Designing a Risk-Aware Martingale-Like Crypto Futures Strategy

Summary

This article walks through the design of a simple martingale-like strategy for crypto perpetual futures. It explains how to retrieve total account equity when an exchange API exposes it differently from available balance, and defines helper routines for canceling orders and opening or closing long and short positions. The main loop places opposing orders around the latest price when flat; after a position opens, it places a take-profit order and a same-size add-on order on the other side. Unlike a classic martingale, the add-on quantity is not increased.

The example also covers precision settings, simulated exchange mode, persisted starting equity, and monitoring order IDs to detect fills and restart the cycle. It shows a backtest around a volatile market session, but provides no numerical performance evidence in the text. The author emphasizes that the approach remains risky and that parameter choices affect exposure. The sample is intended for learning, not as evidence of a robust live strategy.

Key ideas

• The strategy places opposing futures orders around the current price when it has no position.
• After entry, it pairs a take-profit order with a same-size add-on order.
• Exchange-specific equity retrieval is used to track account-level gains and losses.
• Order precision, state recovery, and fill monitoring are part of the implementation design.
• The approach retains substantial risk despite avoiding increasing add-on size, and the example is educational.

Tags

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