Adaptive Grid Trading on TradFi Perpetual Contracts
Summary
The article proposes an automated grid strategy for traditional-asset perpetual contracts listed on crypto exchanges. It ranks instruments by average daily high-low range, rejects those whose range is too small relative to grid spacing, then runs buy-low, take-profit-higher grids on the selected pairs. After a take-profit, the strategy reseeds the buy order at the same level. Periodic re-ranking rotates capital toward more active pairs, while a hysteresis threshold is intended to reduce unnecessary switching.
The write-up specifies example settings for grid spacing, range, leverage, scan cadence, and a portfolio-level stop that closes positions and halts trading after a drawdown. It identifies range-bound markets as the intended regime and warns that one-way moves can leave inventory beyond the grid, while off-hours liquidity and trading fees also matter. The article gives implementation logic and parameter examples, but no backtest or live results. Its claims that traditional assets are fundamentally anchored do not eliminate gap, leverage, liquidity, or trend risk.
Key ideas
- The selection rule ranks TradFi perpetuals by recent average daily price range and requires sufficient movement relative to grid spacing.
- Each grid buys below the market and places a take-profit sale one grid level higher, then resets after a completed cycle.
- Periodic pair rotation favors higher-range candidates, with hysteresis intended to limit turnover.
- A global equity drawdown stop, symbol exclusions, and leverage limits are proposed as risk controls.
- The method is designed for oscillating markets and can accumulate trapped inventory during a persistent one-way move.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.