How to Get a 10 Percent Monthly Return Day Trading

2 years of PTI with the economy

As PTI comes onto two years, I felt like making this post on account of seeing multiple people supporting PML-N for having an allegedly better economy for Pakistan, particularly with allegations present that PTI has done nothing for the economy. So here's a short list of some major achievements done by PTI in contrast to PML-N.
This is by no means a highly comprehensive list, just my opinion on some of the bigger achievements; saving the economy from defaulting, adopting tax reforms, tourism reforms, export reforms among them whilst managing covid and economic stability with relative success.
There are of course a multitude of other factors, successfully avoiding a blacklist from the FATF, macroeconomic reforms, attempts to strengthen the working class; ehsaas programs, Naya Pakistan housing schemes alongside other relief efforts. These are measures in accordance with curtailing the effect of increasing taxation and attempts to abate the economic slowdown that came as a result of forcing an increase in government revenue. Alongside the focus on multiple new hydroelectric dams, industrial cities, reduction of the PM office staff from 552 to 298, 10 billion tree project and an overall renewed interest in renewable energy and green Pakistan. The list is comprehensive.
Pakistan remains on a rocky path, it is not out of the woods yet. Covid-19 has seriously hampered the overall projections, and caused a worldwide economic contraction. Not only that, but there are criticisms that can be attributed to the government as well, as they are not without fault. However, the overall achievements of the government with regards to the economy do present hope for the long-term fiscal policy and development of Pakistan.
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CMV: Regarding new economic plan that would create an open system of accountability and without increasing the debt.

Currently there are 250,000 people in Las Vegas, NV that will not be able to pay their rent for September. Let's say a total of $125,000 million dollars would take care of their rent situation. I came up with that number by dividing $125,000 by $500. I know rents are higher. This is for illustrative purposes.
This is a very difficult time for just about everyone at the moment. We are looking for answers that we just don’t have. Now is the time to come together as a unit and take part in something bigger than it’s individual parts. I am talking about a new way of financial thinking that creates a win, win, win, situation. Renters make up forty percent of households and thirty eight percent of renters are estimated to be unemployed right now. Eviction notices could be mailed as soon as next month. This is a crisis that will affect the entire country. But there is something that we can do about it, but it takes all of our voices in unity to make it happen. This is a collective action that can be implemented immediately. Now is the time to go beyond thinking out of the box and thinking out of our universe.
Big banks and financial institutions were responsible for the 2007 housing collapse which devastated the entire world economy. In 2008, the Emergency Economic Stabilization Act was signed into law, creating a $700 billion program to purchase devalued assets from banks. This was called the Troubled Asset Relief Program, or TARP. Later, President Obama would direct $75 billion in funds from TARP to help reduce interest payments for homeowners. That means homeowners received around 10% of the direct relief that banks and corporations did, according to Business Insider. It’s now time for the financial institutions to do their share and make up for the last financial debacle.
The financial markets are experiencing all time highs and billionaires got $637 billion dollars richer in the last few months. Somethings definitely out of whack here and I will show you how we fix this. I said we, meaning the millions of people around the world with one voice helping to implement The One Cent More Plan. For any financial movement to be sustainable it must be transparent for all to see where the money is being used and not exploited by a few. That’s why no one organization is responsible for the money involved and each transaction is in the block-chain ledger for all to see at anytime.
This is how it works for renters, landlords and the banks. For the purpose of this example let’s use Cindy as a renter who lives in Las Vegas and lost her job and can’t pay next months rent. She has notified her landlord and he is trying to be as courteous as possible, but he also has a mortgage to pay on his apartment building which has ten units. Some of the other tenants have lost their jobs as well. As you can see this is a common occurrence in Las Vegas at the moment. This is where the bank steps in as the lovable George Bailey types which they will become. I know what you are thinking. Their more like Mr. Potter than George in it’s a Wonderful Life. But you will soon see that it’s in their best interest to be more like George in the long run. If you haven’t seen the movie, I suggest you do. It’s one of my favorites.
I will start with the New York Stock Exchange. The average daily volume for the last three months was 1,123,989,426 shares which equates to a staggering 22,479,788,520 shares per month. What if for each share an additional fee of one cent were added. This would result in $11,239,894.26 dollars per day going into the The One Cent More Plan Fund. You know at the end of each day the total amount that the fund should have simply by looking at the end of day total volume for the market. Multiply that by the number of trading days in the month and it equals 224,797,885.20 dollars. This is just one market. Now let’s say Cindy is a beneficiary of The One Cent More Plan Fund which is setup for the sole purpose of assisting with rent for those who can’t pay. Her rent was 750 dollars she would receive 500 dollars for rent and nothing out of her pocket. But Cindy wouldn’t get a direct payment. She would receive a receipt contract from her bank with a block-chain transaction number which she can look up on the internet to verify that it had been paid. Her landlord would also receive from his bank a receipt contract only because he owes the bank his mortgage payment. If he had no mortgage the payment would go directly to him. His payment would also be on the block-chain. So, Cindy’s rent is paid for the month of September. Her landlord is happy although he doesn’t get his normal amount of 750 dollars, it’s still better than having to go through the hassle of evicting a good tenant and ending up with no rent at all!! And the landlords bank is happy that the mortgage is being paid.
Here is the Ethereum Blockchain Ledger
So how much would it cost to do the same for the other people who can’t pay their rent. This is just one example with one market. As you can see there are no real losers in this equation. A one cent transaction fee on every stock sold is not a lot to fight over. Once Cindy finds a job she would not receive the entire $500 for rent only $300. The remaining $200 would stay in the fund to sustain it. And by the way this is a temporary transaction fee until more people get back to work and the economy starts to recover. It is estimated that $21 trillion dollars is hidden in offshore accounts by the wealthy. Companies in the United States have an estimated $2.1 trillion. If companies just brought back that money and donated the interest alone from it this would have a huge impact on the economy and not increase the national debt at all! When you don’t have customers with money to buy your product it will really begin to feel like 1929 again in a hurry. This could snowball quickly. We don’t have time for negotiations over a stimulus package. Big banks and corporations could really turn their image around and be the true heroes if they wanted to be. The money is there folks we just have to make them accountable with our voices. We have seen how social change can happen all around the world. Let’s not miss this opportunity today right now. I haven’t even spoken about the largest market in the world and that is Forex. If we just took a small portion each day from the six trillion that is traded each day it would help us stop evictions around the world and give people hope.
Banks are already using block-chain technology as we speak. This doesn’t require building brand new infrastructure. As I just showed you this can be done with existing bank accounts. Payments can be made in seconds. I can send my sister money through Zelle in minutes. Their should be no lag time as to when payments can be made. So who is going to foot the bill for making this happen. The banks of course and without any transaction fee whatsoever.
I look forward to all your comments and suggestions with an open mind.

Thanks,,
chronus80
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How Much Money Do I need to Trade Forex, Stocks, Indices, or Cryptocurrency for a Living?

How Much Money Do I need to Trade Forex, Stocks, Indices, or Cryptocurrency for a Living?

How Much Money Do I Needto Trade Forex, Stocks, Indices, or Cryptocurrency for a Living?


Most traders start with small accounts of up to $ 5,000 or similar and plan to become millionaires within a year.
Experienced traders already realize that this is, of course, wrong.
You can only fault yourself because you have ambitious goals that will only frustrate you.
Of our Tournament, we need a 10 percent monthly growth and that is called an advantage.
The 10 percent benefit has been selected for being inspiring and still achievable.
There is practically no day when all of our projects don't meet a Challenge.
Many traders are going to make this required benefit too small, but FTMO has a set maximum loss of 10 percent.
So we want the trader to earn 10% of the initial capital within 30 days, without losing 10% of the initial capital.
So the desired profit, as well as the maximum permissible loss, are in balance.
Since we are traders too, we know that there are sometimes months that do not correspond to our plan.
If you do not achieve the desired profit, you will receive a new Challenge from us
at least zero at the end of the period and you do not violate any other rule.
We have an idea, thanks to a relatively large number of traders,
of what we should expect from traders who progressed to their live FTMO accounts.
More caution is generally exercised on the funded account, and consequently, the average gain is lower than in the Challenge.
Only rare exceptions are profiting in tens of percent.
We as investors are pleased to see a 4-7 percent long-term appreciation.

Money for Trading
Let's compare two accounts, a smaller account at around $5,000, and a $100,000 account that we're offering to manage.
Let's be optimistic and count on a 7 percent monthly appreciation.
The $5,000 account 's final profit would be $350
Our $100,000-funded account would print the $7,000 profit, but in this case, it is necessary to deduct our portion of the profit.
You will earn a net profit of $4,900 after taking our 30 percent,
which corresponds to the salary of an experienced banking programmer or financial analyst.
If this was your first trading month, the fee you originally paid for the Challenge will also be refunded to you.
Working with the concept of opportunity cost, too, is important.
This term identifies the most profitable alternative activity you might be able to do, rather than trade.
Hence we compare the alternative employment income vs. the resulting monthly profit.
Let's say you could stay at work for two hours longer instead of evening trading, and take an extra $8/hour.
Your trading will cost you $320 a month (20 working days x $16), Only because you're doing it.
The resulting monthly trading income is only $30 higher ($350-$320)
for your $5,000 account, and you risk your entire deposit!
In the case of $100,000 of the FTMO account, the resulting net
profit is $4,580, and our company will cover any potential risk of loss.
These numbers are a little bit better, don't you think?
It should also be remembered that if you ended up at zero for
a month on a trading account, you'll earn $320 if you didn't trade.
At first glance, it's obvious that living on a long-term basis without risking too much and
putting trading on the side of gambling is not very realistic out of a small $5,000 account.
So we think our services are
of interest to all serious traders.
Have you got
what it takes?
Make sure you pass and become a Funded FTMO Trader by completing the Challenge.
If you have any questions please leave a comment below.

Cheers and Profitable Trading to All.

Eva "Forex" Canares



How's Does FTMO Work?
Upon successful completion of the trading course,
you are guaranteed a placement in the FTMO Proprietary Trading firm
where you can remotely manage a funded account of up to 100,000 USD.
Your journey to get there might be challenging, but our educational applications,
account analysis and performance psychologists are here to guide you on the endeavor to financial independence.


JOIN THE TEAM OF SUCCESSFUL TRADERS FROM ALL OVER THE WORLD

If you are ready, accept the FTMO Challenge and become a funded FTMO Trader.

Or You can even try the entire process completely free of charge.

FTMO FREE TRIAL
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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]

Immediate Aftermath : The more data we collect and analyze, the clearer the picture becomes.

This is the updated first part of the list that has recorded the notable events as the world deals with the COVID-19 pandemic. [2nd Part] ― The LINKS to events and sources are placed throughout the timeline.
------------------------
The More Data We Collect and Analyze, the Clearer the Picture Becomes.
Someone threw a stone in a pond a long way away. And we're only just feeling the ripples. — Fukuhara from Giri/Haji, Netflix series
------------------------
On Jan 30, Italian PM announced that Italy had blocked all flights to and from China. While Italy has banned people from air-travelling to China, however according to IATA data, there's no measurement implemented for air-travellers from China into Italy till the Mar 07. Especially for Chinese people who have EU passports.
On Jan 31, the US announced the category-I travel restrictions, barring all foreigners who have been in China for the past 14 days, with measures including the refusal of visas and mandatory quarantine.
• "Because the US focused on China and didn't expect the infected people's entry from Europe and the Middle East, the Maginot Line was breached from behind. And so little of credible data at the beginning made the US government to miscalculate its strategic response to the virus." — Dr. Zhang Lun, currently a visiting scholar at Harvard (economics & sociology), during the interview with ICPC on Mar 29.
Also on Jan 31, the WHO changed its tune and declared the coronavirus outbreak a Global Public Health Emergency of international concern (PHEIC).
Decisions on a PHEIC always involve politics .... West African countries discouraged a declaration in 2014 after they were hit by the largest Ebola virus outbreak on record, mainly because of concern about the economic impact.
------------------------
On Feb 02, regarding the US category-I travel restrictions, Kamala Harris, the former Democratic presidential candidate, declared on Twitter:
Since 2017, Trump’s travel bans have never been rooted in national security—they’re about discriminating against people of color. They are, without a doubt, rooted in anti-immigrant, white supremacist ideologies. This travel ban is no different.
On Feb 03, criticizing Trump for his travel restrictions continues. Chinese foreign ministry spokeswoman Hua Chunying (华春莹), a Peking University professors James Liang (梁建章), New York Times, the Nation, OBSERVER, the Boston Globe, Yahoo, and Daily Kos were saying,
it's a "panicky" decision and "racist" or it's "cruel and callous," he's stoking fear for political gains, and the president is "inappropriately overreacting." And professors Liang even said the US ban "will hurt goodwill and cooperation [with China] in the future." [1] [2] [3] [4] [5] [6] [7] [8] [9]
Also on Feb 03, Mr. Tedros of the WHO said there's no need for travel ban measure that "unnecessarily interfere with international travel and trade" trying to halt the spread of the virus.
China's delegate took the floor ... and denounced measures by "some countries" that have denied entry to people holding passports issued in Hubei province - at the centre of the outbreak - and to deny visas and cancel flights.
Also on Feb 03, China is expected to gradually implement a larger stimulus packages (in total) than a USD $572 billion from 2008. — We'd never find out but my guess is that the fund will probably go to Shanghai clique.
On Feb 04, The FDA has given emergency authorization to a new test kit by the CDC that promises to help public health labs meet a potential surge in cases.
The speed ... pushing through a new diagnostic test shows just how seriously they’re taking the potentially pandemic threat of 2019-nCoV. It’s also a sign that the world is starting to learn how to deal with an onslaught of new pathogens.
Also on Feb 04, the Wuhan Institute of Virology and China's Academy of Military Medical Sciences (AMMS, Chief Chen Wei belongs to) have jointly applied to patent the use of Remdesivir. Scientists from both institutes said in a paper published in Nature’s Cell Research that they found both Remdesivir and Chloroquine to be an effective way to inhibit the coronavirus.
On Feb 06, Jamestown Foundation, a Washington-based research & analysis unit, noted that with State Council of PRC praising his performance of containing the pandemic situation, the council expanded Li Keqiang's political control over Politburo Standing Committee of CCP. (Li Keqiang = Communist Youth League = Shanghai clique)
Also, on Feb 06, as the US evacuation planes leave China, the wave of the US evacuees have arrived who are met by the CDC personnel at the quarantine sites for screening, and those who were suspected of infection will be placed under quarantine for 14 days.
Also, on Feb 06, a CDC-developed lab test kit to detect the new coronavirus began shipping to qualified US laboratories and international ones. — However, on Feb 12, the CDC said some of the testing kits have flaws and do not work properly. The CDC finally ended up shipping the working test kits for mass testings on Feb 27. This was three weeks later than originally planned.
On Feb 07, China National Petroleum has recently declared Force Majeure on gas imports. They are trying to create a breathing room for their foreign exchange reserves shortage. China's foreign exchange reserves fell to mere USD $3.1 trillion in Oct. 2019.
On the same day, Bloomberg reported that PetroChina has directed employees in 20 countries to buy N95 face masks and send them home in China. The goal is to get 2 million masks shipped back. You can also find YouTube videos that show Overseas Chinese are scouring the masks at the Home Depot to ship them to China (the video in Korean). Also Chris Smith is pissed.
On Feb 09, Trump renews his national emergency on its southern border, and Elizabeth Goitein from the Brennan Center for Justice, published an opinion article on New York Times titled "Trump Has Abused This Power. And He Will Again if He’s Not Stopped."
On Feb 10, Dr. Tedros said that an advance three-person team of the WHO arrived in Beijing for a joint mission to discuss with Chinese officials the agenda and questions. Then, the joint mission of about 10 international experts will soon follow, he said. — Those WHO experts ended up visiting Chinese epicentre for the first time on Feb 24.
On Feb 12, the US targets Russian oil company for helping Venezuela skirt sanctions. The US admin seemingly tried to secure leverage against Russia after noticing something suspicious was up.
On the same day, Trump told Reuters "I hope this outbreak or this event (for the US) may be over in something like April." — Dr. Zhong Nanshan (钟南山), China's top tier SARS-hero doctor, also said "the peak of the virus (for China) should come in mid to late February, followed by a plateau or decrease," adding that his forecast was based on on mathematical modelling and data from recent events and government action.
On Feb 13, Tom Frieden who is a former US CDC chief and currently the head of public health nonprofit Resolve to Save Lives, said:
As countries are trying to develop their own control strategies, they are looking for evidence of whether the situation in China is getting worse or better. [But] We still don't have very basic information. [since the WHO just entered China] We hope that information will be coming out.
On the same day, the CDC reports that the 15th case in the US was confirmed. The patient was a part of group who were under a federal quarantine order at the JBSA-Lackland base because of a recent trip to Hubei Province, China.
By Feb 13, China hasn't accepted the US CDC's offer to send top experts, and they haven't released the "disaggregated" data (specific figures broken out from the overall numbers) even though repeatedly been asked.
On Feb 14, CCP's United Front posted an article on its official website, saying (Eng. text by Google Translation):
Fast! There is no time difference to raise urgently needed materials! Some Overseas Chinese have used their professions in the field of medicine in order to purchase relevant materials Hubei province in short of supply (to send them to China). .... Some Overseas Chinese took advantage of the connection resources, opened green transportation channels through our embassies and consulates abroad, and their related enterprises, and quickly sent large quantities of medical supplies (to China), making this love relay link and cooperation seamless.
On Feb 18, Reuters reports that 3M is on the list of firms eligible for China loans to ease coronavirus crisis.
There is no indication from the list that loans offered will necessarily be sought, or that such firms are in any financial need. The Bank of Shanghai told Reuters it will lend 5.5 billion yuan ($786 million) to 57 firms on its list.
On Feb 21, Xi Jinping writes a thank-you letter to Bill Gates for his foundation’s support to China regarding COVID-19 outbreak.
On Feb 24, China was rumoured on Twitter to delay the phase one trade deal implementation indefinitely which includes the increase of China's purchasing American products & services by at least $200 billion over the next two years.
Also on Feb 24, S&P 500 Index started to drop. Opened with 3225.9 and closed 3128.2. By the Mar 23, it dropped to 2208.9.
Also on Feb 24, China's National Health Commission says the WHO experts have visited Wuhan city for the first time, the locked-down central Chinese city at the epicentre, inspecting two hospitals and a makeshift one at a sports centre.
On Feb 26, IF the picture that has been circulated on Twitter were real, then chief Chen Wei and her team have developed the first batch of COVID-19 vaccine within time frame of a month.
On the same day, the CDC's latest figures displays 59 people in the US who have tested positive for COVID-19.
Also on Feb 26, the Washington Post published an article that says:
.... the WHO said it has repeatedly asked Chinese officials for "disaggregated" data — meaning specific figures broken out from the overall numbers — that could shed light on hospital transmission and help assess the level of risk front-line workers face. "We received disaggregated information at intervals, though not details about health care workers," said Tarik Jasarevic of the WHO. — The comment, in an email on Feb 22 to the Post, was one of the first instances that the WHO had directly addressed shortcomings in China's reporting or handling of the coronavirus crisis.
On Feb 27, after missteps, the CDC says its test kit is ready and the US started to expand testing.
On Feb 28, China transferred more than 80,000 Uighurs to factories used by global brands such as Apple, Nike, & Volkswagen & among others.
Also on Feb 28, the WHO published the official report of the WHO-China joint mission on coronavirus disease 2019. (PDF)
On Feb 29, quoting Caixin media's investigation published on the same day, Lianhe Zaobao, the largest Singapore-based Chinese-language newspaper, published an article reporting the following:
Dr. Li Wenliang said in the interview with Caixin media; [in Dec 2019] another doctor (later turned out to be Dr. Ai Fen) examined and tried to treat a patient who exhibited SARS-like symptoms which akin to influenza resistant to conventional treatment methods. And "the family members who took care of her (the patient) that night also had a fever, and her other daughter also had a fever. This is obviously from person to person" Dr. Li said in the interview."
------------------------
On Mar 01, China's State Council super tighten up their already draconian internet law.
On the same day, Princelings published an propaganda called "A Battle Against Epidemic: China Combating COVID-19 in 2020" which compiles numerous state media accounts on the heroic leadership of Xi Jinping, the vital role of the Communist Party, and the superiority of the Chinese system in fighting the virus.
Starting on Mar 03, the US Fed has taken two significant measures to provide monetary stimulus. It's going to be no use as if a group of people with serious means are manipulating the markets to make sure MM will have liquidity concerns when they need it most.
On Mar 04, Xinhua News, China's official state-run press agency posted an article "Be bold: the world should thank China" which states that
If China retaliates against the US at this time, it will also announce strategic control over medical products, and ban exports of said products to the US. ... If China declares today that its drugs are for domestic use only, the US will fall into the hell of new coronavirus epidemic.
On Mar 05, Shanghai Index has recovered the coronavirus loss almost completely.
On Mar 07, Saudi's Ahmed bin Abdulaziz and Muhammad bin Nayef were arrested on the claims of plotting to overthrow King Salman. — Ahmed bin Abdulaziz is known to have very tight investment-interest relationship with Bill Gates, Bill Browder, Blackstone, & BlackRock: One common factor that connects these people is China.
On Mar 08, the Russia–Saudi oil price war has begun. The ostensible reason was simple: China, the biggest importer of oil from Saudi and Russia, was turning back tankers while claiming that the outbreak forced its economy to a standstill.
On Mar 10, the Washington Post published the article saying that the trade group for manufacturers of personal protective equipment urged in 2009 "immediate action" to restock the national stockpile including N95 masks, but it hasn't been replenished since.
On Mar 11, the gentleman at the WHO declares the coronavirus outbreak a "Global Pandemic." He called on governments to change the course of the outbreak by taking "urgent and aggressive action." This was a full twelve days after the organization published the official report regarding the situation in China.
On Mar 13, the US admin declared a National Emergency and announced the plan to release $50 billion in federal resources amid COVID-19.
Also on Mar 13, China's Ministry of Commerce states that China is now the best region for global investment hedging.
On Mar 15, Business Insider reports that Trump tried to poach German scientists working on a coronavirus vaccine and offered cash so it would be exclusive to the US. The problem is the official CureVac (the German company) twitter account, on Mar 16, 2020, tweeted the following:
To make it clear again on coronavirus: CureVac has not received from the US government or related entities an offer before, during and since the Task Force meeting in the White House on March 2. CureVac rejects all allegations from press.
On Mar 16, the fan club of European globalists has published a piece titled, "China and Coronavirus: From Home-Made Disaster to Global Mega-Opportunity." The piece says:
The Chinese method is the only method that has proved successful [in fighting the virus], is a message spread online in China by influencers, including many essentially promoting propaganda. ... it is certainly a message that seems to be resonating with opinion leaders around the world.
On the same day, unlike China that had one epicentre, Wuhan city, the US now overtakes China with most cases reporting multiple epicentres simultaneously.
Also on Mar 16, the US stocks ended sharply lower with the Dow posting its worst point drop in history. But some showed a faint hint of uncertain hope.
On Mar 17, according to an article on Chinese version of Quora, Zhihu, chief Chen Wei and her team with CanSino Biologics officially initiated a Phase-1 clinical trial for COVID-19 vaccine at the Wuhan lab, Hubei China, which Bloomberg News confirmed. — Click HERE, then set its time period as 1 year, and see when the graph has started to move up.
Also on Mar 17, China's state media, China Global TV Network (CGTN), has produced YouTube videos for Middle Eastern audiences to spread the opinion that the US has engineered COVID-19 events.
Also on Mar 17, Al Jazeera reported that the US President has been criticized for repeatedly referring to the coronavirus as the "Chinese Virus" as critics saying Trump is "fueling bigotry."
• China's Xinhua News tweeted "Racism is not the right tool to cover your own incompetence."
• Tucker Carlson asked: "Why would America's media take China's side amid coronavirus pandemic?"
• Also, Mr. Bill Gates: "We should not call this the Chinese virus."
On Mar 19, for the first time, China reports zero local infections.
Also on Mar 19, Al Jazeera published an analysis report, titled "Coronavirus erodes Trump's re-election prospects."
On Mar 22, Bloomberg reports that China's mobile carriers lost 21 million users during this pandemic event. It's said to be the first net decline since starting to report monthly data in 2000.
On Mar 26, EURACTV reports that China cashes in off coronavirus, selling Spain $466 million in supplies. However, Spain returns 9,000 "quick result" test kits to China, because they were deemed substandard. — Especially the sensibility of the test was around 30 percent, when it should be higher than 80 percent.
------------------------
On Apr 03, Germany and other governments are bolstering corporate defenses to address worries that coronavirus-weakened companies could be easy prey for bargain hunting by China's state owned businesses.
On Apr 05, New York Times says "Trump Again Promotes Use of Unproven Anti-Malaria Drug (hydroxychloroquine)."
On Apr 06, a Democratic State Rep. Karen Whitsett from Detroit credits hydroxychloroquine and President Trump for "saving her in her battle with the coronavirus."
On Apr 07, the US CDC removed the following part from its website.
Although optimal dosing and duration of hydroxychloroquine for treatment of COVID-19 are unknown, some U.S. clinicians have reported anecdotally different hydroxychloroquine dosing such as: 400mg BID on day one, then daily for 5 days; 400 mg BID on day one, then 200mg BID for 4 days; 600 mg BID on day one, then 400mg daily on days 2-5.
------------------------
☞ If there were ever a time for people not to be partisan and tribal, the time has come: We need to be ever vigilant and attentive to all kinds of disinformation & misinformation to see it better as well as to be sharp in our lives. — We really do need to come together.
☞ At first, I was going to draw up a conspiracy theory-oriented list focused on Team-Z, especially Mr. Gates. However, although it's nothing new tbh, recently many chats and discussions seem overflowing with disinformation & misinformation which is, in my opinion, particularly painful at a time like this. Hence, this post became a vanilla list that's just recorded the notable events. — We all are subject to misinformation, miscalculation, and misjudgment. But the clearer the picture becomes the better we can identify Funkspiel.
------------------------
Immediate Aftermath pt.2.a
------------------------
Feasible Timeline of the Operation
------------------------
☞ Go Back to the Short Story.
----
submitted by vanillabluesea to conspiracy [link] [comments]

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✅TP1 116.86 (close 1/2 lot. Move SL to entry)
✅TP2 116.47 (take some partial)
✅TP3 116.11 (close trade)
❌SL 117.527
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submitted by Rudenko to PriceAction_FxSignals [link] [comments]

The World This Week 10th July 2020 – 17th July 2020

Indian Equity Summary-
· Sensex ended higher by 1.2 percent as the bullish trend persisted for the fifth consecutive week in the domestic equity market ,on the back ofØ positive global cues and optimism over the development of Covid-19 vaccine .The focus is now turning to Q1FY21 earning season and more importantly for guidance and viewpoints of management.
· Going forward, global factors like development on the US -China relationship front , any resurgence of Covid-19 cases globally, as economiesØ have started opening up ; will continue to dictate the trend of the domestic equity market. We expect the trading range for Nifty between 10800-11200 in the near term.
Indian Debt Market-
· The bond prices fell as the yield on the latest 10-year benchmark 5.79% 2030 paper settled at 5.80% on Jul 17 compared with 5.76% on Jul 10.Ø
· Reserve Bank of India announces the auction of three Government of India 91day, 182 day and 364 day Treasury Bills for an aggregate amount ofØ ₹35,000, to be conducted on 22nd July 2020.
· State Governments announced to sell securities by way of an auction to be conducted on 21th July 2020, for an aggregate face value of ₹ 9,000 Cr.Ø
· We expect that RBI will be in wait and watch mood before taking any major decision of rate cut on the back of recent inflation print.Ø
· We expect the 10 year benchmark yield to trade between 5.80-6.05% in near term.Ø
Domestic News
· India’s retail trade has suffered a business loss of about Rs 15.5 lakh crore in past 100 days due to the COVID-19 pandemic as per theØ Confederation of All India Traders (CAIT).
· The Foreign Direct Investment (FDI) from the US to India has crossed the $40 billion mark as on year to date, reflecting the growing confidence ofØ American companies in the country.
· Forex reserves rose by $3.1 billion on a WoW basis to hit a record high of $516.36 billion for the week ended July 10, according to Reserve BankØ of India (RBI).
· According to the latest data released by the Ministry of StatisticsØ & Programme Implementation (MoSPI), India’s retail inflation(CPI) grew to 6.09% in the month of June as against the prior released figure of 5.84 in April for the month of March.
International News
· Hong Kong's April-June unemployment rises to 6.2%, being the highest in over 15 years.Ø
· Japan’s exports plunged 26.2% in June while Imports fell by 14.4% in June on a year on year basis , as per the data released byØ Ministry of Finance (MOF).
· Foreign direct investment (FDI) into China fell 1.3% in the first half of this year from a year earlier to 472.18 billion yuan ($67.47Ø billion)as per China’s commerce ministry.
· Gross domestic product (GDP) of China rose to 3.2% in the second-quarter from a year earlier as per the National Bureau ofØ Statistics, faster than the 2.5% forecast by analysts in a Reuters poll, with the easing of lockdown measures and ramping up of stimulus by policymakers to combat the virus-led downturn.
· US GDP is expected to contract by an annualised rate of 37% in the Q2 2020 and by 6.6%for 2020 as a whole as per theØ International Monetary Fund (IMF) staff.
Link - http://www.karvywealth.com/data/sites/1/skins/karvywealth/Download_media_report.aspx?FileName=B98EB615-C7D5-409D-AFF1-05C92C06DBE4|5234282
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submitted by wealthadvisor22 to u/wealthadvisor22 [link] [comments]

Wall Street Week Ahead for the trading week beginning April 15th, 2019

Hey what's happening wallstreetbets! Good morning and happy Saturday to all of you on this subreddit. I hope everyone made out pretty nicely in the market last week, and are ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning April 15th, 2019.

Some optimistic corporate outlooks in the week ahead could lift the stock market to a record - (Source)

It’s now up to corporate America to reveal whether the U.S. economy simply hit a soft patch this winter, as many suspect, or is on the verge of falling into an even deeper rut.
Earnings from a broad swath of industries, like financials, technology, transportation and consumer products roll out in the coming week as the first-quarter earnings season gets underway. According to Refinitiv, earnings are expected to decline 2.3 percent in the first negative quarter in three years, but it is business leaders’ comments on the future outlook that are even more important.
Commentary and guidance is always a big deal, but this quarter it is critical. Analysts do not agree on whether the first quarter earnings season represents the trough, or even whether the second quarter will see a gain or decline in profit growth.
At the same time, economic data, like March’s jobs report, are beginning to turn more positive, and first quarter growth has quickly gone from forecasts of nearly flattish back in January to now around 2%, on the back of better March releases. The economic data has been uneven, in part because of the government shutdown, but it has yet to prove the economy is back on track.
“The market has been very sensitive to data that’s been picking up. The market is reflecting that, even though there’s talk of an earnings recession. What you don’t want is an earnings recession leading to an economic recession. If companies believe there’s a major downturn in revenue growth, they stop spending and ultimately they fire people and that leads to a recession,” said Quincy Krosby, chief market strategist at Prudential Financial.
The stock market is also at an important inflection point, with the major indexes closing in on all-time highs. The S&P 500 pressed through 2,900 Friday, seen as a point of psychological resistance. The S&P ended the week at 2,907, for a weekly gain of 0.5%. The next target traders are watching is the closing high 2,930 on the S&P. The all-time high was an intraday 2,940, reached on Sept. 21.
Earnings season got off to a good start with J.P. Morgan Chase’s quarterly earnings report Friday. CEO Jamie Dimon was very positive, saying the U.S. economy’s expansion “could go on for years.”
“If you look at the American economy, the consumer is in good shape, balance sheets are in good shape, people are going back to the workforce, companies have plenty of capital,” Dimon told analysts during a conference call. J.P. Morgan stock rose sharply, after its record profits beat analysts’ expectations.
“Positive guidance, that’s what the market needs. [The S&P] could cross 2,900, but then again it could pull back,” said Krosby, but she said the momentum has been pointing higher. “The market has basically been endorsing 2,900 and beyond.”
Krosby said important upcoming economic reports include Empire State and Philadelphia Fed surveys Monday and Thursday respectively, for a current look at manufacturing activity in New York and the Mid-Atlantic region. There is also industrial production and retail sales Tuesday.
“Jobs data was strong. Everybody was really negative on the economy, and now we’re getting pleasant surprises,” said Marc Chandler, Bannockburn Global Forex chief market strategist. The economy added 196,000 jobs in March, bringing the monthly average to 180,000 over the past three months, even with February’s shockingly low 33,000 payrolls.
Chandler said industrial production and other data should show an improved trend over last month.
As stocks have shaken off growth fears, bond yields have also moved higher. The 10-year Treasury note was yielding 2.55% Friday, well above the lows of 2.34% reached on March 28.

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 this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR CHART LINK #1!)
(CLICK HERE FOR CHART LINK #2!)

Typical April Trading: Mid-Month Surge Stronger Second Half

Over the recent 21 years April is the top-ranked month for DJIA. April ranks #3 S&P 500, #5 for NASDAQ, #2 for Russell 1000 and #4 for Russell 2000. Average gains over the period range from a low of 1.19% by NASDAQ to a respectable 2.29% by DJIA. The first half of April used to outperform the second half, but since 1994 that has no longer been the case. In fact the second half of April is stronger over the recent 21-year period.
Early April trading is usually positive for the first 4 days then flattens off until mid-month. Then the market tends to surge from the tenth to the fifteenth trading days. DJIA tends to close out the month strongest with NASDAQ closing weakest.
Except for DJIA weighed down by Boeing (BA), stocks are having an above average month so far, which is quite typical in Pre-Election years where April has tended to be even stronger.
(CLICK HERE FOR THE CHART!)

Claims Bode Well For Equities

Earlier today on our Twitter account, we retweeted a chart from Bloomberg's Joe Weisenthal of inverted Jobless Claims versus the S&P 500. We have used this chart as an argument for the bullish case for the past several years. As we mentioned in a blog post this morning, Initial Jobless Claims came in earlier this week with a sizable drop off, down to 196K versus last week's revised 204K and expectations of 210K. This week's print was not only a new low for the current cycle, it is also the lowest reading since 1969. That sort of new low could be a good sign for equities. As shown in the chart below, claims and the S&P have mirrored each other since bottoming following the financial crisis. (In the chart, we have inverted claims on the right axis.) As the S&P 500 inches its way back towards all time highs, so has claims towards new lows. Additionally, with recent low prints for claims bucking what had previously appeared to be an upside trend reversal, the bullish case for the S&P 500 is growing.
(CLICK HERE FOR THE CHART!)

Optimism Growing Again

The American Association of Individual Investors updated their weekly investor sentiment survey this morning and the results are very similar to the final days of February with bullish sentiment around 40%, bearish down near 20%, and neutral once again in the upper 30's. Up from 35.02% last week, bullish sentiment has crossed back over the 40% threshold; the first time it has done so since the previously mentioned week in February. While bullish sentiment is sitting a couple of points above the historical average, this is still several percentage points from reaching any sort of extreme level (more than one standard deviation above the aforementioned average). For that to happen, bullish sentiment would have to come in above 48.36%. If that occurs, then it could be a sign that investors are getting a little too optimistic.
(CLICK HERE FOR THE CHART!)
Bearish sentiment, on the other hand, fell all the way back down to 20.38% this week, the lowest since its 20% reading on February 28th. That is around 10% less than the historical average for bearish sentiment. That is also at the lower end of the range bearish sentiment has stayed within in the past decade.
(CLICK HERE FOR THE CHART!)
Neutral sentiment has still yet to have moved above or below the upper 30's coming in at 39.33% this week after falling from similar levels down to 36.71% last week. That is the third time in the past month that neutral sentiment has come in between 39% and 40%.
(CLICK HERE FOR THE CHART!)

The December Low Indicator Has Bulls Smiling

After the best first quarter for the S&P 500 Index since 1998, the big question is: What happens next? We’ve already discussed why a good start to a year could lead to more gains (here and here), but today we will take a look at another potentially positive signal.
The December Low Indicator was created in the 1970s by Lucien Hooper, a former Forbes columnist and Wall Street analyst. Simply put, the indicator says that if the S&P 500 closes beneath the December low during the first quarter, it’s a warning sign for potential weakness over the balance of the year. The flipside is if it doesn’t, good times could be coming. Given the S&P 500 just went all of the first quarter without closing beneath the December 24 low, it’s worth taking a deeper dive.
Sure enough, there appears to be some truth to this concept. “The December low indicator seems quite simple, but it has a tremendous track record,” explained LPL Senior Market Strategist Ryan Detrick. “When the S&P 500 stays above the December lows throughout the first quarter, the full year has been higher an incredible 34 out of the last 34 times, which bodes well for 2019.” In fact, this warning even worked last year, as it triggered in the first quarter of 2018 and eventually played out during the big fourth quarter sell-off.
As our LPL Chart of the Day shows, when the S&P 500 stays above the December lows in the first quarter, the full year does quite well.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for April 12th, 2019

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: Are Stocks Going UP Next Week? | Earnings Season Kick-Off! | ShadowTrader Video 04.14.19

(CLICK HERE FOR THE YOUTUBE VIDEO!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $NFLX
  • $BAC
  • $C
  • $GS
  • $UNH
  • $JNJ
  • $APHA
  • $PIXY
  • $SCHW
  • $MTB
  • $PGR
  • $IBM
  • $ABT
  • $MS
  • $PEP
  • $BLK
  • $CMA
  • $TEAM
  • $CSX
  • $KMI
  • $AA
  • $URI
  • $ERIC
  • $WIT
  • $KSU
  • $UAL
  • $PLD
  • $ASML
  • $USB
  • $BK
  • $TXT
  • $FHN
  • $JBHT
  • $ISRG
  • $PNFP
  • $PIR
  • $LVS
  • $MLNX
  • $MBWM
  • $CCI
  • $SKX
  • $BMI
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MONDAY MORNING'S MOST NOTABLE 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 4.15.19 Before Market Open:

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

Monday 4.15.19 After Market Close:

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

Tuesday 4.16.19 Before Market Open:

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

Tuesday 4.16.19 After Market Close:

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

Wednesday 4.17.19 Before Market Open:

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

Wednesday 4.17.19 After Market Close:

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

Thursday 4.18.19 Before Market Open:

([CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
N/A.

Thursday 4.18.19 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
N/A.

Friday 4.19.19 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF GOOD FRIDAY).

Friday 4.19.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE. (U.S. MARKETS CLOSED IN OBSERVANCE OF GOOD FRIDAY).

Netflix, Inc. $351.14

Netflix, Inc. (NFLX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.57 per share on revenue of $4.49 billion and the Earnings Whisper ® number is $0.60 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat The company's guidance was for earnings of approximately $0.56 per share. Consensus estimates are for earnings to decline year-over-year by 10.94% with revenue increasing by 21.32%. Short interest has increased by 10.5% since the company's last earnings release while the stock has drifted lower by 0.2% from its open following the earnings release to be 4.2% above its 200 day moving average of $336.83. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 7,925 contracts of the $400.00 call expiring on Thursday, April 18, 2019. Option traders are pricing in a 4.3% move on earnings and the stock has averaged a 5.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Bank of America Corp. $30.17

Bank of America Corp. (BAC) is confirmed to report earnings at approximately 6:45 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $0.65 per share on revenue of $23.29 billion and the Earnings Whisper ® number is $0.67 per share. Investor sentiment going into the company's earnings release has 69% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 4.84% with revenue decreasing by 14.11%. Short interest has decreased by 25.1% since the company's last earnings release while the stock has drifted higher by 7.3% from its open following the earnings release to be 5.3% above its 200 day moving average of $28.66. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, April 9, 2019 there was some notable buying of 32,141 contracts of the $27.00 put and 32,059 contracts of the $32.00 call expiring on Friday, August 16, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Citigroup, Inc. $67.42

Citigroup, Inc. (C) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $1.78 per share on revenue of $18.71 billion and the Earnings Whisper ® number is $1.84 per share. Investor sentiment going into the company's earnings release has 58% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 5.95% with revenue decreasing by 22.15%. Short interest has decreased by 12.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 3.2% above its 200 day moving average of $65.31. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, March 29, 2019 there was some notable buying of 17,657 contracts of the $59.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.3% move on earnings and the stock has averaged a 2.3% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Goldman Sachs Group, Inc. $207.84

Goldman Sachs Group, Inc. (GS) is confirmed to report earnings at approximately 7:40 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $4.74 per share on revenue of $8.97 billion and the Earnings Whisper ® number is $5.21 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 31.80% with revenue decreasing by 10.62%. Short interest has increased by 9.7% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 0.1% below its 200 day moving average of $208.02. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 6,817 contracts of the $220.00 call and 5,555 contracts of the $195.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.7% move on earnings and the stock has averaged a 3.1% move in recent quarters.

(CLICK HERE FOR THE CHART!)

UnitedHealth Group, Inc. $223.22

UnitedHealth Group, Inc. (UNH) is confirmed to report earnings at approximately 5:55 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $3.59 per share on revenue of $59.66 billion and the Earnings Whisper ® number is $3.66 per share. Investor sentiment going into the company's earnings release has 72% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 18.09% with revenue increasing by 8.10%. Short interest has decreased by 1.1% since the company's last earnings release while the stock has drifted lower by 10.7% from its open following the earnings release to be 13.4% below its 200 day moving average of $257.63. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 4,190 contracts of the $227.50 call and 3,732 contracts of the $227.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.0% move on earnings and the stock has averaged a 3.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Johnson & Johnson $135.98

Johnson & Johnson (JNJ) is confirmed to report earnings at approximately 6:40 AM ET on Tuesday, April 16, 2019. The consensus earnings estimate is $2.03 per share on revenue of $19.63 billion and the Earnings Whisper ® number is $2.06 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.46% with revenue decreasing by 1.89%. Short interest has decreased by 22.0% since the company's last earnings release while the stock has drifted higher by 6.1% from its open following the earnings release to be 1.0% above its 200 day moving average of $134.65. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, April 8, 2019 there was some notable buying of 1,510 contracts of the $170.00 call expiring on Friday, January 17, 2020. Option traders are pricing in a 1.9% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Aphria Inc. $10.10

Aphria Inc. (APHA) is confirmed to report earnings at approximately 7:05 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.04 per share on revenue of $41.11 million. Investor sentiment going into the company's earnings release has 70% expecting an earnings beat. Short interest has decreased by 26.9% since the company's last earnings release while the stock has drifted higher by 57.1% from its open following the earnings release. On Thursday, April 11, 2019 there was some notable buying of 1,595 contracts of the $9.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 6.9% move on earnings and the stock has averaged a 5.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

ShiftPixy, Inc. $1.20

ShiftPixy, Inc. (PIXY) is confirmed to report earnings at approximately 8:00 AM ET on Monday, April 15, 2019. The consensus estimate is for a loss of $0.10 per share on revenue of $14.84 million. Investor sentiment going into the company's earnings release has 59% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 11.11% with revenue increasing by 88.16%. Short interest has decreased by 14.8% since the company's last earnings release while the stock has drifted lower by 34.8% from its open following the earnings release to be 54.0% below its 200 day moving average of $2.61. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 27.8% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Charles Schwab Corp. $45.35

Charles Schwab Corp. (SCHW) is confirmed to report earnings at approximately 8:45 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $0.66 per share on revenue of $2.70 billion and the Earnings Whisper ® number is $0.68 per share. Investor sentiment going into the company's earnings release has 61% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 20.00% with revenue increasing by 12.59%. Short interest has decreased by 5.4% since the company's last earnings release while the stock has drifted lower by 0.7% from its open following the earnings release to be 3.8% below its 200 day moving average of $47.14. Overall earnings estimates have been revised lower since the company's last earnings release. On Wednesday, April 10, 2019 there was some notable buying of 3,000 contracts of the $43.50 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 2.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

M&T Bank Corp $167.76

M&T Bank Corp (MTB) is confirmed to report earnings at approximately 6:35 AM ET on Monday, April 15, 2019. The consensus earnings estimate is $3.29 per share on revenue of $1.50 billion and the Earnings Whisper ® number is $3.35 per share. Investor sentiment going into the company's earnings release has 48% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 11.90% with revenue decreasing by 2.65%. Short interest has decreased by 2.4% since the company's last earnings release while the stock has drifted higher by 5.6% from its open following the earnings release to be 1.6% above its 200 day moving average of $165.09. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, April 12, 2019 there was some notable buying of 841 contracts of the $165.00 put expiring on Thursday, April 18, 2019. Option traders are pricing in a 3.3% move on earnings and the stock has averaged a 3.0% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week ahead?
Have a fantastic Sunday and a great trading week ahead to everyone here on wallstreetbets!
submitted by bigbear0083 to wallstreetbets [link] [comments]

What factors predict the success of a Steam game? (An analysis)

What factors predict the success of a Steam game?

I've seen quite a few discussions, comments and questions on /gamedev about what determines a game's success. How much does quality matter? Is establishing market awareness before launch the only thing that matters? Does a demo help or hurt? If your game has a poor launch, how likely is it to recover? Is it possible to roughly predict the sales of a game before launch?
In preparation for my game's launch, I spent a lot of time monitoring upcoming releases trying to find the answer to these questions. I compiled a spreadsheet, noted followers, whether it was Early Access or not, and saw how many reviews it received in the first week, month and quarter.
I'm sharing this data now in the hopes that it helps other developers understand and predict their games' sales.
First some notes on the data:
Game Price Launch Discount Week Guess Week actual 3 Month 3 Month/week Followers Early Access Demo Review Score
Pit of Doom 9.99 0 7 27 43 1.592592593 295 Y N 0.8
Citrouille 9.99 0.2 16 8 12 1.5 226 N N
Corspe Party: Book 14.99 0.1 32 40 79 1.975 1015 N N 0.95
Call of Cthulhu 44.99 0 800 875 1595 1.822857143 26600 N N 0.74
On Space 0.99 0.4 0 0 0 4 N N
Orphan 14.99 0 50 0 8 732 N N
Black Bird 19.99 0 20 13 34 2.615384615 227 N N
Gloom 6.99 0 20 8 17 2.125 159 N N
Gilded Rails 5.99 0.35 2 3 7 2.333333333 11 N Y
The Quiet Man 14.99 0.1 120 207 296 1.429951691 5596 N N 0.31
KartKraft 19.99 0.1 150 90 223 2.477777778 7691 Y N 0.84
The Other Half 7.99 0 2 3 27 9 91 N Y 0.86
Parabolus 14.99 0.15 0 0 0 16 N Y
Yet Another Tower Defense 1.99 0.4 20 22 38 1.727272727 396 N N 0.65
Galaxy Squad 9.99 0.25 8 42 5.25 3741 Y N 0.87
Swords and Soldiers 2 14.99 0.1 65 36 63 1.75 1742 N N 0.84
SpitKiss 2.99 0 3 1 2 2 63 N N
Holy Potatoes 14.99 0 24 11 22 2 617 N N 0.7
Kursk 29.99 0.15 90 62 98 1.580645161 2394 N N 0.57
SimpleRockets 2 14.99 0.15 90 142 272 1.915492958 3441 Y N 0.85
Egress 14.99 0.15 160 44 75 1.704545455 7304 Y N 0.67
Kynseed 9.99 0 600 128 237 1.8515625 12984 Y N 0.86
11-11 Memories 29.99 0 30 10 69 6.9 767 N N 0.96
Rage in Peace 12.99 0.1 15 10 42 4.2 377 N N 0.85
One Hour One Life 19.99 0 12 153 708 4.62745098 573 N N 0.81
Optica 9.99 0 0 2 3 1.5 18 N N
Cybarian 5.99 0.15 8 4 18 4.5 225 N N
Zeon 25 3.99 0.3 3 11 12 1.090909091 82 Y N
Of Gods and Men 7.99 0.4 3 10 18 1.8 111 N Y
Welcome to Princeland 4.99 0.1 1 15 55 3.666666667 30 N N 0.85
Zero Caliber VR 24.99 0.1 100 169 420 2.485207101 5569 Y N 0.73
HellSign 14.99 0 100 131 334 2.549618321 3360 Y N 0.85
Thief Simulator 19.99 0.15 400 622 1867 3.001607717 10670 N N 0.81
Last Stanza 7.99 0.1 8 2 4 2 228 N Y
Evil Bank Manager 11.99 0.1 106 460 4.339622642 8147 Y N 0.78
Oppai Puzzle 0.99 0.3 36 93 2.583333333 54 N N 0.92
Hexen Hegemony 9.99 0.15 3 1 5 5 55 Y N
Blokin 2.99 0 0 0 0 0 10 N N
Light Fairytale Ep 1 9.99 0.1 80 23 54 2.347826087 4694 Y N 0.89
The Last Sphinx 2.99 0.1 0 0 1 0 17 N N
Glassteroids 9.99 0.2 0 0 0 0 5 Y N
Hitman 2 59.99 0 2000 2653 3677 1.385978138 52226 N N 0.88
Golf Peaks 4.99 0.1 1 8 25 3.125 46 N N 1
Sipho 13.99 0 24 5 14 2.8 665 Y N
Distraint 2 8.99 0.1 40 104 321 3.086538462 1799 N N 0.97
Healing Harem 12.99 0.1 24 10 15 1.5 605 N N
Spark Five 2.99 0.3 0 0 0 0 7 N N
Bad Dream: Fever 9.99 0.2 30 78 134 1.717948718 907 N N 0.72
Underworld Ascendant 29.99 0.15 200 216 288 1.333333333 8870 N N 0.34
Reentry 19.99 0.15 8 24 78 3.25 202 Y N 0.95
Zvezda 5.99 0 2 0 0 0 25 Y Y
Space Gladiator 2.99 0 0 1 2 2 5 N N
Bad North 14.99 0.1 500 360 739 2.052777778 15908 N N 0.8
Sanctus Mortem 9.99 0.15 3 3 3 1 84 N Y
The Occluder 1.99 0.2 1 1 1 1 13 N N
Dark Fantasy: Jigsaw 2.99 0.2 1 9 36 4 32 N N 0.91
Farming Simulator 19 34.99 0 1500 3895 5759 1.478562259 37478 N N 0.76
Don't Forget Our Esports Dream 14.99 0.13 3 16 22 1.375 150 N N 1
Space Toads Mayhem 3.99 0.15 1 2 3 1.5 18 N N
Cattle Call 11.99 0.1 10 19 53 2.789473684 250 Y N 0.71
Ralf 9.99 0.2 0 0 2 0 6 N N
Elite Archery 0.99 0.4 0 2 3 1.5 5 Y N
Evidence of Life 4.99 0 0 2 4 2 10 N N
Trinity VR 4.99 0 2 8 15 1.875 61 N N
Quiet as a Stone 9.99 0.1 1 1 4 4 42 N N
Overdungeon 14.99 0 3 86 572 6.651162791 77 Y N 0.91
Protocol 24.99 0.15 60 41 117 2.853658537 1764 N N 0.68
Scraper: First Strike 29.99 0 3 3 15 5 69 N N
Experiment Gone Rogue 16.99 0 1 1 5 5 27 Y N
Emerald Shores 9.99 0.2 0 1 2 2 12 N N
Age of Civilizations II 4.99 0 600 1109 2733 2.464382326 18568 N N 0.82
Dereliction 4.99 0 0 0 0 #DIV/0! 18 N N
Poopy Philosophy 0.99 0 0 6 10 1.666666667 6 N N
NOCE 17.99 0.1 1 3 4 1.333333333 35 N N
Qu-tros 2.99 0.4 0 3 7 2.333333333 4 N N
Mosaics Galore. Challenging Journey 4.99 0.2 1 1 8 8 14 N N
Zquirrels Jump 2.99 0.4 0 1 4 4 9 N N
Dark Siders III 59.99 0 2400 1721 2708 1.573503777 85498 N N 0.67
R-Type Dimensions Ex 14.99 0.2 10 48 64 1.333333333 278 N N 0.92
Artifact 19.99 0 7000 9700 16584 1.709690722 140000 N N 0.53
Crimson Keep 14.99 0.15 20 5 6 1.2 367 N N
Rival Megagun 14.99 0 35 26 31 1.192307692 818 N N
Santa's Workshop 1.99 0.1 3 1 1 1 8 N N
Hentai Shadow 1.99 0.3 2 12 6 14 N N
Ricky Runner 12.99 0.3 3 6 13 2.166666667 66 Y N 0.87
Pro Fishing Simulator 39.99 0.15 24 20 19 0.95 609 N N 0.22
Broken Reality 14.99 0.1 60 58 138 2.379310345 1313 N Y 0.98
Rapture Rejects 19.99 0 200 82 151 1.841463415 9250 Y N 0.64
Lost Cave 19.99 0 3 8 11 1.375 43 Y N
Epic Battle Fantasy 5 14.99 0 300 395 896 2.26835443 4236 N N 0.97
Ride 3 49.99 0 75 161 371 2.304347826 1951 N N 0.74
Escape Doodland 9.99 0.2 25 16 19 1.1875 1542 N N
Hillbilly Apocalypse 5.99 0.1 0 1 2 2 8 N N
X4 49.99 0 1500 2638 4303 1.63115997 38152 N N 0.7
Splotches 9.99 0.15 0 2 1 0.5 10 N N
Above the Fold 13.99 0.15 5 2 6 3 65 Y N
The Seven Chambers 12.99 0.3 3 0 0 #DIV/0! 55 N N
Terminal Conflict 29.99 0 5 4 11 2.75 125 Y N
Just Cause 4 59.99 0 2400 2083 3500 1.680268843 50000 N N 0.34
Grapple Force Rena 14.99 0 11 12 29 2.416666667 321 N Y
Beholder 2 14.99 0.1 479 950 1.983298539 16000 N N 0.84
Blueprint Word 1.99 0 12 15 1.25 244 N Y
Aeon of Sands 19.99 0.1 20 12 25 2.083333333 320 N N
Oakwood 4.99 0.1 32 68 2.125 70 N N 0.82
Endhall 4.99 0 4 22 42 1.909090909 79 N N 0.84
Dr. Cares - Family Practice 12.99 0.25 6 3 8 2.666666667 39 N N
Treasure Hunter 16.99 0.15 200 196 252 1.285714286 4835 N N 0.6
Forex Trading 1.99 0.4 7 10 14 1.4 209 N N
Ancient Frontier 14.99 0 24 5 16 3.2 389 N N
Fear the Night 14.99 0.25 25 201 440 2.189054726 835 Y N 0.65
Subterraneus 12.99 0.1 4 0 3 #DIV/0! 82 N N
Starcom: Nexus 14.99 0.15 53 119 2.245283019 1140 Y N 0.93
Subject 264 14.99 0.2 25 2 3 1.5 800 N N
Gris 16.9 0 100 1484 4650 3.133423181 5779 N N 0.96
Exiled to the Void 7.99 0.3 9 4 11 2.75 84 Y N
Column Explanations
For the columns that are not self-explanatory:

Question 1: Does Quality Predict Success?

There was a recent blog post stating that the #1 metric for indie games' success is how good it is.
Quality is obviously a subjective metric. The most obvious objective measure of quality for Steam games is their % Favorable Review score. This is the percentage of reviews by purchasers of the game that gave the game a positive rating. I excluded any game that did not have at least 20 user reviews in the first month, which limited the sample size to 56.
The (Pearson) correlation of a game's review score to its number of reviews three months after its release was -0.2. But 0.2 (plus or minus) isn't a very strong correlation at all. More importantly, Pearson correlation can be swayed if the data contains some big outliers. Looking at the actual games, we can see that the difference is an artifact of an outlier. Literally. Valve's Artifact by far had the most reviews after three months and had one of the lowest review scores (53% at the time). Removing this game from the data changed the correlation to essentially zero.
Spearman's Rho, an alternative correlation model that correlates rank position and minimizes the effect of huge outliers produced a similar result.
Conclusion: If there is correlation between a game's quality (as measured by Steam review score) and first quarter sales (as measured by total review count), it is too subtle to be detected in this data.

Question 2: Do Demos, Early Access or Launch Discounts Affect Success/Failure?

Unfortunately, there were so few games that had demos prior to release (10) that only a very strong correlation would really tell us anything. As it happens, there was no meaningful correlation one way or another.
There were more Early Access titles (28), but again the correlation was too small to be meaningful.
More than half the titles had a launch week discount and there was actually a moderate negative correlation of -0.3 between having a launch discount and first week review count. However it appears that this is primarily the result of the tendency of AAA titles (which sell the most copies) to not do launch discounts. Removing the titles that likely grossed over a $1 million in the first week reduced the correlation to basically zero.
Conclusion: Insufficient data. No clear correlation between demos, Early Access or launch discount and review counts: if they help or hurt the effect is not consistent enough to be seen here.

Question 3: Does pre-launch awareness (i.e., Steam followers) predict success?

You can see the number of "followers" for any game on Steam by searching for its automatically-created Community Group. Prior to launch, this is a good rough indicator of market awareness.
The correlation between group followers shortly before launch and review count at 3 months was 0.89. That's a very strong positive correlation. The rank correlation was also high (0.85) suggesting that this wasn't the result of a few highly anticipated games.
Save for a single outlier (discussed later), the ratio of 3 month review counts to pre-launch followers ranged from 0 (for the handful of games that never received any reviews) to 1.8, with a median value of 0.1. If you have 1000 followers just prior to launch, then at the end of the first quarter you should expect "about" 100 reviews.
One thing I noticed was that there were a few games that had follower counts that seemed too high compared to secondary indicators of market awareness, such as discussion forum threads and Twitter engagement. After some investigation I came to the conclusion that pre-launch key activations are treated as followers by Steam. If a game gave away a lot of Steam keys before launch (say as Kickstarter rewards or part of beta testing) this would cause the game to appear to have more followers than it had gained "organically."
Conclusion: Organic followers prior to launch are a strong predictor of a game's eventual success.

Question 4: What about price?

The correlation between price and review count at 3 month is 0.36, which is moderate correlation. I'm not sure how useful that data point is: it is somewhat obvious that higher budget games have larger marketing budgets.
There is a correlation between price and review score of -0.41. It seems likely that players do factor price into their reviews and a game priced at $60 has a higher bar to clear to earn a thumbs up review than a game priced at $10.

Question 5: Do first week sales predict first quarter results?

The correlation between number of reviews after 1 week and number of reviews after 3 months was 0.99. The Spearman correlation was 0.97. This is the highest correlation I found in the data.
Excluding games that sold very few copies (fewer than 5 reviews after the first week), most games had around twice as many reviews after 3 months as they did after 1 week. This suggests that games sell about as many copies in their first week as they do in the next 12 weeks combined. The vast majority of games had a tail ratio (ratio of reviews at 3 months to 1 week) of between 1.3 to 3.2.
I have seen a number of questions from developers whose game had a poor launch on Steam and wanted to know what they can do to improve sales. While I'm certain post-launch marketing can have an effect on continuing sales, your first week does seem to set hard bounds on your results.
Conclusion: ALL SIGNS POINT TO YES

Question 6: Does Quality Help with a Game's "Tail"?

As discussed in the last question while first week sales are very strongly correlated with first quarter, there's still quite a wide range of ratios. Defining a game's Tail Ratio as the ratio of reviews after 3 months to after 1 week, the lowest value was 0.95 for "Pro Fishing Simulator" which actually managed to lose 1 review. The highest ratio was 6.9, an extreme outlier that I'll talk about later. It is perhaps not a coincidence that the worst tail had a Steam score of 22% and the best tail had a Steam score of 96%.
The overall correlation between the Tail Ratio and Steam score was 0.42.
Conclusion: Even though there is no clear correlation between quality and overall review count/sales, there is a moderate correlation between a game's review score and its tail. This suggests that "good games" do better in the long run than "bad games," but the effect is small compared to the more important factor of pre-launch awareness.

Question 7: Is it possible to predict a game's success before launch without knowing its wishlists?

While I was compiling the data for each game, sometime prior to its scheduled launch date, I would make a prediction of how many reviews I thought it would receive in its first week and add that prediction to the spreadsheet.
The #1 factor I used in making my prediction was group follower count. In some cases I would adjust my prediction if I thought that value was off, using secondary sources such as Steam forum activity and Twitter engagement.
The correlation between my guess and the actual value was 0.96, which is a very strong correlation. As you can see in the data, the predictions are, for the most part, in the right ballpack with a few cases where I was way off.
Based on my experience, multiplying the group follower count by 0.1 will, in most cases, give you a ballpark sense of the first week quarter review count. If a game doesn't have at least one question in the discussion forum for every 100 followers, that may indicate that there are large number of "inorganic" followers and you may need to adjust your estimate.
Conclusion: Yes, with a few exceptions, using follower data and other indicators you can predict first week results approximately. Given the strong correlation between first week and quarter sales, it should also be possible to have a ballpark idea of first quarter results before launch.

Final Question: What about the outliers you mentioned?

There were a few games in the data that stood out significantly in one way or another.
Outlier #1: Overdungeon. This game had 77 group followers shortly before launch, a fairly small number and based solely on that number I would have expected fewer than a dozen reviews in the first week. It ended up with 86. Not only that, it had a strong tail and finished its first quarter with 572 reviews. This was by a wide margin the highest review count to follower ratio in the sample.
Based on the reviews, it appears to basically be Slay the Spire, but huge in Asia. 90% of the reviews seem to be in Japanese or Chinese. If anyone has some insight to this game's unusual apparent success, I'm very curious.
This seems to be the only clear example in the data of a game with minimal following prior to launch going on to having a solid first quarter.
Outlier #2: 11-11 Memories Retold. This game had 767 group followers shortly before launch, ten times as many as Overdungeon. That's still not a large number for even a small indie title. It had a fair amount going for it, though: it was directed by Yoan Fanise, who co-directed the critally acclaimed Valiant Hearts, a game with a similar theme. It was animated by Aardman Studios of "Wallace and Gromit" fame. Its publisher was Bandai Namco Europe, a not inexperienced publisher. The voice acting was by Sebastian Koch and Elijah Wood. It has dozens of good reviews in both gaming and traditional press. It currently has a 95% positive review rating on Steam.
Despite all that, nobody bought it. 24 hours after it came out it had literally zero reviews on Steam. One week after it came out it had just 10. Three months later it had demonstrated the largest tail in the data, but even then it had only climbed to 69 reviews. Now it's at about 100, an incredible tail ratio, but almost certainly a commercial failure.
This is a solid example that good game + good production values does necessarily equal good sales.

Final notes:
The big take-aways from this analysis are:
Thanks for reading!
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