THE TRADING BOOK ANNE-MARIE BAIYND PDF

Chapter One An Introduction to the Markets "You cannot step twice into the same rivers; for other waters are ever flowing onto you. As Mark Twain once said, "History does not repeat itself, it merely rhymes. The general "introduction to the markets" chapter normally describes the basic structure of the markets with equities, futures, forex, or some other trading instrument. Although that is important, and the structures are a good thing to understand, I will leave that to other authors. The nature of this work suggests we take an alternate view of the market at the outset in the not-so-typical way—not the overview of the forest, but a look through the trees while keeping very aware of the fact that we are in a forest.

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Chapter One An Introduction to the Markets "You cannot step twice into the same rivers; for other waters are ever flowing onto you.

As Mark Twain once said, "History does not repeat itself, it merely rhymes. The general "introduction to the markets" chapter normally describes the basic structure of the markets with equities, futures, forex, or some other trading instrument.

Although that is important, and the structures are a good thing to understand, I will leave that to other authors. The nature of this work suggests we take an alternate view of the market at the outset in the not-so-typical way—not the overview of the forest, but a look through the trees while keeping very aware of the fact that we are in a forest. This view is even more unusual when we consider that our approach to trading will be largely technical in nature.

Our ability to grasp this view, however, will assist us in observing the market as an entity, not just an amalgam of technical pieces, and that, in turn, will transform you into a trader who thinks on a grand and, at the same time, granular scale. By accepting that the market is an entity in constant flux, we cannot approach trading in a cookie-cutter manner, no matter how much we would like to.

Instead, to trade at maximum efficiency, we must set that cookie cutter aside to make real tracks toward our end goal of superior, consistent returns. The same actions will not always be required in response to occurrences of the same type all the time. Did the full impact of that sentence seep through? The markets are never exactly in the same place twice, and each time we witness a technical event, the meaning of that event may not be the same as the last time we saw it.

The markets require that we remain in a thinking and analytic state in order to perform well within it. The day is never as simple as the "if-then" statement. If you are looking for that kind of road map in trading, your search will be exhausting, never ending, and oh, by the way, an exercise in futility. It is never as simple as "tell me when to buy and sell. We will need the power of discretionary thought to move through our trades.

Only then will we achieve excellence in performance. By then, the market has usually charged us dearly for the access to the knowledge. Yes, the road most traveled, indeed. So how do we navigate the markets as a technician? In order to answer that question, we must ask ourselves the following question. Technical trading uses charting methods and analyses to determine market movement. Completely different to fundamental analysis, all technical analysis uses are the formations that the charts develop as the stocks move through particular price points.

It is a method that assumes there is a way to discover patterns that accurately predict future events based on prior market formations. Technical trading attempts to identify areas of entry and exit that skew our chances of being correct to greater than a coin toss fifty-fifty.

The use of technical indicators does not imply causality; that is, one event does not cause the other. Instead, we approach the technicals in the framework that they have a likelihood of appearing together. This can also be called probability bias. In case the following thought has not occurred prior to this moment, we actually use probability bias in every aspect of our lives.

Some of the most common events utilize the bias, such as knowing that if you see the mailman driving down the street, it is likely that your mailbox will have something in it shortly.

Will it happen every single time? Maybe not, but it sure does happen a lot. Does our mailman cause us to have mail? No, he does not. What causes us to have mail is the person or persons who mailed us. He just happened to be the conduit of transport. What about the caller ID on our phone showing the chattiest friend we have calling?

Will our friend talk ad nauseam every time? Perhaps, and perhaps not. Again, it is the possibility of the event that we are considering that causes us to contemplate a decision. So it is with technical trading. We work on identifying patterns that seem to happen in clusters, and we choose to make decisions based on what we assume is highly probable of occurring. We make the choices simple, but decisions to execute and act will always be less than completely straightforward.

Our ability to discern the minor shifts in the market action that might require us to take the extra step, waiting for further confirmation another signal before our decision to enter or exit the trade, will be the delineator between success and failure. People who are not acutely aware of markets and how they operate will argue this fact without ceasing. There are also scores of other books that suggest that Keynesian economics a theory that states that government intervention is not only favorable but highly necessary for markets to run well is necessary for order in markets to continue.

The market is a giant pendulum that swings from one extreme to the other, forced there by a variety of reasons that numerous pundits pontificate inaccurately many times daily. If we know the market operates as a giant swing, then as traders we must work at being keenly aware of the direction of the oscillations and signals that accompany tipping points, which often lead to reversal.

There are no markets that operate efficiently on a consistent basis; instead, the ebb and flow caused by sentiment shift, panic, euphoria, greed, and disbelief drives us through the peaks and valleys.

If we can firmly cement this simple concept, we will avoid one of the worst mistakes an inexperienced trader will make: trading what we think and not what we see. Yes, this statement does need some qualifiers, so here they are. First, if we think something seems logical, we need to wait for the market to prove us out before we go "all in on margin" because we are sure of what the market will do next. So we know that the number is going to be bad, and when the number is bad, the market usually takes a dip.

We are very keen and excited about trading this piece of news giving us the "edge" and the jump on catching the dip. Thursday morning, as we suspect, the numbers are dreadful, but amazingly, the market moves upward does this story sound familiar to anyone? We were correct in our anticipation of the poor numbers release.

Did we look to see what the projected number was going to be? Did we notice if the market was pulling back days before and thus pricing the number in? These are market nuances that the new retail trader spends little time reviewing and, because of it, she ends up on the wrong side of the trade. One of many news flashes: trading the news can be hit or miss, and, mostly, it is miss. Because we are not privy to all the moving parts often, and making decisions with a lack of proper information leads to poor choices in the trading realm.

Now, as we develop skill, market knowledge, and understanding of basic market rhythms, what seems logical will come closer to what we expect, but no matter how much we think we understand, it is always the best discretion to let the market show us where it is going and just simply follow this would be prudent , rather than predict where the market is going and place a position this would be gambling.

We come in with five thousand and expect to leave with a million at the end of the month. Realize that we expose ourselves to this same "gambling" element if we opt to participate in a k , or anything that uses our liquid capital to multiply itself. In my experience, many traders from the retail side who come into trading fall into it—they lose their primary source of income and decide that they will trade their k to generate copious amounts of cash and quickly move to basking in the Tahitian sunshine.

Or they enter with a small account, lured by the promise of extraordinary success usually through outrageous advertising , and trade with completely unrealistic expectations and, by default, an extremely high level of risk.

It is highly likely that if we entered the market as an average retail trader, our hopes were most likely unrealistic due to a large gap in our knowledge of how and when markets move, and why. So many traders come in expecting to make 10, 20, 50 times the returns of the greatest investors and traders of our time.

Why is that? A lack of knowledge, understanding, and perspective. Can you help me do that? Is that feasible? Is that even a rational thought? In order for us to be successful, we must come to terms with what we have at our disposal, realize our limitations, build on our weaknesses, and position ourselves to be winners. Returns like that carry enormous amounts of risk and usually take accounts to ruin.

Some of the greatest traders and investors of our time lost sight of risk, began to gamble, and ended up destroyed and penniless. If we can agree that gains like the ones just mentioned are less than common, what can we expect from a perspective of practicality working in the market? That answer solely depends on what it is we know and how well we are able to use what we know. What we know about the market is impossibly difficult to identify if we are novice traders. There are two types of information in the market: 1.

Actionable information 2. Everything else Certainly, I write that a bit tongue in cheek, but becoming successful is not about amassing vast quantities of information based on economic theory and general market relationships.

There are a lot of brilliant, highly informed, and intelligent people in the financial space who have no trading ability whatsoever. Lots of knowledge or understanding of what are thought to be general market dynamics does not necessarily make for a good trader.

Only the application of very specific knowledge at a very specific time will make for good trades. Everything else is noise.

The Importance of Filtering Noise We filter noise every moment of our waking lives. We lose focus of the music in our car so that we can pick up the sound of the fire engine closing ground behind us. We filter our senses by lack of attention to the sensory input. This is a necessary element of our existence, and in fact, our ability to thrive as human beings. When it comes to trading, however, we forget how important this mechanism is to our survival.

We lose our ability to filter the necessary from the unnecessary. Maybe because we believe more is always better, we choose to go after as much information as possible. I am not saying this is incorrect. What I am saying is that if your answer to the question "Why am I collecting this information?

Filtering garbage from usable data will be one of the most difficult things we will ever have to do as a short-term swing or day trader. What does this garbage look like? Simply, it is wrapped in a package of opinion, not based purely on verifiable data; it is conjecture without evidence.

EPIDIDIMO HISTOLOGIA PDF

Anne-Marie Baiynd

Bollinger bands Day trading: 25 SMA, 2. We are going to be studying a momentum-based trading system, and without momentum, our trades will fail. If there is no directional slope, a good trade is not available. Entries Are More Important Than Exits The entry of a position is vastly more important than the exit, because the entry manages the risk threshold. Moreover, very often we will enter a position that will go against us. However, the sharper the acceleration, the less likely the pullback to the slower moving average.

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