Thesis Driven Investing Platforms

Diving deeper into

Jon Ma, CEO of Artemis, on building 24/7 AI agents for trading & investing

Interview
I don't think what they've built as it exists today really works.
Analyzed 5 sources

The real gap in social investing is not trust in whether a trade happened, it is trust in why the trade should matter. Robinhood Social verifies identity and trade activity, but the product is still built around a feed of moves, comments, and one tap trade initiation. That works for discovery and engagement. It does not by itself help someone build an investment case, compare alternatives, or decide position size with confidence.

  • Robinhood has positioned Social for active traders, not long term investors. The beta launched as a trading community with live verified trades, strategy discussion, and cross asset trading across stocks, options, crypto, futures, and prediction markets, which makes it closer to market chat with execution than to a research product.
  • A different model is emerging around turning ideas into explicit theses or rules. Composer by SoFi is built to let users describe a view in plain language, backtest it, and automate execution, while Artemis is pushing toward research, models, and investment theses as the core object instead of the trade itself.
  • The precedent from Commonstock helps explain the limit. A feed for investing can attract attention during speculative periods, but the durable product has to add analysis that changes a decision. In this market, the bottleneck has shifted from access to trades toward forming conviction across many possible assets.

The next generation of investing products will look less like social media for trades and more like software for underwriting a view. The winning interface will combine thesis writing, model building, evidence gathering, and automated execution, with the brokerage sitting underneath as plumbing and custody.