index / Alva vs OBaI

>_ Alva vs OBaI

Alva and OBaI, side-by-side. Compare the facts below, then pick the one that fits your workflow.

Alva

OBaI

one-liner

Converts investment theses and market narratives into live playbooks with backtesting, automation, data APIs, and 24/7 agent execution

Multi-agent platform for stock research, strategy backtesting, and prediction market analysis using MCP servers and autonomous agents

best for

users who want to turn investing ideas into repeatable, monitored workflows without manual data stitching or code.

developers and quantitative researchers building custom financial analysis workflows who need programmatic access to fundamentals, market data, options, backtesting, and prediction market intelligence via mcp-connected agents.

key feature

AI agent that turns ideas into executable, auto-refreshing investing playbooks

autonomous strategy iteration agent that designs, backtests, and refines trading strategies

who uses it

Retail

asset class

Multi-asset

function

AI Agents, Research

Research, AI Agents

instruments

Stocks, ETFs

Stocks, ETFs, Options

regions

Global

North America

pricing

FREE-$$

FREE

via

web, api, mcp, claude skill

cli, web, desktop, mcp

audience

retail

—

upvotes

about Alva

alva is an ai investing agent that converts investment theses, market narratives, screeners, and automation ideas into live playbooks that auto-refresh 24/7. it provides backtesting against 10 years of history, execution via alpaca/ibkr/binance, 100+ institutional-grade data apis (including alternative data), and connects to messaging apps or other agents via api/mcp/skills.

about OBaI

open-source multi-agent platform for stock research, strategy backtesting, and prediction market intelligence. uses a central hub to dispatch user queries to specialized agents (fundamentals, market data, events/news, options, screening, portfolio, backtest, research, prediction markets) running on mcp servers. includes an autonomous strategy agent that designs, backtests, and iterates on trading strategies using polars + polars-talib engine with train/test split validation.

Alva

Converts investment theses and market narratives into live playbooks with backtesting, automation, data APIs, and 24/7 agent execution

[↗] visit alva.ai

OBaI

Multi-agent platform for stock research, strategy backtesting, and prediction market analysis using MCP servers and autonomous agents

[↗] visit github.com

See full data, pricing and alternatives on the Alva profile page, or the OBaI profile page.

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