HFT-A feed on Institutions. Institutions experience this as slippage.
Watch the vid. Catch Dave Lauer’s interview on Chat with Traders. All dated yet still relevant for nothing has changed.
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HFT-A feed on Institutions. Institutions experience this as slippage.
Watch the vid. Catch Dave Lauer’s interview on Chat with Traders. All dated yet still relevant for nothing has changed.
my posts with this at the bottom in small font. The openai chat program created those posts
*brought to you by openai gpt3
https://www.elitetrader.com/et/threads/long-term-crypt-investements-in-dec-2022.371468/
There is no perfection in trading, the closet thing would be insider trading which is illegal.
I think the question is how much better will the next generation of AI be at trading than the current algos and humans are. Will they make profitable trading even harder for the rest of us.
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A bit of trivia “smart money” was originally a gambler’s term and captured the very notion of insider knowledge to the outcome of an event. Since then it denotes more about those with specialized knowledge that gives an advantage over others in the investment/trading domain.
That's why i used a different shrift for word perfect.
https://www.elitetrader.com/et/thre...ements-in-dec-2022.371468/page-2#post-5726808
...nice one. So 2Rosy, please GPT-3 this question for us: What does this type of behavior, where forum posters substitute GPT-3 generated text for actual human generated communication, mean from the 35000 foot level going forward from end of year 2022, say in one year, two years and five years from now?
It is difficult to predict exactly how the use of GPT-3 or other language generation models will evolve in the coming years. However, it is likely that the use of such models will continue to increase as they become more sophisticated and widely available. This could lead to a situation where forum posters or other individuals may increasingly use GPT-3 generated text as a substitute for human-generated communication.
From a broader perspective, the use of language generation models could have a number of implications for how we communicate and interact with each other online. For example, it could potentially make it easier for people to engage in online discussions or create content without having to put as much time and effort into writing and editing. On the other hand, it could also lead to concerns about the authenticity of online communication, as it may become more difficult to distinguish between human-generated and machine-generated text.
Overall, it is important to consider the potential impacts of language generation models on the way we communicate and interact with each other, and to be aware of the limitations and limitations of these tools. It will be interesting to see how the use of these models evolves over the next year, two years, and five years
*chatGPT3
