The Automated Trading Podcast by Advanced AutoTrades
Advanced AutoTrades Team
40 episodes
1 week ago
Send us a text This episode is an article providing a deep dive into the application of Artificial Intelligence (AI) in options trading as of 2025. The hosts examine where AI successfully adds value, such as in advanced pattern recognition, signal filtering, and adaptive risk modelling, stressing that AI acts primarily as a high-speed analytical assistant rather than a predictive tool. Conversely, the hosts caution against common AI limitations, including overfitting models, lacking real-worl...
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Send us a text This episode is an article providing a deep dive into the application of Artificial Intelligence (AI) in options trading as of 2025. The hosts examine where AI successfully adds value, such as in advanced pattern recognition, signal filtering, and adaptive risk modelling, stressing that AI acts primarily as a high-speed analytical assistant rather than a predictive tool. Conversely, the hosts caution against common AI limitations, including overfitting models, lacking real-worl...
The Automated Trading Podcast by Advanced AutoTrades
15 minutes
3 months ago
Option Moneyness: ITM, OTM, & ATM Explained
Send us a text This episode primarily explains option moneyness, categorising options as in-the-money (ITM), out-of-the-money (OTM), or at-the-money (ATM) based on the strike price's relationship to the underlying stock price. It clarifies how these classifications apply differently to call options and put options, offering examples to illustrate each type. Furthermore, the source differentiates between intrinsic value and extrinsic value in option pricing, highlighting that only ITM options ...
The Automated Trading Podcast by Advanced AutoTrades
Send us a text This episode is an article providing a deep dive into the application of Artificial Intelligence (AI) in options trading as of 2025. The hosts examine where AI successfully adds value, such as in advanced pattern recognition, signal filtering, and adaptive risk modelling, stressing that AI acts primarily as a high-speed analytical assistant rather than a predictive tool. Conversely, the hosts caution against common AI limitations, including overfitting models, lacking real-worl...
