Convert risk-approved opportunities into concrete trade proposals with allocation-aware sizing.
npx skills add https://github.com/0xb11a/crypto-claw --skill portfolio-0xb11a
Please help me install this Agent Skill. Skill: portfolio Source: https://github.com/0xb11a/crypto-claw/tree/main/agents/research/skills/portfolio Command: npx skills add https://github.com/0xb11a/crypto-claw --skill portfolio-0xb11a
This skill automates portfolio management by converting risk-approved opportunities into concrete trade proposals, enabling faster, rule-driven decision making.
Initiate a full portfolio rebalance by evaluating current allocations against targets and applying regime-aware rules
High-intent search queries and answers about installing and using this skill.
To automate portfolio rebalancing, you initiate a full review that evaluates current allocations against targets. The system then applies regime-aware risk controls to generate concrete, allocation-aware trade proposals.
A human-in-the-loop approval workflow for trade proposals requires user confirmation before executing recommended moves. This ensures rule-driven decision making while maintaining oversight of risk-based allocation changes across chains and tiers.
Yes, you can use allocation targets to generate trade proposals across multiple chains and tiers. The system loads configuration files to size trades dynamically and format them for approval based on your target allocations.
Converting risk signals into concrete portfolio moves happens after risk approval or during scheduled rebalance checks. The system formats approved opportunities into specific trade proposals with allocation-aware sizing and market regime awareness.
Yes, portfolio rebalancing works with scheduled checks and market regime awareness. The system applies regime-aware risk controls during automatic rebalance evaluations to ensure trade proposals align with current market conditions.
Automating trade proposals with risk controls requires prior risk approval before generating moves. The system depends on accurate config loading and allocation targets, and operates within the constraints of human-approval workflows and regime-aware guardrails.
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