The commodity channel index (CCI)is an oscillator originally introduced by Donald Lambert in 1980.
Since its introduction, the indicator has grown in popularity and is now a very common tool for traders in identifying cyclical trends not only in commodities but also equities and currencies. The CCI can be adjusted to the timeframe of the market traded on by changing the averaging period.
1. Calculation
CCI measures a security’s variation from the statistical mean.
The Commodity Channel Index (CCI)indicator is calculated as the difference between the typical price of a commodity and its simple moving average, divided by the mean absolute deviation of the typical price. The index is usually scaled by an inverse factor of 0.015 to provide more readable numbers:
,
where pt is the , SMA is the simple moving average, and MD is the mean absolute deviation.
For scaling purposes, Lambert set the constant at 0.015 to ensure that approximately 70 to 80 percent of CCI values would fall between −100 and +100. The CCI fluctuates above and below zero. The percentage of CCI values that fall between +100 and −100 will depend on the number of periods used. A shorter CCI indicator will be more volatile with a smaller percentage of values between +100 and −100. Conversely, the more periods used to calculate the CCI, the higher the percentage of values between +100 and −100.
2. Use CCI Indicator
Traders and investors use the commodity channel index to help identify price reversals, price extremes and trend strength. As with most indicators, the CCI should be used in conjunction with other aspects of technical analysis. CCI fits into the momentum category of oscillators. In addition to momentum, volume indicators and the price chart may also influence a technical assessment. It is often used for detecting divergences from price trends as an overbought/oversold indicator, and to draw patterns on it and trade according to those patterns. In this respect, it is similar to bollinger bands, but is presented as an indicator rather than as overbought/oversold levels.
The CCI indicator typically oscillates above and below a zero line. Normal oscillations will occur within the range of +100 and −100. Readings above +100 imply an overbought condition, while readings below −100 imply an oversold condition. As with other overbought/oversold indicators, this means that there is a large probability that the price will correct to more representative levels.
The CCI has seen substantial growth in popularity amongst technical investors; today's traders often use the indicator to determine cyclical trends in not only commodities, but also equities and currencies.
The CCI, when used in conjunction with other oscillators, can be a valuable tool to identify potential peaks and valleys in the asset's price, and thus provide investors with reasonable evidence to estimate changes in the direction of price movement of the asset.
Lambert's trading guidelines for the CCI focused on movements above +100 and below −100 to generate buy and sell signals. Because about 70 to 80 percent of the CCI values are between +100 and −100, a buy or sell signal will be in force only 20 to 30 percent of the time. When the CCI moves above +100, a security is considered to be entering into a strong uptrend and a buy signal is given. The position should be closed when the CCI moves back below +100. When the CCI moves below −100, the security is considered to be in a strong downtrend and a sell signal is given. The position should be closed when the CCI moves back above −100.
Since Lambert's original guidelines, traders have also found the CCI valuable for identifying reversals. The CCI is a versatile indicator capable of producing a wide array of buy and sell signals.
Commodity Channel Index CCI can be used to identify overbought and oversold levels. A security would be deemed oversold when the CCI dips below −100 and overbought when it exceeds +100. From oversold levels, a buy signal might be given when the CCI moves back above −100. From overbought levels, a sell signal might be given when the CCI moved back below +100.
As with most oscillators, divergences can also be applied to increase the robustness of signals. A positive divergence below −100 would increase the robustness of a signal based on a move back above −100. A negative divergence above +100 would increase the robustness of a signal based on a move back below +100.
Trend line breaks can be used to generate signals. Trend lines can be drawn connecting the peaks and troughs. From oversold levels, an advance above −100 and trend line breakout could be considered bullish. From overbought levels, a decline below +100 and a trend line break could be considered bearish.
3. KEY TAKEAWAYS
+ The CCI is a market indicator used to track market movements that may indicate buying or selling.
+ The CCI compares current price to average price over a specific time period.
+ Different strategies can use the CCI in different ways, including using it across multiple timeframes to establish dominant trends, pullbacks, or entry points into that trend.
+ Some trading strategies based on CCI Indicator can produce multiple false signals or losing trades when conditions turn choppy.
Technical analysis (TA) is, essentially, the practice of examining previous market events as a way to try and predict future trends and price action. From traditional to cryptocurrency markets, most traders rely on specialized tools to perform these analyses, and the RSI is one of them.
The Relative Strength Index (RSI) is a TA indicator developed in the late 1970s as a tool that traders could use to examine how a stock is performing over a certain period. It is, basically, a momentum oscillator that measures the magnitude of price movements as well as the speed (velocity) of these movements. The RSI can be a very helpful tool depending on the trader profile and their trading setup.
The Relative Strength Index indicator was created by J. Welles Wilder in 1978. It was presented in his book New Concepts in Technical Trading Systems, along with other TA indicators, such as the Parabolic SAR, the Average True Range (ATR), and the Average Directional Index (ADX).
Before becoming a technical analyst, Wilder worked as a mechanical engineer and real estate developer. He started trading stocks around 1972 but wasn't very successful. A few years later, Wilder compiled his trading research and experience into mathematical formulas and indicators that were later adopted by many traders around the world. The book was produced in only six months, and despite dating back to the 1970s, it is still a reference to many chartists and traders today.
2. How does the RSI indicator work?
By default, the RSI measures the changes in an asset's price over 14 periods (14 days on daily charts, 14 hours on hourly charts, and so on). The formula divides the average gain the price has had over that time by the average loss it has sustained and then plots data on a scale from 0 to 100.
As mentioned, the RSI is a momentum indicator, which is a type of technical trading tool that measures the rate at which the price (or data) is changing. When momentum increases and the price is rising, it indicates that the stock is being actively bought in the market. If momentum increases to the downside, it is a sign that the selling pressure is increasing.
The RSI is also an oscillating indicator that makes it easier for traders to spot overbought or oversold market conditions. It evaluates the asset price on a scale of 0 to 100, considering the 14 periods. While an RSI score of 30 or less suggests that the asset is probably close to its bottom (oversold), a measurement above 70 indicates that the asset price is probably near its high (overbought) for that period.
Although the default settings for RSI is 14 periods, traders may choose to modify it in order to increase sensitivity (fewer periods) or decrease sensitivity (more periods). Therefore, a 7-day RSI is more sensitive to price movements than one that considers 21 days. Moreover, short-term trading setups may adjust the RSI indicator to consider 20 and 80 as oversold and overbought levels (instead of 30 and 70), so it is less likely to provide false signals.
3. How to use RSI based on divergences
Besides the RSI scores of 30 and 70 - which may suggest potentially oversold and overbought market conditions - traders also make use of the RSI to try and predict trend reversals or to spot support and resistance levels. Such an approach is based on the so-called bullish and bearish divergences.
A bullish divergence is a condition where the price and the RSI scores move in opposite directions. So, the RSI score rises and creates higher lows while the price falls, creating lower lows. This is called a "bullish" divergence and indicates that the buying force is getting stronger despite the price downtrend.
In contrast, bearish divergences may indicate that despite a rise in price, the market is losing momentum. Therefore, the RSI score drops and creates lower highs while the asset price increases and creates higher highs.
Keep in mind, however, that RSI divergences are not that reliable during strong market trends. This means that a strong downtrend may present many bullish divergences before the actual bottom is finally reached. Because of that, RSI divergences are better suited for less volatile markets (with sideways movements or subtle trends).
You have use tool filter coin with value of RSI (4h, 12h, 1day, 1week) :
Closing thoughts
There are several important factors to consider when using the Relative Strength Index indicator, such as the settings, the score (30 and 70), and the bullish/bearish divergences. However, one should always keep in mind that no technical indicator is 100% efficient - especially if it is used alone. Therefore, traders should consider using the RSI indicator along with other indicators in order to avoid false signals
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