Build and test strategies. Track risk on a real portfolio. Ask research questions and see the sources behind each answer.
Aegis measures portfolio risk. Vega handles research. The rest of the platform gives them the data and tools they need.
Measures risk as your portfolio changes.
Researches a question, builds the chart, and cites its sources.
Paste your tickers. The demo runs in your browser, so your holdings stay on this page. No account is needed.
Separate tickers with a space or comma. Weights are optional. For example: AAPL 20. You can paste from Excel or a Bloomberg export. AAPL US Equity also works.
Share of portfolio volatility, not of capital.
Computed in your browser. Your holdings never leave this page. Parametric estimate over a 50-name demo universe; illustrative betas, not live market data. The signed-in engine runs full historical simulation across 30k+ names.
Vega turns plain English into a data query and cites the source for every claim.
Momentum has outperformed value by 11.4pp over twelve months, but the spread sits 2.1σ above its twenty-year mean. The last three episodes this wide mean-reverted inside two quarters.
Snapshot as of Jul 1, 2026. Join the beta to ask live.
Walk-forward tests, survivorship checks and overfitting measures expose weak strategies before you use them.
Read the methodology →Each value records when it became public. Set an as-of date to recreate what a model could have known on that day.
Only information available by this date is shown. Inactive and delisted companies are included when the source provides them.
Choose the universe, schedule and risk limits. TradePolaris uses the same rules in the builder, backtest and risk views.
Long quality winners and short low-quality names, with market exposure neutralised.
Combine value and momentum in one portfolio.
Scale momentum exposure to target a steady level of risk.
A quality-screened, low-volatility strategy that reduces risk when the regime changes.
Quotes, breadth, movers, and alerts that fire on your rules.
BriefA sourced summary of the market before the open.
DataMarket data across six asset classes, with available dates shown.
Build appsUse ready-made finance tools or describe the one you need.
Build & proveBuild a strategy and test it before it reaches your portfolio.
ValidateWalk-forward tests with realistic costs and overfitting checks.
AI workspaceBetaConnect verified market and portfolio data to supported AI workspaces.
Data APIBetaQuery versioned, point-in-time market data through an API.
Pin a dataset version so the same request returns the same result later.
Choose a version and rerun the same query later.
# as-of is a parameter, not a filter you remember to add
GET /v1/curated/fundamentals
?universe=sp1500
&as_of=2022-06-30 # what was knowable that day
&version=v41 # pinned; v41 never changes
&cursor=eyJvIjoyMDAwfQ
# -> 200 x-dataset-version: v41 x-rows: 1500 x-complete: trueKappa Data API →Search assets, compare stocks, and bring your portfolio into the conversation.
Start with one portfolio. Add multi-book risk and data workflows when you need them.
Charts and market data stay free. We show the credit cost before each paid run.
Vega previews · preview backtests · free credits monthly · no card
1,000 credits · paper trading · 10 saved apps
Live portfolio risk, stress tests, optimisation and alerts
Multi-book, onboarding, priority support
Backtested / walk-forward results are hypothetical, do not represent actual trading, and are not indicative of future results. TradePolaris does not provide investment advice.