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I Trade Actively or Sell Options. How Do I Check Overall Risk?

Per-trade stops and max-loss figures do not add up to portfolio risk. Here is how active traders measure total exposure, correlation between positions and crash loss across the whole account.

Published Updated 4 min readHow we research

Key takeaways

  • Add every position into one number: beta-weighted exposure to the S&P 500. Illustrative: $100,000 split across Nvidia, AMD and Tesla behaved like about $219,000 of S&P 500 exposure, using Exent’s betas.
  • Correlated trades are one trade. Micron and Lam Research moved with a 0.79 correlation over 60 months in Exent’s data.
  • Short puts are long exposure. Count option positions by delta, not by premium collected.
  • Leverage turns drawdowns into near wipe-outs: the 3x Nasdaq ETF TQQQ fell 78.9% peak to trough in 2022, against 34.6% for QQQ (Exent’s data).

How do I check the overall risk of an active trading account?

Measure the account as one position. Convert every holding and option into its equivalent exposure to the market, adjust for how volatile each one is, and group positions that move together. Then ask what a bad day or a bad month would cost in dollars. A stop on each trade does not answer that, because stops gap and correlated positions hit their stops together.

Two numbers do most of the work: net exposure and beta-weighted exposure. See portfolio exposure and beta-adjusted exposure.

What should an active trader check at the portfolio level?

  • Gross and net exposure: total long plus total short, and long minus short, as a share of account value.
  • Beta-weighted exposure: each position times its beta, added up, so you know your S&P 500 equivalent.
  • Option deltas: the share-equivalent of every option, including short puts and covered calls.
  • Clusters: positions with high correlation counted as one bet.
  • Crash loss: the account replayed through 2020 and 2022, in dollars.
  • Margin: how far the account could fall before a margin call, at today’s exposure.
  • Taxes: losses that may be disallowed under the wash sale rule.

What is my real market exposure?

Usually more than the account value suggests. Beta measures how much a stock has moved for each 1% move in the S&P 500. Illustrative account: $100,000, using betas from Exent’s data as of Sep 30, 2026.

PositionValueBetaS&P 500 equivalent
Nvidia (NVDA)$40,0002.21$88,400
AMD$30,0002.44$73,200
Tesla (TSLA)$30,0001.90$57,000
Total$100,000$218,600

On these betas, a 10% fall in the S&P 500 would have meant roughly a $21,900 loss, illustrative only; beta is an average and individual days differ. For contrast, Johnson & Johnson’s beta in the same data was 0.21.

How do I count options in my overall risk?

By delta, the share-equivalent exposure of each contract. Illustrative: five short puts on a stock, each covering 100 shares, with a delta of 0.30 behave like owning about 150 shares. Premium collected is not the risk; the shares you would be assigned in a selloff are. Several short puts on correlated tech names can add up to a large long position that only appears when prices fall.

Brokers must give options customers the disclosure document Characteristics and Risks of Standardized Options, which FINRA summarizes on its options page. Read it before writing options. See also notional exposure.

How bad can a drawdown get with leverage?

Much worse than the index, because losses compound daily. Peak-to-trough declines from the same data, as of Sep 30, 2026:

CrisisNasdaq-100 (QQQ)3x Nasdaq-100 (TQQQ)On $50,000 in TQQQ
Trade-war selloff, 2018−22.9%−57.5%−$28,800
COVID crash, 2020−28.6%−69.9%−$35,000
Inflation bear market, 2022−34.6%−78.9%−$39,400
Tariff selloff, 2025−22.9%−57.0%−$28,500

A 78.9% loss needs a gain of about 373% to get back to even. More in leveraged ETFs explained.

Common risk mistakes active traders make

  • Adding up max loss per trade. Correlated positions lose together, so the sum understates the bad day.
  • Treating a sector basket as diversification. In Exent’s data AMD and Micron had a 0.65 correlation; chip trades cluster.
  • Ignoring wash sales. Under IRS Publication 550, a loss sale is a wash sale if you buy substantially identical stock, or a contract or option to buy it, within 30 days before or after. A tax professional can help with frequent traders’ records.
  • Judging skill by a good month. Measure results against a risk-matched benchmark over years. See trading vs investing.

How do I get a portfolio-level view?

Some brokers show beta-weighted Greeks for options accounts; use them if yours does. For the stock, ETF and crypto side, group positions into correlation clusters and replay the whole account through past crashes. Option and futures deltas usually have to be added by hand.

How to see the whole account with Exent

  1. Upload a screenshot or file of your positions (CSV, Excel, PDF or Google Sheet); no brokerage login.
  2. Exent groups stocks, ETFs and crypto into correlation clusters and shows drawdowns and crash replays across the account.
  3. Options and futures are not supported as positions, so add their deltas separately.

Exent is our product. Educational content, not investment advice.

Frequently asked questions

Convert each position into its S&P 500 equivalent by multiplying its value by its beta, add option deltas, group correlated positions, and replay past crashes on the total in dollars.

A short put is a long exposure to the stock. Several short puts on related stocks can add up to a large position that shows up only when prices fall.

It is each position’s value times its beta, summed across the account. It estimates how much the account tends to move for a 1% move in the S&P 500.

Yes. IRS Publication 550 says a loss sale is a wash sale if within 30 days before or after you acquire a contract or option to buy substantially identical stock, among other cases.

No. Exent analyzes stocks, ETFs, crypto, commodities and cash. Options and futures are not supported as positions, so add their deltas separately.

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Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.

DISCLAIMER: Exent AI is an informational research platform and does not provide investment advice, financial advice, or act as an investment adviser, broker-dealer, or fiduciary. All content, analytics, and model outputs are provided for educational and informational purposes only and should not be relied upon as a recommendation to buy, sell, or hold any financial instrument. Investing involves risk, including the possible loss of principal. Exent AI does not execute trades, hold customer funds, or provide brokerage services. Past performance and hypothetical results are not indicative of future results. Third-party data and AI-generated outputs may be incomplete or inaccurate.