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Trading System | Portfolio Yoga

Momentum Investing – An Experiment with Real Money

 “We’re too soon old and too late smart.”

For nearly a month now, I have been wondering if it made sense to make a post of the trails and tribulations of my one year journey with momentum investing. The idea here is not to sell you a product or a service but to provide you with an insight that is missing out there when it comes to Momentum.

I have been part of markets for more than two decades now and there isn’t a stone or a strategy I haven’t tried and mostly failed in an endeavor to find “The One” J. From Value Investing to Intra Day, from Forex to Coat Tailing, from futures and options to exotic options, there are very few things that I haven’t tried out.

The key to success as I understand comes down to your belief and knowledge of the strategy you implement. Borrowed conviction or strategies may give you a high once in a while but more often than not, will eventually knock you down.

Thanks to Mohnish Parabai, Coat Tailing has emerged has a very interesting strategy that can be applied in the markets. But unless you actually buy in the same proportion as the person you are coat tailing, your returns will be very diverse from the one whom you are attempting to replicate.

I believe in experimenting in markets – yes, it can turn out to be expensive but it also provides you with immense know-how and understanding of what works and what doesn’t.

The foundation of progress has come through Risk bearing Experiments. Not all experiments end up successfully with many would be inventor getting killed in the process but for those who did survive, rewards were many fold the effort.

Risks in finance on the other hand are much more subtle and unless one takes risk that is multitudes of what he can afford, very rarely does one end up being killed. Yet, investors love being part of the herd than try to plot their own path.

The greatest appeal with following the herd is that if it fails, one knows that one is not to blame for everyone fell in the same ditch. In the mutual fund space, it’s not very different with most fund managers sticking to the known devil than the unknown angel.

Blind bets aren’t experiments, they are death wishes and most likely destroys not just investors’ money but also confidence. Confidence once destroyed is tough to regain. The worst thing though is that we take all the wrong lessons from a debacle that was at best just an error in strategy.

In 2017, I started my Journey on yet another strategy – a strategy I was intimately familiar with and yet one that I had ignored for too long – Momentum Investing.

I have been a fan of Trend Following / Momentum for a very long time. I have talked on the subject to anyone who gave a willing ear, have written a lot about it and delivered a few talks as well. Yet, it took a catalyst in the form of joining Capitalmind to finally be able to put it into action.

Unlike other forms of Investing, Momentum Investing can be tested rigorously using historical data. There is no narrative fallacy out here though it’s easy to get trapped into one of the many other fallacies that trap quantitative based investors.

Momentum also better known as Trend following is generally seen as Speculative in nature for stock is picked with no reference or understanding of fundamentals. But fundamentals of a company are just one part of the equation – the bigger part is played by human behavior which gets  exhibited day in and day out and one responsible for the wild swings in stock prices.

Efficient Market Hypothesis was for long the most important pillar of how markets valued stocks and why it was tough to generate, adjusted for Risks, out-sized returns. While the booms and busts have meant that markets may not be really efficient, to me, they just showcase that markets are efficient in the long term but swing around in the short to medium term.

It’s these swings, Momentum Investors wish to capture. While it’s nice to think ourselves as owners of businesses just because we hold 1 share out of a Million issued by the company, the fact remains that you are just a passenger in the bus with the direction and decisions taken by a few men, the bus owners, with little regard to what you may think about those decisions. The only action you can possibly do is get off the bus – but like the proverbial picture that has been seen by millions, what if you are giving it up just before you would have hit pay dirt?

As a momentum investor, our focus is more on the behavior aspect of the markets. We would rather be part of businesses where there is action, in terms of price, than one where we need to wait a long time before the action starts – or in many a case, wherein action never starts and we quit in disgust.

On any day, on an average, around 2000 companies trade on the twin exchanges in India. As an investor, you need to build a portfolio that consists of less than 1% of the said companies.

Of course, not all are great companies run by great managements that can generate strong risk adjusted returns for the Investor. Even if we were to assume that just 20% of the companies are companies that will generate returns for the Investor, using the Pareto Principle, we are still left with 400 companies to choose 20 to 30 stocks that shall form the core of our portfolio.

Take any factor and the thesis they offer is simple – How to come up with a small list of companies to invest into. You can base it on the philosophy you follow – call yourself a Value Investor, a Growth Investor, a Quality Investor or a Momentum Investor, your aim is to prune down the list to the best 20 – 30 companies.

It’s tough to do that would be a massive understatement. Assuming a portfolio of 30 stocks, for every company you choose, you are in affect ignoring the potential in 29 companies and some of those you ignore will generally come to bite you back by showcasing returns way better than the one you have chosen.

In other words, you need to reject 98 to 99% of companies whose shares are available for trading and invest in the 1% you feel are the best ones around.

But the Nightmare doesn’t end with the Selection of Stocks. In fact, it has only just begun for what would be a real roller coaster of a ride if only you are able to sit through the same.

Once you have selected a stock, the next big question comes in terms of “How much to Invest”. Invest too much and you could be burned brutally for the trouble, Invest too little and even the best of picks will not move the needle by much.

Investing is nothing like, Fill it, Shut it, Forget it. To maintain a balance, you need to keep filling it up as you move along your life trajectory while at the same time being able to shut yourself to the volatility that shall always be part and parcel of your investment.

Strategy and Tactics:

The thought process behind the selection of stocks was simple. Identity stocks which gained in price without volatility or rather, had very low volatility in relative comparison. In other words, the stocks picked-up had the highest Sharpe Ratio.

Strategies in Momentum needn’t be complex requiring use of Calculus or any other the other mundane mathematics most of us felt relieved when it ended post School. While this strategy does require some calculation, it’s not really complex given the resources that are available on the Internet.

The strategy was initially tested by my good friend and colleague Venkatesh and was further refined over time with the help of my Mentor Sameer. While markets are yet to encounter the kind of volatility we saw in 2008, I believe that the knowledge of how the strategy works and where it can fail alone can help an investor (in this case me) be better prepared and act on the plan without having to deviate.

The strategy was run on NSE Stocks (most good liquid stocks are on NSE and the few that are part of BSE alone, I am happy to miss out) with every month seeing a few stocks getting replaced. Other than once or twice, more due to accident than a plan, the strategy was always fully invested into the market at all times.

I started this strategy in May of 2017 and since then regularly added more money every month at the time of rebalance.  For someone who isn’t a great believer in blind systematic investing, this was indeed a interesting excercise.

The strategy is Equity only – there is no cash component embedded. The Equity Debt Allocation mix was dictated by the Portfolio Yoga Asset Allocator (though I am guilty of not entirely sticking with the recommended dosage).

The churn has been incredible – over the last 12 months, I have had positions in 105 stocks though at no point was the portfolio greater than 30 stocks. This excludes the fact that some stocks made an entry and exit more than once.

To provide a granular view of the returns, here is the data plotted as in Mutual Fund. NAV started at 10 and is currently at 16.92. Nifty Small Cap 100 Index was taken as benchmark given the high correlation this portfolio saw with the Index.

While the strategy has done wonders, one needs to be aware of the fact that “One swallow doesn’t make a summer” and it would need much more data and time to make a comprehensive case that investing in Momentum with all its pains – paying short term taxes / excessive transaction costs can still provide for returns better than what you can by buying and sitting on an Index.

Momentum Investing returns aren’t out of the world. Academic evidence shows that its returns are comparable to one you can get by following the Value Investing methodology.

Returns though come with a big “IF”. If only you actually understand can you really devote the kind of money and time to make that difference can you reap the rewards as well.

This brings an interesting question: If the strategy was sold as a Service, would investors have reaped similar returns?

Momentum or Value or Growth or any of the major styles of investing is all about being different. This doesn’t come easy for it runs contrary to our beliefs and knowledge. This kind of thinking is not tough to develop but takes time and effort.

Mutual Funds are a Fund it and Forget it type of investment and yet even there, Investors generate much lower returns as a whole that what the fund itself has generated. In Do-It-Yourself kind of investing, the resulting returns can be even worse since with execution resting on your emotions, there is no giving as to whether you would stick in the good times, forget the bad.

Risks:

While there is no fundamental filter that is applied, I have using other measures in an attempt to limit entry of stocks that are of suspicious nature. But that doesn’t meant that we can get rid of all the bad stocks as experience told me.

One of the stocks the strategy invested was Vakrangee and when the sword fell, the portfolio was a sitting duck and lost 50% on the stock before it could get an exit. The only saving grace, the Investment had doubled by the time of the peak and hence even at time of exit, the damage itself was minimal.

Since the portfolio consists of a diversified set of 30 stocks, a couple of Vakrangee while causing heart burn cannot seriously damage the returns for their total allocation would be on the lower side.

Drawdown:

Any and every strategy will have its draw-down and my belief is that this will be close to the Index it benchmarks against or a bit more.

Why others don’t do it

The fact that a factor such as Momentum Exists and can be profitable over the long run isn’t new. The first comprehensive research was put out by Jegadeesh and Titman in the year 1993 (Returns to Buying Winners and Selling Losers:Implications for Stock Market Efficiency). Unfortunately for strategies to get a following you need more than academic evidence – you need practical evidence.

Value Investing may not have got the kind of following it has if not for the performance of many a manager who follows the methodology and has cleaned out his competitors. And then there is Graham and Warren Buffett. One does wonders what would have happened if Warren was swayed by something else than Value Investing?

Momentum on the other hand has barely much of a following. One of the oldest funds out there following a systematic momentum strategy would be Dunn Capital. But despite being around for 44 years, its total Asset under Management is just around a Billion Dollars.

Momentum faces the same issue like Small Cap Investing – more the capital, tougher it is to generate returns similar to what historical testing would showcase. Add to it the fact that most countries tax based on duration of holding and until recently, India had zero tax if you held a stock for more than a year versus paying 15% for short term gains.

Thankfully this spread has now been reduced to just 5% with Long Term Capital Gains too being taxed from this year onwards. Tax Arbitrage is now no reason for holding a stock even when the trend has turned bearish. But without a systematic strategy, not knowing when to get back in can have an negative impact too.

While there are a lot of closet momentum investors among fund managers, but I cannot spot a single manager who will talk about Momentum being a factor in his investing arsenal. There is just a lot of negativity by those who do not really understand and lump momentum trading with everything from manipulation to intra-day trading.

A bigger fear among investors is that somehow larger churn means that there is a bigger risk. In my testing and experience, Momentum Investing carries the same risk as any other strategy – maybe even a bit more but not suicidal risks. But risk is never known beforehand – its only ex-post.

In 2008, many Balanced Mutual Funds fell very close to what the Nifty had fallen despite the whole strategy being one of risk reduction at the expense of returns. Investing is always risky – what one needs to analyse is the magnitude of risk and the probability of recovery if one stayed the course.

Momentum has one big negative though – the inability of us to provide a Narrative as to why a certain stock was picked up. No Cinderella or Alice in the Wonderland stories about how great this stock is, how big the potential is, how cool the management are, how niche the industry is and hence how big their moat is.

When the system picked up Carbon / Electrode stocks across the board, it was not because the system was able to understand the international ramifications of the war on pollution in China. Or in case of Venky’s , it was not because the system felt there would be a positive impact of the Beef ban (or was that just a story without real substance I wonder) on the price of Chicken Feed / Chickens and Eggs.

These stocks were bought because the frickking momentum formula used to identify asked us to buy – nothing more, nothing less. Similar is the story when a stock moved out – it may and very well be a good stock to hold, but with hundreds of other opportunities out there, why stick with something that isn’t working for now.

In my own trading, I had a couple of interesting such times.

The system first picked up Venky’s in the very first month – May 2017. In June, with a month gone and nothing to show, the stock was thrown under the bus.

By August, the stock had shot up, nearly doubling from where the Initial entry was made and once again came into the radar and got picked up. Buying the stock that was sold nearly 50% lower is tougher, but systems have no emotions and stocks are picked up purely based on the logic that has been coded.

Since its entry, it once again doubled showing that missing out is not the biggest of crimes, it’s not getting back in even if it’s at a higher price that can turn out to be costly.

Can the Returns be sustained?

Its feel great to beat the markets and generate strong returns, but the reality is that this is not possible to do over the long term.

As Wes Gray of Alpha Architect fame wrote

“An investor might have an epic run of 20% returns for 5, 10, maybe even 15, or 20 years, but as an investor’s capital base grows exponentially, the capital base slowly becomes ALL capital, and all capital cannot outperform itself!”

Styles and Allocation

Momentum is a great strategy and one that can absorb quite a sum of money, but great rewards come with risks that one may or may not be able to digest.

For a while I have been having discussions and thoughts about how much of one’s equity exposure should go to Momentum. Is 100% too large or is 10% too small is a question to which I have absolutely no real answer, I think the real answer like a lot of stuff in life lies in the middle.

As much as each one of us would like to maximize our returns, the fact is that when it comes to crunch situations, we do not really know how we shall behave.

Momentum is one of the many Styles of Investing that has shown to generate Alpha. More styles would mean more work, but since most styles differ and offer very little correlation to each other, in the end, they offer you the ability to invest more in the markets than what an asset allocation matrix would dictate and yet sleep peacefully at night.

As the above data table from factor research shows, each factor has very little correlation with the others and if you can build three to four different portfolio’s, each confirming to one style, you should be able to get a good night sleep and a pretty decent return despite your portfolio consisting of a 100 different stocks.

In their book, Your Complete Guide to Factor-Based Investing: The Way Smart Money Invests Today by  Andrew L. Berkin  & Larry E. Swedroe, they recommend an Equal Weighted portfolio of 4 factors – total stock market (for beta), size, value, and momentum.

While this can reduce returns, it reduces risk while diversifying portfolio across multiple stocks which ensures that a fraud or a scam in one stock has barely any impact on total returns. Diversification is not a free lunch for concentrated positions can clearly provide higher returns – but the risk as Bill Ackman found in Valeant Pharmaceuticals can be very high too.

At the moment Momentum Investing is a Do it Yourself program. But in the future, there will be funds which will deploy based on philosophies other than just Value which is the dominant style of investing today. Its just a matter of time as more Academic evidence piles up showing the benefits of having Momentum as part of your portfolio.

 

Look Ahead Bias and its Impact on Trading Results

As most system traders, my mind is constantly thinking of ideas that I think can help me beat the markets comprehensively without too much of a effort (no day trading types for example). So, today as I was doing what people do in bathrooms (having a bath), I suddenly had this idea for a new test – it wasn’t really new since I had tested parts of the ideas yesterday and this was more of a build on top of the model I had tested.

Given that so many such wonderful ideas end as failure, I knew there was no point in calling out EUREKA and rushing to the system to test it out pronto though I did kind of write down the general thesis of the idea before I forgot about it and went off to meet up with a few friends.

But as soon as I was back, it was to test out the system and man, had I hit the jackpot. The logic was simple and yet it seemed to work very well, in fact too well. Draw-downs were minuscule and the equity curve was pretty smooth. I was so excited that I even wondered for a second about posting this chart out on Twitter (how else do you think we system traders massage our ego’s :D)

Chart

System-1 and System-2 are both from same system though System-2 had a additional trend filter which seemed to clean out even better. At that point I was already thinking of how much equity to allocate to this bugger.

The only fly in the ointment happened when I then went ahead with bootstrapping the results. The output (p-value) was not something I anticipated (and regardless of anything else I found later would have killed the system). One thing experience has taught us is that if its too good to be true, its most likely not true.

So, the next step was to recreate in fresh all the steps I took from clean data and was the output a revelation. Here is the chart with both the original equity curve and the new ones (Realty-1, Realty-2)

Chart

Realty-1 was still okay though way below the originals while Realty-2 was a disaster. Do note that all of the above is before any slippage / brokerage / STT, etc. Add that and you will question the need to trade.

So, what went wrong?

For starters, the system had two Independent variables wherein decision was taken based on how Variable 1 acted and where Variable 2 was placed. Now, theoretically the idea was that if Variable 1 ended the day positively, I would look whether Variable 2 traded above a certain parameter and then bought Nifty 50 at end of the day.

Now, this meant that I should look at changes in the next day of Nifty 50 of the next day (holding period was of 1 day) and take that change as either my Profit (if it ended the day positively) or as Loss (if it ended in Negative zone). But while coding I had made a small error which meant that rather than take the next day’s figure, it was taking the current day’s figure.

In essence, it looked ahead by taking the returns of the day when the system was triggered rather than the next day. Remember, when the day opens, I have no clue as to how Variable 1 or Variable 2 will close and yet the system conjured that I was already long from previous night and would based on the decision close out my position.

Look ahead bias is one of the frequent biases you shall come across as a system trader for this one bugger makes a bad system look great and a okay system look like you have hit the jackpot. Realty-1 is still nice and may be worth working upon, but for now, sleep was calling.

And rather than Rinse-repeat-Rinse, I shall post the following pic on Look Ahead Bias from the website Quantstart.com

Chart

Does Golden Cross Work

Friend, Nooresh Merani uploaded a video (Youtube Link) where in he literally questions using Golden Cross as a trading / investing tool. While I see loads of skeptics who believe Technical Analysis is Bullshit, I found it disappointing that Nooresh does this since he is a expert in Technical Analysis and runs courses and sells newsletters based on application of Technical Analysis on markets.

Unlike say Elliot or Market Profile, strategies like Moving Average Crossover do not require one’s reading of the charts to decide whether its a Buy or Sell. The strategies that can be tested are generally Binary in nature with clear cut logic behind Buy & Sell which cannot be disputed.

His main reasons for not believing is due to

  1. Huge Lag between time when market hit a low or high and the Signal
  2. Whipsaws which eat away a huge chunk of capital

Both indeed are true. Moving Average systems lag and you can never catch the bottom or the top. But as investor, are you looking to buy at bottom / sell at top or looking to maximize the amount of time you can spend in market when conditions are favorable and out of market when its not.

Lags can be removed by using a smaller multiple for crossover, but that in turn means more trades and hence more slippage / transaction cost and taxes. For example, if you were to test the smallest MA cross (3 by 5) on Nifty 50 since 1990, you will get 405 trades (Long only). On the other hand, for a similar time frame, using a higher multiple like the Golden Cross (50 by 200) would have given you just 14 trades.

A simple Buy & Hold from say 15th September 1993 (on Nifty) would have given you 7330 points. On the other hand, if you used a MA Cross such as the Golden Cross, you will have ended up with 6600 points. In other words, it will not be beating the Buy & Hold returns.

But while we are exposed to markets 100% of the time when we do a Buy & Hold, we aren’t when we use a system such as the Golden Cross. In fact, we are in the market for only 60% of the time. In other words, for 40% of the time, your capital can earn at the very least Liquid Bees earnings as it awaits the arrival of the next signal.

But the biggest advantage is that when markets go down like they did in 2000 or in 2008, you shall be sitting pretty in cash. So, while a Buy & Hold investor can reap a bit more, he will also have to endure a lot more pain. How much pain? Well, let this chart show you the same in picture format

Chart

 

The chart above plots the draw-down the equity curve would have faced when you just bought and held (Blue) vs using the Golden Cross (Red).

As you can see, while the Blue lines test the 50% (loss of half the maximum capital reached) multiple times, with a simple system such as the Golden Cross, you are able to avoid the risks with draw-down barely moving above 20%.

The comfort it provides to be sitting in cash when everyone is neck deep in losses and wondering if the world will shut down tomorrow is hard to describe.

Yes, a moving average system may not be the best tool if you are a active trader willing to take big risks and spending time on the screen. For all others though, this provides the simplest way to participate in bull markets as and when they come.

Below is list of all trades that you would have taken if you had used this system (a few theoretically since Nifty did not exist until 1996).

Chart

Being a systematic trader, for me the biggest advantage of systems that can be tested and validated is that I can risk big. After all, only way to win big is to bet big and for betting big, you need to be sure the odds are in your favor (not in every trade, but overall).

The current Golden Cross may whip and hit the trader / investor with losses. But, that is the way trend following works. You lose 6 out of 10 trades, but the 4 you win more than make up for the losses. If you are searching for a holy grail, you won’t find it in Systematic Strategies at the very least.

Using Open Interest To Find Bull/Bear Signals

In markets, its the dream of every trader to find a anomaly that can be juiced out day in and day out. Big traders / funds keep trying to find such inefficiencies that they can exploit to their advantage. Those inefficiencies are never heard in the public domain since if everyone knows about it, its sure to be arbitraged away.

One such anomaly is about how using change in price and open interest, you can predict the short term (next bar at the very least) move in the ticker concerned. In fact, Investopedia has a page with the same title as this post explaining the rules of the same.

In fact, I myself have been guilty of believing the same to be true even though my systems do not use either Volume or Open Interest to detect trend change signals. Today, a Tip Seller said the same when queried saying that today’s move was short covering and hence he foresaw continuation of the trend. Being long, I am happy to accept and agree with any logic that matches my position, but I commented that short covering was not a viable trend continuation signal (If you read the Investopedia link, it says and I quote “a declining open interest in a rising market is Bearish”.

The thing I keep learning from Tweeples is that while its okay to attack Journos (questioning their integrity), attack fund managers (ridiculing their picks, returns), don’t you dare attack Tip Sellers. In no time was I questioned about my intentions though I had not even linked / tagged to the original message.

Anyways, being a believer in data than hearsay, I decided to test whether the logic really had predictable value. The table below shows the results from Nifty (since it started).

Chart

The results were a surprise even to me since they indicated that regardless of what happened in Price or Open Interest. When Nifty closes +ve, irrespective of change in OI, the next day, you have a 55% probability of markets closing in positive zone. The same is 52% when Nifty closes in Negative Zone.

Given the fact that 52.68% of days are positive, the above stats say that the predictive value of such information is equivalent to what you can get by tossing a coin.  And hey, you don’t need to pay thousands to someone to get that odds.

Buying the Low’s

On Twitter, Alokesh Phukan asked me a query on the difference in returns between buying at the high of the year every year vs buying at the low of the year .

Now, who would not want to buy at the lows of the year but the sad truth is that we have a higher probability of getting hit by lightning than being able to buy at the low of the year, year after year for decades together. And all this for what?

The difference (XIRR returns) comes to 3.12% and while its big, do note that we are comparing against another operator which is non predictable. The easy thing to do would be to buy at the end of the year and the difference between the low and the close comes to just 1.83%.

Since objections were raised as to how every one percent additional returns can make a huge difference at the end, let me provide the figures.

Assuming one invests 1000 Rupees every year, the returns at end of 26 years (Investment of 26,000 Rupees) would be

Value if bought at Low: 2,01,739.00

Value if bought at High: 1,21,043.00

Value if bought at Close: 1,49,321.00

Given that there is no way we could have bought the low (buying the high is much more possible given our emotional state when everything looks good), the question is whether there is anything we can do to minimize the difference between buying at the low and buying at close.

If one wants to trade only once a year, there doesn’t exist much scope other than maybe split uniformly across the year and hope that the average is lower than the year-end closing. But if you are game to trading, there does exist a method where we could actually end up buying more cheaply than the Index (or Stock) was available to trade.

Trading Systems exist by the thousands though the few that are able to beat indices consistently would not be publicly available for trade. Any trading system that has positive expectancy is something that is worthwhile to bet on (if other tests prove it to be a able commander of money).

In simple words, Positive Expectancy is the points your system can make overall per trade (average). If your system trades say 1 trade a week (52 trades a month) and makes on a average 20 points per trade, at the end of the year, the average price of your stock would be (assuming you buy to hold at end of the year) Close Price – (20 * 52) = Close – 1040.

Of course, let me add that you cannot possibly hope to make 20 points in stocks such as ITC, but is entirely possible in Indices such as Nifty 50 or Nifty Bank. Another caveat is that there is no certainty that you shall have your 20 points year after year. Some years will be better than 20, some worse. But if that 20 holds on in the long term, you could actually have a negative price as your purchase price some years down the lane, something that is impossible if you just buy and hold.

Trading means more efforts (both in building systems as well as executing the trades) plus more in commissions / taxes. But if end of the day, you are liable to make a much larger gain without it being relative to how the market performs, its a fair deal in my opinion.

You will never be able to make that one good trade every year, but the law of large numbers will ensure that if your system is good, you could get a return way higher than what you could get by having a crystal ball provide you with the exact date and price of the low for the year.

 

Keeping up with the Joneses

The last couple of years has been fabulous for a large variety of shares. While good shares (large cap) have appreciated a bit, it really has been the season of small caps with many of them showcasing (at their peaks), returns in excess of 1000%, this when the larger market had really gone anywhere.

Most investors are rational and know that they really cannot generate the kind of returns you can by investing in stocks where you really are clueless both about the company and the business it runs. But too many get swayed by the emotions and profits that such moves are accompanied with.

When everyone out there is showing how great their picks have been, its tough to stay calm and be a observer of things believing that normalcy is around the corner and this is just a short term phenomenon. On Twitter and WhatsApp, where I find a large amount of time, its Lake Wobegon affect all over. Everyone is happy to share how the stocks he has picked doubled / tripled (after which its only showcased as having returned some random number with a X suffixing it).

Some of these winners are genuine companies with a great business model that was left un-noticed for a long time but is now coming into the lens of the Institutional Investor. But then again, there are stocks which have gone 10 / 20X for no dime or reason and unless one has the ability to understand the difference, its easier to get into unworthy companies and the worthy turnaround ones, its easier to fall for the unworthy since they really make a lot of noise.

Much of the noise in retrospect is made by guys who picked it up early and are enjoying the returns. While its nice to have such ego boosts once in a while, since most of the time, one is clueless about how much (say as % of networth) he has really risked, it becomes a tale where your imagination is the key.

Digging a bit deeper, most of the time I find guys who claim big to be sellers of subscription based products. Its impressive as to how good they are in their ability to find great investments / trades for their clients and all that for a small fee.

Being a trader, one of the few record keeping trader I follow is @liveNiftyTrades who trades Nifty using a systematic trend following system. Recently, he changed the system and started from a scale of Zero after a year or more of under-performance in his old system.

Right off the bat, it seemed as if this system was designed for Glory as he racked up impressive gains in a very small amount of time. While I generally do not get affected by the profits generated by others, the kind of gains he logged in made me work on whether I was missing something (as my system was nowhere close to generating even 25% of the profits he had made).

But thanks to my mentor and saner thoughts, I was able to continue trading what suited me rather than try and devise a system that was not suitable both in terms of risk and time commitment it requires (shorter the time frame you trade, more the requirement to be in front of the system). Today as he closes his trading account (hopefully temporarily), I understand how fickle that thinking was. But when I look again at those who claimed the multi baggers, even with markets being down big time, I see no one accepting that they went wrong in a few stocks. Its as if, stocks that they were recommending (and many of which are now on the reverse path) are no more in the portfolio.

Instead, now I find a new set of guys who claim to have foreseen this fall and predicting a apocalyptic ending to it. Its their time in the Sun now and if you get swayed by their predictions, do remember that just like the setting of the sun, even this bear market will end – the only question that remains is how many remain to see the dawn of the next day.

Every bear market throws out weaker investors / traders who weren’t prepared for what the market dished out. But if you are able to survive one such market, the lessons learned will come handy for the rest of your life.

As a adage says “This too shall pass”.

 

Inactive Intraday Trading

In the book, Trading in the Footsteps of Sherlock Holmes: Balancing Probabilities for Successful Investing, Dr. Anthony Trongone defines Inactive Intraday Trading as some one who is not actively following the market but trades when it works best according to the system or fits within one’s specified trading schedule.

When I tell people that I am a full time trader, most of them assume that I am a guy who is stuck to the monitor for the duration of the market as I try to decipher the dark secrets of the market and pull wool over my competitors (other traders who take the position opposite to mine). Of course, that is far from the truth as I spend more time away from the monitor than in front of it.

Even though I do trade on the Intra-day time frame, my average holding period for a trade is around 5 days and that means that more often that not, I have not much to do other than twiddling my thumbs so as to speak. And then again, since at the current juncture I do not trade shorts (most trend following systems haven’t rewarded shorts for a long time now), the holding becomes even longer.

For instance, I got out of my long on Monday & have not placed a trade till date. The thought that immediately pops up will be, WTF! aren’t there a lot of other opportunities present in the market and would not it make sense to try and maximize the capital that is otherwise being left underutilized?

In most business, more the time you spend, greater the possibility of a higher income. If a Taxi driver decides to drive for 12 hours instead of 8, he has a very high probability that his Income will be higher (even after accounting for the Expenses). The same applies to a whole lot of other business / professions as well.

But when it comes to trading, more time or more trades does not have to mean a better result. Trading is asymmetric by nature which means that some one who places just a single trade may actually be able to beat you even though you are trading ten trades every hour.

Markets provide opportunities for a trader every day, every hour, every second. But be as it may, the fact remains that we can identify, execute and capture only a very small number of such opportunities. Only in hindsight do we realize whether we were truly successful or not.

But there is also the bigger issue of position sizing. If you put in a large number of trades, the risk per trade needs to be pretty low. But if you were to risk a small amount of capital, the rewards too will be small when measured against the total capital available.

On the other hand, if you were to start risking bigger chunks of capital, you could either start blowing up through you account way faster than what is sustainable or end up moving the markets every time you take a trade since the quantity you trade is higher than the liquidity that is present in the market. Either of them is dangerous to the health of your capital and since the impact of losses are much higher than the happiness of wins, the damage to the traders health can be pretty dastardly.

Since 1st January 1996 till date, CNX Nifty has moved up by 7211 points over a period of 4929 days giving us a average gain of 1.46 points per day. But if you were to have a crystal ball which could predict before close of today the closing price of tomorrow, you could have gained those 7211 points by being in the market for just 32 days (0.65%). Yes, just 32 days of rise accounts for the total gains made by Nifty over the last 19 years.

My point in providing the above static is not to say that one needs to search for a Crystal Ball (Holy Grail) that can identify such days. Rather, my thought out here is that the above numbers showcases the fact that with the right tools and strategies, no investor / trader needs to be distraught at missing small opportunities. On the other hand, its important that not only we have a system that can be rightly positioned when the big moves happen (here is a clue: most big moves have happened in line with the trend that was in effect) and more importantly we have the know how and ability to bet big.

Trading can be a enjoyable and profitable venture. Do not make it into something that eats into your life day in and day out. No amount of money / profits that you earn by taking that kind of stress can ever repair long term damage to the health and psychology that occurs due to such continuous strain.