Moving average

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    Moving average
    Details of Moving Average

    *Asalam o alaikum* members,
    The moving average (MA) is a simple technical analysis tool that smooths out price data by creating a constantly updated average price. The average is taken over a specific period of time, like 10 days, 20 minutes, 30 weeks or any time period the trader chooses.When it comes to the period and the length, there are usually 3 specific moving averages you should think about using:9 or 10 period: Very popular and extremely fast-moving. ...21 period: Medium-term and the most accurate moving average.Moving averages are without a doubt the most popular trading tools. Moving averages are great if you know how to use them but most traders, however, make some fatal mistakes when it comes to trading with moving averages. In this article, I show you what you need to know when it comes to choosing the type and the length of the perfect moving average and the 3 ways how to use moving averages when making trading decisions.
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    What are the 3 moving averages?

    Types of Moving Averages

    Simple moving averages apply equal weight to all data points. Exponential and weighted averages apply more weight to recent data points. Triangular averages apply more weight to data in the middle of the moving average period.

    What is a good moving average?
    EMA or SMA
    ?
    At the beginning, all traders ask the same questions, whether they should use the EMA (exponential moving average) or the SMA (simple/smoothed moving average). The differences between the two are usually subtle, but the choice of the moving average can make a big impact on your trading.

    What is the differences between EMA and SMA?

    There is really only one difference when it comes to EMA vs. SMA and it’s speed. The EMA moves much faster and it changes its direction earlier than the SMA. The EMA gives more weight to the most recent price action which means that when price changes direction, the EMA recognizes this sooner, while the SMA takes longer to turn when price turns.
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    Keywords

    In the end, it comes down to what you feel comfortable with and what your trading style is (see next points). The EMA gives you more and earlier signals, but it also gives you more false and premature signals. The SMA provides less and later signals, but also less wrong signals during volatile times.In my trading, I use an SMA because it allows me to stay in trades longer as a swing trader.

    Pros and cons
    The Bottom Line. The advantage of the simple moving average is that the indicator is smoothed and, compared to the EMA, less prone to a lot of false signals. The drawback is that some of the data used to compute the moving average might be old or stale.
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  • #2 Collapse

    Moving Average: Ek Tafheem

    I. Muqaddima


    Moving average (MA) ek ahem statistic tool hai jo waqt ke sath data ke trends aur patterns ko samajhne mein madadgar hota hai. Ye aam tor par financial analysis, economics aur data science mein istemal hota hai. Is maqale mein hum moving average ke mukhtalif pehluon par roshni dalenge.
    II. Moving Average Kya Hai?


    Moving average ek calculation hai jo kisi bhi data set ki average value ko nikalne ka tariqa hai, jo waqt ke sath tabdeel hoti rehti hai. Ye calculation aise hoti hai ke pichle kuch periods ki values ka average liya jata hai, jis se short-term fluctuations khatam ho jate hain aur long-term trends nazar aate hain.
    III. Moving Average Ki Types


    Moving average ki mukhtalif types hain, jismein sab se mashhoor Simple Moving Average (SMA), Exponential Moving Average (EMA) aur Weighted Moving Average (WMA) shamil hain. Har type ka apna unique calculation ka tariqa aur istemal hota hai.
    IV. Simple Moving Average (SMA)


    Simple Moving Average (SMA) mein kisi specific time period ke data points ka simple average liya jata hai. Ye sab se asan aur aam tor par istemal hota hai. Iska formula yeh hai:

    SMA=(P1+P2+...+Pn)nSMA = \frac{(P_1 + P_2 + ... + P_n)}{n}SMA=n(P1​+P2​+...+Pn​)​

    jahan PPP values hain aur nnn unka total number hai.
    V. Exponential Moving Average (EMA)


    Exponential Moving Average (EMA) moving average ki ek aur type hai jo recent data points ko zyada weightage deti hai. Iska formula complex hai, lekin iska faida ye hai ke ye market ki recent trends ko behtar tarike se reflect karta hai.
    VI. Weighted Moving Average (WMA)


    Weighted Moving Average (WMA) mein har data point ko alag weightage di jati hai. Is mein zyada recent data points ko zyada weightage milta hai, isliye ye data ki badalti hui halat ko behtar samajhne mein madadgar hota hai.
    VII. Moving Average Ka Istemal


    Moving averages ka istemal mukhtalif fields mein hota hai. Finance mein, ye stock prices aur market trends ko analyze karne ke liye istemal hota hai. Economics mein, ye GDP growth aur inflation rates ko study karne mein madadgar hota hai.
    VIII. Financial Markets Mein Moving Average


    Financial markets mein moving averages traders ke liye ek powerful tool hain. Ye price movements ki analysis aur buy/sell signals generate karne mein madadgar hote hain. Traders aksar SMA aur EMA ka istemal karte hain taake wo market ki direction ka andaza laga sakein.
    IX. Moving Average Crossovers


    Moving average crossovers ek important concept hain jahan do different moving averages ek dusre ko cross karte hain. Jab short-term moving average long-term moving average ko upar se cross karta hai, to ye bullish signal hota hai, jab ke neeche se cross karna bearish signal hota hai.
    X. Moving Average Aur Volatility


    Moving average ke zariye volatility ko bhi analyze kiya ja sakta hai. Jab price movements moving average se door ho jate hain, to ye market ki volatility ko darshata hai. Is tarah traders ko market ki stability ya instability ka andaza hota hai.
    XI. Limitations of Moving Average


    Har tool ki tarah, moving averages ke bhi kuch limitations hain. Ye lagging indicators hain, matlab ye market ki halat ko peechay se analyze karte hain. Is wajah se kabhi kabhi timely signals nahi milte.
    XII. Conclusion


    Moving average ek ahem tool hai jo data analysis aur financial decision-making mein madadgar hota hai. Iska istemal markets mein signals aur trends samajhne ke liye hota hai, lekin iski limitations ko bhi samajhna zaroori hai.
    XIII. Future of Moving Averages


    Aane wale waqt mein, moving averages ka istemal aur bhi barh sakta hai, khas taur par machine learning aur AI ke integration ke sath. Ye technology moving averages ko aur behtar aur relevant bana sakti hai.
    XIV. Aakhri Khatam


    Moving averages ka samajhna aur unka istemal seekhna har data analyst aur trader ke liye zaroori hai. Ye ek powerful tool hai jo markets ki halat ko samajhne aur behtar decisions lene mein madadgar hota hai.

    اب آن لائن

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