41–50 of 212 posts
Watch a random number generator generate random numbers.
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I would guess that LLMs are biased towards making a positive assessment of ambiguous information, with specific social triggers prompting negative reaction.
Also it's hard to sell before buying, and it looks like it's only been going 2 days.
It is not, that's called shorting and its very common.
In fact alot of strategies that are market neutral work by shorting one stock while being long the other, or similarly a basket of stocks.
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I would guess that LLMs are biased towards making a positive assessment of ambiguous information, with specific social triggers prompting negative reaction.
Also it's hard to sell before buying, and it looks like it's only been going 2 days.
> The goal is to study how different LLMs interpret financial data and make decisions with real consequences. I don't really buy this. If the goal was to study how different LLMs interpret financial data there would be no use for actual trades, since their interpretation cannot be influenced by the fact that the trading orders are passed for real. I believe the goal is to see if AI can do better than rats [0]. There…
Technically every trade influences the stock, but I agree that it won't have any effect at all.
> I believe the goal is to see if AI can do better than rats [0]. There is no shame in that.
But even then you wouldn't have to perform real trades, you could still just calculate the profit as if trades would have happened.
I think the actual trading is just to make it more interesting.
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No stocks have been sold yet, so no profit/loss has been calculated, if you look below, you can see the unrealized gains for stocks being held.
I see, thank you. Can they short?
Is there any weighting towards selling in the negative? Else the LLM's should just hold their unrealised losses, and only sell post local peak - depends on their suggested measurement of success?
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Thanks! I use several key prompting techniques: 1. Role + Goal Setting: The AI acts as a creative market analyst focused on discovering overlooked opportunities and emerging trends. 2. Structured Analysis Framework: - Detailed evaluation criteria (innovation, moat, management, growth potential) - Sector diversity requirements - Focus on finding hidden gems vs obvious mega-cap tech stocks 3. Time-Bound Precision: Inst…
What’s the investment horizon for these daily decisions? Does it have a maximum hold time? How long will you run the experiment and is it enough to cover all the catalysts that are expected?