ForexVision

AI-powered real-time forex classification engine using strategic financial market analysis and time series forecasting of historical data of 30+ years to optimize trading strategies in dynamic markets

📌 Overview

This project leverages real-time forex transaction data to:

• Calculate inter-currency correlations
• Extract advanced statistical features like Keltner Bands and Fractal Dimension (FD)
• Classify currency pairs as Forecastable, Partially Forecastable, or Non-Forecastable
• Optimize financial decision-making through machine learning (PyCaret) pipelines

Implemented & optimized a Long/Short trading strategy to profit from anticipated price movements.

• Going Long (“Buying”) or Going Short (“Selling”)
• Univariable time series regression to choose whether to go long or go short
• Optimization startegies like threshold and prioritizing short term trends to increase profit by 76%

🛠️ Tech Stack

• Python
• Database - MongoDB, SQLite, ArcitcDB
• Machine Learning - PyCaret - Regression and Classification
• Deep Learning - Neural Networks, RNN, LSTM
• Libraries -
  • Visualization - Matplotlib / Seaborn
  • Scheduling - RepeatedTimer
  • Pandas, NumPy, Scikit