Stock Alerts Backed by Research, Fired by Rules You Can Audit

From researched thesis to auditable alert condition

Start with a falsifiable market view rather than a vague request to find a winning stock. A thesis such as “energy shares may strengthen if oil breaks higher while momentum confirms” gives the research pipeline a relationship to encode. CommonQuant extracts the structured thesis — theme, sectors, direction, horizon — and selects US equities, ETFs, or a major supported crypto asset from its validated security universe, grounded in real fundamentals data rather than hardcoded lists. Unknown symbols are dropped rather than invented.

The research then compiles into explicit entry and exit rules in CommonQuant’s strategy language. It can draw from exactly 20 supported indicators across momentum, trend, volatility, volume, and price channels — RSI, Stochastic, Williams %R, CCI, ROC, Momentum, MFI, EMA, SMA, MACD, ADX, ATR, Bollinger Bands, Keltner Channels, OBV, VWAP, SuperTrend, Donchian Channels, Pivot Points, and Ichimoku Cloud — plus chart patterns, divergences, and support/resistance structure.

This is the trust layer: AI where judgment matters, rules where trust matters. Instead of receiving an unexplained AI opinion, you can inspect the instruments, indicators, parameters, and conditions that define the signal, and adjust indicator parameters and portfolio allocation before activating the strategy.

Monitoring from one minute to one week

CommonQuant evaluates live strategies across supported timeframes from 1 minute to 1 week: 1m, 5m, 15m, 30m, 1h, 4h, 8h, 1d, and 1w. Intraday coverage varies by asset class. The selected timeframe should match the speed of the thesis. A fast momentum condition and a weekly trend filter answer different questions, even when they use the same ticker.

Continuous monitoring removes the need to keep a chart open and repeatedly check the same indicators. It does not remove judgment. A triggered condition says the strategy rule became true; it does not guarantee that the market will move as expected. The news judge helps with the harder half of that question — whether the original thesis is still valid — but liquidity, spread, and event risk remain yours to weigh before acting.

• Use shorter timeframes for conditions that genuinely depend on intraday movement.
• Use daily or weekly rules when the thesis is about a slower trend or fundamental catalyst.
• Keep exit conditions as explicit as entry conditions so the alert lifecycle is complete.

Alert channels and plan availability

Every plan includes the in-app signal inbox and pay-as-you-go email alerts. The Free tier starts with 1,000 credits, refills 500 credits per month, and supports up to three signal subscriptions. It is a practical way to generate a small number of strategies and observe how their conditions behave without entering payment details.

There is one paid plan, Max, at $49 per month, with a $5 first month for a first paid subscription. Max includes Telegram, email, SMS and WhatsApp alerts with monthly allowances of 30 SMS, 55 WhatsApp, 180 Telegram, and 180 email messages, plus premium model access and 200 included reports. SMS and WhatsApp are metered, so availability is not unlimited unless the plan explicitly says so. The plan can be cancelled at any time.

How this differs from a basic price alert app

A basic price alert watches one comparison, such as a stock crossing $100, and leaves the analysis outside the alert. A CommonQuant alert carries its research with it. The condition itself can express a fuller setup — a momentum crossover, a volatility expansion, price moving relative to a band — across multiple instruments selected for the thesis. And because the trigger is a deterministic compiled rule, you can audit exactly why it fired instead of trusting a black box.

The deeper difference is world-awareness. A price alert has no idea why you set it. A CommonQuant strategy knows its own thesis and its explicit invalidation conditions, and the AI news judge keeps reading market news against them — so you can be alerted that the reason for the trade no longer holds, before any price line is crossed. A dedicated backtest view lets you examine a strategy against historical data yourself. Backtesting and live alerts are evidence tools, not promises about future performance.

A responsible alert workflow

Review the invalidation conditions the research pipeline attached to the thesis, and add your own if something is missing. Review the generated tickers and rules, remove any instrument you do not understand, choose a timeframe that matches the thesis, and decide which notification channels are appropriate. When an alert arrives, read the attached reasoning, verify the context, and place any trade through your own brokerage account only if it still fits your plan.

CommonQuant is a quantitative tool for alpha validation and does not provide financial advice. Past performance does not guarantee future results. The platform helps convert an idea into a researched, monitorable condition; responsibility for the decision remains with you.

Frequently asked questions

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Start free with no credit card. Review every strategy before activating it; CommonQuant sends signals and does not execute trades.