Fundamental, quantitative, and positioning analysis
Three real, distinct lenses professionals use to read markets -- and where the kind of analysis this app is built on (reading real positioning data) actually sits between them. General education, not specific to MarketsLens -- sourced from real external material, linked at the bottom.
1. Technical analysis, briefly
The most common entry point for retail traders: reading price charts directly -- support/resistance levels, candlestick patterns, moving averages, indicators like RSI or MACD. It's entirely price-derived -- the underlying belief is that all relevant information is already reflected in price, so studying its shape is enough. The tradeoff: chart patterns are drawn subjectively after the fact, and two traders can look at the same chart and mark completely different zones.
2. Fundamental analysis
Fundamental analysis asks what something is actually worth. For a company, that means reading its income statement, balance sheet, and cash flow statement, then weighing that against valuation ratios -- the Price-to-Earnings ratio (the S&P 500 has historically averaged roughly 15-18x) and Price-to-Book among the most common. For a currency or a macro market, it means GDP growth, interest rates, and inflation instead of a single company's books. It's slow, qualitative work -- an analyst might spend weeks on one business before forming a view.
3. Quantitative analysis
Quantitative analysis applies rules and statistics across many markets at once instead of going deep on one. It's objective and rule-based by design -- a strategy either fires on the data or it doesn't. Two genuinely opposite philosophies sit under this umbrella: momentum (recent trends tend to continue -- buy strength, sell weakness) and mean reversion (extreme moves tend to snap back toward an average -- the logic behind tools like Bollinger Bands). Real research on this is counterintuitive: at short horizons of days, returns tend to reverse; at medium horizons of 3-12 months, they tend to continue; at long horizons of 3-5 years, they tend to reverse again. Which philosophy is "right" depends entirely on the timeframe you're actually trading.
4. Positioning & sentiment analysis -- where this fits
A third lens, distinct from both: instead of reading a company's books or a market's price chart, you read what large participants are actually holding. Positioning data and sentiment surveys get used interchangeably but aren't the same thing -- a sentiment survey asks people what they think; positioning data shows what they've actually done with real money, in the form of opened long or short contracts. Extreme, one-sided positioning is often watched as a contrarian signal -- when nearly everyone is already positioned the same way, there are fewer participants left to extend the move, and that imbalance is sometimes discussed as vulnerability to a sharp reversal.
This is the CFTC's Commitments of Traders report
A US regulatory filing, published every Friday, showing real reported futures positioning by trader category -- Commercial hedgers, large speculators, and everyone else. It's the specific data source this app is built entirely around.
5. "Supply and demand" zones vs regulatory positioning data
Worth being precise about, since they get talked about as if they're the same idea. "Supply and demand" or "institutional buy/sell area" trading -- also called order blocks or liquidity zones in some retail education -- infers where big money must have traded from price geometry alone: a sharp move away from a consolidation, a candle "imbalance." No one confirms an institution was actually there; it's a pattern read backward from what price already did, which is why a zone that doesn't hold is usually just redrawn rather than treated as a falsified idea.
Positioning analysis from a report like COT doesn't infer anything -- it reads real, disclosed exposure, filed under regulatory reporting requirements. Same underlying instinct (price moves because of real buying and selling pressure, not an indicator), but the evidence is actual reported data instead of chart shape.
6. How professionals actually blend these
Almost no one uses exactly one lens in isolation. A common practical workflow: use quantitative screening to narrow a large universe down to a shortlist, then apply fundamental research to decide whether anything on that shortlist is actually worth holding. Positioning and sentiment data gets layered on top of either -- less a standalone strategy, more a way of asking whether the move that's already happening still has real participants left to extend it, or whether the crowd is already fully committed.
7. How hedge funds actually pick markets
"Hedge fund" isn't one strategy -- it's an umbrella over genuinely different approaches to the same question: where's the edge? Four of the most common:
Bets on big economic trends -- interest rates, currencies, policy shifts. Trades almost anything; most flexible style, can flip direction fast.
The most common style. Long stocks judged undervalued, short stocks judged overvalued -- often paired within a sector to stay hedged.
Trades specific corporate events. Merger arbitrage is the classic case: buy the target after a deal's announced, capture the spread to the agreed price.
Rules run across a wide universe of data, not one analyst's judgment on one company -- the category positioning analysis sits closest to.
Whichever style, building a position follows roughly the same steps -- and a manager's job is as much about the last two as the first:
8. Qualifications -- how people actually get in
Finance, economics, or business for fundamental/analyst roles. Math, statistics, computer science, physics, or financial engineering for quant roles.
CFA (Chartered Financial Analyst) is the most valued in the industry -- three exams, ~300 hours of study each. CAIA is more hedge-fund-specific; FRM if headed toward risk.
Most don't join straight from school -- investment banking, asset management, or a research/consulting role first, then a move to the buy side.
Analyst -> Senior Analyst (2-3 years) -> Portfolio Manager. Multi-strategy platforms (Citadel, Millennium, Point72) run many independent teams under one risk umbrella and are where most hiring volume actually is.
Real companies, spanning the styles above
Bridgewater Associates (macro), Citadel and Millennium (multi-strategy platforms), Renaissance Technologies and AQR (quant/systematic), Man Group's AHL (trend-following). Multi-strategy platforms run many independent teams under one risk umbrella and are where most current hiring volume actually is.
- CFTC -- About the COT Reports (official)
- StoneX -- How to Read the Commitment of Traders Report
- State Street Global Advisors -- Quantitative vs Fundamental Equity Investing
- QuantInsti -- Types of Trading Strategies (Momentum, Mean Reversion)
- XTB -- Market Sentiment and Positioning
- Endowus -- Hedge Fund Strategies Guide
- Corporate Finance Institute -- Hedge Fund Career Path
- Zell Education -- Hedge Fund Career Path