abalgir

I see your points. The difference is that I do not intervene nor I select the strategy. The algo can decide if it buys/close position on stocks , bonds, stock options. Depending on the macro economy and situation, strategy adapt (again with no human intervention ). Also the algo analyzes every night several thousands stocks from European , Asian and US markets.

No, bull market or bear market- this is why it is a trading Algo. You have to make sure you make a reasonable profit in both directions.

It seems you never built an intelligent one!

I built a trading algo that gave me a 29% return over the year > $500 month. I applied the lessons I learned while building major trading solution like Murex and Calypso.

And now finalizing an open source development harness that I hope will be successful and will drive consulting business in AI. Check www.nomorehappypath.com

I have found that building a strict pipeline (custom dev) around the agents helps keep them honest and focused. But it's complex development; the agent model and effort don't guarantee good results. For now, having multiple agents from different companies check each other and the surrounding code is the best way to ensure excellent results.

Totally agree, they need a strong harness to make them work

I like to accept the concept that even with AI, we will have bugs, and we need to live with this reality.

Don't you think we should build infrastructure around the AI with a watcher (yes, another AI) that makes sure AIs don't deviate or drift? I.e., we can ask the dev AI to submit its test ledger as a contract, the reviewer AI to submit its own as another contract, and the watcher to monitor contract executions for deviations.

Then I see what you might say: Who monitors the watcher? -:(