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Black Box XAUUSD evening MT5

This algorithm uses statistically justified comparison of market data, numerical constant values and output values of Stochastic indicators and Moving Averages in order to take decision whether it is necessary to open a position.

Prior to giving birth to a new EA, this logic was created as a result of usage of Stochastic methods and then tested on historical data and checked with Monte Carlo method, which does not guarantee any results in the future, of course.

No martingale is used.

The robot is designed to trade during evening hours on XAUUSD M15.

Despite the fact that this condition is not obligatory, trading logic assumes that no positions should remain open during publications of significant economic news like Non-farm Payrolls.

From machine learning point of view, the EA should be optimized every 23 days using 88 day interval.


The default settings presume that servers of a chosen broker work in widely spread EET time zone (4 PM - 10 PM by default). If it is necessary to set up trading in UTC time zone, a user should deduct 3 (in winter time) or 2 from the default time settings.

It is not recommended to change the trading range and the instrument itself due to the fact that the logic of the algorithm was created for specific behaviours of currency pairs during specific time periods.

The default trading volume is set to 0.05 standard XAUUSD lots (5 ounces of Gold on a typical non-cent account). In order to trade this volume comfortably, your deposit should not be less than $260 given that you use effective leverage equal to 1:25.


Parameters

  • magic - "magic" number, identifier of the EA for marking its own positions
  • start_hour - time, at which the EA commences trading
  • stop_hour - time, at which the EA ends trading, stops sending orders and closes positions
  • friday_close - trigger that determines the individual end time of trading on Fridays
  • friday_close_hour - time, at which the EA ends trading on Fridays
  • lot - volume of opened positions
  • bar - bar number, used in trade logic
  • sma_period_1 - period of the first SMA indicator
  • sma_period_2 - period of the second SMA indicator
  • stoch_k_1 - %K period of the first Stochastic indicator
  • stoch_d_1 - %D period of the first Stochastic indicator
  • stoch_slowing_1 - slowing parameter of the first Stochastic indicator
  • stoch_k_2 - %K period of the second Stochastic indicator
  • stoch_d_2 - %D period of the second Stochastic indicator
  • stoch_slowing_2 - slowing parameter of the second Stochastic indicator
  • stoch_control_1 - value that controls the Stochastic indicators
  • stoch_control_2 - value that controls the Stochastic indicators
  • stoch_control_3 - value that controls the Stochastic indicators


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Launch Promo: Limited number of copies available at current price Final price: 990$ NEW: get 1 EA for free! (for 2 trade accounts) Ultimate Combo Deal   ->   click here LIVE RESULTS:   https://www.mql5.com/en/signals/1949810 JOIN PUBLIC GROUP: Click here Set Files Welcome to DayTrade Pro Algo!  After years of studying the markets and programming different strategies, I have found an algorithm that has everything a good trading system needs: It is broker independent It is spread independent
Boring Pips MT5
Thi Thu Ha Hoang
4.71 (28)
Have you ever wondered why most expert advisors are not effective in live trading, despite their perfect backtest performance? The most likely answer is   Over-fitting . Many EAs are created to ‘learn’ and adapt perfectly to the available historical data, but they fail to predict the future due to a lack of generalizability in the constructed model. Some developers simply don't know about the existence of over-fitting, or they know but don't have a way to prevent it. Others exploit it as a tool
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This algorithm uses statistically justified comparison of historical prices and output values of the CCI and ATR indicators to decide whether it is necessary to open position. This logic has been created as a result of the use of stochastic methods, it has been tested on history data and verified by the Monte Carlo method, which, of course, does not guarantee future results. The EA is designed to trade EURUSD M15 during morning hours. Despite the fact that this condition is not mandatory, the tr
This algorithm uses statistically justified comparison of numerical constant values and output values of Williams R, CCI and Stochastic indicators in order to take decision whether it is necessary to open position. Prior to give birth to a new EA, this logic was created as a result of usage of stochastic methods and then tested on historical data and checked with Monte Carlo method which does not guarantee any results in the future, of course. The bot is designed to trade during morning hours on
This algorithm uses statistically justified comparison of historical prices, moving average and output values of Williams R and Stochastic indicators in order to take decision whether it is necessary to open a position. Prior to giving birth to a new EA, this logic was created as a result of usage of stochastic methods and then tested on historical data and checked with Monte Carlo method, which, of course, does not guarantee any results in the future. The bot is designed to trade during evening
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