Rank the setup
Compare stocks using the factors and weights that match your process.
Condition-based investing for long-term investors
Know what you’re
waiting for.
Signalist helps long-term investors rank stocks using their own valuation, quality, momentum, sentiment, and risk preferences—then wait for the setup that matters.
Interactive demo MSFT · GOOGL · V · AMD · COST
Interactive demo · Illustrative market dataUpdating market prices
Condition-based watchlist
Define the setup.
Then wait.
You already know what you want to own. Define the price and research conditions that would make you act, then let Signalist watch the setup.
Interactive watchlist
Rank the setup, not the story.
Weighted by your balanced model. Select a company to inspect the evidence.
CompanyOverall scoreMarket data30-day trend
A repeatable process
Research. Define. Wait.
Stop reopening the same stock chart every day. Turn your investment thesis into a setup you can monitor consistently.
Read the evidence
Open every score to see the metrics, assumptions, and trade-offs behind it.
Set the condition
Save the price or score combination that would make you revisit the thesis.
Transparent methodology
One score. Five lenses.
No mystery verdict.
Each dimension is scored independently. Your weights determine how those dimensions combine, while the underlying evidence stays visible.
How Signalist scores a stock
- 01Collect metricsUse relevant company and market inputs.
- 02NormalizeConvert inputs to comparable 0–100 scores.
- 03Group lensesOrganize metrics into five research dimensions.
- 04Apply weightsUse the investor’s selected priorities.
- 05Composite signalCalculate the weighted overall score.
This interactive demo uses illustrative scoring logic. The current composite score is a true weighted average of the five displayed lens scores.
Valuation
Price versus earnings power and a reasonable estimate of value.
Free-cash-flow yield, earnings multiple, historical range, estimated valueQuality
Durability and efficiency of the underlying business.
ROIC, free-cash-flow margin, revenue durability, balance sheet strengthMomentum
Whether price and operating expectations are improving.
Relative strength, medium-term trend, earnings revisionsSentiment
How expectations and the market narrative are changing.
Estimate direction, news tone, positioning, expectation levelRisk
The resilience of the setup when conditions deteriorate.
Volatility, leverage, concentration, drawdown behaviorStart from a preset, then change what matters to your own process.
The overall score is the weighted average of five visible lens scores.
Low, base, and high cases replace a single over-precise price target.
Research inputs update when new company and market data is available.
What Signalist does not do
Signalist does not predict short-term prices, promise returns, execute trades, or replace your own research. It helps you organize evidence and monitor the conditions you define.
Fair value methodology
A range, not a promise.
Signalist presents low, base, and high cases because small changes in growth, margins, or discount rates can materially change an estimate.
Model estimateIllustrative assumptions
Low case$445Base case$472High case$485
- Revenue growth10.5%
- FCF margin34%
- Discount rate8.5%
- Forecast horizon5 years
- Terminal multiple29–32×
These assumptions demonstrate the product structure and are not produced by a live valuation engine.
Reminder workflow
The setups you’re waiting for.
Research → Define → Wait → Act. In this demo, your saved conditions stay in this browser.
Why Signalist
Less monitoring.
More intention.
Rank the same evidence through your own investing lens.
See what strengthened or weakened every score.
Define the setup before price movement tests your discipline.
Return to a company when your thesis or condition changes—not because the chart moved.
Your watchlist should know why it is waiting.