The EA implements a reversal strategy which uses the analysis of prices databases of ENUM_APPLIED_PRICE type for generating signals. Statistical observations of the price databases of different timeframes allows to make an assumption about a possible vector of price movement. The probability of such an event is shown as scale and as a percentage. The functionality of the trade panel allows sending requests for the broker to execute trading operations. This EA uses market orders. You can addition
Trade Channel Indicator DCMV The DCMV Indicator calculates the following Channel characteristics: Channel Bounds (for TP and SL). It's assumed that price will never go outside the channel. Center Line of the Channel. Settlement price (with probability 90% the price will return to this line). Reference line (used for detection of trend). Upper and Lower break border . Used for generation of trade signals: channel breakout (trend strategies), false breakouts (flat strategies). Usage: The indicator
Generator of trade signals based on the DCMV indicator is perfect for creating robots, as the generator has a high operating speed and minimum CPU usage. It has only one indicator buffer: if its value is 0 on the current bar, then there are no trade signals; if the value is greater than 1, then a Buy signal is formed; if the value is less than -1, then a Sell signal is formed. Two DCMV indicators of trade channels are used for generating the signals. The first one identifies the trends (Buy or S
Emission of DCMV indicator Visualization of crossing of typical lines of the DCMV indicator allows you to see a picture of the market environment of the price. Emission can forecast and confirm forecasts, draw the support and resistance zones, show the intensity of the price movement. Many regularities of price changes are exposed to trader when using this technology. Defining market behavior. Searching support and resistance zones. Forecasting typical levels. Detecting trend changes in advance.
Quantum frequency The indicator calculates the quantum frequencies using the current market data. The quantum frequencies are used in Spectrum analysis of automated trading systems to create quantum filters for selecting signals, i.e. skipping trades that are likely to be unprofitable.
How It Works It analyses the trade results of automated trading system for each frequency (512 frequencies are used). Calculation of the frequency response to search for "profitable" and "unprofitable" frequenci
Integrated Moving Average (IMA) It's an essential tool for a trader. It's the first analyzer based on the emission method [ 1 , 2 ]. Simple, reliable and easy to use even for a novice investor. In addition, the emission method allows forecasting a trajectory of the probable price movement! Your trading on financial markets will become more intelligent and risks will decrease. Instructions The forecast curve of the moving average movement LMAF (Line Moving Average Forecast) show the future price
Environment to visually design and construct interface windows. The implementation of the interactive windows is based on the usage of the MasterWindows library classes. The designing technology is described in the article "MQL for "Dummies": How to Design and Construct Object Classes" . There is also a demonstration version of the offered MasterWindows for MQL5 designer. The panel for controlling the visual design process is simple and intuitive, which greatly simplifies the creation of interac
DCMV Trade Channel Oscillator The indicator calculates the values of DCMV trade channel oscillator: Trade channel width. The value of trade channel depends on the trend (it increases at start of the trend and has the maximum values at end of the trend). The value of trade channel decreases at flat movement. The lowest values of channel width indicates the high probability of the very strong price movement.
The +DC line shows the "bulls" power. The -DC line shows the "bears" power. The value of
The indicator uses the values of the standard iBands indicator as the source data. Bollinger Bands are constructed based on extended Fibonacci levels. The number of standard deviations given in the initial data is used as the basis for the calculation of levels. In addition, selecting an appropriate Fibonacci level, the indicator will show the buy area (blue) and sell area (red). Signals are generated after an appropriate Fibonacci level is broken, and are displayed on the indicator's middle lin
The EA implements the reversal strategy using the DCMV trading channel indicator. After the first trade, the EA constantly remains in the market. The middle and reference lines of the indicator are compared to define the trade direction. Channel breakout serves as the market breakout point. The lower breakout border is analyzed for BUY market orders, while the higher one is analyzed for SELL ones.
Inputs: input int DCMV_diapason_SLOW= 400 ; // Number of bars, used in calculation of DCMV
This trading strategy is based on channel trading with position reversals at the borders and is designed using the standard iBands indicator. When a channel is broken, a position is opened in the direction opposite to the price movement. If the upper boundary of the channel is broken upwards, then a Sell position is opened, and if the lower one is broken, a Buy position is opened.
Input parameters on_lot - use fixed lot; Lot - fixed lot size; lot_perc - lot size as a percentage of equity; t