Product updates

What's new.

The latest shipped to TradePolaris — leading with Vega and the AI research stack. Everything below is live in the product today.

  1. June 2026AI

    Vega — your AI research analyst

    Vega is a chat analyst that does the work, not just the talking. It queries the data lake, searches the web for context, drafts a strategy, and runs a preview backtest — showing each step live with the SQL and sources cited.

    • Author charts and tables on the fly from a plain-English request
    • Citation cards: every answer pairs a source, a chart, and the query behind it
    • Proposes the big actions (full validation, paper deployment); you confirm — it never auto-executes
    • @-mention any stock or dataset to pull it into the conversation; a built-in cost meter keeps spend visible
  2. June 2026Analytics

    Portfolio & holdings analytics vs the S&P 500

    Backtest reports now chart the equity curve against an S&P 500 benchmark and break performance down by holdings, so you can see where return and risk actually came from relative to the market.

    • Benchmark overlay on the equity curve with alpha, beta, R², tracking error and information ratio
    • Up/down capture and a full Fama-French 5-factor + Momentum decomposition
  3. June 2026Data

    Live news feed + latest headlines

    A live news feed with per-ticker sentiment now runs across the terminal. Ask the data for the latest headlines on a name and get a current article stream alongside the numbers.

    • Per-ticker sentiment with an AI-scored overlay
    • Inline on asset pages and queryable in plain English
  4. June 2026Workflow

    Conditional alerts + an Updates inbox

    Set conditional alerts on the data you care about and receive them in an in-app Updates inbox — so a watched condition or a strategy event reaches you without babysitting a screen.

  5. June 2026Engine

    Honest, survivorship-aware backtests

    Our backtest engine reconstructs the investable universe as of each past date — including names that later delisted — and models realistic trading costs. We would rather show a lower, truthful number than a flattering one. Backtested results are hypothetical and not indicative of future results.

    • Survivorship-free universe option on the full tier (delisted names included)
    • Next-bar-open fills, gap-aware stops, bid/ask spread, square-root market impact and short-borrow costs
    • Walk-forward, out-of-sample validation — not a single in-sample curve fit
  6. June 2026Data

    Index & sector screens

    Screen by index membership (S&P 500, Nasdaq-100, Dow) and by sector with curated, point-in-time data — no live web round-trip needed for the common universes.

    • Real index levels and ~3 years of price history across 11 indices
    • Sector heatmap, breadth and most-active names on the live markets dashboard
  7. June 2026Analytics

    Institutional tearsheet & on-demand analytics

    Every backtest produces a professional report, and you can run the same metric suite on any ticker, basket, or benchmark on demand — no backtest required.

    • Performance: total return, CAGR, Sharpe, Sortino, Calmar, monthly-returns heatmap
    • Risk: volatility, max drawdown + longest underwater stretch, Ulcer index, VaR & CVaR (95%/99%)
    • Overfitting credibility layer: Probabilistic & Deflated Sharpe, Minimum Track Record Length, Probability of Backtest Overfitting
  8. June 2026AI

    Deep Research mode for Ask the Data

    For questions that name a universe we can't list directly ("the Fortune 500 by net margin"), Vega does a live web search to resolve membership only, then pulls the actual figures from licensed data — so the answer is vendor-grade, not scraped guesswork.

  9. June 2026Platform

    Usage-based credits, open signup & shareable tearsheets

    Sign up in seconds and pay only for the compute you run. Mint a public link to any backtest report to share what you built, with a clean social preview card.

    • 100 credits = US$1; 300 free credits every month, no card
    • Ask the Data and preview backtests are free; a full walk-forward backtest is priced on its actual compute — from ~51 credits ($0.51), scaling with history, factors & positions
    • Shareable public tearsheets + a referral waitlist with line-jumping

TradePolaris is research software, not investment advice. Backtested and hypothetical results do not predict future performance. Trading is paper (simulated) only. See our Disclaimer.

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