A peer-reviewed study compared the two most-watched option volume ratios head to head. The winner depends entirely on what clock you're trading on, and knowing which is which is the edge.

Imagine being able to peek at what sophisticated traders actually think about a stock's future. Not what they say in interviews or write in research notes, but what they bet real money on. It turns out you can, and it's hiding in plain sight in the options market.

Every day, millions of options contracts change hands. Some traders buy calls betting on gains; others buy puts positioning for declines. Most retail investors dismiss it all as noise. But when researchers Benjamin Blau, Nga Nguyen, and Ryan Whitby put that "noise" under the microscope, they found that certain patterns in options volume genuinely predict which way stocks move next. Not perfectly, and not profitably enough to print money on their own. But reliably enough to matter, and with a twist that most traders who watch these numbers have never heard: the two most popular ratios work on completely different clocks.

The study, published in the Journal of Banking and Finance, revolves around two deceptively simple numbers.

The put-call ratio (P/C) measures put volume relative to call volume in a single stock's options. When it runs high, put buyers dominate; when it runs low, call buyers do. The option-to-stock volume ratio (O/S) compares a stock's total options volume, puts and calls together, against its share volume. A high reading means the options crowd is unusually active relative to the stock itself.

Both ratios had been studied before, and both had been shown to predict weak future returns when elevated. What nobody had done was run them head to head: same stocks, same data, same tests, to see which one actually carries more information, and over what horizon. Using daily options volume from OptionMetrics matched against stock data from CRSP, that's exactly what these researchers did. One detail matters enormously for practitioners: earlier landmark studies in this literature relied on proprietary data that flagged who initiated each trade. This study used plain, unsigned volume, the same numbers you can see on any chain. Whatever edge exists here lives in publicly visible data.

The daily clock: the put-call ratio wins. At the one-day horizon, high put-call ratios preceded significant next-day underperformance, and the P/C ratio carried more predictive information than the O/S ratio. The interpretation follows the informed-trading literature the study builds on: when traders with an information edge expect bad news, puts are the natural instrument, and that kind of news tends to surface fast. Heavy put buying in a single name is often smoke from a fire that hasn't made headlines yet.

The weekly clock: the flip begins. Stretch the horizon to a week and the ranking reverses. The option-to-stock ratio becomes the stronger predictor, while the put-call ratio's signal weakens, still present, but fading.

The monthly clock: only one survivor. By the monthly horizon, the study's tests show the put-call ratio's predictive power has essentially evaporated, while the option-to-stock ratio keeps forecasting weak returns. The authors' own word for the P/C signal is "fleeting": real, strong, and short-lived. The very metric that dominates at the daily level goes quiet at the monthly level, and its supposedly cruder cousin keeps working.

The explanation isn't a statistical quirk. It's a picture of how different kinds of information move through markets.

Put-call ratios appear to capture time-sensitive information, the kind that gets acted on within days: an earnings surprise someone anticipated, news about to break, a downgrade in the pipeline. Once the event lands and the price adjusts, the signal's work is done. Sprint information, hot but perishable.

Option-to-stock ratios appear to reflect slower-burning concerns: deteriorating fundamentals, industry headwinds, valuation problems that take weeks or months to fully press into a stock's price. Elevated options activity relative to share volume marks names where the informed crowd is engaged, and that engagement keeps predicting weakness long after any single headline. Marathon information, cooler but durable.

Markets, in other words, are layered. Different information flows through different channels at different speeds, and a signal is only as good as the match between its half-life and your holding period.

Before the playbook, a clarification that matters, because this research can look like it contradicts something you may already do.

This study is about single-stock ratios read as informed flow: heavy put buying in one name predicting that name's weakness. Follow-the-flow logic. That is a different instrument from the market-wide put-call ratio that traders read as contrarian sentiment, where an extreme across the whole market signals panic to fade rather than information to follow. One stock's put spike often means somebody knows something. An entire market's put spike usually means everybody fears something, and crowded fear is historically where option sellers find their best opportunities. Same arithmetic, opposite readings, and the difference is the level of aggregation. Confusing the two is how traders end up fading informed flow or following a crowd.

For short-horizon traders: the put-call ratio is your instrument. Elevated single-name P/C readings have historically preceded weakness within a day or two. Don't expect the signal to stretch; the study's own results say it fades within a week.

For position traders and investors: the option-to-stock ratio is the one worth a spot in your checklist. Persistently elevated O/S flags names where options activity is running hot relative to the stock, and that condition predicted underperformance at horizons where the P/C ratio had gone silent.

For premium sellers: these ratios are context, not commandments. A cash-secured put candidate showing a persistent O/S elevation deserves a second look before you volunteer to buy it lower, and a single-name P/C spike the day before your entry is worth respecting. Fold them in alongside IV Rank and the expected move, which are the chain's other honest broadcasts.

For everyone: match the metric to the timeframe. A signal that works daily is not thereby a signal that works monthly, and the reverse. That's the study's deepest lesson, and it generalizes far beyond these two ratios.

Read the fine print before building anything on this. These patterns held in historical data, and markets evolve; what worked across the study's sample carries no guarantee forward. The effects are statistically real but economically modest, measured in the kind of increments that inform positioning rather than replace it; nobody gets rich on these ratios alone, and the trader most confident that he will is the one the fine print exists for. Knowing a stock might underperform tomorrow still doesn't execute the trade: sizing, risk management, and entry discipline do. And these relationships can strengthen or weaken with volatility regimes and market structure changes. Treat the research as a lens, never a lever.

The options market broadcasts signals about future stock movements all day long, but like a radio, you have to tune to the right frequency for your timeframe. For immediate moves, the put-call ratio has the stronger record. For longer horizons, the option-to-stock ratio keeps working after the P/C signal goes quiet. And the loudest signal today may be silent next month, which is exactly what the research predicts rather than a failure of it.

Credit where due: the findings come from "The Information Content of Option Ratios" by Benjamin Blau, Nga Nguyen, and Ryan Whitby, published in the Journal of Banking and Finance in 2014. It's careful, unglamorous work of the kind that quietly improves how practitioners think, which is the only kind of market research worth reading.

None of it hands you a money-printing machine. What it hands you is a more sophisticated map of how information moves through options markets, and the discipline to ask, before trusting any signal: what's its half-life, and does it match mine? Turning insights like these into repeatable process, alongside a community that studies the research so you don't have to, is exactly what The Income Foundation was built for.

The markets are constantly teaching. The question is whether we're listening to the right lessons at the right times.

Probabilities over predictions,

Andy Crowder

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