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Algorithmic Robot

Algorithmic Robot is a fully automated EA that works on USDCAD pair and uses built-in algorithms (flexibility algorithms plus loop and star algorithms) to trade on the medium-term period.

It has passed more than 5 years of backtest on real tick data with 99.9% accuracy (check screenshots section).

Also it has protection against severe market moves and spread fluctuations.

Minimum deposit: $1000 for standard accounts or $10 for micro accounts.


Parameters

  • Algorithm_1_Flexibility - represent the first algorithm for measuring trend flexibility and to be set at 3 for the optimum performance.
  • Take_Profit - to be set at 58 for the optimum performance.
  • Algorithm_2_Flexibility - represent the second algorithm for measuring the trend flexibility and to be set at 2.5 for the optimum performance.
  • StopLoss - to be set at 36 for the optimum performance.
  • Star_Algorithm - represent the length of the trend correction and to be set at 46 for the optimum performance.
  • Loop_Algorithm - represent a correction factor for the trend and to be set at 0.52 for the optimum performance.
  • Lots = 0.01
  • Riskpercent = 1
  • Trend_Correction_1 - False
  • Price_Movement_1 - False
  • Trend_Correction_2 - False
  • Price_Movement_2 - False
  • Price_Speed_1 - False
  • Price_Speed_2 - False
  • Magic Number.


General Notes

  • Symbol: USDCAD.
  • Timeframe: H1 but other timeframes can be used for testing.
  • ‌Working drawdown of 1-16%.‌


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Built To Last is a fully automated ea that works on AUSUSD pair and it is programmed to use a neural network equation to measure the trend stability to buy or sell. It has passed more than 6 years backtest on real tick data with 99.9% Accuracy (check screenshots section). W‌hy AUSUSD? because no flash crush or 1000 pips sudden moves happened on it till now. Minimum Balance required 4000$. Expert Parameters Target - to be set at 76 for the optimum performance. StopLoss - to be set at 20 for the
Hope EA
Hatem Koshok
Hope EA is a fully automated Expert Advisor that works on both Classical and ECN accounts on GBPUSD pair. It is programmed to use enhanced averaging equations to trade on the medium-term. The most important is that it passed the flash crash that happened twice on GBPUSD on 07/10/2016 & 24/06/2016 and severe gap jumps of 300 pips. It has passed 5 years backtest on real tick data with 99.9% Accuracy (check screenshots section). Minimum balance required is $1000 for standard accounts or $10 for mic
The Fox
Hatem Koshok
1 (1)
The Fox EA is a fully automated EA that works on both Classical and ECN accounts on USDCHF pair and is programmed to trade using both level trading and hedging strategies. All you need is to set the risk percent and start trading. The screenshots section shows the back-test results. The minimum balance of $2000 is required for standard accounts or $20 for micro accounts. Parameters Lots = 0.01 Riskpercent = 0.5 (risk percent and its optimum at 0.5 for balance starting from $2000) Magic Number
The Long Term EA is a fully automated EA that is designed to trade on the Long Term using various strategies like trend trading and hedge at different timeframes. It may take some time to take a trade. SL and TP are always present. The Expert's strategy depends on the trend, where it takes positions along a cycle of price movements, either upward or downward. The stop loss is set to buy or sell orders as a security measure in case the price moves below or above a certain predetermined levels. In
Great Ox EA
Hatem Koshok
Great Ox EA is a fully automated EA that works on both Classical and ECN accounts. It is programmed to use various trading systems, such as trending, hedging, neural network, etc. SL and TP are always present. The expert strategy is to collect the previous trend data of the pair then to try to match the previous trend with different strategies like hedging, neural network to get the optimum place for the orders. Meanwhile a neural network function is present to determine if the current trend is
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Mohd Amzari Jimat
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Mohd Amzari Jimat 2018.07.28 07:58 
 

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EShaker
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EShaker 2018.07.25 10:36 
 

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Version 1.20 2018.08.01
improvement to the code
Version 1.10 2018.07.09
No change in the strategy or the input, and the modifications are just improvement to the code to make it perform faster.