Type any ticker. Get a decisive buy or sell — with a specific entry zone, stop loss, and price target. No hedging. No "it depends."
Most stock analysis tells you "it could go up, but there are risks." That's not analysis — it's liability protection. The AI Stock Analyst runs nine independent factors simultaneously and synthesizes them into a single Confluence Score (0–100) and a non-negotiable Action Plan: entry zone, stop loss, price target, position size, expected hold time, and the specific conditions that would kill the trade. If the score is below threshold, the verdict is "No Trade" with the exact reason. No forced opinions.
Confluence Score 0–100: a single grade combining every factor
Action Plan: specific entry zone, stop loss, price target, hold time, position size
Monte Carlo simulation: 1,000 probability paths showing P(gain) and P(loss)
Market regime detection: Bull/Bear/Chop × Low/High-vol, backtest weighted to current regime
Options chain IV, put/call ratio, and skew — is the market pricing fear or complacency?
Invalidators: the specific conditions that kill this trade thesis — so you know when to exit
Yes — that's exactly what it's built to do. Enter NVDA, and you'll get a Confluence Score, a Bullish/Neutral/Bearish verdict, and a specific Action Plan with entry zone, stop loss, price target, and position size. If the current setup doesn't meet the threshold (Confluence ≥75 for swing trades, ≥80 for longer-term), it returns "No Trade" with the exact factor that fell short — rather than manufacturing a weak recommendation.
General AI models like ChatGPT explicitly refuse to give specific investment recommendations and deliberately hedge every answer. The AI Stock Analyst is purpose-built to be decisive: it runs a quantitative pipeline (backtested signals, regime detection, Monte Carlo simulation, options data) and is instructed to produce an action plan, not a discussion. The difference is the underlying data pipeline and the mandate to be specific.
Multiple factors contribute with specific weights: signal/technical confluence (35%), historical win rate for this exact setup (20%), risk/reward ratio (15%), expected value (15%), factor breadth — how many factors agree (10%), relative strength vs S&P 500 bonus (5%). Not every factor is available for every ticker, so the exact number contributing varies by what real data exists for that stock. A score above 75 triggers a swing trade signal; above 80 triggers a longer-term position. Below threshold: no trade, and the lowest-scoring factor is called out explicitly.
It works for any US-listed equity or ETF — individual stocks, sector ETFs (XLE, XLK, etc.), broad market ETFs (SPY, QQQ), and leveraged ETFs. It also handles share-class variants like BRK-B correctly. International stocks with US listings work for the technical analysis; fundamental data coverage varies by market.
"No Trade" is a real output, not a cop-out. It fires when the Confluence Score is below threshold, when the expected value is negative, when win rate is below 55%, or when R:R is below 1.5. The exact failing factor is shown so you understand whether it's a timing issue (try again in a pullback) or a fundamental thesis problem (move on). Avoiding bad trades is as valuable as finding good ones.
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