fincore - Linux

Overview

fincore is a powerful command-line interface (CLI) tool for exploring and analyzing financial data. It provides a comprehensive set of features for data retrieval, processing, and visualization. Fincore is designed to empower financial analysts, data scientists, and investment professionals with efficient data workflows and actionable insights.

Syntax

fincore [options] <command> [command-args]

Options/Flags

  • -h, –help: Display command usage and options
  • -v, –version: Show fincore version
  • -c, –config: Specify config file path (default: ~/.fincore/config.yaml)
  • -d, –debug: Enable debug mode for verbose logging

Commands

data: Manage financial data

  • get: Retrieve financial data for a specified asset or index
  • cache: Manage cached financial data
  • clean: Clear cached and temporary data
  • convert: Convert data between different formats

analysis: Perform financial analysis

  • stats: Calculate statistical measures on financial data
  • trends: Identify trends and patterns in data
  • forecast: Make financial projections and predictions
  • compare: Compare financial performance across assets or indices

visualization: Create data visualizations

  • plot: Generate financial charts and graphs
  • heatmap: Visualize financial data using heatmaps
  • table: Display data in tabular format

Examples

Retrieve financial data for Apple Inc.

fincore data get --symbol AAPL

Calculate moving average for Tesla’s stock price:

fincore analysis stats --symbol TSLA --indicator ma --interval 10

Plot a candlestick chart for the S&P 500 index:

fincore visualization plot --index ^GSPC --type candlestick

Common Issues

  • Unable to retrieve data: Check internet connection and ensure the data provider is supported.
  • Data visualization errors: Update graphics drivers or use a different plotting library.
  • Incorrect analysis results: Double-check data accuracy and ensure valid analysis parameters.

Integration

  • Python: Use Python scripts with the fincore package to automate data processing and analysis.
  • Jupyter: Integrate fincore commands in Jupyter notebooks for interactive data exploration.
  • Other CLI tools: Combine fincore with other command-line tools, such as grep or awk, for advanced data manipulation tasks.

Related Commands

  • yq: Process and query YAML files
  • pandas: Python library for data analysis and manipulation
  • matplotlib: Python library for data visualization