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Develop Python strategies with graphical backtesting and market gateways

Organize dividend portfolios and compare income-growth scenarios

Follow Indian market sectors, companies and corporate events

Build equity-research reports with computed models and AI explanations

Choose a connected platform or build against a brokerage API

Check the holdings and exposures hidden behind ETF names

Track broker holdings, dividends and returns in one portfolio

Build chart-based research and explain market decisions with weighted models

Analyze broker records in a local Windows trading journal

Test sentiment and market rules, then inspect the individual outcomes

Search dividend-focused company reports and compare research estimates

Research Indian companies with custom ratios and stock screens

Use Kite for Indian securities and Varsity for market education

Visualize the historical limit order book as a liquidity heatmap

Browse company rankings by market value, country and industry

Track stock-market events with live alerts and ranked screeners

Follow CFD markets with chart controls and a separate demo environment

Assemble portfolio backtests from reusable Python rules

Administer funds from several managers through one New Zealand portal

Arrange market-analysis panels into reusable trading workspaces

Look up bond securities and reported fixed-income trades

Filter US stocks and follow changing scan results

Scan options with your own filters and compare the trade scenarios

Build Java pricing and risk calculations or run portfolio reports from files