This podcast contains an excerpt detailing the top 40 high-volume trades recorded midday on November 6, 2025, specifically around 10:35 AM. For each listed financial instrument, such as SQQQ, NVDA, and TSLA, the source provides various trading metrics like the current price and volume for the day so far. Key data points include the IV Rank (Implied Volatility Rank), the price's valuation relative to pre-market, daily, and hourly time frames, and its position concerning 200-day and 200-hour moving averages. The information also specifies current volume ratios compared to the previous day and hour, along with the buyer/seller direction and the observed power trend.

Disclaimer:

The content in this podcast is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. The analysis and opinions shared are based on AI-generated data and market observations, and may not reflect actual investment outcomes. Listeners should always do their own research or consult with a licensed financial advisor before making any investment decisions. We do not accept any liability for financial losses or actions taken based on this content.

This podcast is a snapshot of high-volume trade data for numerous stocks and exchange-traded funds (ETFs) taken closed market on November 5, 2025. It presents detailed trading metrics for the top 40 securities based on volume, including symbols like SQQQ, NVDA, and TSLA. For each security, the data includes the current price, the intraday volume, and the Implied Volatility (IV) Rank, noting whether the IV trend is upward or downward. Furthermore, the report offers value assessments by comparing the current price to pre-market, daily, and hourly time frames, alongside analysis of moving averages, volume ratios, and the buyer/seller direction for both daily and hourly periods. Overall, this document serves as a comprehensive midday trading report for highly active market securities.

Disclaimer:

The content in this podcast is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. The analysis and opinions shared are based on AI-generated data and market observations, and may not reflect actual investment outcomes. Listeners should always do their own research or consult with a licensed financial advisor before making any investment decisions. We do not accept any liability for financial losses or actions taken based on this content.

This podcast is a snapshot of high-volume trade data for numerous stocks and exchange-traded funds (ETFs) taken midday on November 5, 2025. It presents detailed trading metrics for the top 40 securities based on volume, including symbols like SQQQ, NVDA, and TSLA. For each security, the data includes the current price, the intraday volume, and the Implied Volatility (IV) Rank, noting whether the IV trend is upward or downward. Furthermore, the report offers value assessments by comparing the current price to pre-market, daily, and hourly time frames, alongside analysis of moving averages, volume ratios, and the buyer/seller direction for both daily and hourly periods. Overall, this document serves as a comprehensive midday trading report for highly active market securities.

Disclaimer:

The content in this podcast is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. The analysis and opinions shared are based on AI-generated data and market observations, and may not reflect actual investment outcomes. Listeners should always do their own research or consult with a licensed financial advisor before making any investment decisions. We do not accept any liability for financial losses or actions taken based on this content.

This podcast provides a detailed midday trading analysis for Tuesday, November 4, 2025, listing the top 40 high-volume stocks and ETFs active at 12 pm central time. For each security, the data includes the ticker symbol, current price, trading volume, and implied volatility (IV) rank. The analysis also specifies whether the price is over- or undervalued based on different time frames (pre-market, daily, and one-hour), and details its position relative to both the 200-day and 200-hour moving averages. Furthermore, the report tracks volume ratios for the day and the last hour, and indicates the daily and hourly buyer/seller direction for each investment.

Disclaimer:The content in this podcast is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. The analysis and opinions shared are based on AI-generated data and market observations, and may not reflect actual investment outcomes. Listeners should always do their own research or consult with a licensed financial advisor before making any investment decisions. We do not accept any liability for financial losses or actions taken based on this content.

Disclaimer:The content in this podcast is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. The analysis and opinions shared are based on AI-generated data and market observations, and may not reflect actual investment outcomes. Listeners should always do their own research or consult with a licensed financial advisor before making any investment decisions. We do not accept any liability for financial losses or actions taken based on this content.

This podcast is an AI analysis report listing the Top 40 high volume trades recorded midday on November 3, 2025. It details key trading metrics for various stocks and ETFs, such as KVUE, NVDA, and TSLA, indicating their price, volume, and implied volatility (IV Rank). Crucially, the data provides a technical analysis snapshot for each security, including whether the price is above or below key moving averages and if the price is OverValue or UnderValue based on daily and hourly time frames. Furthermore, the report specifies the daily and hourly buyer/seller direction and the observed 1-hour power trend for each security. The information offers a high-level overview of market activity and technical momentum for highly traded securities during that specific trading day.

Disclaimer:

The content in this podcast is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. The analysis and opinions shared are based on AI-generated data and market observations, and may not reflect actual investment outcomes. Listeners should always do their own research or consult with a licensed financial advisor before making any investment decisions. We do not accept any liability for financial losses or actions taken based on this content.

This podcast is an excerpt from a weekly futures report detailing market activity up to the close of October 31, 2025. This report offers a detailed, symbol-by-symbol analysis of various futures contracts, including Treasury Notes (/ZN, /ZF, /ZB), equity indices (/ES, /NQ, /RTY, /YM), commodities (/CL, /GC, /NG, /ZC, /ZS, /ZW, /RB, /HG), currencies (/6E, /6J, /DX), and volatility (/VX). Key metrics for each future include the price, daily volume, implied volatility rank (IV Rank), and position relative to 200-day and 200-hour moving averages. Furthermore, the report provides data on current and weekly volume ratios, notes any unusual activity such as over- or undervaluation, and indicates the daily and weekly buyer/seller direction and power trend.

Disclaimer:

The content in this podcast is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. The analysis and opinions shared are based on AI-generated data and market observations, and may not reflect actual investment outcomes. Listeners should always do their own research or consult with a licensed financial advisor before making any investment decisions. We do not accept any liability for financial losses or actions taken based on this content.

This podcast is an excerpt from a weekly report concerning various Bitcoin and Crypto Exchange-Traded Funds (ETFs), specifically dated October 31, 2025. This technical document provides a snapshot of several financial metrics for numerous ETFs, such as IBIT, FBTC, and GBTC, including their price, daily volume, and implied volatility rank. The analysis also details each ETF's position relative to the 200-day and 200-hour moving averages, often noting that the prices are above the former but below the latter. Furthermore, the report tracks changes in daily and weekly volume ratios and assesses whether the price is under- or over-valued based on the daily timeframe, typically concluding with an overall "Seller UP" market direction trend.

Disclaimer:

The content in this podcast is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. The analysis and opinions shared are based on AI-generated data and market observations, and may not reflect actual investment outcomes. Listeners should always do their own research or consult with a licensed financial advisor before making any investment decisions. We do not accept any liability for financial losses or actions taken based on this content.

This Podcast an excerpt from a weekly report concerning various Gold Exchange Traded Funds (ETFs) and related instruments, dated October 31, 2025. This document offers a detailed snapshot of market data for multiple gold investment products, including GLD, IAU, and Gold Futures (/GC[Z25]). Key metrics reported for each asset include the closing price, daily volume, and Implied Volatility (IV) Rank, alongside comparisons to 200-day and 200-hour moving averages. Furthermore, the report highlights volume ratios compared to the previous day and week, noting unusual activity and the degree to which prices are considered overvalued based on a daily timeframe. The data consistently indicates that most gold ETFs are trading above their 200-day moving average but below their 200-hour moving average, often with a designated seller-up and buyer-down direction.

Disclaimer:

The content in this podcast is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. The analysis and opinions shared are based on AI-generated data and market observations, and may not reflect actual investment outcomes. Listeners should always do their own research or consult with a licensed financial advisor before making any investment decisions. We do not accept any liability for financial losses or actions taken based on this content.

The podcast contains a detailed midday trading report from October 30, 2025, focusing on the Top 40 high-volume trades up to 12 PM central time. For each equity, which includes popular stocks like NVIDIA (NVDA), Tesla (TSLA), and Alphabet (GOOGL), the report lists crucial trading metrics. These metrics encompass the current price, trading volume, Implied Volatility (IV) Rank, and comparisons to 200-day and 200-hour moving averages. Furthermore, the data indicates whether the price is UnderValue or OverValue across various timeframes (pre-market, daily, and hourly) and specifies the buyer/seller direction and power trend for both daily and hourly periods.

Disclaimer:

The content in this podcast is for informational and educational purposes only. It does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities. The analysis and opinions shared are based on AI-generated data and market observations, and may not reflect actual investment outcomes. Listeners should always do their own research or consult with a licensed financial advisor before making any investment decisions. We do not accept any liability for financial losses or actions taken based on this content.