{"repo":"snowfluke/paperium","free":true,"listed":false,"github":"https://github.com/snowfluke/paperium","clone":"git clone https://github.com/snowfluke/paperium.git","description":"Indonesia Stock Exchange (IHSG) Deep Learning Trading System","language":"Python","stars":35,"topics":["idx","ihsg","lstm","ohlcv","pytorch","signals","stock","stock-predictions","technical-indicators","trading"],"license":null,"category":"trading","readme_excerpt":"Paperium: IHSG Deep Learning Trading System System Type : Deep Learning Quantitative Trading\\ Target Market : Indonesia Stock Exchange (IHSG)\\ Model Architecture : LSTM (Long Short-Term Memory)\\ Labeling Scheme : Triple Barrier Method Paperium is a sophisticated quantitative trading system for the Indonesia Stock Exchange (IHSG). It implements state-of-the-art Deep Learning (LSTM) trained on raw OHLCV sequences, guided by Triple Barrier Labeling , as described in recent financial machine learning research. Paper: https://arxiv.org/pdf/2504.02249v1 [!IMPORTANT] Paperium V0 and Paperium V1 still available in the branch section with differnt model architecture Paperium Ensemble Go train the paperium v1 xgboost model on paperium-v1 branch and combine it with paperium v2 to get more accurate signaling with entry and dynamic SL/TP, instead of fixed 3%. Table of Contents 1. Core Philosophy 2. Key Innovations 3. Architecture 4. Quick Start 5. Usage Guide 6. Model Details 7. Data Pipeline 8. Training Strategy 9. Portfolio Management 10. Configuration 11. Performance Optimization 12. Known Issues & Future Work Core Philosophy Paperium has transitioned from traditional ML (XGBoost + Technical Indicators) to Deep Learning on Raw Data . The hypothesis is that neural networks can learn better feature representations from raw price sequences than human-engineered indicators (RSI, MACD, etc.). By feeding the LSTM raw OHLCV data, we avoid: - Feature selection bias - Over-engineering indicator","default_branch":null,"files":null,"tree":[],"storefront":"/r/snowfluke","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/snowfluke/paperium/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}