10 specialist AI agents, coordinated by an orchestrator, read SEC filings, live news, Fed and policy releases, and jobs and inflation data. An 8-stage quant engine scores your holdings on trend, backtested win rate, fundamentals, and portfolio fit.
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Three steps. No analyst required.
Every weekday morning, and whenever you ask, 10 specialist agents read SEC insider and 8-K filings, live company news and analyst ratings, Fed and Federal Register releases, and the latest jobs and inflation prints from FRED.
An 8-stage quantitative engine reads the market regime, scores each ticker on trend, relative strength and volume, checks how the same setup performed historically, reviews fundamentals, and models bull, base and bear cases.
Each idea comes with a direction, a conviction score from 0 to 100, entry, stop and target zones, the catalyst behind it, and the level that would invalidate it.
Each agent covers one area. They run together for the daily brief, and you can ask any of them a question directly.
Pick a specialist, or ask all of them at once. Each answer draws on your holdings, live prices, and the agent's own data, and lists its sources.
Answers name the agent that wrote them and end with a clear next step.
Each signal gives a direction, an urgency, a conviction score, and the catalyst behind it, with filters by direction and urgency.
Signals like these, built around your holdings. From $19/month.
Request Early AccessA Python quant engine runs beneath the agents in eight stages. It scores the market, each ticker, and your whole portfolio, and its output feeds the daily brief and the advisor.
Before any ticker is scored, the engine classifies the market as Risk-On, Neutral, Risk-Off, or Volatile Transition. It checks whether SPY, QQQ, and IWM sit above their 20- and 50-day moving averages, their 20-day returns, the VIX level, and the recent move in the 10-year Treasury yield. The regime is recalculated every run and shapes every later score.
Each ticker gets a 0–100 score built from price trend, relative strength against SPY, volume, its sector's rank, catalysts, and risk penalties. A separate squeeze model reads short interest, days to cover, and float.
Scores become a label (for example Buy Watchlist, Hold / Monitor, or Sell / Avoid) with a conviction score. Entry, stop, and target zones come from the stock's own volatility: stops are ATR-based when price history is available, and targets are multiples of that stop risk, so the risk/reward shown is realistic. Each idea also carries the level that would invalidate it.
Each setup is matched against how the same setup performed in past price data. You see win rates and average returns over 1, 5, 10, 20, and 60 trading days, average drawdowns, and the sample size, so you know how much weight to give it.
Conviction is adjusted for fundamentals: valuation against growth and quality (forward P/E, price to sales, EV/EBITDA, free cash flow yield, margins, leverage), whether analyst estimates are rising or falling, and whether peers in the same theme confirm the move.
Bull, base, and bear cases each get a price target and a probability. The probabilities come from conviction, setup quality, the market regime, backtest evidence, and fundamentals, and the stage reports the expected value across the three. They are model estimates, not guarantees.
Each idea is checked against your actual portfolio: single-stock weight (20% limit), sector (40%), theme (45%), and factor (50%) exposure, overlap and correlation with what you already hold, and how many positions you have. Ideas that would break a limit are flagged.
The stages combine into one structured output, ranked by priority. The daily brief and the advisor read it, so their trade ideas carry the same scores, zones, and warnings.
Pre-Trade Checklist
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What institutional desks actually watch
Early access members lock in founding rates permanently. Price increases as the platform scales.
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Everything you need to know before requesting access.
Argus Terminal is an AI market research platform. 10 specialist agents, coordinated by an orchestrator, read SEC filings, live company news, Fed and policy releases, and jobs and inflation data. An 8-stage quant engine scores your holdings. You get a daily brief, a signal feed, and an advisor you can ask anything.
Bloomberg delivers raw data feeds requiring analyst interpretation. Argus Terminal uses AI agents and a quant engine to turn data into structured ideas with entry, stop, and target zones, at $19/month versus Bloomberg's ~$2,000/month. No hardware, no interpreter, no institutional contract required.
SEC EDGAR Form 4 insider filings and 8-K material events. Federal Reserve monetary policy releases. New Federal Register rules. Live company news and analyst ratings. Live and historical prices and volume. Unemployment, payrolls, and CPI data from FRED. Short interest data. A Nasdaq earnings calendar.
Serious retail traders who make their own investment decisions and need institutional-quality research tools. Small asset managers, independent analysts, and family offices who want AI research and quantitative conviction scoring, without a Bloomberg subscription or an in-house research team.
Two tiers: Free ($0/month: 5 holdings, 5 AI queries/day, earnings calendar) and All Access ($19/month founding rate, locked in for founding members: unlimited holdings, signals from all 10 agents, the full AI advisor, SEC filing alerts, custom alert rules, and the trade journal). No credit card required to join the waitlist.
No. Argus Terminal is a research and data aggregation platform. All signals, briefings, and agent outputs are analytical research aids, not investment recommendations. You retain full decision-making authority. Always consult a licensed financial professional before acting on any market data or signal output.
Founding cohort locks in $19/mo permanently. We're onboarding in small batches to maintain signal quality.
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