How To Identify Trend And Why It Is Important For Profitable Trading

You can quickly get current trends right on your chart based on the current timeframe so you can easily spot the overarching trends in any timeframe. I have never figured out how to master the reversal chart pattern in full disclosure. It may be something in my brain, where I need things to continue on their current trajectory.

The profit target is the assumed maximum amount a trade will reach, at which an investor will exit the trade for an optimal gain. It is a vertically measured distance between the highest price – top of the head, and the lowest price – the neckline, to determine the price difference or spread amount between the two. With an inverse trend, stops are placed below the low price at the top of the head, and with the peaking head and shoulders pattern, stops are above the high price at the top of the head.

Our study suggested that even though the BRICS markets may share similar characteristics, the trading systems lead to very heterogeneous results. In some countries, trading based on moving averages could not exceed the buy and hold strategy. Therefore, there is no clear pattern in the historical data that could be used generally across the markets. Although results support that the weak form of the efficient market hypothesis could be rejected, the trading strategy did not lead universally to better results than the gains generated by the buy and hold strategy.

Best Day Trading Chart Patterns

However, Costa et al. and Ratner and Leal , who considered transaction costs, identified that the predictive capacity of TA does not lead to abnormally strong returns. I have traded stocks since the ripe, young age of 11 years old when my dad began teaching me about the financial markets. My success didn’t happen overnight, and there were times when I doubted myself , but in the end, I fought through the difficult times to become a successful and consistently profitable trader.

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Interest in these countries has been stimulated by the typical characteristics of their macroeconomic environments, such as instability, uncertainty, and inflation resulting from their adopted economic growth strategies. According to Chang et al. , emerging countries became attractive markets to investors looking for portfolio diversification and financial returns above the average attainable from the consolidated markets of developed countries. Emerging markets differ from markets in developing countries insofar as they are closer to the markets of developed countries, making them more dynamic and attractive to foreign investors. On this topic, Mukherjee and Roy emphasized the relationship between instrument price fluctuations and macroeconomic particularities.

Noting down your entry and profit targets or any other variables that might affect the trade is advised, as it helps to plan. A large part of trading profitably is defining the potential risk and reward, as some trades don’t offer enough profitability to make it worth executing. For an inverse chart pattern, the opposite applies – a vertical distance from the top of the head up to the neckline would indicate how high prices are likely to reach. When using the head and shoulders pattern to indicate when to enter or exit a trade, it is essential to wait until it is complete as it might not develop fully in the future. Therefore, even though keeping an eye on partial or nearly fully developed patterns is beneficial, no trades should be placed before a full pattern completes. It also means that the trend is slightly harder to spot and that it could take longer to turn from one direction to the other.

The basic principle of technical analysis is that patterns related to past prices of instruments traded in the asset markets can be used to predict the direction of future prices. The objective is to enhance the return of an investment portfolio by understanding the interaction of price indicators for the portfolio’s holdings over an identified time period. According to Stanković et al. , TA is a way of detecting trends in asset prices based on the premise that the price series moves according to investors’ perceived standards. Their study demonstrated that the duration of these standards is sufficient for the investor to make above-average profits, even if the investments incur transaction costs.

The goal of our research was to investigate the profitability of trading strategies based on TA in the stock markets of BRICS countries. To this end, we developed an automated trading system based on the moving averages of past prices. We demonstrated that this trading system, using technical analysis techniques, could surpass the profitability of a buy and hold strategy for a portion of the traded assets, calculated by country. The work presented in this paper updated the findings of previous research, and found that technical analysis can help fundamental analysis identify the most dynamic companies in the stock market.


This paper investigated the efficiency and profitability of applying technical analysis to the stock markets of BRICS member countries. We analyzed whether investors could obtain above-average returns, as suggested by the recent research of Stanković et al. and others. For this research, we assembled a comprehensive portfolio of stocks from the BRICS countries that contained all the assets traded in the markets of each BRICS member. In previous research, findings about the profitability of technical analysis were quite inconsistent when applied to the stock markets of emerging countries.

Because their stock markets are younger, efficiency may be related to market maturity, indicating that technical analysis performs well and sustains the results of Chong et al. . Moreover, in these same markets, the increase in transaction costs shifted significantly the range of the short-term MAs that were better, as presented by Tables5, 6, and 7. This procedure eliminated the impact of any nominal exchange rate and inflation fluctuations on transactions. For our research, we constructed a portfolio composed of a wide number of holdings. This approach allowed us to verify the average profitability gained through technical analysis for all assets traded in the stock market for each BRICS member country. Given these conditions, we considered an investor who was investing US$10,000.00 in each asset of the country, converted at the exchange rate on June 24, 2016.

Data for South Africa, China, and India corresponded to the period from 2000 to 2016. There have been few experimental tests of the profitability of the TA indicators across the typical market structures of emerging countries. In particular, further work is needed regarding the BRICS member nations, a special subgroup composed of Brazil, Russia, India, China, and South Africa.

On the other hand, if the long-term MA becomes greater than the short-term MA, a sell signal is generated. In a study using data from Bangladesh, Mobarek et al. proposed that the accelerated growth of the capitalization level in that country was an investment opportunity. The null hypothesis that the market is Trading CRM for Your Business to Work weakly efficient was rejected after verification. The head and shoulders top pattern is bearish, indicating prices could be reversed and trending down again. In contrast, the inverse or reverse head and shoulders pattern is bullish, showing a downward trend is about to change as prices start to climb up again.

Are trading patterns profitable

The analysis was conducted on a risk-adjusted basis, and accounted for brokerage fees. The authors found several levels of efficiency in the markets, but overall, TA strategies could not beat the buy and hold benchmark, and prices could not foster excess returns above the market average. These results indicated that similar characteristics did not lead to a single winning strategy. The use of the automated trading system generated a summary of the performance of each asset in each country. Concerning the profitability of the operations, the proportion of the assets of each country was identified for each strategy.

Trading Abc Patterns

The tradable CD leg has a harmonic relation with symmetry for AB and BC swings. The ABC bullish structures are formed after a prolonged prior down trend or consolidation trends, whereas bearish ABC patterns are formed after a prior uptrend. For the South African market, one of the most consolidated of the samples, the most attractive returns were stable. For the three categories of MA crossovers, and for all simulated types of cost, the short-term MA crossover at the interval [37; 40] with the long-term MA of the range [116; 120] proved to be profitable in all simulations. Thus, more efficient markets showed more conservative, but more stable, returns. The head and shoulders pattern allows investors to estimate price targets for trade entry and exit, making it easier to place a stop-loss order.

  • In general, research indicated that it is natural for markets to become efficient, because they do not obtain significant returns from past price behavior.
  • 10 am to 11 am provide the perfect opportunities for trend changes as 30-minute and 1-hour traders enter the morning action.
  • A price target is a projection of a security’s price in the future; in this case, an estimation of how low the price will go after a neckline is broken.
  • The null hypothesis that the market is weakly efficient was rejected after verification.
  • If these two indicators aren’t showing, it can be a sign the price decline trend isn’t as strong as it could be; however, this isn’t definite.

Others believe it is a sort of Holy Grail that once mastered will unleash sizable profits. These opposing viewpoints have led to misconceptions about technical analysis and how it is used. A trendline can help estimate the future price trajectory, and also warn you when a trend may be reversing. For example, the price may be moving in an overall downtrend on the daily chart, but an uptrend on the 15-minute chart.

After the head and shoulders pattern completes, investors can determine profit and price targets. The number of shares trading, and trading volume, is one of the most vital indicators for confirming the pattern’s strength. However, it is more critical for an inverse head and shoulders formation, as prices are increasing and volume has to be higher to make prices rise, showing buyers are pushing it up. In simple terms, where the standard head and shoulders pattern indicates that increasing prices are about to start going down, the inverse formation shows decreasing prices over a period are about to rise again.

Only Individual Traders Use Technical Analysis

In general, buy and hold is a more profitable and risk-free alternative to an automated strategy for most emerging markets. Ellis and Parbery highlighted the use of moving averages for the generation of buy and sell signals as a mechanism to identify price trends. While the short-term moving average is more sensitive to price changes, longer term moving averages capture medium- and long-term trends.

The latter included the specification of the moving average type, the range of each MA, and the initial capital to be applied. Recent empirical evidence for South Africa verified by Noakes and Rajaratnam suggested that the level of capitalization of traded assets in that country was inversely related to market inefficiency. Moreover, the authors suggested that the degree of market efficiency falls during periods of crisis, as during the financial crisis of 2008. An inverse head and shoulders pattern is a chart formation used in technical analysis. It is the opposite of the head and shoulders top pattern – the same chart formation but in reverse, indicating a bearish-to-bullish trend reversal instead. Besides volume and time frame, there can be other factors involved that can help confirm and determine the strength of the pattern.

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Based on this study, we can point out strategies that result in above-average profitability, raising questions about the EMH in emerging markets. A question that remains to be answered, however, is why some combinations of moving averages perform better than others. For example, in South Africa the most profitable short-term MAs belonged to a very specific range. Another area for future research is analysis of the role played by small cap assets in the performance of moving average strategies in emerging markets. While this system was developed carefully, the study had some limitations.

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