Building a Multi-Asset Crypto Spot Grid Strategy
Summary
This article expands a single-pair spot grid into a system that can trade several crypto pairs with distinct settings. It explains practical design choices: collecting aggregated market prices and account balances, tracking assets by pair, and encoding per-pair grid spacing and order size in structured parameters. It also describes saving strategy state across restarts, retrieving exchange-specific precision and minimum-order rules, and using an adapter layer to handle differences between exchanges.
The author presents the strategy as an implementation exercise rather than a search for a universally profitable system. A live deployment is described as recovering from an initial one-sided market, but the author also reports that it was losing money at the time of writing and provides no systematic performance record. Grid trading can accumulate inventory during sustained directional moves, and the article does not quantify fees, slippage, or risk-adjusted returns. Its main contribution is the operational design guidance needed to move a multi-pair grid from a tutorial toward live trading.
Key ideas
- A multi-pair grid needs independent settings because price scales and suitable order sizes differ by asset.
- Aggregated market and account interfaces can simplify data collection across trading pairs.
- Persisting grid state lets a live strategy resume its prior logic after a restart.
- Exchange-specific precision and minimum-order constraints must be handled for live orders.
- The described deployment is not evidence of profitability and was reported to be losing money.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.