Investing

Follow dividend declarations and plan a portfolio income schedule

Inspect the product, model and market inputs behind a valuation

Configure chart workspaces, order routes and share locates

Use a common API structure across financial asset classes

Arrange market-analysis panels into reusable trading workspaces

Compare stock valuation models and the assumptions inside them

Test sentiment and market rules, then inspect the individual outcomes

Research Indian stocks and funds before managing investments

Track investments and examine account and portfolio performance

Turn financial text into structured events and sentiment data

Follow CFD markets with chart controls and a separate demo environment

Develop Python strategies with graphical backtesting and market gateways

Manage recurring investments across New Zealand, Australian and US markets

Consolidate investment holdings and dividend records

Choose Python research and backtesting engines for the task

Explore investment baskets while keeping holdings with your broker

Connect investment research with company events and portfolio tools

Choose how much of portfolio management to automate

Use desktop chart studies with explicit exchange-data options

Configure active-trading layouts, routing and order limits

Select market datasets by instrument, interval and observation type

Track investment transactions in a self-hosted portfolio application

Build recurring investment plans and compare brokerage account options

Choose a connected platform or build against a brokerage API