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LangAlpha is an open-source agentic trading workspace. Turn an investment idea into parallel research, traceable reports, and trades through connected brokers such as Robinhood and moomoo. Analyze global equities, crypto, gold and commodities; keep monitoring with automations. Persistent memory carries your thesis forward, while permissions and approval controls keep you in charge.
Hi Product Hunt! We're building LangAlpha , The harness for agentic trading. Open-source AI agents that research the market, build the thesis, and trade your own brokerage account within the permissions you set.
An investment idea should not disappear into a chat history. LangAlpha gives it a persistent workspace, a team of specialist agents, and tools to turn the research into action.
What you can do:
• Research global equities, including the U.S., Hong Kong, mainland China, Japan, South Korea, Germany and India, plus crypto, gold and other commodities.
• Run parallel research and inspect the sources, data and calculations behind the results.
• Get finished PDF reports, Excel workbooks, slide decks and dashboards.
• Connect supported brokers, including Robinhood and moomoo, to move from research into trading.
• Keep your thesis up to date with scheduled and market-triggered automations.
You control the trading permissions. Orders require approval by default; higher autonomy is an explicit choice. Market-analysis coverage and broker execution support are separate.
LangAlpha is open source and supports self-hosting. Extend it with your own skills, plugins and MCP connections.
Try it: https://langalpha.ai
Source: https://github.com/ginlix-ai/Lan...
What would you delegate first: pre-market research, an earnings deep dive, or monitoring a trading thesis? We'd love to hear what works and what needs improving.
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About LangAlpha on Product Hunt
“The Opensource Claude Code for agentic trading”
LangAlpha was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #392 on the daily leaderboard. LangAlpha is an open-source agentic trading workspace. Turn an investment idea into parallel research, traceable reports, and trades through connected brokers such as Robinhood and moomoo. Analyze global equities, crypto, gold and commodities; keep monitoring with automations. Persistent memory carries your thesis forward, while permissions and approval controls keep you in charge.
LangAlpha was featured in Fintech (47.7k followers), Investing (26.8k followers), Crypto (39.8k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 67.6k products, making this a competitive space to launch in.
Who hunted LangAlpha?
LangAlpha was hunted by Leon Li. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how LangAlpha stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Leon Li