SST Alpha Engine Documentation
The SST Alpha Engine is an education-first research tool for studying small-cap US equities, built and operated by Strong Stock Trading L.L.C. It combines market scanning and a research review stack whose scoring system is under active rebuild. Live fills today are manual Webull entries when the operator chooses to act — this public page does not promise autonomous trade execution.
This documentation covers how the research stack works at a conceptual level. Proprietary scoring formulas, weights, and thresholds are trade secrets and are not published here.
Trading Philosophy
SST was built on a single premise: the trading education industry is broken. Alert services charge hundreds of dollars per month for watchlists that arrive after the move. Gurus post wins and bury losses. Retail traders are left holding the bag.
The Alpha Engine takes the opposite approach:
- No Hype: Every trade is logged — winners and losers. Full transparency is not a marketing slogan. It is the entire model.
- No Advice: The system scores data and shows what it sees. You decide what to do with it.
- No Launch Gate Shortcuts: The platform will not be called a success until it generates $5,000–$10,000 in real, live trading profit. Not paper trading. Not backtesting. Real money.
- Education First: 10 courses, 95 modules, and 250 quizzes covering stocks, options, futures, forex, ETFs, and crypto — all included for members.
By the Numbers
The Genome
The genome is the research scoring layer of the Alpha Engine. It is a weighted multi-factor framework that scores study candidates. A candidate must clear research thresholds and risk gates before it is treated as a serious review idea.
The weighted scoring system is under active rebuild. It is designed to use multiple research factors and risk gates. We do not claim that weights self-adjust after every live trade, and we do not publish proprietary factor counts or paper win rates as marketing proof on this page.
- Multiple research factors (volume, momentum, technicals, fundamentals, and more)
- Risk gates that must pass before an idea advances in review
- Score threshold used internally for research triage (proprietary details unpublished)
- Soft rebuild in public — education and architecture notes, not a live self-learning product promise
Research roles
The Alpha Engine is framed as a research committee, not a single autonomous bot. Distinct roles review candidates and pass notes to a coordinator. An idea should survive skeptical review before anyone treats it as actionable study material. Live fills remain manual when the operator chooses to trade.
🔍 Scout (research)
Scans markets across multiple scan types and surfaces candidates that match current research criteria for further review.
📈 Analyst (research)
Performs technical study on each candidate — price action, momentum, relative strength, and patterns across timeframes.
📚 Researcher
Validates each candidate with volume analysis, float data, catalyst checks, and sector context. Asks whether the story matches the numbers.
🚫 Debunker
Actively tries to disprove the thesis. Looks for hidden risks, dilution history, earnings traps, and reasons not to advance the idea.
💡 Monitor (research)
Tracks study positions and risk markers — targets, stops, time-based exits, and market condition changes — for review notes.
⚙ Coordinator
Orchestrates the research roles. Manages workflow, resolves conflicts, prioritizes review work, and keeps notes organized during market hours.
Strategies
The Alpha Engine uses 24 stock strategies and 10 options strategies, each scored and filtered by the genome. Examples include Gap & Go, VWAP Bounce, Low-Float Momentum, ORB Breakout, and various swing setups. Options strategies include Iron Condor, Credit Spread, and Wheel.
When orders are placed manually, the operating rule is limit orders only. Market orders are not used. Public pages do not promise automated broker execution.
Risk Disclosure
⚠ Important Risk Disclosure — Read Before Using This Platform
SST Alpha Engine is for educational purposes only. It is not a registered investment advisor, broker-dealer, or financial planner. Nothing on this platform constitutes financial advice, investment advice, trading advice, or any other type of advice.
Trading stocks, options, penny stocks, and other securities involves substantial risk of loss and is not suitable for every investor. The strategies, signals, and AI outputs generated by this platform are research tools, not recommendations to buy or sell any security.
Past performance shown on this platform (including backtested results, paper trading results, and live trading results) does not guarantee future results. Individual results will vary. You can lose some or all of your investment.
By using SST Alpha Engine, you acknowledge that you are solely responsible for your own trading decisions and that Strong Stock Trading L.L.C. bears no liability for any losses incurred as a result of using this platform’s output.
Governing Law: State of Arizona, United States of America.
© 2026 Strong Stock Trading L.L.C. All Rights Reserved.
API Reference Coming Soon
A public API is planned for member-tier access to signals, watchlists, and historical trade data. It is not available at this time.
The following endpoints are in development and will be documented here when released:
GET /v1/signals/live— Planned research endpoints (not live) Coming SoonGET /v1/trades/history— Historical trade data with performance metrics Coming SoonGET /v1/markets/data— Live market overview and sector data Coming SoonGET /v1/watchlist/daily— Planned daily research watchlist endpoint Coming Soon