Releases·Agent Release
Robinhood rolls out trading agents to millions of users, per Fortune
Robinhood has rolled out trading agents to its millions of users, per Fortune coverage shared online. The move puts AI-driven trading assistance in the hands of retail investors at scale, a notable deployment for consumer-facing AI agents in finance.
128 engagement1 sourceTue, Sep 29, 2026, 11:53 PM
AI Overview
- Fortune reports Robinhood has rolled out trading agents to millions of users (2026-09-29).
Related
News·Company News
Robinhood rolls out agentic AI trading accounts for retail customers
Robinhood rolls out agentic AI trading accounts
Robinhood rolls out agentic AI trading accounts
3 engagement1 sourceredditFri, Oct 2, 2026, 07:01 PM
Releases·Tool Release
OpenTrade: open-source trading harness adds guardrails for Claude Code/Codex agents on Robinhood's MCP
Developers released OpenTrade, an open-source harness that lets Claude Code or Codex agents trade through Robinhood's official MCP with guardrails, scheduling, and multi-agent support. It addresses gaps that made raw agent trading risky: no proactive reaction to market events, portfolio-endangering mistakes, and conflicts when multiple agents share an account. For practitioners, it makes locally-run, supervised AI portfolio management practical.
Developers released OpenTrade, an open-source harness that lets Claude Code or Codex agents trade through Robinhood's official MCP with guardrails, scheduling, and multi-agent support. It addresses gaps that made raw agent trading risky: no proactive reaction to market events, portfolio-endangering mistakes, and conflicts when multiple agents share an account. For practitioners, it makes locally-run, supervised AI portfolio management practical.
2 engagement1 sourceredditTue, Sep 15, 2026, 04:11 PM
Products·launched
No-code autonomous Claude trading agent for Robinhood using MCP
A guide for building an autonomous AI trading agent that connects Claude Code to a Robinhood account via the Robinhood MCP. The agent scans a watchlist, evaluates setups against user-written rules, and executes trades automatically, configured through a plain text file. It targets retail traders who want rule-based automated trading without writing code.
A guide for building an autonomous AI trading agent that connects Claude Code to a Robinhood account via the Robinhood MCP. The agent scans a watchlist, evaluates setups against user-written rules, and executes trades automatically, configured through a plain text file. It targets retail traders who want rule-based automated trading without writing code.
26 engagement1 sourceredditTue, Sep 22, 2026, 03:37 AM
Products·launched
Delphi: AI trading agents built from plain-language strategies
Delphi lets users describe a trading strategy in plain language, then builds an AI agent that backtests it on historical data, lets them practice with simulated money, and can deploy to a brokerage. It aims to make automated trading accessible to people without coding or finance expertise, handling monitoring and execution so users don't have to watch markets or read stock forums constantly.
Delphi lets users describe a trading strategy in plain language, then builds an AI agent that backtests it on historical data, lets them practice with simulated money, and can deploy to a brokerage. It aims to make automated trading accessible to people without coding or finance expertise, handling monitoring and execution so users don't have to watch markets or read stock forums constantly.
1 engagement1 sourcehackernewsThu, Aug 13, 2026, 01:47 PM
Products·launched
Scalar Field: Automated trading from investment ideas to live execution
Scalar Field is a platform that turns investment ideas into automated trading strategies or actively managed portfolios. It uses LLMs to assist in research and strategy development, then handles backtesting, deployment, and live trading across multiple brokers. It solves the problem of bridging research and execution for individual investors and traders.
Scalar Field is a platform that turns investment ideas into automated trading strategies or actively managed portfolios. It uses LLMs to assist in research and strategy development, then handles backtesting, deployment, and live trading across multiple brokers. It solves the problem of bridging research and execution for individual investors and traders.
8 engagement1 sourceredditMon, Aug 3, 2026, 05:59 PM