A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

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

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.

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.

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. 🐱💻

A custom Backtrader indicator that integrates a pre-trained Hugging Face Time Series Transformer model for price prediction. Includes a sample strategy, data, and the ML model.

AI-powered financial forecasting agent that extracts quarterly metrics, runs RAG on earnings transcripts, and generates structured next-quarter outlook via FastAPI + Ollama.

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

This is a stock prediction webapp that trys to predict stock prices for the following american tech companies

Quantum-Based Predictive Market Analysis (QBPMA) is a quantum algorithm designed to analyze and predict market trends with higher accuracy using quantum computing principles.

A modular stock prediction framework combining time series models and modern ML techniques. Supports custom pipelines for feature engineering (lag features, technical indicators), model training (ARIMA, XGBoost, LSTM), and walk-forward backtesting with performance metrics like Sharpe ratio, MSE, and cumulative return. Currently under development.

📈🤖 LSTM-based multi-horizon stock forecasting with company embeddings and GUI. Predicts 10/20/30-day prices for S&P 500 stocks. Includes data loading, scaling, training, confidence intervals, Excel export, and interactive Tkinter interfac

A research project for a Bachelor's thesis exploring encoder-decoder architectures for financial time series forecasting. Includes code, experiments, and evaluation results.

This repository implements a Decision Trees model for predicting prices of financial instruments such as stocks, currencies, and cryptocurrencies. The model uses gradient boosting techniques to capture complex patterns in price movements, improving prediction accuracy.

A commercial AI-driven platform for real-time and end-of-day forecasting of all Tehran Stock Exchange symbols. Built in collaboration with industry partners and academic advisors, it integrates automated data-ingestion pipelines, deep-learning LSTM models, smart feature extraction (technical data & news data), and rolling 40-minute predictions.

A financial analysis for financial statements

Digital Breakthrough Hackathon, financial prediction case, 26.08-28.08.2022, Top-3 result

XGBoost-based one-step-ahead forecasting of NEPSE Index log-returns with walk-forward validation. Includes Ridge and ARIMA benchmarks, feature engineering, and reproducible results.

📊 Automate financial analysis and forecasting with ForecastGPT, leveraging AI to extract insights from reports and streamline decision-making.