Important note. This content is strictly educational and informational. It does not constitute investment advice under AMF / MiFID II regulations. Past performance is not indicative of future results.
The principles of ONELIX methodology
ONELIX is based on a historical and statistical reading. Indicators are not used as isolated signals, but as elements of a coherent analysis framework.
The methodology prioritizes transparency: observable data, history, reading zones, drawdowns and past returns.
ONELIX contextualizes risk. The method does not replace personal analysis and does not constitute investment advice.
Why several indicators
A single indicator can be noisy, late or specific to one market regime. ONELIX therefore combines several families to read different risk dimensions.
- Valuation: relative price levels versus fundamentals or trends.
- Rates & Credit: financial conditions and cost of capital.
- Macro Cycle: slowdown, vulnerabilities and recession signals.
- Volatility & Sentiment: tension, uncertainty and risk aversion.
- LIX: composite synthesis of these families.
Normalization and LIX score
Indicators do not all share the same unit. Some are ratios, others spreads, rate levels or volatility scores.
Normalization makes them comparable on a common scale. The LIX then aggregates these signals to provide a synthetic reading from calm zones to historically more stretched zones.
A high score means stronger statistical vigilance, not certainty of an immediate decline.
Drawdowns, returns and backtests
ONELIX links indicator levels to historical statistics: drawdowns, observed future returns, distributions and backtests.
These statistics describe past behavior. They help compare historical regimes, without guaranteeing that the same relationships will recur.
Explore the method in ONELIX
View the dashboard, indicators, drawdown statistics and backtests.
Limits to keep in mind
Markets change. Historical relationships can strengthen, weaken or disappear. Data can also be revised, incomplete or influenced by exceptional regimes.
The ONELIX method aims to make signals readable, but it does not turn uncertainty into certainty.
Historical statistics are informative. They are not guaranteed forecasts.
Frequently asked questions
What does ONELIX methodology describe?
It describes indicator selection, normalization, LIX reading, historical statistics and limits.
Do backtests predict the future?
No. They describe past behavior on historical data.
Why combine several indicators?
To reduce dependence on a single signal and read several risk dimensions.