This respository contains sample Jupyter notebooks used to demonstrate using the Gatsiva API via Python.
API access is currently limited to beta testers and collaborators. For more information on how to utilize the Gatsiva API or to request access, please visit the Gatsiva Website.
For more information on Jupyter and how to install and operate it, please visit the Jupyter Project website. We recommend installing Anaconda as the best way to run Python notebooks.
| Notebook Name | Purpose |
|---|---|
| gatsiva-symbol-price-example | Demonstrates how to use the Gatsiva symbol price transaction to retrieve prices for a cryptocurrency. |
| gatsiva-condition-status-example | Demonstrates how to use the Gatsiva condition status transaction. |
| gatsiva-condition-history-example | Demonstrates how to use the Gatsiva condition history transaction. |
| gatsiva-condition-all-returns-example | Demonstrates how to use the Gatsiva condition all returns transaction. |
| gatsiva-indicator-status-example | Demonstrates how to use the Gatsiva indicator status transaction. |
| gatsiva-analysis-correction-levels | Demonstrates utilizing the Gatsiva return profile transaction to show the profile of returns after various correction levels for Bitcoin. |
| gatsiva-analysis-return-results | Demonstrates how to visualize the distribution of returns after an event occurs. |
| gatsiva-resiliency-chart | Demonstrates how to use the Gatsiva condition return transaction to compare recovery of various crypto currencies after a correction. |