Double Bottom Pattern: A Trader’s Guide

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

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]

GBP/USD POTENTIAL +3.4% UPSIDE

THE BRITISH POUND SURGES FROM THE ASHES WITH A BULL MARUBUZO, AFTER A DOJI DRAGONFLY CANDLESTICK, ON THE BACK OF STRONGER THAN EXPECTED CPI DATA, SIGNAL THAT UK CONSUMERS HAVE BEEN SPENDING, WHILE THE POSSIBILITY OF THE UK ECONOMY REBOUNDING DECENTLY, GIVEN ALSO THE POTENTIAL AVAILABILITY OF A UK MADE VACCINE READY TO BE DEPLOYED IN WINTER Q4.THE GBP/USD CHART HINTS TO FEW TECHNICAL POINTS THAT SUPPORT THE BUY SIGNAL IN THE BRITISH POUND: THE RSI(14) OSCILLATOR MOVES HIGHER ON A DOUBLE BOTTOM PATTERN, THE ICHIMOKU TENKAN LINE PROVIDES SUPPORT, WHILE ALSO HAVING MOVED THROUGH THE IKH KIJUN LINE AS A BUY SIGNAL, FURTHERMORE CLEARING OFF THE GBP/USD 1.2698 200 DAYS MOVING AVERAGE CAN EVENTUALLY GIVE A CONSISTENT BUY SIGNAL WITH CONCRETE MARKET POSSIBILITY OF CABLE MOVING TOWARD GBP/USD 1.30 IN A +3.0%.HAVING SAID THAT, WORTH TO NOTICE THAT IN THE LONGER TERM, A PERMANENT BUY SIGNAL FOR THE POUND WOULD REQUIRE A FLOOR EXCHANGE RATE OF GBP/USD 1.40 AND ABOVE, THEREOF A SHORT TERM UPSIDE MOVE +3.0% TO GBP/USD 1.30 DOES NOT PROVIDE A LONGER HORIZON FORECAST; IN SO A CONSISTENT CHANGE IN THE BRITISH WILL REQUIRE AN OVERALL LONGER TERM CHANGE IN MARKET POSITIONING AMONG ASSETS MANAGERS/INSTITUTIONAL INVESTORS AND LEVERAGED FUND THAT HAVE HEAVILY SKEWED POSITION SHORT ON GBP/USD. IN FACT FOR AN OVERALL 105 MOST RELEVANT FOREX MARKETS INVESTORS, 57 BETWEEN ASSETS MANAGERS/INSTITUTIONAL AND LEVERAGE FUNDS ARE CONSISTENTLY SHORT ON THE BRITISH POUND FOR AN OVERALL 128,805 CONTRACTS IN A TOTAL 180,969 CONTRACTS.

Technical Indicators

NameValueAction
RSI(14)60.081Buy
STOCH(9,6)76.362Buy
STOCHRSI(14)99.545Overbought
MACD(12,26)0.005Buy
ADX(14)25.732Neutral
Williams %R-6.794Overbought
CCI(14)101.9183Buy
ATR(14)0.0104Less Volatility
Highs/Lows(14)0.0092Buy
Ultimate Oscillator56.632Buy
ROC1.808Buy
Bull/Bear Power(13)0.0109Buy
Buy: 8 Sell: 0 Neutral: 1
Summary:STRONG BUY

Moving Averages

PeriodSimpleExponential
MA51.2595
Buy
1.2588
Buy
MA101.2557
Buy
1.2556
Buy
MA201.2484
Buy
1.2524
Buy
MA501.2442
Buy
1.2476
Buy
MA1001.2426
Buy
1.2522
Buy
MA2001.2704
Sell
1.2605
Buy
Buy: Sell:
Summary:BUY

from Blogger https://ift.tt/32r2Lm1
via IFTTT
submitted by lucas8282 to STOCKMARKETNEWS [link] [comments]

Looking back 18 months.

I was going through old emails today and came across this one I sent out to family on January 4, 2018. It was a reflection on the 2017 crypto bull market and where I saw it heading, as well as some general advice on crypto, investment, and being safe about how you handle yourself in cryptoland.
I feel that we are on the cusp of a new bull market right now, so I thought that I would put this out for at least a few people to see *before* the next bull run, not after. While the details have changed, I don't see a thing in this email that I fundamentally wouldn't say again, although I'd also probably insist that people get a Yubikey and use that for all 2FA where it is supported.
Happy reading, and sorry for some of the formatting weirdness -- I cleaned it up pretty well from the original email formatting, but I love lists and indents and Reddit has limitations... :-/
Also, don't laught at my token picks from January 2018! It was a long time ago and (luckliy) I took my own advice about moving a bunch into USD shortly after I sent this. I didn't hit the top, and I came back in too early in the summer of 2018, but I got lucky in many respects.
----------------------------------------------------------------------- Jan-4, 2018
Hey all!
I woke up this morning to ETH at a solid $1000 and decided to put some thoughts together on what I think crypto has done and what I think it will do. *******, if you could share this to your kids I’d appreciate it -- I don’t have e-mail addresses, and it’s a bit unwieldy for FB Messenger… Hopefully they’ll at least find it thought-provoking. If not, they can use it as further evidence that I’m a nutjob. 😉
Some history before I head into the future.
I first mined some BTC in 2011 or 2012 (Can’t remember exactly, but it was around the Christmas holidays when I started because I had time off from work to get it set up and running.) I kept it up through the start of summer in 2012, but stopped because it made my PC run hot and as it was no longer winter, ********** didn’t appreciate the sound of the fans blowing that hot air into the room any more. I’ve always said that the first BTC I mined was at $1, but looking back at it now, that’s not true – It was around $2. Here’s a link to BTC price history.
In the summer of 2013 I got a new PC and moved my programs and files over before scrapping the old one. I hadn’t touched my BTC mining folder for a year then, and I didn’t even think about salvaging those wallet files. They are now gone forever, including the 9-10BTC that were in them. While I can intellectually justify the loss, it was sloppy and underlines a key thing about cryptocurrency that I believe will limit its widespread adoption by the general public until it is addressed and solved: In cryptoland, you are your own bank, and if you lose your password or account number, there is no person or organization that can help you reset it so that you can get access back. Your money is gone forever.
On April 12, 2014 I bought my first BTC through Coinbase. BTC had spiked to $1000 and been in the news, at least in Japan. This made me remember my old wallet and freak out for a couple of months trying to find it and reclaim the coins. I then FOMO’d (Fear Of Missing Out”) and bought $100 worth of BTC. I was actually very lucky in my timing and bought at around $430. Even so, except for a brief 50% swing up almost immediately afterwards that made me check prices 5 times a day, BTC fell below my purchase price by the end of September and I didn’t get back to even until the end of 2015.
In May 2015 I bought my first ETH at around $1. I sent some guy on bitcointalk ~$100 worth of BTC and he sent me 100 ETH – all on trust because the amounts were small and this was a small group of people. BTC was down in the $250 range at that point, so I had lost 30-40% of my initial investment. This was of the $100 invested, so not that much in real terms, but huge in percentages. It also meant that I had to buy another $100 of BTC on Coinbase to send to this guy. A few months after I purchased my ETH, BTC had doubled and ETH had gone down to $0.50, halving the value of my ETH holdings. I was even on the first BTC purchase finally, but was now down 50% on the ETH I had bought.
The good news was that this made me start to look at things more seriously. Where I had skimmed white papers and gotten a superficial understanding of the technology before FOMO’ing, I started to act as an investor, not a speculator. Let me define how I see those two different types of activity:
So what has been my experience as an investor? After sitting out the rest of 2015 because I needed to understand the market better, I bought into ETH quite heavily, with my initial big purchases being in March-April of 2016. Those purchases were in the $11-$14 range. ETH, of course, dropped immediately to under $10, then came back and bounced around my purchase range for a while until December of 2016, when I purchased a lot more at around $8.
I also purchased my first ICO in August of 2016, HEAT. I bought 25ETH worth. Those tokens are now worth about half of their ICO price, so about 12.5ETH or $12500 instead of the $25000 they would be worth if I had just kept ETH. There are some other things with HEAT that mean I’ve done quite a bit better than those numbers would suggest, but the fact is that the single best thing I could have done is to hold ETH and not spend the effort/time/cost of working with HEAT. That holds true for about every top-25 token on the market when compared to ETH. It certainly holds true for the many, many tokens I tried to trade in Q1-Q2 of 2017. In almost every single case I would have done better and slept better had I just held ETH instead of trying to be smarter than Mr. Market.
But, I made money on all of them except one because the crypto market went up more in USD terms than any individual coin went down in ETH or BTC terms. This underlines something that I read somewhere and that I take to heart: A rising market makes everyone seem like a genius. A monkey throwing darts at a list of the top 100 cryptocurrencies last year would have doubled his money. Here’s a chart from September that shows 2017 year-to-date returns for the top 10 cryptocurrencies, and all of them went up a *lot* more between then and December. A monkey throwing darts at this list there would have quintupled his money.
When evaluating performance, then, you have to beat the monkey, and preferably you should try to beat a Wall Street monkey. I couldn’t, so I stopped trying around July 2017. My benchmark was the BLX, a DAA (Digital Asset Array – think fund like a Fidelity fund) created by ICONOMI. I wasn’t even close to beating the BLX returns, so I did several things.
  1. I went from holding about 25 different tokens to holding 10 now. More on that in a bit.
  2. I used those funds to buy ETH and BLX. ETH has done crazy-good since then and BLX has beaten BTC handily, although it hasn’t done as well as ETH.
  3. I used some of those funds to set up an arbitrage operation.
The arbitrage operation is why I kept the 11 tokens that I have now. All but a couple are used in an ETH/token pair for arbitrage, and each one of them except for one special case is part of BLX. Why did I do that? I did that because ICONOMI did a better job of picking long-term holds than I did, and in arbitrage the only speculative thing you must do is pick the pairs to trade. My pairs are (No particular order):
I also hold PLU, PLBT, and ART. These two are multi-year holds for me. I have not purchased BTC once since my initial $200, except for a few cases where BTC was the only way to go to/from an altcoin that didn’t trade against ETH yet. Right now I hold about the same 0.3BTC that I held after my first $100 purchase, so I don’t really count it.
Looking forward to this year, I am positioning myself as follows:
Looking at my notes, I have two other things that I wanted to work into this email that I didn’t get to, so here they are:
  1. Just like with free apps and other software, if you are getting something of value and you didn’t pay anything for it, you need to ask why this is. With apps, the phrase is “If you didn’t pay for the product, you are the product”, and this works for things such as pump groups, tips, and even technical analysis. Here’s how I see it.
    1. People don’t give tips on stocks or crypto that they don’t already own that stock or token. Why would they, since if they convince anyone to buy it, the price only goes up as a result, making it more expensive for them to buy in? Sure, you will have friends and family that may do this, but people in a crypto club, your local cryptocurrency meetup, or online are generally not your friends. They are there to make money, and if they can get you to help them make money, they will do it. Pump groups are the worst of these, and no matter how enticing it may look, stay as far away as possible from these scams. I even go so far as to report them when I see them advertise on FB or Twitter, because they are violating the terms of use.
    2. Technical analysis (TA) is something that has been argued about for longer than I’ve been alive, but I think that it falls into the same boat. In short, TA argues that there are patterns in trading that can be read and acted upon to signal when one must buy or sell. It has been used forever in the stock and foreign exchange markets, and people use it in crypto as well. Let’s break down these assumptions a bit.
i. First, if crypto were like the stock or forex markets we’d all be happy with 5-7% gains per year rather than easily seeing that in a day. For TA to work the same way in crypto as it does in stocks and foreign exchange, the signals would have to be *much* stronger and faster-reacting than they work in the traditional market, but people use them in exactly the same way.
ii. Another area where crypto is very different than the stock and forex markets centers around market efficiency theory. This theory says that markets are efficient and that the price reflects all the available information at any given time. This is why gold in New York is similar in price to gold in London or Shanghai, and why arbitrage margins are easily <0.1% in those markets compared to cryptoland where I can easily get 10x that. Crypto simply has too much speculation and not enough professional traders in it yet to operate as an efficient market. That fundamentally changes the way that the market behaves and should make any TA patterns from traditional markets irrelevant in crypto.
iii. There are services, both free and paid that claim to put out signals based on TA for when one should buy and sell. If you think for even a second that they are not front-running (Placing orders ahead of yours to profit.) you and the other people using the service, you’re naïve.
iv. Likewise, if you don’t think that there are people that have but together computerized systems to get ahead of people doing manual TA, you’re naïve. The guys that I have programming my arbitrage bots have offered to build me a TA bot and set up a service to sell signals once our position is taken. I said no, but I am sure that they will do it themselves or sell that to someone else. Basically they look at TA as a tip machine where when a certain pattern is seen, people act on that “tip”. They use software to see that “tip” faster and take a position on it so that when slower participants come in they either have to sell lower or buy higher than the TA bot did. Remember, if you are getting a tip for free, you’re the product. In TA I see a system when people are all acting on free preset “tips” and getting played by the more sophisticated market participants. Again, you have to beat that Wall Street monkey.
  1. If you still don’t agree that TA is bogus, think about it this way: If TA was real, Wall Street would have figured it out decades ago and we would have TA funds that would be beating the market. We don’t.
  2. If you still don’t agree that TA is bogus and that its real and well, proven, then you must think that all smart traders use them. Now follow that logic forward and think about what would happen if every smart trader pushing big money followed TA. The signals would only last for a split second and would then be overwhelmed by people acting on them, making them impossible to leverage. This is essentially what the efficient market theory postulates for all information, including TA.
OK, the one last item. Read this weekly newsletter – You can sign up at the bottom. It is free, so they’re selling something, right? 😉 From what I can tell, though, Evan is a straight-up guy who posts links and almost zero editorial comments.
Happy 2018.
submitted by uetani to CryptoCurrency [link] [comments]

Weekly Forex & Crypto Analysis by PrimeXBT

Weekly Forex & Crypto Analysis by PrimeXBT
The week has started and was led by the only title and header around all economic news which is “US-China trade wars”.
US-China trade wars in general had its effect on all markets, including cryptocurrency. The United States wants to tighten cryptocurrency use and claimed that it’s been used by smugglers and drug-dealers and pointed out that most of the transactions are made in China.
This week BTC tried to break $10500 on Monday, August 26th and was rejected, the price then was floating between $10400-10300 and continued the correction down to $10027. Uncertainty in the BTC has ended when the price hit $10400 again and showed a massive drop to $9366. We will point out several reasons of this week’s drop. The drop could be a result of an update in the US when rumors on crypto-currency taxation became real. Several notes sent by the IRS to crypto-currency holders pushed some investors to get rid of the BTC and led to a major sell.
The Wright and Kleiman case brings another reason to worry about. If Kleiman family surely inherited billions of $ worth of Bitcoin, then they should declare IRS the quantity and pay state taxes. Most probably, when these BTC’s received if they exist, the Kleiman family will sell them, which will result another drop-down of BTC.
CME Exchange’s futures contracts for Bitcoin is expiring today, though the Exchange showed a record-high $515M daily trading volume in May, futures expiry date gave extra-strength to sellers.
The price by the time published is traded at $9608 per BTC, from the technical point of view the price still has to find greater grounds for another massive jump.
https://preview.redd.it/8f0tliwapnj31.png?width=1468&format=png&auto=webp&s=64a5214d8a583bd7b7f3dcdd5f3de63290697050
Though we can see that a double-bottom pattern in 1-hour chart and most likely BTC will test $9750
https://preview.redd.it/vib20xqcpnj31.png?width=1468&format=png&auto=webp&s=06b1a9de59c8c76ecc447b5e2b0a8d506a79c12b
CME Exchange will continue to offer Bitcoin futures which is a positive sign for the cryptocurrency and announcement of the release of ICE-backed Bakkt Bitcoin futures in September 23 could be that pump to get the price above $10K.

Now let’s move to Forex market

The pair to watch this week and the next week is EURUSD.
Economy of Germany which EU's locomotive and other countries are cars, has showed a slight 0.1% decrease in the second quarter of 2019 related to the previous quarter. We can never deny the fact that the EU union with all its economy and power of its currency is completely dependent to the economic well-being of Germany. If the third quarter of this year doesn't show mercy to Germany's economy or Germany doesn't change policies to not only stabilize but improve the economy, the EU should prepare well for recession.
Not only economic state of Germany but rumors and news and overall hype over Brexit and Italy's economic crisis are considered to be a sinker of Euro against USD. For Euro to gain power and for EURUSD to show an uptrend again, firstly all rumors and preparations on recession should be reduced to nothing and EU states should do the needful to prevent the new economic crisis.
This week’s economic data from Germany was not positive, IFO Business Climate was below forecasted 95.1 and 94.3 was announced, German GDP was -0.1. These were news which weakened the European currency, although the worst scenario was yet to come. Thursday, August 29 Germany made an announced on the unemployment, and the number was four times higher than on the previous unemployment change, 4K. Since the announcement EURUSD was showing downwards movement and plummeted to 1.0990
If no signs of progress are shown next week, especially if the German Manufacturing PMI numbers don’t show positive, the price will continue downtrend to 1.0950 and find the next support at 1.0850
https://preview.redd.it/cso52ruepnj31.png?width=1468&format=png&auto=webp&s=21e4bdfed18b0bcce872b8714efa4d5d8fdc8b71
The political tension between EU and UK, US and China last week showed us more-or-less unpredictable movements in US, China, HK, EU, UK stock market indices. Since the “trade-war” begun and US applying higher tariffs on Chinese goods and China taking counter-action the only gainers of these back-to-back pokes were Gold and Silver. Gold showed one more time that it’s the most trusted asset to invest. The price hit $1555 highs this week and is now showing signs of short-term correction being traded at $1526. Major Investment institutions such as UBS and Citigroup look positive on Golds new summit ascents. Mainly UBS has stated that the next week the price could reach $1600.
From the technical point we can see that the price is trying to break the barrier at 1530, and is still unlucky.
https://preview.redd.it/huvtsyugpnj31.png?width=1468&format=png&auto=webp&s=9ccae0383301cabe7b0b479bde81b72cee5aa81c
This could mean that if the support at $1520 is broken, the correction will continue to $1515 and $1507.
If the downtrend is impulsive the price will reach $1494, where it will find support and another upwards move shall be expected.
https://preview.redd.it/oyzz33oipnj31.png?width=1468&format=png&auto=webp&s=1ae2f71cb0fece2770bcff716bd59d39e7a9245d
At the other hand, confirmation of Gold’s uptrend move will be breaking of resistance at $1530 where the price shall face a mile-stone of resistances at 1545-1563-1571.
From the Global prospective we should follow the upcoming Manufacturing PMI’s announcements of Germany and the US, US Non-Farm payrolls and Unemployment rates. Pay a very close attention to announcements of these three states Australia, UK and Canada, as well. Report prepared by analysts from PrimeXBT.
submitted by Esabellaason to PrimeXBT [link] [comments]

Learning Bitcoin Trading? Here's some Basic Technical Analysis Tools & Essential Knowledge to help!

Getting Started
Back when I was learning more about Forex trading, I went to Forex school at Babypips (http://www.babypips.com/school), and learnt some of the fundamentals of chart reading and trading, such as reading candles and trading concepts. Unfortunately, I dropped out somewhere through Elementary School, after they lost me with all kinds of different indicators I could not see the use for. On the other hand, I still do think Babypips is a fantastic resource, especially for beginners who are keen to learn how to trade and better understand the Bitcoin market.
More recently, since I made my first few panic buys and sells and lost some Bitcoins trading, I have been picking up again on Technical Analysis and Trading strategies. I’m not an expert at this, and neither should you take my words as investment advice, but I’m here to share some of my thoughts on Bitcoin trading, and I hope it is of great help to you!
If you have any questions, feel free to tweet me at @onemanatatime.
Learn the Basics of Trading
If you’re a beginner trader, first thing you should learn is to read charts. Chart patterns (http://www.investopedia.com/university/charts/charts1.asp) signal to traders that the price of a security is likely to move in one direction or another when the pattern is complete. I’d like to bring your attention three chart patterns that will appear very often. I also took the time to show you how these relate to Bitcoin trading with the charting tools I use on TradingView (https://www.tradingview.comonemanatatime). Enjoy!
Secondly, another analysis tool I think is very useful, is the Fibonacci Extension (http://www.youtube.com/watch?v=dsomgrotZUg). Fibonacci is pretty tough to understand, and more so to chart with Bitcoin due to the lack of available tools which allow for it. But in essence, the Fibonacci sequence is a unique string of numbers which adds the sum of the two numbers before it, and is the deravitive of the Golden Ratio. People like to call them the “magic” numbers, and very aptly so, as they’re present all throughout Nature.
Lastly, I’d like to share a trading pattern called the Elliott Wave Principle (http://en.wikipedia.org/wiki/Elliott_wave_principle). It emphasizes an understanding of Investor Psychology, and explains why prices fluctuate in zig-zag patterns. If you thought Fibonacci was tough to understand, let’s have Babypips put this in perspective. Babypips teaches Fibonacci in Elementary school Grade 3, whereas Elliott Wave is taught in “Summer School”. In that sense, Eliott Wave would be a great concept to learn and understand, as a supplement to your foundational understanding. Click on the links above to read and learn more about both theories!
Bitcoin Trading
By now, you’d probably be saying: “Sure, these resources all give me a good basic understanding of trading markets, but how does that apply to Bitcoin?” Since learning the fundamentals, I’ve been looking around for good resources to learn Bitcoin Trading from but with not much luck. Here I’ll be sharing some handy videos to guide you on your Bitcoin trading journey.
I didn’t get around to learning proper Bitcoin trading strategies, until early December when I chanced upon ...
Abstract from my personal blog post on www.CryptoCoinsNews.com and on www.AlunaCrypto.blogspot.com.
http://www.cryptocoinsnews.com/2014/01/08/embarking-bitcoin-trading-journey-learn-basic-technical-analysis/
http://alunacrypto.blogspot.nl/2014/01/embarking-on-my-bitcoin-trading-journey.html
Click the links to read the rest of the post, including past Bitcoin price analysis examples, as well as today's prediction.
EDIT:
I've been asked a few times about which platform I'm using day trade on Bitcoin. So here's for those of you interested:
"I use BitFinex, they offer Margin Trading and Liquidy Swaps ontop of a normal Exchange.
I just started yesterday but its great and I'm so excited about the Margin Trading options available, and been playing around with it all day long! Made 0.11 BTC on my first trade. ;)
Sign up with my referral code now and enjoy 10% off your trading fees for the first 30 days!
With Referral Code: [REMOVED -- ask me for referral code to enjoy offer] Without Referral Code: https://www.bitfinex.com/
Also follow me on twitter @onemanatatime for my latest Bitcoin predictions. Cheers & trade safe."
submitted by bakedric3 to BitcoinMarkets [link] [comments]

A few thoughts - Thursday, August 14, 2014

Good afternoon! A few thoughts for lunch today:

Buttercoin development team fired

As you can see at https://github.com/buttercoin/buttercoin/issues/71, all developers for buttercoin, an open source exchange project that begin in the wake of the April 2013 crash, were fired yesterday. There is little explanation for the firing, but this should come as no surprise.
Buttercoin has been vaporware for a year, and for good reason. A few days after Mt Gox caused that crash, some people decided that they were going to create a "better" exchange. They were correct in recognizing that it isn't that technically difficult or groundbreaking to create a bitcoin exchange, but they were completely irrational in believing that they could create an open-source exchange when the primary cost for exchanges is dealing with banks and lawyers.
The project was later granted funding by venture capitalists, but now appears to have failed.

Bottom continues to fall out

The bottom continues to fall out of the market. I remain bearish, as I have for a month, and have earned about 25% in the flair game. I think it became clear on July 24, judging by the perfect timing of the first fall in this bear market, that something needed to happen by that time or else people would start to lose faith. My opinion is that the current situation is a continued crisis of confidence. More and more people will decide to cut their losses and get out. This situation is more concerning than the Chinese bans from earlier in the year, because people will find a way around bans to do things they want to do. For example, while I abhor the idea, prostitution thrives even though it is illegal in most areas.
There's a great article that discusses why companies like Pantera are incorrect in their indices of bitcoin growth, and I agree with the author. The argument is that pageviews of bitcoin articles are not relevant to price growth. People who read Wikipedia are trying to find out more about bitcoins, but apparently many of them are disinterested by what they find. This would be in line with my idea that the only way that bitcoins fail is because, for whatever reason, people don't find them useful.
There is some interest about how the Chinese wikipedia article on bitcoin has seen a tremendous increase in visitors this week, but viewers does not equal buyers.
I still hold that transaction volume is the fundamental indicator that people should watch to see when things are going to turn around. If transaction volume increases, then the price needs to go up to support the increased volume.
Falling prices could be a self-sustaining cycle. If the price drops to $200 at the next low, then the ETFs that are being evaluated will have less of a chance at being accepted. It would be very easy at that point for governments to say that bitcoins are not a real asset, that their days are numbered, and that the fund is too risky. The denial of the ETFs would then cause further fallout, creating a negative feedback loop.

Looking at the dates of previous cycles

Obviously, moral_agent's charts have lost predictive potential for absolute prices (not that I predicted absolute prices anyway). In terms of timing, however, which I've always considered as the most important indicator of those charts, we are actually pretty far along in this cycle if the high occurred earlier than expected in early June. If we overlay this cycle on top of the last cycle, we are already approaching the period where Mt Gox crashed. Time flies when we're having fun.
Supporting this idea that the change in fundamentals might have destroyed the lower boundary but not the periodicity of the chart, you can see that what is happening now is very similar to the downside of every bubble that came before: a stepladder pattern of a few days of low volatility followed by another crash.
I think that moral_agent has made a mistake in continuing to draw the chart by considering the present activity as part of the last cycle. If he drew the chart instead to indicate that the cycle ended months ago, then the usual downward spike to the absolute bottom would occur about 2 months from now, so there would be two months of this stepladder before the final fallout. Then there would be another month of stagnation like that which occurred in May, and the uptrend would begin during the holidays. If the shorter period of the last cycle indicated that cycle length is decreasing, then subtract a month from these figures.
Finally, despite much criticism, even after everything that is happening now, I still hold to the idea that news does not determine the cycle; fundamentals and sentiment do. You can see that there is loads of good news, and the price is freefalling. During downward cycles, people ignore the good news. Did you know that DiSH network bitcoin acceptance began today?

Ethereum posts budget

While I still disapprove of the way that Ethereum is holding huge portions of its coins for development activities, the developers did post a budget that goes far beyond what other projects in this area have been doing. They stated who they would be paying, for which services, and when. They also posted how many bitcoins they plan to save for future expenses. This is a laudable effort.
On the other hand, some of their spending is questionable. For example, they are spending huge sums of money on security deposits for three offices around the world. For an organization that doesn't have a product, the overhead of three separate offices seems a bit out of line. Blockchain.info pays all of their employees to work from home all around the world. If they have to have offices (which I've never found to increase productivity anyway), then I certainly don't know of any startup company that has more than one office.
Perhaps it might be useful to have multiple offices in the future if the organization needs to be located near a partner, but doing so adds a lot of overhead and travel expenses and requires personnel to manage all the extra physical property. This spending seems like a poor choice when the money could instead be used to hire people to accomplish Ethereum's objectives.

What happens if an altcoin exchange fails?

Yesterday, there was concern that Cryptsy wasn't responding to tickets, E-Mails, and calls. Fortunately, it appears as if the problem was due to poor customer service, rather than bankruptcy. However, I wondered what the ramnifications would be if an altcoin exchange like Cryptsy were to fail.
When Mt Gox failed, it was a one-off event. People lost money, but others could point to the event as not representative of the underlying technology. If an altcoin exchange were to fail, then a one-off event becomes a pattern. People could question if there is something unique to digital currency that causes such exchanges to be inherently more risky than forex exchanges. They, of course, would be right: you need trading partners with multinational corporations to get into forex, but it isn't possible to regulate the hundreds of decentralized altcoins.
An altcoin exchange failure would be catastrophic for additional reasons. First, each exchange has coins that aren't traded anywhere else, so if that exchange were to fail, then those coins would be worthless. Second, the news itself would probably crash the value of every coin by double digits across all the other exchanges too, destroying a lot of value from the economy.

Other

submitted by quintin3265 to BitcoinThoughts [link] [comments]

[90% win] How to Trade Double Tops  double bottom pattern ... How To identify Double Bottom Chart Pattern In Forex? Double Bottom (Reversal) Stock Chart Pattern: Technical ... How To Buy Stocks: Double Bottom Chart Pattern - YouTube best price actionHow to Trade idea double bottom chart ... How to Trade Double Tops & Bottoms Chart Patterns How to Trade Double Top and Triple Top Reversal Chart ...

The confirmation line is drawn across the top of the double bottom pattern (see chart above). Often, after price penetrates the confirmation line, price will retrace for a short time, sometimes back to the confirmation line. This retracement offers a second chance to get into the market long. Volume also plays an important part of interpreting the Double Bottom pattern; this is illustrated in ... Double Bottom. The Double Bottom Reversal is a bullish chart pattern that indicates a probable upward trend. Visual Pattern. The pattern consists of two troughs following each other, with a peak inbetween them that shoudn't be very high but clearly defining the two troughs. It will look like the shape of a W. Interpretation The Double Bottom chart pattern strategy gives you a simple way to quantify risk because you can place your protective stop-loss slightly below the double bottom pattern. The double bottom pattern really gives you the opportunity to also trade with a tight stop loss, which is great as we always want to keep losses at a minimum. No chart pattern is more common in trading than the double bottom or double top.In fact, this pattern appears so often that it alone may serve as proof positive that price action is not as wildly ... Double Bottom. The Double Bottom Reversal is a bullish chart pattern that indicates a probable upward trend. Visual Pattern. The pattern consists of two troughs following each other, with a peak inbetween them that shoudn't be very high but clearly defining the two troughs. It will look like the shape of a W. Interpretation. If the upward line of the second trough breaks the peak inbetween the ... The chart above shows a double bottom pattern on an Apple Inc chart. The identification and appearance of the double bottom is the same for both forex and equity markets. This example shows the ... Double Bottom chart pattern is one of the most powerful, easy to understand & commonly found bullish reversal chart patterns. It can best be interpreted with volume movement during the two bottoms.

[index] [28811] [22623] [17656] [8443] [3724] [11574] [26815] [29826] [14059] [9115]

[90% win] How to Trade Double Tops double bottom pattern ...

In today's episode of let's talk stocks, we're going to cover some technical analysis basics. We'll talk about the double bottom stock chart pattern, which i... How to Trade Double Tops double bottom pattern trading Double Top Definition The double top is a chart pattern with two swing highs very close in price. Th... best price actionHow to Trade idea double bottom chart Pattern double bottom forex trading strategWelcome Friends to pakistan 's Biggest Technical Analysis ... When you're looking for the best stocks to buy, double-bottom bases can point to the beginning of serious share-price gains. The double bottom chart pattern ... The double bottom chart pattern is an inverse pattern of the double top – it is a reversal pattern that occurs after a downtrend. This means that when you see the pattern you will then look for ... How to Trade Double Top and Triple Top Reversal Chart Patterns Forex Trading A double top identification A double top occurs when the price reaches a high po... How to trade double tops and double bottoms the right way? You can call this the m and w trading strategy or chart pattern strategy, but its not what you use that matters, it's how you use it.

http://binary-optiontrade.matchkim.tk