Public Query Console

A deployable quant decision tool built from a finance workflow

The default example is NVIDIA (NVDA). Enter price, volatility, trend, volume, valuation, and event risk to generate an explainable entry zone, take-profit and stop-loss levels, multi-timeframe trend view, and four-dimensional score.

Symbol Current price ATR(14) 20-day MA 50-day MA 200-day MA 5-day return % Volume vs avg % 52-week low 52-week high Forward P/E Event risk

Total score -- Waiting

Directional bias -- Multi-timeframe synthesis

Core entry zone -- Pullback confirmation first

Plan R/R -- Measured with TP1 and hard stop

Price Map

NVDA quant price map

2026-05-20

Price path Trend MA Entry zone Stop/targets

Trade Plan

Trading plan

Observe

Entry: --
Stop loss: --
Take profit: --
Position band: --

Four-Dimensional Score

Four scores turn "should I buy?" into reviewable questions

Multi-Timeframe Forecast

Multi-timeframe trend forecast

Production Workflow

Production uses deterministic calculation, AI explanation, and human audit

Inspired by the Anthropic financial workflow pattern: data connectors fetch market, financial, news, and event data; the quant engine owns scores and levels; AI agents explain, quality-check, and report; the audit layer stores inputs, formula versions, outputs, and human confirmations.

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Audit Trail

Audit trail and public disclosure

This prototype is for research and education only. It is not investment advice, a trading instruction, or a return guarantee. Production deployment requires licensed market data, suitability disclosure, delayed-data labels, backtest reports, model versioning, abnormal-data blocking, and human review.