From a Family of Algorithms to a Focused System
When we first introduced the Stoptions Family, the vision was a lineup of algorithms — each with its own personality and its own job. It was ambitious, and building it taught us a lot.
But building for real money teaches you to be honest about what actually earns its place. So today the system is deliberately simpler, and stronger for it: one algorithm decides what to trade, one model decides when to exit, and an AI brain scores everything in between.
This post is the current, honest map of who does what — including a straight answer about the names you may remember from the original lineup.
Meet Kay — The Entry Algorithm (Live)
Kay is the heart of the system, and she is live. Every trading morning she scans 750+ tickers across the S&P 500, Nasdaq 100, and S&P 400 and decides what to trade — delivering full trade cards to your inbox and dashboard by 9:45 AM ET.
Under the hood, Kay is the V6.7 flagship. She starts from a four-signal composite foundation — EMA crossover, RSI zone, Relative Strength vs SPY, and Volume surge — and only advances the strongest setups. On top of that foundation she runs a two-bucket architecture (30% stocks / 70% options), a trailing take-profit that locks in gains as a trade runs, and a bear put-spread hedge for down markets.
Kay is named for founder Critter's daughter, Kayla Mollie. Her 2020–2026 backtest came in at +406% net return, a 0.78 Sharpe ratio, and a 0.45 Beta — a historical simulation, not a promise of future results.
Meet Yetzi — The Exit Model, Powered by Ritter
Finding a good trade is only half the job. Knowing when to get out is the other half — and that is Yetzi.
Yetzi is powered by the Ritter model, a LightGBM multi-head machine-learning ensemble that watches every open position. It reads three things at once: expected return over the next 1, 3, and 5 days, the probability the trade still wins from here, and a single clear recommendation — CUT or HOLD — printed right on the trade card.
"Ritter" is the family surname and means "Knight" in German — fitting, because Yetzi's whole job is to stand guard over your open positions. One important line: Yetzi is decision support, never automation. It surfaces the read; you always make the call.
Amora Edge — The AI Confidence Brain
Between entry and exit sits Amora Edge, an LSTM neural network that scores every qualifying setup with an AI Confidence percentage on the trade card. It learns from the outcome of every closed trade, so its read sharpens over time.
Right now Amora Edge runs in shadow mode — her scores are logged and calibrated on every pick, but she does not yet drive the ranking. She graduates to Phase 1, where her score begins weighting the picks, once the closed-trade corpus reaches 500.
The name is deliberate: "Amora" is the Latin root for love — the brain that quietly learns from every trade so the whole system gets smarter.
What About the Original Lineup?
Straight answer, because you may remember them: the original lineup included Mollie (the first single-book algorithm) and a planned stocks-heavy variant called Sophie. Neither is part of the product today.
Mollie's DNA did not disappear — her four-signal scoring foundation is exactly what Kay is built on, so her best ideas live on inside the entry algorithm. Sophie was a future build we chose to shelve rather than split our focus.
We would rather ship one entry algorithm and one exit model that we trust with real money than maintain a roster of names for the sake of a roster.
A Clean Start: July 1, 2026
With Kay now driving live entries and Yetzi managing exits, we have reset the member-facing track record to start fresh on July 1, 2026. Everything reported to you from here reflects the current system actually running — not a blend of older, retired logic.
The historical data has not gone to waste: it is exactly what validates the Ritter model behind Yetzi, which needs a deep history of closed positions to learn from. New results, clean baseline, honest numbers.
The Bottom Line
One entry algorithm. One exit model. One AI confidence brain. Kay finds the trades, Yetzi manages the exits, and Amora Edge scores everything in between — with every setup landing in your inbox and dashboard by 9:45 AM ET.
That is where the Stoptions Family is today: smaller, sharper, and built to be trusted with real decisions. Want the full walkthrough? See the Algo page and How It Works.
Frequently Asked Questions
Is Stoptions Kay live or just paper trading?
Kay is live. She runs every trading day, scanning 750+ tickers and delivering full trade cards by 9:45 AM ET. Earlier builds described Kay in a paper-trading validation window; that phase is complete, and Kay's member-facing track record starts fresh on July 1, 2026.
What is the difference between Kay and Yetzi?
Kay is the entry algorithm — she decides what to trade each morning. Yetzi is the exit model — powered by the Ritter machine-learning model, it watches every open position and surfaces a CUT or HOLD recommendation. Kay gets you in; Yetzi helps you decide when to get out.
What happened to Mollie and Sophie?
They are retired. Mollie was the original single-book algorithm, and her four-signal scoring foundation now lives inside Kay. Sophie was a planned stocks-heavy variant that we shelved to keep our focus on one entry algorithm and one exit model. The current product is Kay (entry) and Yetzi (exit).
Why does the track record start on July 1, 2026?
Because that is when the current system — Kay for entries, Yetzi for exits — became the single source of member-facing results. Resetting the baseline keeps the reported numbers honest: they reflect what is actually running today, not a blend with older retired logic. The full historical dataset is still used to train and validate the Ritter model behind Yetzi.