Sakura TREE MT5

This is not another robot from the market, not the Grail, not a way to quickly get into the Forbs list.

My goal: to create a solid algorithm that will not succumb to market "corrosion" and generate income for a long time.

Today I am as close as possible to this.

Sakura TREE is a mathematical approach with incredible grace and simplicity that works on a full automatic machine.

Development with a history

The first version of Sakura TREE was developed back in 2018. After several experimental versions, in 2019, Sakura TREE appeared in the MQL5 market for MetaTrader 4. I thought that my project was finished, I polished the code several times, bringing it to perfection, but under no circumstances did I change the algorithm. The strategy has shown excellent results since 2010. The users of my products were happy, and so was I.

Then came 2020, the year of the coronavirus. The markets behaved unconventionally, my algorithm deviated from the average indicators, which was the first warning that Sakura TREE requires improvement and diversification. My 2021 started with a lot of hard work, and I re-dedicated several months to transforming the strategy and strengthening the algorithm. To do this, we had to use the development tools that are available in the new generation of MetaTrader 5. Today, Sakura TREE meets all the realities of the market and is ready for the most unexpected events in the economy and politics.

The philosophy and approach remained unchanged. The only thing that has been transformed is the effectiveness of profit and loss control. This has become a crucial advantage in the new version of Sakura TREE 2.0.

Algorithm description

I've seen a lot of robots in my trading and development experience. 90% of them use averaging or martingale, most often-both. This method allows you to quickly earn "here and now", but in the long run, such stories only bring a loss. So I initially abandoned averaging and martingale. In Sakura TREE, StopLoss is used for each position.

Complete absence of averaging and martingale. Each position is accompanied by a defensive StopLoss order.

I have also encountered algorithms that use unreliable constructs: arbitrage, scalping, news trading. If there is a slight change in any parameter in such robots, the system crashes. Moreover, the results of the strategy tester in such systems will differ significantly from the results of trading in the real market, because there are such facts as slippage, requotes, spread widening and other deviations. All this quickly "breaks fragile structures".

I chose the most reliable algorithm for breaking trading levels using the breakeven system. The robot is based only on the actual prices, which cannot be interpreted in any other way. Choosing between quality and quantity-I still chose quality. Accurate entry, accurate exit through pending orders. And most importantly: with a positive matozhidanie.

I want to note that my development is not about how to trade a lot and stupidly. Sakura TREE is rather an investment product that will stabilize your portfolio and will be a conservative component of it. Sakura TREE works on compound interest and for years to come, preserving and increasing the owner's capital. Download the test version and see for yourself.

Settings for USD\JPY, GBP\USD, EUR\USD

You can run it on any timeframe.

Optimization results

Description of parameters

Strategy settings

  • TakeProfit - take profit in points;
  • StopLoss - stop loss in points;
  • Expiration in hours - expiration time of pending orders in hours;
  • Touch Range - level of consolidation in points;

Moneymanagment

  • Selection MM - choice between dynamic and fixed lot;
  • Fixed - fixed lot size;
  • Dynamic, percent of risk,% - percentage of the risk from the deposit for the selected dynamic lot;
TrailingStop

  • Off\on - off\on trailing-stop
  • MinProfit - minimum profit in points to activate the trailing stop;
  • Level BE - the first breakeven level;
  • Step - a step to change the stop loss.

Other

  • Slipping - slipping;
  • Magic - individual number.


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gintaras_mql
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gintaras_mql 2021.06.27 10:54 
 

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Nikita Chernyshov
6286
Reply from developer Nikita Chernyshov 2021.06.28 09:33
thanks, Gint!
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