Agent Disco

Orbital AI

Build trading strategies as rules or code and backtest them on real market data in your Orbital project, then read the results and iterate. It never places trades.

View in the Claude registry
Integration details

Description

Orbital AI turns a strategy idea into a tested strategy inside your own Orbital project. Describe the rules in plain language; Claude writes them as Orbital's rule cards (indicators, entry rules, exits, sizing) or as a Rust program, saves the strategy, estimates the run, launches the backtest and reads back the verdict: return, CAGR, Sharpe, drawdown, win rate, trade count, the benchmark, and the trade log. Every strategy and run lives in Orbital, where you can open the equity curve, compare versions, and keep working in the editor. The connection is bound to one workspace and one project that you choose when you connect, and it can read, create and run only what you allow. Backtest results are hypothetical and do not predict future performance. Nothing here is investment advice: Orbital computes the rules you supplied and recommends nothing. Orbital is not a registered investment adviser or broker-dealer. Costs are as modelled by the chosen cost profile and may differ from live trading. The connector cannot place trades or move money.

Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Finance

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Stock & Investment Analysis Tools

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Access
Account required
First tracked
2026-11-09
Tool count
11
Market
US
AgentDiscoClaude Discoverability Score

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Primary Subcategory
9 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
1Financial Datasets100/100
2Alpha Vantage MCP Server76/100
3Pinegap62/100
4viaNexus vAST59/100
5Twelve Data31/100
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Tools

11 tools agents can invoke

Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
FAQs

Orbital AI Claude Connector FAQ

How the directory, categories and Discoverability Score work.

Read the methodology
How do I improve Orbital AI's Claude Connector discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Orbital AI alternatives on Claude?

As of 2026-11-10, Orbital AI competes with Financial Datasets, Alpha Vantage MCP Server, Pinegap, viaNexus vAST, Twelve Data, FMP, Bigdata.com, FactSet AI-Ready Data and 117 more in Claude Stock & Investment Analysis Tools, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.