P 500 has been hitting new all-time highs over the last week, the Bloomberg World index remains 7% below highs that it last made back in January 2018.
(CLICK HERE FOR THE CHART!)
Below is a chart showing the ratio of the S&P 500 to the Bloomberg World index since the World index's inception back in August 2003. While the World index outperformed the US for five years in the mid-2000s, the US has been outperforming since the end of 2007, which includes both the Financial Crisis and the bull market that has been in place since the 2009 lows.
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Along with the relative strength chart between the two indices above, below we show the price change of the S&P 500 versus the Bloomberg World index since August 2003. Through today, the S&P was up 203% versus a gain of 142% for the Bloomberg World index.
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Since the November 2016 election, the S&P 500 is up 40% versus a gain of 26% for the Bloomberg World index. Notably, the World index kept up with the S&P through early 2018, but weakness for the World index in mid-2018 and a failure to bounce back as much as the US this year has left the World index well behind.
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Best Performing Stocks Over the Last 12 Months

The S&P 500 is up over 20% YTD, but over the last 12 months, it is up just under 10% on a total return basis. And within the S&P 1500, there are only 44 stocks that are up more than 50% on a total return basis over the last 12 months. These 44 stocks are listed below.
Innovative Industrials (IIPR) -- a cannabis REIT -- has been the best performing stock in the S&P 1500 over the last year with a total return of 302%. In second place is eHealth (EHTH) with a gain of 269%, followed by Avon Products (AVP) at +174.8% and Coca-Cola Bottling (COKE) at +128.58%. Coca-Cola Bottling is probably one of the last names you would have guessed as a top five performer over the last year! Other notables on the list of biggest winners include Advanced Micro (AMD), LendingTree (TREE), Starbucks (SBUX), AutoZone (AZO), Chipotle (CMG), Hershey (HSY), and Procter & Gamble (PG).
Some names that aren't on the list that you may have expected to see? AMZN, NFLX, MSFT? Nope. None of the mega-cap Tech companies are on the list of biggest winners due to serious weakness from this group in Q4 2018.
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2% Days Few and Far Between

Although the last two trading days have seen exceptionally narrow daily ranges, today we wanted to take a quick look at the S&P 500's frequency of 2% daily moves (either up or down) in the post-WWII period. The chart below breaks out the frequency of 2% days by year, and years with more than 25 one-day moves of 2% are notated accordingly.
Overall, there have been an average of 11 daily 2% moves in a given year. After five straight years from 2007 to 2011 where we saw an above-average number of 2% days, the last seven years have only seen one year with an above-average number of occurrences (2018, 21). Remember, in 2017 there wasn't one single trading day that saw the S&P move up or down 2%!
So far this year, there have only been four 2% days, but with the most volatile part of the year on tap, we are likely to see that number increase in the months ahead. Don't expect the relative calm that we have seen in the last few trading days to last forever. Volatility is unpredictable and usually comes up and surprises you when you least expect it!
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STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending July 19th, 2019

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(VIDEO NOT YET UP!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 07.21.19

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Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $FB
  • $AMZN
  • $TSLA
  • $BA
  • $T
  • $SNAP
  • $PIXY
  • $HAL
  • $TWTR
  • $KO
  • $F
  • $V
  • $LMT
  • $GOOGL
  • $INTC
  • $CAT
  • $PYPL
  • $BIIB
  • $UTX
  • $IRBT
  • $XLNX
  • $UPS
  • $ABBV
  • $CNC
  • $NOK
  • $CMG
  • $MMM
  • $RPM
  • $SBUX
  • $JBLU
  • $BMY
  • $GNC
  • $MCD
  • $CDNS
  • $CADE
  • $NOW
  • $AMTD
  • $HAS
  • $HOG
  • $ANTM
  • $WM
  • $CMCSA
  • $FCX
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
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 7.22.19 Before Market Open:

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

Monday 7.22.19 After Market Close:

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

Tuesday 7.23.19 Before Market Open:

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

Tuesday 7.23.19 After Market Close:

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

Wednesday 7.24.19 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Wednesday 7.24.19 After Market Close:

(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Thursday 7.25.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #1!)
(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK #2!)

Friday 7.26.19 Before Market Open:

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

Friday 7.26.19 After Market Close:

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

Amazon.com, Inc. $1,964.52

Amazon.com, Inc. (AMZN) is confirmed to report earnings at approximately 4:00 PM ET on Thursday, July 25, 2019. The consensus earnings estimate is $5.29 per share on revenue of $62.51 billion and the Earnings Whisper ® number is $5.70 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.34% with revenue increasing by 18.20%. Short interest has increased by 14.0% since the company's last earnings release while the stock has drifted higher by 1.8% from its open following the earnings release to be 13.0% above its 200 day moving average of $1,737.93. Overall earnings estimates have been revised lower since the company's last earnings release. On Thursday, July 11, 2019 there was some notable buying of 3,494 contracts of the $2,000.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 4.4% move on earnings and the stock has averaged a 4.0% move in recent quarters.

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Facebook Inc. $198.36

Facebook Inc. (FB) is confirmed to report earnings at approximately 4:05 PM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.90 per share on revenue of $16.45 billion and the Earnings Whisper ® number is $2.01 per share. Investor sentiment going into the company's earnings release has 82% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 9.20% with revenue increasing by 24.33%. Short interest has increased by 21.7% since the company's last earnings release while the stock has drifted higher by 0.7% from its open following the earnings release to be 20.8% above its 200 day moving average of $164.17. Overall earnings estimates have been revised higher since the company's last earnings release. On Wednesday, July 17, 2019 there was some notable buying of 16,697 contracts of the $290.00 call expiring on Friday, September 20, 2019. Option traders are pricing in a 6.5% move on earnings and the stock has averaged a 8.6% move in recent quarters.

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Tesla, Inc. $258.18

Tesla, Inc. (TSLA) is confirmed to report earnings at approximately 5:15 PM ET on Wednesday, July 24, 2019. The consensus estimate is for a loss of $0.52 per share on revenue of $6.38 billion and the Earnings Whisper ® number is ($0.44) per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 84.80% with revenue increasing by 59.41%. Short interest has increased by 26.5% since the company's last earnings release while the stock has drifted higher by 1.2% from its open following the earnings release to be 8.1% below its 200 day moving average of $280.96. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 30,445 contracts of the $50.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 7.8% move on earnings and the stock has averaged a 7.4% move in recent quarters.

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Boeing Co. $377.36

Boeing Co. (BA) is confirmed to report earnings at approximately 7:30 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $1.89 per share on revenue of $20.27 billion and the Earnings Whisper ® number is $1.91 per share. Investor sentiment going into the company's earnings release has 17% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 43.24% with revenue decreasing by 16.44%. Short interest has increased by 11.2% since the company's last earnings release while the stock has drifted lower by 0.1% from its open following the earnings release to be 4.0% above its 200 day moving average of $362.82. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 6,176 contracts of the $325.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.8% move on earnings and the stock has averaged a 3.0% move in recent quarters.

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AT&T Corp. $32.79

AT&T Corp. (T) is confirmed to report earnings at approximately 6:50 AM ET on Wednesday, July 24, 2019. The consensus earnings estimate is $0.89 per share on revenue of $45.02 billion and the Earnings Whisper ® number is $0.90 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 2.20% with revenue increasing by 15.48%. Short interest has increased by 16.4% since the company's last earnings release while the stock has drifted higher by 5.5% from its open following the earnings release to be 4.5% above its 200 day moving average of $31.37. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, July 8, 2019 there was some notable buying of 144,398 contracts of the $28.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 4.1% move on earnings and the stock has averaged a 4.5% move in recent quarters.

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Snap Inc. $14.02

Snap Inc. (SNAP) is confirmed to report earnings at approximately 4:10 PM ET on Tuesday, July 23, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $358.48 million and the Earnings Whisper ® number is ($0.08) per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat The company's guidance was for revenue of $335.00 million to $360.00 million. Consensus estimates are for year-over-year earnings growth of 9.09% with revenue increasing by 36.69%. Short interest has decreased by 3.8% since the company's last earnings release while the stock has drifted higher by 13.5% from its open following the earnings release to be 36.9% above its 200 day moving average of $10.24. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, July 5, 2019 there was some notable buying of 7,449 contracts of the $19.00 call expiring on Friday, July 26, 2019. Option traders are pricing in a 13.7% move on earnings and the stock has averaged a 19.1% move in recent quarters.

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ShiftPixy, Inc. $0.63

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, July 22, 2019. The consensus estimate is for a loss of $0.08 per share on revenue of $14.39 million. Investor sentiment going into the company's earnings release has 44% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 33.33% with revenue increasing by 53.48%. Short interest has decreased by 8.2% since the company's last earnings release while the stock has drifted lower by 50.9% from its open following the earnings release to be 63.8% below its 200 day moving average of $1.74. Overall earnings estimates have been revised higher since the company's last earnings release. The stock has averaged a 16.9% move on earnings in recent quarters.

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Halliburton Company $21.75

Halliburton Company (HAL) is confirmed to report earnings at approximately 6:45 AM ET on Monday, July 22, 2019. The consensus earnings estimate is $0.30 per share on revenue of $5.97 billion and the Earnings Whisper ® number is $0.29 per share. Investor sentiment going into the company's earnings release has 60% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 48.28% with revenue decreasing by 2.88%. Short interest has increased by 39.2% since the company's last earnings release while the stock has drifted lower by 31.6% from its open following the earnings release to be 25.7% below its 200 day moving average of $29.27. Overall earnings estimates have been revised lower since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 9,264 contracts of the $20.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 3.5% move in recent quarters.

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Twitter, Inc. $36.77

Twitter, Inc. (TWTR) is confirmed to report earnings at approximately 7:00 AM ET on Friday, July 26, 2019. The consensus earnings estimate is $0.19 per share on revenue of $828.49 million and the Earnings Whisper ® number is $0.24 per share. Investor sentiment going into the company's earnings release has 75% expecting an earnings beat The company's guidance was for revenue of $770.00 million to $830.00 million. Consensus estimates are for earnings to decline year-over-year by 0.00% with revenue increasing by 16.60%. Short interest has increased by 9.0% since the company's last earnings release while the stock has drifted lower by 0.4% from its open following the earnings release to be 10.1% above its 200 day moving average of $33.39. Overall earnings estimates have been revised higher since the company's last earnings release. On Monday, July 15, 2019 there was some notable buying of 7,151 contracts of the $60.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.4% move on earnings and the stock has averaged a 12.7% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Visa Inc $179.24

Visa Inc (V) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, July 23, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.70 billion and the Earnings Whisper ® number is $1.37 per share. Investor sentiment going into the company's earnings release has 79% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 10.83% with revenue increasing by 8.78%. Short interest has decreased by 6.9% since the company's last earnings release while the stock has drifted higher by 11.7% from its open following the earnings release to be 19.5% above its 200 day moving average of $150.03. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, July 16, 2019 there was some notable buying of 4,839 contracts of the $165.00 put expiring on Friday, August 16, 2019. Option traders are pricing in a 3.1% move on earnings and the stock has averaged a 2.6% move in recent quarters.

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DISCUSS!

What are you all watching for in this upcoming trading week ahead?
I hope you all have a fantastic weekend and a great trading week ahead StockMarket!
submitted by bigbear0083 to StockMarket [link] [comments]

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