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A financial deep learning library for stocks price prediction and comparison with traditional investment strategies. The Library is based on LSTM-Neural Networks and Conv1D + LSTM Neural Networks. Investments are subject to market risks, The AUTHOR HOLDS NO RESPONSIBILITY for any financial loss.
A modular, realistic, and extensible trading engine for backtesting strategies and simulating real-world portfolios — built for quants, researchers, and indie traders.
Tariflux is a tariff policy dynamic monitoring system for international trade enterprises, providing multi-country tariff data aggregation, real-time policy change early warning and basic impact analysis capabilities.
AI-powered stock prediction platform combining ensemble machine learning with time series forecasting for data-driven investment decisions. Features multi-model consensus forecasting, 32+ technical indicators, and an interactive dashboard for professional market analysis.