I created this library to streamline the process of developing an Expert Advisor in MQL5. While MQL5 development can be complex, the same task is more straightforward in Python.
Sitene Döviz Kurları Ekle | Dolar, Euro (Api) Json
This project is part of a bigger one. I want to make Algo Trading Easy for you! You can find examples and more information in the documentation. easyT, easyTo trade, easyTo use!
Traditionally, volatility is modeled using parametric models. This project focuses on predicting EUR/USD volatility using more flexible, machine-learning methods.
This project is part of a bigger one. I want to make Algo Trading Easy for you! You can find examples and more information in the documentation. easyT, easyTo trade, easyTo use!
This is a modified mean reversion trading strategy that generates buy and sell signals based on the relative strength index (RSI) and moving average (MA) of the EUR/USD currency pair on a 1-minute timeframe.
MQL Expert
1D-CNN that predicts the direction of the EURUSD pair.
Application of machine learning model, on datasets, to predict desired target variables.
Python algorithm for trading the EUR/USD forex pair using a mean reversion strategy. The algorithm retrieves price data from OANDA's API, calculates the z-score of the closing prices, and executes a trade if the z-score is above a certain threshold (indicating an overbought condition) or below a certain threshold (indicating an oversold condition
Forex tick-by-tick EUR/USD data, free to use for your Forex machine learning stuffs..
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