What You Can Do With LYNX
LYNX discovers human-readable formulas that link your inputs to the outcome you care about—so you can predict, explain, and optimize with confidence.
Patterns LYNX Handles Well
- Forecasting: Find equations that predict a future value (time series, demand, prices, KPIs).
- Scoring & ranking: Produce transparent scores for risk, lead quality, churn likelihood, or win probability.
- Sensitivity & feature impact: See which inputs the best formulas use most often.
- Scenario testing: “What happens to the output if I change X by 10%?”
Finance (Forecasts you can explain)
Typical goal: Forecast short-term movement or fair-value signals.
Inputs: Price history, volume, buyback levels, macro indicators, technical factors (e.g., SMA, RSI).
Output: Next-period return or price level.
Example insight: LYNX might find an equation that blends a moving average slope with a buyback intensity signal—easy to interpret, easy to defend.
Why LYNX: Transparent formulas beat black boxes for compliance and investment committee review.
Clustering / Segmentation (without black boxes)
Typical goal: Group entities by behavior and then explain group membership with a formula.
Inputs: Behavioral/usage metrics, demographics, product attributes.
Output: Cluster label or cluster propensity score.
Example insight: A compact equation showing how two or three variables drive membership in “High-Lifetime-Value” groups.
Sports Outcomes (probabilities & point totals)
Typical goal: Estimate win probability or expected points.
Inputs: Team/athlete stats, pace, injuries, weather, rest days.
Output: Win (1/0), point spread, or totals.
Example insight: Short equations tying pace and shooting efficiency to expected points—fast to validate against historical slates.
Economic Indicators (nowcasts & simple models)
Typical goal: Nowcast GDP, CPI, money supply changes before official releases.
Inputs: High-frequency signals (freight, credit, web traffic), commodity prices, surveys.
Output: Target indicator value next month/quarter.
Example insight: A simple linear-plus-interaction formula that hits strong backtest accuracy and is easy to monitor.
Variable Prioritization (what actually matters?)
Typical goal: Understand which inputs are repeatedly chosen by top formulas.
How it works: LYNX maintains a Top-10 leaderboard and tracks variable usage across winners.
Outcome: A ranked view of your most impactful features—great for feature selection and stakeholder alignment.
Binary Outcomes (yes/no with clarity)
Typical goal: Predict subscribe/cancel, approve/deny, pass/fail.
Inputs: Any numeric features (convert categories to numeric first).
Output: 1 or 0.
Example insight: A compact threshold rule with a couple of terms—auditable and simple to deploy.
Don’t see your industry?
If you can provide a CSV with one output column and up to 100 inputs, LYNX can search for an interpretable formula.
Tell us your use case: service@lynxsr.com
Why teams pick LYNX
Works with your CSV: No proprietary data format, no cloud required.
Interpretability first: Equations you can read, verify, and explain.
Operator control: Choose the math operators you trust (including parentheses).
Live feedback: Watch error drop, with discovery timestamps and a Top-10 leaderboard.
Stagnation-safe: Auto-restart if no improvement in 60s to escape local minima.