PyTorch implementation of FactorVAE

FISY is a completely free financial provisional plan template, designed to provide entrepreneurs with a simple and flexible model allowing them to focus on the essentials: building the business model, defining the business strategy and developing the financial plan to better prepare their business plan .

Hidden Markov Models in stock price forecasting.

Simple Finance Forecasting Ai. This Ai Model uses historical price data to forecast future prices. The model is trained on data downloaded from Yahoo Finance using the yfinance library, and predictions are made using a linear regression Ai model from sklearn. The model supports all the symbols supported by Yahoo Finance.

This is the GitHub repository complementing the paper "Forecasting Cryptocurrency Prices Using Deep Learning: Integrating Financial, Blockchain, and Text Data"

A learning tool to demonstrate the process of financial forecasting, budgeting, and analysis.

Analyze financial news sentiment and its correlation with stock market movements. Use NLP, sentiment analysis, and financial analytics to uncover insights for enhanced financial forecasting and innovative investment strategies.

InvestAI is an advanced AI-driven platform designed to automate investment strategies. It utilizes machine learning algorithms to analyze financial data, predict market movements, and optimize portfolio management for passive income generation.

Complex modelling and forecast various scenarios against your cloud application

Multi-Container application to dashboard expected returns for global equity markets. Isolate Streamlit frontend, FastAPI backend, and SQLModel database with Docker. Orchestrate with Docker-Compose.

Hybrid Expert Advisor for Forex HFT using EMA/ADX signals and AI forecasts (XGBoost, RF, LSTM). Supports real-time trading and backtesting in MetaTrader 5.

Quickly predict the future prices of financial instruments with a customizable LSTM Recurrent Neural Network

AI-powered crypto trading strategies and arbitrage opportunities

TVP-VAR-SV modeling in MATLAB.

Real-Time Stock Predictor offers a streamlined way to analyze stock market trends using live data. 📈 With powerful features and efficient algorithms, it empowers users to make informed trading decisions. 🐱💻

Predictive Analytics through Sentiment and Correlation Analysis

Used Excel to analyze financial performance data of 500+ companies on the NYSE. Based on my findings, I created Profit/Loss Statements and Financial Forecasting Models using multiple scenarios

Youtube channel for algorithmic trading and investment automation

Advanced Stock Price Prediction Tool using ARIMA and LSTM models with a Streamlit-based web interface for visualization and analysis.

A high-quality real-time stock market predictor using Python, Scikit-Learn, and Alpha Vantage API.