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PhythonML MT4

240 USD

Download demo: 19

Publicado: 7 outubro 2023

Versão atual: 11.5

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PhythonML MT4

Experts
Yevhen Chystiukhin
Versão: 11.5
Atualizado: 30 janeiro 2024
Ativações: 5

This multicurrency Expert Advisor uses 28 currency pairs. For predictions, the advisor uses models trained by the machine learning algorithm in the Python language environment.

All signals of this advisor in real time and download settings for it can be downloaded from my website forexvisible.com - copy and paste into the browser

This version for the MT4 terminal can work with one time interval H1, the version for MT5 can work with two time intervals H1 and H2, it can be downloaded here https://www.mql5.com/en/market/product/63791

By default, the most profitable 9 pairs out of 28 are selected

The EA was trained from 2007 to 2022, it is necessary to test in the strategy tester from 2022 for Model3 = True, from this period the EA did not know anything about the history during training

The default settings are for the EURUSD H1 currency pair, and use Models3

Description of some of the EA settings

UseSameLotSizeForAllPairs - the ability to select the lot size for each pair separately, true by default, one lot size for all specified by the parameter above
UseMaxAllTakeProfitProcent - enables the global take profit as a percentage of the current profit specified in the MaxAllTakeProfitProcent parameter, after its execution all current orders are closed. Test only on all ticks or 1 minute OHLC
UseMaxStopLossProcent - turns on the global stop loss as a percentage of the current profit specified in the MaxAllStopLossProcent parameter, after its execution, all current orders are closed. Test only on all ticks or 1 minute OHLC
IsDynamicLot - enable automatic formation of the lot size depending on the balance or free margin
is_koef_for_each - if true, then the lot size is formed from the balance for each currency pair separately, if false, then from the total balance or free margin
koef - coefficient for forming the lot size, the larger, the greater the risks
from - formation of the lot size depending on the balance or free margin
CountOfGrid - the number of pending orders in the grid
GridDistanseBegin - the beginning of the first pending order in the grid from the current price
GridDistanseEnd - end of the last pending order in the grid from the current price
GridKoefBegin, GridKoefEnd - distribution of coefficients for multiplying the price of a pending order in the grid

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A unique robot that has been successfully trading on a real account since 2021. The Gold Dragon trading system is so stable that it has allowed it to survive all market fluctuations, while other systems have failed! Big sale 50% OFF! Price $450. Regular price $899 Real signal: click here Unique set files and all recommendations are provided free of charge. All future updates of the adviser are included in the price. After the purchase, contact me and I will help you install and configure

450 USD

TopBottomEA's advantage: the first support for small capital work EA, real trading for more than 4 years; this EA based on volatility adaptive mechanism, only one single at a time, each single with a stop-loss, an average of about 4 orders per day, holding a single length of 12 hours or so, with a limit of $ 20 principal challenge backtesting ran through more than 10 years. Every interval of three days to increase the price of $ 100, the price process: 998 --> 1098 --> 1198...... Up to the targ

598 USD

Promoção de lançamento: Número limitado de cópias disponíveis no preço atual Preço final: 990$ NOVO: ganhe 1 EA grátis! (para 2 contas comerciais) Ultimate Combo Deal -> click here LIVE RESULTS: https://www.mql5.com/en/signals/1949810 JOIN PUBLIC GROUP: Click here Set Files Bem-vindo ao DayTrade Pro Algo! Depois de anos estudando os mercados e programando diferentes estratégias, encontrei um algoritmo que tem tudo o que um bom sistema de negociação precisa: É corretor independente

599 USD

This client utility is intended for sharing and copying signals, as well as for monitoring your Expert Advisor on the site https://forexvisible.com . The Android version of the site can be downloaded here The version for the MT4 terminal can be downloaded here https://www.mql5.com/en/market/product/106509 There are many reasons to use this application in your trading, and these are: 1. If you have many trading advisors and many accounts, it is very difficult to track them and monitor everythin

This multicurrency Expert Advisor uses 28 currency pairs. The predictions are based on two indicators: Bollinger Bands and DEMA.myfxbook.com/members/MUSBREATH Settings for MultiBolbands The default settings are for the EURUSD H1 Algorithm1. Optimization from 2016 year Before testing in the strategy tester or installing the EA on a chart, if you want to speed up the testing process, set the ShowTradePanel advisor setting to false In the strategy tester, set the "Open prices only" trading mode, t

240 USD

This multicurrency Expert Advisor uses 28 currency pairs. For predictions, the advisor uses models trained by the machine learning algorithm in the Python language environment. All signals of this advisor in real time and settings for it can be downloaded from my website forexvisible.com - copy and paste into the browser The Expert Advisor can work with two time intervals H1 and H2 together or separately parameters in the Use Time Intervals group The profitability of currency pairs can be view

240 USD

This multi-currency Expert Advisor uses 28 currency pairs. For forecasts, the EA uses recurrent neural networks of the LSTM type, models trained in the python language environment, and imported into the EA using a new function in mql5 to load ONNX models Finally it happened, mql5 developers have recently introduced the ability to load ONNX models in the mql5 language. And this format supports most modern libraries for training neural networks, and this now opens up an unlimited number of possibi

240 USD

QBotAI is a trading robot designed to automate trading in financial markets. It uses a reinforcement learning technique called Q-learning to optimize its trading strategies. Q-learning allows the robot to learn from experience through trial and error. The robot constantly interacts with the trading environment, makes trade transactions and receives a reward or penalty depending on the result of the transaction. Over time, QBotAI learns to choose the optimal actions to maximize the reward receive

240 USD

This multi-currency expert advisor uses 28 currency pairs. For predictions, the advisor uses recurrent neural networks of the LSTM type, models trained in the Python language environment, and imported into the advisor using a new function in MQL5 for loading ONNX models. The algorithm of the advisor works simultaneously with two timeframes H15 and H1. Separate neural network models have been trained for each of the 28 pairs for both timeframes. The idea is that the advisor places orders only whe

240 USD

This multicurrency expert uses 29 currency pairs. For forecasts, the advisor uses recurrent neural networks of the LSTM type, models trained in the Python language environment using the reinforcement learning algorithm. You can view and download the advisor's performance results and signal settings here: forexvisible.com and myfxbook.com/members/MUSBREATH The advisor uses 4 different packages of neural network models trained for 29 pairs, the first two models work on the H1 interval and the oth

240 USD

AlphaAI — Multi-Currency AI Expert Advisor for MetaTrader AlphaAI is a multi-currency trading expert advisor using LSTM neural networks trained with reinforcement learning to analyze market data and generate trading decisions. The advisor can trade 29 currency pairs simultaneously, distributing trading activity and reducing dependence on a single market. The models were trained in Python using financial time series analysis. AlphaAI Advantages LSTM machine learning models Trading with 29 cur

240 USD

BetaAI — Multi-Currency AI Expert Advisor for MetaTrader BetaAI is a multi-currency trading expert advisor that uses machine learning models to analyze market data and generate trading decisions. The advisor can simultaneously work with 29 currency pairs , allowing trading activity to be distributed across multiple instruments and reducing dependence on the behavior of a single market. The system is based on machine learning models built with XGB (gradient boosting) . The models were trained in

240 USD

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