Python Spot Trading Helpers for Order Execution and Moving Average Crosses
Summary
This document presents a Python helper library for spot cryptocurrency trading. Its order functions support buying and selling with configurable market-taking or limit-style behavior, price offsets, maximum order chunks, retry delays, and minimum trade sizes. The routines poll account balances and open orders, cancel pending orders, and repeat submissions until the requested amount is filled or falls below the minimum. Returned trade information includes an average execution price and filled quantity. A separate helper computes the direction and magnitude of a recent moving-average or series crossover.
The material is implementation guidance rather than a trading strategy or performance study; it provides no backtest or execution-quality evidence. Its repeated polling and cancellation logic depends on the exchange interface and can encounter latency, partial fills, or changing balances. The library also contains compatibility handling for older Python versions and assumes particular platform-provided objects and functions, so it is not a drop-in general-purpose exchange client. Its main learning value is in illustrating order management and execution controls.
Key ideas
- Order helpers split requested trades into chunks subject to a maximum amount and minimum trade size.
- The library adjusts prices and retries or replaces orders according to the selected execution mode.
- Account and open-order polling supports handling frozen balances and partial fills.
- A crossover helper evaluates either supplied series or moving averages derived from market records.
- The code depends on platform-specific exchange functions and provides no evidence about execution performance.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.