Writing a good research grant proposal is not easy. This document is an attempt to collect together a number of suggestions about what makes a good proposal. It is inevitably a personal view on the part of the authors; we would welcome feedback and suggestions from others.
APPROACHING A PROPOSAL
The first and most obvious thing to do is to read the advice offered by your funding agency. In the case of EPSRC, the primary funding body for computing science research, there is a "Guide to EPSRC Research Grants". We make no attempt to duplicate the material in the EPSRC guide or any other; you must get yourself a copy and follow the guidance closely.
The most substantial part of any grant application is some form of "Case for Support". It is this case which will persuade, or fail to persuade, your funding body of the value of your proposal. Proposals range very widely indeed in their quality. You can improve your chances enormously simply by ruthlessly writing and rewriting. This document is entirely about improving your case for support.
There are two vital facts to bear in mind:
Your case for support will, with luck, be read by one or two experts in your field. But the programme manager, and most members of the panel that judges your proposal against others, won't be expert. You must, must, must write your proposal for their benefit too.
Remember that programme managers and panel members see tens or hundreds of cases for support, so you have one minute or less to grab your reader's attention.
Based on these facts, here are two Golden Rules:
Ask lots of people to help you improve your proposal. Give it to your colleagues, your friends, your spouse, your dog, and listen to what they say. If they misunderstand what you were trying to say, don't say "you misunderstood me"; instead rewrite it so it can't be misunderstood. If they don't immediately see the value of what you want to achieve, rewrite it until they do. And so on.
This isn't a big demand to make on someone. Ask them to read your proposal for 10 minutes, and say what they think. Remember, most committee members will give it less time than that.
Make sure that the first page acts as a stand-alone summary of the entire proposal. Assume (it's a safe assumption) that many readers will get no further than the first page. So don't fill it up with boilerplate about the technical background. Instead, present your whole case: what you want to do, why it's important, why you will succeed, how much it will cost, and so on.
CRITERIA FOR A GOOD GRANT PROPOSAL
Most funding agencies apply similar criteria to the evaluation of proposals. We discuss these below. It is important to address these criteria directly in your case for support. A proposal which fails to meet them will be rejected regardless of the quality of its source. Otherwise, there is a danger of discriminating unfairly in favour of well-known applicants.
Major criteria
Here are the major criteria against which your proposal will be judged. Read through your case for support repeatedly, and ask whether the answers to the questions below are clear, even to a non-expert.
Does the proposal address a well-formulated problem?
Is it a research problem, or is it just a routine application of known techniques?
Is it an important problem, whose solution will have useful effects?
Is special funding necessary to solve the problem, or to solve it quickly enough, or could it be solved using the normal resources of a well-found laboratory?
Do the proposers have a good idea on which to base their work? The proposal must explain the idea in sufficient detail to convince the reader that the idea has some substance, and should explain why there is reason to believe that it is indeed a good idea. It is absolutely not enough merely to identify a wish-list of desirable goals (a very common fault). There must be significant technical substance to the proposal.
Does the proposal explain clearly what work will be done? Does it explain what results are expected and how they will be evaluated? How would it be possible to judge whether the work was successful?
Is there evidence that the proposers know about the work that others have done on the problem? This evidence may take the form of a short review as well as representative references.
Do the proposers have a good track record, both of doing good research and of publishing it? A representative selection of relevant publications by the proposers should be cited. Absence of a track record is clearly not a disqualifying characteristic, especially in the case of young researchers, but a consistent failure to publish raises question marks.
Secondary criteria
Some secondary criteria may be applied to separate closely-matched proposals. It is often essentially impossible to distinguish in a truly objective manner among such proposals and it is sad that it is necessary to do so. The criteria are ambiguous and conflict with each other, so the committee simply has to use its best judgement in making its recommendations.
An applicant with little existing funding may deserve to be placed ahead of a well- funded one. On the other hand, existing funding provides evidence of a good track record.
There is merit in funding a proposal to keep a strong research team together; but it is also important to give priority to new researchers in the field.
An attempt is made to maintain a reasonable balance between different research areas, where this is possible.
Evidence of industrial interest in a proposal, and of its potential for future exploitation will usually count in its favour. The closer the research is to producing a product the more industrial involvement is required and this should usually include some industrial contribution to the project. The case for support should include some `route to market' plan, ie you should have thought about how the research will eventually become a product --- identifying an industrial partner is usually part of such a plan.
A proposal will benefit if it is seen to address recommendations of Technology Foresight. It is worth looking at the relevant Foresight Panel reports and including quotes in your case for support that relate to your proposal.
Cost-effectiveness
Finally, the programme manager tries to ensure that his or her budget is to be used in a cost-effective manner. Each proposal which has some chance of being funded is examined, and the programme manager may lop costs off an apparently over-expensive project.Such cost reduction is likely to happen if the major costs of staff and equipment are not given clear, individual justification.
COMMON SHORTCOMINGS
Here are some of the ways in which proposals often fail to meet these criteria.
It is not clear what question is being addressed by the proposal. In particular, it is not clear what the outcome of the research might be, or what would constitute success or failure. It is vital to discuss what contribution to human knowledge would be made by the research.
The question being addressed is woolly or ill-formed. The committee are looking for evidence of clear thinking both in the formulation of the problem and in the planned attack on it.
It is not clear why the question is worth addressing. The proposal must be well motivated.
The proposal is just a routine application of known techniques. Research funding agencies are interested in funding research rather than development. Industry are expected to fund development work. The LINK scheme is appropriate for proposals which combine both research and development. If the development would benefit another research field, rather than industry, then look to the funding agencies of that field.
Industry ought to be doing it instead. If the work is `near market' then it should be done by industry or industry or venture capital should be funding you to do it. If no industry is interested then the prima facie assumption is that the product has no commercial value.
There is no evidence that the proposers will succeed where others have failed. It is easy enough to write a proposal with an exciting-sounding wish-list of hoped-for achievements, but you must substantiate your goals with solid evidence of why you have a good chance of achieving them.
This evidence generally takes two main forms:
"We have an idea". In this case, you should sketch the idea, and describe preliminary work you have done which shows that it is indeed a good idea. You are unlikely to get funding without such evidence. It is not good saying "give us the money and we will start thinking about this problem".
"We have a good track record". Include a selective list of publications, and perhaps include a short paper (preferably a published one) which gives more background, as an appendix. If you make it clear that it is an appendix, you won't usually fall foul of any length limits.
A new idea is claimed but insufficient technical details of the idea are given for the committee to be able to judge whether it looks promising. Since the committee cannot be expert in all areas there is a danger of overwhelming them with technical details, but it is better to err by overwhelming them than by underwhelming them. They will usually get an expert referee to evaluate your idea.
The proposers seem unaware of related research. Related work must be mentioned, if only to be dismissed. Otherwise, the committee will think that the proposers are ignorant and, therefore, not the best group to fund. The case for support should have a list of references like any paper, and you should look at it to check it has a balanced feel - your referee will do so. Do not make the mistake of giving references only to your own work!
The proposed research has already been done - or appears to have been done. Rival solutions must be discussed and their inadequacies revealed.
The proposal is badly presented, or incomprehensible to all but an expert in the field. Remember that your proposal will be read by non-experts as well as (hopefully) experts. A good proposal is simultaneously comprehensible to non-experts, while also convincing experts that you know your subject. Keep highly-technical material in well-signposted section(s); avoid it in the introduction.
The proposers seem to be attempting too much for the funding requested and time-scale envisaged. Such lack of realism may reflect a poor understanding of the problem or poor research methodology.
The proposal is too expensive for the probable gain. If it is easy to see how to cut the request for people/equipment/travel, etc. to something more reasonable then it might be awarded in reduced form. More likely, it will be rejected.
The proposers institution should be funding it. Research agencies will usually only fund research that requires resources beyond that which might be expected in a "well-found laboratory" --- indeed, this is part of the charter of the research councils. If it looks like your proposal might be done by a PhD student on the departmental computer then that is what should happen. If the proposer's laboratory is not "well-found" then this is taken to be a vote of no-confidence in the proposer by his/her institution.
Doubtless there are other common grounds for failure that have been omitted. If you know of any please let us know!.
Often, one can tell from independent knowledge of the proposers or by reading between the lines of the proposal, that the criteria could have been met if a little bit more thought had gone into the proposal. There is a clear question being addressed by the research, but the proposers failed to clarify what it was. The proposers are aware of related research, but they failed to discuss it in the proposal. The proposers do have some clear technical ideas, but they thought it inappropriate to go into such detail in the proposal. Unfortunately, there is a limit to which a funding agencies can give such cases the benefit of the doubt. It is not fair for referees to overlook shortcomings in proposals of which they have personal knowledge if similar shortcomings are not overlooked in proposals which they have not encountered before. In any case, proposals which do meet the criteria deserve precedence.
CONCLUSION
We hope that this document will help you to write better grant proposals, and hence to be more successful in obtaining funds for your research. This article is not just about writing better grant proposals to obtain more money. The basic set-up of peer-reviewed grants of limited duration is a sensible one. It compels researchers regularly to review and re-justify the direction of their work. Behind poorly presented grant proposals often lie poorly-reasoned research plans. Perhaps if we can improve the quality of Computer Science proposals we will also improve the quality of Computer Science research.
Tuesday, December 19, 2006
Sunday, December 17, 2006
economic indicators
Economic indicators are snippets of financial and economic data published by various agencies of the government or private sector. These statistics, which are made public on a regularly scheduled basis, help market observers monitor the pulse of the economy. Therefore, they are religiously followed by almost everyone in the financial markets. With so many people poised to react to the same information, economic indicators in general have tremendous potential to generate volume and to move prices in the markets. While on the surface it might seem that an advanced degree in economics would come in handy to analyze and then trade on the glut of information contained in these economic indicators, a few simple guidelines are all that is necessary to track, organize and make trading decisions based on the data.
Know exactly when each economic indicator is due to be released. Keep a calendar on your desk or trading station that contains the date and time when each stat will be made public. You can find these calendars on the N.Y. Federal Reserve Bank Web site using this link http://www.ny.frb.org/, and then by searching for "economic indicators." The same information is also available on many other sources on the Web or from the company you use to execute your trades.
Keeping track of the calendar of economic indicators will also help you make sense out of otherwise unanticipated price action in the market. Consider this scenario: it's Monday morning and the USD has been in a tailspin for three weeks. As such, it's safe to assume that many traders are holding large short USD positions. However, on Friday the employment data for the U.S. is due to be released. It is very likely that with this key piece of economic information soon to be made public, the USD could experience a short-term rally leading up to the data on Friday as traders pare down their short positions. The point here is that economic indicators can effect prices directly (following their release to the public) or indirectly (as traders massage their positions in anticipation of the data.)
Understand what particular aspect of the economy is being revealed in the data. For example, you should know which indicators measure the growth of the economy (GDP) vs. those that measure inflation (PPI, CPI) or employment (non-farm payrolls). After you follow the data for a while, you'll become very familiar with the nuances of each economic indicator and what part of the economy they are measuring.
Not all economic indicators are created equal. Well, they might've been created with equal importance but along the way, some have acquired much greater potential to move the markets than others. Market participants will place higher regard on one stat vs. another depending on the state of the economy.
Know which indicators the markets are keying on. For example, if prices (inflation) are not a crucial issue for a particular country, inflation data will probably not be as keenly anticipated or reacted to by the markets. On the other hand, if economic growth is a vexing problem, changes in employment data or GDP will be eagerly anticipated and could precipitate tremendous volatility following their release.
The data itself is not as important as whether or not it falls within market expectations. Besides knowing when all the data will hit the wires, it is vitally important that you know what economists and other market pundits are forecasting for each indicator. For example, knowing the economic consequences of an unexpected monthly rise of 0.3% in the producer price index (PPI) is not nearly as vital to your short-term trading decisions as it is to know that this month the market was looking for PPI to fall by 0.1%. As mentioned, you should know that PPI measures prices and that an unexpected rise could be a sign of inflation. But analyzing the longer-term ramifications of this unexpected monthly rise in prices can wait until after you've taken advantage of the trading opportunities presented by the data. Once again, market expectations for all economic releases are published on various sources on the Web and you should post these expectations on your calendar along with the release date of the indicator.
Don't get caught up in the headlines. Part of getting a handle on what the market is forecasting for various economic indicators is knowing the key aspects of each indicator. While your macroeconomics professor might have drilled the significance of the unemployment rate into your head, even junior traders can tell you that the headline figure is for amateurs and that the most closely watched detail in the payroll data is the non-farm payrolls figure. Other economic indicators are similar in that the headline figure is not nearly as closely watched as the finer points of the data. PPI for example, measures changes in producer prices. But the stat most closely watched by the markets is PPI, ex-food and energy. Traders know that the food and energy component of the data is much too volatile and subject to revisions on a month-to-month basis to provide an accurate reading on the changes in producer prices.
Speaking of revisions, don't be too quick to pull that trigger should a particular economic indicator fall outside of market expectations. Contained in each new economic indicator released to the public are revisions to previously released data. For example, if durable goods should rise by 0.5% in the current month, while the market is anticipating them to fall, the unexpected rise could be the result of a downward revision to the prior month. Look at revisions to older data because in this case, the previous month's durable goods figure might've been originally reported as a rise of 0.5% but now, along with the new figures, is being revised lower to say a rise of only 0.1% Therefore, the unexpected rise in the current month is likely the result of a downward revision to the previous month's data.
Don't forget that there are two sides to a trade in the foreign exchange market. So, while you might have a great handle on the complete package of economic indicators published in the United States or Europe, most other countries also publish similar economic data. The important thing to remember here is that not all countries are as efficient as the G7 in releasing this information. Once again, if you are going to trade the currency of a particular country, you need to find out the particulars about their economic indicators. As mentioned above, not all of these indicators carry the same weight in the markets and not all of them are as accurate as others. Do your homework and you won't be caught off guard.
General information regarding major economic indicators
When focusing exclusively on the impact that economic indicators have on price action in a particular market, the foreign exchange markets are the most challenging, and therefore, have greatest potential for profits of any market. Obviously, factors other than economic indicators move prices and as such make other markets more or less potentially profitable. But since a currency is a proxy for the country it represents, the economic health of that country is priced into the currency. One very important way to measure the health of an economy is through economic indicators. The challenge comes in diligently keeping track of the nuts and bolts of each country's particular economic information package. Here are a few general comments about economic indicators and some of the more closely watched data.
Most economic indicators can be divided into leading and lagging indicators.
Leading indicators are economic factors that change before the economy starts to follow a particular pattern or trend. Leading indicators are used to predict changes in the economy.
Lagging Indicators are economic factors that change after the economy has already begun to follow a particular pattern or trend.
Major Indicators
The Gross Domestic Product (GDP) - The sum of all goods and services produced either by domestic or foreign companies. GDP indicates the pace at which a country's economy is growing (or shrinking) and is considered the broadest indicator of economic output and growth.
Industrial Production - It is a chain-weighted measure of the change in the production of the nation's factories, mines and utilities as well as a measure of their industrial capacity and of how many available resources among factories, utilities and mines are being used (commonly known as capacity utilization). The manufacturing sector accounts for one-quarter of the economy. The capacity utilization rate provides an estimate of how much factory capacity is in use.
Purchasing Managers Index (PMI) - The National Association of Purchasing Managers (NAPM), now called the Institute for Supply Management, releases a monthly composite index of national manufacturing conditions, constructed from data on new orders, production, supplier delivery times, backlogs, inventories, prices, employment, export orders, and import orders. It is divided into manufacturing and non-manufacturing sub-indices.
Producer Price Index (PPI) - The Producer Price Index (PPI) is a measure of price changes in the manufacturing sector. It measures average changes in selling prices received by domestic producers in the manufacturing, mining, agriculture, and electric utility industries for their output. The PPIs most often used for economic analysis are those for finished goods, intermediate goods, and crude goods.
Consumer Price Index (CPI) - The Consumer Price Index (CPI) is a measure of the average price level paid by urban consumers (80% of population) for a fixed basket of goods and services. It reports price changes in over 200 categories. The CPI also includes various user fees and taxes directly associated with the prices of specific goods and services.
Durable Goods - Durable Goods Orders measures new orders placed with domestic manufacturers for immediate and future delivery of factory hard goods. A durable good is defined as a good that lasts an extended period of time (over three years) during which its services are extended.
Employment Cost Index (ECI) - Payroll employment is a measure of the number of jobs in more than 500 industries in all states and 255 metropolitan areas. The employment estimates are based on a survey of larger businesses and counts the number of paid employees working part-time or full-time in the nation's business and government establishments.
Retail Sales - The retail sales report is a measure of the total receipts of retail stores from samples representing all sizes and kinds of business in retail trade throughout the nation. It is the timeliest indicator of broad consumer spending patterns and is adjusted for normal seasonal variation, holidays, and trading-day differences. Retail sales include durable and nondurable merchandise sold, and services and excise taxes incidental to the sale of merchandise. Excluded are sales taxes collected directly from the customer.
Housing Starts - The Housing Starts report measures the number of residential units on which construction is begun each month. A start in construction is defined as the beginning of excavation of the foundation for the building and is comprised primarily of residential housing. Housing is very interest rate sensitive and is one of the first sectors to react to changes in interest rates. Significant reaction of start/permits to changing interest rates signals interest rates are nearing trough or peak. To analyze, focus on the percentage change in levels from the previous month. Report is released around the middle of the following month.
Know exactly when each economic indicator is due to be released. Keep a calendar on your desk or trading station that contains the date and time when each stat will be made public. You can find these calendars on the N.Y. Federal Reserve Bank Web site using this link http://www.ny.frb.org/, and then by searching for "economic indicators." The same information is also available on many other sources on the Web or from the company you use to execute your trades.
Keeping track of the calendar of economic indicators will also help you make sense out of otherwise unanticipated price action in the market. Consider this scenario: it's Monday morning and the USD has been in a tailspin for three weeks. As such, it's safe to assume that many traders are holding large short USD positions. However, on Friday the employment data for the U.S. is due to be released. It is very likely that with this key piece of economic information soon to be made public, the USD could experience a short-term rally leading up to the data on Friday as traders pare down their short positions. The point here is that economic indicators can effect prices directly (following their release to the public) or indirectly (as traders massage their positions in anticipation of the data.)
Understand what particular aspect of the economy is being revealed in the data. For example, you should know which indicators measure the growth of the economy (GDP) vs. those that measure inflation (PPI, CPI) or employment (non-farm payrolls). After you follow the data for a while, you'll become very familiar with the nuances of each economic indicator and what part of the economy they are measuring.
Not all economic indicators are created equal. Well, they might've been created with equal importance but along the way, some have acquired much greater potential to move the markets than others. Market participants will place higher regard on one stat vs. another depending on the state of the economy.
Know which indicators the markets are keying on. For example, if prices (inflation) are not a crucial issue for a particular country, inflation data will probably not be as keenly anticipated or reacted to by the markets. On the other hand, if economic growth is a vexing problem, changes in employment data or GDP will be eagerly anticipated and could precipitate tremendous volatility following their release.
The data itself is not as important as whether or not it falls within market expectations. Besides knowing when all the data will hit the wires, it is vitally important that you know what economists and other market pundits are forecasting for each indicator. For example, knowing the economic consequences of an unexpected monthly rise of 0.3% in the producer price index (PPI) is not nearly as vital to your short-term trading decisions as it is to know that this month the market was looking for PPI to fall by 0.1%. As mentioned, you should know that PPI measures prices and that an unexpected rise could be a sign of inflation. But analyzing the longer-term ramifications of this unexpected monthly rise in prices can wait until after you've taken advantage of the trading opportunities presented by the data. Once again, market expectations for all economic releases are published on various sources on the Web and you should post these expectations on your calendar along with the release date of the indicator.
Don't get caught up in the headlines. Part of getting a handle on what the market is forecasting for various economic indicators is knowing the key aspects of each indicator. While your macroeconomics professor might have drilled the significance of the unemployment rate into your head, even junior traders can tell you that the headline figure is for amateurs and that the most closely watched detail in the payroll data is the non-farm payrolls figure. Other economic indicators are similar in that the headline figure is not nearly as closely watched as the finer points of the data. PPI for example, measures changes in producer prices. But the stat most closely watched by the markets is PPI, ex-food and energy. Traders know that the food and energy component of the data is much too volatile and subject to revisions on a month-to-month basis to provide an accurate reading on the changes in producer prices.
Speaking of revisions, don't be too quick to pull that trigger should a particular economic indicator fall outside of market expectations. Contained in each new economic indicator released to the public are revisions to previously released data. For example, if durable goods should rise by 0.5% in the current month, while the market is anticipating them to fall, the unexpected rise could be the result of a downward revision to the prior month. Look at revisions to older data because in this case, the previous month's durable goods figure might've been originally reported as a rise of 0.5% but now, along with the new figures, is being revised lower to say a rise of only 0.1% Therefore, the unexpected rise in the current month is likely the result of a downward revision to the previous month's data.
Don't forget that there are two sides to a trade in the foreign exchange market. So, while you might have a great handle on the complete package of economic indicators published in the United States or Europe, most other countries also publish similar economic data. The important thing to remember here is that not all countries are as efficient as the G7 in releasing this information. Once again, if you are going to trade the currency of a particular country, you need to find out the particulars about their economic indicators. As mentioned above, not all of these indicators carry the same weight in the markets and not all of them are as accurate as others. Do your homework and you won't be caught off guard.
General information regarding major economic indicators
When focusing exclusively on the impact that economic indicators have on price action in a particular market, the foreign exchange markets are the most challenging, and therefore, have greatest potential for profits of any market. Obviously, factors other than economic indicators move prices and as such make other markets more or less potentially profitable. But since a currency is a proxy for the country it represents, the economic health of that country is priced into the currency. One very important way to measure the health of an economy is through economic indicators. The challenge comes in diligently keeping track of the nuts and bolts of each country's particular economic information package. Here are a few general comments about economic indicators and some of the more closely watched data.
Most economic indicators can be divided into leading and lagging indicators.
Leading indicators are economic factors that change before the economy starts to follow a particular pattern or trend. Leading indicators are used to predict changes in the economy.
Lagging Indicators are economic factors that change after the economy has already begun to follow a particular pattern or trend.
Major Indicators
The Gross Domestic Product (GDP) - The sum of all goods and services produced either by domestic or foreign companies. GDP indicates the pace at which a country's economy is growing (or shrinking) and is considered the broadest indicator of economic output and growth.
Industrial Production - It is a chain-weighted measure of the change in the production of the nation's factories, mines and utilities as well as a measure of their industrial capacity and of how many available resources among factories, utilities and mines are being used (commonly known as capacity utilization). The manufacturing sector accounts for one-quarter of the economy. The capacity utilization rate provides an estimate of how much factory capacity is in use.
Purchasing Managers Index (PMI) - The National Association of Purchasing Managers (NAPM), now called the Institute for Supply Management, releases a monthly composite index of national manufacturing conditions, constructed from data on new orders, production, supplier delivery times, backlogs, inventories, prices, employment, export orders, and import orders. It is divided into manufacturing and non-manufacturing sub-indices.
Producer Price Index (PPI) - The Producer Price Index (PPI) is a measure of price changes in the manufacturing sector. It measures average changes in selling prices received by domestic producers in the manufacturing, mining, agriculture, and electric utility industries for their output. The PPIs most often used for economic analysis are those for finished goods, intermediate goods, and crude goods.
Consumer Price Index (CPI) - The Consumer Price Index (CPI) is a measure of the average price level paid by urban consumers (80% of population) for a fixed basket of goods and services. It reports price changes in over 200 categories. The CPI also includes various user fees and taxes directly associated with the prices of specific goods and services.
Durable Goods - Durable Goods Orders measures new orders placed with domestic manufacturers for immediate and future delivery of factory hard goods. A durable good is defined as a good that lasts an extended period of time (over three years) during which its services are extended.
Employment Cost Index (ECI) - Payroll employment is a measure of the number of jobs in more than 500 industries in all states and 255 metropolitan areas. The employment estimates are based on a survey of larger businesses and counts the number of paid employees working part-time or full-time in the nation's business and government establishments.
Retail Sales - The retail sales report is a measure of the total receipts of retail stores from samples representing all sizes and kinds of business in retail trade throughout the nation. It is the timeliest indicator of broad consumer spending patterns and is adjusted for normal seasonal variation, holidays, and trading-day differences. Retail sales include durable and nondurable merchandise sold, and services and excise taxes incidental to the sale of merchandise. Excluded are sales taxes collected directly from the customer.
Housing Starts - The Housing Starts report measures the number of residential units on which construction is begun each month. A start in construction is defined as the beginning of excavation of the foundation for the building and is comprised primarily of residential housing. Housing is very interest rate sensitive and is one of the first sectors to react to changes in interest rates. Significant reaction of start/permits to changing interest rates signals interest rates are nearing trough or peak. To analyze, focus on the percentage change in levels from the previous month. Report is released around the middle of the following month.
fundamental analysis
Fundamental analysis refers to the study of the core underlying elements that influence the economy of a particular entity. It is a method of study that attempts to predict price action and market trends by analyzing economic indicators, government policy and societal factors (to name just a few elements) within a business cycle framework. If you think of the financial markets as a big clock, the fundamentals are the gears and springs that move the hands around the face. Anyone walking down the street can look at this clock and tell you what time it is now, but the fundamentalist can tell you how it came to be this time and more importantly, what time (or more precisely, what price) it will be in the future.
There is a tendency to pigeonhole traders into two distinct schools of market analysis - fundamental and technical. Indeed, the first question posed to you after you tell someone that you are a trader is generally "Are you a technician or a fundamentalist?" The reality is that it has become increasingly difficult to be a purist of either persuasion. Fundamentalists need to keep an eye on the various signals derived from the price action on charts, while few technicians can afford to completely ignore impending economic data, critical political decisions or the myriad of societal issues that influence prices.
Bearing in mind that the financial underpinnings of any country, trading bloc or multinational industry takes into account many factors, including social, political and economic influences, staying on top of an extremely fluid fundamental picture can be challenging. At the same time, you'll find that your knowledge and understanding of a dynamic global market will increase immeasurably as you delve further and further into the complexities and subtleties of the fundamentals of the markets.
Fundamental analysis is a very effective way to forecast economic conditions, but not necessarily exact market prices. For example, when analyzing an economist's forecast of the upcoming GDP or employment report, you begin to get a fairly clear picture of the general health of the economy and the forces at work behind it. However, you'll need to come up with a precise method as to how best to translate this information into entry and exit points for a particular trading strategy.
A trader who studies the markets using fundamental analysis will generally create models to formulate a trading strategy. These models typically utilize a host of empirical data and attempt to forecast market behavior and estimate future values or prices by using past values of core economic indicators. This information is then used to derive specific trades that best exploit this information.
Forecasting models are as numerous and varied as the traders and market buffs that create them. Two people can look at the exact same data and come up with two completely different conclusions about how the market will be influenced by it. Therefore is it important that before casting yourself into a particular mold regarding any aspect of market analysis, you study the fundamentals and see how they best fit your trading style and expectations.
Don't succumb to 'paralysis by analysis.' Given the multitude of factors that fall under the heading of "The Fundamentals," there is a distinct danger of information overload. Sometimes traders fall into this trap and are unable to pull the trigger on a trade. This is one of the reasons why many traders turn to technical analysis. To some, technical analysis is seen as a way to transform all of the fundamental factors that influence the markets into one simple tool, prices. However, trading a particular market without knowing a great deal about the exact nature of its underlying elements is like fishing without bait. You might get lucky and snare a few on occasion but it's not the best approach over the long haul.
For forex traders, the fundamentals are everything that makes a country tick. From interest rates and central bank policy to natural disasters, the fundamentals are a dynamic mix of distinct plans, erratic behaviors and unforeseen events. Therefore, it is best to get a handle on the most influential contributors to this diverse mix than it is to formulate a comprehensive list of all "The Fundamentals."
There is a tendency to pigeonhole traders into two distinct schools of market analysis - fundamental and technical. Indeed, the first question posed to you after you tell someone that you are a trader is generally "Are you a technician or a fundamentalist?" The reality is that it has become increasingly difficult to be a purist of either persuasion. Fundamentalists need to keep an eye on the various signals derived from the price action on charts, while few technicians can afford to completely ignore impending economic data, critical political decisions or the myriad of societal issues that influence prices.
Bearing in mind that the financial underpinnings of any country, trading bloc or multinational industry takes into account many factors, including social, political and economic influences, staying on top of an extremely fluid fundamental picture can be challenging. At the same time, you'll find that your knowledge and understanding of a dynamic global market will increase immeasurably as you delve further and further into the complexities and subtleties of the fundamentals of the markets.
Fundamental analysis is a very effective way to forecast economic conditions, but not necessarily exact market prices. For example, when analyzing an economist's forecast of the upcoming GDP or employment report, you begin to get a fairly clear picture of the general health of the economy and the forces at work behind it. However, you'll need to come up with a precise method as to how best to translate this information into entry and exit points for a particular trading strategy.
A trader who studies the markets using fundamental analysis will generally create models to formulate a trading strategy. These models typically utilize a host of empirical data and attempt to forecast market behavior and estimate future values or prices by using past values of core economic indicators. This information is then used to derive specific trades that best exploit this information.
Forecasting models are as numerous and varied as the traders and market buffs that create them. Two people can look at the exact same data and come up with two completely different conclusions about how the market will be influenced by it. Therefore is it important that before casting yourself into a particular mold regarding any aspect of market analysis, you study the fundamentals and see how they best fit your trading style and expectations.
Don't succumb to 'paralysis by analysis.' Given the multitude of factors that fall under the heading of "The Fundamentals," there is a distinct danger of information overload. Sometimes traders fall into this trap and are unable to pull the trigger on a trade. This is one of the reasons why many traders turn to technical analysis. To some, technical analysis is seen as a way to transform all of the fundamental factors that influence the markets into one simple tool, prices. However, trading a particular market without knowing a great deal about the exact nature of its underlying elements is like fishing without bait. You might get lucky and snare a few on occasion but it's not the best approach over the long haul.
For forex traders, the fundamentals are everything that makes a country tick. From interest rates and central bank policy to natural disasters, the fundamentals are a dynamic mix of distinct plans, erratic behaviors and unforeseen events. Therefore, it is best to get a handle on the most influential contributors to this diverse mix than it is to formulate a comprehensive list of all "The Fundamentals."
price charts
Chart patterns
There are a variety of charts that show price action. The most common are bar charts. Each bar will represent one period of time and that period can be anything from one minute to one month to several years. These charts will show distinct price patterns that develop over time.
Candlestick patterns
Like bar charts patterns, candlestick patterns can be used to forecast the market. Because of their colored bodies, candlesticks provide greater visual detail in their chart patterns than bar charts.
Point & figure patterns
Point and figure patterns are essentially the same patterns found in bar charts but Xs and Os are used to market changes in price direction. In addition, point and figure charts make no use of time scales to indicate the particular day associated with certain price action.
Technical Indicators
Here are a few of the more common types of indicators used in technical analysis:
Trend indicators
Trend is a term used to describe the persistence of price movement in one direction over time. Trends move in three directions: up, down and sideways. Trend indicators smooth variable price data to create a composite of market direction. (Example: Moving Averages, Trend lines)
Strength indicators
Market strength describes the intensity of market opinion with reference to a price by examining the market positions taken by various market participants. Volume or open interest are the basic ingredients of this indicator. Their signals are coincident or leading the market. (Example: Volume)
Volatility indicators
Volatility is a general term used to describe the magnitude, or size, of day-to-day price fluctuations independent of their direction. Generally, changes in volatility tend to lead changes in prices. (Example: Bollinger Bands)
Cycle indicators
A cycle is a term to indicate repeating patterns of market movement, specific to recurrent events, such as seasons, elections, etc. Many markets have a tendency to move in cyclical patterns. Cycle indicators determine the timing of a particular market patterns. (Example: Elliott Wave)
Support/resistance indicators
Support and resistance describes the price levels where markets repeatedly rise or fall and then reverse. This phenomenon is attributed to basic supply and demand. (Example: Trend Lines)
Momentum indicators
Momentum is a general term used to describe the speed at which prices move over a given time period. Momentum indicators determine the strength or weakness of a trend as it progresses over time. Momentum is highest at the beginning of a trend and lowest at trend turning points. Any divergence of directions in price and momentum is a warning of weakness; if price extremes occur with weak momentum, it signals an end of movement in that direction. If momentum is trending strongly and prices are flat, it signals a potential change in price direction. (Example: Stochastic, MACD, RSI)
There are a variety of charts that show price action. The most common are bar charts. Each bar will represent one period of time and that period can be anything from one minute to one month to several years. These charts will show distinct price patterns that develop over time.
Candlestick patterns
Like bar charts patterns, candlestick patterns can be used to forecast the market. Because of their colored bodies, candlesticks provide greater visual detail in their chart patterns than bar charts.
Point & figure patterns
Point and figure patterns are essentially the same patterns found in bar charts but Xs and Os are used to market changes in price direction. In addition, point and figure charts make no use of time scales to indicate the particular day associated with certain price action.
Technical Indicators
Here are a few of the more common types of indicators used in technical analysis:
Trend indicators
Trend is a term used to describe the persistence of price movement in one direction over time. Trends move in three directions: up, down and sideways. Trend indicators smooth variable price data to create a composite of market direction. (Example: Moving Averages, Trend lines)
Strength indicators
Market strength describes the intensity of market opinion with reference to a price by examining the market positions taken by various market participants. Volume or open interest are the basic ingredients of this indicator. Their signals are coincident or leading the market. (Example: Volume)
Volatility indicators
Volatility is a general term used to describe the magnitude, or size, of day-to-day price fluctuations independent of their direction. Generally, changes in volatility tend to lead changes in prices. (Example: Bollinger Bands)
Cycle indicators
A cycle is a term to indicate repeating patterns of market movement, specific to recurrent events, such as seasons, elections, etc. Many markets have a tendency to move in cyclical patterns. Cycle indicators determine the timing of a particular market patterns. (Example: Elliott Wave)
Support/resistance indicators
Support and resistance describes the price levels where markets repeatedly rise or fall and then reverse. This phenomenon is attributed to basic supply and demand. (Example: Trend Lines)
Momentum indicators
Momentum is a general term used to describe the speed at which prices move over a given time period. Momentum indicators determine the strength or weakness of a trend as it progresses over time. Momentum is highest at the beginning of a trend and lowest at trend turning points. Any divergence of directions in price and momentum is a warning of weakness; if price extremes occur with weak momentum, it signals an end of movement in that direction. If momentum is trending strongly and prices are flat, it signals a potential change in price direction. (Example: Stochastic, MACD, RSI)
price charts
Chart patterns
There are a variety of charts that show price action. The most common are bar charts. Each bar will represent one period of time and that period can be anything from one minute to one month to several years. These charts will show distinct price patterns that develop over time.
Candlestick patterns
Like bar charts patterns, candlestick patterns can be used to forecast the market. Because of their colored bodies, candlesticks provide greater visual detail in their chart patterns than bar charts.
Point & figure patterns
Point and figure patterns are essentially the same patterns found in bar charts but Xs and Os are used to market changes in price direction. In addition, point and figure charts make no use of time scales to indicate the particular day associated with certain price action.
Technical Indicators
Here are a few of the more common types of indicators used in technical analysis:
Trend indicators
Trend is a term used to describe the persistence of price movement in one direction over time. Trends move in three directions: up, down and sideways. Trend indicators smooth variable price data to create a composite of market direction. (Example: Moving Averages, Trend lines)
Strength indicators
Market strength describes the intensity of market opinion with reference to a price by examining the market positions taken by various market participants. Volume or open interest are the basic ingredients of this indicator. Their signals are coincident or leading the market. (Example: Volume)
Volatility indicators
Volatility is a general term used to describe the magnitude, or size, of day-to-day price fluctuations independent of their direction. Generally, changes in volatility tend to lead changes in prices. (Example: Bollinger Bands)
Cycle indicators
A cycle is a term to indicate repeating patterns of market movement, specific to recurrent events, such as seasons, elections, etc. Many markets have a tendency to move in cyclical patterns. Cycle indicators determine the timing of a particular market patterns. (Example: Elliott Wave)
Support/resistance indicators
Support and resistance describes the price levels where markets repeatedly rise or fall and then reverse. This phenomenon is attributed to basic supply and demand. (Example: Trend Lines)
Momentum indicators
Momentum is a general term used to describe the speed at which prices move over a given time period. Momentum indicators determine the strength or weakness of a trend as it progresses over time. Momentum is highest at the beginning of a trend and lowest at trend turning points. Any divergence of directions in price and momentum is a warning of weakness; if price extremes occur with weak momentum, it signals an end of movement in that direction. If momentum is trending strongly and prices are flat, it signals a potential change in price direction. (Example: Stochastic, MACD, RSI)
There are a variety of charts that show price action. The most common are bar charts. Each bar will represent one period of time and that period can be anything from one minute to one month to several years. These charts will show distinct price patterns that develop over time.
Candlestick patterns
Like bar charts patterns, candlestick patterns can be used to forecast the market. Because of their colored bodies, candlesticks provide greater visual detail in their chart patterns than bar charts.
Point & figure patterns
Point and figure patterns are essentially the same patterns found in bar charts but Xs and Os are used to market changes in price direction. In addition, point and figure charts make no use of time scales to indicate the particular day associated with certain price action.
Technical Indicators
Here are a few of the more common types of indicators used in technical analysis:
Trend indicators
Trend is a term used to describe the persistence of price movement in one direction over time. Trends move in three directions: up, down and sideways. Trend indicators smooth variable price data to create a composite of market direction. (Example: Moving Averages, Trend lines)
Strength indicators
Market strength describes the intensity of market opinion with reference to a price by examining the market positions taken by various market participants. Volume or open interest are the basic ingredients of this indicator. Their signals are coincident or leading the market. (Example: Volume)
Volatility indicators
Volatility is a general term used to describe the magnitude, or size, of day-to-day price fluctuations independent of their direction. Generally, changes in volatility tend to lead changes in prices. (Example: Bollinger Bands)
Cycle indicators
A cycle is a term to indicate repeating patterns of market movement, specific to recurrent events, such as seasons, elections, etc. Many markets have a tendency to move in cyclical patterns. Cycle indicators determine the timing of a particular market patterns. (Example: Elliott Wave)
Support/resistance indicators
Support and resistance describes the price levels where markets repeatedly rise or fall and then reverse. This phenomenon is attributed to basic supply and demand. (Example: Trend Lines)
Momentum indicators
Momentum is a general term used to describe the speed at which prices move over a given time period. Momentum indicators determine the strength or weakness of a trend as it progresses over time. Momentum is highest at the beginning of a trend and lowest at trend turning points. Any divergence of directions in price and momentum is a warning of weakness; if price extremes occur with weak momentum, it signals an end of movement in that direction. If momentum is trending strongly and prices are flat, it signals a potential change in price direction. (Example: Stochastic, MACD, RSI)
technical analysis
Technical analysis is a method of forecasting price movements by looking at purely market-generated data. Price data from a particular market is most commonly the type of information analyzed by a technician, though most will also keep a close watch on volume and open interest in futures contracts. The bottom line when utilizing any type of analytical method, technical or otherwise, is to stick to the basics, which are methodologies with a proven track record over a long period. After finding a trading system that works for you, the more esoteric fields of study can then be incorporated into your trading toolbox.
Almost every trader uses some form of technical analysis. Even the most reverent follower of market fundamentals is likely to glance at price charts before executing a trade. At their most basic level, these charts help traders determine ideal entry and exit points for a trade. They provide a visual representation of the historical price action of whatever is being studied. As such, traders can look at a chart and know if they are buying at a fair price (based on the price history of a particular market), selling at a cyclical top or perhaps throwing their capital into a choppy, sideways market. These are just a few market conditions that charts identify for a trader. Depending on their level of sophistication, charts can also help much more advanced studies of the markets.
On the surface, it might appear that technicians ignore the fundamentals of the market while surrounding themselves with charts and data tables. However, a technical trader will tell you that all of the fundamentals are already represented in the price. They are not so much concerned that a natural disaster or an awful inflation number caused a recent spike in prices as much as how that price action fits into a pattern or trend. And much more to the point, how that pattern can be used to predict future prices.
Technical analysis assumes that:
All market fundamentals are depicted in the actual market data. So the actual market fundamentals and various factors, such as the differing opinions, hopes, fears, and moods of market participants, need not be studied.
History repeats itself and therefore markets move in fairly predictable, or at least quantifiable, patterns. These patterns, generated by price movement, are called signals. The goal in technical analysis is to uncover the signals given off in a current market by examining past market signals.
Prices move in trends. Technicians typically do not believe that price fluctuations are random and unpredictable. Prices can move in one of three directions, up, down or sideways. Once a trend in any of these directions is established, it usually will continue for some period.
The building blocks of any technical analysis system include price charts, volume charts, and a host of other mathematical representations of market patterns and behaviors. Most often called studies, these mathematical manipulations of various types of market data are used to determine the strength and sustainability of a particular trend. So, rather than simply relying on price charts to forecast future market values, technicians will also use a variety of other technical tools before entering a trade.
As in all other aspects of trading, be very disciplined when using technical analysis. Too often, a trader will fail to sell or buy into a market even after it has reached a price that his or her technical studies identified as an entry or exit point. This is because it is hard to screen out the fundamental realities that led to the price movement in the first place.
As an example, let's assume you are long USD vs. euro and have established your stop/loss 30 pips away from your entry point. However, if some unforeseen factor is responsible for pushing the USD through your stop/loss level you might be inclined to hold this position just a bit longer in the hopes that it turns back into a winner. It is very hard to make the decision to cut your losses and even harder to resist the temptation to book profits too early on a winning trade. This is called leaving money on the table. A common mistake is to ride a loser too long in the hopes it comes back and to cut a winner way too early. If you use technical analysis to establish entry and exit levels, be very disciplined in following through on your original trading plan.
Almost every trader uses some form of technical analysis. Even the most reverent follower of market fundamentals is likely to glance at price charts before executing a trade. At their most basic level, these charts help traders determine ideal entry and exit points for a trade. They provide a visual representation of the historical price action of whatever is being studied. As such, traders can look at a chart and know if they are buying at a fair price (based on the price history of a particular market), selling at a cyclical top or perhaps throwing their capital into a choppy, sideways market. These are just a few market conditions that charts identify for a trader. Depending on their level of sophistication, charts can also help much more advanced studies of the markets.
On the surface, it might appear that technicians ignore the fundamentals of the market while surrounding themselves with charts and data tables. However, a technical trader will tell you that all of the fundamentals are already represented in the price. They are not so much concerned that a natural disaster or an awful inflation number caused a recent spike in prices as much as how that price action fits into a pattern or trend. And much more to the point, how that pattern can be used to predict future prices.
Technical analysis assumes that:
All market fundamentals are depicted in the actual market data. So the actual market fundamentals and various factors, such as the differing opinions, hopes, fears, and moods of market participants, need not be studied.
History repeats itself and therefore markets move in fairly predictable, or at least quantifiable, patterns. These patterns, generated by price movement, are called signals. The goal in technical analysis is to uncover the signals given off in a current market by examining past market signals.
Prices move in trends. Technicians typically do not believe that price fluctuations are random and unpredictable. Prices can move in one of three directions, up, down or sideways. Once a trend in any of these directions is established, it usually will continue for some period.
The building blocks of any technical analysis system include price charts, volume charts, and a host of other mathematical representations of market patterns and behaviors. Most often called studies, these mathematical manipulations of various types of market data are used to determine the strength and sustainability of a particular trend. So, rather than simply relying on price charts to forecast future market values, technicians will also use a variety of other technical tools before entering a trade.
As in all other aspects of trading, be very disciplined when using technical analysis. Too often, a trader will fail to sell or buy into a market even after it has reached a price that his or her technical studies identified as an entry or exit point. This is because it is hard to screen out the fundamental realities that led to the price movement in the first place.
As an example, let's assume you are long USD vs. euro and have established your stop/loss 30 pips away from your entry point. However, if some unforeseen factor is responsible for pushing the USD through your stop/loss level you might be inclined to hold this position just a bit longer in the hopes that it turns back into a winner. It is very hard to make the decision to cut your losses and even harder to resist the temptation to book profits too early on a winning trade. This is called leaving money on the table. A common mistake is to ride a loser too long in the hopes it comes back and to cut a winner way too early. If you use technical analysis to establish entry and exit levels, be very disciplined in following through on your original trading plan.
profit and loss
For ease of use, most online trading platforms automatically calculate the P&L of a traders' open positions. However, it is useful to understand how this calculation is derived.
To illustrate a typical FX trade, consider the following example.
The current bid/ask price for USD/CHF is 1.6322/1.6327, meaning you can buy $1 US for 1.6327 Swiss Francs or sell $1 US for 1.6322.
Suppose you decide that the US Dollar (USD) is undervalued against the Swiss Franc (CHF). To execute this strategy, you would buy Dollars (simultaneously selling Francs), and then wait for the exchange rate to rise.
So you make the trade: purchasing US$100,000 and selling 163,270 Francs. (Remember, at 1% margin, your initial margin deposit would be $1,000.)
As you expected, USD/CHF rises to 1.6435/40. You can now sell $1 US for 1.6435 Francs or buy $1 US for 1.6440 Francs.
Since you're long dollars (and are short francs), you must now sell dollars and buy back the francs to realize any profit.
You sell US$100,000 at the current USD/CHF rate of 1.6435, and receive 164,350 CHF. Since you originally sold (paid) 163,270 CHF, your profit is 1080 CHF.
To calculate your P&L in terms of US dollars, simply divide 1080 by the current USD/CHF rate of 1.6435.
Total profit = US $657.13
To illustrate a typical FX trade, consider the following example.
The current bid/ask price for USD/CHF is 1.6322/1.6327, meaning you can buy $1 US for 1.6327 Swiss Francs or sell $1 US for 1.6322.
Suppose you decide that the US Dollar (USD) is undervalued against the Swiss Franc (CHF). To execute this strategy, you would buy Dollars (simultaneously selling Francs), and then wait for the exchange rate to rise.
So you make the trade: purchasing US$100,000 and selling 163,270 Francs. (Remember, at 1% margin, your initial margin deposit would be $1,000.)
As you expected, USD/CHF rises to 1.6435/40. You can now sell $1 US for 1.6435 Francs or buy $1 US for 1.6440 Francs.
Since you're long dollars (and are short francs), you must now sell dollars and buy back the francs to realize any profit.
You sell US$100,000 at the current USD/CHF rate of 1.6435, and receive 164,350 CHF. Since you originally sold (paid) 163,270 CHF, your profit is 1080 CHF.
To calculate your P&L in terms of US dollars, simply divide 1080 by the current USD/CHF rate of 1.6435.
Total profit = US $657.13
understanding margin
Trading currencies on margin lets you increase your buying power. Here's a simplified example: If you have $2,000 cash in a margin account that allows 100:1 leverage, you could purchase up to $200,000 worth of currency-because you only have to post 1% of the purchase price as collateral. Another way of saying this is that you have $200,000 in buying power.
Benefits of Margin
With more buying power, you can increase your total return on investment with less cash outlay. To be sure, trading on margin magnifies your profits AND your losses.
Here's a hypothetical example that demonstrates the upside of trading on margin:
With a US$5,000 balance in your margin account, you decide that the US Dollar (USD) is undervalued against the Swiss Franc (CHF).
To execute this strategy, you must buy Dollars (simultaneously selling Francs), and then wait for the exchange rate to rise.
The current bid/ask price for USD/CHF is 1.6322/1.6327 (meaning you can buy $1 US for 1.6327 Swiss Francs or sell $1 US for 1.6322)
Your available leverage is 100:1 or 1%. You execute the trade, buying a one lot: buying 100,000 US dollars and selling 163,270 Swiss Francs.
At 100:1 leverage, your initial margin deposit for this trade is $1,000. Your account balance is now $4000.
As you expected, USD/CHF rises to 1.6435/40. You can now sell $1 US for 1.6435 Francs or buy $1 US for 1.6440 Francs. Since you're long dollars (and are short francs), you must now sell dollars and buy back the francs to realize any profit.
You close out the position, selling one lot (selling 100,000 US dollar and receiving 164,350 CHF) Since you originally sold (paid) 163,270 CHF, your profit is 1080 CHF.
To calculate your P&L in terms of US dollars, simply divide 1080 by the current USD/CHF rate of 1.6435. Your profit on this trade is $657.13
SummaryInitial Investment: $1000
Profit: $657.13
Return on investment: 65.7%
If you had executed this trade without using leverage, your return on investment would be less than 1%.
Managing a Margin Account
Trading on margin can be a profitable investment strategy, but it's important that you take the time to understand the risks.
You should make sure you fully understand how your margin account works. Be sure to read the margin agreement between you and your clearing firm. Talk to your account representative if you have any questions.
The positions in your account could be partially or totally liquidated should the available margin in your account fall below a predetermined threshold.
You may not receive a margin call before your positions are liquidated.
You should monitor your margin balance on a regular basis and utilize stop-loss orders on every open position to limit downside risk.
Benefits of Margin
With more buying power, you can increase your total return on investment with less cash outlay. To be sure, trading on margin magnifies your profits AND your losses.
Here's a hypothetical example that demonstrates the upside of trading on margin:
With a US$5,000 balance in your margin account, you decide that the US Dollar (USD) is undervalued against the Swiss Franc (CHF).
To execute this strategy, you must buy Dollars (simultaneously selling Francs), and then wait for the exchange rate to rise.
The current bid/ask price for USD/CHF is 1.6322/1.6327 (meaning you can buy $1 US for 1.6327 Swiss Francs or sell $1 US for 1.6322)
Your available leverage is 100:1 or 1%. You execute the trade, buying a one lot: buying 100,000 US dollars and selling 163,270 Swiss Francs.
At 100:1 leverage, your initial margin deposit for this trade is $1,000. Your account balance is now $4000.
As you expected, USD/CHF rises to 1.6435/40. You can now sell $1 US for 1.6435 Francs or buy $1 US for 1.6440 Francs. Since you're long dollars (and are short francs), you must now sell dollars and buy back the francs to realize any profit.
You close out the position, selling one lot (selling 100,000 US dollar and receiving 164,350 CHF) Since you originally sold (paid) 163,270 CHF, your profit is 1080 CHF.
To calculate your P&L in terms of US dollars, simply divide 1080 by the current USD/CHF rate of 1.6435. Your profit on this trade is $657.13
SummaryInitial Investment: $1000
Profit: $657.13
Return on investment: 65.7%
If you had executed this trade without using leverage, your return on investment would be less than 1%.
Managing a Margin Account
Trading on margin can be a profitable investment strategy, but it's important that you take the time to understand the risks.
You should make sure you fully understand how your margin account works. Be sure to read the margin agreement between you and your clearing firm. Talk to your account representative if you have any questions.
The positions in your account could be partially or totally liquidated should the available margin in your account fall below a predetermined threshold.
You may not receive a margin call before your positions are liquidated.
You should monitor your margin balance on a regular basis and utilize stop-loss orders on every open position to limit downside risk.