https://github.com/yogeshsinghkatoch9/fincast-cli

Advanced CLI for stock analysis and forecasting with ARIMA, LSTM, GRU, Transformers, and more.
https://github.com/yogeshsinghkatoch9/fincast-cli

arima cli deep-learning finance forecasting gru lstm stocks time-series transformers xgboost

Last synced: over 1 year ago
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Advanced CLI for stock analysis and forecasting with ARIMA, LSTM, GRU, Transformers, and more.

• Host: GitHub
• URL: https://github.com/yogeshsinghkatoch9/fincast-cli
• Owner: yogeshsinghkatoch9
• Created: 2025-03-01T00:11:36.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-01T01:00:22.000Z (over 1 year ago)
• Last Synced: 2025-03-01T01:19:25.479Z (over 1 year ago)
• Topics: arima, cli, deep-learning, finance, forecasting, gru, lstm, stocks, time-series, transformers, xgboost
• Language: Python
• Homepage: https://github.com/yogeshsinghkatoch9/FinCast-CLI
• Size: 12.7 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# StockForecast CLI

**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).

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## Features

1. **Data Acquisition & Preprocessing**  

   - Download historical stock data from Yahoo Finance.  

   - Clean data and handle missing values using forward-fill and interpolation.

2. **Technical Indicators**  

   - Automatically compute indicators such as SMA, EMA, MACD, RSI, Bollinger Bands, On-Balance Volume, and more.

3. **Forecasting Models**  

   - **ARIMA:** Log-transformed time series forecasting.  

   - **LSTM & GRU:** Deep learning approaches using TensorFlow/Keras.  

   - **Ensemble Methods:** RandomForest and XGBoost.  

   - **Transformer-Based Forecasting:** Advanced predictions using attention mechanisms.  

   - **Ensemble Forecasting:** Combine multiple model outputs for robust forecasting.

4. **Model Evaluation**  

   - Evaluate forecasts with RMSE, MAE, MAPE, and R².  

   - Visualize actual versus predicted values.

5. **Interactive Visualizations**  

   - Generate interactive candlestick charts and forecast plots with Plotly.

6. **Sentiment Analysis**  

   - Analyze news headlines with FinBERT to gauge market sentiment.

7. **Portfolio Management**  

   - Use simple commands to add stocks to a portfolio, view holdings, or clear the portfolio.

8. **Model Interpretability**  

   - Leverage SHAP for unified explanation graphs to interpret model predictions.

9. **Rich CLI Commands**  

   - Retrieve raw or preprocessed data, technical indicators, evaluate models, run forecasts, and more.

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## Installation

### 1. Clone the Repository

```bash

git clone https://github.com/yogeshsinghkatoch9/StockForecast-CLI.git

cd StockForecast-CLI