Category Trend  Published on 30/04/2024

2Crossing Stochastics Trading Strategy By Luis | 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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The proposed trading strategy is based on the use of the stochastic indicator, the peculiarity of this strategy is the use of the stochastic indicator in two different configurations, which we will call stochastic 1 and stochastic 2, to generate market entry and exit signals.

Customizable Parameters:

All stochastic indicator parameters and lot size are parameterizable within cTrader.
Entry Buy: Occurs when both stochastic indicators (stochastic 1 and stochastic 2) meet the following conditions simultaneously:
-Stochastic 1 (%K and %D) is below the 50 line and %K crosses above %D.
-Stochastic 2 is above the 80 line.
-A bullish candle is formed, confirming the buy signal.
Entry Sell: Occurs when both stochastic indicators (stochastic 1 and stochastic 2) meet the following conditions simultaneously:
-Stochastic 1 (%K and %D) is above the 50 line and %K crosses below %D.
-Stochastic 2 is below the 80 line.
-A bearish candle is formed, confirming the sell signal.

Risk Management:
-Stop Loss: The position is protected by a stop loss order placed at the level of the low/high of the previous candle, depending on the direction of the trade (Long or Short).
-Take Profit: The take profit is set at 4 times the value of the stop loss.


This strategy aims to exploit potential trend reversals in the financial market by using signals generated by two configurations of the stochastic indicator in combination with candlestick analysis. It is important to test and optimize the strategy on historical data before using it in real trading and adapt it to your own preferences and market conditions.

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: 2Stoch.algo
  • Rating: 5
  • Installs: 156
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