However you do it, even though you may not think so, you have an approach.
The majority of traders will eventually use some form of technical analysis (also known as chart traders, market technicians and chartists).
Just before we go down this road of mystical wonder I think it is very important that you hear both side of the argument of why technical analysis works.
For every book that there is on making money trading there is probably an opposite book explaining why it can't be done. Before you dismiss the last statement out of hand. Lets explore the argument that no matter what you do you can't beat the market.
Random Walk
The random walk theory dictates that a security prices changes randomly, with no predictable patterns. Now that's quite a statement but there are number of very respected statisticians who have a very convincing argument to prove it.
It all started in London with a man called Maurice Kendall who presented a paper to the Royal Statistical Society in 1953. The subject of the paper Kendall presented was the behavior of stock and commodity prices.
Kendall started out looking for predictable price cycles in stock and commodities prices. The problem was he couldn't find any.
Regardless of how he approached it, the price of a stock was just as likely to go up or down on any given day despite what happened on the previous day. Which is where we get the term Random Walk. Prices seemed to follow a random walk as he observed them.
The best way to demonstrate this is with a game. Let say we are going to make a bet on the toss of a coin. You start with $100. We will toss this coin once per day. If it comes up heads you win 3% and if it comes up tails you lose 2.5%.
At the end of the first day you will either have $103 or $97.50. At the end of the second day we repeat the process.
The probability of the coin landing heads or tails is exactly 50%. This is because regardless of how many times the coin is tossed each event is independent. The coin has no memory of what happened the toss before. This means that the results will be totally random.
Kendall's paper implies the same effect in the stock or commodities market. If each day is an independent event then the markets must be random. We shall talk about more probability's later.
Taking this idea slightly farther if the markets are random then the history of the price of a stock or commodity has no bearing on the future price. It wouldn't help to look at charts or data, as each day there would be a 50% chance of the market going up or down.
You may be thinking by this stage that this theory is rubbish. I can trade the markets and make money! Try this simple test. Have a look at the two charts below. One is a chart of 100 daily closes of the Dow Jones Industrial Average and the other is a 100 random coin tosses.
Makes you think doesn't it! If each day in the market were in fact an independent event then it would be impossible for you to make money from it consistently.
You see any succession of event's particularly independent events can have an aberrant run. This is what kills the trader.
Guide To Technical Analysis
Call up the chart of the stock you are interested in, and perform the following simple but important analysis:
1. Volume Analysis
When stocks fall in price, there should be an increase in volume to denote selling or distribution. There is normally a sudden spike in volume when the stock hits a near bottom or bottom. This volume spike shows that selling is exhausted, as the last remaining weak holders of the stock give up in despair as prices continue to drop and throw out their last remaining stocks, causing the volume spike.
Correspondingly, look for an increase in volume as the trend changes and there is an break out in price, when buyers come in to pick up the stock as they perceive the price has gone down low enough.
2. Pattern Analysis
Before a stock break out of a trading or consolidation range, there are tell tale signs and specific patterns that you can usually find. Among the bottoming patterns are candlestick patterns such as hammers, inverted hammers, piercing lines, rising stars, bullish engulfing patterns. Of notable interest is the inside day or included day pattern, which is commonly sighted before the outbreak. When there is an inside day, pay attention!
3. Trendlines
Trendlines is a simple way to identify outbreaks in trend. Connect the tops of previous high price ranges or the bottoms of previous low price ranges to form a trendline. A penetration upwards of the trendline will denote a outbreak to the upside and a outbreak to the downside denotes further correction.
4. Oscillators
Favorite oscillators to show overbought and oversold regions of a stock are the Stochastics and its close cousin, the Stoch-RSI. By themselves, they can lead to whipsaws as oscillators can be overbought or oversold for long periods. So oscillators like these should be used in conjunction with other indicators for synergistic interpretation. The out break into uptrends is denoted by the stochastics or the stoch-rsi moving upwards above the lower level which is normally fixed at 20% ( oversold level), and where 80% is the overbought region.
Trading outbreaks is a fine art, where some successful traders have been very successful in removing all emotion that prevent them from taking immediate action. Some of them have "perfected" their trading systems to recognise trends and patterns using just price bars and time- without any other technical indicators - so that they can trade their proven systems without being paralysed by too much analysis. To them, trading is both fun and profitable, as they have proven to outlast the many market crashes and have continued to increase their personal wealth by trading.
Both Martin Chandra & Peter Lim ,cfp are contributors for EditorialToday. The above articles have been edited for relevancy and timeliness. All write-ups, reviews, tips and guides published by EditorialToday.com and its partners or affiliates are for informational purposes only. They should not be used for any legal or any other type of advice. We do not endorse any author, contributor, writer or article posted by our team.
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