huseinzol05 / Stock-Prediction-ModelsLinks
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
☆8,756Updated 2 years ago
Alternatives and similar repositories for Stock-Prediction-Models
Users that are interested in Stock-Prediction-Models are comparing it to the libraries listed below
Sorting:
- In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pre…☆4,828Updated 11 months ago
- Stock Price Prediction using Machine Learning Techniques☆1,460Updated last year
- Using python and scikit-learn to make stock predictions☆1,864Updated last year
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,158Updated 4 years ago
- Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment ana…☆2,300Updated last year
- For trading. Please star.☆2,375Updated last year
- Use unsupervised and supervised learning to predict stocks☆1,833Updated 5 years ago
- Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.☆1,905Updated 2 years ago
- List of awesome resources for machine learning-based algorithmic trading☆1,668Updated last year
- Stock Trading Bot using Deep Q-Learning☆1,091Updated last year
- 🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.☆4,214Updated last week
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,576Updated last year
- MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable…☆4,280Updated last year
- Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau☆1,835Updated 2 months ago
- Quant/Algorithm trading resources with an emphasis on Machine Learning☆3,108Updated last month
- Hands-On Machine Learning for Algorithmic Trading, published by Packt☆1,685Updated 2 years ago
- Introducing neural networks to predict stock prices☆759Updated 5 years ago
- Portfolio analytics for quants, written in Python☆5,887Updated 3 months ago
- Use NLP to predict stock price movement associated with news☆844Updated 11 months ago
- Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Ti…☆2,074Updated 2 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆762Updated 9 years ago
- Portfolio Optimization and Quantitative Strategic Asset Allocation in Python☆3,473Updated last month
- A stock trading bot that uses machine learning to make price predictions.☆645Updated 3 years ago
- A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym☆1,796Updated 3 years ago
- Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity☆5,030Updated last month
- Find big moving stocks before they move using machine learning and anomaly detection☆1,818Updated 3 years ago
- A list of online resources for quantitative modeling, trading, portfolio management☆3,443Updated last year
- Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.☆5,457Updated last week
- Common financial technical indicators implemented in Pandas.☆2,201Updated 2 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆606Updated 2 months ago