Who runs this site, exactly how the trade examples are produced and tracked, and where the method falls short.
DailyOptionsPick is operated by SES Technology Ventures, a technology company that builds and runs software products. DailyOptionsPick is one of those products.
We are a software and data company, not an investment adviser, broker-dealer, or financial planning firm. Nobody here is acting as your adviser, and we are not registered to do so. Everything on this site is general education.
Questions, corrections, or anything that looks wrong: hello@dailyoptionspick.com. We would genuinely rather hear about an error than not.
We run an automated scanner over a watchlist of liquid, optionable US tickers and publish the defined-risk options structures it finds that meet a fixed set of numerical criteria. These are published as educational examples — illustrations of what a particular kind of setup looks like in a live market — not as recommendations or signals.
We then track what happened to those examples over time and publish the outcomes, including the losing ones, on our track record page.
Quotes, option chains and greeks come from Tradier, with a secondary provider as a fallback. Prices are live market quotes at scan time, not modelled values.
Put credit spreads (bull put spreads), call credit spreads (bear call spreads), and iron condors. All are defined-risk: the maximum loss is known before entry.
The short strike is chosen by targeting an absolute delta of roughly 0.30 from the
live option chain. The long strike is placed a fixed width away (default $5), which
is what caps the loss.
| Filter | Current setting |
|---|---|
| Net credit as a share of strike width | between 12% and 50% |
| Minimum estimated probability of profit | 64% |
| Minimum return on capital (credit ÷ max loss) | 30% |
| Days to expiration | 7 to 30 |
| Expirations on or after a known earnings date | excluded |
Pro members can set their own watchlist and their own thresholds, so their examples are generated from their parameters rather than these defaults.
Probability of profit is an estimate from a model, not an observed frequency and not a guarantee. We model the underlying's move over the holding period using the implied volatility from the option chain, and estimate the chance that the short strike is not breached by expiration. For an iron condor the same approach is applied to both breakeven points.
Two things are worth being explicit about, because they affect how the number should be read: the model uses a normal distribution of price changes, which is a simplification; and the probability is measured to the short strike rather than to the breakeven price, which is a slightly different question from "will this trade make money". Treat the figure as a rough ranking tool for comparing setups, not as a precise forecast.
Credits are calculated using natural pricing — the short leg's bid minus the long leg's ask — rather than the mid-price, because that is closer to what a retail order would actually fill at. Mid-price quoting makes a spread look better than it fills. We also apply a haircut to estimated credits so the figures lean conservative rather than optimistic.
Every published example is monitored during market hours against a fixed, pre-stated exit plan:
Outcomes are recorded automatically from live quotes and published whether they are wins or losses. We do not retroactively remove, re-date, or re-characterise a published example.
Subscriptions. There is a free tier with one daily example and a paid Pro tier with customisable scans. We are not paid by any broker, we do not take affiliate commissions on brokerage signups, and we do not sell customer data. Where we name a broker (for example in our tutorial) it is because members asked how to place these trades there.