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!

Database Currency Pair

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

This is a Forex data indicator that tries to give visual insights of forex trading pairs based on Trading Sessions and overlaps.

LSTM model for EURUSD price forecasting, exploring techniques from 'Machine Learning Aplicado al Trading'.

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.

This project develops and fine-tunes a TimeSeriesTransformer model to forecast EURUSD 5-minute closing prices, serving as a modern counterpart to a baseline LSTM model

stream EURUSD price from truefx.com and visualize it with matplotlib

1D-CNN that predicts the direction of the EURUSD pair.

MQL Expert

This is a Forex data indicator that tries to give visual insights of forex trading pairs based on Trading Sessions and overlaps.

Forex tick-by-tick EUR/USD data, free to use for your Forex machine learning stuffs..

Application of machine learning model, on datasets, to predict desired target variables.

This project applies machine learning to forecast EURUSD prices using a TimeSeriesTransformer model. It aims to enhance trading strategies by generating predictive signals and comparing performance with traditional models. 🐙📈