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  1. RSI Histogram 2 - indicator for MetaTrader 5

    by , 10-06-2021 at 01:48 PM
    RSI Histogram 2 - indicator for MetaTrader 5

    Name:  fb-m15-just2trade-online-ltd.png
Views: 144
Size:  11.8 KB

    Indicator idea:
    Display the iRSI (Relative Strength Index, RSI) indicator as a colored histogram, and apply the colors as iAO (Awesome Oscillator, AO). The histogram is plotted around the '50' level
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  2. Commodity Channel Index (CCI) Explained

    by , 09-18-2021 at 01:05 PM
    Commodity Channel Index (CCI) Explained


    The Commodity Channel Index (CCI) is a technical indicator that can help investors decide when they might buy or sell stocks and other securities.
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    CCIOnMA Four Colors - indicator for MetaTrader 5

    Name:  brentcrud-d1-fx-choice-limited.png
Views: 114
Size:  17.2 KB

    Name:  brentcrud-m1-fx-choice-limited.png
Views: 139
Size:  17.5 KB
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  3. Half Trend indicator

    by , 08-25-2021 at 05:34 PM
    Half Trend - indicator for MetaTrader 5

    Name:  eurusd-d1-just2trade-online-ltd.png
Views: 207
Size:  19.5 KB

    Name:  eurusd-m15-just2trade-online-ltd.png
Views: 294
Size:  22.7 KB

    Name:  eurusd-h1-just2trade-online-ltd-2.png
Views: 265
Size:  19.1 KB

    Change of trend is indicated by arrows (' UpArrow_ ' and ' DnArrow_ ')
  4. RSI Arrow Out of Zone iMA Trend Visualization

    by , 08-21-2021 at 05:50 PM
    RSI Arrow Out of Zone iMA Trend Visualization - indicator for MetaTrader 5

    Name:  nzdusd-c-h4-just2trade-online-ltd.png
Views: 235
Size:  21.6 KB

    Modification of the RSI Arrow Out of Zone iMA Trend indicator - added the 'Use indicators visualization' parameter: when set to 'true' (if the indicator is running in visual debugging mode or online), iMA and iRSI indicators will be displayed on the chart.
  5. Two forex trading newbies talking with each other

    by , 08-19-2021 at 05:57 PM
    Two traders are talking (taken from this mql5 thread):

    Consider a linear regression model xi = a + b * i + ei in time i = 1, 2, ..., n, where the errors ei are white noise with the Laplace distribution. The error density then has the form p (x, c) = 0.5 * c * exp (-c * | x |), log (p (x, c)) = log (0.5) + log (c) -c * | x |

    The likelihood function for the noise will have the form L = p (d1, c) * p (d2, c) * ... * p (dn, c), where di = xi-ab * i are the residuals of
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