Investing in US stocks requires understanding the political implications. The easiest misconception when trading US stocks is viewing it as a simple calculation based solely on earnings, interest rates, and liquidity. It's as if an upward revision in earnings should automatically lead to a rise in stock prices. However, the true picture is not singular. Companies calculate profits, traders calculate volatility, and at a higher level, there are calculations of seats, agendas, and votes. These multiple sets of calculations overlap, and the final price may not align with any single earnings forecast, but it often aligns with another, larger report. November 5th is a case in point. The S&P 500 fell 4.36%, the Philadelphia Semiconductor Index fell 12.25%, Nvidia alone lost $447 billion, and the entire market evaporated approximately $3 trillion. Looking only at earnings, this is difficult to understand. The demand for artificial intelligence hasn't changed, capital expenditure plans haven't changed; what has changed is the election two days prior. The Democrats won both the House and Senate, and also Texas. The Texas governor-elect publicly called for an immediate halt to data center development, and a number of newly elected legislators and governors have included slowing down AI infrastructure construction in their campaign platforms. The market figured one thing out overnight. Half of the AI valuation story is built on the rapid expansion of data centers, and the switch to expand is half in the hands of politicians. Many things that are difficult to understand from a profit perspective become logically simple when viewed from a political perspective. Data center construction has never been just a technical issue. Whoever's land the computing power is built on, that's whose power grid bears the electricity costs, and whose local government concedes tax breaks. After production begins, the stock price gains go to shareholders, while the burden of electricity prices falls on local residents. For the past two years, no one has carefully calculated this, because stock prices have been rising, and the cost allocation has been masked by the bull market. Once the expectation of returns wavers, the attribution of costs immediately becomes a public issue. The governor's call for a halt isn't due to a lack of technical understanding; it's because he understands his voters. This is not the end of capital expenditure. This is a standard tactic in the middle stages of a technological revolution. The same applies to railways, electricity, and the internet. The first half focuses on efficiency, with regulation making way for innovation. The second half focuses on distribution, with politics taking center stage, demanding a redistribution of revenue. Understanding this rhythm prevents one from mistaking a single pronouncement for the end of the world, and avoids the naive belief that technological narratives are forever immune to political pricing. However, let's return to the point. This reckoning isn't about burying the bull market. Politicians' own retirement funds fluctuate in the market, and both parties share a highly aligned interest in maintaining market operations. The political agenda isn't about killing the bull. It's about getting a bigger slice of the pie, converting a portion of the profits into votes and fiscal revenue. Simultaneously, liquidity must be monitored. The Federal Reserve resumed rate hikes in September, and two regional Fed presidents recently adopted hawkish stances, hinting at a possible continuation in December. Political considerations determine the discount rate, while liquidity determines the denominator. With both accounts tightening simultaneously, the positive impact of earnings no longer holds exclusive interpretation. What truly determines the difficulty of investing is this misalignment between the accounts. Most people study the price-to-earnings ratio (P/E ratio), a few study the constraints. Most people stare at the earnings calendar, a few stare at the hearing schedule. During the window of opportunity when political variables dominate pricing, the latter at least know when it's unwise to mistake luck for a pattern. Thinking that a significant drop equates to cheapness is the same naiveté as thinking that a prolonged rise equates to safety. The plight of retail investors can also be observed within this context. Formal market access does not automatically lead to substantive information equality. Policy signals first reach lobbying company briefings, then financial media headlines, and finally the comment sections of stock trading software. By the time the public narrative becomes clear, prices have often already completed a significant portion of the correction. When analyzing US stocks, one cannot solely focus on economic calculations. Computing power appears to be demand, but at its core, it's the power grid. Valuation appears to be profitability, but at its core, it's discounting. Elections appear to be about seats, but at its core, it's about allocation. Both often share a common language but serve different goals. Being able to discern this may not guarantee profit, but it can at least reduce naiveté. Knowing that some pullbacks are not risk clearing, and some rebounds are not trend corrections, and that some major trends are ultimately bought up by countless small accounts pooling their money.