Flexacoin Market Update: FXC/USD 40% rally rockets towards

When will we bottom out?

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

Where is Bitcoin Going and When?

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

Stock Market Crash

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

Economic Analysis of Bitcoin

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

Trading or Investing?

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

Technical Indicator Analysis of Bitcoin

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

Trend Definition Analysis of Bitcoin

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

Time Symmetry Analysis of Bitcoin

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

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]

r/Stocks Technicals Tuesday - Dec 25, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

r/Stocks Technicals Tuesday - Nov 27, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

r/Stocks Technicals Tuesday - Dec 11, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

r/Stocks Technicals Tuesday - Dec 04, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

r/Stocks Technicals Tuesday - Dec 18, 2018

Feel free to talk about technical analysis here (not argue against it), but before you ask any question make sure you see the following information:
Technical analysis (TA) uses historical price movements, real time data, indicators based on math and/or statistics, and charts; all of which help measure the trajectory of a security. TA can also be used to interpret the actions of other market participants and predict their actions:
Measure: Is the security's price trending, has it dipped or is it a falling knife? Interpret: Does the current price mean investors think it's undervalued or overvalued; when did they buy/sell more and why? Predict: If price reaches a certain point, will there be a rally or get rejected?
The main benefit to TA is that everything shows up in the price (commonly known as priced in): All news, investor sentiment, and changes to fundamentals are reflected in a security's price.
TA is best used for short term trading, but can also be used for long term.
Intro to technical analysis by Stockcharts chartschool and their article on candlesticks
Terminology
Useful indicators
Methods or Systems
Strategies: See the TA wiki here as this will be a work in progress, feel free to reply with your own strategy.
See our past daily discussions here. Also links for: Technicals Tuesday, Options Trading Thursday, and Fundamentals Friday.
submitted by AutoModerator to stocks [link] [comments]

The intelligent investors guide to cryptocurrency: Part 3b - Pricing and liquidity

*Introductions: I'm joskye. A cryptocurrency investor and SDC holder. *
...
Hi again. This is the third part in our ongoing series on how to trade better and determine intelligent investments in cryptocurrency for the future.
Part 3b continues where I left off with a discussion about price metrics specifically, what determines the price and the importance of liquidity:
...
The day traders:
As I mentioned in my previous article, as of writing almost every cryptocurrency is determined purely by speculative value.
Thus the absolute price of a given cryptocurrency is determined solely by the day traders and specifically the last price it was agreed that currency would be sold at with confirmation of that price by a buyer who bought it.
People say lots of things determine the price; marketcap, liquidity, value proposition, revenues generated by the coin, the number of said coin in circulation but ultimately it comes down to the number of buyers and number of sellers competing for that coin.
Perhaps the other thing is the size of said market relative to the money held by the players in it.
For instance in cryptocurrency Bitcoin is still the biggest player in the game. It carries a per unit price of $900 per coin. There are currently 16,090,137 (16 million) coins in circulation giving it a total marketcap value of [$900 x 16090137 =] $14481123300 or 14.48 billion USD.
Shadowcash looks even more meagre compared to the total cryptocurrency marketcap with only 0.048% of the total cryptocurrency sphere.
To any Shadowcash holders despairing at this point, relax. There are over 707 cryptocurrencies trading as of writing and SDC holds the 27th ranking in terms of market cap. In such a competitive field, filled with scams that's pretty good. Moreso when you consider that SDC is a legitimate technology and is currently probably very undervalued.
...
Lets look at the rich list for bitcoin:
Why did I just talk about this?
In cryptocurrency I see this happening on the markets all the time. Indeed market manipulation effects every single cryptocurrency eventually.
...
Market manipulation!
Large holders of valuable, high marketcap coins will often make multiple small volume purchases of less valuable, low marketcap coins. Often this will follow announcements regarding developments in that low marketcap coin.
Low volume buying in a market with low daily trading volume can gradually drive up the price attracting an influx of buyers into that coin; often they will make larger volume purchases of it which helps drive up the price much further. This will trigger a further chain of buyers experiencing FOMO (fear of missing out, detailed in Part 2) who will drive up the price even further. The price will pump. Often will smaller cap cryptocurrencies this may result in a sudden 20, 40, 60 or even +100% increase in value often over a very short time space (1-2 days, 1-2 weeks maximum).
The only way to discern if the sudden rise in coin value is due to pre-rigged market manipulation is to look at:
You are looking for organic, gradual growth based on a solid value proposition. Sudden large spikes in value should make you pause and wonder if it's worth waiting for a gradual correction (organic drop) in price before entering your buy order.
Do not fall for a pump and dump. Stick to the lessons covered in previous parts of this guide (especially part 3a and 2) and you will be much less likely to lose money in the long run trading and investing in cryptocurrencies.
...
The pattern of change on daily trading volume, the order book and liquidity:
Lets look at SDC and Bitcoin again. This time we are going to compare the daily trading volume (last 24 hours) in USD.
I'd just like to use this opportunity to point out and reinforce the idea that day traders not holders dictate the daily price of an asset. I'd also like to point out daily global trading volume on Forex is $4800 billion which makes Bitcoin a very small fish in the broader arena of global finance and trade i.e. Bitcoin is still very vulnerable to all the price manipulation tactics and liquidity issues I am going to be describing in this article by bigger players with richer pockets.
The daily trading volume also gives you an idea of how much fiat currency you can invest into a given cryptocurrency before you suddenly shift the price.
A sudden rise in coin price heavily out of proportion to the rise in daily trading volume should be the first sign to alert you to a pump & dump scam.
Daily trading volume should show a steady increase over time with sustained buy support at new price levels; this is a good marker of organic, sustainable growth.
...
For more detail you can now look at the depth chart:
The depth chart is very useful to know how much fiat currency is required to cause the spot price of a given cryptocurrency to rise or fall by a given amount.
NB the price of most cryptocurrencies is expressed in Bitcoin because it has the largest market cap and daily trading volume of all cryptocurrencies by a very large margin and because with a few exceptions (Ethereum, Monero) most cryptocurrencies do not have routes to directly purchase via fiat currency without first purchasing Bitcoin.
Liquidity is super important. People often complain about a market lacking liquidity but that is often because they are trading in fiat volumes which far exceed the daily trading fiat volumes of the cryptocurrency they are referring to. If you are investing or trading in a cryptocurrency, always factor in the your personal liquidity and need for liquidity relative to that of the cryptocurrency you are investing in. In other words don't expect to make a profit next day selling 'cryptocurrency x' if the size your single buy order composes >90% of the buy orders on the market for 'cryptocurrency x' that day (indeed in such a scenario be very prepared to sell at a loss next day if you absolutely have to)!
There are certain patterns on a depth chart that make me believe a significant, sustained price rise is imminent: One example occurs when there is a very large volume of buy orders (>25% of total buy volume within 5% of current price) very close to the current (spot) price, and a very large number of sell orders close to but significantly above the spot price (approx 25% total sell volume within 10% of current price) and especially if the total buy order volume is a significantly higher percentage than it has previously been. This simply indicates high demand at current price which may soon outstrip supply. Again I stress that these patterns can be manipulated easily by wealthy traders.
...
The order book is another way of looking at the depth chart and allows you to see the specific transactions occurring that compose daily trading volume by the second!
I find it useful because it allows me to identify:
...
The price charts:
Discussions about price charts could be endless. I'm not going to go into too much detail, mostly because I'm an investor who believes the value proposition, good consistent development, decent marketing and communications will ultimately trump spot prices and adverse (or positive) short term price trends in the future.
...
The news cycle:
...
Other interesting points: The 'coin x' scenario and the ridiculousness of marketcap:
'Coin X' is an imaginary hypothetical coin. There are only 10 in circulation. It has no value proposition beyond it's speculative value i.e. it will never generate a revenue independent of it's speculative value.
I'd like to point out the similarities between ZCash and 'coin x' (especially during it's launch).
...
Lessons:
...
Finally why am I writing this?
I mean I just spoke openly about how SDC and indeed any cryptocurrencies (or purely speculative assets) price can be manipulated in the short term.
Well SDC has an incredible value proposition that could generate and attract large amounts of non-speculative fiat currency into it's ecosystem. I already covered that in part 3a (https://www.reddit.com/Shadowcash/comments/5lhh6m/the_intelligent_investors_guide_to_cryptocurrency/).
For this reason I think the short term speculative pump and dumps in SDC will eventually be replaced by a more sustained, larger buy support. I suspect this will occur when the marketplace is released and certain other announcements are released.
For this reason I declare my opinion that Shadowcash is the best cryptocurrency investment of 2016 and I believe it will be again by March 2017.
...
References:
1. Coinmarketcap rankings: https://coinmarketcap.com/all/views/all/ 2. Coinmarketcap daily trading volumes https://coinmarketcap.com/currencies/volume/24-hou 3. Bitinfocharts - Top 100 Richest Bitcoin addresses: https://bitinfocharts.com/top-100-richest-bitcoin-addresses.html 4. Crypto ID - Shadowcash Rich list: https://chainz.cryptoid.info/sdc/#!rich 
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Disclaimer: All prices and values given are as of time of writing (Midday 08-Jan-2016). I am not responsible for your financial decisions, nor am I advising you take a particular financial position. Rather I am sharing my experiences and hoping you form your own opinions and insights from them. Full disclosure: I have long positions in Ethereum (ETH), Shadowcash (SDC), ICONOMI (ICN), Augur (REP) and Digix (DGD).
submitted by joskye to Shadowcash [link] [comments]

The intelligent investors guide to cryptocurrency: Part 3b - Pricing and liquidity

*Introductions: I'm joskye. A cryptocurrency investor and holder. *
...
 
Hi again. This is the third part in our ongoing series on how to trade better and determine intelligent investments in cryptocurrency for the future.
 
 
Part 3b continues where I left off with a discussion about price metrics specifically, what determines the price and the importance of liquidity:
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The day traders:
 
As I mentioned in my previous article, as of writing almost every cryptocurrency is determined purely by speculative value.
 
 
For instance in cryptocurrency Bitcoin is still the biggest player in the game. It carries a per unit price of $900 per coin. There are currently 16,090,137 (16 million) coins in circulation giving it a total marketcap value of [$900 x 16090137 =] $14481123300 or 14.48 billion USD.
 
 
Shadowcash looks even more meagre compared to the total cryptocurrency marketcap with only 0.048% of the total cryptocurrency sphere.
To any Shadowcash holders despairing at this point, relax. There are over 707 cryptocurrencies trading as of writing and SDC holds the 27th ranking in terms of market cap. In such a competitive field, filled with scams that's pretty good. Moreso when you consider that SDC is a legitimate technology and is currently probably very undervalued.
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Lets look at the rich list for bitcoin:
 
Why did I just talk about this?
 
In cryptocurrency I see this happening on the markets all the time. Indeed market manipulation effects every single cryptocurrency eventually.
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Market manipulation!
 
Large holders of valuable, high marketcap coins will often make multiple small volume purchases of less valuable, low marketcap coins. Often this will follow announcements regarding developments in that low marketcap coin.
 
 
Low volume buying in a market with low daily trading volume can gradually drive up the price attracting an influx of buyers into that coin; often they will make larger volume purchases of it which helps drive up the price much further. This will trigger a further chain of buyers experiencing FOMO (fear of missing out, detailed in Part 2) who will drive up the price even further. The price will pump. Often will smaller cap cryptocurrencies this may result in a sudden 20, 40, 60 or even +100% increase in value often over a very short time space (1-2 days, 1-2 weeks maximum).
 
 
The only way to discern if the sudden rise in coin value is due to pre-rigged market manipulation is to look at:
 
You are looking for organic, gradual growth based on a solid value proposition. Sudden large spikes in value should make you pause and wonder if it's worth waiting for a gradual correction (organic drop) in price before entering your buy order.
 
Do not fall for a pump and dump. Stick to the lessons covered in previous parts of this guide (especially part 3a and 2) and you will be much less likely to lose money in the long run trading and investing in cryptocurrencies.
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The pattern of change on daily trading volume, the order book and liquidity:
 
Lets look at SDC and Bitcoin again. This time we are going to compare the daily trading volume (last 24 hours) in USD.
 
 
I'd just like to use this opportunity to point out and reinforce the idea that day traders not holders dictate the daily price of an asset. I'd also like to point out daily global trading volume on Forex is $4800 billion which makes Bitcoin a very small fish in the broader arena of global finance and trade i.e. Bitcoin is still very vulnerable to all the price manipulation tactics and liquidity issues I am going to be describing in this article by bigger players with richer pockets.
 
 
The daily trading volume also gives you an idea of how much fiat currency you can invest into a given cryptocurrency before you suddenly shift the price.
 
 
A sudden rise in coin price heavily out of proportion to the rise in daily trading volume should be the first sign to alert you to a pump & dump scam.
 
Daily trading volume should show a steady increase over time with sustained buy support at new price levels; this is a good marker of organic, sustainable growth.
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For more detail you can now look at the depth chart:
 
The depth chart is very useful to know how much fiat currency is required to cause the spot price of a given cryptocurrency to rise or fall by a given amount.
 
NB the price of most cryptocurrencies is expressed in Bitcoin because it has the largest market cap and daily trading volume of all cryptocurrencies by a very large margin and because with a few exceptions (Ethereum, Monero) most cryptocurrencies do not have routes to directly purchase via fiat currency without first purchasing Bitcoin.
 
Liquidity is super important. People often complain about a market lacking liquidity but that is often because they are trading in fiat volumes which far exceed the daily trading fiat volumes of the cryptocurrency they are referring to. If you are investing or trading in a cryptocurrency, always factor in the your personal liquidity and need for liquidity relative to that of the cryptocurrency you are investing in. In other words don't expect to make a profit next day selling 'cryptocurrency x' if the size your single buy order composes >90% of the buy orders on the market for 'cryptocurrency x' that day (indeed in such a scenario be very prepared to sell at a loss next day if you absolutely have to)!
 
 
There are certain patterns on a depth chart that make me believe a significant, sustained price rise is imminent: One example occurs when there is a very large volume of buy orders (>25% of total buy volume within 5% of current price) very close to the current (spot) price, and a very large number of sell orders close to but significantly above the spot price (approx 25% total sell volume within 10% of current price) and especially if the total buy order volume is a significantly higher percentage than it has previously been. This simply indicates high demand at current price which may soon outstrip supply. Again I stress that these patterns can be manipulated easily by wealthy traders.
 
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The order book is another way of looking at the depth chart and allows you to see the specific transactions occurring that compose daily trading volume by the second!
 
I find it useful because it allows me to identify:
 
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The price charts:
 
Discussions about price charts could be endless. I'm not going to go into too much detail, mostly because I'm an investor who believes the value proposition, good consistent development, decent marketing and communications will ultimately trump spot prices and adverse (or positive) short term price trends in the future.
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The news cycle:
 
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Other interesting points: The 'coin x' scenario and the ridiculousness of marketcap:
 
'Coin X' is an imaginary hypothetical coin. There are only 10 in circulation. It has no value proposition beyond it's speculative value i.e. it will never generate a revenue independent of it's speculative value.
 
 
I'd like to point out the similarities between ZCash and 'coin x' (especially during it's launch).
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Lessons:
 
 
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References:
1. Coinmarketcap rankings: https://coinmarketcap.com/all/views/all/ 2. Coinmarketcap daily trading volumes https://coinmarketcap.com/currencies/volume/24-hou 3. Bitinfocharts - Top 100 Richest Bitcoin addresses: https://bitinfocharts.com/top-100-richest-bitcoin-addresses.html 4. Crypto ID - Shadowcash Rich list: https://chainz.cryptoid.info/sdc/#!rich 
 
...
 
Further articles in this series:
 
"The intelligent investors guide to cryptocurrency"
 
Part 0 -
Part 1 -
Part 2 -
Part 3a -
Part 3b -
Part 4 -
Part 5 -
Part 6 -
Part 7a -
 
"The intelligent investors guide to Particl -"
 
 
Full disclosure/Disclaimer: At time of original writing I had long positions in Ethereum (ETH), Shadowcash (SDC), Iconomi (ICN), Augur (REP) and Digix (DGD). All the opinions expressed are my own. I cannot guarantee gains; losses are sustainable; do your own financial research and make your decisions responsibly. All prices and values given are as of time of first writing (Midday 8th-Jan-2017).
 
Second disclaimer: Please do not buy Shadowcash (SDC), the project has been abandoned by it's developers who have moved on to the Particl Project (PART). The PARTICL crowd fund and SDC 1:1 token swap completed April 15th. You can still exchange SDC for PART but only if it was acquired prior to 15th April 2017 see: https://particl.news/a-community-driven-initiative-e26724100c3a for more information.
 
Addendum: Article updated 23-11-2017 to edit references to SDC (changed to Particl where relevant to reflect updated status) and clean up formatting.
submitted by joskye to Particl [link] [comments]

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Double Bottom Chart Pattern Strategy

http://goo.gl/BMLh7F The double top pattern is one of the most common technical patterns used by Forex traders. It is a reversal pattern that forms after an extended move up. Just as the name... Candlestick Pattern Playlist ... exciting community atmosphere for people looking to learn and trade the foreign exchange market. ... TRADE THE DOUBLE TOP IN FOREX, CRYPTO OR STOCKS ... Hi everyone guys and welcome to our channel! Let's see how to trade a double top pattern and let's do a quick update on the today Forex Market Here we will share our trading strategies, including ... Double Top Chart Pattern Strategy Federica Curcio ... How to Trade Double Top and Triple Top Reversal Chart Patterns Forex Trading ... 24/7 Live Bitcoin Algo Trading on Deribit Exchange ... In this video, Steven shares some advanced structure trading techniques for the Forex market and a few key steps to building a Forex trading strategy. BIO Steven Hart -