It is easy to become obsessed with adding to our trading arsenal with knowledge, books, chart patterns, indicators, moving averages, and gurus, that we forget to analyse what we need to remove from our plan.
One of the largest determining factors as to whether a new trader ends up as a winning trader, is how well they can filter out what doesn’t help them make money. Traders can’t follow every indicator, trade every method, and endlessly add to their trading methodology. As traders we have to make choices. We must know what makes money and what to remove from our trading strategy.
- Give up your need to be right: The market is always right, don’t strive to be right in your predictions and opinions. Strive to go with the flow of the market.
- Give up control: No matter how long you watch a live stock stream, you have no power over the movements. Save your emotional energy by not trying to cheer on your positions and get wrapped up in every price tick.
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In my experience, investors sitting on a lot of cash are usually worried about equity valuations or the economy, and tell themselves and others that they’re going to buy gobs of stock after a crash. The strategy sounds prudent and has common sense appeal—everyone knows that one should be fearful when others are greedy, greedy when others are fearful. But historically waiting for the market to fall has been an abysmal strategy, far worse than buying and holding in both absolute and risk-adjusted terms.
Using monthly U.S. stock market total returns from mid-1926 to 2016-end (from the ever-useful French Data Library), I simulated variations of the strategy, changing both the drawdown thresholds before buying and the holding periods after a buy. For example, a simple version of the strategy is to wait for a 10% peak-to-trough loss before buying, then holding for at least 12 months or until the drawdown threshold is exceeded before returning to cash. This strategy would have put you in cash about 47% of the time, so if our switches were random, we’d expect to earn about half the market return with half the volatility.
The chart below shows the cumulative excess return (that is, return above cash) of this variation of the strategy versus the market. Buy-the-dip returned 2.2% annualized with a 15.7% annualized standard deviation, while buy-and-hold returned 6.3% with an 18.6% standard deviation. Their respective Sharpe ratios, a measure of risk-adjusted return, are 0.14 and 0.34, meaning for each percentage point of volatility buy-the-dip yielded 0.14% in additional annualized return and buy-and-hold yielded 0.34%.
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“Whenever I enter a position I have a predetermined stop. That’s the only way I can sleep at night. I know where I’m getting out before I get in.”- Bruce Kovner
The biggest reasons traders end up unprofitable is simply because their big losses knock out all their previous gains.
If you went back and removed your biggest losses over the past few months or year what would your trading results look like? Many of the best traders I know did this at some point in their trading careers and had an enlightening moment. The major factors that made them unprofitable or caused them big draw downs in capital were the big losses. The roots of the big losses were usually based in emotions and ego not a market event. A big loss is almost always caused by being on the wrong of a trend and then staying there.
What are the top 10 root causes of big losses in trading?
- Too stubborn to exit when proven wrong: You just refuse to take a loss; you think a loss is not real as long as you do not exit the trade and lock in the paper losses.
- Too much ego to take a loss: You are on the wrong side of the market trend but think if you hold a losing position you can be proven right on a reversal. While you are waiting to be proven right your loss gets bigger and bigger.
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One of the investors we follow closely here at The Acquirer’s Multiple is Steven Cohen, founder and chairman at Point 72 Asset Management. According to their last reported 13F filing for Q2 2018, Point72 has $25.056 Billion in managed 13F securities.
Cohen recently wrote a great article together with Matthew Granade, managing partner of Point72 Ventures, at the WSJ which provides a warning for investors based on the impact that model-driven companies are having on the changing business landscape saying:
“Software continues to eat the world, but yesterday’s advantage is today’s table stakes. In the hunt for competitive advantage, model-driven companies will accelerate away from the pack now that software has become ubiquitous.”
Here’s an excerpt from that article:
The software revolution has transformed business. What’s next? Processes that constantly improve themselves without need of human intervention.
Marc Andreessen’s essay “Why Software is Eating the World” appeared in this newspaper Aug. 20, 2011. Mr. Andreessen’s analysis was prescient. The companies he identified— Netflix , Amazon, Spotify—did eat their industries. Newer software companies—Didi, Airbnb, Stripe—are also at the table, digging in.
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A book review for Brent Penfold’s book “The Universal Principles of Successful Trading: Essential Knowledge for All Traders in All Markets“
This book is excellent for traders that are ready for it. You need a foundation in trading to understand its importance and take the principles seriously. Once you are through the rainbow and butterfly phase of trading and realise that you will not be a millionaire in a year, this book will help you get focused and get serious about your trading and what really works.
Here are the six universal principles of successful traders:
1) Preparation
Author Brent Penfold is in the minority believing risk management is the #1 priority in trading. Brent believes that once you get your trading system and position size in place you must use the amount you will risk on each trade to determine your risk of ruin. The book shows exactly how to figure this out using Excel. His point is that if your risk of ruin is not zero then you will eventually blow out your account. Risking 1% to 2% of your capital in any one trade usually gives you a zero percent risk of ruin but it also depends on your systems win/loss ratio. But the point is to test any system with 30 trades first then determine your risk of ruin.
2) Enlightenment
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AK has been an analyst at long/short equity investment firms, global macro funds, and corporate economics departments. He co-founded Macro Ops and is the host of Fallible.
In this video we’re going to discuss how Ray Dalio created his investment strategy and how you can use the same principles to create your own!
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How to use the gann fan indicator, How to draw gann fan, these are the most common questions about this indicator. For good reason though!
This trading strategy is a complex support and resistance trading strategy that uses diagonal support and resistance levels. Unlike the traditional horizontal support and resistance levels, the Gann fan angles are mathematically calculated based on the price, time and the price range of the market. If you want to learn how to correctly trade horizontal support and resistance level we’ve got your back, just read Support and Resistance Zones – Road to Successful Trading.
Our team at Trading Strategy Guides has developed the best Gann fan trading strategy which can be applied to all markets because according to the Gann theory, financial markets move as a result of human behaviour which makes them cyclical in nature. In other words, history is a good predictor of future price action.
One of the main reasons why Gann fan angles are superior to the horizontal support and resistance levels is that financial markets are geometric in their movements. This means that if you can spot a pattern or or any other geometric shape in a chart, then there is a high probability you can spot them at the Gann fan angles.
Now…
Before we get started, let’s look at what indicator you need for the job for the Best Gann Fan Trading Strategy:
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StockCharts.com’s Chief Technical Analyst, John Murphy, has created another set of trading rules: “Ten Laws of Technical Trading:”
“Which way is the market moving? How far up or down will it go? And when will it go the other way? These are the basic concerns of the technical analyst. Behind the charts and graphs and mathematical formulas used to analyse market trends are some basic concepts that apply to most of the theories employed by today’s technical analysts.”
The following are John’s ten most important rules of technical trading:
- Map the Trends
- Spot the Trend and Go With It
- Find the Low and High of It
- Know How Far to Backtrack
- Draw the Line
- Follow That Average
- Learn the Turns
- Know the Warning Signs
- Trend or Not a Trend?
- Know the Confirming Signs
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There are lots of people who trade stocks based on news and financial results. And they get severely confused and even disappointed when stock price roars despite a bad result/bad news or worse, it falls despite a wonderful result/good news. Today’s article depicts how trading based on news and results is a hopeless, dangerous and a loser’s game.
In India, companies are required to report their quarterly earnings to its shareholders. So, in every three months’ time, we are faced with a plethora of companies coming out with their quarterly results. So, most traders buy if results are good and if results are disappointing, they sell. On the face of it, it appears completely logical but let me tell you, it is far from being logical.
Let me show you a recent real life scenario which defied the logic of buying on good results:
Mahanagar Gas Limited (MGL), announced it’s Q1 2017-18 results on 9th August 2017. The result was terrific yet the stock fell like there’s no tomorrow.
Here are the key highlights of the result:
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10 Reasons moving averages work as trading tools.
- Moving averages filter trends in different timeframes.
- Moving averages can create entry signals at the beginning of a trend.
- They can be used as exit signals when price dips below them.
- Moving averages can be used as trailing stops so you can exit with profits when a trend starts to bend.
- Moving averages can be used in crossover combinations for slower signals.
- Moving averages can help filter volatility.
- You can do historical back tests of price action to develop price action trading systems using moving averages.
- Moving averages are reactive technical trading tools not predictive.
- When price falls below and then breaks back over a moving average it is a great signal for a potential reversal.
- Moving averages are better gurus than talking heads on financial television.
Moving averages have a place in any trader’s or investor’s strategy. They are my favourite filter for price action.
The original post is written by Steve Burns, appears on newtraderu.com and is available here.