Why Power Trading Is 10X Crazier Than Crypto ft. Cory Paddock | Open Interest | Ep.24

Episode Overview

• This episode explores the highly complex and volatile world of deregulated North American power markets, illustrating how physical grid constraints, weather, and economic optimization intersect.
• The discussion covers the regionalized structure of the continent's major electrical grids (Eastern, Western, and Texas) and explains why these physically isolated networks prevent price arbitrage.
• It details the mechanics of short-term power trading, specifically focusing on PJM West Hub and highly granular "Balance of Day" (Balday) contracts.
• The narrative delves into the psychological and developmental journey of a successful power trader, highlighting recruitment strategies, the impact of AI, and the secular bull case driven by society-wide electrification.

Key Concepts

• The Intersection of Physics and Economics: Unlike traditional financial markets, power markets must balance the physical constraints of instantaneous grid reliability with economic cost optimization. Because electricity cannot be easily stored at scale, grid operators must match generation and load 24/7/365, prioritizing grid stability over cost when necessary.
• Physical Isolation of Grids: The North American grid is divided into three major, mostly independent "machines" (the Eastern Interconnection, the Western Interconnection, and ERCOT in Texas) with minimal physical connections. This structural isolation prevents price arbitrage, meaning a severe price spike in one region cannot be offset by cheap surplus power from another.
• Granular Short-Term Trading Products: While power contracts can be traded months or years in advance, the most volatile and active trading occurs in ultra-short-term products. The Balance of Day (Balday) contract, for example, settles on real-time prices across specific hourly windows, offering high intraday volatility as remaining "unknown" hours of the day play out.
• The Four Stages of Power Trading: Traders typically progress through a specific developmental framework:
• Stage 1: Constantly buying (going long) to catch high-priced tail-risk events, but bleeding too much premium over time.
• Stage 2: Constantly selling (going short) to collect premium, but eventually getting wiped out by a single massive price spike.
• Stage 3: Remaining short most of the time but successfully identifying and avoiding "booby-trap" long days, surviving but missing out on major spikes.
• Stage 4: Remaining short standard premium-collecting days but successfully pivoting to a heavy long position on the specific days when tail risk actually occurs.
• The Psychological Profile of a Trader: Successful power trading requires a high level of "disagreeability"—the comfort of taking a massive position against market consensus and holding through short-term paper losses with the confidence that physical grid fundamentals will eventually force price convergence.
• AI-Accelerated Junior Development: Rather than hiring expensive industry veterans, cutting-edge trading firms are recruiting young, passionate individuals under 25. By leveraging Large Language Models (LLMs) to write code and build models rapidly, these junior analysts can compress the traditional 12-to-18-month training cycle down to just 6 to 8 months when provided with proper market context.

Quotes

• At 2:21 - "Unlike equities and bonds and futures, power markets sit at the intersection of physics, weather, economics, and market design." - Moritz Seibert – Explaining why power trading is uniquely complex compared to traditional asset classes.
• At 5:19 - "There could be this intersection between physics and economics in trying to optimize... the economics of the power system... always the scales are going to be tipped toward reliability and trying to figure out how to manage that in real-time." - Cory Paddock – Highlighting the primary tension for grid operators: optimizing costs while ensuring the grid never fails.
• At 7:55 - "Instantaneously and 24/7, 365... no breaks, no holidays, no Thanksgiving, none of that." - Cory Paddock / Moritz Seibert – Underscores the relentless physical constraint of electricity grids; generation must match load at every single second.
• At 11:28 - "Each of these run as their own giant machine with very little interconnection points between them... for the most part you should think of them as separate grids." - Cory Paddock – Explains why regional power prices can decouple entirely, as power cannot easily flow from one major interconnection to another.
• At 13:48 - "A lot of the contracts in PJM have this right mix of skill and chance that make them particularly addicting... just when you think you have things solved, something weird and strange happens." - Cory Paddock – Captures the psychological appeal and inherent unpredictability of real-time power markets.
• At 17:12 - "You would think that we know how the grid is going to behave tomorrow when we're only 24 hours out, but it turns out actually no, we don't really know." - Cory Paddock – Illustrates how quickly supply-demand fundamentals and grid constraints can shift, even over a 24-hour horizon.
• At 28:27 - "I think it's one of the very few products that combines this amount of not only volatility, but also the ability for your fundamental view to shine through... you just have to have the patience of a number of hours to see if your market view is right." - Cory Paddock – Explaining why power trading is uniquely appealing compared to other asset classes where fundamental views can take months or years to play out.
• At 33:50 - "I describe to them the four stages of power trading... Stage 4... a lot of the time you're short because market participants want to pay for that tail risk, and then on the booby-trap days you actually pivot and you're long the stuff." - Cory Paddock – Outlining the path to maturity for a power trader.
• At 41:11 - "We're in a period where these young people under 25 and what they can do with LLMs is extraordinary... but do they still need an extraordinary amount of context? Absolutely." - Cory Paddock – Illustrating how technology has accelerated the training of junior analysts.

Takeaways

• Monitor Physical Flows via Proprietary Networks: To gain a trading edge, utilize physical data networks—such as electromagnetic sensors placed beneath high-voltage transmission lines—to capture real-time power generation and flow changes before the data is officially reported by grid operators.
• Recruit for Natural Risk Aptitude Over Domain Expertise: When building a trading team, prioritize individuals with an innate, demonstrated passion for risk-taking (e.g., poker, sports betting, or personal trading) rather than candidates who understand electrical grids but lack a trading mindset, as market mechanics can be taught, but risk tolerance cannot.
• Prepare for the Shifting Seasonal Peak Demand: Account for the changing structural shape of power demand by tracking localized electrification trends; regions traditionally peaking in the summer due to air conditioning are increasingly shifting to winter-peaking profiles due to electric heating.
• Develop Psychological Fortitude for Mark-to-Market Drawdowns: Accept that capturing highly profitable, trend-defining power trades requires the discipline to withstand short-term adverse price movements, relying on the physical reality of the grid to eventually force market convergence.
• Position for Long-Term Electrification tailwinds: Capitalize on the secular, multi-decade growth of power markets driven by AI data centers, electric vehicles, and the broader heating transition, recognizing that while cyclical oversupply will occur, the long-term demand curve is structurally rising.