Introduction to Parabolic SAR and Stochastic Oscillator Expert Advisor (00:00 - 00:10)
Introduction to creating an Expert Advisor using the Parabolic SAR and Stochastic Oscillator indicators.
Starting with MetaEditor (00:10 - 00:25)
Instructions on opening MetaEditor and beginning the coding process.
Setting Up Trading Functions and Price Calculation (00:25 - 00:57)
Importing the Trade.mqh library and setting up trading functions, along with calculating the current asking and bid prices.
Initializing Price Data Array (00:57 - 01:21)
Setting up and sorting the Price Info array to store price data.
Filling the Price Array and Determining Candle Prices (01:21 - 01:47)
Filling the price array with data and determining the closing price of the most recent candle.
Implementing Parabolic SAR Indicator for Signals (01:47 - 02:17)
Using the Parabolic SAR indicator to check for buy or sell signals.
Refining Signals with Stochastic Oscillator (02:17 - 02:38)
Using the Stochastic Oscillator to refine trading signals.
Executing Trades Based on Combined Signals (02:38 - 02:57)
Decision-making process for executing buy or sell trades based on combined signals.
Compiling the Code and Further Learning Resources (02:57 - 03:18)
Compiling the code and suggestions for further learning through a premium course or basic videos.
Testing the Expert Advisor in MetaTrader (03:18 - 03:38)
Instructions for returning to MetaTrader and starting a strategy test with the newly created Expert Advisor.
Conclusion and Invitation for Premium Course Members (03:38 - 03:53)
Conclusion of the tutorial and an invitation for premium course members to suggest video ideas.
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In this video, we are going to create an Expert Advisor that uses the Parabolic SAR and Stochastic Oscillator indicators to generate buy and sell signals in MetaTrader. Let's see how we can do that.
First, start the MetaEditor. You can do this by clicking on its icon or simply pressing the F4 key.
We begin with the #include directive to import the Trade.mqh library. This library provides us with essential trading functions. Following this, we create an instance of the CTrade class named trade. This instance will be our primary tool for executing buy and sell orders.
Next, we calculate the current asking price using the Symbol Info Double function with the parameters Symbol and SYMBOL ASK. This gives us the price at which we can buy. To ensure precision, we use the Normalize Double function, inputting the price and Digits to adjust the number of decimal places.
Similarly, we determine the bid price using the Symbol Info Double function with the parameters Symbol and SYMBOL BID. This is the price at which we can sell. This price is also normalized using the Normalize Double function.
We then set up an array named Price Info of type Mql Rates. This array will store our price data for specific time periods on the chart.
Within the On Tick function, we sort our Price Info array using the Array Set As Series function to prioritize the latest data. We then fill this array with price data for the current symbol and time frame using the Copy Rates function. Here, we're copying data for three candles, giving us a snapshot of recent price movements.
The closing price of the most recent candle is then determined using the Price Info[0].close reference.
We then call the Check Entry function. Inside this function, we use the Parabolic SAR indicator to check the current and previous values to determine if there's a buy or sell signal. If the current SAR value is below the current price and the previous SAR value was above the previous price, it suggests a buy signal. Conversely, if the current SAR value is above the current price and the previous SAR value was below the previous price, it suggests a sell signal.
Additionally, the Check Entry Stochastic function is used to refine our signals. This function checks the Stochastic Oscillator values. If the K line crosses the D line from below in an oversold area, it suggests a buy signal. If the K line crosses the D line from above in an overbought area, it suggests a sell signal.
With these signals in hand, the code decides whether to execute a buy or sell trade. If both the trading signal and the filter signal return a buy and there are no open positions, the trade.Buy function is used to buy 0.10, equivalent to 10 Micro Lot. If both signals return a sell, the trade.Sell function is used to sell 0.10 Microlot.
