algorithmic trading Podcast Summaries
algorithmic trading on Yedapo: 5 summarized podcast and YouTube episodes. Each includes key takeaways, core concepts and notable quotes with timestamps.
This GPT-5.6 Trading Bot Is CRUSHING Hyperliquid 24/7 (so far)
All About AI
Jul 15, 2026
The creator demonstrates a fully automated trading model developed using GPT-5.6, which scans markets and executes trades based on technical scoring metrics. By pivoting from token-heavy LLM loops to autonomous code-based execution, the system maintains 24/7 operations while using iterative data feedback to refine its strategy over time.
Key insight: The system avoids 'AI-automated' trading by instead using AI to write the automated code, shifting from a token-expensive continuous chat loop to an efficient, autonomous script that manages positions every five minutes.
OpenAI GPT-5.6 Tested: Can It Find a Profitable Polymarket Strategy?
All About AI
Jul 9, 2026
The creator compares GPT-5.5 and the new GPT-5.6 Soul model to optimize trading strategies on Poly Market. GPT-5.6 exhibits superior reasoning capabilities, identifying unique, viable trading hypotheses that outperform the previous iteration's output in comparative evaluations. The results suggest the new model offers a measurable, though incremental, advantage for complex algorithmic decision-making.
Key insight: GPT-5.6 Soul achieved a 47/100 rating in a blind quantitative evaluation, outperforming GPT-5.5 due to a more robust economic thesis and superior validation practices on a 20-day holdout dataset.
AI Automation 30 Day Update - How Much Did We Profit?
All About AI
Jul 8, 2026
The creator demonstrates that AI-driven automation, specifically using Cloud Code for App Store development and PolyMarket trading, can generate significant passive income with minimal manual oversight. By leveraging consistent data collection and autonomous bots, these projects achieved over $2,000 in app sales and consistent trading gains, proving the viability of autonomous execution.
Key insight: A single trade on PolyMarket yielded a $200 profit from a $23 investment, showcasing the high-upside potential of algorithmic market-making strategies.
Agentic AI Trading On Hyperliquid For Beginners (Codex 5.5)
All About AI
Jun 22, 2026
The author demonstrates a workflow for building autonomous, modular trading 'pods' on Hyperliquid using AI agentic assistance. By stacking multiple small, independent strategies rather than relying on one complex model, traders can minimize risk and create a diversified stream of small profits, provided each strategy undergoes rigorous backtesting and robustness checks to prevent overfitting.
Key insight: A high initial backtest result (50% net) was revealed as a 'recent window artifact'—a common trap in algo trading—and was subsequently rejected after failing a more rigorous Monte Carlo stress test.
Why Markets Don't Panic Anymore + How to Build Real Relationships at Work
The Prof G Pod with Scott Galloway
May 13, 2026
Scott Galloway explores why markets remain resilient despite global instability and explains why high-cost urban living remains a superior training ground for early-career growth. He underscores the necessity of diversification and the unique professional advantages found in city centers.
Key insight: Algorithmic trading now accounts for 60% to 75% of total equity market volume, meaning retail investors are competing against computer-driven models rather than human intuition.