Backtesting Your AI Trading Agent: Execution & Strategy Review (Part 2/3) скачать в хорошем качестве

Backtesting Your AI Trading Agent: Execution & Strategy Review (Part 2/3)

Description: Welcome to Part 2 of our "How-To" series on building a simple rules-based stock trading agent using Agentic Development (Vibe Coding) and OpenAI Codex! In this video (Part 2/3), we take the trading agent we started in Part 1 and move to the crucial stage of execution and review. We put the implemented momentum trading strategy to the test, run the code, and analyze the agent's performance. If you missed the first video where we covered the core concepts and setup, you can find it here:    • How to Build a Stock Trading Agent: Agenti...   This video completes the agent development cycle, showing you how to put your coded strategy into action: Agent Execution: Finalizing the Python/Codex code and running the trading agent script to generate buy/sell signals. Backtesting: Using historical data to simulate the agent’s trading performance against the implemented momentum strategy. Performance Metrics: Analyzing the trading results, including key metrics like overall return, drawdown, and number of trades. Iterative Refinement: How to use Agentic Development to debug, adjust parameters, and iteratively improve the agent’s logic. 📌 Please Note: This video is for educational purposes only and does not constitute financial advice. Algorithmic trading strategies can be complex, and this example uses a highly simplified model. Always consult with experienced financial traders for actual financial dealings. Tags: #stocktradingagent, #algotrading, #algorithmictrading, #agenticdevelopment, #vibecoding, #ai, #machinelearning, #openaicodex, #tradingstrategy, #financialtechnology, #imantixai, #asifshakir, #howtobuildanagent, #rulesbasedtrading, #momentumstrategy, #backtesting, #backtest, #codingtutorial, #aitrading, #pythoncoding