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Golden Hartley MT5

EA Golden HARTLEY is a robust trading strategy designed for XAUUSD or GOLD  and M30 time frame. The EA creates pending stop trade orders using indicators Linear Regression Smoothed Moving Average, BB Range and parameters based on the market environment. It uses fixed SL, PT and exit from the position after time cut off. The EA was tested with several Monte Carlo robustness tests and optimized. Backtest was done on ticks data with a 15-year history 2007-2023. There is no need to set any parameters, all settings are already optimized and fine-tuned to the UTC+2 time zone. Since it uses pending orders, it is suitable for all time zones. The strategy makes an average of 40 trades per year and is suitable in combination with other strategies in the trading portfolio, see my other products. To set the correct risk management and calculate the size of the position, the strategy uses Stoploss with a size of 1140 pips.



Features

-each deal is protected  by stop orders (Stop Loss and Take Profit)
-both  fixed lot and  free margin percentage are used
-no martingale , no grid , no skalp
-user-frendly settings
-all settings optimized
-longterm strategy
-good risk reward ratio 1:2,58

Settings 

CustomComment= Golden HARTLEY    - custom coment in history
MagicNumber                                    - strategy identification number
mmLots                                            - money management , the size of the open position in lots
ExitOnFriday                                     - closing the position on Friday enable or disable 
FridayExitTime                                  - closing time
LimitTimeRange                                - time of pending trade orders
SignalTimeRangeFrom                        - time in range from
SignalTimeRangeTo                            - time in range to
UseSQTickSize                                    - enable or disable custom tick size 
MainChartTickSizeSQ                          - tick size value
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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
XG Gold Robot MT5
Marzena Maria Szmit
4.35 (75)
The XG Gold Robot MT5 is specially designed for Gold. We decided to include this EA in our offering after extensive testing . XG Gold Robot and works perfectly with the XAUUSD, GOLD, XAUEUR pairs. XG Gold Robot has been created for all traders who like to Trade in Gold and includes additional a function that displays weekly Gold levels with the minimum and maximum displayed in the panel as well as on the chart, which will help you in manual trading. It’s a strategy based on Price Action, Cycle S
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Inrexea Limited
5 (2)
No Backtesting is allowed: (OIS IS NOT A HFT Strategy, Will not be violated by Prop firm rules) We don't rely on backtest results. The backtesting environment can't access our database to retrieve historical data. We aim to provide clarity to EA traders and not mislead them. The best approach is to monitor our signals. If you're wondering how to verify that it works with your broker, the response is the same: backtesting results alone don't prove effectiveness. "OIS" : The Final product of ours
Apocalypse Gold
Xian Qin Ceng
5 (7)
The original price is $399. The $300 promotion ends in 24 hours! Gold has risen 25% in about a year, which is crazy, so I manually placed a long Sell order on August 23. This trade once brought a profit of $15, but I thought it was possible to get a bigger profit, so I chose to hold it. Gold continued to rise, but I would not change my judgment that gold would return to $2,400. Don't be confused, this is a manual order, EA's orders usually stop loss at $1--3, and rarely may trigger a maximum st
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Yu Mei Cheng
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