Every page, AI feature, and tab — documented in one place.

Your customizable home screen built from drag-and-drop widgets. Pulls live quotes, fundamentals, technicals, news, options flow, and macro data into one grid. Every widget feeds the AI Copilot, so the assistant always sees what you're looking at when you ask a question.

The chat assistant in the right-side panel that answers questions about any stock, options chain, forex pair, or page you're viewing. It auto-detects what you're focused on (a widget, a tab, or a whole page) and pulls only the data needed to answer. For broader questions it routes the query, fetches widgets or pages itself, and can auto-run Deep Research.

A global setting that tells every page, signal, and AI agent which timeframe you are thinking in: Day Trade, Swing Trade, or Long Term. It tunes price intervals, indicator periods, news windows, risk parameters, and Copilot prompts so the same ticker can read as a buy for swing traders and a hold for day traders.

Your tracked stocks with live prices, % change, 7-day sparklines, and group tagging. Watchlists sync to Supabase across devices and feed almost every other AI module — Morning Picks, Watchlist Health, and the Copilot all read from your active watchlist.

A daily AI pre-market briefing that ranks your watchlist, summarizes overnight news, and surfaces the highest-conviction setups for the day. Runs a downselect, news synthesis, and ranker over your tracked stocks so you start the session with a focused short list instead of the full watchlist.

A real-time global market overview built on TradingView embeds. Shows a ticker tape, indices, futures, bonds, forex, crypto, and top movers, plus a clear market-open/closed status. Useful as your first-glance check on overall risk-on or risk-off conditions.

A grid view of the market where tile size reflects market cap and color intensity reflects today's % change. Lets you see where money is rotating in or out at a glance, sized by importance to the index.

An AI-powered macro event calendar that lists upcoming releases (CPI, FOMC, NFP, GDP, earnings season) and predicts directional impact on sectors and your watchlist. Pulls historical reactions to similar events and produces positioning ideas for each one.

A multi-agent autonomous trading bot that combines specialist agents (technical, sentiment, fundamental) into a single decision pipeline. You configure the strategy, watch live monitor metrics, review the trade log, and audit performance against benchmarks.

Full-universe sector rotation analyzer. For every GICS sector ETF (XLK, XLF, XLV, …) it computes a flow score blending today's % change, 5/10/20-day trend, distance from 20-day SMA, ETF volume pulse (today vs 50-day avg), and constituent-basket breadth (% above 50DMA). Sectors are ranked from largest inflow to largest outflow. The AI then names the dominant rotation theme, lists 2-3 paired rotation calls (money leaving sector A → entering sector B), preferred / avoid sectors, single-stock ideas, and risk flags. Every sector row is clickable for a focused per-sector AI deep-dive (leadership, picks, setups, risks).

Sibling to AI Sector Analysis but at the GICS-industry resolution (Semiconductors, Regional Banks, Biotechnology, etc.). Pulls FMP's industry performance snapshot, enriches each industry with a constituent basket (3-7 representative liquid names per industry) to compute basket move, volume pulse, advance/decline, and 50/200-DMA breadth, then ranks every industry by flow score. The AI calls the industry rotation theme, paired rotation flows, single-stock ideas pulled from named industries, and risk flags. Clickable per-industry deep-dive.

A three-step wizard that builds a quantitative stock-picking strategy and turns it into today's buy list. You configure factor weights across 35 metrics (value, quality, growth, health, momentum, earnings, analyst sentiment), validate it on historical data with a backtest against SPY, then score the live universe to get a ranked top-N portfolio.

Runs a 13-agent AI research pipeline on a single ticker. Five specialist analysts (Market, Sentiment, News, Fundamentals, Earnings) pull live FMP data, then Bull and Bear researchers debate, a Research Manager synthesizes a plan, a Trader proposes the trade, three Risk analysts debate it, and a Risk Manager issues a final BUY, SELL, or HOLD with confidence, position size, stop loss, and take profit.

Pressure-tests a BUY or SELL idea before you place it. You enter a ticker and pick an action, and the page pulls live price, technicals, fundamentals, earnings, and the last news cycle, runs an algorithmic confluence score, and asks the LLM for a second opinion. The output is a verdict, a confidence number, and a written rationale tied to your trading mode.

Runs a multi-agent hedge fund simulation on any ticker. Four quantitative analysts (Fundamentals, Valuation, Sentiment, Technicals) and up to eight legendary investor personas (Buffett, Burry, Munger, Wood, Graham, Ackman, Lynch, Fisher) each cast an independent BULLISH/BEARISH/NEUTRAL signal. A Portfolio Manager weights and aggregates them into a final action with position size, stop loss, and target.

Scans the equity universe across four factor families — quality, value, momentum, and growth — and ranks names by composite score. Each factor is computed from FMP fundamentals so rankings stay fresh without you maintaining the math.

Detects accumulation vs distribution patterns on a stock using OBV trend analysis, volume anomaly detection, and large-print heuristics. Gives you a percentage split between accumulation and distribution scores with a timeline of unusual volume spikes.

Tracks news flow on a ticker or your watchlist, scores sentiment per article and aggregate, and detects narrative shifts over time. Surfaces theme buckets (sector rotation, geopolitical risk, earnings season) and flags contrarian signals when sentiment hits extremes.

Side-by-side comparison of multiple stocks across fundamentals (P/E, margins, ROE, growth), technicals (RSI, trend, momentum), valuation (DCF, relative P/E), and chart overlays. The AI ranks the names across every metric and produces a relative-strength view.

A composite 0-100 sentiment index for the broader market, built from volatility, volume, breadth, social sentiment, and trend factors. Helps you gauge whether the tape is in extreme greed (often near tops) or extreme fear (often near bottoms).

Uses a vision LLM to scan price charts and identify classical technical patterns — head and shoulders, double tops, triangles, flags, cup and handle, wedges — along with key support and resistance. The model sees the chart image and the underlying data, so detections are grounded in real price action.

Trains a reinforcement learning agent (PPO, Rainbow DQN, or IQN) to learn buy/sell/hold decisions on a stock using historical data, then backtests it against Buy-and-Hold and SMA Crossover baselines. You watch training progress live, inspect equity curves and risk metrics, save models, and run predictions on current market data.

Scores every name on your watchlist individually: an algorithmic pre-screen narrows the list, then an AI pass assigns a 0-100 health score, a healthy/warning/critical status, and a suggested action (hold, add more, trim, remove) with the specific issues behind it. Answers "which of these do I still want to own?" name by name.

Cross-position risk for a book you type in or import from Paper Trading: a pairwise correlation matrix, a diversification score, sector concentration as a share of gross exposure, and a portfolio beta against SPY — each reported with the share of the book it could actually be measured on. Answers whether eight tickers are eight bets or one bet eight times.

Shows Wall Street analyst ratings, price targets, and recent rating changes for any stock. Aggregates the consensus and surfaces upgrades, downgrades, and target-price revisions side by side with the current price.

Tracks US Senate and House trading disclosures. Shows which politicians bought or sold which stocks, the disclosed amount range, and links to the official filings. Useful for spotting unusual trading clusters and information edges.

Performance and historical P/E for all 11 GICS sectors. Each sector card shows daily % change, top constituents, and a click-to-expand chart of P/E history over 6 months, 1 year, or 2 years.

A finer-grained version of Sectors covering 50+ industries (semiconductors, biotech, regional banks, etc.) with performance bars and clickable P/E history. Helps you find the specific sub-theme moving the market on any given day.

A dashboard of 16+ macro indicators (Fed funds rate, CPI, unemployment, GDP, retail sales, treasury yields, consumer sentiment, etc.) with current values, recent changes, and AI-generated sentiment tags per indicator. Includes an overall macro sentiment gauge.

A company browser and screener. Search by symbol or filter by sector to surface companies, then see compact cards with name, sector, industry, market cap, P/E, employee count, and HQ location. A starting point when you don't yet know which ticker you want.

A virtual trading account where you can practice strategies risk-free. Add buy and sell trades with custom price and shares, track positions with live unrealized P&L, see realized gains, and review a sector exposure breakdown. State persists in localStorage for guests or Supabase if signed in.

Connects to a real brokerage via SnapTrade so you can view live positions, route orders, and execute the AI's trade ideas without leaving the app. The trade validator runs a final check before any order is sent.

One-click batch scan of today's biggest gap-up and gap-down movers. The AI classifies each name as PANIC (sentiment overreaction — fade), JUSTIFIED (real catalyst — follow), or UNCLEAR (wait). Combines the price move with analyst price-target gap, news sentiment, sector context, and the VIX/SPY regime so you can tell apart a Deepseek-style sentiment panic from a Snowflake-style earnings break.

Looks at every name that reported earnings in the last 5 trading sessions and labels each as FADE (overdone — reverse), FOLLOW (justified — stay in the direction), or WAIT. For each name it pulls actual vs estimate EPS, the overnight reaction (with auto-detected bmo/amc), drift since the report, analyst grade actions, and a slice of the call transcript Q&A — then asks the AI to call it.

A single-ticker options analysis workspace. Pull the full options chain from Alpaca, scan for unusual flow and mispricings, view gamma exposure and IV term structure, get pre-built multi-leg strategy ideas with payoff diagrams, and read AI explanations for signals and strategies. Chain refreshes every 5 minutes.

A six-tab options analytics workbench that scans up to 10 tickers at once for unusual flow, builds and stress-tests a paper portfolio with full Greeks, ranks multi-leg strategies, tracks day-over-day open interest, compares earnings straddles to historical moves, and generates a streaming AI market brief. Every tab adapts to your selected trading mode.

A 6-tab AI-powered FX workspace covering 50+ pairs (majors, minors, exotics). Live quotes refresh every 30 seconds with pip-aware math, four-session liquidity clocks, indicator consensus, AI-generated pip signals, vision chart-pattern detection, and a multi-agent deep research pipeline that issues BUY/SELL/HOLD with explicit pip target and stop.

A 24/7 crypto intelligence workspace with 11 tabs: overview, chart, technicals, signals, Fear & Greed, Whale Detector, Alpha Scanner, Narrative Radar, Trade Validator, AI deep research, and BTC correlation. Tailored for crypto with percentage-based targets, BTC correlation weighting, and 5-analyst AI research.