Advanced models analyze thousands of equities daily to optimize capital allocation.
Whether you’re running a hedge fund or institutional portfolio, our ML pipeline offers raw factor outputs and customizable data feeds. Integrate alpha signals directly into your trading system.
Our data scientists have built a proprietary suite of algorithms that evaluate both fundamental and technical factors across 4,000+ liquid US equities—enabling reliable, high-frequency signals you can feed directly into your execution or risk systems.
Our signals point to upside and flag potential underperformers, helping you manage risk or leverage short alpha. Strategies range from plain-vanilla long-only funds to 130/30 or market-neutral approaches. Combine SparkTrade signals with your proprietary risk overlays for a comprehensive approach to driving alpha.
Absolutely. We offer raw factor outputs, probability scores, and custom data feeds, so you can plug SparkTrade’s signals directly into your current models. Our team also supports integrations through Snowflake, Databricks, or secure APIs.
By default, we refresh our universe of 4,000+ stocks on a daily basis. If your
fund requires intraday or more frequent updates, we can discuss a tailored
feed that aligns with your specific trading strategy.
We believe in transparency. While we use advanced ML, our platform
provides factor breakdowns and confidence intervals for each equity. This
ensures you can audit and validate our signals, satisfying both internal
governance and regulatory requirements.
