{"id":26262220,"url":"https://github.com/yogeshsinghkatoch9/fincast-cli","last_synced_at":"2025-03-14T00:18:09.221Z","repository":{"id":280059046,"uuid":"940866515","full_name":"yogeshsinghkatoch9/FinCast-CLI","owner":"yogeshsinghkatoch9","description":"Advanced CLI for stock analysis and forecasting with ARIMA, LSTM, GRU, Transformers, and more.","archived":false,"fork":false,"pushed_at":"2025-03-01T01:00:22.000Z","size":13,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-01T01:19:25.479Z","etag":null,"topics":["arima","cli","deep-learning","finance","forecasting","gru","lstm","stocks","time-series","transformers","xgboost"],"latest_commit_sha":null,"homepage":"https://github.com/yogeshsinghkatoch9/FinCast-CLI","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/yogeshsinghkatoch9.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-01T00:11:36.000Z","updated_at":"2025-03-01T01:02:56.000Z","dependencies_parsed_at":"2025-03-01T01:19:26.981Z","dependency_job_id":"10e9baf3-fbad-47a3-8e38-622d4ce38a3a","html_url":"https://github.com/yogeshsinghkatoch9/FinCast-CLI","commit_stats":null,"previous_names":["yogeshsinghkatoch9/fincast-cli"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yogeshsinghkatoch9%2FFinCast-CLI","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yogeshsinghkatoch9%2FFinCast-CLI/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yogeshsinghkatoch9%2FFinCast-CLI/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yogeshsinghkatoch9%2FFinCast-CLI/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yogeshsinghkatoch9","download_url":"https://codeload.github.com/yogeshsinghkatoch9/FinCast-CLI/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243500773,"owners_count":20300775,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["arima","cli","deep-learning","finance","forecasting","gru","lstm","stocks","time-series","transformers","xgboost"],"created_at":"2025-03-14T00:18:08.535Z","updated_at":"2025-03-14T00:18:09.182Z","avatar_url":"https://github.com/yogeshsinghkatoch9.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# StockForecast CLI\n\n**StockForecast CLI** is a user-friendly command-line tool for stock analysis and forecasting. It combines statistical models (ARIMA), deep learning (LSTM, GRU, Transformer-based forecasting), ensemble methods (RandomForest, XGBoost), and technical analysis libraries to offer a comprehensive solution for financial data analysis. In addition, it integrates sentiment analysis (FinBERT), model interpretability (SHAP), and interactive visualizations (Plotly).\n\n---\n\n## Features\n\n1. **Data Acquisition \u0026 Preprocessing**  \n   - Download historical stock data from Yahoo Finance.  \n   - Clean data and handle missing values using forward-fill and interpolation.\n\n2. **Technical Indicators**  \n   - Automatically compute indicators such as SMA, EMA, MACD, RSI, Bollinger Bands, On-Balance Volume, and more.\n\n3. **Forecasting Models**  \n   - **ARIMA:** Log-transformed time series forecasting.  \n   - **LSTM \u0026 GRU:** Deep learning approaches using TensorFlow/Keras.  \n   - **Ensemble Methods:** RandomForest and XGBoost.  \n   - **Transformer-Based Forecasting:** Advanced predictions using attention mechanisms.  \n   - **Ensemble Forecasting:** Combine multiple model outputs for robust forecasting.\n\n4. **Model Evaluation**  \n   - Evaluate forecasts with RMSE, MAE, MAPE, and R².  \n   - Visualize actual versus predicted values.\n\n5. **Interactive Visualizations**  \n   - Generate interactive candlestick charts and forecast plots with Plotly.\n\n6. **Sentiment Analysis**  \n   - Analyze news headlines with FinBERT to gauge market sentiment.\n\n7. **Portfolio Management**  \n   - Use simple commands to add stocks to a portfolio, view holdings, or clear the portfolio.\n\n8. **Model Interpretability**  \n   - Leverage SHAP for unified explanation graphs to interpret model predictions.\n\n9. **Rich CLI Commands**  \n   - Retrieve raw or preprocessed data, technical indicators, evaluate models, run forecasts, and more.\n\n---\n\n## Installation\n\n### 1. Clone the Repository\n\n```bash\ngit clone https://github.com/yogeshsinghkatoch9/StockForecast-CLI.git\ncd StockForecast-CLI\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyogeshsinghkatoch9%2Ffincast-cli","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyogeshsinghkatoch9%2Ffincast-cli","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyogeshsinghkatoch9%2Ffincast-cli/lists"}