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Learn to build a voice assistant using OpenAI's ChatGPT and Whisper APIs with Python and Gradio. Create an interactive system that converts speech to text, processes it, and responds audibly.
Learn prompt engineering techniques for financial NLP tasks using GPT-3, including data extraction, entity recognition, and sentiment analysis. Gain practical skills for structured output and text classification.
Explore OpenAI's products and APIs for financial applications, including GPT-3, generative art, and reinforcement learning tools.
Learn to code the Breadth Thrust Indicator in Python and explore its application in identifying tradable market bottoms, with insights on various thrust indicators and breakaway momentum.
Explore historical Fear and Greed Index data using Jupyter Notebooks for backtesting and analysis, enhancing your understanding of market sentiment trends.
Learn to backtest trading strategies using PyAlgoTrade, incorporating technical indicators, equity visualization, and trade statistics analysis for improved algorithmic trading performance.
Learn to detect stock price patterns using SQL and TimescaleDB. Explore PostgreSQL functions, TimescaleDB features, and analyze real-world examples to identify bullish engulfing and three-bar breakout patterns.
Explore TimescaleDB for efficient time-series data management in PostgreSQL, focusing on stock market applications and practical coding examples.
Learn to use Interactive Brokers API with Python, covering data retrieval, order placement, options analysis, and more. Ideal for beginners interested in algorithmic trading and financial data analysis.
Explore a Docker image for trading app development, featuring essential Python libraries and frameworks for financial applications and data analysis.
Learn to identify stock breakout candidates using Python and Pandas, focusing on consolidation patterns and breakout indicators for potential trading opportunities.
Learn to recognize candlestick reversal patterns using Python and TA-Lib. Practical implementation of Japanese Candlestick Charting Techniques for market analysis and trading strategies.
Explore Tradier's API for commission-free stock and option trading using Python. Learn about historical data, real-time streaming, complex orders, and multi-legged options.
Backtest a VIX spike trading strategy using Python, exploring buying opportunities during market fear and comparing selling strategies for optimal returns.
Learn to build a voice assistant using OpenAI Embeddings, ChatGPT, Whisper, and Eleven Labs APIs. Combine AI technologies for realistic voice responses and create a custom Q&A system with a Gradio UI.
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