Almanak

Spin up an on-chain agent that watches markets for you and executes your playbook 24/7. With Almanak, you define what to trade, when to act, and how to control risk—then let the agent handle the clicks. Start by connecting your wallet, selecting a network, and choosing a ready-made template (DCA buyer, liquidity rotator, collateral balancer, yield harvester). Customize triggers such as price thresholds, volatility bands, oracle signals, or time windows. Chain actions in sequence: swap tokens, add or remove liquidity, shift collateral, claim and restake rewards, or move to stablecoins. Review the plan, fund the agent if needed, and deploy.

Tighten control with guardrails that keep execution safe. Set max slippage, per-interval spend limits, and gas budgets. Add cool-down periods to avoid churn, define trading hours, and build circuit breakers that halt activity after abnormal moves. Create if/else paths and fallback actions, so if an oracle fails or liquidity is shallow, the agent retries, routes differently, or pauses. Monitor everything in a live dashboard: see recent decisions, filled transactions, and pending tasks. Turn on alerts to get Telegram/Discord/email pings on fills, skips, or errors. Pause, resume, or edit the policy without redeploying core logic.

Use Almanak to automate day-to-day portfolio work. Keep allocations on target with drift-based rebalancing across spot assets or liquidity positions. Manage lending risk by watching health factors, repaying partial debt when thresholds are hit, or boosting collateral during volatility. For LPs, dynamically adjust Uniswap v3 ranges, rotate between pools when fee APRs shift, or harvest and compound incentives on a schedule. Build DCA ladders with budget caps, staggered orders, and time-slicing to reduce impact. When markets heat up, instruct the agent to trim exposure, realize gains, or hedge with predefined actions.

For builders and quants, go deeper with a visual builder or code-based configuration. Compose multi-step flows, import oracle feeds, and add webhooks to react to external events. Test changes on a fork or testnet, simulate triggers against historical data, and push updates safely. Optional AI guidance can suggest parameter tweaks—like widening LP ranges in high volatility or tightening slippage during thin liquidity—while you retain final approval. Some ML-driven features are rolling out progressively; the core automation is production-ready today. Almanak makes it practical to run systematic, rules-driven operations onchain without babysitting every move.