A practical trading-session workflow

How Traders Use OMP to Move From Watchlist to Reviewed Setup

Start with stocks you already follow, calibrate useful strike levels, scan for matching contracts, compare Monthly Yield %, model the setup, and use AI to check your assumptions before deciding.

Founder walkthrough

The product was built to compress manual options research.

The quick-start video explains the same practical loop: choose the right first page, use the Matrix or scanner to find candidates, move interesting setups into the visualizer, then use AI mostly to validate ideas and check blind spots.

Watch the Start Here video

Start here

Choose the right tool first.

If you are unsure where to begin, use the quick-start videos to match the tool to what you are trying to do right now.

Video 1

3-5 min

Start Here: Which Tool Should You Use?

Use this first if you are unsure where to start or want the platform explained without feature overload.

Watch the quick-start orientation, then choose the page that matches your current trading question.

Video 2

4-6 min

Matrix: Analyse One Ticker Fast

Use this when you already know the ticker you want to analyse.

Choose the symbol, strategy, DTE, delta, POP, yield, and sizing filters.

Video 3

7-10 min

Scanners: Find Opportunities Across Your Watchlist

Use this when you have a watchlist or want the platform to narrow a broader universe.

Choose Short Options for CSPs/covered calls, or Advanced Strategies for defined-risk multi-leg setups.

Video 4

4-6 min

Visualizer: Understand Risk Before You Trade

Use this when you already have a trade idea and need to understand what can happen.

Load or build the position, then check summary cards, breakevens, max risk, Greeks, graph, and table.

Video 5

2-4 min

AI Analyst: Ask Questions About Your Loaded Data

Use this after Matrix or Scanner data is loaded and you want help comparing, summarising, or challenging the data.

Select the loaded context source and ask a specific review question.

Video 6

2-4 min

Settings, Saved Trades & Support

Use this when you want to organize trade ideas, tune the platform, or get help.

Save interesting Visualizer ideas, review Settings defaults, and use Support when confused or blocked.

Three ways to start

Pick the page that matches today's task.

When you know the ticker

Start in the Matrix.

Open the symbol, compare strikes and expiries by Monthly Yield %, then move the best candidate into the visualizer.

When you need more candidates

Start in the Scanner.

Run a saved list through your rules to surface additional stocks and contracts worth reviewing.

When something looks interesting

Start in the Visualizer.

Build or load the idea, then review the payoff curve, breakeven, max risk, sizing and Greeks before deciding what to do next.

The sequence

A repeatable path from research to reviewed setup.

01

Start with your list

Choose the tickers and rules you want to scan.

Start with the stocks you already follow, then set the basic scanner rules: cash-secured put or covered call, minimum Monthly Yield %, minimum POP, DTE range and any starting strike levels.

Your tradable universe

Start with the stocks you already follow and would genuinely consider trading, instead of beginning every session with a blank screen or random ticker ideas.

Rules before results

Set the basic rules first: CSP or covered call, minimum Monthly Yield %, minimum POP, DTE range and any current strike targets you want the scanner to respect.

Saved lists by workflow

Keep different ticker groups for different styles of review, so your wheel watchlist, income watchlist or high-conviction names stay organised.

Repeatable process

The point is not to hunt from scratch. It is to start from a defined list and run the same decision workflow whenever market conditions change.

02

Calibrate levels

Auto-calibrate the levels you would actually trade around.

For cash-secured puts, the question is usually: where would I be willing to own this stock below spot, without sitting too close to the current price? For covered calls, it is the reverse: where would I be willing to sell shares above spot? Those levels move as price, open interest and expiry positioning change. Auto-calibration helps you refresh those strike targets across your watchlist instead of manually checking charts, option chains and positioning data one ticker at a time.

CSP ownership level

For short puts, OMP helps surface the lower strike area where you may be willing to own the stock, using probability and options-positioning context instead of only the current chart.

Covered-call exit level

For covered calls, it helps identify the higher call strike area where selling shares would fit your plan, with call-wall, open-interest and max-pain context beside it.

Watchlist-wide refresh

Instead of opening TradingView and option chains for 30, 50 or 100 tickers, you can review proposed strike updates across the list in minutes and apply the ones that make sense.

Ready for the scan

Once the levels are calibrated, the scanner can look for contracts that also match your Monthly Yield %, DTE, POP, premium, breakeven and allocation rules.

03

Run the scan

Scan for contracts that fit those calibrated levels.

Once the strike targets are calibrated, the scanner checks the option chains for contracts that meet your strike, Monthly Yield %, DTE, POP, breakeven and allocation rules. The result is a ranked shortlist instead of a manual chain-by-chain search.

Matched contracts

See the contracts that actually clear your rules for strike, Monthly Yield %, POP, DTE, premium and breakeven instead of browsing chains manually.

Near-miss context

Non-matched rows help you see what almost qualified, so you can understand whether the opportunity is genuinely absent or just outside your settings.

Income metrics together

Review yield, premium, probability, breakeven and collateral context in one place, with the key trade-off visible before deeper analysis.

Shortlist faster

The scan turns a broad watchlist into a focused set of candidates worth reviewing, instead of forcing you through ticker-by-ticker chain checks.

04

Compare in the Matrix

Rank candidates by Monthly Yield %.

Move from raw premium to a standardised comparison view. The Matrix helps you compare strikes and expiries using Monthly Yield %, breakeven, probability, delta, premium and sizing context.

Monthly Yield %

Standardise returns across expiries so a 7-day, 21-day and 45-day contract can be compared on the same monthly basis.

Better strike comparison

Quickly spot when moving further out of the money gives up very little premium but meaningfully improves breakeven or probability context.

Find yield anomalies

Look for situations where a further strike or longer expiry still offers a stronger Monthly Yield % than the obvious nearby contract.

Sizing context

Use contract count, premium, breakeven and collateral context to understand what the setup actually means for your capital allocation.

05

Model the setup

Open the visualizer before you decide.

Send interesting setups into the Strategy Visualizer to review payoff curves, table views, Greeks, IV changes, commissions and multi-leg strategy behaviour.

Payoff curve

Move from a scanner result into a visual model of the setup, including the payoff profile and what happens across different price levels.

Scenario testing

Adjust dates, strikes, IV and assumptions so you can see how the trade behaves if the market moves, volatility changes or time passes.

Beyond simple trades

Model cash-secured puts and covered calls, then keep the same visual workflow for spreads, condors, butterflies and custom multi-leg ideas.

Decision clarity

Use the visualizer as the review step after discovery, so the trade is modelled before you decide whether it fits your rules.

06

Validate assumptions

Use AI as a second set of eyes.

Ask AI Analyst to compare shortlisted setups, explain trade-offs and challenge blind spots using recent scanner and Matrix context. It supports the decision; it does not make it for you.

Compare candidates

Ask AI Analyst to compare shortlisted trades from your scan or Matrix view using the same yield, breakeven and probability context you are already reviewing.

Challenge assumptions

Use it to ask what you may be missing, which risks deserve another look, and whether the setup still matches the rules you set for yourself.

Plain-English trade-offs

Translate the data into clearer trade-off language: more premium versus lower probability, closer breakeven versus stronger yield, or shorter DTE versus assignment risk.

Support, not signals

AI Analyst is there to help you think through your own data. It does not tell you what to trade and it is not financial advice.

Why traders use it

Spend less time searching and more time reviewing the setups that matter.

OMP is designed for traders who want a faster way to move from ticker ideas to comparable setups, with the key risk and return details visible before they decide.

Before

Ticker list, manual chain checks, scattered calculations and incomplete context.

After

Calibrated levels, matched contracts, Monthly Yield % comparison and a visual review step.

Decision

You review the setup, decide whether it fits your rules, and place any trade in your broker.

Data and execution reality

Built for analysis, not high-frequency execution.

As explained in the walkthrough, the product is meant to identify where the key opportunities may be for the setup you are looking for. Final prices can move before execution, so confirm trade details in your broker.

OMP helps speed up research and comparison before you place any trade.
The platform uses cached/delayed options data, so final trade pricing should still be checked in your broker.
The goal is to narrow the work, compare the trade-offs and make a more informed decision.

Workflow FAQ

Questions answered before you start.

Do I have to use the workflow in this exact order?

No. If you already know the ticker, start in the Matrix. If you need more candidates, start in the scanner. The workflow is designed to let you move between discovery, comparison, modelling and validation.

Does Options Matrix Pro place trades?

No. OMP is a research and decision-support platform. You review the setup inside OMP, then make and execute your own decision in your brokerage platform.

Why does the workflow focus so much on Monthly Yield %?

Monthly Yield % makes different expiries easier to compare. It is not a performance promise; it is a standardised way to view income potential beside risk context.

Is AI Analyst making recommendations?

No. AI Analyst is there to help you ask better questions about your own data. It can explain trade-offs and potential blind spots, but you remain responsible for the decision.

Try the workflow on your own watchlist

Run one scan. Compare the Matrix. Model one setup.

The fastest way to understand OMP is to use it with the stocks you already follow and the rules you already care about.

Card required at checkout. Educational and informational only. Options trading involves risk.