Hedge-fund-grade research, built for individuals.
Stock Sweeper is building the kind of systematic, data-driven trading program that is usually reserved for firms managing billions, and designing it so individual traders can use it, and eventually pool their signal together.
Institutional tools are locked behind institutional capital.
Traditional managers charge a percentage of your capital every year, whether or not they perform. The systematic, research-heavy programs hedge funds rely on are typically built for, and priced for, firms with billions under management.
Our mission: put a hedge-fund-style program in the hands of individuals, and combine many small traders to identify and amplify trade opportunities.
From thousands of data points to a short, ranked list.
Every trading day the platform sweeps a focused cohort of stocks, scores each one on multiple independent lenses, and surfaces the setups worth a closer look.
Daily screener
A curated cohort of roughly 250 stocks is refreshed every day with price, volume, and fundamental data.
Supply Pressure Score
Weighs share dilution against compression using SEC filings, short interest, borrow, and options data.
ML trade scores
Walk-forward machine-learning models rank opportunities using only information available at the time.
Timing research
Intraday entry and exit studies inform when, not just what, to trade.
Supply Pressure, at a glance
Is the float about to expand through offerings and dilution, or is supply being squeezed? The score condenses filings and market-structure data into one readable gauge.
Illustrative graphic only.
SEC filings research
Automated parsing of company filings flags events like shelf registrations, offerings, and insider activity that change the supply and risk picture of a stock, often before it shows up in price.
Built to be honest with itself.
The easiest way to fool yourself in quantitative finance is with a backtest. Stock Sweeper's research process is designed around avoiding that.
Walk-forward testing
Models are trained on the past and evaluated on the period that follows, then rolled forward. They never see the future.
No lookahead
Features are timestamped to when the data was actually public, so filings, short-interest reports, and prices can't leak into earlier decisions.
Out-of-sample validation
Results are judged on data the model never trained on, and signals must hold up across different market regimes.
Verified track record coming.
We will publish performance only once it has been independently verified. TODO: verified track record & legal review before any performance is shown
Where we're going.
Research platform
Daily screener, Supply Pressure Score, walk-forward ML trade scores, SEC filings research, intraday timing studies.
Multi-horizon signals & hedging by holding time
Separate signals for intraday, swing, and longer holds, with hedges matched to how long a position is expected to be held.
Focused pods
Specialized strategy pods by industry, time horizon, dividends, and growth, each with its own models and risk budget.
Automated trader
Rules-based execution that turns research into disciplined, consistent action, and the foundation for combining many individual traders.
Roadmap items are goals, not commitments, and may change.
Dr. Christopher Ewing
Formally trained as an OBGYN, Christopher brings a physician's discipline to markets: evidence over anecdote, careful testing, and respect for what can go wrong.
During the AI boom he became interested in investing and set out to build his own hedge fund software. Along the way the goal grew: why should this kind of program only exist for firms with billions?
"The goal is to combine the little traders together, to identify and amplify trade opportunities."
Rooted in Silverton, Oregon.
Stock Sweeper is built in Silverton, at the edge of the Oregon Cascades, a place known for its waterfalls and its patient, independent spirit. That's the temperament we want in our software, too: steady, careful, and built for the long run.
Request investor information.
We are building relationships with early supporters who share our mission. If you are an accredited investor and would like to learn more, request information below.
Let's talk.
Questions, partnerships, or press: we'd love to hear from you.
Email usTODO: contact email (placeholder chris@stock-sweeper.com)
Silverton, Oregon