In short
AI Today Podcast Episode Notes
Episode Title
Breaking Down SEC's Approval of Nasdaq's AI-Driven Order Type
Episode Overview In this episode, the hosts discuss the recent approval by the SEC of Nasdaq's innovative AI-driven order type, termed the dynamic midpoint or M-ELO. The episode explores its implications for trading strategies and market dynamics, emphasizing the potential enhancements in the speed and efficiency of market transactions.
Key Points Discussed
- SEC Approval of AI-Driven Order Type
- Nasdaq Inc. received approval from the SEC to introduce the market's first AI-driven order type, the dynamic midpoint (M-ELO).
- This development could significantly impact the speed and efficiency of trades in the stock market.
- Purpose and Functionality of M-ELO
- The dynamic midpoint enhances the existing M-ELO, which was first launched in 2018 and designed for long-term investors.
- Key features include:
- Operates with a 10 millisecond waiting period allowing long-term investors to interact more effectively.
- Uses reinforcement learning to observe market behavior and adjust the holding period in real-time.
- Aims to accelerate trade matching and minimize market impact, optimizing trading outcomes.
- Performance Metrics and Outcomes
- Promising results reported by Nasdaq include:
- 20.3% increase in fill rates.
- 11% reduction in market "markouts," indicating improved trade quality and execution.
- Discussed how these metrics signify the transformative potential of AI solutions in capital markets.
Insights from Experts
- Owen Lau, a senior analyst from Oppenheimer & Co., noted:
- The new order type could increase order fill rates and reduce holding times, potentially allowing Nasdaq to capture market share from competitors.
- The hosts provide a layman's perspective on how AI can simplify and enhance trading strategies, particularly for large investors or "whales."
Implications for the Future
- The approval of the AI-driven order type is positioned as a potential revolution in trading, significantly altering modern trading landscapes.
- The hosts express enthusiasm for the future developments in AI within financial markets, suggesting ongoing monitoring of its impacts.
Conclusion The episode emphasizes the significant role that AI technology is beginning to play in the financial sector, particularly in enhancing trading efficiencies and strategies. The hosts conclude with a commitment to keep listeners informed about future advancements in this area.
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Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00So the interesting thing here is that Nasdaq Inc. has just received the green light from the United States Security and Exchange Commission, of course, the SEC, to introduce the market's first AI-driven order type. So this groundbreaking development has the potential, I believe, to significantly enhance the speed and also the efficiency of an already very high-velocity market. You know, the stock market right now is crazy. All sorts of stocks are on a tear, and there's all sorts of very interesting things that are happening right now in that space. But in any case, this approved order type, which is known as the dynamic midpoint, extends life order or M-ELO, and it aims to accelerate the rate at which trades are matched and to minimize market impact.
0:46So both of these are crucial factors to optimizing trading outcomes for investors. But essentially with the SEC has opted not to comment on the matter. So that's an interesting stance. And Nasdaq's announcement comes at a time when the interest in AI applications in the capital markets is steadily growing. So traders employ various different order types as programmed instructions to guide exchanges in the handling of their trades. And the M-ELO or M-ELO initially launched back in 2018 and it's strategically designed for investors who play the long game. So it operates on a 10 millisecond waiting period to enable longer term investors to interact and trade with one another.
1:34So the dynamic iteration of M-ELO is particularly innovative as it utilizes a form of AI known as reinforcement learning, obviously, right? And this AI technology observes market behavior and makes real-time adjustments to the holding period. So the ultimate goal is to enhance both the quality of trade executions and the percentage of orders filled in the market. And according to Nasdaq's own research, the AI infused order type has delivered promising results. So they say that there is a 20.3 % increase in fill rates and an 11 % reduction in market or in markouts. So these statistics underscore I think the potentially transformative impact of AI powered solutions in capital markets.
2:20Now, I'm definitely not a financial guru. I am no expert in this field. But from the layman's understanding, let me give you the layman's understanding of this. And I'm sure if there are people that are, you know, if there is incredible traders, make sure to join our Facebook group and give your own comments on this. But from my understanding of this, from someone that is not, again, not financial advice and not a not a financial guru, I've seen this in a small scale. So back when the crypto markets were a rip in two years ago, I saw this in a sense where I would very frequently, if you try to sell low cap coins or coins with, you know, like they're not very popular, they're kind of these alt coins, these smaller coins.
3:03The problem would be there's only so many buyers and sometimes it's hard to find buyers. So there's something you could do where essentially you would adjust the rate that you would sell these coins. you pretty much put a discount on them. So you're like, I will sell my coin for the market rate, or up to like, you know, 10 % lower than that rate. And there's some other adjustments you could do. Anyways, you pretty much have to increasing your, you'd have to keep increasing your discount rate, I forget what the technical term for that is, until a point where it's gonna just like sell instantly.
3:38Now, I'm assuming this is the same issue that we're seeing right now with these long term traders, when they say long term traders, I'm assuming that also means quote unquote whales, right? These are these big traders. They have really big, they have super large portfolios. And so when they're trying to liquidate, I'm assuming that that's a little bit tricky. So with this new AI system, essentially, they're getting a 20 % increase in fill rates. So I'm believing that the fill rate, like it's easier for them to actually fill the sale at the right price with this AI, the way that it's selling it.
4:11And it's having an 11 % reduction in markouts. So that's my basic understanding of it. If I'm incorrect, feel free to correct me. But Owen Lau, who is a senior analysis at Oppenheimer & Co., he highlighted the competitive advantages of this new development and what it could offer the NASDAQ. And this is what he said, quote, this new order type can increase order fill rate and reduce holding times if successfully implemented, which could help NASDAQ take market share from other exchange operators. So this is interesting because this is, you know, not necessarily, this is obviously something that benefits the quote unquote consumer, whoever is consuming these services, right?
4:51The traders and whatnot. But by being able to more effectively fulfill these trades, you know, they're arguing that the NASDAQ itself, the entire exchange that hosts the entire, the, you know, many stock companies, obviously the NASDAQ isn't the only stock exchange, but they're saying this is actually going to help the NASDAQ as a whole to, you know, essentially take market share from other exchange operators, so its own competitors. So very interesting. People are quite bullish on this, right? They're literally saying this is going to make the entire NASDAQ do better. Very interesting to see how this plays out.
5:24I think in summary of this whole thing, NASDAQ's kind of newly SEC approved AI driven order type has the capability not just to revolutionize trade executions, but also to underscore the really big role of artificial intelligence in financial markets. So with early metrics indicating improved efficiency and performance, I think the new order type could potentially significantly alter the landscape of modern trading. Definitely an area we'll be following into the future and I'll keep you informed on.
From the publisher
In this episode, we dissect the recent approval by the SEC of Nasdaq's AI-driven order type, exploring its potential impact on trading strategies and market dynamics.
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