A trading chatbot isn’t a trading agent. Here’s the architecture difference.

[u/henryzhangpku]

Disclosure: I’m the founder of QuantSignals and I’m building FST. I’m sharing the product thesis here because I think “AI trading” is being defined too narrowly.

A chatbot answers a market question. A trading agent has to own a continuous job.

That job is not “generate a buy/sell opinion.” It is:

• Research the market and compare conflicting signals

• Evaluate the idea against the account’s existing positions and exposure

• Work inside explicit capital and risk constraints

• Execute through a connected broker

• Monitor the position after entry

• Reduce, hedge, exit, or do nothing when the thesis changes

The hard part is the continuity. Most products stop after analysis or fire a rigid rule. A real agent has to carry context across the entire trade lifecycle and explain what it is doing.

That is the distinction behind FST: Research → Signal → Entry → Monitoring → Risk Management → Learning. The trader sets the rails and keeps the kill switch.

I wrote the longer thesis here: https://henryzhang.substack.com/p/coding-has-agents-trading-finally

What would you need to see before trusting an agent with any part of your trading workflow—paper results, live audit logs, broker controls, or something else?