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Auto Trader / Settings

Set position sizing and trading cadence

Control default SOL exposure, simultaneous positions, quick-entry presets, re-entry cooldown, and entry evaluation concurrency.

Dashboard/Auto Trader/Settings

Exposure

Trade size and max open positions

Presets

Reusable SOL entry amounts

Re-entry

Cooldown after closing a token

Performance

Concurrent entry checks

What the Settings tab is for

Settings contains the shared operating parameters that shape every automated entry. These values affect capital exposure and workload, so changes should be reviewed alongside risk exits and wallet balance.

Reading the interface

Use each control with the rest of the automated trading pipeline in mind.

Position sizing

These controls define the default capital footprint of automated trading.

Max Open Positions

Caps the number of positions Auto Trader may hold at the same time.

Default Trade Size

Sets the SOL amount used for a new automated position.

Preset Entry Sizes

Defines the reusable SOL choices shown by manual entry controls.

Timing and workload

These values reduce churn and control parallel evaluation.

Position Close Cooldown

Prevents reopening the same token until the configured time has passed.

Entry Check Concurrency

Controls how many candidate tokens are evaluated at once.

Monitor intervals

The monitoring cadence is defined by the application and is not editable in this tab.

Recommended workflow

  1. 1

    Calculate worst-case allocated SOL from trade size, maximum positions, and possible DCA additions.

  2. 2

    Set a conservative max-position count and default trade size.

  3. 3

    Use cooldown to prevent rapid re-entry into a token that just closed.

  4. 4

    Increase concurrency only when the local machine and data services can support the extra work.

Practical guidance

  • Capital planning should include transaction costs and wallet reserve, not only position principal.
  • Preset entry sizes affect manual controls; default trade size drives automated entries.
  • Higher concurrency improves scanning throughput but can increase CPU and upstream request pressure.