Moving Average Crossover Strategy based Expert Advisor

taseee

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This expert advisor strategy is based on moving average crossover strategy. It buys when the short-term moving average crosses above the long-term moving average, and sells when the short-term moving average crosses below the long-term moving average.

The specific moving averages used in the strategy are not specified in the code, so you would need to choose those yourself. You would also need to decide on the length of the short-term and long-term moving averages.

In addition to the moving average crossover strategy, the EA also includes some features to stop trading under certain conditions. For example, the EA will stop trading if the account equity falls below a certain level, or if the maximum drawdown reaches a certain level.

The EA also includes some features to manage open trades. For example, the EA can close all trades if the market is closed, or if the EA is stopped by the user.

The overall goal of the EA is to make profits by trading the financial markets. However, it is important to remember that no EA can guarantee profits. There is always a risk of losing money when trading.

Here are some of the key features of the expert advisor strategy:

  • Uses a moving average crossover strategy to identify trading opportunities.
  • Stops trading under certain conditions, such as when the account equity falls below a certain level.
  • Includes features to manage open trades.
  • The overall goal is to make profits by trading the financial markets.
Here are some of the limitations of the expert advisor strategy:

  • The strategy is based on historical data, and there is no guarantee that it will be profitable in the future.
  • The strategy is not immune to market volatility, and there is a risk of losing money.
  • The strategy is complex, and it may be difficult to understand and implement.
Overall, the expert advisor strategy is a moving average crossover strategy with some features to stop trading under certain conditions.
 

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  • HunterEA.zip
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