Our Indexes

The world's leading
independent volatility indexes.

Five precision-engineered indexes that strip away the distortions of legacy vol measures — giving you a clean, real-time read on what options are actually pricing.

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VolDex®
A better way to measure option volatility
VolDex® focuses on the options that matter most—at-the-money (ATM) options with near-term expirations—giving a cleaner, more accurate view of implied volatility.

By isolating these highly liquid and actively traded contracts, VolDex avoids the distortion caused by less relevant, far out-of-the-money options. The result is a more precise snapshot of market expectations for price movement and investor sentiment—without the noise.
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CallDex®
A clearer signal of bullish sentiment & expected volatility
CallDex® tracks the cost of out-of-the-money call options to gauge market sentiment for the next 30 days. It uses call options that are one standard deviation out-of-the-money to measure what investors are expecting in terms of both volatility and potential price direction.

Higher CallDex values generally suggest traders are anticipating bigger moves or a possible market rally. Lower values indicate a calmer outlook or reduced interest in upside exposure.
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PutDex®
Focused on downside risk pricing
PutDex® delivers a clear, strike-specific measure of implied volatility by concentrating on one key data point: the normalized cost of a 30-day, one standard deviation out-of-the-money (OTM) SPY put option.

This approach isolates the segment of the options market most directly associated with downside protection, removing the noise from less relevant strike prices. The result precisely indicates market sentiment around tail risk, hedging activity, and bearish positioning.

By zeroing in on these put options—widely used by institutional investors to protect against market declines—PutDex offers valuable insight into how much investors are willing to pay to insure against losses over the next month.
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RiskDex®
A Clear Signal of Expected Market Direction
RiskDex® measures investor sentiment by comparing the normalized cost of 30-day, one standard deviation out-of-the-money (OTM) SPY put and call options. This simple ratio reveals whether the market is more focused on downside protection or upside opportunity — offering a direct view of expected equity direction over the next month.

Unlike traditional volatility indexes, which reflect overall price movement, RiskDex highlights directional bias. A rising RiskDex indicates OTM put prices are increasing at a faster rate than OTM call prices and suggests growing concerns about potential declines; a lower reading signals confidence or complacency.

This makes RiskDex a valuable tool for traders and risk managers seeking clarity on where the market thinks it's headed—not just how volatile it might be.
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TailDex®
A smarter signal for downside risk & tail hedging demand
TailDex® measures the price of deep out-of-the-money put options to assess bearish sentiment and demand for tail risk protection over the next 30 days. By focusing on puts that are three standard deviations OTM, it reflects how concerned traders are about a major downside move, often called a 'tail event'.

Higher TailDex values suggest rising demand for crash protection or increased fear of large selloffs. Lower values imply a calmer market tone and less urgency to hedge against tail risk.
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Probability and expected value

Learning CenterExecution & Risk › Probability & expected value

Probability and expected value

IntermediateFree7 min read

Options trading is a numbers game, and the number that matters most is expected value — the average outcome of a trade if you could repeat it many times. Understanding it is what turns trading from gambling into a disciplined, probabilistic edge.

Probability of profit

Every option position has a probability of profit — the chance it finishes a winner. As a quick estimate, an option’s delta approximates the odds it expires in-the-money, and breakevens set the boundaries of the profit zone. A far-out-of-the-money short put might have an 85% probability of profit; a long out-of-the-money call might have 30%. High probability of profit sounds appealing — but it is only half the equation.

Expected value ties probability to payoff

Expected value combines the odds with the amounts at stake:

EV = (probability of win × average win) − (probability of loss × average loss)

A trade with an 85% win rate can still be a losing strategy if the 15% of losses are large enough. Conversely, a 35% win rate can be highly profitable if the wins dwarf the losses. Probability of profit alone tells you nothing until you weigh it against the size of the wins and losses.

Two trades, same direction, different EV

Trade A — sell a put spread: 80% chance to make $150, 20% chance to lose $350. EV = 0.80 × $150 − 0.20 × $350 = $120 − $70 = +$50. Trade B — sell a naked put: 90% chance to make $200, 10% chance to lose $3,000. EV = 0.90 × $200 − 0.10 × $3,000 = $180 − $300 = −$120. Trade B wins more often and still has a negative expected value, because the rare loss is enormous. The higher win rate is a trap. This is exactly how over-sized premium sellers go broke while “winning” most months.

Where the edge comes from: implied vs. realized

For an options seller, positive expected value usually comes from implied volatility exceeding realized volatility — the market pricing in more movement than actually occurs, so the premium collected more than covers the losses paid out. For a buyer, it’s the reverse: paying less in premium than the moves are worth. Either way, the edge lives in the gap between implied and realized volatility — which is precisely what a volatility gauge like VolDex® helps you see. Selling premium when implied volatility is richly elevated is a structurally positive-EV stance; selling it when volatility is cheap is not.

Think in a large number of trades

Expected value only plays out over many repetitions. Any single trade can lose even with strongly positive EV. The discipline is to take positive-EV trades consistently and in controlled size, so the law of large numbers works in your favor — and to refuse negative-EV trades no matter how tempting the high win rate looks.

Common pitfalls

Chasing high probability of profit. A 90%-win trade with a catastrophic 10% loss is often negative-EV. Always weigh the loss size, not just the odds.

Judging a strategy by a few outcomes. Small samples are noise. A positive-EV approach can lose several times in a row and still be correct.

What to do with this

Before a trade, estimate the probability of profit and the size of the win versus the loss, and compute the expected value. Take it only if EV is positive and the size fits your rules. Then the final skill is protecting that edge while the trade is live: managing it.

Expected value tells you which trades to take. Managing a trade is how you protect the edge once you’re in one.

Next lesson · continue the courseOn to managing a trade →