Methodology
Research Discipline & Signal Methodology
FundCloud's signal infrastructure is built from a live trading operation. Here's how our research process and signal models work.
Past performance does not guarantee future results. Signal performance metrics will be published as auditable track records become available. FundCloud is a research and decision-support platform, not an investment advisor.
Platform Capabilities
What powers FundCloud's quantimental decision layer.
Signal Models
Whale, Shark, Lightsaber
Quantimental Lenses
Quant · Fundamental · Risk · Sentiment
Portfolio Monitoring
Real-Time
Daily Brief
Personalized to Your Holdings
Signal Coverage by Asset Class
Where our proprietary signal models are currently active.
| Asset Class | Coverage | Status |
|---|---|---|
US Equities | Covered | Signal Active |
Crypto | Covered | Signal Active |
ETFs | Covered | Signal Active |
Macro / Thematic | Covered | Signal Active |
Our Methodology
How we measure and report signal performance.
Win Rate Calculation
A signal is considered a "win" if the price moves in the predicted direction by at least the target amount within the specified timeframe. We track both the directional accuracy and the magnitude of moves.
Return Calculation
Returns are calculated from the signal price to either the target exit, stop loss, or timeframe expiration. We report both gross returns and estimates of net returns after typical transaction costs.
Backtesting Limitations
Historical backtests use closing prices and may not account for market impact, liquidity constraints, or execution delays. Live performance may differ from backtested results.
Update Frequency
Performance metrics are updated monthly. Detailed monthly reports are available to Pro and Elite subscribers with breakdowns by strategy, timeframe, and market conditions.
See the Signal Layer in Action
Request access to explore how FundCloud's proprietary signals work in the context of your portfolio.