MTF Stoch

EasyCoder

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May 28, 2024
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Introduction​


As an experienced trader and programmer from the EASY Trading Team, I'd like to share some real-life cases of how the MTF Stoch trading robot has been performing in the market. We'll analyze successful and unsuccessful trades made with this robot and provide insights into the reasons behind these outcomes. Additionally, user comments on their experiences with the robot will be included. We also encourage readers to share their own cases on our forum. Detailed statistics are available on the website at this link.

Examples of Successful Trades​


One notable success story comes from a user who reported a consistent 15% monthly return over six months using the MTF Stoch robot. This user employed the robot on EUR/USD and GBP/USD pairs, leveraging its multi-time frame data to make informed decisions. By aligning entry points with larger trend directions, the robot optimized the user's trading strategy, significantly reducing drawdowns.

Case Study 1:

- Pair: EUR/USD
- Initial Investment: $10,000
- Total Profit: $1,500 per month
- Duration: 6 months
- Strategy: Multi-time frame alignment for trend confirmation

Comment: 'The robot's ability to analyze multiple time frames helped me identify more reliable entry points, and this drastically improved my trading outcomes.'

Examples of Unsuccessful Trades​


Not all users have experienced the same level of success. One user reported a series of losses amounting to a 10% reduction in their account balance within two weeks. This user noted that the robot struggled during periods of high volatility, leading to less accurate predictions and subsequent losses.

Case Study 2:

- Pair: GBP/USD
- Initial Investment: $5,000
- Total Loss: $500 over two weeks
- Strategy: Short-term trades during volatile market conditions

Comment: 'The robot seemed less effective during volatile market conditions, resulting in several losing trades.'

Analysis of Reasons​


The successes and failures of the MTF Stoch robot can be attributed to several key factors:

Success Factors:
1. **Multi-Time Frame Analysis:** Users who utilized the robot's multi-time frame capabilities saw better alignment with market trends.
2. **Stable Market Conditions:** The robot performed well during stable market periods with predictable trends.

Failure Factors:
1. **High Volatility:** The robot struggled during volatile market conditions, leading to inaccurate predictions.
2. **Short-Term Trading:** Users aiming for short-term gains experienced more losses compared to those with longer-term strategies.

Conclusion​


The MTF Stoch robot has shown potential for both successful and unsuccessful trades, largely depending on market conditions and user strategies. It is clear that understanding the robot's strengths and limitations is crucial for optimizing its performance.

Source Code of MTF Stoch​


It's important to note that the original source code of the MTF Stoch robot sold on MQL5 is not publicly available. However, based on the algorithm description provided on MQL5, we have created a similar version of the robot.

For those interested, you can find an example of this code on our site at MTF Stoch Review: Optimize Forex with Multi-Time Frame Data. If you have any questions about the code, feel free to ask on our forum.

Code:
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Download MTF Stoch - Example Code Available on EasyTradingForum.com​


For users looking to download an example of the MTF Stoch robot, please note that our team at EASY Trading Team does not sell the original MTF Stoch robot. However, we have created a version based on its description, which you can access through our forum. This example code will help you understand the mechanics and potentially customize it for your own trading needs. Visit our detailed review page for more information.

We encourage all traders to share their experiences and strategies on the forum to collectively improve our trading outcomes!
 

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