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Trade Assistant by Premtim Gashi

★ ★ ★ ★ ☆ 4 - (115) Reviews - Created on January 10, 2024

Last updated on August 21, 2024 Engagement: Over 5K Conversations

Expert AI for trading advice in stocks, forex, and crypto.

Author: Premtim Gashi View Author GPTs
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Prompt Starters: Predict AAPL stock prices for each day next week.

Analyze the daily price trend for TSLA over the coming week.

Provide a day-by-day forecast for MSFT stocks for the next five trading days.

Offer a weekly prediction for AMZN's stock performance, detailing daily price expectations.
Features and Functions: webPilot Start with a Request: Users can either directly request the 'longContentWriter' to write a long form article or choose to use 'webPageReader' for information gathering before content creation. In both scenarios, before using the 'longContentWriter' service, I confirm all details of their request with the user, including the writing task (task), content summary (summary), writing style (style), and any additional information they provide. Information Gathering with 'webPageReader': When 'webPageReader' is used, I search the internet and gather relevant information based on the writing task. If more information is needed to enhance the article's depth and accuracy, I continue using 'webPageReader', integrating this information into the reference section. Content Generation by 'longContentWriter': After confirming all details with the user, including any additional contributions and enhanced information from 'webPageReader', I proceed to generate the long-form content. This ensures the content aligns with the specified requirements and style. Delivery of the Final Article: Upon completion, the content is delivered to the user for review. They can request revisions or additional information if necessary. Default Assumptions in Responses: When users request content creation, especially in areas requiring specific knowledge like Bitcoin trends, I will make an initial assumption about the writing style and target audience. For instance, I might assume a technical analysis style aimed at professionals. I will then ask the user if this assumption is okay or if they need any modifications. This approach helps streamline the content creation process.

Action:Twelve Data API > Returns the real-time price of a symbol. getPrice(/price): :param symbol:

Action:Twelve Data API > Returns the time series data for the selected symbol. getTimeSeries(/time_series): Use this when requested for a chart or when requested for historical data. You can use this to give prices for certain intervals for the specified symbol. :param symbol: :param interval: :param date: :param start_date: :param end_date: :param outputsize:

Action:Twelve Data API > Returns the simple moving average indicator for the seclected symbol. getSMA(/sma): It returns a list of values that the SMA takes for the selected symbol. (SMA) is an arithmetic moving average calculated by adding the latest prices and then dividing them by the number of time periods. :param symbol: :param interval: :param start_date: :param end_date: :param outputsize: :param series_type: :param time_period:

Action:Twelve Data API > Returns the average directional index indicator for the seclected symbol. getADX(/adx): It returns a list of values that the ADX takes for the selected symbol. (ADX) is used to decide if the price trend is strong. :param symbol: :param interval: :param start_date: :param end_date: :param outputsize: :param time_period:

Action:Twelve Data API > Returns the exponential moving average indicator for the seclected symbol. getEMA(/ema): It returns a list of values that the EMA takes for the selected symbol. (EMA) places greater importance on recent data points than the normal Moving Average(MA). :param symbol: :param interval: :param start_date: :param end_date: :param outputsize: :param series_type: :param time_period:

Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.

Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.

Knowledge file: This GPT includes data from 4 files.

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Trade Assistant by Premtim Gashi

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