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Many traders often come across the notion of night trading. The first thing that comes to mind when meeting this concept is that trading is carried out at night. However, everything is simpler: because of the difference in time zones, the night in different parts of the world comes at different times. American and European trading sessions take place in time zones -4 and +1 relative to the UTC World Coordinated Time, respectively.

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Too large account drawdown and too much risk on the capital ... how to deal with it?
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Table of Contents

• Foreword
• Assumptions about prices and trading systems
• Yield distributions. General remarks
  
  • Fixed stop loss and take profit
  • Fixed trailing stop
• What's next?
  
  • Statistics and gaps
  • Statistical machine learning
  • Statistics and optimization of the trading system
• Attachments

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Automated trading in financial markets is the ultimate goal of the development of new trading robots, because the market is constantly changing. However, automated trading Expert Advisors cannot be prepared for all situations in the market. Therefore, the most effective way is still the symbiosis of a trading robot and the human control over the automated system operation with necessary adjustments. A good example of such interaction can be found in the Trading Signals service. The service features a selection of trading systems and methods with different risk parameters or trading dynamics. A number of tools can help users find the desired signal. However, the task is to determine the set of parameters suiting different trading styles. A convenient solution is to determine a set of trading signal parameters and their values suitable for risky, moderate and conservative trading styles.

• Introduction
• Model for rating trading signals
• Implementation of the rating tool
• Selection of potentially promising signals
• Conclusions

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The global market is an age-old struggle between sellers and buyers. Sellers want to earn more by selling at a higher price, while buyers are not willing to give their earned money and want to pay a cheaper price. According to the theory of economics, the true price is found at the point of equality of supply and demand. That seems to be true. However, the problem is in the market dynamics, because the volumes of supply and demand are constantly changing.

The struggle results in price fluctuations. These fluctuations form channels, which traders analyze to find market trends. In turn, these movements form fluctuations of a higher order. One of the first signs of trend change is the breakout of a formed price channel.

The very first test showed that the strategy is able to make a profit. The EA performed only 26 trades which resulted in 10 open positions during the tested period. 80% of open positions were closed with profit. This gave a smooth growth of balance. Profit-factor according to the testing results was 4.06. It is a good result.


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In this article, we will consider constructing support and resistance lines. The technical analysis of currency symbols is an important part of trading in financial markets. The automatic construction of these lines will simplify the work of financial analysts and traders accelerating technical analysis. Besides, the indicator described here can be used to develop Expert Advisors.

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Is it possible to work with indicator in MQL5 using MQL4 style?

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The Strategy Tester in the MetaTrader 5 trading platform provides only two optimization options: complete search of parameters and genetic algorithm. This article proposes a new method for optimizing trading strategies — Simulated annealing. The method's algorithm, its implementation and integration into any Expert Advisor are considered here. Next, its performance is tested using the MovingAverage EA, and the results obtained by Simulated annealing method are compared with those of genetic algorithm.


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While working in financial markets, we are constantly looking for a system that would help us earn profit. Of course, we want this system to be stable and to maintain minimum risk. For the purpose of finding such a strategy, different trading systems searching for optimal entries and exits are being developed. Such systems include technical indicators and trading signals advising when to buy and to sell. There is a whole system of price patterns for technical analysis. At the same time, Ralph Vince shows in his book "Mathematics of Money Management" that the amount of the capital used for performing trades is no less important. To optimize profit and to save a deposit, it is necessary to determine the lot size to trade.

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Contents

• Introduction
• Developing the graphical interface
• Developing the class for working with frame data
• Working with optimization data in the application class
• Displaying the obtained results
• Conclusion

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Suppose that we have suddenly got bored with the classic MQL5 access to indicators. Let's compare the access speed with alternative options. For example, we can compare it with access to indicators in MQL4 style with and without caching. Ideas about MQL4-style access have been derived from the article "LifeHack for traders: Fast food made of indicators" and improved along the way.

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