The Probabilities Radar

Each time you add a layer of complexity to you trading rules you dilute the power of your core objective playing out.

To win big you need to learn how to lose

Charlie Aitken (Aim Funds): ‘the difference between my life as a stockbroker and my new life as a fund manager is that now I limit my losses to 10%. As a stockbroker I (we) are not great at issuing sells. Now when a stock is at a loss I cut it and move on. We […]

Successful trading is about probabilities and risk management

Trades don’t all kick off like Mantra (MTR) which came up as a model stock pick on the 2/10/17 (Entry $3.19) just before the bid which quickly jumped the price to $3.80 (10/10/17) and our new subscribers were happy enough to have begun their Stockradar membership that way. The reality is that trading is about […]

The Kelly Criterion – Effective risk management technique

$25 kitty. You bet on the flip of a coin for 30 minutes. Coin is biased with a 60% probability of coming up heads You can bet as much as you like on each flip You will be given a cheque for however much is left in your account at the end of your 30 […]

The Trend Intensity Rating Indicator

Market sentiment plays a critical role in assessing share price movements. Stockradar delivers a consistent measurement of market sentiment using its unique tool, the Trend Intensity Indicator. The Trend Intensity Indicator combines and weighs four simple tools: trend, volume, moving averages and price momentum. This generates an invaluable benchmark that highlights only those stocks with compelling […]

Building a weight of evidence

Building a weight of evidence is always the aim when making a case either way for a price move by a stock.

Sometimes the evidence is strong and generates a clear signal whilst at other times when it’s not as clear then a neutral stance is the safest route. It’s that simple but ‘seeing’ the evidence clearly and for what it is without tainting with your own biases is difficult at times. That’s why we build rules to control our biases and influence over what the price action might bring. Detaching yourself is a real discipline. These rules are built, developed and fine-tuned over time, that allows you to develop good rule-based arguments that control your trading (and yourself) and that will generate consistent results. These rules will have an objective that you have set out to achieve. Then from a quant perspective it is a matter of overlaying the rule based template on stock price behaviour and repeatedly and automatically responding to the signals generated. That ‘consistent’ process equals ‘consistent’ outcomes. Market conditions will dictate, to some degree performance and your rule-based trade plan also needs to be able cater for that whether its generating profits or simply maintaining a cash (safe) position that is not losing your money. Sometimes that is the best place to be.

My starting point of analysis is to identify major price points of resistance and support that the price moves through and then look to the specific price action to generate one of my three price setups. Above you can see NVT has a strong combination of support followed by trend reversing price action that puts high odds that NVT may move to the next resistance level ($5.50-6.00). Support comes from a ground swell of arguments that include rising volume levels as the price tests support and then follows the trend reversal price action higher adding a healthy degree of validation. The price is now above the moving average, which heightens probabilities that the price can rise further. The final argument to be put in place is; does the stock have momentum (crowd behaviour). Well that’s not happened yet as the reversal of price from down to up may only just be beginning. When the MACD does rise above zero it adds a positive price acceleration factor to the mix. Having double bottomed off support and triggered a trend reversal with strong Trend Intensity (Stockradar’s unique trend filter) support it puts NVT in a position of confirmed trend status. This means the the price is more likely to rise than fall.


The proof is in the ‘outcome’

Stock selection, trade and portfolio management are numbers games. Try not to think about stock picking, broker advice, fundamental analysis, all of which may have a place in people minds but that’s not what we do so lets for a moment just be singularly focused on one defined strategy that achieves an objective. The numbers give a somewhat predictable outcome if we are true to the repetitive processes we set out. Many of us find it hard to make the jump and blindly follow a ‘single focus’ process when we are distracted by other things such as media noise. We need to close that door to focus clearly, especially as it not a part of our decision making process. The current market is a classic example of the worry that can distract our focus and with that goes a weak market index to exacerbate concerns. But that doesn’t have to roll into our methodology. In fact it is exactly why we have such a methodology to remove the dark cloud effect it can over our trading. We should be able to trade with confidence and enjoy it. If our method is effective then why should we worry? If opportunities are there  we must take them and not let fear control or override us.

Our strategy is a very ‘safe’ two-step process: Firstly, 3 Setups are used to enter a trade (trend and key low reversal, and new highs), and once in the trade it becomes purely a function of our money management technique. This means always keeping losses small and running trend moves hard like QAN and ALL below. Both these stocks required two trades to capitalise on this run and that’s a part of the Stockradar strategy – protect and re-enter if necessary. The stop was implemented to protect against further falls but both stocks are good examples of how Stockradar works and is always able to capitalise on big trend moves such as we have seen in these stocks like QAN or ALL.

The key to making the numbers approach work is managing your risk. If your risk is managed properly you have no reason to worry. It is that simple. The underpinning premise of our risk management policy is you don’t take big losses. Here it is important to remain in control. This control is twofold. Firstly it means controlling your emotions by not letting them play a part in the decision-making process and secondly, to make sure you have the control and discipline to follow the procedures set out correctly. Quality in quality out! This quality is the method or trade plan that is devised to capitalise on a market edge but every action is bound by controlling of risk.

Expectations of what can be achieved must be controlled. Falling stocks dominated the 2007/08 and 2010/11 periods so realistically when we look at the home page chart of Stockradar returns on the conservative portfolio you should be elated because you didn’t lose any money. That is a great outcome during the period for sometimes the market simply will not deliver what you want making returns hard to come by but we also need to recognise that. That’s when the smart thing to do is nothing and it is unlikely that Stockradar will receive many entry signals during those periods. This is a part of the ‘trade plan’ controlling risk, which was especially heightened during those periods. That’s hard and so we won’t promise what we can’t deliver as we can’t make Mr.Market do what it doesn’t want to. Patience and adherence to the procedures must override your forebodings.

The proof is in the outcome. Because of the ‘baggage’ we can carry we sometimes have problems seeing the ‘truth’ when it is right in front of our eyes. The results shown on the Stockradar home page clearly show a steady trend up in equity. It is a long-term profile that has built by the numbers over 14 years. This approach endured the bull of 2003/06 the bear of 2007/08 and the bull of 2012/15. This is generated from a very simplified stock group of 20 diverse leading stocks that have all existed for 14 years. It looks very positive but you still would have undergone a 2-year period of no gains during 2007/08. That may sound hard and if you lived through that period it may have been frustrating, but it is reality for us.

As a point of interest and just to prove how wrong our ‘thinking’ can be roll your minds back to 2013 when Qantas was thought of as a market pariah. Look at me now! One year earlier Aristocrat was a real stinker with little prospects. Look at me now! The numbers proved us all wrong then and will continue to do so as they still generate great returns based on our strategy. Despite the changes that occur within the stock markets the underlying rotating effects of cycles and sentiment don’t. So today is no different to 10, 20, 50 or 100 years ago. We should move ahead confidently with what we know, not what we think.

The proof ultimately is in the outcome.


Are you sleeping at night?

Investors are tetchy and they’re worried. Stock markets in the US are at an all-time high, and the ASX/200 is touching two-year highs at 6000. We worry about three things. How high can the market go, when and by how much is it going to fall and what should we be doing? We asked the same questions early in 2015 as the market touched a high at 6000, and again in early 2016 as the market hit a low of 4800. The third part of that question, what should we be doing now, does not change. Many of us are loaded up with equities to different degrees and at Stockradar across most portfolios you will be about 60 invested and have a cash cushion of 40%, depending on your degree of aggressiveness. We must be able to navigate the ups and downs of the stock market with confidence and be in the optimum position no matter what the market delivers.

How can we set a portfolio and manage it so we can sleep at night and not worry?

We need understand that the process of building equity is a somewhat tedious, long-term one – a process that is not a case of repeated short-term adrenaline hits and wild profits year-on-year. Keep a little cash aside for the speculative punts should you so wish, however there are three important elements to a successful ‘equity building’ tradeplan

Firstly the right expectations of how you are going to achieve the objective of a steady increase in equity are absolutely necessary. It will help keep your mind at ease and you’ll rarely be disappointed. Realistic expectations are the first step. Some years you will do better than others depending what the market delivers and history teaches us that there are always some very good years.

The second priority is to make sure you are winning as much as you can when a stock goes up and that your capital is protected when the stock goes down. That means strict money management that entails the necessity of cutting losses and running profits and in turns this also means buying or selling when you don’t necessarily want to. That’s the tricky, but very necessary bit.

The third part of the equation is belief. You must have belief in your trade plan. If that trade plan has years of history to prove itself then that’s an added benefit and confidence will become the norm but that has to develop over time. The key to taking the right approach to developing a trade plan is to understand that success comes from not ‘picking stocks’ but about managing your money. That seems sensible. If you are managing your money correctly you should never have to worry because you’re making yourself safe and that’s a choice we can make, or not.

But we do worry, it’s a natural human instinct that has always driven the ups and down of the stock market. Sure we’ll lose a few but a good trade plan not only loses but it must win more that it loses. So losses are simple a fact of being involved. Managing your money properly on the stock market means exactly as I have expressed it above, make money when a stock is going up and protect it when it is going down and this is entirely isolated from knowing what the market or individual stocks are going to do because we don’t. Good stock market investors succeed because they have a plan that lets them sleep at night because they know no matter what, they are going to make money over time with a plan that has all the necessary elements that drive long term profits. That’s what I am here for, to help you understand what’s required and to understand how to build that equity. For many of you your degree of comfort in retirement depends on it.

Interestingly most of the calls I get focus on losses and why they occur and of course I can’t always answer that but it does tell you something about the worry ‘psych’ of investors in general. It is what it is and all good trade plans suffer them. There should be more celebrations of wins. Let’s take the recent example of QAN for instance. A dog stock for so long that took off in 2014 and is now nearly 500% higher. That’s cause for celebration. There are some members who do call me when a big win occurs and they are the people that get it because those wins are so important and in Stockradar speak vastly outweigh the losers and that’s why the equity on the conservative balanced portfolio just keeps growing steadily. It holds QAN. In this case it had nothing to do with ‘cleverness’ it was just about taking the trade plan signals as they come up and managing the trade from a money management perspective.

Active vs Passive – What is the skew?

My recent coverage on portfolios (Stockradar Blog and the Radar Newsletter) has been an exercise in highlighting what’s on offer, the pros and cons of various approaches and perhaps what’s not on offer but should be. I have addressed many issues regarding performance against benchmarks, portfolio concentration with regard to spread of stocks, equal versus market cap weighting and the active versus passive debate. The absolute argument seems to have been left out of this debate for some reason but I’ll get to that later as today I want to discuss skewness. Trying to set an objective to cater for all the various nuances of managing a portfolio of stocks is impossible just like trying to target too many objectives for a portfolio such as out-performance or index performance, compound growth, absolute growth or trading returns and capital safety. So the two things to think about are, what are we trying to achieve, and how are we going to get there.

Skewness is another variant we need to consider and it relates directly to where portfolio returns occur and why it is hard for active managers to beat an index. Portfolio returns are lifted by a group of outperforming stocks but are also dragged down by under-performing stocks. (No manager should be neutral on Facebook, Amazon, Netflix, Alphabet or Apple.) This would seem common sense but I wonder if investors think about this when setting portfolio trading rules. Index coverage gives market performance (minus costs), but as active managers what we want to do is bias the portfolio towards the ‘big return’ stocks and shy away from the under-performing stocks. The trick is how do you do that.

stock.                             entry date/price.        div.      exit date /price.     p/l.     p/l%.

I have reproduced Stockradar’s closed out positions for 2017 above as at the end of last week. The average return is 15.69%. You’ll note three things about this figure. One is it outperforms the ASX/200 Accumulation index which so far has returned 4.6% and secondly if you took three stocks (MIN +112%, S32 + 168% and FMG +104%) out of the equation the results would be reduced significantly towards market performance and thirdly this results profile is a normal one for Stockradar. On the other hand if you look at three poor performers from the universe of stocks Stockradar covers (but were not in our portfolios) such as AAD, TPM and MTR, they could have been a big drag on performance. As indexing covers both ‘skews’ Stockradar biases towards the big trending stocks. Obviously AAD, TPM and MTR were not trending and that’s our qualifying criteria so were out of the Stockradar portfolio. There are also other examples of stocks we didn’t hold because of that focus. For example BXB -38%, FBU -26% or TLS -20%. These three stocks were certainly a drag on any portfolio. Stockradar holds none of these but I’ll bet the big funds did especially TLS and BXB. That keeps us on the right side of the ledger and puts a drag on their returns. The big issue of minimum equity mandates restricts the fund managers enormously. You and I have the luxury of going to high levels of cash. Skewness is an obvious outcome for any group of stocks. As long as we don’t hold the bad and capture some big trends, which we must because of how our strategy works, we will always perform well against the market. In the pipeline is something I am working on and that is a new 100/30 portfolio that will leverage the focus described here. Members should watch this space for more announcements as to the release date of this new platform.

Stockradar addresses both issues as best as we can. Perfection is not an objective but absolute growth is. I so often see big out-performer(s) every year and note the disasters and my mind was always on that fact as I developed Stockradar’s trade plan. The disasters are diluted by using strict risk management rules and simply cutting them out of the equation. My maximum risk is always set and can be reduced or magnified by slippage, a fact of life, however it seems a good way of dealing with them. On the other side of the ledger we have the explosive movers. How best to capitalise on them? This is done by using breakout and trend analysis and being aware that trends are a constant occurrence and rarely correct more than ‘x’ amount. Thus using a trailing stop “x” distance from the price can be a good way of maximising those trends just as we did with MIN, S32 and FMG. So this helps us use the natural skewness of the market to our advantage that others cannot. But remember you have to stick with the process to make it work.

This discussion on portfolio’s and active and passive management has more to it and this will be explored further in future articles. It is an important debate for you to fully understand. Having said that a certain type of active management can offer a better alternative and we, you and I, as retail investors are in a better position to do this than the fund manager. If nothing else we can protect ourselves against a market on the slide. But active management has to have the right objective, which is not necessarily out-performance. Remember a market that goes down 20% and a portfolio that goes down 19% is still out-performance so that is why the current outperformance objective is unnecessarily obsessed over and is unsuitable for your needs. What we want is absolute growth in a portfolio of stocks year on year regardless of market performance. Index huggers are happy now but it only takes a few weeks of untoward market behaviour to unwind the profits and make no mistake it will end painfully as it must if you are realistic. This is something that investors don’t always realise when they are winning. See link under ‘for the grey matter’ – passive investing will end in pain.

Here is ‘real world’ example of skewness for you to ponder. In 2015, Facebook, Amazon, Netflix and Google, colloquially known as FANG, were responsible for all of the returns of the S&P 500. If you didn’t own or were just underweight any of those four stocks, your results probably weren’t so great. In 2016, the average S&P 500 stock returned 1.5 percentage points above the median, according to the article. And so far in 2017, the average S&P 500 stock is up 4.56%, while the median is up 4.35%.