# huseinzol05/stock-prediction-models **Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/huseinzol05-stock-prediction-models).** 9,180 stars · 3,008 forks · Jupyter Notebook · apache-2.0 · archived ## Links - GitHub: https://github.com/huseinzol05/Stock-Prediction-Models - awesome-repositories: https://awesome-repositories.com/repository/huseinzol05-stock-prediction-models.md ## Topics `deep-learning` `deep-learning-stock` `evolution-strategies` `learning-agents` `lstm` `lstm-sequence` `monte-carlo` `monte-carlo-markov-chain` `seq2seq` `stock-market` `stock-prediction-models` `stock-price-forecasting` `stock-price-prediction` `strategy-agent` `trading-bot` ## Description This project is a suite of machine learning and statistical tools designed for stock price prediction, financial time series forecasting, and the execution of algorithmic trading strategies. It provides a collection of deep learning and statistical models used to forecast asset prices and market trends. The system includes a market scenario simulator that uses Monte Carlo sampling to generate potential price paths and estimate financial risk. It further features a portfolio optimization tool for calculating asset distributions to maximize returns based on historical volatility, as well as a market data analysis toolkit for identifying price outliers and extreme market conditions through clustering. The capabilities extend to the automation of trading decisions via a strategy engine and the use of ensemble machine learning techniques to improve forecasting accuracy. ## Tags ### Artificial Intelligence & ML - [Financial Price Forecasting](https://awesome-repositories.com/f/artificial-intelligence-ml/financial-price-forecasting.md) — Provides a comprehensive suite of deep learning and statistical models for forecasting stock prices and market trends. - [Deep Learning Forecasting](https://awesome-repositories.com/f/artificial-intelligence-ml/time-series-forecasting/deep-learning-forecasting.md) — Predicts future stock price movements using deep learning architectures and sequence modeling techniques. ([source](https://cdn.jsdelivr.net/gh/huseinzol05/stock-prediction-models@master/README.md)) - [Portfolio Optimization Algorithms](https://awesome-repositories.com/f/artificial-intelligence-ml/portfolio-optimization-algorithms.md) — Provides algorithms to balance expected returns against historical volatility for optimal asset allocation. - [Time Series Forecasting](https://awesome-repositories.com/f/artificial-intelligence-ml/time-series-forecasting.md) — Implements sequence modeling to predict future financial price movements using ensemble learning. - [Cluster-Based Outlier Detection](https://awesome-repositories.com/f/artificial-intelligence-ml/density-based-clustering/cluster-based-outlier-detection.md) — Implements anomaly detection using density-based clustering to identify extreme price movements and market conditions. - [Ensemble Learning](https://awesome-repositories.com/f/artificial-intelligence-ml/ensemble-learning.md) — Improves forecasting accuracy by combining multiple machine learning models through stacking and bagging techniques. ([source](https://cdn.jsdelivr.net/gh/huseinzol05/stock-prediction-models@master/README.md)) - [Stacking Ensembles](https://awesome-repositories.com/f/artificial-intelligence-ml/ensemble-learning/stacking-ensembles.md) — Combines multiple machine learning forecasts into a single output using a layered stacking architecture to improve accuracy. - [Market Analysis Agents](https://awesome-repositories.com/f/artificial-intelligence-ml/market-analysis-agents.md) — Evaluates financial data and identifies market opportunities through clustering and statistical analysis. - [Outlier Detectors](https://awesome-repositories.com/f/artificial-intelligence-ml/market-sentiment-analyzers/outlier-detectors.md) — Identifies price outliers and extreme market conditions using clustering and statistical study methods. ([source](https://cdn.jsdelivr.net/gh/huseinzol05/stock-prediction-models@master/README.md)) ### Business & Productivity Software - [Algorithmic Trading Engines](https://awesome-repositories.com/f/business-productivity-software/algorithmic-trading-engines.md) — Provides a core software platform for the automated execution of trading strategies based on ML agents. - [Automated Trading Execution](https://awesome-repositories.com/f/business-productivity-software/automated-trading-execution.md) — Automates the execution of trading decisions by applying mathematical models and ML agents to live market data. ([source](https://cdn.jsdelivr.net/gh/huseinzol05/stock-prediction-models@master/README.md)) ### Game Development - [Financial](https://awesome-repositories.com/f/game-development/simulation-engines/simulation-loops/monte-carlo-simulators/financial.md) — Simulates financial market uncertainty and price trajectories using Monte Carlo methods to estimate risk. ### Scientific & Mathematical Computing - [Asset Price Path Simulators](https://awesome-repositories.com/f/scientific-mathematical-computing/asset-price-path-simulators.md) — Generates potential future price paths and portfolio outcomes using stochastic processes and random sampling. ([source](https://cdn.jsdelivr.net/gh/huseinzol05/stock-prediction-models@master/README.md)) - [Monte Carlo Sampling](https://awesome-repositories.com/f/scientific-mathematical-computing/monte-carlo-sampling.md) — Uses random sampling to generate numerous potential price paths and estimate the probability of various portfolio outcomes. - [Algorithmic Trading](https://awesome-repositories.com/f/scientific-mathematical-computing/quantitative-finance/algorithmic-trading.md) — Provides the framework for automating the buying and selling of assets based on quantitative models. ### Part of an Awesome List - [AI and Machine Learning](https://awesome-repositories.com/f/awesome-lists/ai/ai-and-machine-learning.md) — Collection of ML and deep learning models for forecasting. - [Deep Learning Trading](https://awesome-repositories.com/f/awesome-lists/ai/deep-learning-trading.md) — Curated notebooks for deep learning and reinforcement learning models. - [Trading and Backtesting](https://awesome-repositories.com/f/awesome-lists/devtools/trading-and-backtesting.md) — Machine learning models for stock forecasting.