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Trade like a fund. Bank like the future.

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© 2026 OpeniBank. Apache 2.0 License.

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Preview release: market data is live; execution, balances, and vault yields are simulated. Nothing on this site is an offer of banking, custody, or investment services, or financial advice. Digital assets are volatile — trade responsibly.

Docs/Bot Strategies/DCA and Grid Strategy Systems

DCA and Grid Strategy Systems

Production

Two baseline automation patterns for accumulation and range trading.

Objective

Offer configurable entry-level automation with clear parameters, deterministic behavior, and safety compatibility.

System Context

Bot Strategies

Reusable strategy packs for automated portfolio and execution management

View full system documentation

DCA Model

DCA strategies schedule periodic buys/sells with configurable cadence, budget, and asset universe.

Execution checks include available permit budget, rate limits, and configurable pause conditions.

Grid Model

Grid strategies maintain layered orders around a reference price with spacing and quantity parameters.

State includes active grid levels, fills, and re-anchoring logic after major drift.

Operational Limits

Both strategies must expose max allocation, stop triggers, and stale-data handling behavior.

Emergency stop and parameter hotfix paths should be available to operators.

Production Checkpoints

  • ✓Strategy parameters are schema validated
  • ✓Scheduled executions honor budget constraints
  • ✓Grid re-anchor events are logged and reproducible
  • ✓Stop conditions halt further order generation

Continue exploring

Bot Strategies

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