Most options sellers lose their weekends to the same tedious ritual: scrolling chains, comparing strikes, calculating collateral, and second-guessing whether a fat premium is actually worth the risk. A free cash secured put scanner collapses that entire workflow into a few clicks. Instead of hunting through hundreds of tickers, you open a shortlist of puts that already match your budget, your risk tolerance, and a clearly defined strategy window.
Selling cash-secured puts is one of the most intuitive income strategies in the market. You collect premium up front, you agree to buy a stock at a price you chose, and you get paid for your patience. The catch has never been the concept — it’s the execution. Knowing which strike to sell, how much cash to reserve, and when to close the trade is where most traders stall out. That’s the gap a dedicated screener fills.
What a Free Cash Secured Put Scanner Actually Screens For
The quality of any scanner comes down to what it filters and what it surfaces. A cash-secured put is only as good as the strike you choose, and a strike is only as good as the underlying. Sell puts on a thinly traded name with wide spreads and you’ll pay the difference in slippage before you ever book a profit. Sell on a company reporting earnings next week and you’ve quietly signed up for a volatility event you may not have intended to trade.
A well-built screener starts with a curated universe of liquid stocks and ETFs, then scans that universe daily so the output is fresh rather than stale. The result is a ranked list — the top 10 puts per strategy — waiting for you the moment you land. No waiting queue, no access key, no email gate. That accessibility matters because the best trade idea is worthless if it arrives after the premium has already decayed.
Equally important is how risk gets translated. Delta is the standard Greek, but “0.22 delta” means little to someone still learning the mechanics. Displaying delta as plain-English assignment odds on a color-coded gauge changes the decision entirely. A strike showing roughly a 12% chance of assignment reads very differently from one showing 40%, even though both are just numbers on a chain. The color coding lets you scan a column visually and immediately separate the conservative trades from the aggressive ones.
Context is the third pillar. A strike price in isolation tells you nothing about whether you’re selling into strength or weakness. Showing the 52-week range alongside each candidate puts the strike in perspective — is this near the yearly low, or are you catching a falling knife? Earnings dates get flagged too, so you can deliberately avoid or deliberately embrace a volatility catalyst rather than stumble into one. Scraped news headlines round out the picture, giving you a fast read on why a name might be moving.
Finally, there’s sizing. A screener that ignores your account balance is just a watchlist. The useful version sizes trades to your available cash, showing how many contracts your budget genuinely supports so you never accidentally over-allocate and end up with a position you can’t secure.
Income, Balanced, and Buy-at-Discount: Three Ways to Sell the Same Put
Not every trader wants the same trade, even on the same underlying. That’s why a single fixed screen rarely satisfies anyone for long. Splitting the output into distinct strategy modes — each with its own delta band, DTE window, and exit rules — lets you pick the posture that matches your goal that week.
Income targets deltas between 0.10 and 0.20. These are the low-assignment-odds trades: strikes well out of the money, modest premiums, and a high probability of expiring worthless so you keep the full credit. This is the grinding, repeatable approach for traders who want steady premium on names they wouldn’t mind owning but don’t expect to. Because the credit is smaller, the DTE windows tend to be shorter, which also means capital recycles faster.
Balanced sits in the 0.15 to 0.30 delta range and is the natural home for most sellers. You give up a little of the safety margin in exchange for meaningfully better premium, and you still keep assignment odds comfortably below a coin flip. It’s the middle path — enough income to justify the collateral, enough distance from the money to sleep at night.
Buy-at-Discount pushes into 0.30 to 0.45 delta territory. Here you’re not primarily chasing premium; you’re effectively placing a limit order below the market and getting paid to wait for it. If you already want to own the stock, a higher-delta put converts that intention into cash flow. The trade-off is real: assignment becomes a genuine possibility rather than a distant one, so the underlying has to be something you’d genuinely be happy to hold.
What ties all three together are the management rules baked into each strategy. Every mode carries a defined DTE window, a 50% profit exit, and a 21-DTE manage-by date. The 50% rule is the workhorse: once you’ve captured half the credit, closing the position frees your collateral and removes the tail risk for the remaining premium you’d otherwise be fighting for. The 21-DTE date is the discipline check — the point at which gamma risk accelerates and you should roll, close, or consciously accept assignment rather than drift into expiration week.
From Scan to Portfolio: Sizing, Optimize, and Following the Trade Through
Picking individual trades is only half the job. A cash-secured put portfolio has a hard constraint most strategies don’t: every position is backed by real, reserved cash. Sell too many puts at once and you can find yourself technically profitable but functionally out of buying power, unable to take the next setup that appears.
This is where portfolio-level thinking separates a screener from a genuine tool. The Optimize feature (in beta) takes your total budget and builds a fully cash-secured book — a set of positions that fits inside your account without ever exceeding the cash you actually have. Rather than assembling trades one at a time and hoping the math works out, you start from the constraint and work backward. For anyone who has ever accidentally oversold puts and spent a Friday scrambling to close positions, that’s a meaningful upgrade.
Consider a practical scenario. A trader with $25,000 earmarked for options income runs the scanner in Balanced mode. The output surfaces ten candidates across liquid large caps and ETFs, each tagged with assignment odds, 52-week positioning, and any upcoming earnings. Instead of buying the first three ideas that look appealing, Optimize allocates across a mix that keeps total collateral under the $25,000 ceiling. Each position inherits its own 50% profit target and 21-DTE manage-by date. Three weeks later, two trades hit their profit target and close early; the third is approaching its manage-by date and gets rolled rather than held into expiry. The capital recycles, and the cycle repeats.
A second scenario: an investor who genuinely wants to accumulate shares of a broad-market ETF at a lower entry. Running the scanner in Buy-at-Discount mode surfaces a strike several percent below spot with roughly 0.35 delta — a strike that pays a substantial credit and, if assigned, results in ownership at a price the investor was already willing to pay. If it expires worthless, the credit is pure profit. Either outcome is acceptable, which is precisely the point.
There’s also the question of what happens after assignment. Being assigned isn’t a failure state in a cash-secured put strategy — it’s the handoff to the next leg. Positions can be sent to WheelTracker, where the assigned shares become the basis for covered calls and the broader wheel cycle continues. Tracking that transition matters, because the real edge in put selling comes from compounding the same capital through repeated cycles rather than treating each trade as a one-off event.
The most common mistakes are predictable: chasing the largest premium on the board regardless of assignment odds, ignoring an earnings date sitting squarely inside the DTE window, oversizing into a single name, and letting a winning trade run past its profit target out of greed. A disciplined scanner doesn’t eliminate those temptations, but it does put the relevant data — assignment odds, ranges, catalysts, dates, and collateral — in one place, which makes the right choice the easy one.
Casablanca data-journalist embedded in Toronto’s fintech corridor. Leyla deciphers open-banking APIs, Moroccan Andalusian music, and snow-cycling techniques. She DJ-streams gnawa-meets-synthwave sets after deadline sprints.
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