Research methodology

How Signyx works.

A practical guide to how Signyx organizes market evidence, evaluates user-defined strategy conditions and produces real-time simulated outcomes.

Transparent principles, protected implementation. This page explains data categories, processing stages, simulation assumptions and limitations. It does not publish proprietary factor weights, internal thresholds or model code.
01 · Evidence flow

From raw events to usable signals.

Signyx currently indexes newly launched Tokens within a 30-day coverage window on supported networks. Tokens that fall outside this scope or do not pass required risk and data-quality screening are not shown. Signyx combines eligible on-chain and market inputs, validates their freshness and consistency, and organizes them into layers users can inspect or use in a strategy.

01

Collect

Supported chain, contract, liquidity, holder and market-activity inputs.

02

Validate

Freshness, availability, indexing progress and consistency checks.

03

Derive

Calculated metrics and system signals built from validated inputs.

04

Evaluate

User-defined conditions evaluated against new Tokens on the selected chain.

02 · Information layers

Facts, derived metrics and signals are different.

The interface keeps direct observations separate from calculated interpretation so users can understand what each value represents.

Base MetricsDirect or normalized observations such as price, liquidity, volume, holder counts and contract facts.
Derived MetricsCalculated measures produced from validated inputs within a defined observation context.
Live SignalsCurrent system interpretations that summarize conditions; they are not forecasts or trade instructions.
Contract SafetyChecks across supported contract-risk dimensions. A favorable state is not a guarantee of safety.
Strategy FactorsConfigurable conditions users combine to evaluate newly issued Tokens on a selected chain.
Strategy EvaluationEvery required enabled condition must pass before a simulated entry can be recorded.
03 · Real-time simulation

A research simulation, not an executed trade.

When every required condition passes, Signyx records a simulated entry and applies the configured exit logic using real-time market inputs.

New Token detected→Required conditions pass→Simulated entry→Configured exit
Price sourceLatest reliable supported market input; fallback use is explicitly marked.
Execution modelSystem assumptions account for fees, slippage and available liquidity.
No custodySignyx does not place a real order, hold funds or connect a trading wallet.
04 · Data status

Freshness and failure are visible states.

When inputs are not reliable, the interface identifies the limitation instead of inventing an outcome.

LIVECurrent supported data is available and within the expected freshness range.
DELAYEDData is available but later than the expected update window; affected values show their timestamp.
INDEXINGHistorical or lifecycle coverage is still being assembled and may be incomplete.
UNAVAILABLEA required input cannot currently be used; affected analysis or simulation is suspended.
05 · Limitations

Models simplify markets.

Signyx supports research and controlled simulation. It cannot remove market, data, liquidity, execution or smart-contract risk.

  • Past simulated outcomes do not predict future performance.
  • Fast markets can move between observation and modeled execution.
  • Liquidity, fees and slippage assumptions may differ from a real transaction.
  • Contract checks reduce uncertainty but cannot prove that a Token is safe.
  • Signyx information is not financial advice or a recommendation to trade.