Part Time Larry Courses

OpenAI ChatGPT API and Whisper API - Python and Gradio Tutorial

1 review

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.

• YouTube
• 23 minutes
• On-Demand
• Free Video

OpenAI GPT-3 - Prompt Engineering for Financial NLP

1 review

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.

• YouTube
• 28 minutes
• On-Demand
• Free Video

OpenAI and Llama Index - Financial News Analysis

Learn to analyze financial news using OpenAI and Llama Index. Build a system to fetch, index, and query news data, with a focus on practical implementation and code walkthrough.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Interactive Brokers API and TradingView Charts in Python

Learn to integrate TradingView Lightweight Charts with Interactive Brokers API in Python. Build projects for data visualization, real-time updates, and automated trading with hands-on coding examples.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Financial Analyst App - GPT-4, Streamlit, and Llama-Index Tutorial

Build a financial news app UI with Streamlit, integrating GPT-4 and Llama-Index for advanced analysis and user-friendly interaction. Learn to create a powerful tool for financial insights.

• YouTube
• 21 minutes
• On-Demand
• Free Video

OpenAI for Finance - Overview

Explore OpenAI's products and APIs for financial applications, including GPT-3, generative art, and reinforcement learning tools.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Breadth Thrusts - Zweig, Whaley, and Breakaway Momentum

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.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Historical Fear and Greed Index Data - Jupyter Notebooks

Explore historical Fear and Greed Index data using Jupyter Notebooks for backtesting and analysis, enhancing your understanding of market sentiment trends.

• YouTube
• 20 minutes
• On-Demand
• Free Video

PyAlgoTrade Tutorial - Technicals, Analyzers, and Plotting

Learn to backtest trading strategies using PyAlgoTrade, incorporating technical indicators, equity visualization, and trade statistics analysis for improved algorithmic trading performance.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Detecting Price and Volume Patterns with SQL and TimescaleDB

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.

• YouTube
• 43 minutes
• On-Demand
• Free Video

TimescaleDB - PostgreSQL for Time-Series Data

Explore TimescaleDB for efficient time-series data management in PostgreSQL, focusing on stock market applications and practical coding examples.

• YouTube
• 25 minutes
• On-Demand
• Free Video

Interactive Brokers API Tutorial

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.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Docker Image for Trading App Development and Deployment

Explore a Docker image for trading app development, featuring essential Python libraries and frameworks for financial applications and data analysis.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Finding Breakout Candidates with Python and Pandas

Learn to identify stock breakout candidates using Python and Pandas, focusing on consolidation patterns and breakout indicators for potential trading opportunities.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Candlestick Pattern Recognition with Python and TA-Lib

Learn to recognize candlestick reversal patterns using Python and TA-Lib. Practical implementation of Japanese Candlestick Charting Techniques for market analysis and trading strategies.

• YouTube
• 24 minutes
• On-Demand
• Free Video