StrikeIntel is a deterministic, evidence-based stock intelligence engine. It fuses unusual options flow, smart money 13F positioning, insider and congressional buying, dark-pool pressure, news, social momentum, earnings catalysts and the volatility regime into a single ranked conviction score - then names the one bullish stock to buy shares of, with an entry price and a plan for when to sell. Same inputs, same answer, every time. Stop staring at screens and let the engine do the work.
StrikeIntel Demo
Watch a 2-minute walkthrough of today's ranked pick, signals, and sell plan.
You don't have time to read every 13F, watch every dark-pool print, and price every chain by hand. StrikeIntel does it for you - every trading day, the same disciplined way.
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Data providers
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Weighted signals
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AI analyst agents
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Black boxes
Our compute_weighted_confidence engine collapses thirteen independently sourced signals into a single 0-100 conviction score. No more tab-hopping between flow scanners, IV tools, and news feeds - the work is already done.
Each trading day the engine names one high-conviction bullish stock to buy shares of, with an entry price and a ~10-trading-day hold plan - screened for liquidity so you can actually get in and out cleanly.
Every pick ships with conservative, central, and aggressive share-price targets, a protective stop, and a time-based exit at ~20 trading days - so you know where you're getting out before you get in. Discipline, automated.
One engine, multiple expressions. Every product is driven by the same deterministic, point-in-time research - choose the one that fits how you trade.
One high-conviction stock to buy each day, scored 0-100 across thirteen weighted signals. Ships an entry price, conservative/central/aggressive share-price targets, a protective stop, and a ~10-trading-day time exit - validated in a point-in-time backtest.
An independently selected high-conviction bullish name expressed as a single long call - maximum return per dollar. It ranks the same validated signals but picks the best name to buy a call on (often the shares pick, sometimes a different name when the top name is too volatile for premium). Shows a real, tradable strike, the option's live (delayed) market price next to the pick-time price, and a calculator to set your own profit target and risk.
A stacked-EMA "cloud" trend engine (8/9, 20/21, 34/50, 72/89 EMA pairs) that reads trend, momentum, and low-risk pullback entries like traffic lights and scores each name 0-6. Every name ships concrete exit levels (trend-cloud exit and structure stop) plus a live (delayed) price overlay that shows, in real time, how close price is to its cloud exits. Pure deterministic math - same bars in, same reading out.
An agentic AI assistant that answers any ticker, sector, options, or strategy question. It pulls the live thirteen-signal score, market data, options analytics, company profile, and risk flags in parallel, then streams a structured, honest read - and tells you plainly when data is missing instead of guessing. Educational analysis, never a guarantee.
Most trading tools are either gut-feel newsletters or black-box AI you can't question. StrikeIntel is neither. It is a deterministic engine: every score, direction, pick, and exit is produced by transparent math from sourced data - so the same inputs always produce the same answer, and every recommendation traces back to evidence you can inspect.
No randomness, no mood, no hype. The scoring path is fully reproducible: run it twice on the same data and you get an identical 0-100 conviction score and direction. That is what makes it backtestable - and trustworthy.
Every one of the 13 signals is independently sourced from an institutional-grade provider, and every point of the final score traces to the evidence that produced it. You are never asked to trust a number you can't break down.
The direction engine confirms a bullish setup and ranks the highest-conviction names - so you are buying ahead of the move, not chasing it after the candle has already printed.
Picking one name a day and holding it with discipline sounds simple - until you try it. Reading flow, weighing smart-money positioning, gauging the volatility regime, screening liquidity, and timing a ~10-trading-day exit across hundreds of names is a full-time job that no individual can win consistently by gut feel. StrikeIntel compresses an entire research desk into one disciplined engine that runs the same way every single trading day.
StrikeIntel is equity intelligence and research - not personalized financial advice or a guarantee of results. It is a long-only shares strategy that can have meaningful drawdowns, and past performance does not guarantee future results. You always make the final call on your own capital.
At the core is a deterministic scoring engine. Each name in the liquid universe is scored 0-100 on thirteen independent signals, then combined with published weights (summing to 1.0) into one StrikeIntel Confidence Score. Manipulation risk is mathematically inverted, so heavy off-exchange shorting and crowded positioning lower conviction instead of faking it higher. The number is explainable down to each signal's exact point contribution.
StrikeIntel reads the order flow institutions leave behind. Unusual Whales sweeps and blocks are scored by net bullish-versus-bearish premium and intensity; Quiver surfaces 13F institutional accumulation, Form 4 insider buying, and congressional trades; off-exchange and short-interest data expose dark-pool pressure. Instead of guessing, you trade with a quantified read on conviction from the people who move markets.
The volatility engine reads how much movement is priced into a name so you buy shares into a healthy setup, not a powder keg. It computes IV rank and IV percentile across the live chain, annualized historical volatility (sigma x sqrt(252)), the one-sigma expected move (IV x sqrt(10/252)) over the ~10-trading-day hold, and a volatility setup score - all folded back into the conviction score. You enter when the math says the setup is favorable, not when hype says so.
Most traders nail the idea and blow the execution. StrikeIntel closes that gap. It names one bullish stock to buy shares of, sets the entry price and a ~10-trading-day hold, and screens for liquidity so you can get in and out cleanly. Then it watches the position for you and alerts the exit the moment a rule fires.
The exact live logic is replayed over years of actual share prices in the backtest engine - each pick bought and held to its share-price target, protective stop, or ~10-trading-day exit - so the weights and the confidence gate are validated, not guessed. Win rate, average win and loss, total return, CAGR, and max drawdown are surfaced as a track record, and a gate-threshold sweep proves why the engine recommends at 60. The AI layer is deliberately excluded from backtests, so the numbers reflect the math alone.
Every name in the universe is ranked on a leaderboard you can expand to inspect all 13 signal scores and the entry idea. The top pick is just the top row. Anthropic's claude-opus-4-8 writes the plain-English rationale and may suggest a refinement, but it never overrides the deterministic math.
Conviction score
Cleared the recommend gate. Net-bullish flow with a strong price trend.
StrikeIntel is wired into the same data institutions pay for: Polygon (prices, chains, IV/greeks, news), Unusual Whales (options flow), Quiver Quantitative (insider, congress, 13F, WSB, off-exchange), Financial Modeling Prep (earnings & analysts), FRED (the VIX regime & macro), StockTwits (social), and SEC EDGAR (filings) - with Resend for delivery and Anthropic for narrative. A Qdrant vector store powers RAG retrieval, and a role-gated MCP gateway exposes tools with a full audit trail.
The same deterministic process runs each day and is replayed in the backtest - so what you see live is exactly what was validated on history.
Every cycle pulls prices, full option chains, IV and greeks, unusual flow, insider, congress, 13F, WSB, off-exchange, earnings, the VIX regime, social momentum, and filings - each feed independent and degrading gracefully.
Each candidate is scored on 13 signals and combined with tuned COMPONENT_WEIGHTS into one conviction score. Manipulation and dark-pool pressure are inverted, so crowded or manipulated names are penalized, not rewarded.
The _derive_direction blend (70% trend / 30% confirming signals) confirms the setup is bullish before a name can be picked. If the top score fails the GateMode.min_score gate at 60, the day is honestly reported as 'No high-quality trade today.'
For the winning name the engine sets the entry price and a ~10-trading-day hold plan, and screens for liquidity - so you're only buying shares you can enter and exit cleanly.
Every pick attaches conservative / central / aggressive share-price targets, a protective stop, and a time-based exit at ~20 trading days before the report is published.
Open positions are watched against live rules - the share-price target, the protective stop, or the ~10-trading-day time exit - and an alert is raised the instant one triggers.
Replace a stack of expensive scanners, data terminals, and screen time with one disciplined engine. Get started now - cancel anytime.
Open today's report end to end - the top pick, the radar of all 13 signals, the exact stock to buy, and the sell plan.
Stella is an AI research agent that uses real-time and historical market feed data to score securities and publish daily scores and illustrative outcomes. This is not investment advice. Stella is not a registered investment adviser, broker-dealer, or certified financial planner. The top-scoring idea on any day can and often will lose money. Past performance, backtests, and simulated P/L do not guarantee future results. You are solely responsible for your investment decisions; seek advice from a properly licensed professional. By using StrikeIntel you agree that StrikeIntel and its operators have no liability for trading losses or decisions made from this information.