In addition to normal intermediate and longer term discretionary trading, I have worked on developing systematic trading strategies over the past three or four years. So far my favorite of these strategies is a group of heuristics or algorithms that trades the e-mini S&P 500 in the short-term using intraday data. We are going to use a test of this short-term e-mini strategy to talk about the importance of risk management verses accuracy in trading.
All of the strategies used are fairly simple and built around respect for price trend, letting winners run and cutting loses short. It is a short-term trend follower, and developing it has taught me many invaluable lessons for trading. One of those lessons is that risk management is by far more important than accuracy.
If you are like me, you originally came to the financial markets because some accountant somewhere told you that you needed to invest. That's what happened to me back in the late 90's when my best friend and I were running a wakeboard equipment (tow ropes and handles) production business literally out of our garage. Sometimes my desire to know the who, what, why about things I am instructed or advised to do is annoying to those giving me the instructions. This was no different. Instead of saying "OK, tell me what to buy" to our accountant, I decided I would learn about the markets. Before that, I don't even think I knew what CNBC was (I still don't watch it). That was years ago. Today, oddly enough, I endeavor to work in these markets as my main profession. Although it was not immediate, and lots of mistakes have been made along the way, I ended up finding great joy in solving these puzzles and riding these price waves.
When first entering the investing world, we all tend to think in terms of accuracy -wins vs losses, etc.... Its just natural. If someone comes to you and asks you to invest in their operation that loses 60% of the time in their main activities, it is an immediate turn off. Most investors are casual investors and never get past this idea that accuracy is of prime importance. They what to know what to buy, when really they should be asking how much to buy, when to exit for a loss, or when to exit for a gain. On this page, I am going to show you an example of risk management overpowering accuracy.
There are two charts below. The first one is a daily bar chart of the S&P 500 stock index cropped to only show the January 1, 2004 to August 13, 2004 period. This is the period for the system backtest. Why this period? Personally, the 2003 to 2007 period was very hard on my intermediate and longer term discretionary trading. These difficulties led me to developing systems to supplement accounts where I was only using personal discretion. Within the 2003 to 2007 period, a look at the chart shows a particularly nasty sideways whipsaw land in 2004. I like throwing the most difficult periods at my systems during tests, and this seemed like a good one to throw at it. See for yourself on the chart.
From Jan 1st to August 13th, 2004, the S&P 500 lost 4% of its value based on closing prices. From the intraday high on March 5th, 2004 to the August 13th closing low, the loss to the stock index was 8%. Again, we are looking at a sideways chop.
The second chart is a graph of the trading system's equity curve, measured at the close of every single trade, represented in percentage terms for the same period.
For the same period in 2004 that the S&P essentially went nowhere while actually losing 4% or more of its value, the trading system gained 21%. But the idea that risk management is more important than accuracy has still not been shown. For that, lets look a little deeper into the win vs. loss ratio of the system's trades.
There were 79 trades to the system for that same period. Only 34 of those trades were wins. The remaining 45 trades were loses to capital. So, the system only won 43% of the time, while losing 57% of the time. Accuracy is not important!
What allowed the system to stay alive, to not go bust, to keep trading, and to actually return a hansom profit? Risk management is the key to a successful trading business. Only between 2% and 5% of capital was risked on each trade as recommended by my recent post on
Equity Curve Trading. In addition, stops were maintained diligently and moved with any trend that went in the direction of a trade placed. Losses were cut short. We did not wait for them to become winners. We cut them immediately when the stop/loss level dictated by the trend following system was hit. Winners were allowed to run. We did not take profits at any certain level. We let the trades run until they hit the stops that were moved along with the trend in a systematic and specific manor -similar to
chandelier stops. Trades were initiated only due to short-term trend signals that were themselves filtered by longer term signals. We did not look at the news or opinion for our signals, we looked at price action.
Bottom line, the trend signals are not very accurate, but they do allow you to catch trends that are developing. It is the risk management that allows a trader to churn out the profits, not their acumen for knowing what the market is going to do next. Granted, I do use discretionary and somewhat predictive in nature tactics for some of my intermediate and longer term work, but that is not where ultimate and lasting success is likely to come from. Good and diligent risk management is where longevity and profitability in this business can be found.
By the way, the accountant from the background story was simply trying to sell me some loaded mutual funds. I would not have even known what that meant at the time. She wanted to make a little commission is what it meant. This was not revealed at the time. She seemed to be giving some "friendly" advice to people who already employed her part-time for other specific tasks. After reading just a few books on markets and talking with her, it became pretty apparent that she did not really know much about investing and trading. Its good to ask questions and want to understand the nuts, bolts, and details of what you are getting into because that is your first line of risk management.