Methodology
How LyraAlpha
avoids hallucinations.
Most AI finance tools fail because they let a language model generate metrics from memory. LyraAlpha inverts this: compute first, interpret second. Every number shown was computed. Every insight references only computed numbers.
Deterministic Engine First
Every signal LyraAlpha produces — trend score, volatility regime, price action pattern — is computed by deterministic engines before any AI touches it. The AI never invents a metric; it only interprets what the engines already measured.
No Hallucinated Metrics
Generic LLMs confidently invent price targets, P/E ratios and sector classifications. LyraAlpha's AI is only allowed to reference numbers that were computed by the signal layer. If a metric wasn't computed, it isn't shown.
Market Regime Awareness
Before any analysis, the platform classifies the current market regime (bull trend, bear trend, high volatility, accumulation, distribution). Every response is contextualised against the active regime so reasoning stays grounded.
5 Asset Classes, One System
Equities (NSE/BSE & NYSE/NASDAQ), crypto, ETFs, indices and commodities are all analysed through the same deterministic pipeline — ensuring consistent signal quality across markets.
Lyra vs Raw Data
Lyra is not a data lookup tool. It is a reasoning layer. It takes your question, the engine-computed signals and the current market context and produces a structured thesis — setup, risk, next step — not a data dump.