Codici sorgente MQL5 di Indicatori Tecnici per MetaTrader 5 - 54

In addition to the usual parameters that are controlling the way Kaufman AMA is calculated, this version has adjustable smoothing and filter that can eliminate insignificant AMA changes.

This indicator shows Bulls and Bears power in the same indicator subwindow.

Kaufman AMA MACD is the MACD built exclusively using Kaufman AMA (even signal line is using that). That way this is a completely adaptive MACD (bearing in mind that Kaufman AMA is adaptive Moving Average).

The Price Channel Stop indicator shows the current estimated trend based on channel period and desired risk. It also shows two levels of values that can be used as a stop loss for orders opened based on this indicator (using the trend color change can be used as a signal for a new order opening as well as closing already opened orders).

In the Smoother Momentum Stops indicator the stops are calculated using the smoother momentum and the direction of the stops is determined based on the smoother momentum.

"Sadukey" indicator is an indicator combining two digital filters on a chart to give us an assessment of current trend.

Smoother momentum is one of the possible ways to solve the main issue of the Momentum indicator - the values it displays are far from being smooth, and that can cause a lot of false signals in a lot of cases - regardless of the calculation period that is used.

This indicator is a MetaTrader 5 version of nonlinear regression. Nonlinear regression is very "fast" when responding to sudden market changes so the default calculation period is set to somewhat longer period than it is usual for similar type indicator. Because of that some experimenting with period is advised based on your trading strategy and trading style.

MACD High/Low uses the highest high and lowest low of MACD (nnn) bars back to calculate a sort of dynamically changed zero line, early levels up and down and trend confirmation levels up and down. By adding these non-fixed levels, the MACD becomes faster in response to market changes and the MACD trend assessment has less false signals.

Asymmetric bands indicator is one of the ways to avoid a lag when there is a trend reversal (since the opposite side band is too far from the current price).

This version of Synthetic RSI is using Ehlers smoothed RSI in calculation instead of using "regular" RSI and that makes the resulting synthetic RSI even smoother.

Instead of using one RSI, the Synthetic RSI indicator is using 3 instances of RSI. Those 3 instances of RSI are then used to calculate the "synthetic" value (that is not an average of the 3 since the calculation differs from an average).

The Composite Index was developed to solve the divergence failure problem in the RSI, but its ability to provide specific horizontal levels of support within the indicator adds to its value. The Composite Index takes the normalized formula of RSI and removes the normalization range restrictions. The formula for the Composite Index uses an embedded momentum calculation with a short-term RSI smoothed.

This version of Polychromatic Momentum is using double smoothed EMA for smoothing. DSEMA has been proven for producing very good smooth results with a lag that is almost non-existent, hence, in combination with it, the Polychromatic Momentum indicator becomes much more usable when it comes to signals.

Polychromatic momentum takes an weighted average of all significant lookback periods for the tradable.

Two lines representing positive and negative directional movement. These will intersect and cross during a change of trend and diverge wider and wider as the strength of the trend increases.

This indicator is using filtered prices for RSI (instead of using "raw" prices) and is using Discontinued Signal Line for trend assessment (instead of using slope or fixed levels).

Hull average is used prior to stochastic calculation thus filtering the prices before they are used in the stochastic calculation. This method is used since it adds much less lag than if the smoothing of the already calculated stochastic value would be used.

This version uses double smoothed EMA instead of using Hull average, and since double smoothed EMA is never overshooting, that issue is solved. Being a very smooth average too, double smoothed EMA is really a good filter/average to be used in the "triple" series.

Unlike the similar attempts of smoothing existing indicators, the Double smoothed EMA indicator is not lagging when compared to "regular" EMA.

Glitch Index represents the percentage move price has made above or below the detrended SMA.

The Congestion Index attempts to identify the market's character by dividing the actual percentage that the market has changed in the past x days by the extreme range.

Chande Momentum Oscillator with added Discontinued Signal Lines instead of using static levels for trends displayed on the main chart as bars (if the current chart style is bars or line) or candles (it is done automatically).

Chande Momentum Oscillator with added Discontinued Signal Lines instead of using static levels for trends.

Unlike the original Schaff Trend Cycle, this version is using TEMA MACD for calculation, which makes it "faster" in determining (even compared to DEMA version) the trend changes and thus producing signals a few bars earlier.

Unlike the original Schaff Trend Cycle, this version is using DEMA MACD for calculation, which makes it "faster" in determining the trend changes and thus producing signals a few bars earlier (which can be significant in "scalping" systems).

Indicator based on Hull Moving Average.

Rsi(var) indicator with zero lag DEMA.

Rsi(var) indicator with zero lag Moving Average.

This indicator uses TEMA calculation mode in order to make the lag lesser compared to the original Zero lag MA, and that makes this version even faster than the Zero lag DEMA too.

This indicator uses DEMA calculation mode in order to make the lag lesser compared to the original Zero lag MA, and that makes this version faster.

According to creators, the ZeroLAG MA indicator is a Moving Average with zero delay. If we agree or not, does not matter since, compared to some "regular" Moving Averages the lag it has is significantly lower, so it can be used in any system where less lag is of great importance.

The Relative Strength Index (RSI) is a momentum indicator developed by noted technical analyst Welles Wilder, that compares the magnitude of recent gains and losses over a specified time period to measure speed and change of price movements of a security. It is primarily used to attempt to identify overbought or oversold conditions in the trading of an asset.

The indicator is using 3 instances of Hull Moving Average.

The RSI bands indicator helps in multiple ways, but mainly in visualizing on the main chart what price change would trigger the expected overbought or oversold signals.

This version of Stochastic RSI uses a sort of a signal line to make it even more sensitive.

The Schaff Trend Cycle (STC) indicator detects up and down trends long before the MACD. It does this by using the same Exponential Moving Averages (EMAs), but adds a cycle component to factor currency cycle trends. Since currency cycle trends move based on a certain amount of days, this is factored into the equation of the STC indicator to give more accuracy and reliability than the MACD.

This is a MACD that can use average for input price instead of using "pure" price. That can help in filtering some false signals, but the main purpose of this code is to show how simple some things can be done using MetaTrader 5. In addition to all usual options when it comes to this type of indicators, option to have color changes based on MACD slope change or MACD crossing signal line.

A very well known RSI of average is made with, all in all, 3 lines of a code in a main loop (color assignment on RSI slope change included in those 4 lines). This one can be used as template for some other indicator and can provide a simplicity solution for those that think that everything is very complicated in MetaTrader 5.

This version of Stochastic Oscillator reduces the number of false alerts by smoothing the price prior to be used in the stochastic calculation. That makes a nice smooth stochastic as a result that can easily be used for trend trading systems.