Archive for May, 2010

The Learning Curve

After years of dabbling with the usual assortment of penny dreadful miners from Australia, occasionally scoring a win and often a loss I decided late last year to make a serious attempt at trading for a living. It has been an expensive hobby ever since the tech wreck, but being a maths grad the never ending stochastic sequence they call the market has almost limitless appeal. Anyway just looked at the calendar and realized that three months in and I still haven’t made any more than a couple of trades – and they were all of the small dabble your toe in the water kind.

It is interesting and possibly instructive to think back over the process to date to understand just how hard this actually is. Perhaps my marathon will help someone else cut some corners.

Which Market?

I initially decided to trade SPI200 (Australian 200 Cash Index). Why: – dollars per point risk and reward appeals. Leverage is huge at 100 to 1 which means you don’t need to tie up any more capital than you are prepared to risk per trade. Having a 24 hour market means no nasty overnight gaps when Wall Street sneezes. And finally at a 1 point spread, costs are low.

Problem: I am not nocturnal.

After weeks of following my penny dreadful habits of getting up early, getting my head across the US market, looking at the commodities news etc for a couple of hours and then settling in for market open at 10:00 am, it became apparent that the bloody Australian Index doesn’t do a damn thing during Australian trading hours. It simply trades sideways – occasionally kicked along after lunch if the Hang Seng is having a good day.  But generally all the action is after midnight my time when the US trades. A couple of weeks wasted here working this little home truth out.

China Maybe?

OK lets try the Hang Seng and bypass the middle man.  Starts at lunch time by my clock and trades fairly smoothly.  Mmmm better but the spread is much bigger and then the Chinese government chose that particular time to piss on the parade. This pretty well took the exuberance out of the party and the Hang Seng resorted to making its moves US time. Once again we are back with a flat market when I am awake. Another couple of weeks wasted.

Lets trade index futures nights then.  Sounds good, but apart from the insurmountable problem of rotating my body clock to wake up at 10:00 pm, the spread goes up making each trade much more expensive.

How about increasing the stop loss distance and reducing by dollars per point at risk. Same at risk amount, but lower probability of being hit.  That would allow a buffer for overnight adverse swings.  Problem – my risk is lower, but now so is my reward based on the normal trading range.  Putting these two together and we lose anther couple of weeks.

How About Currencies?

Aha!  How about currencies and not Indexes. At least the spread costs are more consistent over a 24 hour period.  And lo and behold! they have most of their trading activity UK hours rather than US hours.  At least this means there are a couple of trading hours when the sun is more or less above the horizon.

Cool. That’s settled, we will trade Forex and to keep it simple make it the EURUSD pair. High liquidity, not too volatile and responds well to London open.

Blow fly in a bottle.

Problem: Have you ever seen a forex chart? I have been charting for years and thought I knew a Stochastic from a Standard Deviation. But these damned things are all over the place. The more indicators I have on the screen the worse it gets – arrrrgh!. Less is definitely more when it comes to these monster markets.

The realization hits that forex traders are all trading off different time scales.  Now with good old daily charts everyone is getting more or less the same signal at the same time.  Not so Forex.  Not only are people’s days starting at different times, but they are all using different periods. 1 hour, 15 minutes, 5 minutes, single ticks. This means that when one person is getting a buy, someone else is seeing a sell. I have absolutely no hope at all of predicting a buy or sell.  It is just absolute chaos.

Solution: Definitely use London Time for forex and get your brain around the fact that the London stock market starts at 8:00 am their time. So they are at their desks before that. Find indicators that are independent of time scale.  In other words use Pivot Points. Throw a set of pivot points up on the screen and all of a sudden that mad blow fly in a bottle motion settles down to a more or less orderly bounce between predictable resistance and support levels. A couple of more weeks wasted working this out, but finally I can now look over the days data and see a buy or sell occurring where you would expect them to.

Chaos almost cracks.

Armed with this, methinks I have it cracked.  Wait for the  EURUSD to pull back to a support level and enter.  So we wait, and wait and wait, nature calls, we get back and have missed it. Day after day the same thing.  I either miss the signal or to make things worse, it bounces off what appears to be a hidden resistance level.  Later I later work that out to be the 200, or 288 tick moving average.  It varies methinks. Computers or at least their programmers would think about the average price over the last 24 hours – hence 288 on a 15 minute charts, but humans use a 200 no matter what chart because that is what they have been taught.

After a couple of weeks of this the realization sinks in that a one or two trading signal per day strategy simply will not work. A fifteen minute time scale also doesn’t help.  It is amazing how much a currency can move in fifteen minutes. More time wasted.

Mmmm what does tick by tick data look like? Oh shit! there is a an awful lot of it, that locked up the lap top. After a restart we discover that a 5 tick per candle time scale works and doesn’t blow up my hardware.  My stop loss distance is relatively large with respect to the per tick motion. It moves fast enough to maintain my focus, but slow enough to react. Feeling good here.

What Signal?

Problem. What to use for an entry signal? A stochastic, MACD or RSI on 5 tick data is just impossible to read. The Pivots are still good, but most of the time it isn’t on them and there are a lot of opportunities between support levels.

Solution:  Good old resistance and support levels with a bit of help from a slow stochastic. I mean really slow.  You know the normal 14, 5, 3 stochastic?  Well mine is sitting on 200,100,50.  My MACD is 400,200 and 50 instead of the usual 26,12,3.   But hey it works.  The really slow stochastic – remember I am on a 5 tick per bar  time scale which is really fast – provides a good picture of the underlying trend.  That means I can finally read this.  Add in a 400 bar moving average along with the pivot points and at last after months I can finally call entry and exits as they scroll across the screen more or less consistently. A few false signals and a couple of wiggles beyond my stop loss, but that is par for the course. Lots more entry opportunities a day

The current problem.

Well at least its not a problem making sense of the market.  The main problem is the original one.  The optimal time to trade is the London session. For the same risk, the market moves a LOT more. Reward to Risk is about 3 to 1  during the Asian session and can be about 10 to 1 at London open.  The key issue is being alert late in the afternoon. Not as easy as it sounds. And worse if you have been at the screen all day.

The second problem is choice of markets. Focusing on the EURUSD sliding sideways while the AUDUSD pair is flying  is not good trading.

Not so easy.

The lesson here is that if you think you are going to get rich quick, have a rethink. If you can find a mentor to cut corners you may get a leg up. But my gut feel is that it will take months of hard and consistent work with little or no money coming in while you get yourself around the learning curve to the point that you are trading and not  gambling.  And that assumes you have a good understanding of charts, you understand margin, risk management and have good money management skills before you start.

You could be throwing money at the market while your “L” plates are on, but remember that this game has a 90% failure rate. Most of which I would think happens during the first few months.

You have to be in it to win it, but that doesn’t mean you have to act like you are at a casino.  This game is a business and like any business it takes a lot of personal investment.

May 20 2010 | Trading | No Comments »

Commitments Of Traders Charts

Rather than trying to delve my way through the myriad of files on the US Commodity Futures Trading Commission website every week to try to pick up a picture from the weekly Commitment of Traders reports I figured I may as well put together a simple database and data display page.

COT Report Generator.

It provides a one year view of the Open Interest and Non Commercial Long and Short futures positions across the major currencies, commodities and US stock indices.  I have left commercial positions out of the graph as these usually are hedges against unexpected market reversals – and hence are long when the market is short and vice versa.  Open interest does include the Commercial data.  It does not include everything the CFTC tracks – which is about everything from feeder cattle and corn to currencies, energy and indices.

In theory it will update once a week early Saturday morning. We will see whether that works as intended.

Fairly easy to use, select a contract from the list and hit the button :-)

May 18 2010 | Trading | No Comments »

Best Forex News Summary

At the risk of sounding like a ten year old, “the absolute bestest” news summary for forex news I have found  is the market updates page from Forex.com.  As each session rolls over it it gives a good concise recap of what is just happened. Just what the doctor ordered to start the day.

May 06 2010 | Trading | No Comments »

Forex Trading Moving Averages: The secret is out.

Had another day of watching the EURUSD wiggle around the 200 tick MA on a five minute chart and managed to convince myself that it would probably move up to the central pivot before moving down. Of course it did nothing of the kind – it simply dropped a solid 170 pips over the next few hours leaving me pissed off on the sidelines…. (late note: and then continued on to make it a whole 250 pip move – damn!)

After sulk session of growling at the screen and berating myself while trying to figure out my screw up, I have finally convinced myself that I have discovered what appears to be “the” rule on moving averages for 24 hours markets. In fact I have touched on it in an earlier post, but today nailed it.

The rule in words is to find the average price over the last 24 hours. As simple as that. If today is better than yesterday it will be above it and if worse below.

The important thing is that on the EURUSD  this line swamps the central pivot point. Well at least it has over recent weeks. If your central pivot is above it, the market is bearish, forget any possible thought of it retracing through the days average unless the trend is changing. This thing is like a brick wall.

The trick is your time scale. On a 5 minute chart it is a 288 period simple moving average. On a 15 minute chart it is a 96 point moving average. NOT 200 and 90 period moving averages – they are close, but no Kewpie doll.

Work out how many of your ticks there are in your favorite time scale over a 24 hour period and set the moving average to that. As an example there are 12 individual 5 minute ticks an hour so a day will have 12 x 24 = 288 of them. At 15 minute ticks, there are 4 sets of 15 minute ticks an hour, so a day will have 24 x 4 = 96 of them.

You probably use 20/90/200 MA’s don’t you? Well rethink it and get anything off your screen that is not rock solid. It will just confuse you. Just remember that even random lines will show some apparent evidence of support and resistance at times.

(Late edit: put your 200 back – perhaps as a thin line, now I have taken it off, I am finding that sometimes it holds. The hypothesis is that when automatic programming that uses the last 24 hours average price dominates then the 288 on five minute dominates, but when humans are the main players, the 200 dominates.)

Easy huh. Just weird numbers is all.

P.S.

The reason 20 day, 90 day and 200 day MA’s work on daily charts is because the correspond to a month a quarter and a years trading days. And yes 200 ticks work on weekly and monthly – but that is because people use them rather than people asking the “Is today better than the average over the last month/quarter/year etc” question.

EURUSD May 5th 2010, 5 minute interval with the 288 tick MA in blue.

May 05 2010 | Trading | No Comments »

Goldman Opinion

It took a bit but I think I have made my mind up about the Goldman Sachs fraud allegation. Essentially they were simply doing business and the fault actually lies with the people they were doing business with.

As a company they had a responsibility to reduce their risk exposure. They looked at the market, worked out the risk reward ratio of the CDO’s and determined that they would be better off without them than with them. Fair enough.

The counter parties who bought the CDO’s thought they were getting easy money and that Goldman were the losers who sold a good revenue stream.

The problem was these banks who bought the CDO’s didn’t do the most basic of research. The boom in the real estate market was bought about by the Baby Boomers and their offspring being in the market at the same time. When the after boomers had bought their first home the pressure came off and you ended up in a situation where the assumption that real estate would go up forever was no longer true and the sub prime mortgages were no longer covered by a gain in the value of the underlying asset that would have occurred should that demand have persisted.

In other words the buyers of the CDO’s needed to do some basic research about who was in the real estate market, what they were doing and how long would the market last. It would have been fairly simple to bring up a population by age curve and ask a couple of questions about what people in such and such and age group are likely to be doing. In other words marketing 101.

The really scary thing given the millions of dollars these Bank CEO’s learn is that they knew about the demographic distribution. They were in fact targeting the Baby Boomers with reverse mortgages. All the “Unlock The Equity In Your Home” products that abounded. At the same time they were targeting the surge of “First Homer Buyers”. They weren’t making a lot of effort to targeting the mid mortgage people.

The way it works is that any organization has a finite marketing and product development budget. Companies target products and marketing campaigns towards where they can get the most bang for the buck. They targeted these two markets – the “soon to be retired” and the “just married looking for a home to start a family” groups because that is where the population was.

So if we make the assumption that the CEO’s knew that the demographics of the market was not flat across all age groups, then we have a situation where they knew that demand was driven by a surge that would die away once all the first home buyers had filled their immediate demand.

Why then did these multimillion dollar CEO’s make the assumption that demand would grow at a constant rate for ever? Can’t they read a basic graph? Couldn’t they look at their own children to see what they were doing? I definitely remember all the “Home improvement shows” and talk about the difficulty of searching for a home that in time was followed by lots of pregnant bellies around the office, that in turn was followed by lots of prams and doe eyed mothers proudly coming back to work to display their latest creation.

These new mothers were not buying new houses – they had just bought one and were now out of the market. Even if they did have a desire to move to a larger property it requires selling the one they are in. No net gain in demand.

The question is why were Goldman able to work out that the risk in the mortgages was too high and why were the other bankers unable to? Did Goldman simply do better research?

The question of why anybody other than what you would normally call “sophisticated investors” were buying these things is another thing altogether.

May 03 2010 | Market Comment | No Comments »