Knowledge Base
Tax strategy, healthcare before Medicare, the post-FIRE identity shift, and the financial decisions that get more complicated after you stop earning.
1054 articles — page 59 of 88
TAM investing uses total addressable market analysis to identify companies positioned to capture large, underpenetrated markets before that potential is priced in. Where traditional value investing asks "what is this business worth today," TAM investing asks "how large could this market become, and
SMA investing uses the arithmetic mean of an asset's closing prices over a defined period to filter noise and identify trend direction. Sum the closing prices for your chosen lookback window, divide by the number of periods, repeat daily. The resulting line on a chart tells you where price has been
Quantamental investing combines systematic, data-driven models with discretionary fundamental research. The goal is to use algorithmic signals to screen and rank opportunities at scale, then apply human judgment to validate, contextualize, and size positions. That is meaningfully different from pure
Structured credit investing means buying securities created by pooling debt obligations, slicing that pool into tranches with distinct risk and return profiles, and selling those tranches to investors with different appetites. The key difference from traditional fixed income: you are not lending to
Investing in electricity is not a single bet. It is three or four distinct risk profiles wearing the same label. Regulated utilities are bond-proxy income vehicles. Clean energy developers are growth equities with commodity and financing risk. Infrastructure plays sit somewhere in between. Getting t
High conviction investing means concentrating capital into a small number of positions where you have a genuine informational or analytical edge, then holding through volatility while the thesis plays out. It is the operational opposite of broad diversification, and for investors managing $5M or mor
R-squared measures the proportion of variance in a security's returns explained by movements in a benchmark index. Expressed as a value between 0 and 100, it answers one specific question: how much of this investment's behavior is the market's doing? That's it. Not whether the investment is good. No
Quantitative investing in bonds applies statistical models, factor analysis, and algorithmic execution to fixed income markets, replacing discretionary judgment with systematic, rules-based decision-making. For investors managing $5M or more in fixed income, the distinction matters less as a philoso
NQ futures are E-mini NASDAQ-100 futures contracts traded on the CME Group. Each standard contract carries a notional value of $20 multiplied by the NASDAQ-100 index level. At an index level of 18,000, that is $360,000 of exposure per contract. The Micro E-mini (MNQ), launched in May 2019, is one-te
Options volatility trading is the practice of taking positions based on the expected magnitude of price movement in an underlying asset, rather than its direction. Implied volatility is the single most important variable in options pricing: when IV is elevated relative to what the market subsequentl
Stock market investment risks look different when your equity portfolio runs into the millions. Generic volatility warnings and beginner-level cautions about "losing money" miss the real exposures: tax drag compounding silently across decades, sequence-of-returns risk that can permanently impair a l
The history of investing is not a feel-good story about human ingenuity. It is a repeating pattern: financial innovation creates wealth-building opportunities, excess follows, crises reset the table, and the investors who survive are the ones who understood the structure beneath the speculation. Tha