Spot grid: orders at price levels
Illustrative pricePrice levels
54321BuySellBuySell

Orders follow predefined levels. A move beyond the range can leave you holding a falling asset or missing a continuing rise.

Hypothetical educational diagrams. Not market data, backtests or Pionex settings.

A hypothetical range

Imagine an asset trading in an invented range between 80 and 120 units. A hypothetical strategy buys at selected lower levels and sells inventory at higher levels according to its configured rules. Repeated movement between levels may complete trading cycles. This example is a mechanism illustration, not actual Pionex execution data or a recommendation.

More levels do not automatically mean a better outcome. Closer spacing can mean smaller gross differences between buy and sell prices, while each fill still has execution costs. Capital requirements, order minimums and the platform’s exact implementation also matter.

When price falls below the range

If the asset keeps falling, the strategy may be left holding inventory worth less than its purchase price. Previous completed cycles do not cancel the decline. A dashboard can show positive realized grid gains while the combined inventory and cash position is down.

Changing the range downward is a new decision that changes exposure. It is not a free repair. Ask whether you would voluntarily buy the resulting inventory now, rather than assuming a rebound must happen.

When price rises above the range

A strategy that has sold inventory along the way may participate less in a continuing rise than simply holding the asset would have. That is opportunity cost, even if completed trades made a gross gain.

A comparison needs consistent starting capital, dates, fees and treatment of open positions. Selecting only successful cycles does not measure the result of the whole strategy.

Measure the whole position

Track the current value of all assets and cash, plus any amounts withdrawn, against what was deposited. Include execution costs. This is a more useful starting point than counting winning trades.

An exit plan should state what conditions invalidate the strategy and what exposure remains when the bot stops. Check the current official guide for the exact stop behavior before enabling any product.

Questions to answer on paper

  • Why should this range be relevant, and what would invalidate that assumption?
  • How much of my allocation could become inventory after a decline?
  • Would the trade spacing still make sense after repeated fees and slippage?
  • What happens if the platform is unavailable at my planned exit?

Sources & further reading

Official documentation describes product terms. It is not independent evidence of performance. Details can change.

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