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Develop a good forecasting indicator capable of learning data in the past from 2000 till now

MQL4 Индикаторы Отладка робота/индикатора Статистика и математика C++ Data mining (обработка данных)

Техническое задание

We are seeking an experienced MQL4 developer to create a forecasting indicator with a prediction accuracy above 80%. The indicator must be capable of learning from historical market data starting from the year 2000 to the present. Additionally, it should offer an option to analyze and learn from all available candlesticks on the current timeframe, allowing it to adapt to real-time market conditions.

Key Requirements:
Prediction Accuracy: The indicator must aim for a forecasting accuracy above 80%.
Machine Learning Integration: The indicator must learn and adapt based on historical data, starting from the year 2000, and continue to improve over time.
Customizable Timeframes: It must include an option to learn from all candlesticks within the current timeframe (from M1 to monthly).
Performance and Speed: The indicator must process and provide predictions in a timely manner without causing significant lags in the MetaTrader 4 platform.
User-Friendly Interface: Simple to set up and configure for both professional traders and retail users.
Skills Required:

Proficiency in MQL4 programming.
Experience with machine learning algorithms and time series analysis.
Familiarity with integrating historical market data into indicators.
Ability to optimize and fine-tune indicators for performance on MetaTrader 4.
If you have a track record of developing high-performance indicators and are interested in this challenging project, please submit your proposal along with previous relevant work examples.

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Опубликовал: 77 статей, 5 примеров
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Информация о проекте

Бюджет
1000 - 2000 USD