Harshraj1301/Crypocurrency-Predictive-Model-Using-LSTM---Portfolio-Optimization
Developed a Bidirectional LSTM model for predicting next day closing prices with a MAPE of 19% and built a dynamic portfolio optimization algorithm incorporating profit-taking and stop-loss strategies
No commits in the last 6 months.
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
May 28, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Harshraj1301/Crypocurrency-Predictive-Model-Using-LSTM---Portfolio-Optimization"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Barca0412/Introduction-to-Quantitative-Finance
入门资料整理：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.
kyleskom/NBA-Machine-Learning-Sports-Betting
NBA sports betting using machine learning
TorchTrade/torchtrade
Modular reinforcement learning framework for algorithmic trading
terence-lim/financial-data-science-notebooks
Practical financial data science examples applying statistics, time series analysis, graph...
v0acc0002/deepseek-trading-experiment
🤖 Explore AI-driven trading with the DeepSeek crypto bot, designed for learning rather than...