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 <h2 id="increasing-efficiency-using-ai">Increasing Efficiency Using AI</h2> 
 <p><span style="font-weight: 400">M-ELO on Nasdaq was created to connect investors with similar time horizons. Dynamic M-ELO, which was just approved, takes this concept in new directions. It employs real-time reinforcement learning AI to respond quickly to shifting market conditions.</span></p>  
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 <p><span style="font-weight: 400">Therefore, it may considerably improve the speed and efficiency of transactions. According to Nasdaq’s <a rel="noopener noreferrer nofollow" title="Category Analysis" href="https://thebittimes.com/analysis.html">Analysis</a> and testing, the new system improved fill rates by 20.3% while reducing mark-outs by 11.4%.</span></p> 
 <h2 id="ability-to-adapt-to-changes-in-the-market">Ability to adapt to changes in the market</h2> 
 <p><span style="font-weight: 400">Compared to earlier approaches, the Dynamic M-ELO system is a leap forward. Additionally, it constantly adjusts order hold durations based on market conditions, which it determines by </span><span style="font-weight: 400">analyzing </span><span style="font-weight: 400">over 140 data points every 30 seconds.</span></p> 
 <p><span style="font-weight: 400">This flexibility allows system parameters to be fine-tuned dynamically than in more static systems. Furthermore, Dynamic M-ELO strives to enhance liquidity and execution quality, which are only sometimes compatible objectives.</span></p>  
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 <p><span style="font-weight: 400">The president of Nasdaq’s market platforms, Tal Cohen, recently reaffirmed the exchange’s commitment to innovation over the long term.</span></p> 
 <blockquote> 
  <p><span style="font-weight: 400">“AI-powered Dynamic M-ELO encapsulates our ambition to improve the quality of our markets and underscores our commitment to delivering innovative products that benefit all market participants,” Cohen stated.</span></p> 
 </blockquote> 
 <p><span style="font-weight: 400">Potentially more turbulent present and future markets may be better handled by traders with this greater leeway.&nbsp; Nasdaq’s Executive Vice President of North American Trading Services, Kevin Kennedy, remarked, “We look forward to partnering and supporting market participants with best-in-class markets and innovative solutions.”</span></p> 
 <h2 id="focus-on-the-future">Focus on the Future</h2> 
 <p><span style="font-weight: 400">Nasdaq has introduced dynamic multi-exchange link optimization (M-ELO) and predictive AI to its US options markets. This modification is being introduced across all six of Nasdaq’s US options exchanges to </span><span style="font-weight: 400">boost efficiency</span><span style="font-weight: 400"> and cater to the demands of traders. Furthermore, Nasdaq may use AI to detect better fresh strike listings, increasing liquidity and operational efficiency.</span></p> 
 <p><span style="font-weight: 400">Nasdaq’s Dynamic M-ELO, an AI-driven algorithm that has received SEC approval, provides improved trading performance and adaptability. With AI, the business has modernized traditional trading strategies and given traders new options for navigating the increasingly complex financial market.</span></p> 
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<p>Source: <a rel="noopener noreferrer nofollow" target="_blank" href="https://thebittimes.com/sec-approves-nasdaq-s-ai-trading-advancement-tbt62100.html">https://thebittimes.com/sec-approves-nasdaq-s-ai-trading-advancement-tbt62100.html</a></p>

SEC Approves Nasdaq's AI Trading Advancement

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