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Quotes and Calculators
Indexes Technical Analisys Advance Decline Volume Indicators Price Indicators Emini Quotes |
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S&P 500 Index (^SPX)
S&P 500 Technical AnalysisPrice Based Technical AnalysisS&P 500 Index (^SPX) Exponential Moving Averages Analysis
* In technical analysis, a
Moving Average
is considered to be bullish when it moves below the price trend. Conversely,
a Moving Average is considered to be Bearish when it moves above the price trend. S&P 500 Index (^SPX) MACD(12,26) Analysis
* In technical analysis, the
MACD is
considered to be bullish when it moves above the Signals Line. Conversely,
the MACD is considered to be Bearish when it moves below the Signal Line. S&P 500 Index (^SPX) Stochastics Analysis
* In technical analysis,
Stochastics
is considered to be bullish when it moves above 80%. Conversely, Stochastics
is considered to be Bearish when it moves below 20%. S&P 500 Index (^SPX) RSI (Relative Strength Index) Analysis
* In technical analysis,
RSI is
considered to be bullish when it moves above 70%. Conversely, it is
considered to be Bearish when it moves below 30%. |
Check other S&P 500 Index (^SPX) Index quotes | |||
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> SPX TRIN |
> SPX MACD > SPX RSI | ||
Note: Please bear in mind that the S&P 500 Index (^SPX) indicator setting used in the S&P 500 quotes table above is one of the commonly used. However, this indicator setting may not necessarily work for all traders or be good in different markets. We recommend that you use our S&P 500 charts and check various indicator settings before using it in a real market for a trading decision. At the same time, we recommend that you consult S&P 500 volatility indicators to define the current market stage and adjust the S&P 500 indicator setting accordingly.
Moving averages are one
of the simplest and most commonly used use tools available to the technical
analyst. They are used not only to analyze a trend, but also as a foundation
stone in more complex technical indicators. In almost any technical indicator
you will find that the moving averages are used to smooth data and draw signal
lines. Moving averages could be called the most important tool in technical
analysis.
There are two types of moving averages - simple moving average and exponential
moving average. A simple moving average is calculated as the sum of the price
values over a specified period of time (a specified number of bars) divided by
the number of bars in that period. An exponential
moving average can be
calculated as a percent-based EMA or as a period-based EMA. The formula for an
exponential moving average is:
Current EMA = ( (Current Price - Previous EMA ) x Multiplier) + Previous EMA
MACD is one of the most frequently used indicators in technical analysis and is calculated as the difference between two exponential moving averages (EMA) applied to the close price:
MACD = Fast Exponential Moving Average - Slow Exponential Moving Average
A MACD signal line (or trigger line) is then formed by applying exponential or simple moving average to the MACD line.
MACD Signal = MA applied to MACD
The difference between the MACD and the MACD signal line forms the MACD Histogram.
MACD Histogram = MACD - MACD Signal Line.
Stochastics measures the relationship between a price and a price range over a specified period of time. Stochastics is formed by the Raw Stochastics Line, the %K line (Fast Stochastics), and it is the %D line (Slow Stochastics). The Raw Stochastics value is calculated by the following formula:
Raw Stochastics = 100 [(C - L14) / (H14 - L14)]
A 3-period moving average is applied to Raw Stochastics to form %K (fast Stochastics). Still, Fast Stochastics can be very volatile and another 3-period moving average is applied to %K to form %D (Slow Stochastics).
The Relative Strength Index (RSI) is one of the most popular momentum oscillators in technical analysis. The RSI compares recent gains to recent losses. The RSI is calculated by the following formula:
RSI = 100 - 100 / (1 + RS)
where RS stands for Relative Strength and is calculated as the ratio of average gains to average losses. The average gain is calculated as the sum of the gains in winning periods divided by the total number of periods. The average loss is calculated as the sum of the losses in losing periods divided by the total number of periods.
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