14 Teknologi yang Mengubah Kehidupan Kucing

Rate Hike Unlikely on Slowing US Economy | Trading Forex

According to the Commerce Department, retail sales barely rose in September, edging up only 0.1 percent last month largely due to cheaper gasoline which pushed gas station receipts down 3.2 percent. Producer prices reported their biggest decline in eight months.
The Commerce Department report showed that retail sales excluding automobiles, gasoline, building materials and food services slipped 0.1 percent last month after a downwardly revised 0.2 percent gain in August.
Reports show that the economy has been losing momentum as a result of a dollar that has strengthened against other major currencies, sluggish global growth and lower oil prices that are impeding capital spending in the energy sector. All these factors have contributed to a halt in job growth in the past two months.

No Rate Hike Foreseen

According to Paul Ashworth, chief U.S. economist at Capital Economics in Toronto, "The softness of September's figures supports our view that the Fed probably isn't going to hike interest rates until early next year."
The Commerce Department report also showed that business inventories remained unchanged again in August, triggering JPMorgan to cut its third-quarter GDP estimate by half a percentage point to an annual rate of 1 percent.
The economy grew only 3.9 percent in the second quarter while discretionary spending, which could provide some cushioning against weakening global growth, remained somewhat healthy as consumers bought automobiles and furniture and spent more on hobbies, clothing and dining out.

Beware Shorting Stocks | Trading Forex

In Forex, we talk about going long and short all the time without really considering any difference between them. That’s because in Forex there is not really any “long” or “short”: when you are trading a currency pair, you are really spread trading, always long one currency and short another.
Before we continue, let’s define these terms “long” and “short”.
“Long” simply means you have bought something. If you are long stocks, you have bought stocks.
“Short” means that you have borrowed an asset which you will pay back at the same price it was at when you borrowed it. You hope it will fall, so you can sell it, pay back the original borrowing. And pocket the difference.
In Forex this doesn’t really matter, because you are always buying one currency with another, so you are always long of one currency and short of another one. In trading stocks or commodities it is a little different. You are always either long or short cash against a real asset. Especially in stocks, there is a real difference between long and short. This is because stock markets have a long bias, meaning over any given period of time they have a statistical propensity to rise. Identifying periods of prolonged and continuing falls in the levels of major stock indices is very hard and perhaps even impossible to perform with technical analysis.
The major stock index is the S&P 500, which is an index composed of the 500 major U.S. stocks. It has been in existence since 1957 but it is possible to extrapolate its values for some years before then. Let’s take a look at how this index has performed historically.

S&P 500 Index: Long Bias Demonstration

Let’s imagine first of all that we just bought the Index every week since 1950. This would have produced an average weekly result of 0.18%. This is quite incredible and shows just how resilient the American stock market has been over the past 65 years taken as a whole. It is a clear demonstration of the index’s long bias, suggesting that when you are going short, all other things being equal you have the odds arrayed against you. Of course, we really need to apply a trend-following model to try and get a better idea of the Index’s behavior. Additionally, we will probably get more applicable results if we restrict any back testing to something close to the last 20 years.
So if we look at the S&P 500 Index since 1997, let’s say we buy only at weekly opens where the price is higher than it was both 3 and 6 months ago, and sell when the opposite is the case. This kind of trend-following strategy tends to produce positive results with USD denominated Forex pairs and also with common commodities.
However, when applied to the S&P 500, this strategy can produce positive results on the long side, but only losing results on the short side:
Long weeks: 531 trades, average weekly performance =+0.09%
Short weeks: 227 trades, average weekly performance = -0.06%
No matter which look back periods we use to filter the signals, ANY period of time that we use on the short side produces an average negative result, while just about any period of time we might apply to the long side achieves a positive results.

Which Stock Markets Have a Long Bias?

The first question you might ask yourself at this point is whether all stock indices are like this? We should divide this question into Geography and Sector. For example, if we look at the NASDAQ 100 Index, these are still composed of U.S. stocks, but it is a specific sector of technology stocks. Indices that are composed of specific types of stocks might be more liable to be statistically predictable on the short side.
If we look back through the NASDAQ 100 Index from 1997, we can see that it also has a long bias: in an average week during this period, it rose by 0.12%. Again, we find the same impossibility to construct a profitable momentum strategy on the short side.
Maybe the story is just the amazing resilience of the U.S. stock market. If we tried another key index located in another place geographically, perhaps we can get a good result on the short side.

Geographical Discrimination

What if we looked at a stock market outside the United States? This might give us an example where we can construct a better model for predicting short-term direction profitably on the short side. One good example to use might be the Japanese Nikkei 225 Index, as it is well-known that the Japanese stock market has underperformed over several recent years.
First of all, if we look back from 1997, overall there is actually a SHORT bias here: over the average week, the index fell by 0.28%. So it is no surprise that it is possible to construct a profitable model for the short side here. Let’s see what happens when we apply the 3 month / 6 month test to the Nikkei 225 Index:
Long weeks: 388 trades, average weekly performance =+0.05%
Short weeks: 353 trades, average weekly performance = +0.20%
Here we have a model that is profitable at both ends.

Don’t Use Technical Analysis to Short American Stock Markets

The moral of the story might be that U.S. stock markets have historically been too long to short as part of a trend-following strategy, at least if you are shorting a major index. It might be a better idea to use another judgement as to when to try to get in on a short move. Generally, bear markets fall faster and pass more quickly than bull markets. I think most candlestick analysts would agree with me when I say that a daily chart of the S&P 500 Index is suggestive of a coming fall. However, if you are going to try to take advantage of it, don’t use traditional trend-following techniques, and be prepared to grab profits when the price is falling like a stone!

Note how the Index has struggled to make a new high since March, which is about ten months ago. A few weeks ago a bearish trend line became established across the tops, and over recent weeks we have seen a steeper trend line get established. If this trend line holds, it will soon push the Index down to around the 1900 area. This area has acted as major support twice in recent years, so a strong break below that area might well signify a steeper drop is on its way.



Source

Beware Shorting Stocks | Trading Forex

In Forex, we talk about going long and short all the time without really considering any difference between them. That’s because in Forex there is not really any “long” or “short”: when you are trading a currency pair, you are really spread trading, always long one currency and short another.
Before we continue, let’s define these terms “long” and “short”.
“Long” simply means you have bought something. If you are long stocks, you have bought stocks.
“Short” means that you have borrowed an asset which you will pay back at the same price it was at when you borrowed it. You hope it will fall, so you can sell it, pay back the original borrowing. And pocket the difference.
In Forex this doesn’t really matter, because you are always buying one currency with another, so you are always long of one currency and short of another one. In trading stocks or commodities it is a little different. You are always either long or short cash against a real asset. Especially in stocks, there is a real difference between long and short. This is because stock markets have a long bias, meaning over any given period of time they have a statistical propensity to rise. Identifying periods of prolonged and continuing falls in the levels of major stock indices is very hard and perhaps even impossible to perform with technical analysis.
The major stock index is the S&P 500, which is an index composed of the 500 major U.S. stocks. It has been in existence since 1957 but it is possible to extrapolate its values for some years before then. Let’s take a look at how this index has performed historically.

S&P 500 Index: Long Bias Demonstration

Let’s imagine first of all that we just bought the Index every week since 1950. This would have produced an average weekly result of 0.18%. This is quite incredible and shows just how resilient the American stock market has been over the past 65 years taken as a whole. It is a clear demonstration of the index’s long bias, suggesting that when you are going short, all other things being equal you have the odds arrayed against you. Of course, we really need to apply a trend-following model to try and get a better idea of the Index’s behavior. Additionally, we will probably get more applicable results if we restrict any back testing to something close to the last 20 years.
So if we look at the S&P 500 Index since 1997, let’s say we buy only at weekly opens where the price is higher than it was both 3 and 6 months ago, and sell when the opposite is the case. This kind of trend-following strategy tends to produce positive results with USD denominated Forex pairs and also with common commodities.
However, when applied to the S&P 500, this strategy can produce positive results on the long side, but only losing results on the short side:
Long weeks: 531 trades, average weekly performance =+0.09%
Short weeks: 227 trades, average weekly performance = -0.06%
No matter which look back periods we use to filter the signals, ANY period of time that we use on the short side produces an average negative result, while just about any period of time we might apply to the long side achieves a positive results.

Which Stock Markets Have a Long Bias?

The first question you might ask yourself at this point is whether all stock indices are like this? We should divide this question into Geography and Sector. For example, if we look at the NASDAQ 100 Index, these are still composed of U.S. stocks, but it is a specific sector of technology stocks. Indices that are composed of specific types of stocks might be more liable to be statistically predictable on the short side.
If we look back through the NASDAQ 100 Index from 1997, we can see that it also has a long bias: in an average week during this period, it rose by 0.12%. Again, we find the same impossibility to construct a profitable momentum strategy on the short side.
Maybe the story is just the amazing resilience of the U.S. stock market. If we tried another key index located in another place geographically, perhaps we can get a good result on the short side.

Geographical Discrimination

What if we looked at a stock market outside the United States? This might give us an example where we can construct a better model for predicting short-term direction profitably on the short side. One good example to use might be the Japanese Nikkei 225 Index, as it is well-known that the Japanese stock market has underperformed over several recent years.
First of all, if we look back from 1997, overall there is actually a SHORT bias here: over the average week, the index fell by 0.28%. So it is no surprise that it is possible to construct a profitable model for the short side here. Let’s see what happens when we apply the 3 month / 6 month test to the Nikkei 225 Index:
Long weeks: 388 trades, average weekly performance =+0.05%
Short weeks: 353 trades, average weekly performance = +0.20%
Here we have a model that is profitable at both ends.

Don’t Use Technical Analysis to Short American Stock Markets

The moral of the story might be that U.S. stock markets have historically been too long to short as part of a trend-following strategy, at least if you are shorting a major index. It might be a better idea to use another judgement as to when to try to get in on a short move. Generally, bear markets fall faster and pass more quickly than bull markets. I think most candlestick analysts would agree with me when I say that a daily chart of the S&P 500 Index is suggestive of a coming fall. However, if you are going to try to take advantage of it, don’t use traditional trend-following techniques, and be prepared to grab profits when the price is falling like a stone!

Note how the Index has struggled to make a new high since March, which is about ten months ago. A few weeks ago a bearish trend line became established across the tops, and over recent weeks we have seen a steeper trend line get established. If this trend line holds, it will soon push the Index down to around the 1900 area. This area has acted as major support twice in recent years, so a strong break below that area might well signify a steeper drop is on its way.



Source

Beware Shorting Stocks | Trading Forex

In Forex, we talk about going long and short all the time without really considering any difference between them. That’s because in Forex there is not really any “long” or “short”: when you are trading a currency pair, you are really spread trading, always long one currency and short another.
Before we continue, let’s define these terms “long” and “short”.
“Long” simply means you have bought something. If you are long stocks, you have bought stocks.
“Short” means that you have borrowed an asset which you will pay back at the same price it was at when you borrowed it. You hope it will fall, so you can sell it, pay back the original borrowing. And pocket the difference.
In Forex this doesn’t really matter, because you are always buying one currency with another, so you are always long of one currency and short of another one. In trading stocks or commodities it is a little different. You are always either long or short cash against a real asset. Especially in stocks, there is a real difference between long and short. This is because stock markets have a long bias, meaning over any given period of time they have a statistical propensity to rise. Identifying periods of prolonged and continuing falls in the levels of major stock indices is very hard and perhaps even impossible to perform with technical analysis.
The major stock index is the S&P 500, which is an index composed of the 500 major U.S. stocks. It has been in existence since 1957 but it is possible to extrapolate its values for some years before then. Let’s take a look at how this index has performed historically.

S&P 500 Index: Long Bias Demonstration

Let’s imagine first of all that we just bought the Index every week since 1950. This would have produced an average weekly result of 0.18%. This is quite incredible and shows just how resilient the American stock market has been over the past 65 years taken as a whole. It is a clear demonstration of the index’s long bias, suggesting that when you are going short, all other things being equal you have the odds arrayed against you. Of course, we really need to apply a trend-following model to try and get a better idea of the Index’s behavior. Additionally, we will probably get more applicable results if we restrict any back testing to something close to the last 20 years.
So if we look at the S&P 500 Index since 1997, let’s say we buy only at weekly opens where the price is higher than it was both 3 and 6 months ago, and sell when the opposite is the case. This kind of trend-following strategy tends to produce positive results with USD denominated Forex pairs and also with common commodities.
However, when applied to the S&P 500, this strategy can produce positive results on the long side, but only losing results on the short side:
Long weeks: 531 trades, average weekly performance =+0.09%
Short weeks: 227 trades, average weekly performance = -0.06%
No matter which look back periods we use to filter the signals, ANY period of time that we use on the short side produces an average negative result, while just about any period of time we might apply to the long side achieves a positive results.

Which Stock Markets Have a Long Bias?

The first question you might ask yourself at this point is whether all stock indices are like this? We should divide this question into Geography and Sector. For example, if we look at the NASDAQ 100 Index, these are still composed of U.S. stocks, but it is a specific sector of technology stocks. Indices that are composed of specific types of stocks might be more liable to be statistically predictable on the short side.
If we look back through the NASDAQ 100 Index from 1997, we can see that it also has a long bias: in an average week during this period, it rose by 0.12%. Again, we find the same impossibility to construct a profitable momentum strategy on the short side.
Maybe the story is just the amazing resilience of the U.S. stock market. If we tried another key index located in another place geographically, perhaps we can get a good result on the short side.

Geographical Discrimination

What if we looked at a stock market outside the United States? This might give us an example where we can construct a better model for predicting short-term direction profitably on the short side. One good example to use might be the Japanese Nikkei 225 Index, as it is well-known that the Japanese stock market has underperformed over several recent years.
First of all, if we look back from 1997, overall there is actually a SHORT bias here: over the average week, the index fell by 0.28%. So it is no surprise that it is possible to construct a profitable model for the short side here. Let’s see what happens when we apply the 3 month / 6 month test to the Nikkei 225 Index:
Long weeks: 388 trades, average weekly performance =+0.05%
Short weeks: 353 trades, average weekly performance = +0.20%
Here we have a model that is profitable at both ends.

Don’t Use Technical Analysis to Short American Stock Markets

The moral of the story might be that U.S. stock markets have historically been too long to short as part of a trend-following strategy, at least if you are shorting a major index. It might be a better idea to use another judgement as to when to try to get in on a short move. Generally, bear markets fall faster and pass more quickly than bull markets. I think most candlestick analysts would agree with me when I say that a daily chart of the S&P 500 Index is suggestive of a coming fall. However, if you are going to try to take advantage of it, don’t use traditional trend-following techniques, and be prepared to grab profits when the price is falling like a stone!

Note how the Index has struggled to make a new high since March, which is about ten months ago. A few weeks ago a bearish trend line became established across the tops, and over recent weeks we have seen a steeper trend line get established. If this trend line holds, it will soon push the Index down to around the 1900 area. This area has acted as major support twice in recent years, so a strong break below that area might well signify a steeper drop is on its way.



Source

Beware Shorting Stocks | Trading Forex

In Forex, we talk about going long and short all the time without really considering any difference between them. That’s because in Forex there is not really any “long” or “short”: when you are trading a currency pair, you are really spread trading, always long one currency and short another.
Before we continue, let’s define these terms “long” and “short”.
“Long” simply means you have bought something. If you are long stocks, you have bought stocks.
“Short” means that you have borrowed an asset which you will pay back at the same price it was at when you borrowed it. You hope it will fall, so you can sell it, pay back the original borrowing. And pocket the difference.
In Forex this doesn’t really matter, because you are always buying one currency with another, so you are always long of one currency and short of another one. In trading stocks or commodities it is a little different. You are always either long or short cash against a real asset. Especially in stocks, there is a real difference between long and short. This is because stock markets have a long bias, meaning over any given period of time they have a statistical propensity to rise. Identifying periods of prolonged and continuing falls in the levels of major stock indices is very hard and perhaps even impossible to perform with technical analysis.
The major stock index is the S&P 500, which is an index composed of the 500 major U.S. stocks. It has been in existence since 1957 but it is possible to extrapolate its values for some years before then. Let’s take a look at how this index has performed historically.

S&P 500 Index: Long Bias Demonstration

Let’s imagine first of all that we just bought the Index every week since 1950. This would have produced an average weekly result of 0.18%. This is quite incredible and shows just how resilient the American stock market has been over the past 65 years taken as a whole. It is a clear demonstration of the index’s long bias, suggesting that when you are going short, all other things being equal you have the odds arrayed against you. Of course, we really need to apply a trend-following model to try and get a better idea of the Index’s behavior. Additionally, we will probably get more applicable results if we restrict any back testing to something close to the last 20 years.
So if we look at the S&P 500 Index since 1997, let’s say we buy only at weekly opens where the price is higher than it was both 3 and 6 months ago, and sell when the opposite is the case. This kind of trend-following strategy tends to produce positive results with USD denominated Forex pairs and also with common commodities.
However, when applied to the S&P 500, this strategy can produce positive results on the long side, but only losing results on the short side:
Long weeks: 531 trades, average weekly performance =+0.09%
Short weeks: 227 trades, average weekly performance = -0.06%
No matter which look back periods we use to filter the signals, ANY period of time that we use on the short side produces an average negative result, while just about any period of time we might apply to the long side achieves a positive results.

Which Stock Markets Have a Long Bias?

The first question you might ask yourself at this point is whether all stock indices are like this? We should divide this question into Geography and Sector. For example, if we look at the NASDAQ 100 Index, these are still composed of U.S. stocks, but it is a specific sector of technology stocks. Indices that are composed of specific types of stocks might be more liable to be statistically predictable on the short side.
If we look back through the NASDAQ 100 Index from 1997, we can see that it also has a long bias: in an average week during this period, it rose by 0.12%. Again, we find the same impossibility to construct a profitable momentum strategy on the short side.
Maybe the story is just the amazing resilience of the U.S. stock market. If we tried another key index located in another place geographically, perhaps we can get a good result on the short side.

Geographical Discrimination

What if we looked at a stock market outside the United States? This might give us an example where we can construct a better model for predicting short-term direction profitably on the short side. One good example to use might be the Japanese Nikkei 225 Index, as it is well-known that the Japanese stock market has underperformed over several recent years.
First of all, if we look back from 1997, overall there is actually a SHORT bias here: over the average week, the index fell by 0.28%. So it is no surprise that it is possible to construct a profitable model for the short side here. Let’s see what happens when we apply the 3 month / 6 month test to the Nikkei 225 Index:
Long weeks: 388 trades, average weekly performance =+0.05%
Short weeks: 353 trades, average weekly performance = +0.20%
Here we have a model that is profitable at both ends.

Don’t Use Technical Analysis to Short American Stock Markets

The moral of the story might be that U.S. stock markets have historically been too long to short as part of a trend-following strategy, at least if you are shorting a major index. It might be a better idea to use another judgement as to when to try to get in on a short move. Generally, bear markets fall faster and pass more quickly than bull markets. I think most candlestick analysts would agree with me when I say that a daily chart of the S&P 500 Index is suggestive of a coming fall. However, if you are going to try to take advantage of it, don’t use traditional trend-following techniques, and be prepared to grab profits when the price is falling like a stone!

Note how the Index has struggled to make a new high since March, which is about ten months ago. A few weeks ago a bearish trend line became established across the tops, and over recent weeks we have seen a steeper trend line get established. If this trend line holds, it will soon push the Index down to around the 1900 area. This area has acted as major support twice in recent years, so a strong break below that area might well signify a steeper drop is on its way.



Source

Beware Shorting Stocks | Trading Forex

In Forex, we talk about going long and short all the time without really considering any difference between them. That’s because in Forex there is not really any “long” or “short”: when you are trading a currency pair, you are really spread trading, always long one currency and short another.
Before we continue, let’s define these terms “long” and “short”.
“Long” simply means you have bought something. If you are long stocks, you have bought stocks.
“Short” means that you have borrowed an asset which you will pay back at the same price it was at when you borrowed it. You hope it will fall, so you can sell it, pay back the original borrowing. And pocket the difference.
In Forex this doesn’t really matter, because you are always buying one currency with another, so you are always long of one currency and short of another one. In trading stocks or commodities it is a little different. You are always either long or short cash against a real asset. Especially in stocks, there is a real difference between long and short. This is because stock markets have a long bias, meaning over any given period of time they have a statistical propensity to rise. Identifying periods of prolonged and continuing falls in the levels of major stock indices is very hard and perhaps even impossible to perform with technical analysis.
The major stock index is the S&P 500, which is an index composed of the 500 major U.S. stocks. It has been in existence since 1957 but it is possible to extrapolate its values for some years before then. Let’s take a look at how this index has performed historically.

S&P 500 Index: Long Bias Demonstration

Let’s imagine first of all that we just bought the Index every week since 1950. This would have produced an average weekly result of 0.18%. This is quite incredible and shows just how resilient the American stock market has been over the past 65 years taken as a whole. It is a clear demonstration of the index’s long bias, suggesting that when you are going short, all other things being equal you have the odds arrayed against you. Of course, we really need to apply a trend-following model to try and get a better idea of the Index’s behavior. Additionally, we will probably get more applicable results if we restrict any back testing to something close to the last 20 years.
So if we look at the S&P 500 Index since 1997, let’s say we buy only at weekly opens where the price is higher than it was both 3 and 6 months ago, and sell when the opposite is the case. This kind of trend-following strategy tends to produce positive results with USD denominated Forex pairs and also with common commodities.
However, when applied to the S&P 500, this strategy can produce positive results on the long side, but only losing results on the short side:
Long weeks: 531 trades, average weekly performance =+0.09%
Short weeks: 227 trades, average weekly performance = -0.06%
No matter which look back periods we use to filter the signals, ANY period of time that we use on the short side produces an average negative result, while just about any period of time we might apply to the long side achieves a positive results.

Which Stock Markets Have a Long Bias?

The first question you might ask yourself at this point is whether all stock indices are like this? We should divide this question into Geography and Sector. For example, if we look at the NASDAQ 100 Index, these are still composed of U.S. stocks, but it is a specific sector of technology stocks. Indices that are composed of specific types of stocks might be more liable to be statistically predictable on the short side.
If we look back through the NASDAQ 100 Index from 1997, we can see that it also has a long bias: in an average week during this period, it rose by 0.12%. Again, we find the same impossibility to construct a profitable momentum strategy on the short side.
Maybe the story is just the amazing resilience of the U.S. stock market. If we tried another key index located in another place geographically, perhaps we can get a good result on the short side.

Geographical Discrimination

What if we looked at a stock market outside the United States? This might give us an example where we can construct a better model for predicting short-term direction profitably on the short side. One good example to use might be the Japanese Nikkei 225 Index, as it is well-known that the Japanese stock market has underperformed over several recent years.
First of all, if we look back from 1997, overall there is actually a SHORT bias here: over the average week, the index fell by 0.28%. So it is no surprise that it is possible to construct a profitable model for the short side here. Let’s see what happens when we apply the 3 month / 6 month test to the Nikkei 225 Index:
Long weeks: 388 trades, average weekly performance =+0.05%
Short weeks: 353 trades, average weekly performance = +0.20%
Here we have a model that is profitable at both ends.

Don’t Use Technical Analysis to Short American Stock Markets

The moral of the story might be that U.S. stock markets have historically been too long to short as part of a trend-following strategy, at least if you are shorting a major index. It might be a better idea to use another judgement as to when to try to get in on a short move. Generally, bear markets fall faster and pass more quickly than bull markets. I think most candlestick analysts would agree with me when I say that a daily chart of the S&P 500 Index is suggestive of a coming fall. However, if you are going to try to take advantage of it, don’t use traditional trend-following techniques, and be prepared to grab profits when the price is falling like a stone!

Note how the Index has struggled to make a new high since March, which is about ten months ago. A few weeks ago a bearish trend line became established across the tops, and over recent weeks we have seen a steeper trend line get established. If this trend line holds, it will soon push the Index down to around the 1900 area. This area has acted as major support twice in recent years, so a strong break below that area might well signify a steeper drop is on its way.



Source

Beware Shorting Stocks | Trading Forex

In Forex, we talk about going long and short all the time without really considering any difference between them. That’s because in Forex there is not really any “long” or “short”: when you are trading a currency pair, you are really spread trading, always long one currency and short another.
Before we continue, let’s define these terms “long” and “short”.
“Long” simply means you have bought something. If you are long stocks, you have bought stocks.
“Short” means that you have borrowed an asset which you will pay back at the same price it was at when you borrowed it. You hope it will fall, so you can sell it, pay back the original borrowing. And pocket the difference.
In Forex this doesn’t really matter, because you are always buying one currency with another, so you are always long of one currency and short of another one. In trading stocks or commodities it is a little different. You are always either long or short cash against a real asset. Especially in stocks, there is a real difference between long and short. This is because stock markets have a long bias, meaning over any given period of time they have a statistical propensity to rise. Identifying periods of prolonged and continuing falls in the levels of major stock indices is very hard and perhaps even impossible to perform with technical analysis.
The major stock index is the S&P 500, which is an index composed of the 500 major U.S. stocks. It has been in existence since 1957 but it is possible to extrapolate its values for some years before then. Let’s take a look at how this index has performed historically.

S&P 500 Index: Long Bias Demonstration

Let’s imagine first of all that we just bought the Index every week since 1950. This would have produced an average weekly result of 0.18%. This is quite incredible and shows just how resilient the American stock market has been over the past 65 years taken as a whole. It is a clear demonstration of the index’s long bias, suggesting that when you are going short, all other things being equal you have the odds arrayed against you. Of course, we really need to apply a trend-following model to try and get a better idea of the Index’s behavior. Additionally, we will probably get more applicable results if we restrict any back testing to something close to the last 20 years.
So if we look at the S&P 500 Index since 1997, let’s say we buy only at weekly opens where the price is higher than it was both 3 and 6 months ago, and sell when the opposite is the case. This kind of trend-following strategy tends to produce positive results with USD denominated Forex pairs and also with common commodities.
However, when applied to the S&P 500, this strategy can produce positive results on the long side, but only losing results on the short side:
Long weeks: 531 trades, average weekly performance =+0.09%
Short weeks: 227 trades, average weekly performance = -0.06%
No matter which look back periods we use to filter the signals, ANY period of time that we use on the short side produces an average negative result, while just about any period of time we might apply to the long side achieves a positive results.

Which Stock Markets Have a Long Bias?

The first question you might ask yourself at this point is whether all stock indices are like this? We should divide this question into Geography and Sector. For example, if we look at the NASDAQ 100 Index, these are still composed of U.S. stocks, but it is a specific sector of technology stocks. Indices that are composed of specific types of stocks might be more liable to be statistically predictable on the short side.
If we look back through the NASDAQ 100 Index from 1997, we can see that it also has a long bias: in an average week during this period, it rose by 0.12%. Again, we find the same impossibility to construct a profitable momentum strategy on the short side.
Maybe the story is just the amazing resilience of the U.S. stock market. If we tried another key index located in another place geographically, perhaps we can get a good result on the short side.

Geographical Discrimination

What if we looked at a stock market outside the United States? This might give us an example where we can construct a better model for predicting short-term direction profitably on the short side. One good example to use might be the Japanese Nikkei 225 Index, as it is well-known that the Japanese stock market has underperformed over several recent years.
First of all, if we look back from 1997, overall there is actually a SHORT bias here: over the average week, the index fell by 0.28%. So it is no surprise that it is possible to construct a profitable model for the short side here. Let’s see what happens when we apply the 3 month / 6 month test to the Nikkei 225 Index:
Long weeks: 388 trades, average weekly performance =+0.05%
Short weeks: 353 trades, average weekly performance = +0.20%
Here we have a model that is profitable at both ends.

Don’t Use Technical Analysis to Short American Stock Markets

The moral of the story might be that U.S. stock markets have historically been too long to short as part of a trend-following strategy, at least if you are shorting a major index. It might be a better idea to use another judgement as to when to try to get in on a short move. Generally, bear markets fall faster and pass more quickly than bull markets. I think most candlestick analysts would agree with me when I say that a daily chart of the S&P 500 Index is suggestive of a coming fall. However, if you are going to try to take advantage of it, don’t use traditional trend-following techniques, and be prepared to grab profits when the price is falling like a stone!

Note how the Index has struggled to make a new high since March, which is about ten months ago. A few weeks ago a bearish trend line became established across the tops, and over recent weeks we have seen a steeper trend line get established. If this trend line holds, it will soon push the Index down to around the 1900 area. This area has acted as major support twice in recent years, so a strong break below that area might well signify a steeper drop is on its way.



Source

Beware Shorting Stocks | Trading Forex

In Forex, we talk about going long and short all the time without really considering any difference between them. That’s because in Forex there is not really any “long” or “short”: when you are trading a currency pair, you are really spread trading, always long one currency and short another.
Before we continue, let’s define these terms “long” and “short”.
“Long” simply means you have bought something. If you are long stocks, you have bought stocks.
“Short” means that you have borrowed an asset which you will pay back at the same price it was at when you borrowed it. You hope it will fall, so you can sell it, pay back the original borrowing. And pocket the difference.
In Forex this doesn’t really matter, because you are always buying one currency with another, so you are always long of one currency and short of another one. In trading stocks or commodities it is a little different. You are always either long or short cash against a real asset. Especially in stocks, there is a real difference between long and short. This is because stock markets have a long bias, meaning over any given period of time they have a statistical propensity to rise. Identifying periods of prolonged and continuing falls in the levels of major stock indices is very hard and perhaps even impossible to perform with technical analysis.
The major stock index is the S&P 500, which is an index composed of the 500 major U.S. stocks. It has been in existence since 1957 but it is possible to extrapolate its values for some years before then. Let’s take a look at how this index has performed historically.

S&P 500 Index: Long Bias Demonstration

Let’s imagine first of all that we just bought the Index every week since 1950. This would have produced an average weekly result of 0.18%. This is quite incredible and shows just how resilient the American stock market has been over the past 65 years taken as a whole. It is a clear demonstration of the index’s long bias, suggesting that when you are going short, all other things being equal you have the odds arrayed against you. Of course, we really need to apply a trend-following model to try and get a better idea of the Index’s behavior. Additionally, we will probably get more applicable results if we restrict any back testing to something close to the last 20 years.
So if we look at the S&P 500 Index since 1997, let’s say we buy only at weekly opens where the price is higher than it was both 3 and 6 months ago, and sell when the opposite is the case. This kind of trend-following strategy tends to produce positive results with USD denominated Forex pairs and also with common commodities.
However, when applied to the S&P 500, this strategy can produce positive results on the long side, but only losing results on the short side:
Long weeks: 531 trades, average weekly performance =+0.09%
Short weeks: 227 trades, average weekly performance = -0.06%
No matter which look back periods we use to filter the signals, ANY period of time that we use on the short side produces an average negative result, while just about any period of time we might apply to the long side achieves a positive results.

Which Stock Markets Have a Long Bias?

The first question you might ask yourself at this point is whether all stock indices are like this? We should divide this question into Geography and Sector. For example, if we look at the NASDAQ 100 Index, these are still composed of U.S. stocks, but it is a specific sector of technology stocks. Indices that are composed of specific types of stocks might be more liable to be statistically predictable on the short side.
If we look back through the NASDAQ 100 Index from 1997, we can see that it also has a long bias: in an average week during this period, it rose by 0.12%. Again, we find the same impossibility to construct a profitable momentum strategy on the short side.
Maybe the story is just the amazing resilience of the U.S. stock market. If we tried another key index located in another place geographically, perhaps we can get a good result on the short side.

Geographical Discrimination

What if we looked at a stock market outside the United States? This might give us an example where we can construct a better model for predicting short-term direction profitably on the short side. One good example to use might be the Japanese Nikkei 225 Index, as it is well-known that the Japanese stock market has underperformed over several recent years.
First of all, if we look back from 1997, overall there is actually a SHORT bias here: over the average week, the index fell by 0.28%. So it is no surprise that it is possible to construct a profitable model for the short side here. Let’s see what happens when we apply the 3 month / 6 month test to the Nikkei 225 Index:
Long weeks: 388 trades, average weekly performance =+0.05%
Short weeks: 353 trades, average weekly performance = +0.20%
Here we have a model that is profitable at both ends.

Don’t Use Technical Analysis to Short American Stock Markets

The moral of the story might be that U.S. stock markets have historically been too long to short as part of a trend-following strategy, at least if you are shorting a major index. It might be a better idea to use another judgement as to when to try to get in on a short move. Generally, bear markets fall faster and pass more quickly than bull markets. I think most candlestick analysts would agree with me when I say that a daily chart of the S&P 500 Index is suggestive of a coming fall. However, if you are going to try to take advantage of it, don’t use traditional trend-following techniques, and be prepared to grab profits when the price is falling like a stone!

Note how the Index has struggled to make a new high since March, which is about ten months ago. A few weeks ago a bearish trend line became established across the tops, and over recent weeks we have seen a steeper trend line get established. If this trend line holds, it will soon push the Index down to around the 1900 area. This area has acted as major support twice in recent years, so a strong break below that area might well signify a steeper drop is on its way.



Source

Beware Shorting Stocks | Trading Forex

In Forex, we talk about going long and short all the time without really considering any difference between them. That’s because in Forex there is not really any “long” or “short”: when you are trading a currency pair, you are really spread trading, always long one currency and short another.
Before we continue, let’s define these terms “long” and “short”.
“Long” simply means you have bought something. If you are long stocks, you have bought stocks.
“Short” means that you have borrowed an asset which you will pay back at the same price it was at when you borrowed it. You hope it will fall, so you can sell it, pay back the original borrowing. And pocket the difference.
In Forex this doesn’t really matter, because you are always buying one currency with another, so you are always long of one currency and short of another one. In trading stocks or commodities it is a little different. You are always either long or short cash against a real asset. Especially in stocks, there is a real difference between long and short. This is because stock markets have a long bias, meaning over any given period of time they have a statistical propensity to rise. Identifying periods of prolonged and continuing falls in the levels of major stock indices is very hard and perhaps even impossible to perform with technical analysis.
The major stock index is the S&P 500, which is an index composed of the 500 major U.S. stocks. It has been in existence since 1957 but it is possible to extrapolate its values for some years before then. Let’s take a look at how this index has performed historically.

S&P 500 Index: Long Bias Demonstration

Let’s imagine first of all that we just bought the Index every week since 1950. This would have produced an average weekly result of 0.18%. This is quite incredible and shows just how resilient the American stock market has been over the past 65 years taken as a whole. It is a clear demonstration of the index’s long bias, suggesting that when you are going short, all other things being equal you have the odds arrayed against you. Of course, we really need to apply a trend-following model to try and get a better idea of the Index’s behavior. Additionally, we will probably get more applicable results if we restrict any back testing to something close to the last 20 years.
So if we look at the S&P 500 Index since 1997, let’s say we buy only at weekly opens where the price is higher than it was both 3 and 6 months ago, and sell when the opposite is the case. This kind of trend-following strategy tends to produce positive results with USD denominated Forex pairs and also with common commodities.
However, when applied to the S&P 500, this strategy can produce positive results on the long side, but only losing results on the short side:
Long weeks: 531 trades, average weekly performance =+0.09%
Short weeks: 227 trades, average weekly performance = -0.06%
No matter which look back periods we use to filter the signals, ANY period of time that we use on the short side produces an average negative result, while just about any period of time we might apply to the long side achieves a positive results.

Which Stock Markets Have a Long Bias?

The first question you might ask yourself at this point is whether all stock indices are like this? We should divide this question into Geography and Sector. For example, if we look at the NASDAQ 100 Index, these are still composed of U.S. stocks, but it is a specific sector of technology stocks. Indices that are composed of specific types of stocks might be more liable to be statistically predictable on the short side.
If we look back through the NASDAQ 100 Index from 1997, we can see that it also has a long bias: in an average week during this period, it rose by 0.12%. Again, we find the same impossibility to construct a profitable momentum strategy on the short side.
Maybe the story is just the amazing resilience of the U.S. stock market. If we tried another key index located in another place geographically, perhaps we can get a good result on the short side.

Geographical Discrimination

What if we looked at a stock market outside the United States? This might give us an example where we can construct a better model for predicting short-term direction profitably on the short side. One good example to use might be the Japanese Nikkei 225 Index, as it is well-known that the Japanese stock market has underperformed over several recent years.
First of all, if we look back from 1997, overall there is actually a SHORT bias here: over the average week, the index fell by 0.28%. So it is no surprise that it is possible to construct a profitable model for the short side here. Let’s see what happens when we apply the 3 month / 6 month test to the Nikkei 225 Index:
Long weeks: 388 trades, average weekly performance =+0.05%
Short weeks: 353 trades, average weekly performance = +0.20%
Here we have a model that is profitable at both ends.

Don’t Use Technical Analysis to Short American Stock Markets

The moral of the story might be that U.S. stock markets have historically been too long to short as part of a trend-following strategy, at least if you are shorting a major index. It might be a better idea to use another judgement as to when to try to get in on a short move. Generally, bear markets fall faster and pass more quickly than bull markets. I think most candlestick analysts would agree with me when I say that a daily chart of the S&P 500 Index is suggestive of a coming fall. However, if you are going to try to take advantage of it, don’t use traditional trend-following techniques, and be prepared to grab profits when the price is falling like a stone!

Note how the Index has struggled to make a new high since March, which is about ten months ago. A few weeks ago a bearish trend line became established across the tops, and over recent weeks we have seen a steeper trend line get established. If this trend line holds, it will soon push the Index down to around the 1900 area. This area has acted as major support twice in recent years, so a strong break below that area might well signify a steeper drop is on its way.



Source

Beware Shorting Stocks | Trading Forex

In Forex, we talk about going long and short all the time without really considering any difference between them. That’s because in Forex there is not really any “long” or “short”: when you are trading a currency pair, you are really spread trading, always long one currency and short another.
Before we continue, let’s define these terms “long” and “short”.
“Long” simply means you have bought something. If you are long stocks, you have bought stocks.
“Short” means that you have borrowed an asset which you will pay back at the same price it was at when you borrowed it. You hope it will fall, so you can sell it, pay back the original borrowing. And pocket the difference.
In Forex this doesn’t really matter, because you are always buying one currency with another, so you are always long of one currency and short of another one. In trading stocks or commodities it is a little different. You are always either long or short cash against a real asset. Especially in stocks, there is a real difference between long and short. This is because stock markets have a long bias, meaning over any given period of time they have a statistical propensity to rise. Identifying periods of prolonged and continuing falls in the levels of major stock indices is very hard and perhaps even impossible to perform with technical analysis.
The major stock index is the S&P 500, which is an index composed of the 500 major U.S. stocks. It has been in existence since 1957 but it is possible to extrapolate its values for some years before then. Let’s take a look at how this index has performed historically.

S&P 500 Index: Long Bias Demonstration

Let’s imagine first of all that we just bought the Index every week since 1950. This would have produced an average weekly result of 0.18%. This is quite incredible and shows just how resilient the American stock market has been over the past 65 years taken as a whole. It is a clear demonstration of the index’s long bias, suggesting that when you are going short, all other things being equal you have the odds arrayed against you. Of course, we really need to apply a trend-following model to try and get a better idea of the Index’s behavior. Additionally, we will probably get more applicable results if we restrict any back testing to something close to the last 20 years.
So if we look at the S&P 500 Index since 1997, let’s say we buy only at weekly opens where the price is higher than it was both 3 and 6 months ago, and sell when the opposite is the case. This kind of trend-following strategy tends to produce positive results with USD denominated Forex pairs and also with common commodities.
However, when applied to the S&P 500, this strategy can produce positive results on the long side, but only losing results on the short side:
Long weeks: 531 trades, average weekly performance =+0.09%
Short weeks: 227 trades, average weekly performance = -0.06%
No matter which look back periods we use to filter the signals, ANY period of time that we use on the short side produces an average negative result, while just about any period of time we might apply to the long side achieves a positive results.

Which Stock Markets Have a Long Bias?

The first question you might ask yourself at this point is whether all stock indices are like this? We should divide this question into Geography and Sector. For example, if we look at the NASDAQ 100 Index, these are still composed of U.S. stocks, but it is a specific sector of technology stocks. Indices that are composed of specific types of stocks might be more liable to be statistically predictable on the short side.
If we look back through the NASDAQ 100 Index from 1997, we can see that it also has a long bias: in an average week during this period, it rose by 0.12%. Again, we find the same impossibility to construct a profitable momentum strategy on the short side.
Maybe the story is just the amazing resilience of the U.S. stock market. If we tried another key index located in another place geographically, perhaps we can get a good result on the short side.

Geographical Discrimination

What if we looked at a stock market outside the United States? This might give us an example where we can construct a better model for predicting short-term direction profitably on the short side. One good example to use might be the Japanese Nikkei 225 Index, as it is well-known that the Japanese stock market has underperformed over several recent years.
First of all, if we look back from 1997, overall there is actually a SHORT bias here: over the average week, the index fell by 0.28%. So it is no surprise that it is possible to construct a profitable model for the short side here. Let’s see what happens when we apply the 3 month / 6 month test to the Nikkei 225 Index:
Long weeks: 388 trades, average weekly performance =+0.05%
Short weeks: 353 trades, average weekly performance = +0.20%
Here we have a model that is profitable at both ends.

Don’t Use Technical Analysis to Short American Stock Markets

The moral of the story might be that U.S. stock markets have historically been too long to short as part of a trend-following strategy, at least if you are shorting a major index. It might be a better idea to use another judgement as to when to try to get in on a short move. Generally, bear markets fall faster and pass more quickly than bull markets. I think most candlestick analysts would agree with me when I say that a daily chart of the S&P 500 Index is suggestive of a coming fall. However, if you are going to try to take advantage of it, don’t use traditional trend-following techniques, and be prepared to grab profits when the price is falling like a stone!

Note how the Index has struggled to make a new high since March, which is about ten months ago. A few weeks ago a bearish trend line became established across the tops, and over recent weeks we have seen a steeper trend line get established. If this trend line holds, it will soon push the Index down to around the 1900 area. This area has acted as major support twice in recent years, so a strong break below that area might well signify a steeper drop is on its way.



Source

Beware Shorting Stocks | Trading Forex

In Forex, we talk about going long and short all the time without really considering any difference between them. That’s because in Forex there is not really any “long” or “short”: when you are trading a currency pair, you are really spread trading, always long one currency and short another.
Before we continue, let’s define these terms “long” and “short”.
“Long” simply means you have bought something. If you are long stocks, you have bought stocks.
“Short” means that you have borrowed an asset which you will pay back at the same price it was at when you borrowed it. You hope it will fall, so you can sell it, pay back the original borrowing. And pocket the difference.
In Forex this doesn’t really matter, because you are always buying one currency with another, so you are always long of one currency and short of another one. In trading stocks or commodities it is a little different. You are always either long or short cash against a real asset. Especially in stocks, there is a real difference between long and short. This is because stock markets have a long bias, meaning over any given period of time they have a statistical propensity to rise. Identifying periods of prolonged and continuing falls in the levels of major stock indices is very hard and perhaps even impossible to perform with technical analysis.
The major stock index is the S&P 500, which is an index composed of the 500 major U.S. stocks. It has been in existence since 1957 but it is possible to extrapolate its values for some years before then. Let’s take a look at how this index has performed historically.

S&P 500 Index: Long Bias Demonstration

Let’s imagine first of all that we just bought the Index every week since 1950. This would have produced an average weekly result of 0.18%. This is quite incredible and shows just how resilient the American stock market has been over the past 65 years taken as a whole. It is a clear demonstration of the index’s long bias, suggesting that when you are going short, all other things being equal you have the odds arrayed against you. Of course, we really need to apply a trend-following model to try and get a better idea of the Index’s behavior. Additionally, we will probably get more applicable results if we restrict any back testing to something close to the last 20 years.
So if we look at the S&P 500 Index since 1997, let’s say we buy only at weekly opens where the price is higher than it was both 3 and 6 months ago, and sell when the opposite is the case. This kind of trend-following strategy tends to produce positive results with USD denominated Forex pairs and also with common commodities.
However, when applied to the S&P 500, this strategy can produce positive results on the long side, but only losing results on the short side:
Long weeks: 531 trades, average weekly performance =+0.09%
Short weeks: 227 trades, average weekly performance = -0.06%
No matter which look back periods we use to filter the signals, ANY period of time that we use on the short side produces an average negative result, while just about any period of time we might apply to the long side achieves a positive results.

Which Stock Markets Have a Long Bias?

The first question you might ask yourself at this point is whether all stock indices are like this? We should divide this question into Geography and Sector. For example, if we look at the NASDAQ 100 Index, these are still composed of U.S. stocks, but it is a specific sector of technology stocks. Indices that are composed of specific types of stocks might be more liable to be statistically predictable on the short side.
If we look back through the NASDAQ 100 Index from 1997, we can see that it also has a long bias: in an average week during this period, it rose by 0.12%. Again, we find the same impossibility to construct a profitable momentum strategy on the short side.
Maybe the story is just the amazing resilience of the U.S. stock market. If we tried another key index located in another place geographically, perhaps we can get a good result on the short side.

Geographical Discrimination

What if we looked at a stock market outside the United States? This might give us an example where we can construct a better model for predicting short-term direction profitably on the short side. One good example to use might be the Japanese Nikkei 225 Index, as it is well-known that the Japanese stock market has underperformed over several recent years.
First of all, if we look back from 1997, overall there is actually a SHORT bias here: over the average week, the index fell by 0.28%. So it is no surprise that it is possible to construct a profitable model for the short side here. Let’s see what happens when we apply the 3 month / 6 month test to the Nikkei 225 Index:
Long weeks: 388 trades, average weekly performance =+0.05%
Short weeks: 353 trades, average weekly performance = +0.20%
Here we have a model that is profitable at both ends.

Don’t Use Technical Analysis to Short American Stock Markets

The moral of the story might be that U.S. stock markets have historically been too long to short as part of a trend-following strategy, at least if you are shorting a major index. It might be a better idea to use another judgement as to when to try to get in on a short move. Generally, bear markets fall faster and pass more quickly than bull markets. I think most candlestick analysts would agree with me when I say that a daily chart of the S&P 500 Index is suggestive of a coming fall. However, if you are going to try to take advantage of it, don’t use traditional trend-following techniques, and be prepared to grab profits when the price is falling like a stone!

Note how the Index has struggled to make a new high since March, which is about ten months ago. A few weeks ago a bearish trend line became established across the tops, and over recent weeks we have seen a steeper trend line get established. If this trend line holds, it will soon push the Index down to around the 1900 area. This area has acted as major support twice in recent years, so a strong break below that area might well signify a steeper drop is on its way.



Source

What Is The Difference Between A Demat Account And Buying and selling Account? | Insurance | Mesothelioma | Forex

This is the place you purchase and promote stocks, choices, ETFs and extra. I acknowledge that securities held in my Margin account could also be pledged, re-pledged, hypothecated, or re-hypothecated for any quantity due Stadium Online in my account(s) or for a larger amount. All the information on this website is for academic functions only and is not to be construed as investment or buying and selling advice. For a few of these brokerages, in case you lose money and your account stability drops under this amount, you’ll still be charged further fees for having too low a stability.

Any Commonwealth Bank or CommSec account details supplied by you on the One Off Trade Kind are for identification purposes only, and proceeds will likely be credited in the type of cheque only. Your selections right here will inform your selection of brokerage. Share trading through this web site is a service offered by means of Westpac Securities Restricted ABN 39 087 924 221 AFSL 233723 by Australian Funding Alternate Ltd ABN seventy one 076 515 930 AFSL 241400 (“the Participant”), a participant of the ASX Group and Chi-X Australia.

In relation to investments, a buying and selling account is used as a way for an investor to purchase stocks. Before you acquire any services or products from Westpac Securities Restricted and the Participant, it’s essential to view the most recent Financial Providers Guides (FSG’s) issued by them. Margin buying and selling is extended by Nationwide Financial Companies, Member NYSE, SIPC, a Constancy Investments firm. As well as, I felt the brokerage structure and price of account opening and fees might be increased aspect when compared to different brokers who offer only Trading and Demat Account.

Additional, homeowners, employees, agents or representatives of the Institute of Trading and Portfolio Management aren’t appearing as investment advisors and may not be registered with the U.S. Securities and Alternate Fee or the Financial Trade Regulatory. XTB Restricted is authorised and controlled by the UK Financial Conduct Authority (FRN 522157) with its registered and buying and selling workplace at Level 34, One Canada Sq., Canary Wharf, E14 5AA, London, United Kingdom (company quantity 07227848).

Switching your banking and investment accounts to CIBC is easy and convenient, and comes with plenty of advantages. Improve your buying and selling efficiency or be taught to trade with City Index’s videos and tutorials. Demat account is sort of a bank account by which instead of money, the shares and securities you purchase are saved in dematerialized form. Use a CommSec Share Buying and selling Account to put money into a variety of ASX-listed securities, including Australian shares, using our award-successful trading platform.

Resulting from numerous factors (akin to danger tolerance, margin requirements, trading goals, brief time period vs. long term strategies, technical vs. basic market analysis, and other elements) such buying and selling could end result within the initiation or liquidation of positions which can be different from or contrary to the opinions and recommendations contained therein. The brokerage wants all this information to allow them to contact you to debate changes in your accounts to confirm gross sales or purchases and to let you recognize about a margin name.

This can be achieved by playing with totally different forex demo accounts by varied brokers. Motilal Oswal’s on-line platforms offer the best online trading and tracking experience across all gadgets, which is cellular app, net portal, EXE, smart watch and so forth. Buying and selling accounts are often associated with day trading. This rule requires a $25,000 minimal amount within the account to commerce more than three spherical journeys during a rolling five-day interval. FxPro Group Limited is the holding company of FxPro Financial Providers Ltd, FxPro UK Restricted, FxPro Global Markets MENA Restricted and FxPro Global Markets Ltd.

ActivTrades PLC is regulated by the Dubai Monetary Companies Authority below Agency’s reference No. F003511. Trade Traded Funds are funds that trade on a inventory exchange like bizarre shares. The supplier of the share trading service (we”, us”, our”) reserves the correct to finish the Introductory Interval early on one business day’s discover within the event that a customer’s buying and selling activities exceed affordable limits as decided by us in our discretion. Consider it as a bank account for your shares as a substitute of money.

For those who hold shares in certificate type, you can simply add these in to your Trading Account so that you can manage all your holdings electronically in one place. Individual brokerages could apply margin restrictions on particular stocks as a result of volatility and brief curiosity. Where you want to promote shares that are held within the name of a belief or company you should have an existing Commonwealth Checking account or bank card in the identical name as the registered title on the shares.

You may access our on-line trading platform on the internet, cellular, desktop or use our call and trade facility, in order that you don’t miss out on any market opportunities. To view the bank account you nominated on your software type, select Portfolio > Profile after you might have logged into your CommSec account. Whole up your risk capital and examine this to the required minimal stability at each brokerage. Until otherwise specified here, the traditional phrases and situations, credit criteria, fees and charges apply to the share trading service provided by Westpac Securities Limited (ABN 39 087 924 221, AFSL 233723) by Australian Investment Trade Ltd (ABN 71 076 515 930, AFSL 241400).

HALAMAN SELANJUTNYA:

Commerce On Your Phrases | Insurance | Mesothelioma | Forex

This is where you buy and sell stocks, options, ETFs and extra. In relation to investments, a buying and selling account is used as a manner for an investor to purchase shares. Earlier than you acquire any services or products from Westpac Securities Limited and the Participant, you have to view the newest Financial Companies Guides (FSG’s) issued by them. Margin buying and selling is prolonged by Nationwide Financial Services, Member NYSE, SIPC, a Fidelity Investments firm. As well as, I felt the brokerage structure and cost of account opening and costs can be increased facet when compared to different brokers who provide only Buying and selling and Demat Account.

Any Commonwealth Bank or CommSec account details supplied by you on the One Off Commerce Form are for identification functions only, and proceeds can be credited in the type of cheque only. Your decisions here will inform your choice of brokerage. Share buying and selling via this website is a service supplied by way of Westpac Securities Limited ABN 39 087 924 221 AFSL 233723 by Australian Investment Trade Ltd ABN 71 076 515 930 AFSL 241400 (“the Participant”), a participant of the ASX Group and Chi-X Australia.

Your online banking and funding accounts are protected by the CIBC Digital Banking Security Assure. Share Investing Restricted is a subsidiary of Australia and New Zealand Banking Group Restricted ABN eleven 005 357 522 (ANZ) however will not be an authorised deposit-taking institution below the Banking Act. In a single day means you hold the position past 4:00p.m. EST and you’ll be liable for a regulation T margin name and your brokerage would ask you to point out them an additional $25,000 which would be 50% of the $100,000.

Apart from any deposits within the Money Account, the obligations of Share Investing Limited don’t characterize deposits or different liabilities of ANZ. Let’s take another have a look at Intraday Margin which is often referred to as Pattern Day Trader Margin or PDT. Convenience, flexibility and great value aren’t all a CommSec Share Buying and selling Account offers. Now you’ll be able to fix your brokerage with our Flexi margin plan and luxuriate in lower brokerage rates on your investments. When you work for a registered broker supplier they’ll ask whether or not you were a director, a 10% shareholder or policymaking officer of a publicly owned company in addition to which company that might be. If you are a registered consultant of a brokerage agency or a ten% or extra shareholder in a company, then you could have particular disclosure obligations along with the data already provided.

A demo account can’t always reasonably mirror the entire market circumstances that will have an effect on pricing, execution and margin requirements in a reside trading setting. Whatever stocks you buy will probably be held in Demat Account. Read this Article , which may help you perceive more about how the Buying and selling & Demat account works. Account the place you hold your shares in dematerialize kind or in digital type. Day Trading Account is an account for intraday merchants, the place a trader purchase and sell their stocks throughout the similar day.

With a margin account you’re basically borrowing money from someone, like getting buyers into your trades. The SEBI passed a mandate in 1996 that every one your shares needs to be transformed to an digital format. As you undergo the account opening course of, your brokerage agency must know a good deal of personal details about you. When you use all of the horsepower of the $100,000 shopping for power you would have to close at the least a portion of that trade by the top of the day or must provide you with a regulation T margin call.

Notice that every online brokerage account signal-up course of is slightly different. A demat account gives you information about the shares you own together with the amount. Investors who trade by OTA nonetheless need to settle by their very own accounts. On T+1 day, the securities firm ought to complete the transaction allocation operations and can’t preserve the data not yet allocated. Trading international change, spot valuable metals and every other product on the Forex platform involves significant danger of loss and may not be appropriate for all investors.

Up to now, the buyers were given the bodily possession of shares, but now the shares are just credited in the Demat account of the investor. Your shares will probably be bought inside approximately two (2) business days after receipt of your request at the prevailing market price on the time the order is positioned. If client sends buying and selling order after the market closed, the order will show PO (Pending Order) Status because the dealer system has to verify the order details earlier than sending to SET System.

Day trading margin for non-IRA accounts is normally leveraged at four-to-one during market hours. One of the best ways to fund your account is via a bank wire instantly out of your checking or financial savings account into your new brokerage account. I ACKNOWLEDGE THAT MY BROKERAGE DOES NOT PRESENT INVESTMENT, TAX, OR LEGAL RECOMMENDATION OR SUGGESTIONS. The information contained on this web site doesn’t represent the supply of advice or constitute or type a part of any provide, solicitation or invitation to subscribe for or purchase any securities or other financial product nor shall it type a part of it or type the premise of or be relied upon in connection with any contract or dedication in any way.

You ought to be aware of all of the risks associated with international change buying and selling, and seek advice from an impartial financial advisor when you’ve got any doubts. As the identify implies, it is an account that helps you commerce within the stock market. To transfer shares held with the share registry into your CommSec Share Buying and selling Account it’s essential full an Issuer Sponsored Holdings to CHESS Sponsorship Switch Kind. A secure and easy to use on-line trading account with clear, honest and competitive pricing.

If you need the dealer to trade your account for you, you’ll be able to choose this. Demat account is generally for the people who would like to make investments in the market and maintain the shares within the digital type. Spend money on Australian corporations listed on the ASX , with brokerage from as little as $10.002 per trade. This would possibly include, but is not limited to, saving accounts, choices, shares portfolios, equities and funding in funds. Most, nevertheless, supply cash accounts at a participation stage of about $10,000.

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