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How Trends Work
Traders can identify a trend using various forms of technical analysis, including trendlines, price action, and technical indicators. For example, trendlines might show the direction of a trend while the relative strength index (RSI) is designed to show the strength of a trend at any given point in time.
An uptrend is marked by an overall increase in price. Nothing moves straight up for long, so there will always be oscillations, but the overall direction needs to be higher in order for it to be considered an uptrend. Recent swing lows should be above prior swing lows, and the same goes for swing highs. Once this structure starts to break down, the uptrend could be losing steam or reversing into a downtrend. Downtrends are composed of lower swing lows and lower swing highs.
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While the trend is up, traders may assume it will continue until there is evidence that points to the contrary. Such evidence could include lower swing lows or highs, the price breaking below a trendline, or technical indicators turning bearish. While the trend is up, traders focus on buying, attempting to profit from a continued price rise.
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When the trend turns down, traders focus more on selling or shorting, attempting to minimize losses or profit from the price decline. Most (not all) downtrends do reverse at some point, so as the price continues to decline, more traders begin to see the price as a bargain and step in to buy. This could lead to the emergence of an uptrend again.
Trends may also be used by investors focused on fundamental analysis. This form of analysis looks at changes in revenue, earnings, or other business or economic metrics. For example, fundamental analysts may look for trends in earnings per share and revenue growth. If earnings have grown for the past four quarters, this represents a positive trend. However, if earnings have declined for the past four quarters, it represents a negative trend.
The lack of a trend—that is, a period of time where there is little overall upward or downward progress—is called a range or trendless period.
Using Trendlines
A common way to identify trends is using trendlines, which connect a series of highs (downtrend) or lows (uptrend). Uptrends connect a series of higher lows, creating a support level for future price movements. Downtrends connect a series of lower highs, creating a resistance level for future price movements. In addition to support and resistance, these trendlines show the overall direction of the trend.
While trendlines do a good job of showing overall direction, they will often need to be redrawn. For example, during an uptrend, the price may fall below the trendline, yet this doesn't necessarily mean the trend is over. The price may move below the trendline and then continue rising. In such an event, the trendline may need to be redrawn to reflect the new price action.
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Trendlines should not be relied on exclusively to determine the trend. Most professionals also tend to look at price action and other technical indicators to help determine if a trend is ending or not. In the example above, a drop below the trendline isn't necessarily a sell signal, but if the price also drops below a prior swing low and/or technical indicators are turning bearish, then it might be.
Example of a Trend and Trendline
The following chart shows a rising trendline along with an RSI reading that suggests a strong trend. While the price is oscillating, the overall progress is to the upside.
The rising trend begins to lose momentum and selling pressure kicks in. The RSI falls below 70, followed by a very large down candle that takes the price to the trendline. The move lower was confirmed the next day when the price gapped below the trendline. These signals could have been used to exit long positions as there was evidence that the trend was turning. Short trades could have also been initiated.
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As the price moves lower, it starts to attract buyers interested in the lower price. Another trendline (not shown) could also be drawn along the falling price to indicate when a bounce may be coming. That trendline would be have been penetrated near the middle of February as the price made a quick v-bottom and progressed higher.

Wall Street's Complexity versus Investors' Profits & Simplicity

“Any darn fool can make something complex; it takes a genius to make something simple.” -- Pete Seeger
As a long-time trader, I am living breathing proof that simplicity and profits are positively correlated while complexity and profits are inversely correlated. In other words, as my 25 year investing career has jettisoned multiple methodologies and numerous indicators, my profits have became more regular and predictable while my losing ratio has diminished. This is the absolute antithesis of what Wall Street wants you to believe.

Wall Street lives and breathes on complexity. They pitch derivatives of every variety and alternative funds for specific self-serving reasons.

1. They want to convince investors that it’s far too complicated for them to manage their own money – therefore, the wisest decision is for investors to just give it to Wall Street managers instead.

2. They try to assure you that with this complexity come “insider” rates of returns and big profits. But then can you explain to me why so many university endowments and retirement funds are closing out their hedge fund positions? Because the returns have not justified the risks, losses and complexity.

3. Wall Street loves to use the cliché, “you get what you pay for” as justification for higher fees. So then, can you explain to me again why so many academic studies have concluded that no load mutual funds outperform advisor-recommended loaded mutual funds? The fact is that investors often do not get what they pay for.
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The catalyst for this week’s rant is that I cleaned out a closet with my old trading binders from over 20 years ago and was stunned by two observations. The first thing I realized was that I had been so vulnerable to believing Wall Street’s siren song of complexity. The second thing was that it was obvious my trading methodology back then was unnecessarily complicated.

To most individual investors, it seems counterintuitive when I preach my doctrine of simplicity, but it is precisely this simplicity that empowers you to outperform the professional money managers. Layer on top of that my other sermon that no one will manage your money with the same passion and commitment as you yourself and you have the magic ingredients for achieving consistent success as a stock market investor.
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Wall Street is based on its own version of Yin & Yang as opposites and contrary forces are actually interconnected and interdependent. In simplest terms, the market is made up of buyers and sellers, load and no load funds, passive and managed strategies. The complexity and simplicity paradigm is just another example. Much like life, one must decide to embrace the light or the dark, the hot or the cold, the high or low. So too, as an investor, you must choose between the dichotomies that Wall Street offers you.

I am simply sharing the experiences of my own journey as an investor. As I embraced the mantra of simplification in my investment methodology and my trading tools, my net worth grew. My relatively small basket of 10 technical indicators and the Tensile Trading approach that I’ve written so much about are living testimonials to this mantra.

Albert Einstein famously said, “If I had one hour to save the world, I would spend 55 minutes defining the problem and five minutes implementing the solution.” If you were in a life threatening situation and had only one hour before it proved fatal, what would you do? Einstein said he’d spend his time wisely asking probing questions to understand the problem in depth. Having done that, he’d only need 5 minutes to address the issue.

Many new investors I meet in my classes totally flip around Dr. Einstein’s approach. They have an unstoppable inclination to jump right into the market, metaphorically speaking. They’ll trade impulsively for the first 55 minutes and then allocate the last 5 minutes trying to figure out what just happened.

Humor me, please. Just go with this. Place your hands on the table, turn down the lights and let’s invite Albert Einstein to our séance to give us his advice. If it was indeed possible to “channel” him, I suspect he would suggest approaching the market’s first 55 minutes more like this:
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You have accumulated certain assets. Ask yourself if they are safe. Dr. Einstein would challenge you to address asset protection, first and foremost. Issues such as insurance, estate planning, identification theft, tax planning, record keeping and the like. You have to secure what you’ve got.
Next, he would ask if you had thought through personal money management questions and committed yourself to a personal trading plan in writing. It’s shocking how few investors actually do this. Einstein’s objective here would be to make certain you grasp the full scope of the problem.

Narrative Economics
stories affect economics, look no further than the example of Bitcoin.
When the idea of Bitcoin was first introduced online in 2008 by a mysterious person under the name Satoshi Nakamoto, hype quickly grew around it. It was an entirely new system of money that had the ability to change everything we know about currency. From there, it became a global phenomenon, though partly not for the reason you’d think.
Sure, its innovation and complex mathematical theory is impressive, but what excited most people about it seemed to be the hype and mystery surrounding it. If you ask most Bitcoin investors about the actual theory that runs Bitcoin, they probably could only give you the very basics.
But ask them about what excites them about it and they’ll probably say it’s the idea of a new, revolutionary way of using currency. The way of the future. They feel that by investing in Bitcoin, they have a stake in the future, proving they are among the forward-thinkers of today.
Another narrative attached to Bitcoin is that it’s free of the control of governments and banks. This idea attracts those investors with an anarchic streak who view many modern institutions as corrupt. Because it isn’t attached to any one country, investors feel they are promoting internationalism.
In short, it is these futuristic narratives along with the mysterious founding of Bitcoin that have made it so attractive to investors, not the complex math behind it. Without the exciting story, it probably wouldn’t have succeeded as quickly as it has.
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Lesson 2: There is a lot in common with epidemics and economic narratives.
Two subjects people don’t usually compare are epidemiology, or the study of epidemics, and economics. This is a shame, because epidemiology and economics could learn a lot from each other. Epidemiologists study how diseases spread, and many of the patterns they see are similar to what economists observe.

For example, they study a disease like Ebola. They keep track of things like the rate of contagion and well as recovery and death rates. When an epidemic is quickly spreading, the contagion rate is much higher than death and recovery rates. When the epidemic starts to decline, the contagion rate falls while the recovery and death rate outnumbers new cases.

This idea can be applied to economic narratives that are contagious. The contagion of a narrative rapidly rises as people talk about it, whether through conversation in person or online. It also spreads through the news and other media. But just like an epidemic, eventually, the story slows down. People start to forget or they just lose interest and the story dies off.
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We can see this parallel when we look at the Bitcoin craze again. If you search how often news stories over the last decade said the word “Bitcoin” you can see this pattern. There was a sharp increase in 2014, and then there was another peak in 2018 before it fell again.

While this isn’t the end of the story for Bitcoin, we can see that the rapid increase and decline with secondary waves is strikingly similar to the shape of a graph of the contagion rate during an epidemic. So studying disease curves can give us a good idea of what a popular narrative might do to the market.

Lesson 3: We must understand the narratives of the past if we want to be ready for our economic future.
Clearly, narratives are important when we’re looking at the economy. This is why it’s essential that economists take these stories seriously, rather than just looking at the math, so they can more accurately predict what’s coming next.

Luckily for economists, now more than ever we are able to access data about these narratives. We can learn through market research, looking at social media, and gathering information about internet searches.

Technology can help economists to find patterns in the data. They can then use this information to predict what the prominent narratives will be and how they might affect the economy. Shiller makes a point to say it has to be done carefully and accurately if you are studying the effects of narratives on economic events.
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What good does this information do? By having a good understanding of narratives, policy-makers can help shape people’s behavior when there are times of stress.

An example of this is during the Great Depression, when President Roosevelt addressed the nation with “fireside chats.” He understood the people’s lack of confidence was part of what was keeping the economy down. In these chats, he asked people to set aside their fears and spend money. It seemed to work, too. Following each address, the markets stabilized.

If people in charge of making policy understand the narratives and take control of them, they can be active participants in what’s going on rather than just bystanders who have no control of the situation.
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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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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

Existential-humanistic

Psychologist Abraham Maslow in 1943 posited that humans have a hierarchy of needs, and it makes sense to fulfill the basic needs first (food, water etc.) before higher-order needs can be met.[103]
Humanistic psychology, which has been influenced by existentialism and phenomenology,[104] stresses free will and self-actualization.[105] It emerged in the 1950s as a movement within academic psychology, in reaction to both behaviorism and psychoanalysis.[106] The humanistic approach seeks to view the whole person, not just fragmented parts of the personality or isolated cognitions.[107] Humanistic psychology also focuses on personal growth, self-identity, death, aloneness, and freedom. It emphasizes subjective meaning, the rejection of determinism, and concern for positive growth rather than pathology. Some founders of the humanistic school of thought were American psychologists Abraham Maslow, who formulated a hierarchy of human needs, and Carl Rogers, who created and developed client-centered therapy.
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Later, positive psychology opened up humanistic themes to scientific study. Positive psychology is the study of factors which contribute to human happiness and well-being, focusing more on people who are currently healthy. In 2010, Clinical Psychological Review published a special issue devoted to positive psychological interventions, such as gratitude journaling and the physical expression of gratitude. It is, however, far from clear that positive psychology is effective in making people happier.[108][109] Positive psychological interventions have been limited in scope, but their effects are thought to be somewhat better than placebo effects. The evidence, however, is far from clear that interventions based on positive psychology increase human happiness or resilience.[108][109]


Humanistic psychology is primarily an orientation toward the whole of psychology rather than a distinct area or school. It stands for respect for the worth of persons, respect for differences of approach, open-mindedness as to acceptable methods, and interest in exploration of new aspects of human behavior. As a "third force" in contemporary psychology, it is concerned with topics having little place in existing theories and systems: e.g., love, creativity, self, growth, organism, basic need-gratification, self-actualization, higher values, being, becoming, spontaneity, play, humor, affection, naturalness, warmth, ego-transcendence, objectivity, autonomy, responsibility, meaning, fair-play, transcendental experience, peak experience, courage, and related concepts.
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Existential psychology emphasizes the need to understand a client's total orientation towards the world. Existential psychology is opposed to reductionism, behaviorism, and other methods that objectify the individual.[105] In the 1950s and 1960s, influenced by philosophers Søren Kierkegaard and Martin Heidegger, psychoanalytically trained American psychologist Rollo May helped to develop existential psychology. Existential psychotherapy, which follows from existential psychology, is a therapeutic approach that is based on the idea that a person's inner conflict arises from that individual's confrontation with the givens of existence. Swiss psychoanalyst Ludwig Binswanger and American psychologist George Kelly may also be said to belong to the existential school.[111] Existential psychologists tend to differ from more "humanistic" psychologists in the former's relatively neutral view of human nature and relatively positive assessment of anxiety.[112] Existential psychologists emphasized the humanistic themes of death, free will, and meaning, suggesting that meaning can be shaped by myths and narratives; meaning can be deepened by the acceptance of free will, which is requisite to living an authentic life, albeit often with anxiety with regard to death.


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Personality
Personality psychology is concerned with enduring patterns of behavior, thought, and emotion. Theories of personality vary across different psychological schools of thought. Each theory carries different assumptions about such features as the role of the unconscious and the importance of childhood experience. According to Freud, personality is based on the dynamic interactions of the id, ego, and super-ego.[116] By contrast, trait theorists have developed taxonomies of personality constructs
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Psychological Traps

1. Anchoring Trap
First, there is the so-called anchoring trap, which refers to an over-reliance on what one originally thinks. Imagine betting on a boxing match and choosing the fighter purely by who has thrown the most punches in their last five fights. You may come out all right by picking the statistically more-active fighter, but the fighter with the least punches may have won five bouts by first-round knockouts. Clearly, any metric can become meaningless when it is taken out of context.
For instance, if you think of a certain company as successful, you may be too confident that its stocks are a good bet. This preconception may be totally incorrect in the prevailing situation or at some point in the future.
Take, for example, electronics retailer Radio Shack. Once a thriving seller of personal electronics and gadgets in the 1980s and 1990s, the chain was crushed by online retailers such as Amazon (AMZN). Those trapped in the perception that Radio Shack was there to stay lost a lot of money as the company filed for bankruptcy multiple times and shrinking from its heyday size of 7,300 stores to 70 outlets by the end of 2017.1
In order to avoid this trap, you need to remain flexible in your thinking and open to new sources of information, while understanding the reality that any company can be here today and gone tomorrow. Any manager can disappear too, for that matter.
#2. Sunk Cost Trap
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The sunk cost trap is just as dangerous. This is about psychologically (but not in reality) protecting your previous choices or decisions — which is often disastrous for your investments. It is truly hard to take a loss and/or accept that you made the wrong choices or allowed someone else to make them for you. But if your investment is no good, or sinking fast, the sooner you get out of it and into something more promising, the better.
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If you clung to stocks that you bought in 1999 at the height of the dot.com boom, you would have had to wait a decade to break even, and that is for non-technology stocks.2 It's far better not to cling to the sunk cost and to get into other assets classes that are moving up fast. Emotional commitment to bad investments just makes things worse.

#3. Confirmation Trap
Similarly, in the confirmation trap, people often seek out others who have made and are still making, the same mistake. Make sure you get objective advice from fresh sources, rather than consulting the person who gave you the bad advice in the first place. If you find yourself saying something like, "Our stocks have dropped by 30 percent, but it’s surely best just to hang onto them, isn’t it?" then you are seeking confirmation from some other unfortunate investor in the same situation. You can comfort each other in the short run, but it’s just self-delusion.
#4. Blindness Trap
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Situational blindness can exacerbate the situation. Even people who are not specifically seeking confirmation often just shut out the prevailing market realities in order to do nothing and postpone the evil day when the losses just have to be confronted.
If you know deep down that there is a problem with your investments, such as a major scandal at the company or market warnings, but you read everything online except for the financial headlines, then you are probably suffering from this blinder effect.
#5. Relativity Trap
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The relativity trap is also there waiting to lead you astray. Everyone has a different psychological make-up, combined with a unique set of circumstances extending to work, family, career prospects and likely inheritances. This means that although you need to be aware of what others are doing and saying, their situation and views are not necessarily relevant outside their own context.
"I think a lot of people tend to equate their self worth with their income, or they think that social media, these days puts pressure on people to make it look like they're doing better than they are. And because of that, people feel bad," said Amy Morin, Verywell Mind’s editor-in-chief. "We look at somebody else who has a new car or somebody else whose house looks beautiful and think, 'Oh, why don't I have that?' And those emotions that get stirred up, I think for a lot of people are really difficult. Then how do you decide what you really value in life and what's most important?"
Be aware, but beware too! You must invest for yourself and only in your own context. Your friends may have both the money and the risk-friendliness to speculate in pork belly futures (as in the movie Trading Places), but if you are a modest earning and nervy person, this is not for you.
#6. Irrational Exuberance Trap
When investors start believing that the past equals the future, they are acting as if there is no uncertainty in the market. Unfortunately, uncertainty never vanishes.
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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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Moving averages
The advantages of using moving averages need to be weighed against the disadvantages. Moving averages are trend following, or lagging, indicators that will always be a step behind. This is not necessarily a bad thing though. After all, the trend is your friend and it is best to trade in the direction of the trend. Moving averages ensure that a trader is in line with the current trend. Even though the trend is your friend, securities spend a great deal of time in trading ranges, which render moving averages ineffective. Once in a trend, moving averages will keep you in, but also give late signals. Don't expect to sell at the top and buy at the bottom using moving averages. As with most technical analysis tools, moving averages should not be used on their own, but in conjunction with other complementary tools. Chartists can use moving averages to define the overall trend and then use RSI to define overbought or oversold levels.
Price Crossovers
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Moving averages can also be used to generate signals with simple price crossovers. A bullish signal is generated when prices move above the moving average. A bearish signal is generated when prices move below the moving average. Price crossovers can be combined to trade within the bigger trend. The longer moving average sets the tone for the bigger trend and the shorter moving average is used to generate the signals. One would look for bullish price crosses only when prices are already above the longer moving average. This would be trading in harmony with the bigger trend. For example, if price is above the 200-day moving average, chartists would only focus on signals when price moves above the 50-day moving average. Obviously, a move below the 50-day moving average would precede such a signal, but such bearish crosses would be ignored because the bigger trend is up. A bearish cross would simply suggest a pullback within a bigger uptrend. A cross back above the 50-day moving average would signal an upturn in prices and continuation of the bigger uptrend.
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The next chart shows Emerson Electric (EMR) with the 50-day EMA and 200-day EMA. The stock crossed and held above the 200-day moving average in August. There were dips below the 50-day EMA in early November and again in early February. Prices quickly moved back above the 50-day EMA to provide bullish signals (green arrows) in harmony with the bigger uptrend. MACD(1,50,1) is shown in the indicator window to confirm price crosses above or below the 50-day EMA. The 1-day EMA equals the closing price. MACD(1,50,1) is positive when the close is above the 50-day EMA and negative when the close is below the 50-day EMA.
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Moving averages smooth the price data to form a trend following indicator. They do not predict price direction, but rather define the current direction, though they lag due to being based on past prices. Despite this, moving averages help smooth price action and filter out the noise. They also form the building blocks for many other technical indicators and overlays, such as Bollinger Bands, MACD and the McClellan Oscillator. The two most popular types of moving averages are the Simple Moving Average (SMA) and the Exponential Moving Average (EMA). These moving averages can be used to identify the direction of the trend or define potential support and resistance levels.
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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.

Value Investing
Value investors are bargain shoppers. They seek stocks they believe are undervalued. They look for stocks with prices they believe don’t fully reflect the intrinsic value of the security. Value investing is predicated, in part, on the idea that some degree of irrationality exists in the market. This irrationality, in theory, presents opportunities to get a stock at a discounted price and make money from it.

It’s not necessary for value investors to comb through volumes of financial data to find deals. Thousands of value mutual funds give investors the chance to own a basket of stocks thought to be undervalued. The Russell 1000 Value Index, for example, is a popular benchmark for value investors and several mutual funds mimic this index.

Warren Buffet: The Ultimate Value Investor
But if you are a true value investor, you don't need anyone to convince you need to stay in it for the long run because this strategy is designed around the idea that one should buy businesses—not stocks. That means the investor must consider the big picture, not a temporary knockout performance. People often cite legendary investor Warren Buffet as the epitome of a value investor. He does his homework—sometimes for years. But when he’s ready, he goes all in and is committed for the long-term.

Consider Buffett’s words when he made a substantial investment in the airline industry. He explained that airlines "had a bad first century." Then he said, "And they got a bad century out of the way, I hope."2 This thinking exemplifies much of the value investing approach. Choices are based on decades of trends and with decades of future performance in mind.

Value Investing Tools
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For those who don’t have time to perform exhaustive research, the price-earnings ratio (P/E) has become the primary tool for quickly identifying undervalued or cheap stocks. This is a single number that comes from dividing a stock’s share price by its earnings per share (EPS). A lower P/E ratio signifies you’re paying less per $1 of current earnings. Value investors seek companies with a low P/E ratio.

While using the P/E ratio is a good start, some experts warn this measurement alone is not enough to make the strategy work. Research published in the Financial Analysts Journal determined that “Quantitative investment strategies based on such ratios are not good substitutes for value-investing strategies that use a comprehensive approach in identifying underpriced securities.” 3 The reason, according to their work, is that investors are often lured by low P/E ratio stocks based on temporarily inflated accounting numbers. These low figures are, in many instances, the result of a falsely high earnings figure (the denominator). When real earnings are reported (not just forecasted) they’re often lower. This results in a “reversion to the mean.” The P/E ratio goes up and the value the investor pursued is gone.
What's the Message?

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Forex trading Signals

The message here is that value investing can work so long as the investor is in it for the long-term and is prepared to apply some serious effort and research to their stock selection. Those willing to put the work in and stick around stand to gain. One study from Dodge & Cox determined that value strategies nearly always outperform growth strategies “over horizons of a decade or more.” The study goes on to explain that value strategies have