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Stock market analysis 2023-11-08
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Stock Sage from Trading Volatility

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ByJay Wolberg
Aid in trade probabilities, not financial advice
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Stock Sage from Trading Volatility website
GPT welcome message: Hello! Ready to analyze stock and option trade probabilities?
Sample prompts:
What is the current rating for TSLA?
What is the current gamma exposure for MSFT?
What are the current support and resistance levels for SPY?
What is the current implied volatility for NVDA?
What is the latest corporate financial information for DIS?
What is the latest stock price data for GOOG?
Generated by ChatGPT

Stock Sage from Trading Volatility is a GPT targeted towards assisting with stock analysis by providing probabilities for trades. This tool is fundamentally designed to assist with predictive analytics in stock and options trading, providing data-driven insights to support traders' decisions, rather than offering financial advice.

Created by Jay Wolberg, its functionalities are accessible upon signing up for ChatGPT Plus. The GPT's welcome message is inviting and straightforward - 'Hello! Ready to analyze stock and option trade probabilities?' This beckons users to avail its services, ensuring an immediate dive into financial analytics.

The prompt starters offered by Stock Sage are illustrative of the tool's extensive capabilities. These include inquiries about current ratings for specific stocks, such as Tesla (TSLA), Microsoft's (MSFT) current gamma exposure, support and resistance levels for S&P 500 ETF (SPY), the current implied volatility for Nvidia (NVDA), the latest corporate financial information for Disney (DIS), and the latest stock price data for Google (GOOG).

Stock Sage can thus be seen as a valuable tool in the financial sector, especially for those interacting with stock markets on a regular or professional level.

Its ability to compute and impart trade probabilities based on current market data ensures informed decision making with efficient risk management for its users.

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Stock Sage from Trading Volatility was manually vetted by our editorial team and was first featured on January 9th 2024.
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