isbtchot 1.0.1

TBD

isbtchot: BTC Hotness Index Dashboard

The isbtchot package provides a minimalist terminal dashboard for BTC's hotness index. It uses historical BTC data to create both BTC's price and Hotness Index visualizations right in your terminal.

Demo

Features:

• BTC monthly candlestick plot with log scale.
• Hotness index based on PI with buy/sell signals.
• Data is cached to speed up subsequent requests.

Installation

pip install isbtchot

Usage

You can run the main dashboard with:

python -m isbtchot [year]

Where year is an optional argument to specify the number of years of data you want to visualize. By default, it uses 7 years of data.

Command Line Arguments

Argument	Type	Description	Default
year	int	The year to be processed. Determines the duration for data visualization.	7

Implementation Details

Directories and Files

• init.py: Contains root path to support relative paths in other modules.
• main.py: Main script to parse command-line arguments and invoke the dashboard.
• controller.py: The controller module orchestrates data retrieval and visualization.
• model.py: Manages data retrieval from CryptoCompare API and data processing.
• view.py: Handles all the terminal-based visualizations using plotext package.

BTC PI Calculation

The PI is based on the moving averages of BTC's daily price. Here's a brief overview:

• SMA111: 111-day Simple Moving Average of the price.
• SMA350x2: Double the 350-day Simple Moving Average of the price.
• PI: SMA111 / SMA350x2.

Sell and buy signals are determined based on the PI values:

• Sell Signal: When PI shifts from being >=1 to <1.
• Buy Signal: When PI shifts from being <=0.35 to >0.35.

Dependencies

• plotext: For terminal-based plots.
• pandas: For data manipulation.
• numpy: Mathematical operations.
• requests: To fetch BTC historical data.

Notes

• Ensure the terminal window is maximized for optimal visualization.
• Data is fetched from CryptoCompare API and cached locally for performance.

Contributions

Please raise an issue or provide a pull request for any enhancements, bug fixes or features you'd like to add.