Alternative Data Signal Service
Detect Coordinated Campaigns.
Capture the Reversal.
We use machine learning to identify stocks targeted by coordinated social media campaigns designed to generate exit liquidity. When artificial demand fades, prices revert. Our signals let you be there first.
The Signal
Exploit Artificial Demand Before It Unwinds
Firms seeking exit liquidity orchestrate coordinated promotional campaigns across social media to inflate demand for their stock. These campaigns follow detectable patterns and create predictable price distortions that systematically reverse.
Our AI-driven system identifies these campaigns in real time, flags the targeted tickers, and generates actionable short signals before the reversal. Each signal includes the detected ticker, confidence score, campaign metadata, and risk parameters. Delivered daily via secure feed or structured report.
Performance
Empirically Documented Returns
Based on hundreds of documented campaign events across a four-year sample. All returns measured from the short side.
Volume Spike on Campaign Detection
Coordinated promotion campaigns generate a sharp, measurable surge in trading volume that our models detect in real time.
Post-Campaign Price Trajectories
Individual price paths for hundreds of detected campaigns. Each line is one security, normalized to zero at detection. The median path shows systematic post-campaign decline.
Research Foundation
Not a Black Box. A Documented Mechanism.
Our machine learning models are trained to recognize the specific patterns that characterize coordinated security promotion campaigns across social media. When these patterns appear, they reliably predict artificial demand followed by systematic price reversal.
The underlying mechanism is empirically validated with proper controls for selection, survivorship, and market conditions. This is not a backfitted screen. It is a structural inefficiency detected through pattern recognition and confirmed across hundreds of out-of-sample events.
Process
From Detection to Signal
Monitor
AI-powered continuous surveillance of social media for coordinated security promotion activity.
Detect
Machine learning classifiers identify campaigns designed to generate artificial demand and exit liquidity.
Analyze
Multi-factor screening for tradability, liquidity, borrow availability, and campaign coordination.
Signal
Actionable short recommendation with ticker, confidence score, timing, and risk parameters.
The Edge
Why This Signal Is Different
Documented Mechanism
Not a statistical artifact. Machine learning detects a specific, documented behavioral mechanism: coordinated campaigns creating artificial demand that predictably reverses.
Academic Rigor
Built on original research by top academics in finance. Full empirical methodology with proper controls, not a backfitted screen.
Live Track Record
Automated detection system running daily, generating verifiable signal history with documented post-signal returns at multiple horizons.
Capacity Constrained
Limited to a small number of institutional clients to preserve signal value. The underlying securities have finite shorting capacity.
Independent Source
Independent research origin with no proprietary trading positions. No conflicts of interest in signal generation. Pure research output.
Uncorrelated Alpha
Returns driven by coordinated campaign dynamics, structurally independent of market factors, momentum, or value exposures.
Get in Touch
Explore the Signal
We welcome conversations with institutional investors and research teams exploring alternative data signals. Reach out to learn more about our work.
Milan, Italy