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Great Ox EA

399 USD

Demo downloaded: 339

Published: 18 July 2018

Current version: 1.10

Great Ox EA

Item: Great Ox EA
Rating: 5
Author: EShaker

Experts
Hatem Koshok
Version: 1.10
Updated: 1 August 2018
Activations: 5

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 matching with the overall pair trend or its odd performance so it can modify itself to match this new trend. Also a convergence and hedge functions are used to determine trend start and end.

The performance is optimized for different pairs EURUSD, GBPUSD, USDCHF, USDCAD & AUSUSD and the optimized set for each pair is provided in screenshots section.

It has passed 6 years back test on real tick data with 99.9% accuracy.

Minimum balance required is $4000 for standard accounts or $40 for micro accounts.

The screenshots section shows the back-test results.

Working Strategy

I recommend to open 5 charts (H1) for the mentioned pairs (EURUSD, GBPUSD, USDCHF, USDCAD & AUSUSD).
Add the expert to each of the charts.
Apply the set in the screenshots sections for each pair.
I recommend to use the risk percent in the sets but you can change it to lower values if you wish.
In case of micro accounts the risk percent should be multiplied by 100 (so if the image says risk value is 0.5 then for micro account it should be 50).

Features

Works with any broker.
No need for fast VPS.
Uses only the best features from various systems, such as trending, hedging, neural network, etc. SL and TP are always present.
Good test results on various time intervals;
Excellent results when tested in different ways;
No need to disable the robot during news;
Does not require exceptional execution.
Full Time Support.

Expert Parameters

Block_Size - the number of points to create a block to avoid price fluctuation.
Generate_Trends - generate a number of trends to match current price trend.
Trend_Correction - correction for the current trend to avoid taking orders in fluctuation area.
Take_Profit - the profit needed to close the deals.
Trend_Tuning - slight tuning for the trend if a clear trend could be identified.
StopLoss - the stop loss of the deals.
Cube_Function - calculate the expected end of the trend based on the block size value.
Complex_Function - identify how complex the current trend is and if the trend change is expected to avoid placing orders.
Lots = 0.01 - lot of the orders.
Riskpercent = 1 - generally check the screenshots section to get the optimum value for the risk that is suitable for each pair.
Trend_Tuning_On - False - enable/disable the trend tuning option.
Deviation_Factor - False - enable/disable the trend correction option.
Divergence - False - include divergence in considering trend end.
Massive_Correction - False - in case there was high fluctuation in the pair and usually for the mentioned pairs there is no severe fluctuation.
Trend_Network - False - consider trend correction as a new trend or not.
Floating_Factor - False - measure the new trend angle in case trend network option is set true.
Magic Number.

Symbols: EURUSD, GBPUSD, USDCHF, USDCAD & AUSUSD.

Time Frame - H1 but other time frames can be used.

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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

79 USD

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

79 USD

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

150 USD

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

79 USD

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

50 USD

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EShaker 2018.08.11 12:30 #

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Version 1.10 2018.08.01

improvement to the code