Porting a Dynamic Bitcoin-Cash Rebalancer to Python

Summary

This tutorial ports a simple dynamic balance strategy from JavaScript to Python on the FMZ platform. The strategy compares account cash with the market value of the cryptocurrency holding, calculates half their difference, and places a buy or sell when the imbalance crosses a configurable threshold. It also demonstrates polling account and ticker data, checking minimum trade size, canceling pending orders, and using a saved backtest configuration.

The emphasis is on learning the platform’s API and seeing how similar the JavaScript and Python implementations are, rather than presenting a new trading method. The document includes backtest configuration and result images, but gives no textual performance figures or analysis from which to judge profitability. The strategy’s behavior remains dependent on threshold and order settings, while the short historical test configuration offers limited evidence about robustness. It is best read as a language-porting and interface example alongside the underlying rebalancing concept.

Key ideas

• The Python version implements a dynamic allocation rule that trades when cash and crypto holdings become imbalanced.
• The trade size is based on half the difference between cash and the marked value of the holding.
• The example demonstrates account, ticker, order, and pending-order calls in the FMZ API.
• The tutorial focuses on translating platform code between languages rather than evaluating a new strategy.
• The supplied backtest configuration and images do not establish performance beyond that test setup.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.