The Market Is Becoming Programmable
A price gap can appear and disappear while a trader is still deciding whether the signal is real. Inventory can drift outside its target range overnight, and a large order can reveal too much intent before it has been fully executed.
Automated strategies are built for these moments: they translate a market view into rules that keep observing, deciding, and acting while human attention moves elsewhere.
By 2026, automated execution has become part of the market’s operating layer.
ℹ️ The Cambridge Center for Alternative Finance’s 2026 Global AI in Financial Services Report found that 52% of financial-services respondents were already piloting or deploying agentic AI, while 23% had reached the scaling or transforming stages.
These figures show where automated strategies are heading: deeper into everyday financial operations, where execution quality, controlled market impact and reliable settlement matter as much as the original trading signal.
From a Decision to a Settled Trade
Silvana is designed as the agent interaction layer for tokenized assets, giving agents the infrastructure required to turn decisions into actual financial operations.
Inside Silvana Book, an agent can submit or cancel orders and respond to real-time order, market, and settlement events and more. The agent makes the strategy decision, while the private matching engine performs the actual matching. Once orders are matched, the Coordination Layer converts the result into a settlement proposal and carries the trade into Canton’s Delivery-versus-Payment workflow.
ℹ️ An automated strategy can therefore react quickly without treating settlement as an afterthought.
Choose the Automation You Need
You can delegate market operations to agents built to act under predefined conditions.
✅ Silvana brings these agents together in Agent Space – a growing catalog of ready-to-explore implementations for trading, execution, portfolio operations, market intelligence, risk management, compliance, and supporting workflows. The current catalog already includes more than 80 agent implementations.
Here’s how Silvana agents can turn different market situations into automated actions:
| Market situation | What an agent can handle |
|---|---|
| Prices move into a target range | Place, update, or cancel orders |
| A large position needs execution | Break it into smaller controlled orders |
| Portfolio weights drift | Rebalance toward predefined targets |
| Exposure becomes too concentrated | Reduce activity or trigger protective actions |
| An opportunity appears elsewhere | Compare venues and act on the price difference |
| Market conditions become abnormal | Alert, pause, or stop the strategy |
These are just a few examples; explore more about automated strategies and agent capabilities also in our documentation.
Your Strategy Can Keep Working
Markets have always rewarded the ability to make good decisions.
Automated strategies add another advantage: the ability to apply those decisions consistently, repeatedly, and at machine speed.
Silvana provides the infrastructure that connects those decisions with tokenized assets, private execution, coordinated workflows, and Canton DvP settlement.
The strategy still begins with an idea. Now it can keep working long after you close the screen.
