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Advertise Your Stuff / Understanding Risk Management

« on: January 17, 2023, 01:54:57 PM »

Understanding Risk Management
Risk management occurs everywhere in the realm of finance. It occurs when an investor buys U.S. Treasury bonds over corporate bonds, when a fund manager hedges his currency exposure with currency derivatives, and when a bank performs a credit check on an individual before issuing a personal line of credit. Stockbrokers use financial instruments like options and futures, and money managers use strategies like portfolio diversification, asset allocation and position sizing to mitigate or effectively manage risk.

Inadequate risk management can result in severe consequences for companies, individuals, and the economy. For example, the subprime mortgage meltdown in 2007 that helped trigger the Great Recession stemmed from bad risk-management decisions, such as lenders who extended mortgages to individuals with poor credit; investment firms who bought, packaged, and resold these mortgages; and funds that invested excessively in the repackaged, but still risky, mortgage-backed securities (MBSs).
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Find out what a hypothetical investment would be worth today.
SELECT A STOCK
TSLA
TESLA INC
AAPL
APPLE INC
NKE
NIKE INC
AMZN
AMAZON.COM, INC
WMT
WALMART INC
SELECT INVESTMENT AMOUNT
$
1000
SELECT A PURCHASE DATE
5 years ago
CALCULATE
Good, Bad, and Necessary Risk
We tend to think of "risk" in predominantly negative terms. However, in the investment world, risk is necessary and inseparable from desirable performance.

A common definition of investment risk is a deviation from an expected outcome. We can express this deviation in absolute terms or relative to something else, like a market benchmark.
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While that deviation may be positive or negative, investment professionals generally accept the idea that such deviation implies some degree of the intended outcome for your investments. Thus to achieve higher returns one expects to accept the greater risk. It is also a generally accepted idea that increased risk comes in the form of increased volatility. While investment professionals constantly seek—and occasionally find—ways to reduce such volatility, there is no clear agreement among them on how it's best done.
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How much volatility an investor should accept depends entirely on the individual investor's tolerance for risk, or in the case of an investment professional, how much tolerance their investment objectives allow. One of the most commonly used absolute risk metrics is standard deviation, a statistical measure of dispersion around a central tendency. You look at the average return of an investment and then find its average standard deviation over the same time period. Normal distributions (the familiar bell-shaped curve) dictate that the expected return of the investment is likely to be one standard deviation from the average 67% of the time and two standard deviations from the average deviation 95% of the time. This helps investors evaluate risk numerically. If they believe that they can tolerate the risk, financially and emotionally, they invest.

Risk Management Example
For example, during a 15-year period from Aug. 1, 1992, to July 31, 2007, the average annualized total return of the S&P 500 was 10.7%. This number reveals what happened for the whole period, but it does not say what happened along the way. The average standard deviation of the S&P 500 for that same period was 13.5%. This is the difference between the average return and the real return at most given points throughout the 15-year period.

When applying the bell curve model, any given outcome should fall within one standard deviation of the mean about 67% of the time and within two standard deviations about 95% of the time. Thus, an S&P 500 investor could expect the return, at any given point during this period, to be 10.7% plus or minus the standard deviation of 13.5% about 67% of the time; he may also assume a 27% (two standard deviations) increase or decrease 95% of the time. If he can afford the loss, he invests.

Risk Management and Psychology
While that information may be helpful, it does not fully address an investor's risk concerns. The field of behavioral finance has contributed an important element to the risk equation, demonstrating asymmetry between how people view gains and losses. In the language of prospect theory, an area of behavioral finance introduced by Amos Tversky and Daniel Kahneman in 1979, investors exhibit loss aversion. Tversky and Kahneman documented that investors put roughly twice the weight on the pain associated with a loss than the good feeling associated with a profit.
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Often, what investors really want to know is not just how much an asset deviates from its expected outcome, but how bad things look way down on the left-hand tail of the distribution curve. Value at risk (VAR) attempts to provide an answer to this question
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Advertise Your Stuff / Avoid emotional trading

« on: October 28, 2022, 10:38:36 PM »

Avoid emotional trading
Trading psychology describes how a trader handles generating gains and handling losses. It represents their ability to deal with risks and not deviate from their trading plan. The emotional aspects of investing will attempt to dictate your every transaction, and your ability to handle your emotions is part of your trading psychology.
It is impossible to eliminate emotions in trading, but this should not be the goal in the first place. Instead, traders should understand how certain biases or emotions can affect their trading and use this information to their advantage. Every trader is different, and there is no simple rulebook that everyone should follow.
Identify your personality traits
Develop and follow a trading plan
Have patience
Be adaptive
Take a break after a loss
Accept your winnings
Keep a trading log
Identify your personality traits
One of the keys to developing successful trading psychology is identifying your personality traits early on. You will need to be honest with yourself and say if you have impulsive tendencies or if you are prone to acting out of anger or frustration.
If this is the case, it is important to keep these traits in check while you are actively trading because they can lead you to make rash and ill-advised decisions that have little analytical backing. However, it is also important to play to your personal strengths. For instance, if you are naturally calm and calculated, you can take advantage of these personality traits during your time on the markets.
Equally as important as identifying and being aware of your personality traits and emotions is recognising your biases, as listed above. Biases are an innate aspect of human nature, but you should be aware of what your individual biases are before opening or closing any trades.
Develop and follow a trading plan
Having a trading plan is paramount to ensuring that you achieve your goals. A trading plan acts as the blueprint to your trading, and it should highlight your time commitments, your available trading funds, your risk-reward ratio and a trading strategy that you feel comfortable with.
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For instance, a trading plan could say that you were going to commit one hour every morning and evening to trading, and that you will never commit more than 2% of the total value of your portfolio to any one trade. This can help minimise losses and limit the effect of emotions on your trading as the rules for opening or closing a position are already highlighted for you.
Trading plans should also take into account individual factors that could affect your trading discipline such as your emotions, biases and personality traits. If you make clear what your biases are before you start trading, you might be less inclined to act on them.
Have patience
Patience is integral to discipline and it is crucial that you have patience with your positions. Acting on emotions like fear can lead you to miss out on a profit by closing a position too early. Trust your analysis and remain patient and disciplined. Equally, when looking to enter a trade, it is important to be patient and wait for the opportune moment rather than just jumping into a trade right then and there.
For instance, if you were wanting to speculate on some GBP currency pairs like EUR/GBP or GBP/USD, you may want to wait until just before a Bank of England (BoE) announcement as there tends to be increased volatility at this time.
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Be adaptive
While it is important to have a trading plan, remember that no two days on the markets are the same, and winning streaks don’t exist in trading. With this in mind, you should become comfortable in assessing how the markets are different from day to day and adapt accordingly.
If there is more volatility on one day compared to the day before and the markets are moving particularly unpredictably, you may decide to put your trading activity on hold until you’re sure you understand what is happening. Being adaptive can help to limit your emotions and rule out representative and status quo biases, enabling you to assess each situation on its own merits – ensuring that you are pragmatic during your time on the markets.
Take a break after a loss
Sometimes after a loss, the best thing you can do is walk away from your trading account for a short while to gather your thoughts and compose yourself – rather than rushing into another trade in an attempt to regain some of your losses.
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The best traders are those that take their losses and use them as learning opportunities. They will typically take a few minutes to themselves before going back to their platform, using this time to assess what went wrong for that particular trade in the hope that they might avoid making the same mistake in the future.
In doing so, they keep emotions like pride or fear in check by letting themselves cool off before approaching the next trade with a clear head and sound judgment.
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Advertise Your Stuff / Trading cycle

« on: October 17, 2022, 05:04:28 PM »

Trading cycle
Once identified and understood, cycles can add significant value to the technical analysis toolbox. However, they are not perfect. Some will miss, some will disappear and some will provide a direct hit. This is why it is important to use cycles in conjunction with other aspects of technical analysis. Trend establishes direction, oscillators define momentum and cycles anticipate turning points. Look for confirmation with support or resistance on the price chart or a turn in a key momentum oscillator. It can also help to combine cycles. For example, the stock market is known to have 10-week, 20-week, and 40-week cycles. These cycles can be combined with the Six Month Cycle and Presidential Cycle for added value. Signals are enhanced when multiple cycles nest at a cycle low.

A cycle is an event, such as a price high or low, which repeats itself on a regular basis. Cycles exist in the economy, in nature and in financial markets. The basic business cycle encompasses an economic downturn, bottom, economic upturn, and top. Cycles in nature include the four seasons and solar activity (11 years). Cycles are also part of technical analysis of the financial markets. Cycle theory asserts that cyclical forces, both long and short, drive price movements in the financial markets.

Price and time cycles are used to anticipate turning points. Lows are normally used to define cycle length and then project future cycle lows. Even though there is evidence that cycles do indeed exist, they tend to change over time and can even disappear for a while. While this may sound discouraging, trend is the same way. There is indeed evidence that markets trend, but not all the time. Trend disappears when markets move into a trading range and reverses when prices change direction. Cycles can also disappear and even invert. Do not expect cycle analysis to pinpoint reaction highs or lows. Instead, cycle analysis should be used in conjunction with other aspects of technical analysis to anticipate turning points.

The Perfect Cycle and stock signals
The image below shows a perfect cycle with a length of 100 days. The first peak is at 25 days and the second peak is at 125 days (125 - 25 = 100). The first cycle low is at 75 days and the second cycle low is at 175 days (also 100 days later). Notice that the cycle crosses the X-axis at 50, 100 and 150, which is every 50 points or half a cycle.

Chart 1 - Cycles

Crest: Cycle high
Trough: Cycle low
Phase: Position of the cycle at a particular point in time (the example cycle is at .95 on day 20)
Inflection Point: This is where the cycle line crosses the X-axis
Amplitude: Height of the cycle from X-axis to peak or trough
Length: Distance between cycle highs or cycle lows
Observe that this is merely a blueprint for the ideal cycle; most cycles are not this well-defined.

Cycle Characteristics

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Cycle Length: Lows are usually used to define the length of a cycle and project the cycle into the future. A cycle high can be expected somewhere between the cycle lows.

Translation: Cycles almost never peak at the exact midpoint nor trough at the expected cycle low. Most often, peaks occur before or after the midpoint of the cycle. Right translation is the tendency of prices to peak in the latter part of the cycle during bull markets. Conversely, left translation is the tendency of prices to peak in the front half of the cycle during bear markets. Prices tend to peak later in bull markets and earlier in bear markets.

Harmonics: Larger cycles can be broken down into smaller, and equal, cycles. A 40-week cycle divides into two 20-week cycles. A 20-week cycle divides into two 10-week cycles. Sometimes a larger cycle can divide into three or more parts. The inverse is also true. Small cycles can multiply into larger cycles. A 10-week cycle can be part of a larger 20-week cycle and an even larger 40-week cycle.

Nesting: forex signals A cycle low is reinforced when several cycles signal a trough at the same time. The 10-week, 20-week, and 40-week cycles are nesting when they all trough at the same time.

Inversions: Sometimes a cycle high occurs when there should be a cycle low and vice versa. This can happen when a cycle high or low is skipped or is minimal. A cycle low may be short or almost non-existent in a strong uptrend. Similarly, markets can fall fast and skip a cycle high during sharp declines. Inversions are more prominent with shorter cycles and less common with longer cycles. For instance, one could expect more inversions with a 10-week cycle than a 40-week cycle. Read more on https://www.gold-pattern.com/en

Forum related / Re: Hi, introduce yourself

« on: September 13, 2022, 06:00:06 AM »

Behaviorist
Main articles: Behaviorism, Psychological behaviorism, and Radical behaviorism
Skinner's teaching machine, a mechanical invention to automate the task of programmed instruction
A tenet of behavioral research is that a large part of both human and lower-animal behavior is learned. A principle associated with behavioral research is that the mechanisms involved in learning apply to humans and non-human animals. Behavioral researchers have developed a treatment known as behavior modification, which is used to help individuals replace undesirable behaviors with desirable ones.
The film of the Little Albert experiment
Early behavioral researchers studied stimulus–response pairings, now known as classical conditioning. They demonstrated that when a biologically potent stimulus (e.g., food that elicits salivation) is paired with a previously neutral stimulus (e.g., a bell) over several learning trials, the neutral stimulus by itself can come to elicit the response the biologically potent stimulus elicits. Ivan Pavlov—known best for inducing dogs to salivate in the presence of a stimulus previously linked with food—became a leading figure in the Soviet Union and inspired followers to use his methods on humans.[35] In the United States, Edward Lee Thorndike initiated "connectionist" studies by trapping animals in "puzzle boxes" and rewarding them for escaping. Thorndike wrote in 1911, "There can be no moral warrant for studying man's nature unless the study will enable us to control his acts."[27]: 212–5 From 1910 to 1913 the American Psychological Association went through a sea change of opinion, away from mentalism and towards "behavioralism." In 1913, John B. Watson coined the term behaviorism for this school of thought.[27]: 218–27 Watson's famous Little Albert experiment in 1920 was at first thought to demonstrate that repeated use of upsetting loud noises could instill phobias (aversions to other stimuli) in an infant human,[12][75] although such a conclusion was likely an exaggeration.[76] Karl Lashley, a close collaborator with Watson, examined biological manifestations of learning in the brain.[67]

Clark L. Hull, Edwin Guthrie, and others did much to help behaviorism become a widely used paradigm.[33] A new method of "instrumental" or "operant" conditioning added the concepts of reinforcement and punishment to the model of behavior change. Radical behaviorists avoided discussing the inner workings of the mind, especially the unconscious mind, which they considered impossible to assess scientifically.[77] Operant conditioning was first described by Miller and Kanorski and popularized in the U.S. by B.F. Skinner, who emerged as a leading intellectual of the behaviorist movement.
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Noam Chomsky published an influential critique of radical behaviorism on the grounds that behaviorist principles could not adequately explain the complex mental process of language acquisition and language use.[80][81] The review, which was scathing, did much to reduce the status of behaviorism within psychology.[27]: 282–5 Martin Seligman and his colleagues discovered that they could condition in dogs a state of "learned helplessness", which was not predicted by the behaviorist approach to psychology.[82][83] Edward C. Tolman advanced a hybrid "cognitive behavioral" model, most notably with his 1948 publication discussing the cognitive maps used by rats to guess at the location of food at the end of a maze.[84] Skinner's behaviorism did not die, in part because it generated successful practical applications.
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The Association for Behavior Analysis International was founded in 1974 and by 2003 had members from 42 countries. The field has gained a foothold in Latin America and Japan.[85] Applied behavior analysis is the term used for the application of the principles of operant conditioning to change socially significant behavior (it supersedes the term, "behavior modification").
Boundaries
Early practitioners of experimental psychology distinguished themselves from parapsychology, which in the late nineteenth century enjoyed popularity (including the interest of scholars such as William James). Some people considered parapsychology to be part of "psychology." Parapsychology, hypnotism, and psychism were major topics at the early International Congresses. But students of these fields were eventually ostracized, and more or less banished from the Congress in 1900–1905.[31] Parapsychology persisted for a time at Imperial University in Japan, with publications such as Clairvoyance and Thoughtography by Tomokichi Fukurai, but it was mostly shunned by 1913.[32]
As a discipline, psychology has long sought to fend off accusations that it is a "soft" science. Philosopher of science Thomas Kuhn's 1962 critique implied psychology overall was in a pre-paradigm state, lacking agreement on the type of overarching theory found in mature sciences such as chemistry and physics.[61] Because some areas of psychology rely on research methods such as surveys and questionnaires, critics asserted that psychology is not an objective science. Skeptics have suggested that personality, thinking, and emotion cannot be directly measured and are often inferred from subjective self-reports, which may be problematic. Experimental psychologists have devised a variety of ways to indirectly measure these elusive phenomenological entities.
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Divisions still exist within the field, with some psychologists more oriented towards the unique experiences of individual humans, which cannot be understood only as data points within a larger population. Critics inside and outside the field have argued that mainstream psychology has become increasingly dominated by a "cult of empiricism," which limits the scope of research because investigators restrict themselves to methods derived from the physical sciences.[65]: 36–7 Feminist critiques have argued that claims to scientific objectivity obscure the values and agenda of (historically) mostly male researchers.[37] Jean Grimshaw, for example, argues that mainstream psychological research has advanced a patriarchal agenda through its efforts to control behavior
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Cryptocurrency Trading / Common Retracements

« on: July 02, 2022, 06:21:24 PM »

Common Retracements
The Fibonacci Retracements Tool at StockCharts shows four common retracements: 23.6%, 38.2%, 50%, and 61.8%. From the Fibonacci section above, it is clear that 23.6%, 38.2%, and 61.8% stem from ratios found within the Fibonacci sequence. The 50% retracement is not based on a Fibonacci number. Instead, this number stems from Dow Theory's assertion that the Averages often retrace half their prior move.

Based on depth, we can consider a 23.6% retracement to be relatively shallow. Such retracements would be appropriate for flags or short pullbacks. Retracements in the 38.2%-50% range would be considered moderate. Even though deeper, the 61.8% retracement can be referred to as the golden retracement. It is, after all, based on the Golden Ratio.

Shallow retracements occur, but catching these requires a closer watch and quicker trigger finger. The examples below use daily charts covering 3-9 months. Focus will be on moderate retracements (38.2-50%) and golden retracements (61.8%). In addition, these examples will show how to combine retracements with other indicators to confirm a reversal.
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Fibonacci retracements are often used to identify the end of a correction or a counter-trend bounce. Corrections and counter-trend bounces often retrace a portion of the prior move. While short 23.6% retracements do occur, the 38.2-61.8% zone covers the most possibilities (with 50% in the middle). This zone may seem big, but it is just a reversal alert zone. Other technical signals are needed to confirm a reversal. Reversals can be confirmed with candlesticks, momentum indicators, volume or chart patterns. In fact, the more confirming factors, the more robust the signal.
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Fibonacci Retracements are ratios used to identify potential reversal levels. These ratios are found in the Fibonacci sequence. The most popular Fibonacci Retracements are 61.8% and 38.2%. Note that 38.2% is often rounded to 38% and 61.8 is rounded to 62%. After an advance, chartists apply Fibonacci ratios to define retracement levels and forecast the extent of a correction or pullback. Fibonacci Retracements can also be applied after a decline to forecast the length of a counter-trend bounce. These retracements can be combined with other indicators and price patterns to create an overall strategy.

The Sequence and Ratios
This article is not designed to delve too deep into the mathematical properties behind the Fibonacci sequence and Golden Ratio. There are plenty of other sources for this detail. A few basics, however, will provide the necessary background for the most popular numbers. Leonardo Pisano Bogollo (1170-1250), an Italian mathematician from Pisa, is credited with introducing the Fibonacci sequence to the West. It is as follows:

0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610……

The sequence extends to infinity and contains many unique mathematical properties.
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After 0 and 1, each number is the sum of the two prior numbers (1+2=3, 2+3=5, 5+8=13 8+13=21 etc…).
A number divided by the previous number approximates 1.618 (21/13=1.6153, 34/21=1.6190, 55/34=1.6176, 89/55=1.6181). The approximation nears 1.6180 as the numbers increase.
A number divided by the next highest number approximates .6180 (13/21=.6190, 21/34=.6176, 34/55=.6181, 55/89=.6179 etc….). The approximation nears .6180 as the numbers increase. This is the basis for the 61.8% retracement.
A number divided by another two places higher approximates .3820 (13/34=.382, 21/55=.3818, 34/89=.3820, 55/=144=3819 etc….). The approximation nears .3820 as the numbers increase. This is the basis for the 38.2% retracement. Also, note that 1 - .618 = .382
A number divided by another three places higher approximates .2360 (13/55=.2363, 21/89=.2359, 34/144=.2361, 55/233=.2361 etc….). The approximation nears .2360 as the numbers increase. This is the basis for the 23.6% retracement.
1.618 refers to the Golden Ratio or Golden Mean, also called Phi. The inverse of 1.618 is .618. These ratios can be found throughout nature, architecture, art, and biology. In his book, Elliott Wave Principle, Robert Prechter quotes William Hoffer from the December 1975 issue of Smithsonian Magazine:
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….the proportion of .618034 to 1 is the mathematical basis for the shape of playing cards and the Parthenon, sunflowers and snail shells, Greek vases and the spiral galaxies of outer space. The Greeks based much of their art and architecture upon this proportion. They called it the golden mean.
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Cryptocurrency Trading / What Is a Technical Indicator?

« on: June 20, 2022, 10:49:04 PM »

What Is a Technical Indicator?
A technical indicator is a series of data points that are derived by applying a formula to the price data of a security. Price data includes any combination of the open, high, low or close over a period of time. Some indicators may use only the closing prices, while others incorporate volume and open interest into their formulas. The price data is entered into the formula and a data point is produced. For example, the average of 3 closing prices is one data point [ (41+43+43) / 3 = 42.33 ].
However, one data point does not offer much information and does not make for a useful indicator. A series of data points over a period of time is required to create valid reference points to enable analysis. By creating a time series of data points, a comparison can be made between present and past levels. For analysis purposes, technical indicators are usually shown in a graphical form above or below a security's price chart. Once shown in graphical form, an indicator can then be compared with the corresponding price chart of the security. Sometimes indicators are plotted on top of the price plot for a more direct comparison.
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What Does a Technical Indicator Offer?
A technical indicator offers a different perspective from which to analyze the price action. Some, such as moving averages, are derived from simple formulas and the mechanics are relatively easy to understand. Others, such as Stochastics, have complex formulas and require more study to fully understand and appreciate. Regardless of the complexity of the formula, technical indicators can provide a unique perspective on the strength and direction of the underlying price action.
A simple moving average is an indicator that calculates the average price of a security over a specified number of periods. If a security is exceptionally volatile, then a moving average will help to smooth the data. A moving average filters out random noise and offers a smoother perspective of the price action. Veritas (VRTSE) displays a lot of volatility and an analyst may have difficulty discerning a trend. By applying a 10-day simple moving average to the price action, random fluctuations are smoothed to make it easier to identify a trend.
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Why Use Indicators?
Indicators serve three broad functions: to alert, to confirm and to predict.
An indicator can act as an alert to study price action a little more closely. If momentum is waning, it may be a signal to watch for a break of support. Alternatively, if there is a large positive divergence building, it may serve as an alert to watch for a resistance breakout.
Indicators can be used to confirm other technical analysis tools. If there is a breakout on the price chart, a corresponding moving average crossover could serve to confirm the breakout. If a stock breaks support, a corresponding low in the On-Balance-Volume (OBV) could serve to confirm the weakness.

According to some investors and traders, indicators can be used to predict the direction of future prices.
Tips for Using Indicators
Indicators indicate. This may sound straightforward, but sometimes traders ignore the price action of a security and focus solely on an indicator. Indicators filter price action with formulas. As such, they are derivatives and not direct reflections of the price action. This should be taken into consideration when applying analysis. Any analysis of an indicator should be taken with the price action in mind. What is the indicator saying about the price action of a security? Is the price action getting stronger? Weaker?

Even though it may be obvious when indicators generate buy and sell signals, the signals should be taken in context with other technical analysis tools. An indicator may flash a buy signal, but if the chart pattern shows a descending triangle with a series of declining peaks, it may be a false signal.

On the Rambus (RMBS) chart, MACD improved from November to March, forming a positive divergence. All the earmarks of a MACD buying opportunity were present, but the stock failed to break above the resistance and exceed its previous reaction high. This non-confirmation from the stock should have served as a warning sign against a long position. For the record, a sell signal occurred when the stock broke support from the descending triangle in March-01.
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As always in technical analysis, learning how to read indicators is more of an art than a science. The same indicator may exhibit different behavioral patterns when applied to different stocks. Indicators that work well for IBM might not work the same for Delta Airlines. Through careful study and analysis, expertise with the various indicators will develop over time. As this expertise develops, certain nuances, as well as favorite setups, will become clear.

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Cryptocurrency Trading / Multi-currrency travel card

« on: June 08, 2022, 11:42:45 AM »

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Cryptocurrency discussions / Head and Shoulders reversal

« on: May 05, 2022, 11:09:10 PM »

Head and Shoulders reversal
The pattern contains three successive peaks, with the middle peak (head) being the highest and the two outside peaks (shoulders) being low and roughly equal. The reaction lows of each peak can be connected to form support, or a neckline.
As its name implies, the Head and Shoulders reversal pattern is made up of a left shoulder, a head, a right shoulder, and a neckline. Other parts playing a role in the pattern are volume, the breakout, price target and support turned resistance. We will look at each part individually, and then put them together with some examples.
Prior Trend: It is important to establish the existence of a prior uptrend for this to be a reversal pattern. Without a prior uptrend to reverse, there cannot be a Head and Shoulders reversal pattern (or any reversal pattern for that matter).
Left Shoulder: While in an uptrend, the left shoulder forms a peak that marks the high point of the current trend. After making this peak, a decline ensues to complete the formation of the shoulder (1). The low of the decline usually remains above the trend line, keeping the uptrend intact.
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Head: From the low of the left shoulder, an advance begins that exceeds the previous high and marks the top of the head. After peaking, the low of the subsequent decline marks the second point of the neckline (2). The low of the decline usually breaks the uptrend line, putting the uptrend in jeopardy.
Right Shoulder: The advance from the low of the head forms the right shoulder. This peak is lower than the head (a lower high) and usually in line with the high of the left shoulder. While symmetry is preferred, sometimes the shoulders can be out of whack. The decline from the peak of the right shoulder should break the neckline.
Neckline: The neckline forms by connecting low points 1 and 2. Low point 1 marks the end of the left shoulder and the beginning of the head. Low point 2 marks the end of the head and the beginning of the right shoulder. Depending on the relationship between the two low points, the neckline can slope up, slope down or be horizontal. The slope of the neckline will affect the pattern's degree of bearishness—a downward slope is more bearish than an upward slope. In some cases, multiple low points can be used to form the neckline.
Volume: As the Head and Shoulders pattern unfolds, volume plays an important role in confirmation. Volume can be measured as an indicator (OBV, Chaikin Money Flow) or simply by analyzing volume levels. Ideally, but not always, volume during the advance of the left shoulder should be higher than during the advance of the head. Together, the decrease in volume and the new high of the head serve as a warning sign. The next warning sign comes when volume increases on the decline from the peak of the head, then decreases during the advance of the right shoulder. Final confirmation comes when volume further increases during the decline of the right shoulder.
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Neckline Break: The head and shoulders pattern is not complete and the uptrend is not reversed until neckline support is broken. Ideally, this should also occur in a convincing manner, with an expansion in volume.
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Support Turned Resistance: Once support is broken, it is common for this same support level to turn into resistance. Sometimes, but certainly not always, the price will return to the support break, and offer a second chance to sell.
Price Target: After breaking neckline support, the projected price decline is found by measuring the distance from the neckline to the top of the head. This distance is then subtracted from the neckline to reach a price target. Any price target should serve as a rough guide, and other factors should be considered as well. These factors might include previous support levels, Fibonacci retracements, or long-term moving averages.

Cryptocurrency discussions / Financial Advisors Were Grateful

« on: March 02, 2022, 08:33:05 PM »

Financial Advisors Were Grateful
ging year, as financial advisors and their clients have had to navigate unprecedented issues. We asked several of our top advisors to share what had been most meaningful for them during 2020 and how it has shaped their professional outlook.
“I'm incredibly grateful for a supportive team of colleagues, amazing clients, and the ability to continue to use creativity when it comes to inspiring people to make smarter choices with their money. The best moments with my clients have been sprinkled throughout the year. Many clients checked in on me as often as I've checked in on them throughout the pandemic. Some of my favorite moments have come when I've been able to educate about the benefits of donor-advised funds and how they can be leveraged in a family gifting strategy. There really have been bright moments throughout all of this. —Mary Beth Storjohann, Founder of Workable Wealth
“Professionally, I am most grateful to be a symbol of possibility for the many people across continents—regardless of race, region, or creed—that with faith, work, and discipline, you can design the life of your dreams. Onward.” —Dasarte Yarnway, Founder & Managing Director of Berknell Financial Group
“I'm most grateful for the health of our clients, team, and families during this challenging year. I'm also grateful for gaining confidence to get more personal and vulnerable with clients—something I've always struggled with. As a result, one of my favorite moments with clients was the overwhelming support for my three-year-old son who had to have emergency surgery during the first wave of the pandemic. There is no better profession in the world and I'm feeling extra thankful this year for being a part of it.” —Taylor Schulte, Founder & CEO of Define Financial

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“I appreciate the amazing clients that have placed their trust and confidence in me and the financial planning process. I am grateful for the opportunity to collaborate with such special people and help them navigate challenging times while planning for their important milestones.” —Marguerita Cheng, CEO of Blue Ocean Global Wealth
“Professionally, I am most grateful for an amazing staff and partnerships that have helped make an inherently challenging year easier. They say business is about your people and that if you take care of them, they will take care of you. I find this to be especially true in 2020. The best moments with my clients have been the ones where we didn’t talk about finances and shared stories of raising kids during a pandemic. I can’t think of a better way to have connected with them.” —Douglas Boneparth, President of Bone Fide Wealth
“Despite the craziness of 2020, there is plenty to be thankful for. I'm thankful that my family, my team, and my clients have all remained healthy during the pandemic. Professionally, I'm thankful for my peers—without The AGC™ and my friends from around the profession, navigating the year would have been lonely and much harder. This year has provided time for reflection, which I've found has allowed clients to really examine what is most important to them. I've had numerous conversations with clients where we've refocused their financial plans to allow them to align their values with their plan—these conversations are always fun and lead to a financial plan that will have a greater impact on their lives.” —Justin Castelli, CEO of RSL Wealth Management
“I’m most grateful for the wonderful community of financial advisors who have kept me sane through a challenging year through their support and camaraderie. I’m in a coaching program, two masterminds, and also tap into the #Fintwit community on Twitter—they all made this year better. This year, I primarily met with clients via Zoom. To my surprise, instead of creating distance with clients, Zoom seemed to create an atmosphere for more sharing and conversation. I feel closer to my clients than pre-COVID and feel like I know them even better than before.” —Cathy Curtis, Founder & CEO of Curtis Financial Planning
Judging by these moments of gratitude, it’s clear that the financial advisor community is as strong as ever and that advisors have had a significant impact on your clients’ lives during the unprecedented turmoil of 2020.