Frequently asked questions.

TradePolaris is a financial research platform built around two AI systems: Aegis, an institutional-grade risk and portfolio suite (ex-ante VaR/CVaR, stress testing, factor-risk decomposition, and portfolio optimization), and Vega, an AI research analyst that runs multi-step investigations and cites its sources. Around them sit free TradingView charts and market data, natural-language queries over versioned datasets, a strategy builder, and walk-forward backtesting with explicit data-integrity warnings.

Vega is TradePolaris's AI research analyst. You ask a question in plain English; Vega queries the market data, searches the web where needed, authors its own charts, and returns an answer with cited sources — an analyst that does the work and shows it.

Aegis is TradePolaris's institutional risk and portfolio management suite — Aladdin-grade risk for your own book. It includes a Portfolio Risk Cockpit (ex-ante VaR/CVaR, factor-risk decomposition, exposure and concentration), scenario and stress testing (historical crisis replays, macro and factor shocks, Monte-Carlo), an institutional portfolio optimizer with sector and turnover constraints and Black-Litterman views, and multi-strategy sleeve portfolios with aggregate risk.

No. TradePolaris is research software. It does not execute trades, hold funds, or provide custody, and it is not investment advice. Paper trading on the platform is fully simulated, and backtests are hypothetical and not indicative of future results.

TradePolaris covers US and international equities, fundamentals, holdings, options, futures, FX, crypto, indices, news, and macro series, with advanced charting provided by TradingView. Coverage dates vary by dataset and version. The US reference directory retains inactive and delisted symbols where supplied, which reduces survivorship bias without certifying every historical universe as complete. Point-in-time support is lane-specific and declared in each Kappa schema.

Full backtests run as walk-forward evaluations: strategies are fitted on one period and tested on data they have never seen, repeatedly, rather than graded on the data they were tuned on. Results pass through explicit overfitting and robustness gates before they are presented, and costs are modeled realistically.

Charts and market data are free for every user, with no paywall on any plan. AI-powered work is usage-based: 100 credits equal US$1, a Vega research message costs about 60 credits, and full walk-forward backtests are priced on their real compute, from about 96 credits. Every account gets 200 free credits monthly; Pro is $49 per month with 1,000 credits included; Aegis is $249 per month with the full risk suite and 5,000 credits.

TradePolaris.com operates the TradePolaris service, which was founded in 2026 by Rohan Rathod, a quantitative trader and market maker based in London. The platform is also referred to as Polaris or Trade Polaris.

No. TradePolaris is independent and has no affiliation with any other company, trading platform, crypto product, or vehicle manufacturer that uses the Polaris name.