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Nothing makes me glad but a well-written Requirements Specification. It accounts for, at a minimum, 60-80% of its future successful realization. I'm asking my customers to state their trade ideas clearly and explicitly. As for me I'm always ready to discuss and realize your ideas.
В статье рассмотрим наглядно по блок-схемам логику прилагаемых к терминалу учебных советников, расположенных в папке Experts\Free Robots, торгующих по свечным паттернам.
In this article, we dive deep into the crucial aspects of choosing the most relevant and high-quality Forex data to enhance the performance of AI models.
К сожалению, выбрал не подходящее время для использования M=3. Как итог - не хватило денежных средств для поддержания позиции, очень жаль. Планирую внести ряд изменений в советник, и, возможно, повторить эксперимент. Вообще, надо было на другом счете тестировать метод торговли с увеличением объёма позиции. В печале
It is a common practice for many Artificial Intelligence models to predict a single future value. However, in this article, we will delve into the powerful technique of using machine learning models to predict multiple future values. This approach, known as multistep forecasting, allows us to predict not only tomorrow's closing price but also the day after tomorrow's and beyond. By mastering multistep forecasting, traders and data scientists can gain deeper insights and make more informed decisions, significantly enhancing their predictive capabilities and strategic planning.
Опять прилетел чёрный лебедь. Затяжные аномальные движение всё ещё трудно даются советнику Bingo. Появились идеи по улучшению ситуации, буду внедрять идеи в код и проверять их состоятельность
В статье рассмотрим создание программы сервиса для отправки уведомлений на смартфон о результатах торговли. В рамках статьи научимся работать со списками объектов Стандартной Библиотеки для организации выборки объектов по требуемым свойствам.
주요 기능 상세한 수익 및 성과 지표 실시간 데이터 분석 일일 요약 보고서 월별 캘린더 보기 특정 알고리즘별 필터 (매직 넘버) 실시간 데이터 분석 실시간 거래 데이터 액세스 : 최신 시장 동향 및 거래 성과를 최신 상태로 유지하세요. 실시간 시장 분석을 기반으로 한 정보에 입각한 결정 : 신속하고 정확한 거래 결정을 위해 최신 데이터를 활용하세요. 일일 요약 보고서 일일 성과 요약으로 최신 정보 유지 : 목표와의 일치를 보장하기 위해 하루 끝에 상세한 보고서로 활동을 매일 점검하세요. 포괄적인 지표 : 총 거래 수, 승률, 수익률 등 주요 성과 지표를 추적하여 거래 행동과 결과를 더 잘 이해하세요. 특정 알고리즘별 필터 매직 넘버를 사용한 거래 필터링 : 다양한 거래 알고리즘 또는 전략의 성과를 분리하고 평가하세요. 맞춤형 그래프 필터 : 그래프에서 모든 거래 심볼로 데이터를 필터링하거나, 여러 심볼을 선택하거나, 특정 거래 쌍에 집중하여 날짜 범위에 따라 필터링할 수 있습니다
Convolutional Neural Networks (CNNs) are renowned for their prowess in detecting patterns in images and videos, with applications spanning diverse fields. In this article, we explore the potential of CNNs to identify valuable patterns in financial markets and generate effective trading signals for MetaTrader 5 trading bots. Let us discover how this deep machine learning technique can be leveraged for smarter trading decisions.
In the previous article, we discussed a simple RNN which despite its inability to understand long-term dependencies in the data, was able to make a profitable strategy. In this article, we are discussing both the Long-Short Term Memory(LSTM) and the Gated Recurrent Unit(GRU). These two were introduced to overcome the shortcomings of a simple RNN and to outsmart it.
Внимание! С 08 июля 2024 года в сигнал будет добавлены настройки на базе канала "Raznica" с настройкой LotM=3, что означает, что новые ордера бадут открываться с повышенным объёмом, увеличивающимся по Фибоначчи. Пример, первый ордер с лотом 0.01, второй 0,02, третий 0.03, четвертый 0.05, а пятый уже 0,08. Ожидается повышение рисков и увеличение просадки средств. Attention! From July 08, 2024, settings based on the Raznica channel with the LotM=3 setting will be added to the signal, which means
Recurrent neural networks (RNNs) excel at leveraging past information to predict future events. Their remarkable predictive capabilities have been applied across various domains with great success. In this article, we will deploy RNN models to predict trends in the forex market, demonstrating their potential to enhance forecasting accuracy in forex trading.
In the forex markets It is very challenging to predict the future trend without having an idea of the past, Very few machine learning models are capable of making the future predictions by considering past values. In this article, we are going to discuss how we can use classical(Non-time series) Artificial Intelligence models to beat the market
В статье создадим простой инструмент для удобного просмотра позиций и сделок прямо на графике с навигацией клавишами. Это позволит трейдерам визуально изучать отдельные сделки и получать всю информацию о результатах торговли прямо по месту.
