How It Works

Analyze SPY price action, VIX volatility, and breadth indicators to classify current market conditions as BULL, BEAR, or FLAT.

Rank sectors by relative strength using ETF performance. Filter sectors appropriate for the current market regime.

Screen 6,700+ NASDAQ and NYSE stocks against fundamental criteria: P/E, ROE, debt ratios, revenue growth, and market cap.

Apply four proprietary strategies — Bluechip Dip, Trend Start, Range Breakout, and Defensive — each tuned for specific market conditions.

Algorithmic scoring on 12+ technical and 5+ fundamental factors. Deterministic — same inputs produce the same score, every time.

Four AI models add commentary on top of the algorithm's decision. They explain context, identify catalysts, surface risks — but never change the signal. Advisory layer only.

Apply VIX filters, earnings blackout windows, drawdown checks, and position sizing. Advisory layer — shows risks, never blocks signals.

We gather news from open sources every hour — Google News, CNBC, Yahoo Finance, Nasdaq, Reuters, and other major outlets via RSS feeds and news APIs. No human curation at this stage — everything enters the pipeline.

Algorithmic similarity check across content and ticker overlap. Near-duplicates are dropped before any AI sees the article.

Every article is matched against a market narrative among 8,000+ active themes. An algorithmic embedding filter narrows candidates fast; AI then confirms the match or opens a new narrative.

The same article goes to Claude, ChatGPT, Gemini, and Grok with identical prompts. No model gets priority framing — opinions are directly comparable. This is the only step where AI generates content.

Prompts explicitly forbid speculation beyond the article text. Models must cite specific facts from the source. Output is validated — claims unsupported by the article are dropped before publication.

Analysis is translated to 16 languages with automated guards on terminology and brand names. Published to the portal, Telegram channel, and Telegraph (for long-form pieces).

We pull financial data straight from filings — SEC EDGAR (10-K and 10-Q reports), enriched with Finnhub and yfinance where useful. No interpretation, no editorial layer — what's on the page is what the company filed.

Daily OHLCV from yfinance, live quotes from Finnhub. Five-year history, multiple timeframes. Raw market data — no filtering, no commentary.

Wall Street ratings and price targets aggregated from Finnhub. We show the raw distribution — no AI re-interpretation of what analysts said.

Industry peer groups built algorithmically; statistical medians for P/E, ROE, margins, and growth rates. Pure math against the cohort — no rankings, no opinion.

Once per quarter, four AI models debate the ticker: bull case, bear case, devil's advocate, supervisor verdict. Same anti-hallucination guards as in news — models must cite the facts above. Supplementary commentary, never replaces the data.

The Talk Show, news titles, and narratives are translated to 16 languages. Each page ships with full structured data (JSON-LD) linking back to its SEC EDGAR primary source.