Markets & After hours

DSM

Well-Known Member
#11
I had made a list of top 10 non fiction books. Following up, here's a list of top 10 English movies - that I have seen and liked. Many movies in this list may not figure in other's list of top 10 - So would like to know of the ones that I have missed...

So here's my top 10 - In no specific order

1. The last Samurai
2. Analyze this
3. Modern Times
4. American Beauty
5. Liar Liar
6. Avatar
7. Gladiator
8. Saving Private Ryan
9. Butterfly on the wheel
10. The Pianist

Rational :

1. The last samurai - Beautifully filmed, a touching story starring Tom Cruise set in a background of war involving the proud and traditional Samurai warriors.

2. Analyze this - Robert Di Nero plays a insecure Mafia boss. Hilarious comedy ensures his interaction with a psychiatrist.

3. Modern Times - Classic comedy starring Charlie Chaplin struggling to live in the modern industrial society.

4. American Beauty - Brilliant acting by Kevin Spacy in a story with dark undertones set in the perfect setting of American suburbia.

5. Liar Liar - Jim Carrey is a lawyer. His life takes a hilarious twist when he can't speak a lie for 24 hours - as his son made a wish on a falling star - and it comes true.

6. Avatar - A 3D movie set in another planet. The story raises questions about morality and ethics.

7. Gladiator - Russel Crowe is a Roman general who is betrayed and fate makes him a gladiator. A gripping movie with amazing action scenes.

8. Saving Private Ryan - A movie set in the backdrop of world war II. A group of soldiers land in Normand and go behind the enemy lines with a mission. Directed by Steven Spielberg.

9. Butterfly on a wheel - A perfect family living a perfect life, which is shattered by another man seeking justice.

10. The Pianist - A story of a Jewish musician's struggle to survive - set amidst the destruction of world war II.
 

DSM

Well-Known Member
#13
Explanations of some important financial terms and concepts / From Investopedia and other sources.

What is ‘T-Bill'
• Short form for Treasury Bills.
• It is a promissory note issued and backed by the US Govt. with a promise to repay.
• Maturity period is less than 1 year.
• Sold in denomination of US$ 1,000 to US$ 5 million at a discount to face value.
• Maturity period of 1-3 months.
• Issued by competitive bidding process.
• Bids start at discount, and the highest bidder gets the T-Bills.
• E.g 3 month T-Bill with a face value of US$ 1,000 may be bid at 980
• On maturity i.e 3 months, the holder will receive the face value i.e US$ 1,000

T-Note
• Short for 'Treasury Note'
• Security that has issue period greater than a T-Bill and lesser than a T-Bond. i.e maturity period between 1-10 years.
• It is issued with a fixed interest rate.
• Pay interest at six month interval.
• Can be purchased either directly from the U.S. government or through a bank.

T-Bond
• Short for ‘Treasury Bond
• Debt issued by the U.S. government.
• Pay interest at six month interval.
• Maturity period is of more than 10 years.

Yield
• The income received on an investment.
• Refers to the interest or dividends received from a security.
• Usually expressed annually as a percentage based on the investment's cost, its current market value or its face value.

Yield Curve
• Set on a graph, a yield curve is a curve shows interest rates across time periods.
• Shows the relationship between interest rate (or cost of borrowing) and the time to maturity, known as the "term".
• Important concept – Inverted yield curve : When lenders are concerned about a potential default (or rising rates of inflation), they offer long-term loans for higher interest rates than they offer for shorter-term loans. Occasionally, when lenders are seeking long-term debt contracts more aggressively than short-term debt contracts, the yield curve "inverts," with interest rates (yields) being lower for the longer periods of repayment.

Coupon

• Interest rate stated on a bond when it's issued.
• It’s another word for interest.
 

DSM

Well-Known Member
#14
Economics 101 continued..... (Souce Investopedia/others)

Inflation
• Inflation is defined as a sustained increase in the general level of prices for goods and services.
• Measured as an annual percentage increase.

Deflation
• General decline in prices.
• Often caused by a reduction in the supply of money or credit.
• Can be caused also by a decrease in government, personal or investment spending.
• Has the side effect of increased unemployment since there is a lower level of demand in the economy, which can lead to an economic depression.

Hyperinflation
• Extremely rapid or out of control inflation.
• There is no precise numerical definition to hyperinflation.
• Hyperinflation is a situation where the price increases are so out of control that the concept of inflation is meaningless.
• Famous examples of hyperinflation occurred in Germany in 1922-23. By some estimates, the average price level increased doubling every 28 hours.

Stagflation
• A condition of slow economic growth and relatively high unemployment accompanied by a rise in prices, or inflation.
• Stagflation occurs when the economy isn't growing but prices are, which is not a good situation for a country to be in.
• This happened to a great extent during the 1970s, when world oil prices rose dramatically, fueling sharp inflate

Monetary Policy
• The actions of a central bank or currency boards that determine the size and rate of growth of the money supply, which in turn affects interest rates.
• Monetary policy is maintained through actions such as increasing the interest rate, or changing the amount of money banks need to keep as reserves.
• In the United States, the Federal Reserve is in charge of monetary policy.
• Monetary policy is one of the ways that the U.S. government attempts to control the economy.
• If the money supply grows too fast, the rate of inflation will increase; if the growth of the money supply is slowed too much, then economic growth may also slow.
• In general, the U.S. sets inflation targets that are meant to maintain a steady inflation of 2% to 3%.

Accomodative Monetary Policy
• When a central bank (such as the Federal Reserve) attempts to expand the overall money supply to boost the economy when growth is slowing (as measured by GDP).
• This is done to encourage more spending from consumers and businesses by making money less expensive to borrow by lowering the interest rate.
• Furthermore, the Federal Reserve also has the authority to purchase Treasuries on the open market to infuse capital into a weakening economy.

Current Account
• The difference between a nation’s savings and its investment.
• It is an important indicator about an economy's health.
• It is defined as the sum of the balance of trade (goods and services exports less imports), net income from abroad and net current transfers.
• A positive current account balance indicates that the nation is a net lender to the rest of the world, while a negative current account balance indicates that it is a net borrower from the rest of the world.
• A current account surplus increases a nation’s net foreign assets by the amount of the surplus, and a current account deficit decreases it by that amount.
• The current account and the capital account are the two main components of a nation’s balance of payments.
• A country’s current account balance is influenced by factors such as – its trade policies, exchange rate, competitiveness, forex reserves, inflation rate and others.
• During a strong economic expansion, import volumes typically surge; if exports are unable to grow at the same rate, the current account deficit will widen. Conversely, during a recession, the current account deficit will shrink if imports decline and exports increase to stronger economies.
• The currency exchange rate exerts a significant influence on the trade balance, and by extension, on the current account.
• An overvalued currency makes imports cheaper and exports less competitive, thereby widening the current account deficit (or narrowing the surplus).
• An undervalued currency, on the other hand, boosts exports and makes imports more expensive, thus increasing the current account surplus (or narrowing the deficit).
• Nations with chronic current account deficits often come under increased investor scrutiny during periods of heightened uncertainty.
• The currencies of such nations often come under speculative attack during such times.
• This creates a vicious circle where precious foreign exchange reserves are depleted to support the domestic currency, and this forex reserve depletion - combined with a deteriorating trade balance - puts further pressure on the currency.
• Embattled nations are often forced to take stringent measures to support the currency, such as raising interest rates and curbing currency outflows.
 

narayan78

Well-Known Member
#15
DSM bhai,

Nice Education and Entertainment (Relaxing ) Thread :) :thumb:

(In that entertainment also something to learn)


I liked "American Beauty when I first saw"

Though I find it difficult to understand foreign conversation ( not like the english they taught in our school) :)


Titbits of the movie --- the parts I liked



The movie starts with self talk of a dead man (or dying).


The Auditorium Dream Sequence ---- cheerleaders dancing-with great music

Rose petals falling from the ceiling --- with a nice background music.

When he shows his character ---- The real character with the girl(who he had a crush) in the climax.

with cheers,
narayan.
 

DSM

Well-Known Member
#16
Narayan Bro,

Unfortunately our hangout - Las Vegas thread closed. So wanted one where there is information, education, motivation and reflection for traders.
Something that will reduce stress, have positivity and where after spending time, there is something to inspire, learn or gain..... Lets see how it goes.

Look forward to contribution from more members. Cheers and Have a great weekend.

DSM bhai,

Nice Education and Entertainment (Relaxing ) Thread :) :thumb:

(In that entertainment also something to learn)


I liked "American Beauty when I first saw"

Though I find it difficult to understand foreign conversation ( not like the english they taught in our school) :)


Titbits of the movie --- the parts I liked



The movie starts with self talk of a dead man (or dying).


The Auditorium Dream Sequence ---- cheerleaders dancing-with great music

Rose petals falling from the ceiling --- with a nice background music.

When he shows his character ---- The real character with the girl(who he had a crush) in the climax.

with cheers,
narayan.
 

DSM

Well-Known Member
#17
An interesting article that I had come across on the net and saved it in word doc in my library. Some of these aspects will blindside or influence negatively in out trading decisions as well.... Something to think about....

Thinking traps.

Our minds set up many traps for us. Unless we’re aware of them, these can seriously hinder our ability to think rationally, leading us to bad reasoning and making wrong decisions. Features of our minds that are meant to help us may, eventually, get us into trouble. Here are the most harmful of these traps and how to avoid each one of them.

1. The Anchoring Trap: Over-Relying on First Thoughts
“Is the population of Turkey greater than 35 million? What’s your best estimate?”
Researchers asked this question to a group of people, and the estimates were seldom too far off 35 million. The same question was posed to a second group, but this time using 100 million as the starting point. Although both figures were arbitrary, the estimates from the ’100 million’ group were, without fail, concomitantly higher than those in the ’35 million’ group.
Lesson: Your starting point can heavily bias your thinking: initial impressions, ideas, estimates or data “anchor” subsequent thoughts.
This trap is particularly dangerous as it’s deliberately used in many occasions, such as by experienced salesmen, who will show you a higher-priced item first, “anchoring” that price in your mind, for example.

2. The Status Quo Trap: Keeping on Keeping On
In one experiment a group of people were randomly given one of two gifts — half received a decorated mug, the other half a large Swiss chocolate bar. They were then told that they could effortlessly exchange one gift for the other. Logic tells us that about half of people would not get the gift they preferred and would hence exchange it, but in fact only 10% did!
We tend to repeat established behaviors, unless we are given the right incentives to entice us to change them. The status quo automatically has an advantage over every other alternative.

3. The Sunk Cost Trap: Protecting Earlier Choices
You pre-ordered a non-refundable ticket to a basketball game. On the night of the game, you’re tired and there’s a blizzard raging outside. You regret the fact that you bought the ticket because, frankly, you would prefer to stay at home, light up your fireplace and comfortably watch the game on TV. What would you do?
It may be hard to admit, but staying at home is the best choice here. The money for the ticket is already gone regardless of the alternative you choose: it’s a sunk cost, and it shouldn’t influence your decision.

4. The Confirmation Trap: Seeing What You Want to See
You feel the stock market will be going down and that now may be a good time to sell your stock. Just to be reassured of your hunch, you call a friend that has just sold all her stock to find out her reasons.
Congratulations, you have just fallen into the Confirmation Trap: looking for information that will most likely support your initial point of view — while conveniently avoiding information that challenges it.
This confirmation bias affects not only where you go to collect evidence, but also how you interpret the data: we are much less critical of arguments that support our initial ideas and much more resistant to arguments against them.
No matter how neutral we think we are when first tackling a decision, our brains always decide — intuitively — on an alternative right away, making us subject to this trap virtually at all times.

5. The Incomplete Information Trap: Review Your Assumptions
Harry is an introverted guy. We know that he is either a librarian or a salesman. Which one do you think he most probably is?
Of course, we may be tempted to think he’s almost certainly a librarian. Haven’t we been conditioned to think of salesmen as having outgoing, if not pushy, personalities? Too bad this reasoning may be dead wrong (or at least incomplete).
This conclusion neglects the fact that salesmen outnumber librarians about 100 to 1. Before you even consider Harry’s character traits, you should have assigned only a 1% chance that he’s a librarian. (That means that even if all librarians are introverted, all it takes is 1% of introverts among the salesmen to make the chances higher for Harry being a salesman.)
That’s just one example of how overlooking a simple data element can make our intuitions go completely astray. We keep mental images — simplifications of reality — that make we jump to conclusions before questioning assumptions or checking whether we have enough information.

6. The Conformity Trap: Everybody Else Is Doing It
In a series of experiments, researchers asked students in a classroom a series of very simple questions and, sure enough, most of them got the answers right. In another group, they asked the same questions but this time there were actors posing as students, purposefully pushing wrong answers. This time around, many more students provided wrong answers based on the leads from the researchers’ assistants.
This “herd instinct” exists — to different degrees — in all of us. Even if we hate to admit it, other people’s actions do heavily influence ours.

We fear looking dumb: failing along with many people is frequently not considered a big deal, but when we fail alone we must take all the heat ourselves. There’s always peer pressure to adopt the behaviors of the groups we’re in.
This tendency to conform is notoriously exploited in advertising. Businesses often sell us products not based on their features, but by showing how popular they are: since others are buying it in droves, why would we not join them?
Conformity is also one of the main reasons why once a book makes into a well-known best-sellers list, it tends to “lock in” and continue there for a long time. People like to consume what “everybody else” is consuming.

7. The Illusion of Control Trap: Shooting in the Dark
Have you noticed that the vast majority of lotto players pick their own numbers instead of using the sometimes available ‘auto-pick’ option (where the point of sales terminal chooses the numbers for you)? We all know that however the numbers are chosen doesn’t change the chance of winning, so why the strong preference for picking our own numbers?
Curiously, even in situations we clearly can’t control, we still tend to irrationally believe that we can somehow influence results. We just love to feel in control.
Of course, it’s always easier to illustrate this trap with chance games, but the tendency to overestimate our personal control of events influences every aspect of our daily lives.
Unfortunately, contrary to the lottery example above, the outcomes of our decisions are usually complex and interconnected. It’s hard to assess to what extent we’re responsible for the results we get. While some of the outcomes can be traced back to our own choices, a part of them will surely remain just as well out of our direct control.

8. The Coincidence Trap: We Suck at Probabilities
John Riley is a legend. He won a one-in-a-million-chance lottery… twice! That makes it a 1-in-a-trillion event — which means that the lottery is rigged or maybe John must have been singled out by Lady Luck, right?
Well, not really. Let’s try a little math: If, throughout the years, 1000 lottery winners keep playing at least 100 times attempting the “miracle” of winning it once more, that adds up to a non-negligible chance of 10% that someone will make it.
This means that the “miracle” is not only possible but — given enough attempts — its likelihood increases to a point of becoming almost inevitable.
Another classic example: it takes a group of just 23 people to make it more likely than not that two of them share the same birthday (day and month).
That’s how unintuitive probabilities are.

9. The Recall Trap: Not All Memories Are Created Equal
What’s your best guess for the probability of a randomly selected flight ending in a fatal crash? While many people grossly overestimate it, MIT studies show that in reality these fatal accidents happen at a rate of only 1 in 10,000,000.
The fact that people suck at estimating probabilities explains only partially this tendency to mis-estimate: if you ask the same question right after a major airplane accident, be prepared for even more biased assessments.
What happens is we analyze information based on experience, on what we can remember from it. Because of that, we’re overly influenced by events that stand out from others, such as those with highly dramatic impact or very recent ones. The more “special” an event is, the greater the potential to distort our thinking. Of course, no one ever bothers about the other 9,999,999 planes that arrive safely at their destinations — so there’s nothing more natural than forgetting about them.

10. The Superiority Trap: The Average is Above Average
A study surveyed drivers asking them to compare their driving skills to other people in the experiment. Almost all the participants (93%!) rated themselves as ‘above average’.
With few exceptions, people have much inflated views of themselves. They overestimate their skills and capabilities, leading to many errors in judgment.
And this is the reason I decided to close this article with this particular thinking trap. After making ourselves aware of these many thinking traps, we may now become susceptible to falling into a new one: the belief that we’re now immune to them.

Of course, the first step to avoid thinking traps is awareness and constant vigilance, but beware: it’s much, much easier to notice others falling into these traps than us.
 

DSM

Well-Known Member
#18
As a part of my endeavor to better myself 1% each day in trading or otherwise :) was looking for ideas on how to trade in volatile environment - something that I usually avoid. Came across this system called Volatility Breakout System - This article is authored by Linda Bradford Raschke

Breakout systems can actually be considered another form of swing trading, (which is a style of short term trading designed to capture the next immediate move). In other words, the trader is not concerned with any long term forecast or analysis, only the immediate price action.

Volatility breakout systems are based on the premise that if the market moves a certain percentage from a previous price level, the odds favor some continuation of the move. This continuation might only last one day, or go just a little bit beyond the original entry price, but this is still enough of a profit to play for. A trader must be satisfied with whatever the market is willing to give.

With a breakout system, a trade is always taken in the direction that the market is moving at the time. It is usually entered via a buy or sell stop. The bit of continuation that we are playing for is based on the principle that momentum tends to precede price. There is also another principle of price behavior that is at work to create trading opportunities. That is, the market tends to alternate between a period of equilibrium (balance between the supply and demand forces) and a state of disequilibrium. This imbalance between supply and demand causes “range expansion”, (the market seeking a new level), and this is what causes us to enter a trade.
There are several ways to create short-term volatility breakout systems. I have found that different types of systems based on range expansion test out quite similarly. Therefore, whichever method you choose should be a matter for your own personal preference.

In designing a system, one can choose to place an entry stop off either the opening price or the previous day’s closing price. This entry stop can be a function of the previous day’s range or a percentage of the previous 2.10-day range, etc. Mechanical exits can range from using a fixed objective level to using a time function such as the next day’s open or close. Most of these systems function best when a very wide stop is used.

Another way of trading the breakout mode is by using “channel breakouts” which is simply buying the highest high of the last seven days in the case of a 7-period channel or the highest high of the last 2 days in the case of a 2-period channel breakout. In the case of an inside day breakout pattern where one buys the high or sells the low of the previous bar, a 1-period channel breakout is actually being used for the trigger. The most famous long-term breakout system adapted by Richard Dennis for training the “Turtles” was the 4-week channel breakout originally designed by Richard Donchian. Other breakout systems can be based on chart patterns (i.e., Curtis Arnold’s Pattern Probability System), trendline breaks, breakouts above or below a band or envelope of prices, or variations of simple range expansion functions.
Training Benefits for the Novice Trader Derived from Trading a Volatility Breakout System:

Trading a short-term breakout system can be one of the best exercises to improve your trading.

• First, it teaches you to do things that are hard to do – buying high or selling low in a fast moving market! For most people, this feels quite unnatural!
• Second, it always provides a defined money management stop once a trade is entered. Not adhering to a defined money management stop is the most common cause of failure among traders.
• Third, it teaches a trader the importance of follow-through once a trade is entered, as most breakout systems perform best when the trade is held overnight.
• Last, it provides a great means for traders to improve their execution skills. Most volatility breakout systems are fairly active compared to a long-term trend following system. A trader can gain skill in placing orders in a diverse number of markets. Having a mechanically defined entry point is sometimes just the thing needed to overcome a trader’s fear of pulling the trigger. The order is placed ahead of time and the market then automatically pulls the trader into a trade if the stop level is hit.

Even if a person prefers to ultimately enter orders using discretion, trading a mechanical volatility breakout system can still be an invaluable exercise. It should at least increase a trader’s awareness of certain types of price behavior in the marketplace, especially if one is conditioned to entering on counter-trend retracement patterns. It can’t but help impress upon one the power of a true trend day.

Pros and Cons of Trading a Breakout System:

Like most systems, volatility breakout systems will clean up in volatile or runaway markets but tend to thrash when conditions get choppy or volume dries up. I believe they are still among the most profitable type of system to trade, and I also feel they will continue to be profitable in the long run. They are “durable” and “robust”, though they tend to deteriorate when too large of an order is placed (i.e., greater than 50 contracts). However, so that you do not get the impression that there is a Holy Grail of systems, the following considerations should be kept in mind:

Entries can be nerve-racking, especially when the market is in a runaway mode. The best breakouts won’t give you retracements to enter on. You are either on board or you are not! If you conceptualize that the best breakouts turn into trend days, and are most likely to close on the high or low for the day, then it is not so difficult to enter. Usually it is best to have a buy/sell stop already resting in the marketplace.

Sometimes a market gaps open outside your initial entry level. These often turn into the best trades. They can also turn into the most aggravating whipsaws. Big gaps test out that one should still take the trade, but they will definitely add more volatility to your bottom line. If your trade gets stopped out and an new signal is given in the opposite direction, this reversing trade usually more than makes up for the first loss.

Whipsaws are a drag but they are also inevitable when trading a breakout system. Many times I have bought the highs and sold the lows. It takes a great deal of “confidence in the numbers” to trade this type of system. System testing should be done for a minimum of 3 years, preferably 10. Be sure to then examine out of sample data to see how the system performed.

On balance, a volatility breakout system can be traded on most all markets. However, a market might be very profitable one year and yet perform mediocre at best the next. A portfolio of 10 to 12 markets seems to work well. The problem with trying to trade too many markets at once is that it can become quite difficult to keep up with the activity level if your parameters are fairly sensitive. Many times in systems development, people overlook what one person can realistically manage.

Enhancing a Basic Volatility Breakout System:

Adding filters can sometimes create further enhancements. Examples of types of filters include: indicators to determine whether or not a market is in a trending condition, seasonality, days of the week, or degree of volatility contraction already present in the market. Periods of low volatility in the market can be defined by a contraction in true range, a low ADX, or a statistical indicator such as a low historical volatility ratio or a low standard deviation.

A system then might look something like this:

1. Initial volatility condition = true
2. Buy or Sell on a stop based on the current bar’s open, plus or minus a percentage of the previous day’s range.
3. Initial Risk management stops once a trade is entered.
4. Exit strategy.

Types of variables which can be used in a simple range expansion breakout system:

1. Period – is the breakout based on a function of the previous day or the previous 10-day period, for example?
2. Range – does it use the average range for that period or the largest, smallest, or total range?
3. Percentage – what percentage of the range is used? It is possible, for example, to use 120% of the previous 3-days’ total range.
4. Base – is the range function added to the previous day’s close or the current day’s open. This function may also be added to the high or low of the previous bar or a previous period such as the last 10 days.

As a general rule of thumb, the greater the percentage factor used, the greater the percentage of winning trades will be. However, the overall system may be less profitable because fewer trades are taken.
Once again, an example of an initial condition might be: Enter a trade only on a day following the narrowest range of the last 7 days. Or, take a trade only if the market has made a new 20-day high or low within the last five trading days. Whenever you add a filter to a system, be sure to compare the results to a baseline and examine the difference in activity level.

EXIT STRATEGIES:

1. Time based (2nd day’s close, 1st day’s opening)
2. First profitable opening (Larry Williams)
3. Target or objective level (1 average true range, previous day’s high/low)
4. Trailing stop (displaced moving average, parabolic, 2-day high/low)

RISK:

Controllable Risk – the amount of risk which can be predetermined and defined by a money management stop.
Types of money management stops:
1. fixed dollar amount
2. function of average true range
3. price level (i.e., bar high/low)

Uncontrollable Risk:

1. Overnight exposure (close to open risk). You cannot exit a position when the market is not trading. Thus, you are subject to adverse gaps, which can be exaggerated by news or events.
2. Slippage risk. Fast market conditions or thin, volatile markets often cause a trader to get filled at prices much worse than expected.
In general, the numbers behind most systems are very dependent upon capturing a few good trades. You can’t afford to miss the one good trade that can make your month.

Here are some tips for trading this or any other system:
1. Gain confidence by first trading a system on paper.
2. Make sure you can successfully trade a system mechanically before attempting to add any discretion.
3. Track your actual performance against the mechanical system at the end of each day, rating your success by whether you can match the system’s performance.
4. Monitor performance over an adequate sample, perhaps 100 trades or a set number of weeks. Do not let a down week or trade deter you.
5. Manage the exits rather than filter the entries. It is impossible to tell in advance which trades will be the good ones. The one entry skipped might be the BIG ONE, and one can’t afford to miss it. Managing the exit means two things: The first, learn when it’s okay to let that occasional great trade run an extra hour or two before getting out; the second (which really depends on one’s skill level), learn to recognize a bit sooner when a trade is not working and exit just before the stop is hit.
All systems display subtle nuances and insights into the market’s behavior over time.
6. Keep a notebook of your observations and patterns you notice. In this way you truly “make the system your own”.
7. Never be concerned about how many other people are trading systems. If slippage seems excessive, it often suggests a significant breakout from a triangle or period of congestion. Remember: Something had to drive the market far enough to penetrate the breakout point in the first place!

If you are interested in reading more on the principle of range expansion/range contraction, Toby Crable pioneered some of the finest research in this area. I would strongly recommend his book Day Trading with Short Term Price Patterns and Opening Range Breakouts. The research in this book provides one of the most solid platforms for developing volatility breakout systems based off the opening price. Toby is a CTA who now manages over 100 million dollars based on some of these techniques. Another excellent value is Curtis Arnold’s book, PPS Trading System. He discloses a different type of system based on breakouts of traditional chart patterns as identified in Edwards and Magee’s book Technical Analysis of Stock Trends (another classic book which should be in every serious market technician’s library!). Curtis’s original system sold for over $2,000. The book is essentially the same thing and sells for less $50!
 

DSM

Well-Known Member
#19
Just checked in to see DOW's closing on Fri. - It was -1.19% On charts it's looks like a pattern - Slide :) Of course, there's nothing like that in TA, but if one were to look at DOW's chart for Fri. They could easily identify it as a children's slide in a playground. Dow opened at High of the Day, and Closed at Low of the Day. A steady and gradual declining slope.

Now that the Fed. tapering issue is known to all, the market has digested the good news, and DOW closed negative (Slide pattern :) ) on Fri. So it looks like a weak or negative open on Monday - Unless there is some unexpected good news for the markets from the far east.

Let's see what unfolds.... One thing important as traders, no matter what positions we hold - Long or Short - The important thing is how we manage them... That's the hallmark of good traders.... Am personally holding calls bought after the fall on Fri. once the market had stabilized. They are in the money for now. But if the open on Monday does not look positive, like any good trader will do, need to close the long (no matter what the chart patterns say - that our markets do not look weak as of now) and even go short. That's one advantage for an individual trader - the ability to be flexible and to change his position on a dime. i.e if we are not married to our position, and our trading reflects the market realities and is in tune with it.

Let's see what happens......
 

DSM

Well-Known Member
#20
Was reading an article on human bias and error in thinking and many times we are not even aware we are wrong, and carry on nevertheless.... :)

This simple question was posed to students attending either Harvard or Yale.
50% students got it wrong. Eighty percent of the students from other Universities also got it wrong - BTW It stumped me as well.

Without recourse to Google anybody can you answer? (No need to post the answer - but just for yourself to gauge your thought process)

Q: A bat and a ball together cost $1.10. The bat cost $1.00 more than the ball. How much does the ball cost?
 

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