Go from your first analysis to a more disciplined research process. These guides explain how each feature was designed to be used, what its evidence means, and where its limits are.
Complete these 7 steps and you'll have a working knowledge of every major feature. Each step builds on the last.
Type a stock ticker (try AAPL or TSLA) into the Time Machine. You'll see the closest indexed historical analogues, the outcomes attached to them, and how widely those outcomes varied.
Navigate to AI Copilot and ask something specific, like "What are the bull and bear cases for NVDA?" or "What does the MACD look like for MSFT?" The Copilot can use available market and Quanta context to organize a research answer.
The Workspace is your command center. Search for a supported stock and inspect its chart, market data, indicators, and AI overlays. Try zooming into a specific range and toggling different timeframes.
Start with the public Results page for Quanta's high-model-score directional signal observations. It shows the current win rate, sample size, uncertainty, as-of date, and methodology. Internal strategy simulations are not presented as public performance evidence.
Add 3-5 stocks you're actively tracking to your Watchlist, then set a price or pattern alert on at least one. When Quanta detects a supported alert condition, you can review the setup promptly and decide what deserves attention.
Visit the AI Signals page to see the current scheduled calls. Free Preview shows one directional summary; Pro unlocks the ranked feed, entry and risk levels, evidence, and reasoning.
Quanta AI also supports crypto research. Navigate to the Crypto section to inspect supported assets with crypto-specific pattern and market-context tools.