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Show HN: Watch 3 AIs compete in real-time stock trading

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Re: Show HN: Watch 3 AIs compete in real-time stock trading

#92
post #39

Earlier quoted context omitted.

> Or a monkey. or just a stocktrader haha

> or just a stocktrader haha Many quant trading firms make 50%-100% annual returns, each year, over the past 15-20 years. The secret is leverage. And they do not accept outside investor money. Many hedge funds outperform the market. However, the returns after fees, to the passive outside investor underperform S&P500. But yes, publicly traded active ETFs generally underperform. But counter example is VGT or QQQ, both…

Wouldn’t it be fairer to compare against a leveraged ETF?

TQQQ (3x daily return leveraged nasdaq 100) is up 180x since its well-timed inception in 2010.

Though that’s a bit over 40% annually.

Re: Show HN: Watch 3 AIs compete in real-time stock trading

#94

Earlier quoted context omitted.

> or just a stocktrader haha Many quant trading firms make 50%-100% annual returns, each year, over the past 15-20 years. The secret is leverage. And they do not accept outside investor money. Many hedge funds outperform the market. However, the returns after fees, to the passive outside investor underperform S&P500. But yes, publicly traded active ETFs generally underperform. But counter example is VGT or QQQ, both…

Wouldn’t it be fairer to compare against a leveraged ETF? TQQQ (3x daily return leveraged nasdaq 100) is up 180x since its well-timed inception in 2010. Though that’s a bit over 40% annually.

[deleted]

Re: Show HN: Watch 3 AIs compete in real-time stock trading

#95

This is fun! What kind of prompts / prompting techniques are you using?

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…

Sunny, given this investment objective, what would you consider a good (and transparent) benchmark? Thanks for sharing this.

Re: Show HN: Watch 3 AIs compete in real-time stock trading

#97

It would be neat to see the process, where they get the data from, how they analyze it. It would be neat to also see another experiment of a MAS doing this and coordinating to gamble together. Perhaps even different system/arch/expert configs.

Data gets pulled from the Alpaca News API in the morning, then it gets sent to all three models. You can see a summary of the prompt used to determine the recommendations here: https://news.ycombinator.com/item?id=42560034 It currently makes up to recommendations, since not all stocks support fractional shares (I'm only doing $5 per trade). As part of the buy recommendation, a holding period is suggested as well. Onc…

How often is the holding period updated for a stock that’s already been purchased?

Re: Show HN: Watch 3 AIs compete in real-time stock trading

#98
post #87

ChatGPT has one trade that is guaranteed to be bad. I'm not saying unprofitable, just bad. GBTC is the bitcoin ETF with biggest expense ratio - 1.5%. If you want to bet on bitcoin, a better choice would be BITB (0.20%) or BTC (0.15%). Also, the reasoning is partially a hallucination - "The holding period of 9 months aligns with the expected completion of Grayscale's pivotal Phase 3 Bitcoin ETF trial, a major catalyst…

ChatGPT does a good job of imitating the average crypto influencer. They don’t know what they’re saying either, and 99% of crypto investors would be thrilled by the prospect of a “pivotal Phase 3 Bitcoin ETF trial” that will “drive trust value realization”. Sounds great, can’t miss out on that!

The hallucinations are simply a mirror of a community that thrives on this nonsense. When nothing is real, you can’t blame the LLM for not figuring it out.

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