In Order stop

IN Order Stop is a parameter that allows traders to control when IN-orders are opened based on price deviation.

In Order Stop


How It Works:

  • If IN Order Stop > 0, the bot will only open IN-orders after the current price deviation exceeds the specified IN Order Stop value.

  • If the market changes direction (e.g., into a loss), all pending IN-orders are combined into a single cumulative order with a unified trigger. This improves the bot’s efficiency.


Example (Long Bot):

When the price is rising:

  • The bot places IN-orders spaced by the Grid Step, and each is monitored for price deviation based on IN Order Stop.

  • If the price continues to rise, IN-orders will be placed accordingly, but the first order will only be placed after the price deviates by the IN Order Stop value.

  • Grid Step remains unchanged, and subsequent orders follow the grid as usual.

When the price is falling:

  • The bot will not place the first order immediately on a price drop.

  • It waits for a reversal — the order is placed only after the price rises from the lowest point by the amount set in IN Order Stop.

If the price drops continuously without a pullback:

  • The bot will not place IN-orders at each grid level.

  • Instead, once the price reverses upward by the IN Order Stop value, the bot opens a single cumulative IN-orderthat represents the sum of all skipped orders, placing it with a unified trigger at the Target Distance.


Benefits:

  • Helps the bot open orders only after price direction changes, increasing the chance of entering at better levels.

  • Useful during volatile market moves, allowing the bot to wait for a reversal before committing capital.

  • Enhances potential profit by improving entry timing and avoiding poor entry points.


Important Notes:

  • IN Order Stop delays the first IN-order until the price changes by the set percentage value.

  • This parameter is available only in DEFAULT and DYNAMIC strategies.

  • It enables more flexible market response, avoiding order placement in unfavorable zones and improving average entry price in strong trends.

Last updated