Started by RoboForex, Sep 02, 2022, 05:54 am
0 Members and 1 Guest are viewing this topic.
There is an opinion that modern tech analysis is based on the Dow theory, and today we will speak about this unique Charles Dow's theory that still remains quite efficient. Also, we will discuss how this approach can be used in trading.
A series of Dow's articles in the Wall Street Journal helped William P. Hamilton, Robert Rhea, and George Schaefer design a market research theory.
The Dow theory is an approach to trading based on six principles. The main focus is on price highs and lows that help detect the current trend. Also, each outer factor, such as news or random events, is supposed to be already incorporated in the price. The Dow theory in technical analysis remains topical these days as well.
Initially, the principles were used for the railway and industrial indices only that were included in the Dow Jones Industrial Average. However, some research proves the efficacy of the principles for the stock market as well.
For example, Martin Pring in his book Technical Analysis Explained wrote that the stocks from the Dow Jones index bought in 1987 for 44 USD could have yielded about 2,500 USD of profit if sold in 1990.
As said above, the whole of the Dow theory is based on six principles. Let us take a look at each of them in a more detail.
All events and factors have already been taken account of by the market and included in the price. Absolutely any event that might happen, even a disaster or an earthquake, is valid. The principle is also known as "Market depreciates everything".
For example, if a company is getting ready to present a great report, the market is likely to account for it even before the report appears. In other words, the demand for the shares of the company will grow in advance, and after the report is published, the growth might stop.Moreover, the quotes might fall when a strong report is published because the report might turn not as great as expected.
Charles Dow defined the trend but never made a focus on uptrends, downtrends, and flats as in classical tech analysis. Nonetheless, his definition of the trend remains efficient. It says that in an uptrend, each next high and low is higher than the previous one. In this principle of the Dow theory the length of trends is estimated:
In the primary trend, the Dow theory singles out three phases based on the info background and investors' behaviour:
The Dow theory comparrs the railway and industrial indices to see to what extent the current trend has progressed. Any movement of one index must be proved by the other one. Moreover, the time that passes between these movements must be minimal: the smaller it is, the stronger is the signal.
For example, we can suspect that the market is bullish when both indices renew previous highs. And if just the industrial index hits the high while the railway index never confirms the movement, this means it is too early to make forecasts by the Dow theory.
Trade volume is expected to grow in the direction of the prevailing trend. In a bullish trend, trade volume must grow alongside the growing price, and in a downtrend it must fall while the price is falling.
However, Dow never considered this signal to be the main one: he first looked at the price chart behaviour and then searched for volume confirmations.
In the Dow theory, a market reversal is considered hard to find: a new trend aims in this direction. However, there is a view that a bullish trend reverses when the price cannot renew the previous high and demonstrates a low below the previous one. This might be a trend slowdown or a reversal because the sequence of new highs and lows has stopped, and there is a risk of going in the opposite direction.
Charles Dow theory is quite easy to adapt to modern markets. Jesse Livermore said that markets are moved by the psychology of market players. Though there have appeared new markets, psychology has never changed; hence, the patterns and laws discovered by Charles Dow on charts will be working in the future as well.
What do you think about the Dow theory plus Forex? Indeed, these days it is used in Forex as well. For example, we trade the trend and combine different timeframes for signal search.
Trend reversals that appear when the price cannot renew the previous high often lead to the appearance of such patterns as the Head and Shoulders and Double Top.
And if we trade a bullish trend, some traders who use tech analysis think that one should buy when the price breaks through a high or nears the preceding low. If the trend is strong, a breakaway of the high can push the price further up and will not let the price fall below the previous low.
There might be no direct correlation between the Dow theory and Forex, but most often the ideas of price behaviour described above coincide with the analysis practises by modern traders. With graphic patterns, forecasts by the Dow theory can be made.
The Dow theory describes market behaviour very well. While initially it was designed for index analysis, today traders successfully use it in tech analysis.
The emphasis is not only on price movements but also on the behaviour of market players at different stages of trend development. The theory might contain a psychological part.
Obviously, certain principles are outdated but no one will dare deny the importance of the Dow theory for modern trading.
The post How to Use Dow Theory in Technical Analysis appeared first at R Blog - RoboForex.
Page created in 0.029 seconds with 16 queries.