Category Range  Published on 29/04/2024

MACD-EMA Momentum Play | NoCoding |with AlgoBuilderX

An update for this algorithm is currently pending moderation. Please revisit this page shortly to access the algorithm's latest version.
Description

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MACD-EMA Momentum Play

This sophisticated strategy that combines the MACD (Moving Average Convergence Divergence) indicator, the EMA (Exponential Moving Average) indicator, a time filter, and the martingale strategy, with the possibility of opening multiple positions based on the value of the MACD.

This strategy can be implemented on cTrader with customizable parameters to suit specific needs. By using the MACD, you identify moments when the market trend could reverse or accelerate, while the EMA provides an assessment of the general price direction over time.
The time filter is integrated to determine the best times to enter or exit the market, ensuring optimal trading conditions.
Additionally, the strategy employs the martingale, which involves increasing position size after a loss, aiming to recover previous losses and achieve a profit.
Entry conditions for buying require the MACD value to be lower than the MACD1 value and the price to be below the EMA.
For sales, the MACD value must be higher than the MACD1 value and the price must be above the EMA.
Another interesting aspect of your strategy is the ability to open additional positions if the MACD2 value is activated, providing greater flexibility in managing operations.

 

If you want to buy the .algo and .abx of this cBot CLICK HERE
If you would like to try AlgoBuilderX: CLICK HERE

To create the cBot I invite you to watch this video I made on youtube: 

 

Please note that this is only an example and the cBot has not been optimised, I recommend you test it first in Demo 


The author decided to hide the source code.
DR
Drag.Drop.Build

Joined on 26.01.2024

  • Distribution: Free
  • Language: C#
  • Trading platform: cTrader Automate
  • File name: MACD-EMA Momentum PLay.algo
  • Rating: 0
  • Installs: 387
  • Modified: 29/04/2024 11:07
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