TBD
Project description
isbtchot: BTC Hotness Index Dashboard
The isbtchot
package provides a minimalist terminal dashboard for visualizing Bitcoin's (BTC) hotness index. It utilizes historical BTC data to generate visualizations of BTC's price alongside the Hotness Index, directly in your terminal.
Features:
- Visualizes BTC candlestick plots with log scale options.
- Displays the Hotness Index based on proprietary indicators with buy/sell signals.
- Supports different time frames and custom period back settings to tailor the data.
- Offers multiple dashboard views including standard hotness index and power-law delta.
- Data is cached locally to expedite subsequent visualizations.
Installation
pip install isbtchot
Usage
You can run the main dashboard with flexible command-line options:
isbtchot [--periods_back P] [--time T] [--dashboard D]
--periods_back
,-p
: Specifies the number of periods back to process for generating the visualization. Defaults to 85.--time
,-t
: Specifies the candlestick time frame (e.g., Weekly, Monthly). Defaults to Weekly.--dashboard
,-d
: Choose the type of dashboard to display:isbtchot
for the standard hotness index orpower_law
for the power-law distribution analysis. Defaults toisbtchot
.
Command Line Arguments
Argument | Short Form | Description | Default |
---|---|---|---|
--periods_back |
-p |
Number of periods to be processed for the data visualization. | 85 |
--time |
-t |
Candlestick time to use (e.g., M for Monthly, W for Weekly). | W |
--dashboard |
-d |
Dashboard type to display: isbtchot or power_law . |
isbtchot |
Demo
Hotness Index Dashboard
Historically very reliable for bull market tops:
Power Law Delta Dashboard
Historically very reliable for bear market bottoms:
Notes
- For optimal visualization, maximize your terminal window.
- Data is fetched from CryptoCompare API and cached to enhance performance and responsiveness.
Contributions
Contributions are welcome! Please feel free to submit issues, enhancements, or pull requests. If you encounter a bug or have a feature suggestion, please open an issue on GitHub.
Project details
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