The Fusion Media Network:
    July 29, 2010
     
     
    home
     Charts
     Technical
     Analysis
     News
     Live Events
     Forums

    Futures Moving Averages

    This table shows “Simple Moving Average” data for all the major Futures. The “Moving Average” indicator is calculated by adding all closing prices over a certain period of days and dividing them by the durations on the drop down list. The table below gives data and buy sell signals based on up to 200 days history. You can select how smooth the “Moving Average” by selecting the time in the drop-down list- the shorter the period of time the more detailed the indicator.

    Futures Tools

    Futures Brokers

    		  

    • Futures Moving Averages - Futures

    Futures
     
     
    SimpleExponential 
    Timeframe:    
    NameSMA5SMA10SMA20SMA50SMA100SMA200
    Copper3.28
    Buy    		3.28
    Buy    		3.28
    Buy    		3.28
    Sell    		3.28
    Sell    		3.28
    Buy
    Crude Oil78.23
    Buy    		78.25
    Sell    		78.28
    Sell    		78.31
    Sell    		78.23
    Buy    		77.74
    Buy
    Gold1168.09
    Buy    		1167.74
    Buy    		1168
    Buy    		1168.64
    Buy    		1167.44
    Buy    		1166.74
    Buy
    Natural Gas4.83
    Buy    		4.83
    Buy    		4.83
    Buy    		4.83
    Buy    		4.81
    Buy    		4.78
    Buy
    Silver17.55
    Buy    		17.55
    Buy    		17.58
    Sell    		17.6
    Sell    		17.6
    Sell    		17.6
    Sell
    US Wheat631.45
    Buy    		630.9
    Buy    		628.98
    Buy    		626.64
    Buy    		624.57
    Buy    		621.22
    Buy

    Moving Averages Info
    In technical analysis there are various popular values for n, like 10 days, 40 days, or 200 days. The period selected depends on the kind of movement one is concentrating on, such as short, intermediate, or long term. In any case moving average levels are interpreted as support in a rising market, or resistance in a falling market. In all cases a moving average lags behind the latest data point, simply from the nature of its smoothing. An SMA can lag to an undesirable extent, and can be disproportionately influenced by old data points dropping out of the average. This is addressed by giving extra weight to more recent data points, as in the weighted and exponential moving averages. One characteristic of the SMA is that if the data have a periodic fluctuation, then applying an SMA of that period will eliminate that variation (the average always containing one complete cycle). But a perfectly regular cycle is rarely encountered in economics or finance.

    Disclaimer:
    Fusion Media would like to remind you that the data contained in this website is not necessarily real-time nor accurate. All stock prices, indexes, futures and Forex prices are not provided by exchanges but rather by market makers, and so prices may not be accurate and may differ from the actual market price, meaning prices are indicative and not appropriate for trading purposes. Therefore Fusion Media doesn’t bear any responsibility for any trading losses you might incur as a result of using this data .

    Fusion Media or anyone involved with Fusion Media will not accept any liability for loss or damage as a result of reliance on the information including data, quotes, charts and buy/sell signals contained within this website. Please be fully informed regarding the risks and costs associated with trading the financial markets, it is one of the riskiest investment forms possible.

    • Sponsored Links


    • No Commissions, Fast Execution
      High Leverage, $200 Bonus, 24/7

    • Trade Directly From Charts. Easy
      To Use Platform. 100:1 Leverage.

    • Let expert trading strategies work for you! Chose the top performing system you want and start making great returns. It's free!
     
     

    Special Offers: