FOREX - Full Stack Prediction Model

This project uses RNN(LSTM) to make predictions about the forex exchange between USD and Euro.

Project on Foreign Exchange Forecasting, for the Μ401 - Deep Neural Networks course, NKUA, Fall 2022.

" Indicadores - Forex "

This repository provides a comprehensive exploration of Support Vector Machine (SVM) techniques applied to time series data, with a focus on financial FOREX price forecasting. It includes detailed code and examples, such as the 'Support Vector Machine Model.ipynb' notebook, which demonstrates preprocessing, model development and evaluation.

The general terms of use of the FTI app : https://play.google.com/store/apps/details?id=com.hstrading.fti

A Forex trading bot with a market emulator, a strategy tester with a plotter (Finplot), a set of indicators (NumPy & Numba), a genetic algorithm (multiprocessing enabled), and integration with MT5 (Windows only)

An API to monitor and suggest trends in the world FOREX markets. Responses include consolidated indicator values, market status and general currency trends (predictions).

Forex Trading Bot for RSI Overbought and Oversold Signalling

A Time-Series Machine Learning project aimed at accurate predicting curreny pair exchange rates using ARIMA, SARIMA and LSTM.

Automatic and configurable Forex Factory event notifier.

KES-USD Forex Pattern Mining project. Forex dataset accessed on the Central Bank of Kenya website

This project is dedicated to forecasting 1-hour EURUSD exchange rates through the strategic amalgamation of advanced deep learning techniques. The incorporation of key technical indicators—RSI, MA, EMA, and VWAP—enhances the model's grasp of market dynamics

Forex Data Analysis Using Python And Jupyter Notebook

KRW (Korean Won) exchange rate prediction using Neural Networks [PL]

Cryptos, stocks, or Forex: Which is better to trade? Forecast with Streamlit

Python program to convert one currency to another including bitcoins.

ML/Deep learning approach in predicting the direction of the next candle close for the next 1-minute, 5-minute candle and 15-minute – via Binance API real-time & historical data. The main idea of this project is using Machine Learning, Deep Learning intelligence for Time Series Forecast – which is on Stock Prediction

Lstm_states_stocks

An undergraduate research in predicting Forex movement with sentiment analysis of news headlines.