Szymon Palczynski / 个人资料
- 信息
10+ 年
经验
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39
产品
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406
演示版
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0
工作
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2
信号
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0
订阅者
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The world of grids and martingale.
Innovative solutions for currency markets.
Innovative solutions for currency markets.
![Szymon Palczynski](https://c.mql5.com/avatar/2019/3/5C7BEBB6-459F.jpg)
Szymon Palczynski
Testing a Forex robot in the market is a key step in assessing its effectiveness. There are several stages that can be taken to test a Forex robot:
1. Collecting historical data: The first step in testing a Forex robot is collecting historical data for the currency pairs the robot is intended to trade.
2. Backtesting: After collecting historical data, backtesting is conducted. Backtesting involves evaluating the performance of the algorithm by reviewing historical market data.
3. Forward Testing: After backtesting, forward testing is conducted. Forward testing involves running the algorithm on a demo account to assess its performance in a real-time environment.
4. Optimization: After conducting the tests, the next step is to optimize the robot. Optimization involves identifying and adjusting any issues and adjusting settings based on the test results.
5. Live Trading: After optimization, the robot is ready for live trading.
1. Collecting historical data: The first step in testing a Forex robot is collecting historical data for the currency pairs the robot is intended to trade.
2. Backtesting: After collecting historical data, backtesting is conducted. Backtesting involves evaluating the performance of the algorithm by reviewing historical market data.
3. Forward Testing: After backtesting, forward testing is conducted. Forward testing involves running the algorithm on a demo account to assess its performance in a real-time environment.
4. Optimization: After conducting the tests, the next step is to optimize the robot. Optimization involves identifying and adjusting any issues and adjusting settings based on the test results.
5. Live Trading: After optimization, the robot is ready for live trading.
![](https://c.mql5.com/1/283/PRT2.png)
Szymon Palczynski
已发布产品
Semi-automatic trading, also known as semi-auto trading or semi-algorithmic trading, is a trading approach that combines human decision-making with automated trading systems. In this setup, traders use algorithms and computer programs to assist them in making trading decisions, but the final execution of trades is still controlled by human judgment. Here are some advantages of semi-automatic trading: 1. Speed and Efficiency: Computer algorithms can process vast amounts of data and execute
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![Szymon Palczynski](https://c.mql5.com/avatar/2019/3/5C7BEBB6-459F.jpg)
![Szymon Palczynski](https://c.mql5.com/avatar/2019/3/5C7BEBB6-459F.jpg)
![Szymon Palczynski](https://c.mql5.com/avatar/2019/3/5C7BEBB6-459F.jpg)
![Szymon Palczynski](https://c.mql5.com/avatar/2019/3/5C7BEBB6-459F.jpg)
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