Ask any question about a US-listed company, a macro shift, or a market event. Get a cited synthesis pulled from multiple independent live data sources — in one screen, in seconds, with every number traceable to where it came from.
In plain English: when 3 or more independent data sources flagged the same stock in a 7-day window, that stock was 70% more likely to make a 5%+ move in the next 5 days vs. a random stock-and-day. Tested on 240 such cases over the past 3 years.
Most terminals show you what’s already in the price. Avarieux surfaces what hasn’t been priced yet — by tracking when several independent sources start mentioning the same company in a short window.
Quotes, fundamentals, regulatory filings, macro indicators, news, prediction markets — independent feeds, cross-validated. When two sources disagree, we tell you. When they agree, that’s signal.
Every step of the agent’s reasoning is visible inline — what was queried, what came back, what was skipped. No black box. If a number looks off, you see exactly where it came from.
Every number, URL, date, and ticker symbol is auto-checked against the underlying data before you see it. Unverifiable claims get flagged. The grounding badge tells you the verification rate.
Use our compute, or bring your own model key — your spend, your rate limits. Free tier covers casual use; paid tiers raise daily caps and unlock multi-source alerts.
We don’t claim a secret formula. We claim a different architecture: multiple independent live data sources, cross-validated, with a verifier that audits every output for grounding before you see it. The literature below is what tells us the underlying signals are real. The metrics are how we hold ourselves to them.
Year-over-year changes in 10-K and 10-Q language predict subsequent stock returns. Companies that materially modify their filings underperform by ~30 bps/month vs companies with stable language.
Search-frequency spikes precede price moves on small-cap and IPO stocks. Attention is a leading indicator, not lagging — the academic foundation for treating density-of-attention across multiple sources as a tradeable input.
Prediction markets aggregate dispersed information more efficiently than expert panels for binary, time-bounded outcomes. Forecast errors are ~30% lower than alternatives across 50+ markets studied.
Media tone (specifically pessimism in finance columns) predicts short-term price movements and reverts within a week. Information is real but transient — informs how we weight short-window news.
Evaluation metrics we hold ourselves to: lift over baseline · information coefficient (Spearman ρ) · hit rate / payoff ratio · Sharpe ratio · max drawdown · walk-forward validation. Standard quant primitives. Results published as the historical backtest reaches statistical significance.
Drop your email below. When we launch, you get a personal access link with 60 days of Pro pre-applied. No credit card on signup, no auto-charge, no sales calls.
No. Avarieux is informational tooling — research synthesis you read before making your own decisions. The product never tells you what to buy or sell. We surface data; the call is yours.
You ask a question in plain English. It plans a research approach, fetches live data from multiple independent sources in parallel, synthesizes the findings into a cited brief, and shows its full reasoning chain inline. Every number is auto-checked against the underlying data before you see it.
ChatGPT and Perplexity are general-purpose. Avarieux is a finance terminal — it queries live market data, regulatory filings, macro series, and prediction markets through a verifier that flags any claim it can’t back with source data. Generic LLMs will confidently make up numbers. Avarieux refuses to.
We store your conversation history and watchlist so you can come back to them. We do not sell data, we do not run ads against your queries, and we do not share usage with third parties beyond the payment processor for billing. Bring-your-own-model-key option is available on paid tiers if you want to bypass our compute entirely.
First 500 people on the waitlist get 60 days of Pro access free at launch. After we hit 500, the public launch tier is 15 days of Pro. No credit card required at signup; we email you before the trial ends so you can choose to continue, drop to Free, or upgrade.
Soon. We’re in customer-discovery mode through May–June and target public launch shortly after. Waitlist members get access on launch day with their 60-day Pro pre-applied.
Built by Yash Shah, an MS Data Science grad working independently on the product. Not yet incorporated — LLC paperwork follows shortly. Domain ownership and product development are independent of the legal entity.